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61	Mathematics and Its Applications	ABS-65
Optimizing Small and Medium Enterprises (SMEs) Dimsum Indralaya Profit Using Linear Programming Method: A Case Study of Simplex Method Implementation Fridha Aprisa Rahayu (a*), Sri Oktavia (b), Venty (c) Undergraduate Program in Mathematics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Jalan Raya Palembang - Prabumulih No.KM. 32, Indralaya Indah, Kec. Indralaya, Kabupaten Ogan Ilir, Sumatera Selatan 30862, Indonesia Abstract This research focuses on profit optimization for Micro, Small, and Medium Enterprises (SMEs) in the context of Dimsum Indralaya, located in South Sumatra, Indonesia. The study explores the application of Linear Programming, specifically the Simplex method, to improve the production of dimsum, a popular food product. Dimsum Indralaya grapples with challenges related to raw material selection and production decisions, and this research aims to address these issues. Through the utilization of the Simplex method, the research identifies the optimal production quantities for two key dimsum varieties: chicken dimsum and shrimp dimsum. The results indicate that the ideal production quantity for chicken dimsum is 36 portions, while for shrimp dimsum, it is 54 portions. This optimized approach leads to a significant increase in profits, with the maximum profit reaching Rp 1,530,000, as opposed to the previous condition of Rp 1,380,000. As a result, the expected net profit from this enhanced production process ranges from Rp 3,500,000 to Rp 5,000,000 on a monthly basis. This study offers valuable insights into how SMEs like Dimsum Indralaya can effectively employ Linear Programming methods to enhance their operational efficiency and achieve maximum profitability. By optimizing production and resource allocation, SMEs can adapt to the dynamic nature of competitive markets and position themselves to capitalize on future opportunities.In conclusion, this research demonstrates the practical application of Linear Programming, specifically the Simplex method, as a powerful tool for profit optimization within the SME sector. Keywords: SMEs (Small and Medium Enterprises)- Dimsum Indralaya- Linear Programming- Simplex Method- Profit Optimization. Share Link | Plain Format | Corresponding Author (Fridha Aprisa Rahayu)

62	Mathematics and Its Applications	ABS-66
Optimizing MSMEs in the furniture industry using the simplex method at the Sejahtera furniture store Palembang Khairunnisa (1), Lili Sanjaya(2), Vidia Andien Angelica(3), Fitri Maya Puspita(4), Sisca Octarina(5) Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya.Jl Raya Palembang - Prabumulih KM 32, Sumatera Selatan, Indonesia Abstract The furniture industry is one sector that is still widely used in the current era (Marsella et al., 2021). Production planning is used to obtain results that can meet consumer demand by minimizing resources and still maximizing production results (Tae et al., 2023). The aim of production planning for each industry is of course to obtain maximum profit, including the Palembang Sejahtera Furniture Store. Palembang Sejahtera Furniture Store is an industry that produces various kinds of products such as tables, chairs and cupboards. To solve this problem, the appropriate method was determined, namely the simplex method. The simplex method is one of the procedures used to solve linear programming problems (Marsella et al., 2021). This research was conducted at the Palembang Sejahtera Furniture Store located at Jln. Perumnas Market Broadcast No. 96 Sako. The data collection method used in this research is to obtain the information needed to prepare the report, so the author uses several research methods, namely observation, interviews, documentation and literature study. The data processing method used in this research is the method used in this research, namely using Linear Programming analysis using the simplex method. The results of this research showed that the maximum profit from the production of cupboards was 3 units, while for the production of chairs and tables it was 0, meaning that no production needed to be produced, to achieve an optimal profit of IDR 2.490.000,-. Keywords: Optimization- Linear program- Furniture production- Simple method. Share Link | Plain Format | Corresponding Author (Vidia Andien Angelica)

63	Mathematics and Its Applications	ABS-67
Optimizing MSME in the furniture industry using the simplex method at the Sejahtera furniture store Palembang Khairunnisa (1), Lili Sanjaya(2), Vidia Andien Angelica(3), Fitri Maya Puspita(4), Sisca Octarina(5) Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya.Jl Raya Palembang - Prabumulih KM 32, Sumatera Selatan, Indonesia Abstract The furniture industry is one sector that is still widely used in the current era (Marsella et al., 2021). Production planning is used to obtain results that can meet consumer demand by minimizing resources and still maximizing production results (Tae et al., 2023). The aim of production planning for each industry is of course to obtain maximum profit, including the Palembang Sejahtera Furniture Store. Palembang Sejahtera Furniture Store is an industry that produces various kinds of products such as tables, chairs and cupboards. To solve this problem, the appropriate method was determined, namely the simplex method. The simplex method is one of the procedures used to solve linear programming problems (Marsella et al., 2021). This research was conducted at the Palembang Sejahtera Furniture Store located at Jln. Perumnas Market Broadcast No. 96 Sako. The data collection method used in this research is to obtain the information needed to prepare the report, so the author uses several research methods, namely observation, interviews, documentation and literature study. The data processing method used in this research is the method used in this research, namely using Linear Programming analysis using the simplex method. The results of this research showed that the maximum profit from the production of cupboards was 3 units, while for the production of chairs and tables it was 0, meaning that no production needed to be produced, to achieve an optimal profit of IDR 2.490.000,-. Keywords: Optimization- Linear program- Furniture production- Simple method. Share Link | Plain Format | Corresponding Author (Vidia Andien Angelica)

