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APPLICATION OF OPTIMAL CONTROL THEORY TO INVENTORY PROBLEMS THAT ARE INCREASING AT PT. INDUSTRY PLYWOOD TJIPTA RIMBA DJAJA Harahap, Tramilta Salsabila; Dur, Sajaratud; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.525

Abstract

Every company that carries out businees activities generally has inventory. Inventories include raw materials, semi-finished goods or finished goods. Inventories of goods in the company have increased and decreased. An increase in inventory can cause losses, because the cost of storing and maintaining in the warehouse is too high. While a decrease in inventory can result in a shortage of inventory. The purpose of this research is to determine the level of optimal inventory in PT. Industry Plywood Tjipta Rimba Djaja. Using the optimal control theory model and analyzing the stability of the dynamic differential equation, to find the optimal inventory level. Obtained optimal inventory levels achieve stability at the time . For the planning length of 12 months includes: raw material inventory (logs sengon and rambung), production (finished materials in process) and finished plywood or plywood products that are in the warehouse. From this research optimal control theory can be applied in PT. Industry Plywood Tjipta Rimba Djaja to optimize inventory on the problem of increasing inventory.
IMPLEMENTATION OF EXPONENTIAL SMOOTHING METHOD IN THE NUMBER OF DIVORCE RATE IN INDONESIA Yuliani, Eva; Rakhmawati, Fibri; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 3 No. 1 (2022)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v3i1.526

Abstract

The divorce rate in Indonesia from 2007 to 2020 has increased. The increase in the divorce rate in Indonesia has an impact on the mental condition of children. The purpose of this study is to find out the results of the number of divorce rates in Indonesia in 2021-2022 and to see which accuracy is more accurate between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method. Comparison between the Double Exponential Smoothing Method and the Triple Exponential Smoothing Method which has more accurate forecasting, namely the Double Exponential Smoothing Method with parameter values and the MAPE value of 14.27%, the equation for forecasting the divorce rate in Indonesia is . The results of the study show that the divorce rate in Indonesia will increase in 2021 with 285,903 cases and decrease in 2022 with 268,649 cases.
APPLICATION OF THE FORWARD RECURSIVE EQUATION MODEL ON WASTE TRANSPORTATION ROUTES IN MEDAN JOHOR DISTRICT USING DYNAMIC PROGRAMMING ALGHORITHM Hanum, Syarifah; Azura, Maudya Nur; Sari, Dinda Permata; Husein, Ismail
Journal of Mathematics and Scientific Computing With Applications Vol. 5 No. 1 (2024)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v4i1.854

Abstract

Waste problems often occur in big cities such as Jakarta, Surabaya, Medan, Bandung, Yogyakarta and Semarang. Urban waste is waste produced by human activities in urban areas, including various types of materials such as plastic, paper, metal and organic materials. Therefore, waste needs to be collected, transported and disposed of immediately to prevent negative impacts on the environment. With the increase in population in urban areas, it is likely that the amount of waste will also increase. The solution that can be used to solve this problem is to optimize the distance using a dynamic programming model forward recursive equation algorithm. The application of dynamic programming can be used to solve various problems such as determining the shortest distance, optimal flow, task or resource scheduling, production planning, network optimization, and problems in research and development projects. Based on determining the optimal route for transporting waste in Medan Johor District using the dynamic programming algorithm forward recursive equation model, the total distance is 26,2km.
ANALYSIS OF BASIC REPRODUCTION NUMBER DENGUE FEVER (DBD) SPREAD THE SIR MODEL USING VACCINE IMPACT IN MEDAN CITY Dwi Lestari, Riani; Husein, Ismail; Nasution, Hamidah; Suci Rachmadini, Haliza
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.989

