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INDONESIA
Journal of Science and Technology
Published by Universitas Islam Negeri Imam Bonjol Padang
ISSN : 27982696     EISSN : 27980057     DOI : 10.15548
Core Subject : Science, Education,
Computer Science & IT Mathematics
JOSTECH focuses on the dissemination of scientific research in the field of Sains and Technology. We invite researchers, academics, practitioners to join us, submitting your original manuscripts. The JOSTECH encourages submission of the manuscript dealing with all sciences and technology aspects, but not limited to Mathematics and Information Technology
Arjuna Subject : Matematika - Matematika Komputer
Articles 80 Documents
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Aplikasi Metode Kendali LQR (Linier Quadratic Regulator) pada Sistem Suspensi Seperempat Mobil Asfa'ani, Ezhari; Sari, Anisa Rizki; Hasibuan, Lilis Harianti
JOSTECH Journal of Science and Technology Vol 4, No 1: Maret 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i1.8345

Abstract

This research discusses the design of the Linear Quadratic Regulator (LQR) control method for car suspension systems. The car suspension systems considered are limited to quarter car models. The dynamic equations of the quarter car system are derived by applying Newton's Second Law. Next, a suspension system without control is compared with a suspension system that has been given control. The uncontrolled quarter car suspension system has an eigenvalue of -1.3658 + 0.0000i; 0.9635 + 0.0000i; -0.0488 + 0.3156i and -0.0488 - 0.3156i which means the system is unstable. Meanwhile, the quarter car suspension system that has been given LQR control has an eigenvalue of -111.8113; -74.4464; -36.9243 and -14.0242 which means the system is asymptotically stable. Based on eigenvalue analysis and numerical simulation, LQR control can stabilize the quarter car suspension system.
Peramalan Harga Bahan Pangan Menggunakan Fuzzy Times Series Putri Z, Rini Widia; Maududi, Roni Al; Hartuti, Purni Munah
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9728

Abstract

Ketidakstabilan harga merupakan salah satu masalah penting dalam pemenuhan kebutuhan pangan masyarakat Indonesia. Perlu upaya dalam mengambil keputusan yang lebih baik guna memprediksi ketidakpastian masa depan, salah satunya dengan metode peramalan. Tujuan penelitian ini adalah untuk meramalkan harga bahan pangan di waktu akan datang menggunakan Fuzzy Time Series yang dikembangkan oleh Chen (1996). Peramalan menggunakan data historis bahan pangan (beras, minyak goreng, gula pasir, ayam potong, daging sapi, dan telur ayam ras) periode Januari 2019 – November 2023, kemudian diubah menjadi nilai linguistik agar nilai permalan yang diperoleh lebih akurat. Hasil peramalan harga bahan pangan (beras medium, minyak goreng premium, gula pasir, ayam potong, daging sapi, dan telur ayam ras) pada periode selanjutnyaberturut-turut (dalam rupiah/ kg) adalah  14907,80273; 16844,40540; 16073,89574; 35583,30727; 136038,4927; 30302,34563. Sedangkan tingkat keakuratan prediksi harga bahan pangan dengan metode MAPE, diperoleh bahwa semuanya akurat. Dengan adanya hasil peramalan ini, dapat dijadikan salah satu pertimbangan dalam menentukan kebijakan oleh pihak berwenang guna mencukupi kebutuhan pangan masyarakat Indonesia.
Barisan Cauchy pada Ruang Semimetrik Terbatas Rianjaya, Ilham Dangu; Putri, Amelia; Musthofa, Syarto
JOSTECH Journal of Science and Technology Vol 4, No 1: Maret 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i1.8234

Abstract

Semimetric spaces with bounded property means that it is bounded below and bounded above by constant multiples of a metric space. Moreover, in semimetric spaces, every convergent sequence is not necessarily to be a Cauchy sequence. This study aims to examine the property of sequences of semimetric spaces with boundary property. In this work, analytical method of proof is used. The results obtained are the equivalence of the convergence of the sequence, and the fulfillment of the Cauchy criterion in the finite semimetric space and the metric space that bounds it. In addition, the completeness property in one space also causes the other space to fulfill the completeness property.
Mathematical Modelling In Addiction Cases Online Games Using The SEIRS Model In Middle School Sivaliputta Setiawan, Novyanto; Prihandono, Bayu; Pasaribu, Meliana
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9302

