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All Journal Journal of Dentistry Indonesia JTAM (Jurnal Teori dan Aplikasi Matematika) Martabe : Jurnal Pengabdian Kepada Masyarakat International Journal of Supply Chain Management Padjadjaran Journal of Dental Researchers and Students International Journal of Research in Community Services International Journal of Global Operations Research International Journal of Quantitative Research and Modeling Jurnal Matematika Integratif
Supian, Sudradjat
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Stationary Distribution Markov Chain for COVID-19 Pandemic Achmad, Audi; Mahrudinda, Mahrudinda; Ruchjana, Budi; Supian, Sudradjat
International Journal of Global Operations Research Vol. 1 No. 2 (2020): International Journal of Global Operations Research (IJGOR), May 2020
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i2.25

Abstract

Coronavirus disease (COVID-19) is a new disease found in the late 2019. The first case was reported on December 31, 2019 in Wuhan, China and spreading all over the countries. The disease was quickly spread to all over the countries. There are 206.900 cases confirmed by March 18, 2020 causing 8.272 death. It was predicted that the number of confirmed cases will continue to increase. On January 30, 2020, WHO declared this as pandemic for the 6th time ever since the swine influenza. There are a lot of researchers which discuss pandemic spreading caused by virus with mathematical modelling. In this paper, we discuss a long-term prediction over the COVID-19 spreading using stationary distribution markov chain. The goal is to analyze the prediction of infected people in long-term by analyzing the COVID-19 daily cases in an observation interval. By analyzing the daily cases of COVID-19 in Indonesia from March 2nd, 2020 until November 1st, 2020, result shown that 53.91% of probability that the COVID-19 daily case will incline in long-term, 44.86% of chance will decline, and 1.23% of chance will stagnant.
Numerical Model of Current Speed in Bojong Salawe Beach, Pangandaran West Java Province Subiyanto, Subiyanto; Nirwa, Nira na; Yuniarti, Yuniarti; Ihsan, Yudi Nurul; Afrianto, Eddy; Supian, Sudradjat
International Journal of Global Operations Research Vol. 2 No. 1 (2021): International Journal of Global Operations Research (IJGOR), February 2021
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v2i1.40

Abstract

The purpose of this study was to determine the hydrodynamic conditions at Bojong Salawe beach. The method used in this research is a quantitative method, where numerical data is collected to support the formation of numerical models such as wind, bathymetry, and tide data. The hydrodynamic model will be made using Mike 21 with the Flow Model FM module to determine the current movement pattern based on the data used. In the west monsoon with a maximum instantaneous speed of 0.04 - 0.08 m/s, while in the east monsoon it moves with a maximum instantaneous speed of 0,4 – 0,44 m/s. The dominant direction of current movement tends to the northeast. The results indicate the current speed during the east monsoon is higher than the west monsoon. The difference in the current speed is also influenced by the tide conditions; higher during high tide and lower during low tide. Monsoons also have a role in the current movements, though the effect is not very significant.
Detecting Similarities in Posts Using Vector Space and Matrix Haq, Al Fataa Waliyyul; Carinia, Ema; supian, sudradjat; subiyanto, subiyanto
International Journal of Global Operations Research Vol. 1 No. 3 (2020): International Journal of Global Operations Research (IJGOR), August 2020
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i3.44

Abstract

This study discusses the application of two linear algebraic materials, namely vector and matrix spaces. The application of the two materials is related to an article, the writing can be in the form of an article, book, and so on. The writings examined in this study use example sentences made by the author. Two materials of linear algebra, namely the vector space and the matrix are used to analyze whether there is a similarity between the writing made with other writing. As a result, vector space and matrix can be used to detect similarities in a text.
Optimization of The Best Line-up in Football using Binary Integer Programming Model Mahrudinda, Mahrudinda; Supian, Sudradjat; subiyanto, subiyanto; Chaerani, Diah
International Journal of Global Operations Research Vol. 1 No. 3 (2020): International Journal of Global Operations Research (IJGOR), August 2020
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i3.45