64	Mathematics and Its Applications	ABS-68
THE USE OF THE RANDOM FOREST ALGORITHM TO ANALYZE THE PREDICTION OF FOREST FIRES IN INDONESIA Anggelina Maria Putri Sihotang- Dhea Adelina Lumban Raja- Romasi Sihol Marito Siringo Ringo- Fitri Maya Puspita- Sisca Octarina Program Studi Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya Jalan Palembang-Prabumulih, Indralaya, Kabupaten Ogan Ilir (30662) Abstract Forest fires are one of the most devastating disasters worldwide, including in Indonesia. According to the Ministry of Environment and Forestry report, the total area affected by forest and land fires from 2015 to 2019 was 1.6 million hectares. Factors influencing forest fires include both natural and human-induced elements. Natural factors such as temperature, humidity, drought, El Nino, volcanic eruptions, and lightning play a role. Researchers believe that human activities in the forests, such as deforestation, timber exploitation, hunting, and slash-and-burn agriculture, contribute causally to forest fires, especially in large remaining forest areas. Despite some research on forest fire prevention, including the use of Data Mining and Machine Learning techniques to predict when forest fires might occur based on weather conditions and past fire reports, these efforts are not yet fully implemented. Therefore, in this study, we are developing a concept for a forest fire prediction system that can serve as a reference for policy-making when the government undertakes preventive actions. We are modeling annual forest fire data in Indonesia using the Random Forest Algorithm model, aiming to assist the government in preventing forest fires in accordance with legal guidelines. The analysis is also available at the Weather Modification Technology Center (BBTMC), aiding decisions on when weather modification may be necessary. Keywords: Forest Fires- Data Mining- Random Forest Share Link | Plain Format | Corresponding Author (Anggelina Maria Putri Sihotang)

65	Mathematics and Its Applications	ABS-69
APPLICATION OF PATTERN GENERATION ALGORITHM IN SOLVING THE CUTTING STOCK PROBLEM MODEL IN MINIMIZING THE REMAINING CUTTING OF IRON RAW MATERIALS Inneke Cantika Angelin Dwita, Fitri Maya Puspita, Sisca Octarina Faculty of Mathematics and Natural Sciences, Sriwijaya University Abstract Cutting Stock Problem (CSP) is one of the optimization problems that often occurs in the manufacturing or production industry that involves cutting materials such as iron, wood, glass, pipes, or fabrics. This problem is concerned with cutting raw materials into smaller pieces using the available raw materials. The goal of CSP is to minimize the waste or scrap generated in the cutting process. Solving CSP can provide many benefits to the company. Optimizing the use of materials allows companies to reduce waste, lower production costs, and enhance supply chain efficiency. In addition, CSP also contributes to environmental sustainability by reducing the amount of waste generated. This research discusses how to solve the PG algorithm for one-dimensional CSP iron material cutting. The resulting optimal cutting patterns result in the reduction of unused material scraps. Keywords: Cutting Stock Problem (CSP), Pattern Generation, stock Share Link | Plain Format | Corresponding Author (Inneke Cantika Angelin Dwita)

66	Mathematics and Its Applications	ABS-70
APPLICATION OF MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) METHOD AS DECISION SUPPORT FOR TRAINING OF TRAINERS (TOT) ELECTION WITNESSES (Case Study: PDI-PERJUANGAN SOUTH SUMATERA) Imam Pebryanto Pangestu, Sisca Octarina, Fitri Maya Puspita Faculty of Mathematics and Natural Sciences, Srwiwijaya University Abstract Decision Support System (DSS) is a system that is useful in assisting decision making in unstructured and semi-structured situations. There are various kinds of DSS methods, in this case the MOORA method will be applied in decision making for PDI-Perjuang Witness Training of Trainers in South Sumatra Province. In the process of selecting participants for the Witness Training of Trainers carried out by the PDI-Perjuangan of South Sumatra Province, only manually accumulating scores for criteria. In this research, the MOORA method is applied to determine which participants will qualify for the selection of the PDI-Perjuangan Witness Trainer Training of South Sumatra. By weighting the criteria, calculating the normalization matrix, multiplying the weight of the criteria by the normalization matrix, and sorting the results from highest to lowest. Keywords: Decision Support System, MOORA, Training of Trainers. Share Link | Plain Format | Corresponding Author (Imam Pebryanto Pangestu)

67	Mathematics and Its Applications	ABS-71
COMPARATIVE STUDY OF COVERING BASED AND MEDIAN BASED MODELS OF PROBLEM DETERMINING THE LOCATION OF TEMPORARY WASTE DISPOSAL PLACES IN PALEMBANG CITY Divasanda Armalia, Sisca Octarina, Fitri Maya Puspita Sriwijaya University Abstract The rapid development of urban areas in Indonesia is in line with the increase in population and is proportional to the waste produced. This problem is not accompanied by the provision of comparable facilities and infrastructure by the government, resulting in suboptimal services and a decline in environmental quality, especially in the problem of waste transportation. One solution to the waste problem is the provision of Temporary Storage Places (TPS). Optimizing location placement is one part of optimization. Location determination problems are included in the SCP classification. The SCP model consists of the Covering Based Problem (CBP) and Median Based Problem (MBP) models. The Covering Based Problem model is interconnected from the Set Covering Location Problem (SCLP), Maximal Covering Location Problem (MCLP), and p-Center Location Problem and Median Based Problem model groups which have a p-Median Problem solution model. This research was conducted in Alang - Alang Lebar District, Palembang City. The research results obtained are a comparison of the optimal locations of the CBP and MBP models. Keywords: Covering Based Problem, Median Based Problem, SCLP, MCLP, p-Center Location Problem, p-Median Problem Share Link | Plain Format | Corresponding Author (Divasanda Armalia)

