:: Abstract List ::

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151 |
Engineering |
ABS-320 |
A GREEN INFRASTRUCTURE SDGS Num 11: Approach Planning Design Model Reliability of Permeability and Concrete Quality Rural Roads P3MD Program In Wonogiri Iwan Ristanto(a), Slamet Widodo(b), Satoto Endar Nayono(b)
(a) Student of Faculty of Engineering, Postgraduate Engineering Doctoral Program, Yogyakarta State University
(b)Faculty of Engineering, Postgraduate Engineering Doctoral Program, Yogyakarta State University
Abstract
SDGs Number 11 is the urgency of global action to reduce the impact of climate change and overcome challenges in developing a village road with infrastructure model design planning permeability and quality of rural concrete road construction work that is sustainable and leads to Green Infrastructure. Calculating the input discharge of rainwater seeping into the soil through the pores of road construction and testing the compressive strength of concrete rural roads. Testing the permeability uses a rational classification method based on ASTM and International Nomenclature Darcy ^s. Compressive strength of concrete roads using the Rebound Hammer/Concrete Hammer Test method. The input volume of rainwater seeping into the ground through the pores (run off) of rural roads construction in Wonogiri is 724,866m3. The average compressive strength of concrete roads from the hammer test results is 290kg/cm2>K-225 kg/cm2 than the desired construction- deviation- (S=1.75), coefficient of variation (Kv= 7.35%) Application model RAB Dana Vers.3.1 as hummanitarian engginering technology useful for helping the rural community in civil engineering planning to calculate the take of sheet volume, especially in terms of material pore numbers and the quality of concrete construction for village roads.
Keywords: Green infrastructure, Concrete Rural Roads, Permeability, Quality
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| Corresponding Author (Iwan Ristanto)
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152 |
Engineering |
ABS-321 |
TECHNICAL DESIGN OF MINING SEQUENCES TO SUPPORT PRODUCTION TARGETS Dessy Lestari Saptarini (*a), Rizaldi (a), Kartini (a), Rahma Norfaeda (a)
a) Politeknik Negeri Banjarmasin
*dessyls[at]poliban.ac.id
Abstract
Mining planning starts with calculating mining reserves, making a graphical analysis to find out the Stripping Ratio limits, and making a mining sequence design in accordance with the production target. Then, making a forecast of the need for mechanical equipment and finally create a mining scheduling by software. Based on the existing pit at the boundary of Sequence and the southern limit of the Stripping Ratio area in 2023 it is obtained that as 12 units for loading and 24-30 units for hauling. 1 unit of hauling equipment for overburden and 3 units of hauling equipments for coal. Pit design can be planned to be 4 quarterly. It can be known the estimated total coal reserves are 4,066,102 MT, Overburden 5,336,787 CCM, with a stripping ratio of 1.34 bcm/ton with an open pit area of 40.93 Ha. Design of disposal located in the northern area. Design Of Pit with an average distance of 1200 Meter. The total disposal capacity based on design is 5,651,877 CCM with an area of 35.25 Ha. This conDition can accommodate the entire 2023 Pit area.
Keywords: Mining Production Targets, Sequence Techniques
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| Corresponding Author (Dessy Lestari Saptarini)
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153 |
Engineering |
ABS-66 |
Diachronic Analysis of Cirebon City Boundary Changes Utilizing Geographic Information System (GIS) Dini Rosmalia(a*), Yuliani(a), Galih Putra Sulindra(a)
(a)Architecture Department, Faculty of Engineering, University of Pancasila, Jakarta, Indonesia
*dinirosmalia[at]univpancasila.ac.id
Abstract
Cirebon is one of historic cityscape undergoes inevitable transformations shaped by social, political, and economic forces. Adapting to governance shifts, diachronic analysis via Geographic Information System (GIS) highlights the importance of comprehending the citys evolution. This process, documenting historical elements, guides the pursuit of sustainable city life amidst morphological changes. This study utilizes GIS-based diachronic analysis to explore spatial change patterns in Cirebon City, focusing on elements and city boundaries, considering power periodization from the Cerbon Kingdom to the present. This historical research uses diachronic and synchronic analysis, documenting changes through ArcGIS 10.8 (released in 2020) software. The analysis spans four power periods: Cerbon Kingdom, VOC, Dutch colonial, and Indonesian Republic. The research findings demonstrate how the transformation of historical areas in Cirebon City unfolds through the dynamics of political power shifts within this region. This observation underscores the intricate interplay between historical evolution and political transitions. The study outcomes are envisioned to offer valuable knowledge for policy formulation and considerations by the Cirebon City Government, palace management, property owners, and infrastructure users. This information is crucial for preserving historical elements, including structures and cultural activities, fostering Cirebons evolution into a Sustainable City aligned with Sustainable Development Goals (SDGs) eleventh initiative.
