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1	Advanced material engineering	ABS-56
Enhancement of UV-Light Fastness and Antibacterial Activity of Natural Dye-Colored Batik Fabric by ZnO Nanoparticles-In Situ Functionalization Synthesized from Electric Arc Furnace Dust Waste Istihanah Nurul Eskani, Edia Rahayuningsih, Widi Astuti and Bidhari Pidhatika 1Centre for Craft and Batik, Ministry of Industry, Jl. Kusumanegara No. 7 Yogyakarta 55166, Indonesia 2Department of Chemical Engineering, Gadjah Mada University, Indonesia 3Research Center for Mining Technology, National Research and Innovation Agency (BRIN), Indonesia 4Research Centre for Polymer Technology, National Research and Innovation Agency (BRIN), Indonesia and Collaborative Research Center for Biomedical Scaffolds, National Research and Innovation Agency of the Republic Indonesia and Universitas Gadjah Mada, Jalan Denta, Sekip Utara No.1, Yogyakarta 55281, Indonesia Abstract Natural dye-colored batik fabric has attracted extensive attention due to their unique color and environmental friendliness. However, natural dye-colored batik fabric has weaknesses, including the color is easy to dull and easy to grow bacteria. This study aims to provide functionalization on natural dye-colored batik fabric using ZnO nanoparticles (ZnONP) synthesized from Electric Arc Furnace Dust (EAFD) waste to provide antibacterial properties and UV-light fastness. In situ functionalization was carried out using EAFD-containing nitric acid with a concentration of 0.1 M- pH 9 and temperature of 70oC, 80oC and 90oC. The nanoparticles formed and treated batik fabric were characterized using FESEM and XRD to observe the morphology and size of the nanoparticles, respectively. Antibacterial properties and UV-Light fastness were tested using the agar diffusion method and UV lamp-photoreactor, respectively. Based on the characterization using FESEM and XRD showed that ZnO nanoparticles were successfully synthesized and imparted to natural dye-colored batik fabric. Natural dye-colored batik fabric applied by ZnO nanoparticles at 70oC showed better antibacterial properties and UV-Light fastness than that applied at 80oC and 90oC. Keywords: ZnO nanoparticles, Batik fabric, Antibacterial, UV-Light fastness, In situ, Natural dye Share Link | Plain Format | Corresponding Author (Istihanah Nurul Eskani)

2	Advanced material engineering	ABS-63
Preparation Of Nickel Hydroxide Nanoparticles With Electrolysis Methods Akhmad Solikin, Yanatra Budi Pramana, M.Sochibul A^laal Ma^arif, Nabilla Nur Afifah, Krisyanti Budipramana Universitas PGRI Adi Buana Surabaya Abstract In this paper, we have reported the nickel hydroxide Ni(OH)2 nanoparticles synthesized by electrolysis method using NaOH, and sodium citrate 0.3 M . Therefore, the synthesis method is determining the size and shape of Nickel Hydroxide nanoparticles obtained. The results obtained were characterized with X-ray Diffraction (XRD), Fourier Transform Infrared Spectrometer (FTIR), and Scanning Electron Microscopy (SEM). Hexagonal Ni(OH)2 nanoparticles with high purity were prepared successfully using electrolysis method with NaOH concentration 0.3 M at voltage 55 volt, the peaks in the sample similar with peak Ni(OH)2 International Centre for Diffraction Data (ICCD) card number 177, the results of SEM obtained nanoparticles size of 1mikro m. Keywords: Ni(OH)2, nanoparticles, electrolysis Share Link | Plain Format | Corresponding Author (Akhmad Solikin)

3	Advanced material engineering	ABS-87
Aerogel Sensoric Nanoparticles With Controlled Surface Area And Pore Structure Synthesis From Bagasse Ash Nanik Astuti Rahman 1, Masrurotul Ajiza 2, Cindy Mutiara Septani 1 a) 1. Study Program of Chemical Engineering, Faculty of Industrial Technology, National Institute of Technology (ITN) Malang 65153, Indonesia 2. Department of Geodetic Engineering, National Institute of Technology (ITN) Malang 65153, Indonesia a)Corresponding author: cindymutiara13[at]lecturer.itn.ac.id Abstract Aerogel nanoparticles which originated from organic silica in bagasse ash are unique because the silanol groups present on the silica surface can be replaced with other functional groups according to the application. Another uniqueness of the aerogel nanoparticles is the large surface area and pore structure, thus making the aerogel suitable as a sensory material. The combination of the ability to adsorb and the addition of electromagnetic properties can make this material useful as a sensor. In this research, we focused on the optimization of the synthesis of aerogel-based sensors by doping nickel (Ni) nanoparticles to create a highly sensitive and selective sensor material. The synthesis of aerogel nanoparticles was carried out using ambient pressure and alkaline extraction under atmospheric conditions. The aerogel was doped by replacing the silanol group (Si-OH) with Ni. The synthesized Ni-doped aerogel possesses a combination of microporous, mesoporous, and macroporous structures which contributed to its high pore density, pore volume, and surface area. The Ni-doping provides an electromagnetic effect that enhanced the sensory properties on the surface of the aerogel. The findings suggest that the Ni-doped aerogel is a promising material for a sensor application. Keywords: aerogels, sensors, nanoparticles, sensory materials, bagasse ash Share Link | Plain Format | Corresponding Author (Cindy Mutiara Septani)

4	Advanced material engineering	ABS-111
Synthesis and Characterization of SnO2 Nanoparticles by Electrolysis Method Yanatra Budi Pramana, Rusdiyantoro, M. Nushron Ali Mukhtar, Ilham Jangkit Pamuncak , Sotyohadi 1.Industrial Engineering Dept., Faculty of Engineering, University of PGRI Adi Buana Surabaya, Indonesia 2. Electrical Engineering Dept., Faculty of Industrial Technology, National Institute of Technology (ITN)Malang, Indonesia Abstract Keywords: SnO2 nanoparticles, electrolysis Share Link | Plain Format | Corresponding Author (yanatra pramana)

