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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI CAUCHY: Jurnal Matematika Murni dan Aplikasi Kubik JURNAL PENGABDIAN KEPADA MASYARAKAT Edumatsains ZERO : Jurnal Sains, Matematika dan Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Desimal: Jurnal Matematika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Justek : Jurnal Sains Dan Teknologi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Zero : Jurnal Sains, Matematika, dan Terapan JISTech (Journal of Islamic Science and Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika MES: Journal of Mathematics Education and Science Jurnal Varian JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Jatilima : Jurnal Multimedia Dan Teknologi Informasi Mandalika Mathematics and Educations Journal G-Tech : Jurnal Teknologi Terapan Range : Jurnal Pendidikan Matematika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Computer Networks, Architecture and High Performance Computing KUBIK: Jurnal Publikasi Ilmiah Matematika Journal of Information Technology (JIfoTech) Leibniz: Jurnal Matematika Jurnal Info Sains : Informatika dan Sains INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Journal of Mathematics and Scientific Computing With Applications Journal of Community Development and Disaster Management Jurnal Pijar MIPA Journal of Comprehensive Science Abdimas Indonesian Journal Journal of Innovation and Sustainable Empowerment Journal of Analytical Research, Statistics and Computation Bersatu: Jurnal Pendidikan Bhinneka Tunggal Ika Jurnal Pengabdian Masyarakat MAXIMAL Jurnal Akuntansi Hukum dan Edukasi
Ismail Husein, Ismail
Department Of Mathematics, Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Egarch Model Prediction for Sale Stock Price Ismail Husein; Machrani Adi Putri Siregar; Arya Impun Diapari Lubis; Rima Aprilia
Jurnal Varian Vol 6 No 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v6i1.1975

Abstract

Stock is an investment in the capital market that is very promising for investors. Investors can also get high returns from the shares invested. However, this stock price is not always stable, it can go up and down drastically. The purpose of this study is to predict stock prices because they often experience instability. The method used in this research is using the Exponential generalized autoregressive conditional heteroscedasticity (EGARCH) model with the Quasi Maximum Likelihood (QML) method. The result of this research is the implementation of this model. The EGARCH model used is the stock price index model that is formed, namely the autoregressive integrated moving average (ARIMA) (0, 1, 2) EGARCH (1.4). The conclusion from the results of the research that predictions using the ARIMA model (0, 1, 2) EGARCH (1, 4) is the best model in accommodating the asymmetric nature of the volatility of the stock price index. The results of this egarch model show more optimal prediction results seen from an error of 3% compared to other modes such as the arch model and the GARCH model.
PENERAPAN METODE FUZZY TIME SERIES-MARKOV CHAIN DALAM PERAMALAN CURAH HUJAN SEBAGAI JADWAL TANAMAN PADI Yusra Habibah Laily; Fibri Rakhmawati; Ismail Husein
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.235

Abstract

Rice plants are plants that depend on rainfall because it affects the productivity and quality of rice plants. The purpose of this study is to forecast rainfall in order to determine the right time to plant rice. This study uses the Fuzzy Time Series-Markov Chain method which is a hybrid Fuzzy Time Series method with a markov chain stochastic process. This study uses monthly rainfall data in Kab. Mandailing Christmas from January 2017- December 2022 in mm (millimeter). The data was taken online from the official BPS-North Sumatra website. The results showed that the Fuzzy Time Series-Markov Chain method has a MAPE value of 4.30% which means it has a very good forecasting accuracy value because it is less than 10%. So it can be concluded that forecasting with FTS-MC is a fairly good method in predicting rainfall so that it can forecast for the following month.
ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU TANDAN BUAH SEGAR (TBS) DENGAN METODE SIMULASI MONTE CARLO Cindy Artika; Sajaratud Dur; Ismail Husein
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.241