Keywords: cirebon city- diachronic- geographic information system-historical area
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| Corresponding Author (Dini Rosmalia)
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154 |
Engineering |
ABS-70 |
Hydrated Lime Addition Effect on The Stability and Durability of Modified Open-Graded Friction Course (1,a)Irawati, (1)Ilanka Cahya Dewi
1Departement of Civil Engineering, University of Muhammadiyah Jember, Indonesia
Abstract
An Open Graded Friction Course is an open-graded asphalt mixture with a high percentage of coarse aggregates, almost uniform in size, resulting in a high percentage of air voids, usually 15 to 25 percent. The main benefits of the mix are improved safety by increasing the frictional properties of the pavement surface and allowing surface water to drain through the pavement. One of the disadvantages of an Open Graded Friction Course is less stability, and a large void makes the layer easy to strip. An additional material that promises to increase stability and durability is hydrated lime Therefore, this study aims, to investigate the effect of lime on Modificated Open Graded Friction Course with cellulose fiber and lime on stability and durability. The method used in the study is the Marshall Stability and particle loss test. The result shows that modification of the Open Graded Friction Course with cellulose fiber and lime increases stability, and decreases particle loss
Keywords: Open Graded Friction course, lime, marshall, particle loss
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| Corresponding Author (Irawati Irawati)
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155 |
Engineering |
ABS-71 |
Development of a Transfer Function (TF) Model for CNG Control System Design Predictions Suroto Munahar(a*), Muji Setiyo(b), Madihah Mohd Saudi(c), Azuan Ahmad(c), Bagiyo Condro Purnomo(a)
a) Department of Automotive Engineering, Universitas Muhammadiyah Magelang, Jl. Bambang Sugeng km.05, Mertoyudan, Magelang, 56172, Indonesia
*munahar[at]unimma.ac.id
b) Center of Energy for Society and Industry (CESI), Universitas Muhammadiyah Magelang, Jl. Bambang Sugeng km.05 Mertoyudan Magelang, 56172, Indonesia
c) Cyber Security and Systems (CSS) Research Unit, Faculty of Science & Technology (FST), Universiti Sains Islam Malaysia (USIM), Nilai, Negeri Sembilan, Malaysia
Abstract
Alternative fuels are the best solution to move towards vehicle technology that produces cleaner emissions. Compressed Natural Gas (CNG) is a promising alternative fuel because it has more affordable energy prices and is more environmentally friendly. A control system is needed to increase savings to realize more efficient vehicle technology with CNG fuel. Seeing this condition, the research focused on developing a CNG control model system using the Transfer Function (TF) approach. The TF method is one way to predict the development of a CNG control system using mathematical equations. Proportional-integral-derivative (PID) as a model for achieving CNG AFR stoichiometry values on the target control system. CNG fuel savings are modeled using mathematical equations with external variables. The AFR CNG lean value (above stochiometry) describes the conditions for achieving fuel savings under certain conditions. This research has not combined ignition timing and environmental conditions. For this reason, modeling with this variable is important for future research
Keywords: CNG- modeling- transfer function- AFR
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| Corresponding Author (Suroto Munahar)
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156 |
Engineering |
ABS-74 |
Design and Development of a Black Box for Motorcycles Dwi Sudarno Putra (a*), Abdul Rahman (a), Wagino(a), Agus Baharudin(b), Milana(a), Habibullah(a), Riki Mukhaiyar(a), Yolli Fernanda(a)
a) Universitas Negeri Padang
Jl. Prof. Dr. Hamka, Air Tawar Bar., Kec. Padang Utara, Kota Padang, Sumatera Barat 25171
* dwisudarnoputra[at]ft.unp.ac.id
b) National Tsing Hua University
No. 101, Section 2, Guangfu Rd, East District, Hsinchu City, Taiwan 300
Abstract
This study focuses on the creation of a Black Box, a vehicle data recording device that records information regarding speed, turn signal activation, and brake use. Its primary purpose is to identify the factors that contribute to motor vehicle accidents. The research includes the design, development, and testing phases of this customized Black Box for mechanized motorcycles. In addition, it provides a practical solution to the difficulties encountered by law enforcement and other parties in determining the cause of an accident. This study is structured as a development research project and entails the conception, production, and evaluation of a novel product. The Black Box design incorporates key components such as the Arduino Uno microcontroller, SD Card Memory, and Real-Time Clock (RTC). This research concludes with significant findings. First, it produces a reliable and effective vehicle data recording system (Black Box) that can identify accident causes. Secondly, experimental results confirm that the efficacy of the device is consistent with its intended design. In addition, the efficacy of the device is highlighted by the fact that it operates without interfering with other mechanical and electrical vehicle systems. This eliminates the need for manual activation and conserves battery power during vehicle inactivity.
Keywords: Motorcycle- Black Box- Microcontroller Arduino Uno- Data Logger- Ototronic
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| Corresponding Author (Dwi Sudarno Putra Putra)
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157 |
Engineering |
ABS-331 |
Analysis of Recovery Factors From Palm Oil MES Surfactants For Light Crude Oil Muhammad Furqon Haryono B.(a), Asri Nugrahanti(a), Rini Setiati(b), Muhammad Taufiq Fathaddin(b), Dwi Atty Mardiana(b)
a) Departement of Petroleum Engineering, Universitas Trisakti, Jakarta, Indonesia
b) Master Program of Petroleum Engineering, Universitas Trisakti, Jakarta, Indonesia
Abstract
The rising demand for crude oil alongside declining reserves necessitates improved production methods. Enhanced Oil Recovery (EOR) through surfactant injection, such as Methyl Ester Sulfonate (MES) from synthesized palm kernel oil, stands as a viable alternative.
The objective of this research is to determine the influence of Methyl Ester Sulfonate (MES) derived from palm kernel oil on the Recovery Factor.
The laboratory research involved core flooding with different light crude oil types (39 degreeAPI, 41 degreeAPI, and 45 degreeAPI) using a core holder. Sandstone rock samples were prepared by saturating them first with brine and then with oil.
The laboratory test results indicate that the recovery factor for the 36degreeAPI core flood was 29,17%, for 39 degreeAPI core flood was 17.86%, for the 41 degreeAPI it was 10.00%, and for the 45 degreeAPI it was 15.63%. The highest increase in oil recovery occurred with the light crude oil of 36 degreeAPI, which showed a 29,17% recovery factor.
From this research, it can be concluded that based on the conducted coreflooding experiments, the palm kernel oil that derived from surfactant MES is capable of increasing oil recovery. The best core flood results observed with the 36 degreeAPI crude oil type.