5	Artificial intelligent and Its Applications	ABS-28
Recognizing Acne Vulgaris Severity Levels: An Application of Faster-CNN and YOLO Methods on Medical Images Flasma Veronicha Hendryanna (a), Yan Watequlis Syaifudin (a*), Muhammad Afif Hendrawan (a), Nobuo Funabiki (b), Indrazno Siradjuddin (c) a) Department of Information Technology, State Polytechnic of Malang Jalan Sukarno Hatta no. 9, Malang, 65141, Indonesia *qulis[at]polinema.ac.id b) Department of Electrical and Communication Engineering, Okayama University 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama, 700-8530, Japan c) Department of Electrical Engineering, State Polytechnic of Malang Jalan Sukarno Hatta no. 9, Malang, 65141, Indonesia Abstract Acne Vulgaris is a form of acne that most commonly affects around 85% of adolescents. Most of them need treatment immediately by a dermatologist because it can occur unavoidable scar after severe inflammatory acne. In addition, acne diagnosis by a dermatologist could be difficult and time-consuming, so computer vision technology can be a good approach for the solution using any optical sensors, such as the digital camera or smartphone camera. This study implements two deep learning methods, namely Faster R-CNN and YOLO, to recognize acne objects from images and classify them into some severity levels that can be used by dermatologists for consistently assessing clinical practice trials. The method comparison results show that the Faster R-CNN model achieves better accuracy than YOLO for acne object detection and severity classification. To provide a user interactive system, a web application has been applied to be used by patients or dermatologists. Moreover, the results in Acne Vulgaris severity levels recognition have been tested and confirmed by dermatologist experts. Keywords: Acne Vulgaris, computer vision, Faster R-CNN, YOLO, deep learning Share Link | Plain Format | Corresponding Author (Yan Watequlis Syaifudin)

6	Artificial intelligent and Its Applications	ABS-32
Low-Cost System for Identification of Cataract Maturity using LeNet CNN Radimas Putra Muhammad Davi Labib, Dwangga Rizqia Meidyan Syahputra, Ririn Katherina Maturbongs, Amandarika Widyatamara, Mochamad Bayu Aditama, Elvan Dwi Nur Asyifa Institut Teknologi Nasional Malang, KM.2, Jalan Raya Karanglo, Malang, 65153, Indonesia. Abstract This paper presents the development of a cataract maturity identification system. The system is built using low-cost hardware such as Raspberry Pi 3 model B+ as the main controller and ESP32-CAM to take pictures of the eye area. The software is designed using Python programming language with OpenCV library for image processing and TensorFlow module for Convolutional Neural Network (CNN) implementation. The identification process is built using the CNN algorithm for classification with LeNet network model. The dataset consists of 165 images divided by 99 images for training purposes and 66 images for validation purposes. The results show that the designed algorithm can be embedded in low-cost devices and the identification process can be carried out with an accuracy rate of 95.45%. Keywords: Cataract maturity, identification, Convolutional Neural Network, LeNet Share Link | Plain Format | Corresponding Author (Radimas Putra Muhammad Davi Labib)

7	Artificial intelligent and Its Applications	ABS-84
Technology and Characteristics of Intelligent Tutoring System for Air Traffic Controller Surveillance Training: a Systematic Review Dian Anggraini Purwaningtyas Politeknik Penerbangan Indonesia Curug Abstract . One of the uses of Artificial Intelligence in education is an Intelligent Tutoring System (ITS). ITS supports personalized and adaptive learning. The implementation of an Intelligent Tutoring System for vocational study is still limited. This study aims to review the implementation of the technology and characteristics of the Intelligent Tutoring System in vocational education, especially for Air Traffic Control (ATC) Surveillance Training, considering ATC has a high workload to provide the safety of aircraft operation and needs holistic learning also in a good performance. Studies from 2016 to 2021 were extracted from databases and 33 articles were obtained out of 160 articles using PRISMA Protocol. The result shows mostly the purpose of ITS in ATC Training improve behavior and learning style, and the Artificial Intelligence technology the fuzzy base, and data mining is useful to improve learning performance. This study recommended fuzzy weight for cognitive level and Rule-Based decision-making for better accuracy of feedback to students in ATC Surveillance Training Keywords: Intelligent Tutoring System, Air Traffic Control, Training Share Link | Plain Format | Corresponding Author (Dian Anggraini Purwaningtyas)

8	Artificial intelligent and Its Applications	ABS-99
EFFECTIVE MACHINE LEARNING TECHNIQUES FOR BRAIN PATHOLOGY CLASSIFICATION ON MR IMAGES Ruaa M. Mahmood, Nehad T.A. Ramaha, and Ismail R. Karas Dept. of Computer Engineering, Karabuk University, Demir Celik Campus, 78050 Karabuk/Turkey. Abstract Since a brain tumor is essentially a collection of aberrant tissues, it is crucial to classify tumors of the brain using MRI before beginning therapy. Tumor segmentation and classification from brain MRI scans are well-known to be challenging and important endeavors. It has the potential used in diagnostics, preoperative planning, and postoperative evaluations. Furthermore, it^s crucial to get accurate measurements of the tumor^s location on an MRI of the brain. The development of machine learning models and other technologies will let radiologists detect malignancies without having to cut into patients. Pre-processing, skull stripping, and tumor segmentation are the steps in the process of detecting a brain tumor and measurement (size and form). After a certain period of time, CNN models get overfit because of the large number of training images used to train them. That^s why we now have deep CNN that uses transfer learning. CNN-based Relu architecture and SVM with fused retrieved features via HOG and LPB are used to classify brain MRI tumors (glioma or meningioma). The methods^ efficacy is measured by precision, recall, F-measure, and accuracy. The modified systems showed that the accuracy of SVM with combined LBP with HOG is 97% and modified CNN of 98%. Keywords: Machine Learning, Tumor Segmentation, Classification, Feature Extraction, Measurements, MRI Image. Share Link | Plain Format | Corresponding Author (NEHAD T.A RAMAHA)