Abstract

The development of palm oil production is quite rapid in Indonesia. The method used to estimate inventory costs in this study is the Monte Carlo Simulation method. Monte Carlo simulation is used in structuring optimal raw material policies. The purpose of this research is to predict and optimize raw material inventory costs for the future. The results of the total cost of raw material inventory by Monte Carlo Simulation Calculations are smaller than the total cost of inventory by company calculations. The total cost of preparation using Monte Carlo Simulation Calculations is Rp. 16,873,743,694. Meanwhile, the total calculation preparation costs obtained by the company amounted to Rp. 17,207,020,022, and savings of Rp. 333,276,328
PELATIHAN JARIMATIKA PADA MASYARAKAT DESA PANTAI CERMIN KANAN Rima Aprilia; Rina Widyasari; Rina Filia Sari; Hendra Cipta; Ismail Husein; Sri Ulfa Rahayu
AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 7 No. 1 (2023): Amaliah: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v7i1.2304

Abstract

Berhitung dalam matematika merupakan tantangan yang harus dikuasai oleh siswa sekolah dasar. Permasalahan yang dihadapi adalah matematika dan berhitung dianggap sebagai pelajaran menakutkan dan sulit, sehingga siswa malas dalam mempelajarinya. Berhitung merupakan dasar dari matematika yang dapat di aplikasikan pada kehidupan sehari-hari. Pelaksanaan pengabdian masyarakat di Desa Pantai Cermin Kanan ini untuk memperkenalkan teknik berhitung pada masyarakat dengan menggunakan jari yang dikenal dengan jarimatika. Teknik ini memanfaatkan jari-jari tangan untuk menyelesaikan permasalahan aritmatika yang dalam hal ini merupakan proses berhitung yaitu tambah, kurang, kali dan bagi. Metode pelaksanaan dilakukan dengan pengenalan, penyampaian materi, latihan dan tantangan serta evauasi. Dari kegiatan yang dilakukan, para peserta dapat mengikuti kegiatan dengan baik dan antusias, dimana jarimatika sangat efektif dilakukan dalam menghitung terutama memberikan visualisasi proses berhitung, sehingga para peserta dengan mudah melakukannya.
DETERMINATION OF FACTORS INFLUENCING DRUG USE USING THE FUZZY AHP METHOD AT THE NORTH SUMATRA PROVINCIAL NATIONAL NARCOTICS AGENCY (BNNP) Roshihan Mawazzi Lubis; Ismail Husein
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.385

Abstract

The phenomenon of drug abuse is primarily observed within the population characterized by experimental drug use, with a particular emphasis on individuals who are actively employed. Several factors, such as socioeconomic status and peer influence, have been identified as influential contributors in the occurrence of drug misuse. The objective of this study is to ascertain the determinants that impact individuals engaged in drug usage through the application of the Fuzzy Analytical Hierarchy Process (AHP) technique. The data for this research is derived from internal agencies, which aim to identify the elements that contribute to drug users' susceptibility to addiction and the subsequent development of drug dependency in individuals. The factors included in this study encompass Environment ( ), Family ( ), Economy ( ), Education ( ), and Personality ( ). The utilization of Fuzzy Analytic Hierarchy Process (AHP) for conducting data analysis methodologies. The AHP method yielded a value of λ=8.927, a CI of 2.65, and a CR of 87.39%. Moreover, during the Fuzzy Analytic Hierarchy Process (AHP) phase, it was determined that the primary determinant of drug abuse is  (environment), exhibiting the highest average score of 0.8321, equivalent to 83.21%, in comparison to other components
Analisis Strategi Pemasaran Transportasi Online Menggunakan Teori Permainan Indah Hatika Lubis; Ismail Husein; Rima Aprilia
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.32064