Keywords: Surfactant, Methyl Ester Sulfonate, Light crude oil, Recovery factor
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| Corresponding Author (Muhammad Furqon Haryono Bimantoro)
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158 |
Engineering |
ABS-77 |
Analysis of the Use of Needle Thrust Bearings in CVT Springs on Torque and Power on Motorcycles Hendra Dani Saputra (a*), M.Yasep Setiawan (a), Dwi Sudarno Putra (a), Wawan Purwanto (a), Wagino (a), Ahmad Arif (a), Toto Sugiarto (a), Wahyu Afrizal (a), Ridho Wahyudi (a)
(a) Department Autmotive Engineering, Faculty of Engineering, Universitas Negeri Padang, Kota Padang, Sumatera Barat, Indonesia
Abstract
Various researches have been carried out on how to increase the torque and power of automatic motorcylce. One interesting thing is the addition of a needle thrust bearing to the Continously Variabel Transmission (CVT) spring. This study needs to be researched so that the impact of using needle thrust bearings on CVT springs has an influence on the torque and power of automatic motorbikes. The research aims to calculate the impact of the influence of adding Needle Thrust Bearings installed on motorcylce CVT springs on the torque and power produced. So a study will be given to see whether the addition of the needle thrust bearing component has a sufficient/significant/large influence on the torque and power of the motorbike. Tests were carried out with the help of a Super dyno 50L brand dynotest tool. The test was carried out three times by paying attention to the engine rotation factor (rpm) as a reference. The test results show that by using a set of Needle Thrust Bearings on CVT springs, there is an average increase in torque of 5.32% and an average increase in power of 5.84%.
Keywords: needle thrust bearing- CVT- torque and power
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| Corresponding Author (Hendra Dani Saputra)
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159 |
Engineering |
ABS-78 |
The Use of Natural Polymers to Enhance Oil Recovery Muhammad Taufiq Fathaddin (a), Fajri Maulida (a*), Valentyn Paul Bodywein Hattu (a), Baiq Maulinda Ulfah (a), Mohamad Obby Adianto (a), and Rozi Afdi (a)
Faculty of Earth and Energy Technology, Trisakti University, Jakarta 11440, Indonesia
Abstract
This paper reports a laboratory study on the use of natural polymers to in-crease oil recovery. The natural polymers used are shrimp chitosan, crab chi-tosan, Cyclea barbata Miers, Mesonapalustris, and seaweed. The aqueous solution stability test showed that all polymer solution samples were clear for various concentrations and salinities. Except for the solutions of Cyclea barbata Miers and Masona palustris which are greenish and blackish respec-tively. Transmittance for shrimp and crab chitosan solutions shows a value of more than 80%. This shows that natural polymers are compatible with brine. Flooding tests were carried out to measure oil recovery related to the use of natural polymers. The experimental results showed that the best ad-ditional oil recovery was 10.3% using crab chitosan solution injection. The chitosan solution used had a concentration of 15,000 ppm and a viscosity of 1,729 cp.
Keywords: Aqueous Solution Stability, Natural Polymer, Enhanced Oil Recovery, Co-reflooding
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| Corresponding Author (Fajri Maulida)
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160 |
Engineering |
ABS-79 |
IoT Application for Monitoring and Recording Solar Power Plant Data Rahmat(a*), Budi Nugroho(b), Arif Hidayat Purwono(c)
(a*)Department of Electrical Engineering, Sekolah Tinggi Teknologi Warga Surakarta, Indonesia
(b)Department of Electrical Engineering, Sekolah Tinggi Teknologi Warga Surakarta, Indonesia
(c)Department of Mechanical Engineering, Sekolah Tinggi Teknologi Warga Surakarta, Indonesia
Abstract
Monitoring the current and voltage produced by solar cells is very necessary to find out how much power the solar cells we use produce. Measuring light intensity helps us to know the intensity of light absorbed by solar cells. This research aims to apply Internet of Things (IoT) technology to monitor and monitor the electrical power produced by solar power plants. The IoT system developed consists of a web server, a smart phone as a device to monitor the current and voltage produced by the solar cell, an ESP32 to process data from current, voltage, temperature and light intensity sensors installed on the Solar Cell and then send the data to the web server. Data sent from the ESP32 is stored on a web server and can be accessed by smartphones. From the results of measurements on the solar panel using current, voltage, temperature and light intensity sensors and data collection was carried out for 7 days, data on the power produced per day was obtained. of 140.2VA, the temperature on the panel during the day is 48.21oC with a light intensity of 31,380 Lux.
Keywords: IoT, Solar Panels, Power generation, Monitoring
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| Corresponding Author (Rahmat -)
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161 |
Engineering |
ABS-337 |
Coffee Plant Disease Identification System Using Factor Certainty Method Nita Wahyu Rini(1), Endah Ratna Arumi(2), Mukhtar Hanafi(3)
123) Informatics Engineering Study Program, Faculty of Engineering, Muhammadiyah University of Magelang, Magelang, Indonesia
Abstract
Coffee plants, vital in agriculture and globally cultivated, especially in Indonesia, a leading producer. Farmers struggle to promptly identify and treat diseases, causing substantial losses. To improve efficiency, a proposed system uses the certainty factor method for disease identification. Implementation of an identification system using the certainty factor method to speed up the provision of disease information and solutions to coffee plant diseases based on predetermined criteria and weights. This study employs the forward chaining method for planning, monitoring, and future-oriented reasoning. Additionally, the certainty factor method ensures accurate results by calculating user-experienced outcomes based on symptom confidence levels. The successful implementation of the identification system was confirmed through black box testing. Alpha black-box testing shows the system is functioning properly. Black-box Beta testing, involving 10 users, resulted in a success rate of 87%, indicating user satisfaction and system efficacy. The findings of this research have valuable implications for the agricultural sector, especially in coffee cultivation areas. The developed identification system can provide benefits to farmers, assisting in the timely detection and treatment of coffee plant diseases, thereby ultimately increasing crop yields and minimizing losses.