Abstract

Online game addiction is a mental illness caused by the habit of playing online games for too long. The average duration of time a person is said to fall into the category of addiction to playing online games is if the duration of time spent is 20-25 hours per week. This research uses the SEIR model, Susceptible (S) is the subpopulation who has online games on their gadgets and plays online games for less than one hour/day, Exposed (E) is the subpopulation who plays online games for one to three hours/day, Infected (I) is the subpopulation who plays online games for more than three hours/day and Recovered (R) is the subpopulation who has stopped playing online games and does not have online games on their gadget. Mathematical models need to be searched and formed using the SEIR model. The research data used data obtained from the activities of Sivaliputta Junior High School students in playing online games.. The steps of this research began by determining the problem of online game addiction in the student population at Sivaliputta Junior High School, making assumptions and identifying variables (susceptible, exposed, infrcted, recovery), forming a mathematical model, determining the equilibrium point, determining basic reproduction value  and perform numerical simulations. The solution point will stabilize be asymptotically stable for a certain period of time with a susceptible population of 13 people, an exposed population of 61 people, an infected population of 46 people and a recovered population of 211 people.
Analisis Sensitivitas dalam Optimalisasi Produksi UD Mekar Sari Karang Klesem Menggunakan Program Linier dengan Metode Simpleks Diperbaiki Winarni, Ambar; Kartika, Dwiani Listya
JOSTECH Journal of Science and Technology Vol 4, No 1: Maret 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i1.8231

Abstract

The research aimed to optimize the production of crackers in order to achieve maximum profit at the UD Mekar Sari Karangklesem factory by applying the simplex method. This research used a descriptive quantitative research approach and literature study methods to support the preparation of this research. The data used is secondary data which includes the amount of each raw material needed, the purchase price of each raw material, the selling price of each type of cracker and the yield of each type of cracker produced. UD Mekar Sari is a cracker factory that produces gendar crackers, soto crackers, onion crackers and makaroni crackers. The results of this study indicate that after going through the steps of the simplex method which was improved it was found that an optimum profit of IDR 11,530,000 would be achieved by producing 200 kg of gendar crackers, 80 kg of soto crackers, 100 kg of onion crackers and 80 kg of makaroni crackers . Based on the data on the composition and supply of raw materials for the production of the four types of crackers, data analysis and processing can be carried out by formulating them into a linear program using the improved simplex method. This method is considered more efficient than the improved simplex method. The results of the sensitivity analysis that only limited changes in coefficient value at objective function (the profit each crackers) and the constants right side constraints (the capacity of supply of the raw materials) show that profit remain in optimal condition if the change of coefficient value at objective function and the constants right side constraints between the range being resulted.
Recognition of Voronoi Cell Distribution in Earthquake Epicenter Data in the Sunda Strait Region, Indonesia Muliawati, Triyana; Lestari, Fuji; Harbowo, Danni Gathot; S, Mika Alvionita
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9830

Abstract

The Sunda Strait is currently one of the busiest transportation hubs. However, this area has a significant history of geological disasters caused by the dynamic tectonic activity of the Eurasian and Indo-Australian tectonic plates. These disasters include the supervolcanic eruption of Krakatoa in 1883, the Sunda Strait tsunami in 2018, and decades of frequent earthquakes. To address these challenges, this study analyzes the frequency and distribution of seismic activity in the Sunda Strait region based on epicenter data recorded in the United States Geological Survey (USGS) Earthquake Catalog. We collected 440 multivariate earthquake data points between 1990 and 2023 (over three decades). The results of this study show that a machine learning approach accurately identified four relevant parameters for k-means clustering, followed by a silhouette value analysis to recognize the distribution of Voronoi cells. Based on earthquake data from the Sunda Strait from 1990 to 2023, the two highest silhouette analysis values, 0.40 and 0.39, are located at k=3 and k=5 in k-means clustering. This approach has recognized and identified the cell area of earthquake activity in the Sunda Strait, particularly around Anak Krakatoa. This study provides new insights into the spatiotemporal characteristics and identifies clusters of earthquake-prone areas. The information generated in this study facilitates the evaluation of future earthquake disaster risks, especially those with epicenters in the Sunda Strait region.
Pemodelan Matematika dan Analisis Kestabilan Model Pada Penyebaran HIV/AIDS Tipe SITA (Susceptible, Infected, Treatment, AIDS) Mahuda, Isnaini; Rofiroh, Rofiroh
JOSTECH Journal of Science and Technology Vol 4, No 1: Maret 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i1.8323