Abstract

Advances in information and communication technology that are growing rapidly also bring influence in the field of transportation. It can be seen with the emergence of online transportation applications that help people so that it can be easier to order fast and efficient transportation in reaching various places. Along with the many online transportation applications that appear, this makes competition between online transportation increase. For this reason, online transportation companies need the right and best strategy to reach consumer profits and interests. The purpose of this research is to analyze competitive strategies based on optimal online transportation marketing strategies. The solution that can be used for this problem is to use the Game Theory method. Game Theory method is an approach or technique used to analyze the situation of interaction between two or more people or entities that have conflicting interests in choosing the action to be performed. The results of the research obtained show competition between Gojek and Grab, Gojek's optimal strategy is Security and Promo while Grab is Service and Promo. In the competition of Gojek and InDrive, Gojek's optimal strategy is promo, while InDrive is price. In the Gojek and Maxim competition, the same optimal strategy is Promo. On the competition of Grab and InDrive, Grab's optimal strategy is Security, while InDrive is price. In the competition of Grab and Maxim, Grab's optimal strategy is Promo while Maxim is price. In InDrive and Maxim competition, InDrive's optimal strategy is Price, while Maxim is Promo. So, from the research results, it is concluded that gojek has the most profitable marketing strategy if it uses promos, grab uses service and security, maxim uses promos, and indrive uses prices.
PENERAPAN POISSON INVERSE GAUSSIAN REGRESSION UNTUK MEMODELKAN LAMA RAWAT INAP PASIEN DEMAM BERDARAH DENGUE (DBD) UPTDK. RSU. HAJI MEDAN PEMERINTAHAN PROVINSI SUMATERA UTARA Khairul Purqon; Rina Widyasari; Ismail Husein
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.559

Abstract

Dengue fever is one of the dangerous diseases that can threaten human life if not treated seriously. Dengue hemorrhagic fever is one of the health problems that exist in the community where the number of sufferers tends to increase and the spread is very wide. Dengue hemorrhagic fever (DHF) is a disease caused by infection with the DEN-1, DEN-2, DEN-3 or DEN-4 viruses transmitted to the bite of Aedes aegypti and Aedes Albopictus mosquitoes before it was infected by the dengue virus by dengue sufferers. Aedes aegypti mosquitoes become more infective for 8-12 days after sucking blood from dengue patients before. However, for now only researchers take only a few factors that make the length of stay of dengue patients in UPTDK. RSU. Hajj Medan Government of North Sumtera Province. In this study, the independent variables used were Patient Age Value (),  Platelet value (), Leukocyte value (),  and Hemoglobin value () in UPTDK. RSU. Haji Medan Government of North Sumtera Province using Poisson Inverse Gaussian Regression (PIGR). Poisson Inverse Gaussian Regression (PIGR) is a form of regression from mixed poisson designed on enumeration data with overdispersion cases. Therefore, research using the Poisson Inverse Gaussian Regression method can be carried out. The Poisson Inverse Gaussian Regression model formed is  with a very significant influential variable is the Leukocyte value
Analysis of Tuberculosis (TB) Case Patterns Using the Hurst Exponent Fractal Dimension Method in North Sumatra Maya Sari; Ismail Husein
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 9 No 1 (2024): July
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v9i1.5964

Abstract

Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis. This bacteria is commonly known as Acid Resistant Bacilli (BTA). The Hurst Exponent Fractal Dimension method was used in this work to identify the properties of time series data and fractal patterns in tuberculosis (TB) patients. The Hurst exponent method is calculated by the smallest prime factor that divides the data (pi). This fractal dimension's value is calculated using the Hurst exponent value. Time series data is classified into three groups depending on computation results: random, anti-persistence, and persistence. In the study, three data ranges (n) were obtained from the observed data, namely tuberculosis (TB) patients from July to December 2023 (174, 87, and 29). The value of the Hurst exponent obtained was 0,475 (0<H<0,5) and the value of the fractal dimension obtained was 1,525 (1,5<H<2). Based at the Hurst exponent value and fractal dimension fee, it indicates that the records is anti-persistence. Anti-persistence means that the time series data of cases of tuberculosis (TB) patients which if the data increases at one time, it tends to decrease at the next time and if the data decreases at one time, it tends to increase at the next time.
Estimated North Sumatra Province Poor Population Percentage Using Penalized Spline Semiparametric Approach and Small Area Estimation Jihan Adelia Nasution; Rina Widya Sari; Ismail Husein
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.19265