Keywords: Coffee Plant Diseases- Identification System- Certainty Factor- Forward Chaining-
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| Corresponding Author (Nita Wahyu Rini)
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162 |
Engineering |
ABS-84 |
Comparison of Coefficient of Performance (COP) values in training kits for air conditioning systems in cars with condensation using air and water Nuzul Hidayat (a*), Milana (a), M. Yasep Setiawan(a), Juli Sardi(a), Al Ikhlas(a), Nuraini Lusi (b), Wawan Aries Widodo (c)
a) Universitas Negeri Padang, Indonesia
*nuzulhidayat[at]ft.unp.ac.id
b) Politeknik Banyuwangi, Indonesia
c) Institut Teknologi Sepuluh Nopember
Abstract
This research aims to compare the coefficient of performance (COP) of the air conditioning system in a car training kit that uses two different types of condensation, namely using air and water. The research was carried out by implementing these two condensation methods in a car AC system in a training kit designed to simulate real conditions. The data collection method involves measuring the energy consumption and cooling efficiency of both systems. Testing is carried out in various environmental conditions which include variations in temperature, humidity, and other operational conditions that can affect the performance of each system. The research results show a comparison of COP between air conditioning systems that use air and water condensation. The findings show that systems using air condensation have a lower COP, namely 2.24, compared to systems using water condensation with a value of 2.53 in a certain range of conditions. The efficiency of both systems is also influenced by certain environmental factors, but the efficiency value for condensation with air remains lower with a value of 56.92, while with water condensation with a value of 65.10, this gives an indication that condensation using water is better in the air conditioning system in cars. The conclusion of this research is that both condensation methods have their respective advantages and disadvantages in terms of efficiency and performance. The knowledge gained from this research can provide a more in-depth view regarding the application of condensation technology to car air conditioning systems. This can become a basis for further development in improving the efficiency and performance of car AC systems in the future
Keywords: coefficient of performance, air conditioner, car, water
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| Corresponding Author (Nuzul Hidayat Hidayat)
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163 |
Engineering |
ABS-85 |
Leveraging Self-Attention Mechanism for Deep Learning in Hand-Gesture Recognition System Muhamad Amirul Haq(a*), Le Nam Quoc Huy(b), Muhammad Ridlwan(c), Ishmatun Naila(d)
a) Department of Computer Science, Faculty of Engineering, Universitas Muhammadiyah Surabaya, Surabaya, Indonesia
*amirulhaq[at]ft.um-surabaya.ac.id
b) Department of Mechanical Engineering, College of Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan
c) Department of Indonesian Language and Literature, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surabaya, Surabaya, Indonesia,
d) Primary School Education Program, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surabaya, Surabaya, Indonesia
Abstract
This research addresses the complex challenge of recognizing hand gestures irrespective of the user^s body posture, a crucial issue in medical treatment for people with speech impairments and human-machine interfaces where precise gesture interpretation is vital. The aim is to engineer an advanced hand gesture recognition system, effective across various body positions and camera viewpoints. A novel flexible camera arrangement was employed, integrating a CNN-Transformer hybrid model, leveraging the strengths of Convolutional Neural Networks and the self-attention mechanism of Transformers. Developed using Python and the PyTorch deep learning framework, the system focuses on sophisticated image processing techniques. A thorough literature review on gesture recognition systems and multi-view analysis was conducted to inform the development. The system demonstrated exceptional accuracy in recognizing hand gestures in diverse body postures and from multiple camera perspectives, significantly outperforming existing methods. It marked a significant advancement in decoding complex gestures, a key aspect for medical applications and intricate human-machine interactions. This technology is primarily beneficial for people with speech impairments, rehabilitation, and in human-machine interfaces, poised to revolutionize patient care and enhance interaction with advanced machinery and computer systems.
Keywords: Hand Gesture Recognition- CNN-Transformer Hybrid- Speech Impairment Assistance- Human-Machine Interface- Deep Learning
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| Corresponding Author (Muhamad Amirul Haq)
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164 |
Engineering |
ABS-86 |
Bio-Water Diesel Emulsion and its Effects on The Engine and Pollution-Review Annisa Bhikuning (a*), Daniel Aldebaran (a), Budi Setiawan (a), Jamal F Jati (a)
a) Mechanical Engineering Department
Universitas Trisakti
Jl. Kyai Tapa No. 1, Grogol
Jakarta Barat 11440
Indonesia
* annisabhi[at]trisakti.ac.id
Abstract
Diesel fuel is a liquid fuel, operates in diesel engine and has higher viscosity than gasoline. Diesel fuel is usually used as a fuel for motorized vehicles such as buses, trucks, trains, tractors and other heavy equipment as well as military vehicles. However, the use in diesel fuel can cause some pollutants such as, CO, HC, NOx, and particulate matter. Therefore, it is important to reduce some emissions by using alternative additives into diesel fuel. One of the methods in increasing fuel property is bio-water diesel emulsion. The purpose of this study is to review some findings in bio- water diesel emulsion in several studies. Therefore, a good percentage in water, fuel and additives can be concluded. In this study, bio-water diesel emulsion can reduce some emissions compared to diesel fuel. This occurs due to the micro-explosion phenomenon which can accelerate the decomposition of water droplets in the fuel. The study shows that 20% water mixture will result in better fuel combustion and reduced emissions. It is concluded that bio-water diesel emulsion can be an alternative fuel for replacing diesel fuel because it is environmentally friendly and has a better performance in the engine.
Keywords: Bio-water diesel- emulsion- emissions- diesel fuel- engine
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| Corresponding Author (Annisa Bhikuning)
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165 |
Engineering |
ABS-87 |
Subsonic Windtunnels Air Speed Control Devices Base on Arduino Controller M. Yasep Setiawan (a)*, Andre Kurniawan (b), Ichsan Nasution (a), Dwi Sudarno Putra (a), Toto Sugiarto (a), Nuzul Hidayat (a), Edy Susanto (c), Masykur (d), Miswardi (a)
a) Department of Automotive Engineering,Universitas Negeri Padang
b) Department of Mechanical Engineering, Universitas Negeri Padang
c) Department of Mechanical Engineering, Institut Teknologi PLN
d) Department of Mechanical Engineering, Universitas Teuku Umar
Abstract
This study discusses the process of making a wind tunnel airspeed control device using arduino as the main component of the controller unit. Wind tunnel testing is carried out at varying air speeds as needed in order to obtain optimal results. The fan motor as an air flow generator is not equipped with an air speed controller. The purpose of this research is to make a tool that can control wind tunnel airspeed according to the testing needs. This research was conducted using the research and development method. The power supply voltage output is set at 11.19 Volts as the arduino voltage source and for other components such as LCD displays, servo motors, relay modules and anemometer sensors supplied from the Arduino mainboard plus and arranged in parallel with the power supply source reduced using a stepdown to 5.069 Volts.