9	Big Data and Analytics	ABS-8
Analysis of Yogyakarta Coffee Shop Visitor Reviews To Increase Customer Satisfaction Using Sentiment Analysis Argaditia Mawadati (a*), Windyaning Ustyannie (b), Agus Hindarto Wibowo (a), and Risma Adelina Simanjuntak (a) a) Departement of Industrial Engineering, Faculty of Industrial Technology, Institut Sains & Teknologi AKPRIND Yogyakarta, Indonesia *mawadati[at]akprind.ac.id b) Departement of Computer System Engineering, Faculty of Information Technology and Business, Institut Sains & Teknologi AKPRIND Yogyakarta, Indonesia Abstract Visitor reviews written on Google Reviews can show the quality of a product or business. In fact, it can also indirectly be a promotion that can attract new consumers. There is a lot of information that can be processed from Google Review that is useful for improving business quality and customer satisfaction. One method that can be used to analyze review data is sentiment analysis. This study will analyze the reviews of coffee shop visitors in the Yogyakarta area written on Google Rewies. Visitor reviews analyzed using sentiment analysis to see if visitor reviews tend to be positive or negative. So that coffee shop business voters can see the level of customer satisfaction and find out what things need to be maintained and improved to increase customer satisfaction. The results of the sentiment analysis show that more words are detected as positive than negative. Coffee shop visitors in Yogyakarta showed more positive emotions about their experiences when visiting coffee shops, which means most visitors are satisfied with the services and products offered by coffee shop owners in Yogyakarta. Visitors most often write about good coffee, price, friendly, suitable, spacious parking, hanging out, comfortable, food, service, taste, and nugas. Thus, coffeeshop owners should focus on that things to increase on their customer satisfaction. Keywords: customer review, customer satisfaction, sentiment analysis Share Link | Plain Format | Corresponding Author (Argaditia Mawadati)

10	Big Data and Analytics	ABS-13
Comparison of Z-Score, Min-Max and No Normalization Methods using Support Vector Machine Algorithm to Predict Student^s Timely Graduation Muhammad Sholeh1, b), Erna Kumalasari Nurnawati2,a) Author Affiliations 1,2 Department of Informatics, Faculty of Information Technology and Business Institut Sains & Teknologi AKPRIND Yogyakarta, Indonesia. Author Emails a) Corresponding author: ernakumala[at]akprind.ac.id b)muhash[at]akprind.ac.id Abstract One indicator of the success of the higher education system is the timely graduation of students. Students who take undergraduate programs are declared to graduate on time if students can study for less than or equal to eight semesters. The success of graduation time can be monitored from the beginning of the semester by looking at the passing of courses in each semester. Normalization is done so that the resulting model has maximum accuracy. This study aims to build the best Classification model using Support Vector Machine (SVM) algorithm. That can predict students^ timely graduation by comparing the data normalization process, namely with the Z-Score, Min-Max and without normalization methods. The datasheet is taken from data on student study results in each semester in ten study programs at Institut Sains & Teknologi AKPRIND class 2017 as many as 267 data with 19 attributes. The model was developed using achievement index data from first to sixth semester. The recommended model is selected from the maximum accuracy results. The results showed that the classification model with the SVM algorithm using Z-score normalization produced the highest accuracy with an accuracy value of 83%. That is, the recommended model is a model using Z-Score normalization. Keywords: Support Vector Machine, Classification, normalization methods Share Link | Plain Format | Corresponding Author (Muhammad Sholeh)

11	Big Data and Analytics	ABS-59
Opinion mining On Indonesian Tourism TikTok Video Content using FastText and Multilayer Long Short-Term Memory Dony Ariyus1, a) and Daniel Manongga2, b, Irwan Sembiring3, c) 1 Faculty of Computer Science, Universitas Amikom Yogyakarta, Yogyakarta 55281, Indonesia *dony.a[at]amikom.ac.id 2,3 Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Salatiga 50711, Indonesia b)danny.manongga[at]uksw.ed, c)irwan[at]staff.uksw.edu Abstract Analysis of social media is a topic of current research discussion. The emergence of web 2.0 technology is the primary reason that has transformed social media into a digital platform that facilitates the expression and sharing of opinions on various topics through diverse content. Expressions and opinions that emerge through interactions between social media users have the potential to be investigated and utilized in a variety of contexts, including by the government, in order to comprehend the thoughts of its citizens regarding newly implemented public policies. Currently, the government of the Republic of Indonesia, via the ministry of tourism and creative economy (Kemenparekraf), has established regulations for five super priority tourist destinations: Lake Toba, Labuan Bajo, Borobudur, Mandalika, and Likupang. The policy^s success needs to be analyzed based on opinion mining to determine the number of citizens who recommend the destination. As one of the most popular social media platforms available on the market today, TikTok has the potential to be used to explore opinions regarding selected tourist destinations. This is because many young tourism performers utilize TikTok to express their thoughts and feelings. Opinion Mining on TikTok social media data has its challenges because the use of language is not standard and is mainly done using slang as interactions are carried out daily. The use of language corpus, widely circulated, gives poor results in analyzing public sentiment. To investigate public opinion regarding Tiktok social media data, FastText and single, double, and triple layers of FastText and LSTM were employed in this study. Consequently, the employment of FastText and LSTM with multiple layers delivers good performance and has the potential to be employed in a variety of system innovations to investigate public opinion, particularly on TikTok social media data. Keywords: Social Media Analysis, TikTok, Opinion Mining, FastText, Multilayer LSTM Share Link | Plain Format | Corresponding Author (Dony Ariyus)