68	Mathematics and Its Applications	ABS-72
OPTIMALISASI HASIL PRODUKSI MENGGUNAKAN METODE KUHN-TUCKER (STUDI KASUS: TOKO BAJU MITRA PASAR 16 ILIR PALEMBANG) Bagas, Mauladhy Durga Pratama Nesya, Raymond Sayoga Universitas Sriwijaya Abstract Kuhn-Tucker Method is a technique used to find the vertex in the constraint function, regardless of whether it is linear or nonlinear. The purpose of this study is to understand the solving process using the Kuhn-Tucker Method, which is similar to the Lagrange Method, where we calculate the values and iscalculate the value. The process of finding the value of involves matrix multiplication. The results of the research using the Kuhn-Tucker Method revealed that the production quantity of Madrasah Aliyah girls^ school clothes is 20 pieces, Madrasah Aliyah boys^ school clothes is 25 pieces, Madrasah Ibtidaiyah girls^ school clothes is 20 pieces, and Madrasah Ibtidaiyah boys^ school clothes is 25 pieces, with the profit of Madrasah Aliyah boys^ school clothes is 25 pieces. school is 25 pieces, with the profit earned amounting to Rp 6.500.000. Keywords: Kuhn-Tucker Method, Matrix Multiplication, Lagrange Method Share Link | Plain Format | Corresponding Author (Raymond Sayoga)

69	Mathematics and Its Applications	ABS-77
Analysis of interpolation method calculations on poverty data in East Nusa Tenggara &#12310-Vidi Ayu Puspita Sari&#12311-^1, &#12310-Fitri Maya Puspita&#12311-^2, &#12310-Sisca Octarina&#12311-^3 Study Program of Mathematics, Faculty of Mathematics and Natural Sciences, Sriwijaya University Abstract The problem of poverty is one of the central fundamental problems attention in any country. Almost every year there is an increase in the poor population Based on data from the Central Statistics Agency (BPS), data on the poor population by province placing NTT province in the 3rd poorest ranking by population The poor in 2016 were around 1,149,920 people or a decrease of 0.914% from 2015. Population poor can be structured based on time series dataanalyzed using prediction methods. Prediction is the process of estimating something that will happen based on existing history. A technique for obtaining a function that passes through all points from a discrete data set or in other words estimation or estimation techniques, the method is an interpolation method. Interpolation techniques are used to analyze poverty data are linear interpolation, quadratic interpolation, and linear interpolation. Keywords: Keywords: Interpolation Method, Linear, Quadratic, Newtonian, Poverty of East Nusa Tenggara Share Link | Plain Format | Corresponding Author (Vidi Ayu Puspita Sari)

70	Mathematics and Its Applications	ABS-80
New Formula for Interval Numbers with Powers of Positive Rational Numbers and Its Properties Rasi Adishamita, Mashadi and Muliana Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Riau, Indonesia. Abstract Development of interval numbers have shown various beliefs regarding the arithmetics and formulas that apply to interval numbers. One of them is regarding interval numbers with powers, it has previously been shown that general formula of an interval number with power \(k\) where \(k\) is a positive integer is that the lower element and upper element of the interval number are both raised to the power \(k\) and this formula can be written as \(\widetilde{a}^k=[\underline{a}^k,\overline{a}^k]\). However, there is a weakness regarding further use for this formula, that is the basic characteristic of exponents do not apply. For an example is that the the powers of the product of the same interval numbers cannot be added or it can also be written as \(\widetilde{a}^k \otimes \widetilde{a}\neq \widetilde{a}^{k+1}\). There are some formulas given for multiplication operation for interval numbers, but most of them faced similar problem regarding of their formulas such as the result of multiplication of an interval number with its invers is not equal to identity of interval number \(\widetilde{I}=[1,1]\). Therefore, this article will establish a new formula for interval numbers with powers of positive integers using the new formula of multiplication operation for interval numbers and show the basic characteristic such as \(\widetilde{a}^k \otimes \widetilde{a} = \widetilde{a}^{k+1}\) apply. Based on this new formula of interval numbers with positif integer powers, a new formula for interval numbers with fractional powers will also be construct along with the properties that apply to this formula. Keywords: Interval arithmetic, Powers of interval numbers Share Link | Plain Format | Corresponding Author (Rasi Adishamita)

71	Mathematics and Its Applications	ABS-84
Determining the General Inverse for Trapezoidal Fuzzy Numbers Matrix with Modification Elementary Row Operations Mashadi, Weni Gustiana, Sri Gemawati University of Riau Abstract Abstract. Until now, for trapezoidal fuzzy numbers, there have been very many algebra operations given by various authors, in the algebraic operations given, specifically for addition, subtraction, and scalar multiplication operations there is not much difference given by the various authors. However, for multiplication, division, or inverse operations, there are many differences. Not only that for any trapezoidal fuzzy number \widetilde{u}, but it also does not produce \widetilde{u}\bigotimes{\widetilde{u}}^{-1}=\widetilde{i}, so the trapezoidal fuzzy number matrix will not apply \widetilde{U}\bigotimes{\widetilde{U}}^{-1}=\widetilde{I}, as a result, various authors solve the trapezoidal fuzzy number linear equation system by decomposing the trapezoidal fuzzy number matrix in the form of a real number matrix, and some of them do not produce compatible solutions. Based on these conditions, the author provides an alternative to the multiplication, division, and inverse operations of trapezoidal fuzzy numbers which will produce \widetilde{u}\bigotimes{\widetilde{u}}^{-1}=\widetilde{i}. Furthermore, by modifying the elementary row operation, our alternative trapezoidal fuzzy number algebra operation will be applied to determine the general inverse of any trapezoidal fuzzy number matrix. Finally, an example will be given for a 2x3 trapezoidal fuzzy number matrix. Keywords: Trapezoidal fuzzy numbers, Modification of elementary row operations, General inverse Share Link | Plain Format | Corresponding Author (Weni Gustiana)