Abstract

This paper aims to find the formation with the best line-up of the Liverpool FC football team in the English Premier League in the 2020/2021 season. Researchers used binary integer programming (BIP) modeling to determine optimum solutions. The data used for this optimization is the rating value of the players recorded in the performance data from the previous matches. The optimum result of this problem is the selection of variables that are valued at 1, namely {x_1, x_4, x_6, x_8, x_21, x_28, x_34, x_37, and x_39} for formations 4-3-3 with a maximum value of 82.47, and variables {x_1, x_6, x_7, x_8, x_11, x_14, x_16, x_29, x_31, x_32, andx_42} for 4-2-3-1 formations with a maximum value of 80.04. The 4-3-3 formation is more effective because it has a higher maximum rating than the 4-2-3-1 formation.  4-3-3 formation is an attacking formation with a higher intensity of attack and faster than  4-2-3-1 formation that tends to defend moderately.
Prediction of the Chances of Death in Covid-19 Data Using the Poisson Process Ashgi, Rizky; Supian, Sudradjat; subiyanto, subiyanto
International Journal of Global Operations Research Vol. 1 No. 4 (2020): International Journal of Global Operations Research (IJGOR), November 2020
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v1i4.47

Abstract

Covid-19 has brought about major changes for all people in various countries, for example creating vaccines, wearing masks and predicting the predictive state of death that will occur. In this paper, we will predict cases of covid-19 deaths using data taken from the worldometer website by taking data on daily covid-19 deaths worldwide in the period January 23rd- April 16th, 2020. Then the data is processed using the Poisson process that has been transformed using SPSS computer programming, namely the daily mortality rate in the period January 23rd - March 16th, 2020 using descriptive statistics, it was found that the death rate was 4 people in one day, then the Kolmogorov test followed the Poisson distribution, because it met the requirements for the P-value. value . Furthermore, it is calculated by using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21 because the data has been transformed, so . the chance that no one will die within the next 45 days, namely April 30th, 2020 is close to. In the period of January  23rd  - April 16th, 2020 using descriptive statistics, it was found that the death rate was 6 people in one day, then the Kolmogorov test was carried out with the results following the Poisson distribution, because it fulfilled the requirements for a P-value . Furthermore, it is calculated using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21st, 2020  because the data has been transformed, so . The chance that no one will die within the next 45 days, namely May 31, is close to .
Analysis of Efficiency and Productivity with Data Envelopment Analysis and Malmquist Productivity Index at As Syafiiyah Islamic University Pratignyo, Lisana Sumarah; Supian, Sudradjat; Lesmana, Eman
International Journal of Global Operations Research Vol. 4 No. 1 (2023): International Journal of Global Operations Research (IJGOR), February 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i1.199

Abstract

Efficiency is important in the assessment of a performance on an institution or organization. After assessment of efficiency is continued with measurement of assessment in its productivity. The purpose of this paper is to analyse the efficiency and productivity of 7 study programs at As Syafi’iyah Islamic University. The results obtained for the value of efficiency on 7 study programs of 2017/2018-2018/2019 academic year using the Data Envelopment Analysis method is there are 6 study programs as Decision Making Unit (DMU) for 2 years consecutive have a technical efficiency value reach 100% on each DMU. As for the productivity measurement of 7 study programs using the Malmquist Productivity Index method which achieved the highest productivity is  Islamic Religious Education Program (PAI) with a Total Factor Productivity (TFP) value of 1.124.
Performance Analysis of Service System in the Pediatric Clinic Department at Rumah Sakit Umum Daerah (RSUD) Sumedang Annisa, Diana; Supian, Sudradjat; Nahar, Julita
International Journal of Global Operations Research Vol. 4 No. 3 (2023): International Journal of Global Operations Research (IJGOR), August 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i3.233

Abstract

A service is considered good if it can provide fast service so that customers are not left waiting for too long. If a service has a long queue, then causing customers to wait for a long time, their satisfaction and trust levels may decrease. Rumah Sakit Umum Daerah (RSUD) Sumedang offers various outpatient services, including a pediatric clinic. Almost every day, a significant number of patients come to the pediatric clinic, resulting in considerable waiting time for patients. The service discipline used is First Come First Serve, and the service system falls under the multi-phase category, where each patient has to go through several stages to receive optimal service. This research will focus on the service system in the pediatric clinic at each stage, starting from registration, examination by the doctor, to medication collection at the pharmacy. The research findings indicate that the workload at the pharmacy counter is very high, while it is significantly low at the registration counter, resulting in suboptimal performance of the service system at these two stages. The performance of the service system can be improved by reducing service facilities at the registration counter and adding resources at the pharmacy counter. 
Implementation of Open Jackson Queueing Network on Customer Service and Ticket Service at Pasar Senen Train Station Jakarta Anisa Kisti, Vuji; Supian, Sudradjat; Nahar, Julita
International Journal of Global Operations Research Vol. 6 No. 1 (2025): International Journal of Global Operations Research (IJGOR)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i1.344