Keywords: adruino, subsonic windtunnel, Air speed controler, Microcontroller
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| Corresponding Author (M. Yasep Setiawan)
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166 |
Engineering |
ABS-343 |
Forecasting Application for Effective Amounts of Capital and Feed in Fisheries Cultivation Putra Winly Octavianto, Purwono Hendradi, Setiya Nugroho
Universitas Muhammadiyah Magelang
Abstract
Fish cultivation in Indonesia has promising business opportunities, because fish production is still not able to meet market demand. Apart from that, per capita fish consumption of the Indonesian population increased by 5.04 percent per year. There are still many entrepreneurs who want to become fish farmers who cannot predict the total amount of capital that must be spent to start an inland fishery. The aim of this research is to create an application that can predict the amount of capital and amount of feed that is effective for aquaculture. The method used is Fanite State Automa (FSA) using the variables land area, feed price per kilogram, and seed price per head. The steps taken in calculating capital include collecting constant and variable data, calculating the number of fish, biomass, amount of feed, and price of seeds, as well as calculating the total capital required for aquaculture. By using these steps, it is hoped that we can obtain accurate and useful capital and feed prediction results in fisheries cultivation.
Keywords: forecasting- system- capital- fish feed-
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| Corresponding Author (Setiya Nugroho)
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167 |
Engineering |
ABS-345 |
Information Systems Strategic Planning with the Ward and Peppard Framework (Case Study of Research Data and Innovation in Magelang City) Ardhin Primadewi, Catur Rahmawati
Universitas Muhammadiyah Magelang
Abstract
Law Number 23 of 2014 encourages innovation in the administration of the Regional Government to improve performance and public services towards community welfare. The development of Regional Innovation in Magelang City involves the Government, the Community, Local Government Organizations (OPD), and Higher Education. The Regional Development Planning Agency of Magelang City (BAPPEDA) strives to facilitate innovation development from both the community and OPD. However, several issues have been encountered, such as (1) Less optimal Intellectual Property data management, (2) conventional management of spatial data, (3) difficulty in accessing research data due to a challenging database, (4) scattered government innovation data within each OPD, and (5) the Department of Investment and Integrated One-Stop Services (DPMPTSP), as the research permit agency, has not followed up on the research implementation process. To address these issues, a study focused on information strategic planning IS/IT using the Ward and Peppard framework as a planning strategy for managing research and innovation data in Magelang City. The research revealed that using Value Chain Analysis identified primary and support activities. Additionally, fishbone analysis highlighted factors underlying the importance of information strategic planning IS/IT in the Machine, Measurement, and Method categories. The study^s outcome includes a recommendation to utilize PIECES analysis.
Keywords: Ward and Peppard, Value chain analysis, PIECES analysis, Magelang City, Information Systems Strategic Planning
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| Corresponding Author (Ardhin Primadewi)
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168 |
Engineering |
ABS-91 |
Utilization of Machines to Produce Craft Raw Materials from Doyo Leaf Fiber Ratna Wulaningrum (a*), Dwi Cahyadi (b), Suparno (c)
a) Accounting Department, Politeknik Negeri Samarinda, Samarinda, Indonesia
*ratna[at]polnes.ac.id
b) Design Department, Politeknik Negeri Samarinda, Samarinda, Indonesia
c) Machine Department, Politeknik Negeri Samarinda, Samarinda, Indonesia
Abstract
The limitation of raw materials for doyo leaf fiber crafts is that the fiber produced is still stiff so it is mostly used for crafts in the form of decoration only. Researchers made a machine to produce doyo leaf fiber with a finer texture to help local craftsmen improve the quality of their products. This research aims to test the use of machines by local craftsmen to produce raw materials from doyo leaf fiber. This research uses a comparative description method between the process of producing raw materials from doyo leaf fiber using a machine and manually. This research found empirical evidence that doyo leaf fiber processed by machine produces products with softer quality than when processed manually. The strength of the fibers produced by the machine is the same as if processed manually. The results of this study are useful for improving the quality and diversity of products produced by local craftsmen using doyo fiber as raw material. While doyo leaf fiber has been mostly used to make decorations, processing it using a machine produces fine fiber so it can be used for fashion products.
Keywords: Machine- Doyo leaf fiber
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| Corresponding Author (Ratna Wulaningrum)
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169 |
Engineering |
ABS-92 |
BUSINESS MODEL INNOVATION OF OFF GRID PUBLIC ELECTRIC VEHICLES BATTERY SWAP STATION WITH SOLAR POWERED Tubagus Alviannanda, Vita Lystianingrum Budiharto Putri
PLN, ITS
Abstract
Energy transition is Indonesia^s national agenda in order to maintain energy security and realize the use of green energy. The use of electric vehicles (EVs) is one strategy to maintain primary energy security and support the reduction of carbon emissions. In an effort to support the growth of the EVs ecosystem, Public Electric Vehicle Battery Swap Stations (Stasiun Penukaran Baterai Kendaraan Listrik Umum, SPBKLU) have been developed and installed in several locations. Currently, SPBKLU still uses electricity sources from the PLN (Perusahaan Listrik Negara, Indonesia electricity state-owned company) grid, where the majority of the PLN grid itself still relies on gas and coal power plants. Hence, this work proposed a PV-powered battery swap station and present the financial and SWOT analysis. Two business model schemes are proposed, namely the BPCOSO (Battery Provider, Cabinet Owner, Solar PV Owner) and BPCOSL (Battery Provider, Cabinet Owner, Solar PV Lease) schemes.
From these two business schemes, the results of the financial feasibility analysis for the SPBKLU swap rate were obtained at IDR 18,241 for the BPCOSO scheme and IDR 21,500 for the BPCOSL scheme. From a SWOT analysis perspective, the BPCOSO and BPCOSL business schemes have the opportunity to increase the Solar PV business value chain and support government programs in achieving Net Zero Emissions. However, there are still weaknesses in terms of tariffs which are still not economical when compared to the fuel costs of conventional two-wheeled vehicles and the current SPBKLU swap tariff which still uses electricity from the PLN grid.