72	Mathematics and Its Applications	ABS-86
Optimization of the Production Benefits of Pempek on the Food Stalls Srikandi A4R in Lemabang using the Kuhn-Tucker Methods Dhea Putri Anggraini (a*), Agistha Srikandi (b), Santa Leony Suhaimin (c), Fitri Maya Puspita (d), Sisca Octarina (e) Abstract The purpose of this study is to investigate the Kuhn-Tucker method in the context of production profit optimization.. Kuhn-Tucker is an optimization technique related to solving linear and nonlinear programming problems that has wide applications in various fields, including management, economics, and engineering. This method allows decision-makers to identify combinations of variables that result in maximum profit or minimum cost in a system. The results show that the Kuhn-Tucker method can help organizations, which in this study is Warung Srikandi A4R improve their operational efficiency by achieving optimal results in terms of profit of Rp750,000.00 within one month by producing 240 pieces of pempek lenjer, 120 pieces of pempek keriting, and 180 pempek telur. Keywords: Kuhn-Tucker Method, Optimization, Maximum Profit, Warung Srikandi A4R Share Link | Plain Format | Corresponding Author (Dhea Putri Anggraini)

73	Mathematics and Its Applications	ABS-90
INVENTORI PADA BARANG FARMASI YANG DETERIORASI MENGGUNAKAN MODEL DENGAN TINGKAT PERMINTAAN KUBIK Yosari Oktarina Lestari (a*), Fitri Maya Puspita (b), Sisca Octarina (b) Universitas Sriwijaya Abstract Farmasi merupakan salah satu sektor yang memiliki peran yang sangat signifikan dalam menjaga kesehatan dan kesejahteraan masyarakat. Pengelolaan persediaan atau inventori barang farmasi adalah salah satu aspek penting dari aset perusahaan. Dalam hal inventori atau persediaan barang farmasi harus diperhatikan kondisinya seperti kekurangan (shortages) atau kehabisan stok yang menjadi masalah kontrol, manajemen, dan keamanan. Pada penelitian ini diformulasikan model inventori dengan deteriorasi atau kerusakan barang farmasi yang terjadi karena lamanya waktu penyimpanan barang dengan tingkat permintaan kubik. Pada solusi optimal diperoleh waktu inventori saat mencapai titik nol (t_1) dan panjang siklus (T_1) dengan rata-rata total biaya minimum ((TC) &#773-) yang diselesaikan dengan software Wolframalpha. Analisis sensitivitas terhadap perubahan nilai menghasilkan nilai (TC) &#773-meningkat pada semua parameter. Pada peningkatan variabel fungsi kubik menghasilkan nilai t_1 dan T_1 yang stabil. Pada peningkatan biaya setiap kerusakan item (D_c) dan tingkat kerusakan konstan (&#952-) menghasilkan nilai t_1 yang stabil, tetapi nilai T_1 meningkat. Pada peningkatan biaya penyimpanan (h) menghasilkan penurunan pada nilai t_1 dan T_1. Pada peningkatan biaya shortages (s) menghasilkan t_1 nilai meningkat dan penurunan pada nilai T_1. Keywords: Model Inventori, Barang Farmasi, Deteriorating, Tingkat Permintaan Linier, Complete backlogging Share Link | Plain Format | Corresponding Author (Yosari Oktarina Lestari)

74	Pharmacy	ABS-89
TESTING THE INHIBITION ACTIVITY OF THE ALPHA-GLUCOSIDASE ENZYME OF MELINJO LEAF (Gnetum gnemon L.) EXTRACT AND FRACTIONS IN VITRO Herlina Herlina1*, Elfita2 1 Departement of Pharmacy, Faculty of Mathematics and Natural Sciences, Sriwijaya of University 2 Departement of Chemistry, Faculty of Mathematics and Natural Sciences, Sriwijaya of University Abstract Diabetes mellitus (DM) is a serious chronic metabolic disorder characterized by high blood sugar levels (hyperglycemia) and can trigger various complications. Therapy for oral antidiabetic uses drugs that inhibit the enzyme &#945--glucosidase. This study aims to examine the antidiabetic effectiveness of melinjo leaf (Gnetum gnemon L.) extracts and fractions through in vitro inhibition of the &#945--glucosidase enzyme. The inhibition test was carried out by measuring the absorbance of p-nitrophenol produced as a product of the enzymatic reaction at a wavelength of 405 nm using a microplate reader. The IC50 value for ethanol extract, ethanol fraction, ethyl acetate fraction, and n-hexane fraction was 589.39- 494.51- 99.61, and 56.82. The ethyl acetate and n-hexane fractions have a better potential to inhibit the &#945--glucosidase enzyme than the ethanol extract and ethanol fraction. From phytochemical tests, it was found that the ethanol extract and ethanol fraction contained alkaloids, flavonoids, tannins, steroids, and saponins, the ethyl acetate fraction contained flavonoids and tannins while the n-hexane fraction contained steroids. The ethyl acetate fraction and n-hexane fraction have the potential to inhibit the A-glucosidase enzyme Keywords: melinjo leaf (Gnetum gnemon L.), &#945--glucosidase enzyme, IC50, n-hexane fractionPlease Just Try to Submit This Sample Abstract Share Link | Plain Format | Corresponding Author (Herlina Herlina)