12	Civil Engineering	ABS-5
The Phenomenon of Construction Informal Workers in Housing Projects During the Covid-19 Pandemic Maranatha Wijayaningtyas, Ellysa Nursanti, and Dimas Indra Laksmana Institut Teknologi Nasional Malang Abstract The emergence of the Covid-19 epidemic has influenced alterations in the real estate market. Since the epidemic, housing development in Indonesia has been badly impacted, especially labor, which is crucial to the success of housing development. In addition, most workers in housing developments are informal workers who behave differently than formal or permanent workers. This study aimed to examine the phenomena of informal workers in housing developments during the Covid-19 pandemic using qualitative phenomenological approaches. Ten informal worker informants, five project supervisor in-formants, and two housing developer informants were chosen for in-depth interviews based on preset criteria. In housing construction projects, implementing the health protocol and compliance with Occupational Health and Safety rules increased the awareness of informal workers. The fact that in-formal laborers prioritize health and safety during the Covivirus-19 outbreak is encouraging for building developers. Thus, the risk of housing construction projects decreases, and it is hoped that the government^s program to build one million homes will be successful. In addition, the government can create in-incentive-related policies for informal employees who implemented the health protocol during the Covid-19 outbreak. Keywords: Covid-19, Health and Safety, Housing Project, Construction Informal Worker Share Link | Plain Format | Corresponding Author (Maranatha Wijayaningtyas)

13	Civil Engineering	ABS-27
Real-Time Structural Health Monitoring (Shm) Using Strain Gauge Arduino Sensor At Reinfocement Concrete Under Static And Impact Loading Vega Aditama(a*), Sri Murni Dewi(a), Ari Wibowo(a), Ming Narto Wijaya(a) (a) University of Brawijaya, Jl. Veteran, Ketawanggede, Kec. Lowokwaru, Kota Malang, Jawa Timur 65145 Abstract The Strong and safe Building is designed to avoid structural failure from an earthquake or the other causes. Internet of Things (IoT) based real-time wireless sensors were used in BF 350 AA Arduino module to measure the strain of reinforcement and concrete of structural member in the building. The collapse of the structure can be detected and the weakening of the building structure through reinforcement and concrete can be reported using wifi-based strain sensors under static and impact load in non-destructive measurement, used for long periods and can real-time monitorize. Keywords: Structural Health Monitoring- Strain Gauge- Impact Load Share Link | Plain Format | Corresponding Author (VEGA ADITAMA)

14	Civil Engineering	ABS-36
CRACK PATTERNS IN CONCRETE BEAM USING CONTINUOUS SHEAR REINFORCEMENT WITH NUMERICAL METHOD mohammad erfan(a), yosimson P Manaha(a), Hadi Surya W(a), Yandra Bili, managi radar Malang National Institute of Technology Abstract Often the collapse in building construction begins with failure caused by the shear strength of a structural element that is unable to withstand the shearing force caused by the external load acting. Many factors cause this failure, one of which is the installation of stirrup reinforcement which serves to withstand shear forces acting on structural elements, one of which is reinforced concrete beams. For the procedures and requirements regarding stirrup reinforcement, it is regulated in SNI Regulation 2847:2019 Requirements for Structural Concrete for Buildings, the regulation states that there are 2 types of stirrups, including upright stirrups and inclined stirrups. The slanted stirrups described in the SNI are installed one by one, in other words, not continuous or continuous. This of course will have a different value of shear strength in the cross section of the reinforced concrete beam if the inclined stirrups are installed continuously. In this study, a numerical test will be carried out on reinforced concrete beams with 2 simple supports and a P load placed in the middle of the span. The quality of concrete used is f^c 20 Mpa and the quality of plain reinforcement is BJTP 280 with a diameter of 10 longitudinal reinforcement and 6 stirrup reinforcement. This test will be carried out under 2 conditions, namely the upright stirrups concrete beams and continuous inclined stirrups concrete beams and using the Abaqus and Diana FEA applications. Keywords: structural, Concrete, shear, stirrups, numerical Share Link | Plain Format | Corresponding Author (Mohammad Erfan)

15	Civil Engineering	ABS-39
Evaluating Energy Efficiency and Conservation, Water Conservation, Indoor Health and Comfort on Conservation Building Maranatha Wijayaningtyas, Aurelius Andri Wibowo, and Lalu Mulyadi Institut Teknologi Nasional Malang Abstract The Catholic conservation building in Padua, Pasuruan, was inaugurated on 28th July, 1895. However, this conservation building is located in an area that has experienced a decline in environmental quality due to increased pollution and seawater intrusion. Therefore, evaluating the value of efficiency and energy conservation, water conservation, indoor health and comfort in this building is necessary. The purpose of the evaluation is to use the three assessments to measure the value of the feasibility and service of this building based on the Greenship Existing Building version 1.1 assessment. The quantitative method through survey activities to 50 respondents is used to evaluate the value of efficiency and energy conservation, water conservation, indoor health and comfort in this building. The results of the evaluation of aspects of energy efficiency and conservation, water conservation, indoor health and comfort respectively received 23 points (19,66%), 8 points (6,84%), and 12 points (10,25%). The evaluation with the highest value is obtained from energy efficiency and conservation because the value of the optimal performance factor for building energy efficiency reaches the maximum rating. On the other hand, the lowest evaluation occurred in aspects of water conservation, indoor health and comfort. Therefore, the Pasuruan government needs to improve aspects of water conservation, indoor health and comfort in this building. Furthermore, this research is used to make technical recommendations for improving the performance of other conservation building services based on energy efficiency and conservation, water conservation, indoor health and comfort assessment. Keywords: Conservation building- Efficiency and energy conservation- Water conservation- Indoor health and comfort Share Link | Plain Format | Corresponding Author (Maranatha Wijayaningtyas)