Abstract

Dengue hemorrhagic fever (DHF) is a dangerous disease that is easily transmitted through mosquito bites of the species Aedes aegypti or Aedes albopictus. Dengue hemorrhagic fever (DHF) in Indonesia is an endemic disease and a serious health problem that causes many deaths. Based on the data obtained, the incidence of DHF is still high, especially in Medan City with its high population density and mobility. It is therefore necessary to have more intensive efforts to prevent DHF, one of which is by administering vaccines. Therefore, vaccination is used as an option that is commonly used to control the spread of dengue hemorrhagic fever (DHF). The purpose of this research is to get a mathematical model with the effect of the vaccine, to find out the analysis of the mathematical model with the effect of the vaccine, and to find out the analysis of the reproduction number () with the effect of the vaccine. TheSIR model was used to analyze the Basic Reproduction Number. According to this study, the basicreproduction number of DHF
Application Of Nearest Neighbor Analysis Methods For The Distribution Of Small Storks (Egretta Garzetta) In The Mangrove Area North Sumatra Trima Lestari; Fibri Rakhmawati; Ismail Husein
RANGE: Jurnal Pendidikan Matematika Vol. 5 No. 2 (2024): Range Januari 2024
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.Vol5.Iss2.5980

Abstract

The penetrating waterbird on the east coast of North Sumatra is Egretta Garzetta. It is a kind of water bird that lives in water or parts of wetlands. The presence of waterbirds is an important indicator to evaluate the environmental quality and productivity of wetlands. Bird distribution patterns are needed to overcome problems related to habitat, such as food availability and population size. This study aims to apply themethod Nearest Neigbord Analysis to the distribution pattern of Egretta Garzetta in the Mangrove area of North Sumatra. This study uses a quantitative approach to the type of applied research (Applied Research). The type of data used in this research is secondary data. Analysis of the data in this study using Nearest Neighbor Analysis. The pattern of the spread of Egretta Garzetta in the Mangrove areas in North Sumatra have clumped pattern (clustered).The results from Nearest Neighbor Analysis show that the index value of the clustered distribution pattern can be caused by the abundance of food sources in a habitat.
Penerapan Metode Naïve Bayes Untuk Mendiagnosis Penyakit Pohon Karet Di PT. Bridgestone Aek Tarum Efriliya Hafni Yuswinda; Ilka Zufria; Ismail Husein
Journal of Information Technology Vol 4 No 1 (2024): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v4i1.876

Abstract

Penyakit tanaman karet menyerang akar, batang, daerah sadap, dan daun. Faktor penyebab rendahnya perkebunan karet adalah karena keterbatasan informasi dan pengendalian penyakit pohon karet, sehingga perlu adanya suatu sistem untuk meningkatkan pengendalian penyakit pohon karet dengan bantuan sistem ini. Saat ini tanpa adanya sistem hanya di selesaikan oleh seorang pakar yang dianggap berhasil jika mampu mengambil keputusan seperti seorang pakar. Pembuatan sistem ini dapat membantu seorang pegawai dalam mendiagnosa penyakit pada tanaman karet. Pembuatan sistem ini diperlukan seorang yang ahli dalam bidangnya untuk mendapatkan data yang akurat mengenai informasi penyakit tanaman karet, data yang digunakan yaitu 22 gejala dan 7 penyakit. Pada penelitian ini metode yang digunakan adalah Naive Bayes. Metode Naive Bayes bekerja dengan cara mencari nilai probabilitas munculnya penyakit tanaman karet. Aplikasi ini dikembangkan berbasis Android dengan menggunakan bahasa pemrograman Java pada aplikasi Android Studio. Dari penelitian ini di dapati bahwa penyakit jamur akar putih mempunyai 7 gejala dan pilihan tingkat keyakinan dalam setiap gejala antara 0 dan 1. Kemudian penyakit jamur akar putih mempunyai hasil nilai yang paling terbesar yaitu 0,0000002911.
ANALYSIS OF BASIC REPRODUCTION NUMBER DENGUE FEVER (DBD) SPREAD THE SIR MODEL USING VACCINE IMPACT IN MEDAN CITY Dwi Lestari, Riani; Husein, Ismail; Nasution, Hamidah; Suci Rachmadini, Haliza
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.989