Keywords: Business, Solar PV, SPBKLU
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| Corresponding Author (Tubagus Alviannanda)
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170 |
Engineering |
ABS-93 |
Improved Vehicle Detection Accuracy Using CLAHE Andi Widiyanto, Setiya Nugroho, Muhammad Resa Arif Yudianto
Universitas Muhammadiyah Magelang
Abstract
The large number of vehicles can cause new problems in various fields .Vehicle detection errors can occur in the vehicle detection system when several vehicles are side by side so that they are not detected or are detected as larger vehicles. This research produces a vehicle type detection system to improve Vehicle Detection Accuracy by applying image processing on Convolutional Neural Network (CNN). In this study, experiments were conducted with 20 image processing scenarios in the pre-processing image before the training process to produce an object detection testing model. The simulation test results show that not all image processing scenarios can improve the accuracy of the detection process. The combined image processing scenario of Blue Channel + CLAHE + gaussian filter + thresholding produces an accuracy of 97%.
Keywords: vehicle detection, image pre-processing, CNN, CLAHE
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| Corresponding Author (Andi Widiyanto)
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171 |
Engineering |
ABS-94 |
Analysis of Gasoline Engine Exhaust Emissions Using a Hydrocarbon Crack System Ahmad Arif (a*), Osvaldo Adven Kurniawan (a), Donny Fernandez (a), M. Yasep Setiawan (a), Wawan Purwanto (a), Wagino (a), Milana (a), Hendra Dani Saputra (a), Dwi Sudarno Putra (a)
a) Automotive Engineering, Engineering, Universitas Negeri Padang, Padang, Indonesia
*ahmadarif[at]ft.unp.ac.id
Abstract
The increase in the number of motorbikes as a means of transportation results in increased exhaust emissions resulting from combustion of gasoline engines and is dangerous for human health. The use of a Hydrocarbon Crack System is one solution to reduce exhaust emissions in gasoline engines. Hydrocarbon Crack System can perfect the combustion process resulting in low exhaust emissions. The aim of this research is knowing gasoline engine exhaust emissions using the Hydrocarbon Crack System. The research used experimental methods applied to gasoline engine motorbikes with a fuel injection system. Adding Hydrocarbon Crack System is a tool to break down hydrocarbon elements in fuel gas. The use of the Hydrocarbon Crack System in gasoline engines reduces the levels of HC 20 percent and CO 4 percent exhaust emissions at rpm 5500 and above and the exhaust temperature is 215 degrees celsius so that it can maximize the work of the catalyst.
Keywords: Gasoline engine- exhaust emission- hydrocarbon crack system
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| Corresponding Author (Ahmad Arif)
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172 |
Engineering |
ABS-98 |
Eco-Friendly Motorcycle Technology: Examining the Impact of Banana Peel-Based Catalytic Converters on CO Emissions with Biogasoline Fuel Wagino Wagino (a*), Wawan Purwanto (a), Hendra Dani Saputra (a), Dwi Sudarno Putra (a), Milana Milana (a), Eko Indrawan (a), Bulkia Rahim (a), Rahmat Desman Koto (a)
a) Universitas Negeri Padang
Jl. Prof. Dr. Hamka, Air Tawar Bar., Kec. Padang Utara, Kota Padang, Sumatera Barat 25171
* wagino[at]ft.unp.ac.id
Abstract
This study aims to overcome the impact of increased air pollution due to an increase in the number of motor vehicles, especially due to dependence on fuel oil. The focus of research is the use of banana peels as activated carbon to reduce vehicle exhaust emissions in the hope of providing environmentally friendly alternative solutions to reduce air pollution, utilising the adsorption properties of banana peels, and using biogasoline to overcome potential fuel crises. The experimental method was used to test the effect of an activated carbon catalytic converter made from banana peel with biogasoline fuel on motorcycle exhaust emissions. The test results showed that the use of catalytic converters with biogasoline fuel tended to reduce carbon monoxide (CO) levels by an average of 18%, compared to standard conditions with pertalite fuel. The results of the Paired Samples T-Test showed a strong correlation with a value of 0.967 and a significance level of 0.033, where a small value of 0.05 means statistically significant.
Keywords: Catalytic Converter, Activated Charcoal Banana Peel, Exhaust Gas Emissions, Motorcycle, Biogasoline.
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| Corresponding Author (Wagino Wagino)
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173 |
Engineering |
ABS-100 |
Biomass-Fueled Stirling Engine Technology for Sustainable Electricity Generation in Remote Areas of Indonesia: A Comprehensive Review Teguh Suprianto
Banjarmasin State of Polytechnic
Abstract
Indonesia, as the world^s largest archipelagic nation, grapples with the challenge of providing equitable electricity access, particularly in remote regions. Limited infrastructure and accessibility have resulted in constrained electrical supplies for communities in these areas. This study presents a thorough literature review on the application of Stirling Engine technology fueled by biomass in addressing the power distribution challenges in remote Indonesian regions.
The review focuses on the fundamental principles, advantages, and potential challenges of implementing biomass-fueled Stirling Engines in Indonesia. Economic feasibility and environmental impact assessments underscore the technology^s potential.
Findings indicate significant promise for biomass-fueled Stirling Engine technology in providing sustainable electricity solutions in Indonesia^s remote, biomass-rich regions. However, challenges such as the use of specialized gases and considerations of reliability, equipment costs, maintenance, and efficiency highlight areas for further refinement. This research offers valuable insights for researchers, practitioners, and policymakers seeking sustainable energy solutions for remote electrification in Indonesia.