16	Civil Engineering	ABS-40
Analysis of Appropriate Site Development on Public Building with Greenship Criteria Green Building Maranatha Wijayaningtyas, Lea Mahdarina, Lila Ayu Ratna Winanda, and Deviany Kartika Institut Teknologi Nasional Malang Abstract The newest public building in Malang is designed to support creative industry development. This new public building, which will be built on the Municipal Waterworks Company of Malang area, requires land use analysis to determine the accuracy of land selection and the impact of site development on the area. Analysis of appropriate site development on this building in Malang will be using the assessment of Greenship New Building version 1.2. The quantitative method, through field observations and interviews with five building experts, is used to analyze the appropriate site development of this building. The analysis of the criteria for appropriate site development in this building scored 13 points. The dominant factors that support the criteria for the appropriate site development in this building are basic green area, site selection, community accessibility, public transportation, bicycle facility, and stormwater management. The minimum values in this building are the value of site landscaping and microclimate factors. The government of Malang City needs to consider the provision of a landscape area in the form of vegetation that is free from garden building with an amount of at least 40% of the total land area and designing a landscape form of vegetation in the main circulation of the pedestrian to provide thermal protection from solar radiation and protection from strong winds to optimize the assessment of appropriate site development in this building. Through this research, analysis of appropriate site development using the Greenship New Building version 1.2 assessment on this building can be used as a reference to assess the feasibility of selecting land use accuracy and efforts to optimize land in other public buildings. Keywords: Public building, Appropriate site development, Greenship new building, Green building Share Link | Plain Format | Corresponding Author (Maranatha Wijayaningtyas)

17	Civil Engineering	ABS-71
Transforming Blackwater Into Clean Water - Is It Possible? Lies Kurniawati Wulandari National Institute of Technology Abstract The sustainability of the environment is constantly facing the threat from domestic pollutants, especially blackwater. Throughout the time, the management of waste removal is getting more advanced but the amount of pollution contaminating the river is also getting more concerning. As one of the worst types of domestic waste, blackwater requires serious and thorough treatment so that it does not harm the environment, and of course human health. The common method of blackwater treatment in Indonesia is by containing the waste inside septic tanks. Studies reported that blackwater is manageable to be transformed into raw water for agricultural needs, or at least, qualified to be discharged into the river without any potential to disrupt the ecosystem. However, following the increasing volume of blackwater production, that idea needs to be developed further to broaden the reusability of the output of blackwater treatment. This study shares a replicable method to transform blackwater into clean water- a simple method performed by utilizing local resources that work effectively and efficiently. A green technology -the combination of physical approach and phytoremediation- can produce the output (clean water) that is not only safe to be discharged into the river, but also can be used for freshwater aquaculture and water the plants with critical requirements. Keywords: Blackwater, clean water, green technology, pollution, water treatment Share Link | Plain Format | Corresponding Author (Lies Kurniawati Wulandari)

18	Civil Engineering	ABS-73
Geometric Quality of Orthophoto from Aerial Images Obtained by UAV^s Consumer Grade Camera: Lesson learnt Silvester Sari Sai* (1), Martinus Edwin Tjahjadi (2), Masrurotul Ajiza (3), Hery Purwanto (4) 1,2,3,4 Department of Geodesy, National Institute of technology (ITN Malang), Indonesia Malang Jl.Bendungan Sigura-gura No.2 Malang 65145 Abstract UAVs (Unmanned Aerial Vehicles) gain wider acceptance for cadaster mapping related activities in Indonesia. This flying platform is usually equipped with consumer grades digital cameras. Such off-the shelf cameras have long been known to suffer unstable lens elements and electronics. Regardless of camera types being mounted on the UAV board, these instabilities are major impediment to attain a high accuracy of orthophoto generated from aerial images obtained by the UAV camera. Geometrical defects of those images would afflict a geometrical quality of the orthophoto which is produced by stitching and rectifying the images. This paper investigates the quality of the generated orthophoto assembled by those defected images. The quality is assessed according to the American Society of Photogrammetry and Remote Sensing (ASPRS) as well as regulation of State Minister of Agrarian standards. Flight missions were carried out to produce a 2.7cm ground sampling distance (GSD) of images. The geometric accuracies are analyzed through a provision of the independent check points (ICPs) and areas discrepancies between the ones measured using geodetic type of GPS instruments. Their RMSE figures reveal that the orthophoto map obtained by the UAV is suitable only up to a 1:500 of a map scale. Keywords: Orthophoto, Camera, Distortion, Accuracy, Mapping, Cadaster. Share Link | Plain Format | Corresponding Author (Silvester Sari Sai Sai)

19	Civil Engineering	ABS-74
Geometric Quality of UAV^s Consumer Grade Camera: Lessons Learnt Silvester Sari Sai* (1), Martinus Edwin Tjahjadi (2), Alifah Norani (3), Ketut Tomy Suhari (4) (1,2,3,4) Department of Geodetical Engineering, National Institute of Technology, Malang 65152, Indonesia Abstract UAVs (Unmanned Aerial Vehicles) gain wider acceptance nowadays for mapping related activities and inspections of engineering structures. This flying platform is usually equipped with consumer grades digital cameras. Such off-the shelf cameras have long been known to suffer unstable lens elements and electronics. Regardless of camera types being mounted on the UAV board, these instabilities are major impediment to achieve a high accuracy measurement in mapping project. For these cameras, a position of the lens and its elements are located and aligned arbitrarily in a predefined location relative to the CCD (Charged Coupled Device) sensor plane. In facts, deviations of the projected lens axis onto the CCD plane from the center of the sensor can be considerable amount of the extent of the sensor. These departures can be exacerbated by the UAV^s engine vibrations. Therefore, this paper evaluates geometric perturbations of the camera^s lens distortion model during the UAV^s flight missions by assessing bundle adjustment based camera calibration by varying physical calibration parameters. Ten parameters are categorized based onto four groups^ source of errors, namely radial distortion, tangential and affinity distortion, as well as principal point and principal distance stability. Analyses is performed in three sequences: prior to, during, and post flight missions. It can be revealed that the camera focal length and location of the lens axis onto the CCD plane severely perturbed during the flights and peaked to about 1mm of discrepancies. In contrast, lens distortions models are relatively stable during the mission. Keywords: Unmanned Aerial Vehicle, Camera, Distortion, Calibration, Mapping, 3D Modelling. Share Link | Plain Format | Corresponding Author (Silvester Sari Sai Sai)