Abstract

Dengue hemorrhagic fever (DHF) is a dangerous disease that is easily transmitted through mosquito bites of the species Aedes aegypti or Aedes albopictus. Dengue hemorrhagic fever (DHF) in Indonesia is an endemic disease and a serious health problem that causes many deaths. Based on the data obtained, the incidence of DHF is still high, especially in Medan City with its high population density and mobility. It is therefore necessary to have more intensive efforts to prevent DHF, one of which is by administering vaccines. Therefore, vaccination is used as an option that is commonly used to control the spread of dengue hemorrhagic fever (DHF). The purpose of this research is to get a mathematical model with the effect of the vaccine, to find out the analysis of the mathematical model with the effect of the vaccine, and to find out the analysis of the reproduction number () with the effect of the vaccine. TheSIR model was used to analyze the Basic Reproduction Number. According to this study, the basicreproduction number of DHF
Peramalan Jumlah Kasus Tuberkulosis di Rumah Sakit Umum Haji Medan dengan Metode Support Vector Regression-Particle Swarm Optimization Hsb, Sumawiyah; Husein, Ismail; Widyasari, Rina
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 2 (2024): Menjembatani Matematika dan Pendidikan Matematika menuju Pemanfaatan Berkelanju
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3668

Abstract

Tuberculosis is an infectious disease that is the leading cause of poor health and one of the major causes of death around the world, in 2021 north Sumatra ran sixth as the province with the highest Tuberculosis rate after Provinsi Jawa Barat, Jawa Tengah, Jawa timur, DKI Jakarta, and Banten. This may result from an unhealthy environment, an increase in nutrition events, the appearance of HIV/AIDS. Hence, this study aims to create a forecast model by the method of regression support (SVR) with an optimist Particle Swarm Optimazion (PSO). The initial stage of the study involves analyzing the data of those with tuberculosis that begins by calculating the correlation between data with the underlying factors. Then do the preprocessing to initial data value, selecting the number of features and normalization of data. After the analysis stage, regression calculations are made to compare the value of browsing and actual value using the Support Vector Regression (SVR) method of Support Vector Regression (SVR) with the Particle Swarm Optimization (PSO) so that a good fortune-giving result is obtained. The results of this study were obtained from an analysis with a value of MAPE = 35.85.
Peramalan Penerimaan Pajak Kendaraan Bermotor Menggunakan Metode Triple Exponential Smoothing di Sumatera Utara Dewi, Ratna Sri; Jaya, Indra; Husein, Ismail
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 2 (2024): Menjembatani Matematika dan Pendidikan Matematika menuju Pemanfaatan Berkelanju
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3724

Abstract

At this time, motorized vehicles have become a primary need. Therefore, it is necessary to take into account revenues for motor vehicle taxes so that the government has a good motor vehicle tax calculation produce is one aspect of revenue management that is very helpful in achieving the goals set by the government. Therefore, it is necessary to estimate motor vehicle tax revenues correctly so that it can be seen how much revenue will be managed properly. The purpose of this research is to get the forecast value of motor vehicle tax revenue for the next year with a low MAPE. The method used is the Triple Exponential Smoothing method with a constant alpha = 0,3 and obtains a MAPE of less than 10 % which means it is very good. The results of this study there are several districts / cities that experienced a decrease in motor vehicle tax revanues.
Implementation of Operational Competitive Rating Analysis (OCRA) Method in Determining the Best E-Commerce Application Intan Irfanilia; Ismail Husein
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 8 No. 2 (2025): Innovasi dalam Matematika dan Pembelajarannya
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v8i2.5547