75	Physics and Applied Physics	ABS-1
Controlling the comfort of large heat load rooms in the tropical region at low cost Rudi Irawan (a*), Mohamad Yamin (a), Ricky Therisno (b) (a) Department of Mechanical Engineering, Faculty of Industrial Technology, Gunadarma University, Jalan Margonda Raya, No. 100, Depok, West Java, Indonesia. (b) Department of Mechanical Engineering, Faculty of Engineering, Atma Jaya Catholic University, Indonesia * rirawan2010[at]gmail.com Abstract Staff productivity becomes main concern in modern business. There are many requirements to maximise staff productivity staffs in a company. Working in a comfort room is one of them. Working in a comfortable room will result in good productivity, but also good quality of product. Among of criteria of room comfort are temperature, humidity, oxygen content and air flow. People commonly use air conditioner (AC) to make a room as a convenient place to work. However, it is not rare the room is very big and heat load very high, such as a production building in industries in which may have many machineries installed and an open space office. In this situation, using an AC system to make a room comfortable may not a good option, because it will require high capital cost and very costly operational cost. Other technologies, non-AC, may be a better choice, instead. In this report, other approaches, such as well-arranged fans, direct evaporative cooler device, underground evaporative cooler chamber, and down hole heat exchanger are explained. The techniques have been simulated, developed, and tested for open space offices and plant production buildings. All techniques have been able to make the rooms more convenient with minimum capital cost and operational cost. These approaches to some extend even also provide better comfort index as compared to AC, because they are not only able to lower down the temperature, but also supply fresh air and air flow. The main different between the technologies reported here and AC system, they need a room with well ventilated, and do not require chemical, such as refrigerant. Keywords: evaporative cooler, down hole heat exchanger, temperature, humidity, air flow, oxygen content Share Link | Plain Format | Corresponding Author (Rudi Irawan)

76	Physics and Applied Physics	ABS-22
Analysis Of Physical Properties and Phase Transformation in TiO2 Due to Sinteering Temperature Variation Melenia Tambunan1, Siti Nuraini1 and Ramlan1* Physics Department FMIPA University of Sriwijaya, Palembang, Indonesia Abstract Observation was to determine the effect of the Titanium Dioxide material on physical properties and crystal structure of TiO2. The Pellet of titanium dioxide have formed using the sintering method with variation of sintering temperature. This method uses Titanium dioxide powder as raw material without any other mixture. The Titanium dioxide powder was pulverized using the High Energy Milling for one hour and continued with compacting to form a pellet with the Carver Press with 8 tons force. Then the pellets are sintered using a furnace with temperature variations of 850C, 1000C, 1150C and 1250C. Characterization of sintered samples includes measurement of density, porosity, XRD and hardness. The results showed that the 850C sample had the smallest density with a value of 2.23 &#119892-&#119903-/&#119888-&#119898-3 and had the largest porosity around 14% and the smallest hardness value of 228 HV and indicated an anatase phase. Further for samples sintered at 1250C the sample has the greatest density of 2.37 &#119892-&#119903-/&#119888-&#119898-3 and had the smallest porosity of 5% and the greatest hardness value of 309 HV and the rutile phase occured. The results of phase analysis with XRD indicate that phase changes occur from anatase to rutile phase while the temperature increases. Keywords: Titanium dioxide, sinteering, milling, density, porosity Share Link | Plain Format | Corresponding Author (Melenia Tambunan)

77	Physics and Applied Physics	ABS-23
Performance Characterization Of Full Cell Lithium Ion Batteries With Na2Li2Ti6O14 As Anode And Lini 0.8 Mn 0.1 Co 0.1 O 2 (Nmc 811) As Cathode Ramlan1 ,Titik Lestariningsih2, Achmad Subhan2, Akhmad Aminuddin Bama1, and Melenia Tambunan1* 1. Physics Department FMIPA University of Sriwijaya, Palembang, Indonesia 2. Pusat Riset Material Maju Badan Riset dan Inovasi Nasional (PRMM - BRIN ), Kawasan PUSPITEK, Tanggerang Selatan, Indonesia Abstract This lithium ion battery full cell is made with Na 2 Li 2 Ti 6 O 14 as the anode and NMC811 as the cathode. Lithium ion batteries are secondary batteries that can be recharged (rechargeable batteries), have good energy storage stability, high density and no memory effect and have a relatively light weight. Using the solid state reaction method. Using this method, this research was carried out by synthesizing the materials Na 2 Li 2 Ti 6 O 14 and LiNi 0.8 Mn 0.1 Co 0.1 O 2 , then the results of the synthesis were made into a slurry before coating and then the final stage was assembling for full cell coins of lithium ion batteries. After obtaining a full coin cell lithium ion battery, it was characterized using Electrochemical Impedance Spectroscopy (EIS), Charge-Discharge (CD) with a potential range of 1.5 V-3.5 V, cyclic voltammetry (CV) and X-Ray Difraction. Keywords: Lithium ion batteries, full cell , solid state , charge-discharge , cyclic voltammetry . Share Link | Plain Format | Corresponding Author (Melenia Tambunan)

78	Physics and Applied Physics	ABS-29
NEUTRONIC ANALYSIS OF THE CANDLE GAS-COOLED FAST REACTOR (GFR) CORE WITH METALLIC URANIUM (U-10%wtZr) FUEL BASED ON OPENMC Nurhidayah, Fiber Monado, Menik Ariani, Hadir Kaban University Sriwijaya Abstract This study conducts a neutron analysis of the CANDLE Gas-Cooled Fast Reactor (GFR) core with Uranium Metallic (U-10%wtZr) fuel using the OpenMC software. The analysis aims to understand the reactor core^s neutron flux distribution and fission reaction rates. Results reveal higher neutron fluxes in the starter fuel zone due to increased fission reaction rates, while the fresh fuel region shows lower fluxes. The OpenMC software proves effective in neutron analysis for complex reactor geometries, providing crucial insights for safer and more efficient nuclear reactors. Findings contribute to advancing CANDLE-GFR reactors with Uranium Metallic fuel, facilitating sustainable, clean energy solutions while meeting future energy demands and addressing environmental concerns. Keywords: U-10%wt Zr, CANDLE, GFR, flux distribution, and fission reaction rates Share Link | Plain Format | Corresponding Author (Nurhidayah Nurhidayah)