20	Civil Engineering	ABS-75
Scheduling Analysis with Monte Carlo Simulation and Statistic Method on a Building Construction Project Syadza Nabila Yusna (a*), Agus Suharyanto (a), Indradi Wijatmiko (a) a) Faculty of Engineering, University of Brawijaya, Jalan Veteran, Malang 65145, Indonesia *syadzanabila[at]student.ub.ac.id Abstract In the construction of an office building in Indonesia, a delay occurred in the first-floor concrete work, the project was planned to be completed in 161 days but in reality, it took 168 days to complete. This study raises the issues by doing a scheduling analysis by comparing the Monte Carlo Simulation and the Statistic method. Comparison between these methods is carried out to determine the project duration scheduling probability level from each method. To support this study, the required data are the project Time Schedule and the interview data from respondents who are directly related to the office building construction project. Monte Carlo Simulation analysis shows that to get a 100% probability level the duration can only be accelerated by two days, from 168 days to 166 days, while the Statistic method analysis shows that to get a 99,99% probability level the duration can only be accelerated by 4,2 days, from 168 days to 163,8 days. From the results above, it can be concluded that the Monte Carlo Simulation has a more accurate calculation than the Statistic Method because the result from the Monte Carlo Simulation is 166 days with a 100% probability level. It is close to the project realization duration which is 168 days. Keywords: Schedule- Monte Carlo Simulation- Project Evaluation Review Method- Statistic Method- Probability Share Link | Plain Format | Corresponding Author (Syadza Nabila Yusna)

21	Civil Engineering	ABS-78
Analysis of Scheduling Acceleration at Hospital Construction Building using the Precedence Diagram Method (PDM) Combined with Fast Track and the Precedence Diagram Method (PDM) Combined with Crashing Method Nova Charisma Vindiantri Verocha (a*), Wisnumurti (a), Kartika Puspa Negara (a) a) Faculty of Engineering, University of Brawijaya, Malang Jalan Veteran, Malang 65145, Indonesia *novacharisma12[at]student.ub.ac.id Abstract In general, the completion of a project must be in accordance with a binding contract agreement, but during its implementation, unexpected obstacles and obstacles can occur, resulting in delays. Project delays affect weekly performance results, and project final results and affect the performance appraisal of project implementers. Delays can be seen through weekly performance progress according to schedule. Delays can be prevented by speeding up the existing schedule. This study raises the issue to perform an acceleration analysis on the schedule using the Precedent Diagram (PDM) method which is combined using the fast track method and then compares it with the Precedent Diagram (PDM) method combined with crashing and then determines which method is used in accordance with this research. . In this study the case study experienced a delay in the 18th week where the progress of the plan of 16.60% was only realized by 11.21% resulting in a deviation of 5.4%. This delay occurred due to delays in the construction of Tower Crane, delays in the arrival of materials and in areas experiencing a pandemic which, under restrictions on activities carried out by the government. This delay occurred in the duration of project completion where the planned duration of 366 days was delayed to 390 days. This greatly affects the performance results of subsequent activities. The results of the analysis obtained using the precedent diagram method combined with the Fast-Track method are able to overcome delays by returning the initial scheduling late Return according to the scheduling plan, which is 366 days, without any additional costs and the results of the analysis using the PDM method combined with the crashing method can make the duration faster than the plan duration, which is 359 days or 7 working days faster and the additional cost is 1.02%. Keywords: Project Delay- Scheduling Acceleration- Presedence Diagram Method- Fast Track Method- Crashing Method Share Link | Plain Format | Corresponding Author (Nova Charisma Vindiantri Verocha)

22	Civil Engineering	ABS-83
Barriers to Knowledge Sharing: A Case Study of Construction Companies in Surabaya Andhika Agraprana (a*), Kartika Puspa Negara (a), Yatnanta Padma Devia (a) a) Department of Civil Engineering, Faculty of Engineering, Brawijaya University, Malang 65145, East Java, Indonesia *andhikaagraprana[at]gmail.com Abstract Knowledge-sharing (KS) barriers prevent organizations from capitalizing on their knowledge assets and skills. Thus, identifying barriers in the knowledge-sharing process is a potential research area to study. This research was carried out to investigate the main barriers to knowledge-sharing and identify the commonly used practice of the knowledge-sharing process in the construction company in Surabaya. Data collection was carried out by distributing questionnaires to the top management of large contractors (Qualification B) in Surabaya. Fifty-four questionnaires were collected and considered eligible for analysis. The Relative Importance Index (RII) method is used in this research. The results showed that the practices commonly used for knowledge-sharing are internet/social media, e-mail, and face-to-face interaction. The result also shows that the top barrier to knowledge sharing is the lack of top management support and participation. Meanwhile the top barrier from the personal side is difficulties in generalizing knowledge from one project to another project. This study help to understand the main barriers of the knowledge-sharing process in construction companies and provides some practical guidance for companies to deal with these barriers. Moreover, this study helps top management to provide strategies to alleviate the barriers of knowledge-sharing within their organization in order to achieve the successful of construction project. Keywords: Knowledge Sharing, Barriers, Practice, Construction Companies Share Link | Plain Format | Corresponding Author (Andhika Agraprana)

23	Communication, Networks, and Information Theory	ABS-12
Efficient Content Sharing Using Multi-Cloud Storage with Selective RAID-like Chunk Retention Control Hyuga Nakazawa, Kengo Koyama, Shinji Sugawara Department of Information and Communication Systems Engineering, Faculty of Engineering, Chiba Institute of Technology Abstract Recently, not a few cloud-based content sharing methods to avoid a total system failure, data breach, or vendor-lock-in has been proposed by bundling storage services of multiple cloud vendors using a content broker system. We have proposed an efficient multi-cloud based content sharing method that added an effect to shorten the shared content^s upload and download times by dividing each content item to be deposited at cloud vendors into chunks and redundantly distributing them into each cloud storage just like RAID systems. In this paper, we newly propose a method to reduce the management cost, and at the same time, suppress the damage at the time of a system failure by adding the function of selecting the RAID level per each content item depending on its usefulness. In addition, the effectiveness of the proposed method is evaluated by using computer simulations. Keywords: Multi-cloud storage- RAID-like control- Content sharing Share Link | Plain Format | Corresponding Author (Shinji Sugawara)