Keywords: Stirling engine, biomass, remote areas, sustainable electricity generation. renewable energy
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| Corresponding Author (Teguh Suprianto)
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174 |
Engineering |
ABS-101 |
ANALYSIS OF SURGICAL SUTURE PRODUCTION PROCESS CONTROL USING STATISTICAL PROCESS CONTROL (SPC) METHODS Nurul Fathiya, Wawan Kurniawan, Mustamina Maulani
UNIVERSITAS TRISAKTI
Abstract
The medical industry currently has very high quality standards for medical products such as surgical sutures. PT XYZ, as a well-known manufacturer in this industry, faces challenges in reducing the level of surgical suture product defects. This research focuses on the surgical suture production process produced by PT XYZ. One strategy to gain a competitive advantage is to continuously improve the quality of its products. This condition must be supported by the implementation of quality control in the process so that it can run well to produce products that have high competitiveness. The aim of this research is to analyze whether the surgical suture production process is statistically controlled or not and to analyze whether the production process meets the specified design or not. The data used in this research are secondary data and primary data. Primary data was obtained through direct observation and interviews, while secondary data was obtained from the internet, literature and journals. This research uses statictical process control (SPC) as an analysis tool by creating X and R control charts and analyzing process capabilities. The research results show that the control of the surgical suture production process is a reliable process. This is an indication that the process is under control or is not experiencing deviations. The process capability ratio shows that the process is said to be feasible and does not need to be improved. The process capability index shows that the process accuracy is good, which means that the process does not need to be improved.
Keywords: Statistical Process Control, Control Chart, Process Capability
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| Corresponding Author (Nurul Fathiya)
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175 |
Engineering |
ABS-103 |
COMPARISON BETWEEN CITRONELLA OIL AND CLOVE OIL ADDITIVES ON FUEL CONSUMPTION, POWER AND TORQUE OF MOTORCYCLES Milana Milana (a*), Agung Sulaiman (a), Toto Sugiarto (a), Nuzul Hidayat (a), Eri Wirdianto (b), Kathleen Ebora Padrigalan (c), Budi Utomo Wisesa (a), Ichsan Nasution (a)
a) Automotive Engineering, Universitas Negeri Padang
b) Industrial Engineering, Andalas University
c) Mechatronics Engineering, University of Science and Technology of Southern Philippines
Abstract
The use of essential oil additives in fuel has been widely recognized to enhance fuel quality due to increasing oxygen content. The increased oxygen content in the fuel can improve combustion performance in the combustion chamber. This study aims to analyze the effect of citronella oil and clove oil as essential oil additives to gasoline on fuel consumption, power, and torque of motorcycles. This research is conducted through the experimental study by varying the composition of additives added to gasoline. Citronella and clove oil are added to RON 90 gasoline in a 5%, 10%, and 15% ratio. The result confirms that adding citronella oil can improve combustion performance than clove oil. Among those ratios, citronella oil 10% makes the most significant improvement on the combustion performance of motorcycles on all criteria: fuel consumption, power, and torque.
Keywords: Citronella Oil, Clove Oil, Fuel Consumption, Power, Torque
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| Corresponding Author (Milana Milana)
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176 |
Engineering |
ABS-362 |
Investigating the Impact of Training and Testing Ratios on the Performance of an AI-Based Malware Detector using MATLAB Carlo N. Romero (a*), Matt Ervin G. Mital (a) Zagie D. Rostata (a) Mark Angelo M. Martinez (a)
a) College of Engineering, Our Lady of Fatima University - Quezon City Philippines
Abstract
This research investigates the impact of the training and testing ratios on the performance of an AI-Based Malware Detector using MATLAB. The experiments through MATLAB have shown that higher training percentage means that a larger portion of dataset for training the model have been used while a lower training percentage shows that a large portion of the dataset reserved for testing the model^s performance. The exploration of the influence of training and testing ratios also have been able to determine the performance of an AI-Based Malware Detector. The results give to determining the relationship between training and testing ratios and the effectiveness of the malware detection system.
Keywords: Malware Detector- Artificial Intelligence- MATLAB-Based Systems- AI-Based System
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| Corresponding Author (Carlo Nunez Romero)
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177 |
Engineering |
ABS-109 |
Enhancing production performance using sustainable lean supply chain: A case study in an Indonesian Shoe Manufacturer Raditya Abyudaya Putra1, Emelia Sari1*, Parwadi Moengin1, Rahmi Maulidya1, Mohd Yazid Abu2
1. Universitas Trisakti, Faculty of Industrial Technology, Department of Industrial Engineering, 11440, Kyai Tapa No 1, West Jakarta, Indonesia
2. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia
Abstract
Company X is an Indonesian shoe manufacturing company that collaborates with sports apparel from Germany as a manufacturer in the Partner supply chain. The material procurement, subcontractor, production, and storage take a long time in the product supply chain because the lead time is longer than the specified lead time, resulting in delays in shoe products and product quality problems. Moreover, it becomes waste that has a destructive impact on the supply chain. In the chain process, some effects impact environmental conditions due to the rest of the production process, and products rejected become waste. This research aimed to overcome this issue using the Sustainable Lean Supply Chain approach to improve economic gain, social security, and environmental quality. First, determine the cause of the problem using a fishbone diagram and Sustainable-Value Stream Mapping (SVSM) to map the supply chain flow of the current condition (inbound, operation, and outbound). The results of SVSM were analyzed using Process Activity Mapping tools to group activities according to the division of activity types, namely non-value-added, necessary non-value-added, and value-added. The Sustainability Index (SI) calculation uses indicators based on economic, social, and environmental pillars. The results of the SVSM mapping of the production operation process obtained a process cycle efficiency (PCE) of 62.34% and a manufacturing lead time (MLT) of 624,874.01 seconds with conditions after repair of 68.26% and MLT of 570,736.29 seconds. The SI for inbound improvement is 111.02%, the operation process is 86.01%, and outbound activity is 184.33%. The results of this research can guide practitioners in implementing a lean supply chain competitive strategy to enhance the SI. The research provides empirical evidence of the positive relationship between a sustainable lean supply chain and sustainable performance for academicians.