79	Physics and Applied Physics	ABS-31
Investigating the Magnetic Properties of 2D Materials (Cr2C, CoS2, and VSe2) using Density Functional Theory Method for Spintronics Applications Megawati Ridwan Fitri (a), Iin Riananda Br Sinurat (a), M. Nursandi Yulianto (a), Puke Lajaladita Litle Mecci (b), Ikah Ning P. Permanasari (a), Septia Eka Marsha Putra (c), Abdul Rajak (a), Indra Pardede (a*) a) Master Program of Physics, Faculty of Science, Sumatera Institute of Technology, Lampung Selatan, 35365, Indonesia *indra.pardede[at]fi.itera.ac.id b) Physics Department, Faculty of Science, Sumatera Institute of Technology, Lampung Selatan, Lampung, 35365, Indonesia c) Physics Engineering Department, Faculty of Production and Industrial Technology, Sumatera Institute of Technology, Lampung Selatan, Lampung, 35365, Indonesia Abstract The search for suitable materials for spintronic applications is essential, especially for magnetic memory devices. Magnetic properties are essential for memory applications as they underpin data reading based on magnetism. Recently, various 2D materials can fabricated experimentally and show unusual behavior which can open possibility for spintronic applications. In this research, We investigate the magnetic properties of 2D Cr2C, CoS2, and VSe2 materials. Density functional theory (DFT) is employed using Car-Parrinello Vanderbilt Oda (CPVO) code. Magnetic anisotropy energy (MAE) calculated comes from magnetocrystalline anisptropy energy (MCAE) and magnetic dipole interaction (MDI). MCAE part calculated using total energy (TE) difference and grand canonical force theorem (GCFT). The optimized k-point of 12 x 12 x 1 was used for all calculations. The MCAE from TE are -0.03 meV/cell, -0.19 meV/cell, and -0.44 meV/cell for Cr2C, CoS2, and VSe2, respectively. We will analyze the MCAE values by using atomic resolved, k-resolved MCAE form GCFT results. In addition, the possible origin of positive and negative contribution in k-resolved will be discussed with the electronic structure along the perturbation theory. Keywords: 2D Materials, Density Functional Theory, Magnetic Properties, Spintronic Share Link | Plain Format | Corresponding Author (Megawati Ridwan Fitri)

80	Physics and Applied Physics	ABS-32
Design of an Android Application for Rainfall Monitoring System at the Automatic Weather Station Field, Department of Physics Rendy Malikulmulki Wahid Department of Physics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Inderalaya, Indonesia Abstract Rainfall is an important parameter in the climate and weather monitoring system. Accurate and real-time weather monitoring will be very important in making decisions regarding agriculture, drainage, irrigation and emergency measures in the face of potential disasters. This research aims to provide information on rainfall monitored via an Android application. The Android application will be created using the Flutter framework developed by Google. The Android application was made at the Electronics and Instrumentation Laboratory, Physics Department, FMIPA, Sriwijaya University. Meanwhile, rainfall data collection was carried out in the Automatic Weather Station (AWS) field of the Physics Department, FMIPA, Sriwijaya University in July 2021 using a Tipping Bucket sensor. Rainfall data sent by the Tipping Bucket sensor is stored in a database. Changing data from the database into JavaScript Object Notation (JSON) form requires at least 1.2 seconds to display the data to the Android application on 4G and 3G network connections. If at the time the data is dis-played, the connection is on a 2G network, the Android application will show a continuous loading sign which indicates that no data has been taken from the database or can be said to be null data Keywords: Database- flutter- JSON- Tipping Bucket- website Share Link | Plain Format | Corresponding Author (Rendy Malikulmulki Wahid)

81	Physics and Applied Physics	ABS-33
Hail Prediction Model Using Binary Logistic Regression In West Java Region Bella Suci Niati Department of Physics, Faculty of Mathematics and natural Sciences, Sriwijaya university, Inderalaya, Indonesia Abstract The hail phenomenon in Indonesia has increased in recent years, especially in the western part of Java. Recorded from 2010 to 2018 as many as 27 cases of hail events. However,hail has not been well predicted until now so that a system for predicting hail events needs to be made. This study aims to create a model using binary logistic regression for find the relationship between factors that affect the occurrence of hail. The data used includes radar data and top air observation from 2010-2018. The location of this research in DKI Jakarta, Banten and West Java. To determine the most suitable binary logistic regression model,logistic regression analysis is done by test each parameter coefficient and describe descriptive. Based on the significant parameter test by using partial test, variable of ZMax and 500mb zonal wind which had significant effect to hail.Logistic regression model that had the smallest statistical value of AIC was the most feasible model to use. Results showed that the best model was obtained with the statistic AIC test of 41.88971.And then the logistic regression was used to determine risk/no risk of hail. The results show that the forecast models each have POD,CSI and FAR of 1,0,and 1. Keywords: Weather Radar, Radiosonde, ZMAX, Zonal Wind, Freezing Level Share Link | Plain Format | Corresponding Author (Bella Suci Niati)

82	Physics and Applied Physics	ABS-36
ANALYSIS OF MAGNETIC SUSPECTIBILITY AND MINERAL COMPOSITION OF RUBBER PLANTATION SOILS IN MUARA ENIM DISTRICT Mardia Ulfa Sriwijaya University Abstract In this research, we will review the comparison of the physical properties of magnetic minerals on land that is still active and empty land using the rock magnetism method to determine the value of magnetic susceptibility and the composition of magnetic minerals on rubber land as well as characterization using the method.X-Ray Diffraction(XRD) to determine the type and composition of minerals contained in the sample.The aim of this research is to determine the types of minerals and the sustainability value of the two lands so that the level of land pollution and the comparison of the two lands can be known..The research was carried out from May-December 2022 at Gunung Raja Village, Rambang Dangku District, Muara Enim Regency. Measuring the susceptibility value using toolsBartington Magnetic Susceptibility MeterMS2B by runningMultisus soft-ware,used depth variations with 10 points and 50 research samples . Susceptibility valuelow frequency(&#967-lf) the maximum is found in sample P6 while the minimum value is found in sample P2 with a depth variation of 0-10 cm, namely 11.2 x10-8km3/kg-1, with an average value of 42.89 x10-8km3/kg-1, kg . Susceptibility value 322 x10-8km3/kg-1, is included in the level III category with moderate pollution. The highest susceptibility value is on the first land that is still active, while the lowest value is on the empty land. Based on the distribution of X^s susceptibility valuesfd(%) it is known that the dominant research sample is in the range of values 0 - 10.0, which means it contains between 10% and 75% super paramagnetic grains, which are a mixture of fine and coarse super paramagnetic grains. silica SiO2, The XRD results in this research contained three mineral contents, namely silicon d oxide or hematite or Fe2O3, and magnesium oxide or MgO. Keywords: X-Ray Diffraction (XRD), Bartington Magnetic Susceptibility Meter MS2B, vacant land, land active, soil pollution. Share Link | Plain Format | Corresponding Author (Mardia Ulfa)