24	Communication, Networks, and Information Theory	ABS-81
Preliminary Assessment on the Performance of Long Distance Wireless Data Transmission for Disaster Early Warning System Michael Ardita (1), Alfarid Hendro Yuwono* (1), Gatot Kusrahardjo (2), Radimas P. M. D. Labib (1), Kartiko Ardi Widodo (1) (1) Department of Electrical Engineering, National Institute of Technology, Malang 65152, Indonesia (2) Department of Electrical Engineering, Institute Technology of Sepuluh Nopember (ITS), Surabaya 60111, Indonesia *) allfaridhendroyuwono[at]lecturer.itn.ac.id Abstract The coverage of network infrastructure in the form of transmitters in Indonesia is not evenly distributed and has not yet reached remote areas. This creates difficulties in the implementation of Early Warning System (EWS) since data transmission between sensors and control center is required. A proper communication system is also needed to broadcast news to communities in the disaster prone regions. A practical solution to this is to use WiFI, which can also be utilized as a repeater to an internet access network. This study analyses the performance of the remote network that will be employed to transmit data from sensors to control centers and, finally, to the affected communities. Since WiFi uses CSMA/CA (Carrier Sense Multiple Access/Collision Avoidance), its ability to transfer data will decrease when accessed by multiple users. In this study, the process of sending data from the client to server is performed at a distance of 30 km and is carried out every second for 24 hours. Data acquisition is done when there is a decrease in work units due to an increase in the number of users. After performing this long distance data transmissions, we can conclude that there are indeed busy hours in the afternoons and ^low net usage^ hours during the early mornings. Keywords: Long range data transmission Share Link | Plain Format | Corresponding Author (Alfarid hendro Yuwono)

25	Computer engineering, vision and application	ABS-42
Interactive Learning Media to Introduce Working Principle of Hybrid Machines Using Digital Platforms 1) Citra Dewi Megawati, 2) Bima Romadhon Parada Dian Palevi 1) Creative and Digital Industry Department, Universitas Brawijaya Malang 2) Electrical Engineering, Institut Teknologi Nasional Malang Abstract Since the Covid-19 pandemic, the trend of education, which initially used face-to-face lectures in class, has now shifted to application-based and online lectures. This shift in trend has led to a shift in the educational ecosystem, which was originally based on face-to-face lectures in class, to network-based lectures in a virtual model. In observations made until after the pandemic ended, the use of digital platforms in teaching and learning activities was still used even though in a combined face-to-face and virtual mode. In the technology engineering-based engineering lecture model, the use of digital platforms is often used, for example the presentation of power point presentation materials and similar applications. Basically, students are able to absorb lecture material well, as long as they don^t go through boring lectures. Technical lectures in classrooms and online classes based on presentation platforms are one type of boring lecture. However, this is one of the root causes, some teachers are needed to deliver face-to-face lectures in class and deliver material available in books and lectures. Indirectly, the material presented is less attractive to students and is ignored. In this study, researchers want to introduce interactive learning media in the form of a digital platform that contains a hybrid engine, working principles and components in it and provide examples of its application to modern vehicle technology. This interactive learning media is used to support material in lectures, so that when attending lectures in class and practicum material, these students can follow them well and can optimize learning outcomes. Interactive learning media will be made as attractive as possible, informative, easy to reach because it is accompanied by pictures and videos as well as low cost advantages. This study uses research and development methods, but in this study researchers started the process at the development stage because the focus was on the final res Keywords: Interactive Learning Media, Hybrid Machines, Digital Platforms, Learning Media, Interactive Media Share Link | Plain Format | Corresponding Author (Bima Romadhon Parada Dian Palevi)

26	Computer engineering, vision and application	ABS-49
The use of smart contracts for third-party comparison web logistics Nataniel Albert Angstein(a*), Joniarto Parung(b) a, b)Department of Industrial Engineering, University of Surabaya, Raya Kalirungkut, Surabaya 60293, Indonesia Abstract [The use of smart contracts for third-party comparison web logistics.] Along with the development of global economic services, the subcontracting of logistics activities to 3PL parties is increasing (Bask, 2001). People^s needs are very high for various forms of delivery of goods, from light to heavy or small or large volumes, so the types of goods delivery services offered by these services are increasingly varied. However, now many package delivery services have emerged that compete with each other in providing the best services with close proximity. This is what causes consumers to be more selective in choosing a delivery service that is superior and has a minimum cost in accordance with the goods sent and their destination. The solution is to use a logistics recommendation system and smart contracts that allow consumers to easily determine and order logistics services according to their needs. Therefore, in this study the author aims to implement smart contracts into a logistics service comparison website so that consumers can choose and order logistics services more easily. Keywords: smart contract, 3pl, comparison web Share Link | Plain Format | Corresponding Author (Nataniel Albert Angstein)

27	Computer engineering, vision and application	ABS-54
Implementation of A Low-Cost Embedded Multi-Camera System for Leaf Plant Monitoring in the Greenhouse Aryuanto Soetedjo 1, Evy Hendriarianti 2, Muhammad Suriansyah 1, M Rifki Abdilah 1, M Syahriel M 1, and Mohamad Khafil HM 1 1) Department. of Electrical Engineering, National Institute of Technology (ITN) Malang, Jalan Raya Karanglo KM 2, Malang, Indonesia 2) Department. of Environmental Engineering, National Institute of Technology (ITN) Malang, Jalan Bendungan Sigura-gura No. 2, Malang, Indonesia Abstract The leaf is an essential part of a plant that can indicate plant growth and phenotyping. Real-time leaf plant monitoring provides significant benefits in this field. This paper presents an implementation of the multi-camera system for leaf monitoring in a greenhouse. A low-cost multi-camera system consisting of the visible (RGB) camera, infrared camera (NoIR: No infrared filer), and thermal camera are employed as imaging devices. Each camera is interfaced with an embedded Raspberry Pi module, which then processes and sends the image data to the Google Drive cloud. The cameras and Raspberry Pi modules are arranged and installed on a portable platform that can easily be placed in a greenhouse. The camera can be positioned accordingly to get the optimal field of view. The multi-camera system has been tested on the greenhouse for monitoring the Ramie plant continuously for twenty-one days, where the data are sent to the cloud every five minutes. The experiment showed that the image data are sent to the cloud storage with a success rate of 99.7%, 95%, and 99.8% for the RGB, NoIR, and thermal cameras, respectively. The results showed that the developed multi-camera system is reliable for leaf plant monitoring in the greenhouse.. Keywords: Multi-camera,leaf monitoring, Raspberry Pi, IoT Share Link | Plain Format | Corresponding Author (Aryuanto Soetedjo)