Keywords: Supply chain, lean, sustainability, shoe company, competitive strategy
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| Corresponding Author (Emelia Sari)
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178 |
Engineering |
ABS-110 |
The Influence of Electrolyzer Addition to the 4-Stroke Modified Injection System on Fuel Consumption and Exhaust Gas Emissions in Motorcycle Engines. Wawan Purwanto (a*), Ridho Wahyudi (a), Krismadinata(a), Fitrah Ridwan (a), Irma Wirantina Kustanrika (b)
a) Universitas Negeri Padang
Jalan Prof. Dr. Hamka, Padang 25171
*wawan5527[at]ft.unp.ac.id
b) Sekolah Tinggi Teknik PLN
Jalan. Lkr. Luar Barat, Daerah Khusus Ibukota Jakarta 11750
Abstract
The demand for fuel is increasing along with the growth of the motor vehicle population, especially motorcycles. Currently, motorcycles rely on oil-based fuels, producing unhealthy exhaust emissions. One way to reduce fuel consumption and the resulting exhaust emissions is through the implementation of an electrolyzer. The electrolyzer is capable of saving fuel consumption and improving the engine combustion system. The objective of this research is to analyze the influence of adding an electrolyzer to the motorcycle fuel system on fuel consumption and exhaust gas. This study was conducted on a carbureted motorcycle that has been modified with injection. The results of fuel consumption and exhaust gas emission tests with electrolyzer treatment were compared with those without electrolyzer treatment. The results showed a decrease in fuel consumption at 2000 RPM by 31.36%, at 4000 RPM by 8.73%, and at 6000 RPM by 15.48%. In terms of exhaust gas emissions, CO decreased by 47.37%, CO2 increased by 24.37%, and HC decreased by 45.11% at 2000 RPM. At 4000 RPM, CO decreased by 89.11%, CO2 increased by 35.48%, and HC decreased by 36.98%. And at 6000 RPM, CO decreased by 41.67%, CO2 increased by 17.26%, and HC decreased by 6.92%.
Keywords: Fuel Consumption- Exhaust Emissions- Electrolyzer
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| Corresponding Author (Ridho Wahyudi)
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179 |
Engineering |
ABS-366 |
Horizontal Well to Optimized Production from Low Quality Reservoir Tara Puspita Hapsari (a,b), Muhammad Afif Ikhsani (a), Muhamad Ravi (a,b), Rizki Arya Putra (a), Muhammad Taufiq Fathaddin (b*)
a) PT. Pertamina Hulu Rokan, Pekanbaru 28263, Indonesia
b) Universitas Trisakti, Jakarta 11440, Indonesia
*muh.taufiq[at]trisakti.ac.id
Abstract
X Field is one of mature light oil field that being discovered in 1972 and started its first waterflood campaign in 1992 and its first horizontal well campaign in 1998, the field is currently developed from 560 wells with 21 of it is horizontal wells targeted 6 different sands (T, D9, D10, B135 and B150 sand) with low quality reservoir sandstone characteristic. Two of the first horizontal wells is targeted T sand with cemented liner completion added with fracturing job at initial completion, gave cumulative production of 39.44 MBO and 222.36 MBO before being abandon in 2011 and 2021. Other wells consist of 19 wells with 14 of it still being active targeted D9, D10, B135 and B150 sand was completed with open hole liner without having any fracturing stimulation in its life span. Six wells targeted D9 sand is diagnosed having high water cut levels since the first production and currently having low pressure problem that gave average EUR only 46.62 MBO. Other package targeted D10 sand has gradually increased water cut level and still good performance in even low-pressure area with average EUR of 127.63 MBO from 6 wells. The only one horizontal wells with B135 sand as its target has low water cut production even after being produced since 2015 with EUR of 261.41 MBO. Last package of horizontal wells in X Field is targeted B150 sand from 6 wells have good performance with stable production with average EUR of 308.91 MBO. Lookback analysis has been performed with conclusion that the new horizontal well campaign will adopt successful completion strategy with open hole liner with swelling packer to segmentized the well when the segmented section identified as wet zone. Pressure map overlaid with HPT area was modelled to find area of interest combined with swab test from surrounding wells to assure only area with adequate pressure, good oil opportunity and low water cut is continued to drainage area assessment. Last step of the assessment is forecasting using Joshi Equation to determine fluid production capability then using water cut and decline trend of analog wells, EUR of proposed wells can be estimated.
Keywords: Horizontal well, Low quality reservoir- Opportunity assessment- Completion strategy- Joshi Equation
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| Corresponding Author (Muhammad Taufiq Fathaddin)
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180 |
Engineering |
ABS-113 |
Multi-Angle Facial Recognition: Enhancing Biometric Security with a Broadly Positioned Stereo-Camera System Muhamad Amirul Haq(a*), Le Nam Quoc Huy(b), Muhammad Ridlwan(c), Ishmatun Naila(d)
(a) Department of Computer Science, Faculty of Engineering, Universitas Muhammadiyah Surabaya, Surabaya, Indonesia
* amirulhaq[at]ft.um-surabaya.ac.id
(b) Department of Mechanical Engineering, College of Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan
(c) Department of Indonesian Language and Literature, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surabaya, Surabaya, Indonesia,
(d) Primary School Education Program, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surabaya, Surabaya, Indonesia
Abstract
This study addresses the vulnerabilities of traditional monocular camera-based face recognition systems, emphasizing the need for improved security and reliability in biometric authentication under varying conditions and human poses. To counteract the risk of spoofing attacks using masks or static images, we introduce a multi-angle stereo camera system. This system is strategically designed to capture facial imagery from multiple perspectives, thereby enhancing depth perception and spatial accuracy, crucial for high-security authentication. Employing a novel image processing approach, the study integrates a hybrid model of Convolutional Neural Networks and Transformers. This combination exploits CNN^s robust feature extraction capabilities with the Transformers^ generalization prowess, enabling precise detection and analysis of 3D facial landmarks. Such an approach significantly bolsters the system^s ability to differentiate between genuine faces and deceptive representations like masks or static images. Empirical results demonstrate that the stereo camera configuration substantially improves recognition accuracy, reducing both false positives and negatives, especially in controlled spoofing scenarios. The advanced 3D facial landmark detection further reinforces the system^s security. With its enhanced robustness and security, the developed system shows great potential for applications in areas requiring stringent identity verification, such as banking, public facilities, and smart home technologies.
Keywords: Stereo Camera- Face Recognition- Biometric Authentication- Deep Learning- Facial Landmark.
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| Corresponding Author (Muhamad Amirul Haq)
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