83	Physics and Applied Physics	ABS-37
SYNTHESIS AND CHARACTERIZATION OF GAMMA ALUMINA FROM HYDROGEN PRODUCTION ALUMINUM WASTE Mita Fitriani , Ramlan , Deni Shidqi Khaerudini Sriwijaya University Abstract Aluminum cans can be used as raw material for hydrogen production. This study aims to study the effect of calcination temperature on the structure and density of gamma alumina. The synthesis of gamma alumina is made from the by-product of hydrogen production, so that the production process will be environmentally friendly and low-cost. The calcination process serves to change the phase of the by-product of hydrogen production. The XRD results show the highest intensity as indicated by the by-product sample of hydrogen production by using a reaction with a concentration of 2M NaOH and a mass of 2gram aluminum powder calcined at a temperature of 700C. At the calcination temperature, the higher the given calcination temperature, the higher the peak intensity produced by gamma alumina. The density value affects the thickness and crystallinity loss. The highest density value at a calcination temperature of 1000C is 36.67gr/cm3 and the lowest density value is 3.19gr/cm3 which is calcined at a temperature of 600C. Density test showed that samples calcined at temperatures of 800, 900, and 1000C had high density values because alumina phases other than gamma alumina had been identified. Keywords: gamma alumina, hydrogen production, calcination, crystallinity, density Share Link | Plain Format | Corresponding Author (MITA FITRIANI)

84	Physics and Applied Physics	ABS-56
PEMANFAATAN LOGAM DAN SENG SEBAGAI SEL VOLTA DALAM MEDIA LIMBAH BUAH BUAHAN Rudi Setiawan 1, Syaiful Eddy 2*, Andi Arif Setiawan 2 UNIVERSITAS PGRI PALEMBANG Abstract Mahluk hidup membutuhkan sumber energi untuk mempertahankan taraf hidupnya Sumber energi terus meningkat sejalan dengan kebutuhan masyarakat yang semakin meningkat. Salah satunya sumber energi yang tidak dapat di perbaharui adalah minyak pemanas dan fosil. Tujuan dari penelitian ini untuk mengkaji beda potensial dan arus yang dihasilkan, maka dari itu peneliti memandang perlu untuk melakukan penelitian seberapa besar beda potensial dan arus listrik yang dihasilkan limbah buah-buahan. Metode yang digunakan yaitu survey di lokasi pasar Induk Jakabaring Kota Palembang, berupa pengamatan langsung di lapangan disertai pengambilan sampel. Tahapan selanjutnya dilakukan percobaan (eksperimen) di Laboraturium. Sampel limbah buah-buahan ini terdiri dari buah nanas, tomat, jeruk dan pisang, di blander dan selanjutnya sampel diambil ekstrak buah di diamkan tersebut dimasukan kedua elektroda Cu dan Zn untuk di ukur beda potensial dan arus listrik berdasarkan 6 kali pengulangan dan pengulangan pengukuran pada masing-masing ekstak limbah buah berjangka waktu 5 menit. Hasil penelitian ini adalah Urutan buah yang menghasilkan beda potensial dan arus listrik dari yang paling tinggi yaitu tomat (0,99 v - 1,41 mA), jeruk (0,97 v - 1,04 mA), nanas (0,97 v - 1,01 mA), dan pisang (0,96 v - 0,43 . Keywords: Limbah Buah-Buahan, Beda Potensial, Kuat Arus Listrik Share Link | Plain Format | Corresponding Author (RUDI SETIAWAN)

85	Physics and Applied Physics	ABS-73
Green Synthesis Nanoparticles Fe3O4 from Natural Iron Sand Lampung for Magnetic Biosensor Applications Indra Pardede, Misbahul Mustofa, Priyan Prayogo, Iin Riananda Br Sinurat, Kenyo Lintang Pertiwi, Rina Larasati, Alamta Singarimbun, Agustina Widiyani, Melany Febrina, Yusron Darojat, Muhammad Anshory, Yayat Iman Supriyatna, Joko Suwardy Department of Physics, Faculty of Science, Sumatera Institute of Technology, South Lampung 35365, Indonesia *indra.pardede[at]fi.itera.ac.id Master Program of Physics, Faculty of Science, Sumatera Institute of Technology, South Lampung 35365, Indonesia Department of Physics, Bandung Institute of Technology, Jalan Ganesha No.10, Bandung, West Java 40132, Indonesia Research Center of Mining Technology, National Research and Innovation Agency (PRTPB-BRIN), South Lampung 35361, Indonesia Research Center for Quantum Physics, National Research and Innovation Agency (BRIN), South Tangerang 15314, Indonesia Abstract Biosensors are sensors used to detect the presence of biomaterials, such as enzymes, proteins, various types of dangerous substances, viruses, formaldehyde, and various other types of diseases. One type of sensor used for biosensors is a magnetic sensor. In this research, we use biosensors based on giant magnetoresistance (GMR) and tunneling magnetoresistance (TMR) sensors. These GMR and TMR sensors work based on changes in resistance or output voltage in the presence of an external magnetic field around them. The magnetic material that will be used as a source of external magnetic field induction is green synthesis Fe3O4 magnetic material from iron sand in Lampung, especially in the South Lampung district. The Fe3O4 binds with biomaterials by using ligands. The biomaterial binding ligands used consist of polyethylene glycol (PEG), dextran, and chitosan. The measurement results show that the GMR and TMR sensors can detect the presence of Fe3O4. The X-ray diffraction and vibrating sample magnetometer characterization show that polycrystal magnetite phase and superparamagnetic behavior are formed. The sensor output signal changes as a function of time with increasing Fe3O4 mass. Furthermore, the sensor signal also changes as ligands and biomaterial are attached to Fe3O4. These changes originated from the stray field of Fe3O4 that can influence the Our results indicate that Fe3O4 magnetic material from iron sand in Lampung is potentially used for biosensor application. Keywords: Green synthesis Fe3O4, Iron Sand, GMR and TMR sensors, Biosensor applications Share Link | Plain Format | Corresponding Author (Indra Pardede)