28	Computer engineering, vision and application	ABS-55
A Study of Blank Element Selection Rules for Element Fill-in-blank Problem in JavaScript-Based Web-client Programming Huiyu Qi, Nobuo Funabiki, Khaing Hsu Wai, May Zin Htun, // Flasma Veronicha Hendryanna, Yan Watequlis Syaifudin Department of Information and Communication Systems, Okayama University, Okayama, Japan Department of Information Technology, State Polytechnic of Malang, Malang, Indonesia Abstract Nowadays, web applications take central roles in computer systems. Then, web-client programming using HTML, CSS, and JavaScript has become important to introduce logics and dynamics for interactive human interfaces on web browsers. Previously, we have presented the element fill-in-blank problem (EFP) for its self-study by novice students, and generated 47 instances on basic and applicative grammar topics. An EFP instance consists of a source code where some elements of tags, functions, or messages may be blanked, and the corresponding web page screenshots, and requests to fill in the blanks by referring to the screenshots. The correctness of any answer is marked through string matching. However, these blanks were manually selected by considering the importance of elements and the uniqueness of correct answers. Thus, the quality of a generated EFP instance strongly depends on skills and preferences of the builder, and the uniqueness may not be satisfied. In this paper, we study blank element selection rules for generating a new EFP instance from a source code in web-client programming. For this purpose, we analyze the blanks in the EFP instances in previous studies. For evaluations, we confirmed that one rule can be applied to each blank in them and a new EFP instance can be generated by using the rules. In the next study, we will implement the automatic EFP generator based on the rules. Keywords: web-client programming, JavaScript, HTML, CSS, element fill-in-blank, blank element selection, rule Share Link | Plain Format | Corresponding Author (QI HUIYU)

29	Computer engineering, vision and application	ABS-57
Educational IoT Board Design And Analysis For Elementary School Students Rudy Ariyanto, Erfan Rohadi, Imam Fahrur Rozi, Vipkas Al Hadid Firdaus, Noprianto, Rokhimatul Wakhidah, Rakhmat Arianto, Annisa Puspa Kirana, Sugeng Prastiyo State Polytechnic of Malang Abstract In this research, the design and analysis of the IoT board education for elementary school students have been done as a supporting tool for learning Programming Logic. The Programming Logic Learning curriculum has been implemented in elementary schools to develop students^ critical thinking. In this study, the researchers have done a needs analysis for developing an IoT learning product suitable for elementary school-level students. The waterfall method was applied through the following phases: system analysis and requirements, design, development, testing, and implementation. In the performance system test, a trial was done for elementary school students and a User Acceptance Test for the Programming Logic subjects. The results of the Black Box Testing showed that all features could run well. Trials of several elementary school students showed that 80% of students were able to use it well and were interested in the IoT board education and UAT testing of The Guardian Teacher showed 100% suitability to the needs. In conclusion, the IoT Board Education System can be implemented in Elementary Schools to achieve Programming Logic purposes. Keywords: IoT, education, Internet of Thing Share Link | Plain Format | Corresponding Author (RUDY ARIYANTO)

30	Computer engineering, vision and application	ABS-67
Blockchain Technology in Wood Raw Material Supply Chain Management - A Bibliometric Analysis and Review Velicia Oktaviani Susanto and Joniarto Parung Universitas Surabaya (UBAYA) Abstract Supply chains in today^s global era generally have complex entities consisting of multi-echelon, dynamic, long chains and geographically separated entities. Globalization in supply chains is becoming increasingly complex when dealing with diverse regulatory policies because supply chain entities are located in different countries, accompanied by varying cultural behavior and human consumption. Complexity in supply chain networks often results in inefficient transactions leading to increased risk and distrust. These conditions lead to a need to share information that is more transparent, traceable and verified. The use of blockchain technology as a tangible form of digital technology advancement can be utilized to effectively store traces of information and simplify the entire process of business transactions. This technology is appropriate for processing wood distributor companies that have many suppliers and many customers, both retailers and individuals who often demand clarity on the origin of the wood being sold. Clarity on the origin of timber is important to avoid lawsuits given the prevalence of timber theft, illegal logging and destruction of protected forests. Blockchain technology which has a public access system can be applied to transparently track the information on the origin of wood in real-time between the parties concerned. With blockchain technology, companies can carry out transactions with shorter processing times and access information in a faster time because they are integrated with each other. This paper aims to propose a conceptual framework that defines the capabilities of blockchain technology that allows collaboration between various parties concerned such as aligning all consumer demand with supply of goods from suppliers in real-time in order to improve supply chain management performance of companies engaged in the commercial wood raw material industry. The selection of articles is done using Harzing Publish or Perish 8 based on the Google Scholar database by determining the appropriate keywords, then visualized using the VOS Viewer application. The literature review study will be carried out systematically and objectively based on the analysis of literature data reviewed using the bibliometric literature review analysis method, resulting in 12 articles which are the main focus of the study in this study. Keywords: Blockchain technology, Supply chain management, Wood distributor companies Share Link | Plain Format | Corresponding Author (Velicia Oktaviani Susanto)

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