Abstract

Poverty is one of the many problems that have not been completely resolved by the government in Indonesia, one of which is poverty in the province of North Sumatra. To estimate the percentage of poor people, data is needed in each area using the Small Area Estimation method. Small Area Estimation is used to estimate the parameters of a subpopulation that has a small scope. However, to get a better estimate, you can use an indirect estimation method, one of which is the semiparametric Penalized Spline approach. This method can be used in conjunction with small area estimation because it can connect the two components in the model between the response variable and the predictor variable which is linear and the relationship between the response variable and the predictor variable is non-linear. Based on the small area estimation model with a semiparametric penalized spline approach, the best is found in model 4 with a coefficient of determination value of 0.645 where the value is close to 1, which means the results are good to use. The average poor population in North Sumatra province is estimated at 15.38%, the highest poor population is in Pakpak Bharat at 22.66% and the lowest estimated poor population is in Deli Serdang at 7.51%.
Determining the Shortest Route for LPG Gas Cylinder Distribution Using the Clarke and Wright Savings Algorithm Nur Hafizah; Ismail Husein
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 2 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i2.19269

Abstract

Penelitian ini bertujuan untuk meminimalkan rute yang ditempuh sehingga mengurangi biaya transportasi yang dikeluarkan perusahaan. Hal ini diperlukan karena jalur yang ada di dalam perusahaan saat ini kurang optimal dan dapat menimbulkan kerugian finansial. Solusi yang diusulkan untuk mengatasi masalah penentuan rute distribusi terpendek adalah dengan memanfaatkan Capacitated Vehicle Routing Problem (CVRP) dengan Algoritma Clarke And Wright Savings. Algoritma Clarke And Wright Savings dirancang untuk menyelesaikan berbagai masalah perutean kendaraan, yang biasa disebut dengan masalah perutean kendaraan klasik, berdasarkan konsep yang dikenal dengan konsep penghematan. Berdasarkan temuan penelitian, teridentifikasi tiga rute dengan total jarak 43,48 km dan biaya transportasi Rp. 88.699,2. Melalui penghematan yang diterapkan, diperoleh dua rute baru dengan total jarak 35,98 km dan biaya angkutan Rp. 73.399,2. Dengan demikian, penelitian ini menyimpulkan bahwa Algoritma Clarke And Wright Savings efektif dalam mencapai tujuannya, mengoptimalkan jalur distribusi, dan meminimalkan biaya distribusi dengan lebih efisien dibandingkan jalur perusahaan saat ini .
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 Anggi Nurmala Anggraini, Arizka Anggreini, Yopie Puspita Arianti, Mei Yunina Arya Impun Diapari Lubis Astuti, Widya Tantri atika nadila Aulia, Nurissa Ayunda, Afrila Azizah Wulan Lestari 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 Ginting, Edi Suranta 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 Juwita Samroiyah Pulungan Karadeniz, Ahmet Serdar Karadeniz, Mehmet Fatih Khairan marzuki Khairina Khairina, Khairina Khairul Purqon Khairun Nikmah Khairun Nisa Khoiriah Syahfitri Lingga, Eva Ridya Wanti Lisa Salsabila Sinaga Lubis, Arya Impun Diapari M Fakhariza M. Abdul Rizki Marwan Marwan Maya Sari Maysarah, Maysarah Melinda Aprianingsih 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 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 Riezky Meiliza Rifki, Mhd Ikhsan 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 Uci Kirani Rambe Ulifia Cahaya Hasibuan 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