Abstract

The increase in the number of users of train services causes a buildup in various service facilities, which affects the quality and efficiency of services. This study aims to optimize the service system at Pasar Senen Station by applying the open Jackson queueing network model using the First Come First Serve discipline. The data used includes external arrival times, service times, and cost components at three main facilities: customer service locket, ticket counter locket, and ticket vending machine locket. The results showed that optimal performance was achieved at the ticket counter (M/M/3) and ticket vending machine (M/M/2) with a busy level of 82.14% and 62.66% respectively. Simulation of reducing the number of servers in customer service to two (M/M/2) results in a busy level of 77.95% and lower total costs.
Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors Riaman, Riaman; Parmikanti, Kankan; Subartiny, Betty; Supian, Sudradjat
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 4 (2023): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i4.15446

Abstract

This research was conducted to model paddy production based on weather factors. This needs to be done to predict crop yields and regulate paddy cropping patterns. In setting the cropping pattern, the weather is selected which consists of temperature, wind speed, and rainfall, as a variable factor of production. Meanwhile, other factors (such as fertilization, sunshine, air humidity, etc.) are assumed to be in catteries paribus conditions. The research method used is a mixed method between qualitative methods which are descriptive details and quantitative methods which are based on weather data and Paddy's harvest data. The aim of this research is to analyze the influence of weather on paddy production results. Analysis is done to get the production function. Parameters are estimated using the Ordinary Least Square (OLS) method by minimizing the sum of squared errors. Based on data analysis, a correlation of 0.899 was obtained with a standard error of .051665515. the results of model testing also show significant results with the F statistic obtained at 33.98 with a p-value of 0.028 which is less than 5%. So it can be concluded that there is a significant relationship between weather and paddy productivity. In such a way that the weather can be used as a reference in determining the prediction of loss risk and paddy production. This model can also be recommended for further research, namely to determine insurance losses that may arise when extreme weather events occur. 
Mathematical Model Analysis of Mosaik Disease Spread on Jatropha Plants: Article Review Rahmani, Ayun Sri; Subiyanto, Subiyanto; Supian, Sudradjat
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.669

Abstract

Mosaic disease is one of the plant diseases that can be detrimental and cause crop failure, the disease is caused by Begomovirus. Begomovirus is spread by whitefly vectors.  The whitefly as a vector can infect healthy plants because once the whitefly is infected, the whitefly body will forever contain the disease. Therefore, we need a mathematical model to prevent the spread of mosaic disease on Jatropha plants and make a strategy to prevent mosaic disease with optimal control and other factors. In this study, mathematical modeling of the spread of jatropha mosaic disease will be discussed, with the addition of various compartments, parameters, and optimal control. Several strategies that can be used to prevent mosaic disease in Jatropha are adding effect awareness, delay, insecticides, interventions, natural predators, yellow stick, rouging, and a combination of all strategies.
Co-Authors Achmad, Audi Ahmad, Mohammad Fadhli Anisa Kisti, Vuji Anita Triska Annisa, Diana Apriliza, Poppy Arfemitha, Nurlia Asih Ashgi, Rizky Carinia, Ema Dewi Zakiawati, Dewi Diah Chaerani Eddy Afrianto Elis Hertini Eman Lesmana Fahmi Oscandar, Fahmi Haq, Al Fataa Waliyyul Herlina Napitupulu Hiwari, Hazman Julita Nahar, Julita Kancana, Sildha Pura Kankan Parmikanti Mahrudinda, Mahrudinda Mubasysyir, Muhammad Hanif Nazihah, Nazihah Nirwa, Nira na Noriszura Ismail Nugraha, Alhana Pratignyo, Lisana Sumarah Putri, Nabilla Azka Rahmadini, Nurhaliza Rahmani, Ayun Sri Rasyid, Thariq Ahmad Riaman Riaman, Riaman Ruchjana, Budi Setiadi, Desyani Shalihah, Desyani Subartiny, Betty Sukono . Tofany, Novan Yoni Fuadah Syukriani Yudi Nurul Ihsan Yuniarti Yuniarti Yuti Malinda Zainurrisalah, Fathulhanif Salman