Abstract

HIV/AIDS still become a major public health problem that occurs in almost all countries in the world. Until now, no medicine has been found that can treat HIV/AIDS. However, there is therapy or treatment that can be done to slow the spread of the virus, namely antiretroviral (ARV) or called Antiretroviral Therapy (ART). The mathematical modeling carried out in this study uses the SITA type where there are 4 compartments, namely Susceptible (S), Infected (I) Treatment (T), and AIDS (A) in a closed population. The objectives of this research are: 1) to construct a mathematical model for the spread of SITA type HIV/AIDS, 2) determine the equilibrium point and stability of the equilibrium point of the model, 3) determine the basic reproduction number (R_0), and 4) carry out a dynamic simulation of the model. Mathematical modeling of the spread of SITA type HIV/AIDS produces two equilibrium points, namely the disease-free equilibrium point (E_1) and the endemik equilibrium point (E_2). From the results of the analysis, the basic reproduction ratio (R_0) was also obtained by building a matrix called the Next Generation Matrix (NGM). The basic reproduction ratio number (R_0) also determines the existence and stability of the equilibrium point and can control the rate of spread of HIV/AIDS. Based on the simulation results, the parameter value that greatly influences population dynamics is the rate of treatment given to the Infected (I) sub population.
Efektifitas Skrining Genetik dalam Pengendalian Thalassemia Beta Mayor di Indonesia Menggunakan Kontrol Backstepping Suhika, Dewi
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9667

Abstract

Thalassemia merupakan kelainan genetik yang berdampak signifikan terhadap penduduk di Indonesia. Strategi kontrol dan manajemen yang efektif sangat penting untuk memitigasi penyebarannya dan meningkatkan hasil pengobatan pada pasien. Penelitian ini menyajikan model matematika thalassemia menggunakan pengembangan SIR, yang disempurnakan dengan menggabungkan metode skrining genetik dan metode kontrol backstepping. Parameter model, termasuk tingkat infeksi, tingkat pemulihan, dan tingkat skrining disesuaikan untuk mencerminkan kondisi realistis. Simulasi dilakukan untuk membandingkan dinamika penyebaran thalassemia dengan dan tanpa penerapan kontrol backstepping. Hasilnya menunjukkan bahwa skenario kontrol backstepping secara signifikan mengurangi populasi yang terinfeksi lebih cepat dibandingkan skenario yang tidak terkendali. Penelitian ini menyimpulkan bahwa kontrol backstepping yang dikombinasikan dengan skrining genetik, memberikan strategi yang efektif untuk menangani thalassemia. Pendekatan ini tidak hanya mengurangi infeksi dengan cepat tetapi juga menjaga stabilitas sistem dari waktu ke waktu. Hasil penelitian ini merekomendasikan integrasi kontrol backstepping ke dalam kebijakan kesehatan masyarakat untuk pengelolaan thalassemia yang lebih efektif di Indonesia.
Penerapan ARIMA Pada Data Curah Hujan di Stasiun Meteorologi Kelas II Minangkabau Padang Pariaman Nur, Rizki Amalia; Putri, Darvi Mailisa
JOSTECH Journal of Science and Technology Vol 4, No 1: Maret 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i1.8361

Abstract

Rainfall is one of the indicators of climate change that has an impact. Class II Minangkabau Meteorological Station Padang Pariaman is one of the locations that has an impact on rainfall. This location is Minangkabau International Airport so that rainfall information is very important. The rainfall data used in this study is monthly data with the period January 2017 to June 2022. The ARIMA model is applied to perform forecasting or prediction of rainfall data for the next period. The results of the study based on the analysis of the Akaike Information Criterion (AIC) value obtained the best model ARIMA (3,1,0).
Analisis Algoritma LSTM dan SVR untuk Memprediksi Saham Perbankan di Pasar Indonesia Agustina, Dina; Sari, Devni Prima
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9886

Abstract

Penelitian ini membahas analisis komparatif algoritma Long Short-Term Memory (LSTM) dan Support Vector Regression (SVR) untuk memprediksi harga saham dari empat bankdi Indonesia: Bank BCA (BBCA.JK), Bank BNI (BBNI.JK), Bank BRI (BBRI.JK), dan Bank Mandiri (BMRI.JK). Studi ini dikarenakan semakin pentingnya prediksi harga saham yang akurat di pasar saham Indonesia untuk pengambilan keputusan yang lebih baik di sektor perbankan. Metodologi yang digunakan melibatkan pelatihan model LSTM dan SVR dengan menggunakan data saham historis dan mengevaluasi kinerja prediksi dengan menggunakan Root Mean Square Error (RMSE). Tujuannya adalah untuk mengetahui algoritma mana yang memiliki akurasi prediktif yang lebih baik untuk saham perbankan di pasar Indonesia. Hasilnya menunjukkan perbedaan yang mencolok dalam nilai RMSE antara model LSTM dan SVR pada bank-bank yang dipilih. LSTM menghasilkan nilai RMSE sebesar 84.2712, 103.7936, 15.5974, dan 26.8980 untuk masing-masing bank, sementara SVR menunjukkan nilai RMSE yang lebih rendah, yaitu 4.9627, 5.4234, 5.4234, dan 2.5470. Hasil penelitian menunjukkan bahwa algoritma SVR lebih baik dibandingkan LSTM dalam memprediksi harga saham perbankan, serta menunjukkan potensi penerapannya di pasar saham Indonesia untuk meningkatkan proses pengambilan keputusan investasi.

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