Abstract

The development of e-commerce in Indonesia is getting more and more rapid, with various platforms that offer the best services for its users. This research aims to analyze and rank the best e-commerce platforms based on several key criteria, namely transaction speed, ease of use, operational costs, security, and user service support. The method used in this study is Operational Competitiveness Rating Analysis (OCRA), which evaluates alternatives based on criteria with a linear preference approach. The results of the study show that Shopee ranks first with the highest total preference, followed by Tokopedia, Lazada, Blibli, and Bukalapak. This shows that Shopee is superior in the aspects assessed compared to other platforms. Based on these findings, it is recommended for other e-commerce platforms to improve the quality of service to increase their competitiveness. This research can also be a reference for users in choosing an e-commerce platform that suits their needs
Co-Authors Abdi, Hamdan Achyar Zein, Achyar Adella Aulia Mukti Adrya, M Rifqi Agusmanto J.B. Hutauruk Al Rizky, Muhammad Furqan Anandara, Aurelia Andayani Andini, Qonita Putri Anggraini, Arizka Anggreini, Yopie Puspita Arianti, Mei Yunina Arya Impun Diapari Lubis Astuti, Widya Tantri atika nadila Aulia, Nurissa Ayunda, Afrila Azura, Maudya Nur Azura, Silva Batubara, Nuriman Astuti Cindy Artika Cipta, Hendra Dalimunthe, Riska Aulia Dedy Juliandri Panjaitan Dewi, Ratna Sri Dewi, taslima Dinda Chairani Ditta Arsyilviasari Dur, Sajaratud Dur, Sajaratud Dur, Sajaratud Dur, Sajaratud Dwi Anggraini Dwi Lestari, Riani Efriliya Hafni Yuswinda Elis, Elis Citra Eliza, Novi Eva Yuliani Fadhillah, Nurul Faigle, Ulrich Faigle, Ulrich Fatharani Syahfitri Febrianti, Zelika Febriyanti, Chairina Fransiska, Sintia Frischa, Ledya Hanifah Dara Puspita Hanum, Syarifah Harahap, M. Rivan Febriansyah Harahap, Tramilta Salsabila Hasibuan, Hani Maulida Hendra Cipta Heni Pujiastuti Hidayah, Mega Nur Hsb, Sumawiyah Hutauruk, Agusmanto Ikhsan, Ramadhani Al Ilka Zufria Indah Hatika Lubis Indra Jaya Indra Jaya Intan Irfanilia Jihan Adelia Nasution Jumiati, Ety Junita Fadilah Jusmita Weriza Karadeniz, Ahmet Serdar Karadeniz, Mehmet Fatih Khairan marzuki Khairina Khairina, Khairina Khairul Purqon Khairun Nikmah Khairun Nisa Khoiriah Syahfitri Lingga, Eva Ridya Wanti Lubis, Arya Impun Diapari M Fakhariza M. Abdul Rizki Marwan Marwan Maya Sari Maysarah, Maysarah Mhd Ikhsan Rifki Mhd. Joni Marpaung Mingka, Muhammad Farhan Mutiara Amanda Nafila Zendhia Ulhaq Nasution, Hamidah Nasution, Hamidah Nasution, Hamidah . Nasution, Yanisa Noranizamardia Noranizamardia Novianti Nuhrul Huda, Ella Nur Aisyah Nur Atsilah Hasibuan Nur Hafizah Nuraini Ade Putri Lubis Nurmala, Anggi Nurul Huda Prasetya Nurul Khoiriah Hasibuan Ong, Aldi Maulana Pane, Maahfuzha Pane, Mahfuzha Panjaitan, Adelia Nopiazinda Br Panjaitan, Rio Anggara Pasaribu, Sarif Muda Pasya, Aulia Mumtazah Pratidina, Maulia Puan Salwa Afifah Putri Harahap, Riska Evita Putri Nilam Sari Rahayu, Atika Rahma Utami Rahmadani, Artika Rahmat Hutapea Rakhmawati, Fibri Rakhmawati, Fibri Rambe, Uci Kirani Riezky Meiliza Rima Aprilia Rima Aprilia Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widya Sari Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Riningsih, Novia Rinjani, Nazwa Riri Syafitri Lubis Ritonga, Muhammad Iqbal Rizka Ramadani Sam Rizky, Fadhlan Roshihan Mawazzi Lubis RR. Ella Evrita Hestiandari Sabrina, Ladia Sabrina, Ladia Sajaratud Dur Sajaratud Dur Sajaratud Dur, Sajaratud Saputri, Ika Junia Saragih, Dewi Kentri Sari, Dinda Permata Sari, Linda Kumala Sari, Rina Filia Sari, Rina Widya Seprina, Dita Shedriko, Shedriko Siahaan, Maharani Putri Adam sihombing, dame ifa Sihombing, Dame Ifa Sinaga, Husnia Amro Br Sirait, Nurul Yusro Siregar, Machrani Adi Putri Siregar, R. Maisaroh Rezyekiyah Siti Aisyah Sitompul, Apri Yani Sri Ulfa Rahayu Suci Rachmadini, Haliza Syafitriani Syari, Isma Aulia Zamaakh Tamimi, Allifiyani Tri Kartika Chaniago Trima Lestari Umami, Fauzah Wahyu Dianti, Ika Thrisna Weber, Gerhard Wilhelm Widyasar, Rina Widyasar, Rina Widyasari, Rina Widyasari, Rina Widyasari, Rina Wulandari, Hamidah Yumna, Yaumi Yusra Habibah Laily