86	Physics and Applied Physics	ABS-79
Neutronic Calculation of Mixed Oxide Fuel for Gas Cooled Fast Reactor using Monte Carlo code OpenMC Muhammad Aldi Kurniawan , Menik Ariani* , Fiber Monado Physics Department, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Jl. Raya Palembang - Prabumulih Km. 32 Indralaya, OI, South Sumatra 30662, Indonesia. * menik_ariani[at]unsri.ac.id Abstract After its stay in the reactor for several years, the spent UO2 fuel contains an appreciable amount of fissile plutonium which could be separated from it. This Plutonium is then blended with natural uranium (0.7 wt% U-235) to form mixed oxide (MOX) fuel. In this research, the plutonium content could be varied from 0 wt% to 14 wt% keeping the safety parameters of the system in view. Neutronics calculations of MOX fuel for Gas Cooled Fast Reactor are performed by OpenMC - a community-developed Monte Carlo neutron and photon transport code. The physical parameter observed is the infinite multiplication factor value where it has been concluded that increasing the plutonium percentage has an impact on increasing the multiplication factor value. Keywords: neutronic, mixed oxide, OpenMC Share Link | Plain Format | Corresponding Author (Muhammad Aldi Kurniawan)

87	Physics and Applied Physics	ABS-82
E-LEARNING DEVELOPMENT OF STATIC FLUID MATERIAL TO IMPROVE CRITICAL THINKING SKILLS OF SENIOR HIGH SCHOOL STUDENTS Muhamad Tauffan Hidayatullah Norman Physics Education Study Program, Faklty of Teacher Training and Education, Sriwijaya University, South Sumatera 30862, Indonesia Abstract The spread of COVID 19 which occurred at the beginning of 2020 had an impact on the world of education, requiring learning to be carried out online at home. Therefore, there is a need for learning media that can be used as a means of online learning, one of which is e-learning. This research aims to develop Moodle-based e-learning which is designed to improve students^ critical thinking skills. This research was conducted in 2021 at SMA Negeri 10 Ogan Ilir, which had previously carried out an analysis of the e-learning needs of its students. The research method used is development research using the Rowntree development model which consists of three development stages, namely, the planning stage, the development stage and the evaluation stage. In this research, the evaluation stage used was the Tessmer formative evaluation stage which consists of four stages, namely, self evaluation, expert review, one-to-one evaluation, and small group evaluation to determine the level of validity and practicality of e-learning. Data collection techniques use walkthrough data and questionnaire data. Based on the results of the expert review of the three aspects of the assessment, the average expert assessment was 97% with very valid criteria. This research has succeeded in developing e-learning products on static fluid material to improve high school students^ critical thinking skills that are valid and practical. Based on the results at the one-to-one evaluation stage, the average student response to the use of e-learning was 94.22% with very practical criteria and at the small group evaluation stage, the average student response to the use of e-learning was 96. 73% with very practical criteria. Thus, it can be concluded that e-learning on static fluid material to improve high school students^ critical thinking skills is valid and practical. Keywords: Learning Management System, Physics, 21st Century Skills, Learning Media, Moodle Share Link | Plain Format | Corresponding Author (Muhamad Tauffan Hidayatullah Norman)

88	Physics and Applied Physics	ABS-93
The Impact of Positive IOD and La Nina on Rainfall, Groundwater Level, and Soil Moisture in Peatlands in South Sumatra Muhammad Irfan1,*, Sri Safrina2, Awaludin3, Albertus Sulaiman3, Mokhamad Yusup Nur Khakim1, Frinsyah Virgo1, Sutopo1, Azhar Kholiq Affandi1, Dedi Setiabudidaya1, Iskhaq Iskandar1 1 Department of Physics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Indonesia 2 Department of English Education, Faculty of Teacher and Training, University of Sriwijaya, Indonesia 3 Research Centre for Climate and Atmosphere, National Agency for Research and Innovation (BRIN), Jakarta, Indonesia Abstract Indonesia is between the Indian Ocean and the Pacific Ocean, so all of the natural phenomena that occur in these two oceans have an impact on Indonesia. This research aims to analyze the impact of IOD+ in 2019 in the Indian Ocean and La Nina in 2020 in the Pacific Ocean on rainfall, groundwater levels, and soil moisture on peatlands in South Sumatra. The data used are the results of measurements at the Karang Agung station in the period from January 2019 to December 2020. The data was then analyzed statistically. The result is that rainfall in the 2019 dry season was much lower than in the 2020 dry season. Groundwater levels and soil moisture in the 2019 dry season were also lower than in 2020. There was also a strong correlation between groundwater levels and soil moisture. Keywords: climate anomaly, ENSO, dynamics, relationship, correlation Share Link | Plain Format | Corresponding Author (Muhammad Irfan)

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