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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI CAUCHY: Jurnal Matematika Murni dan Aplikasi 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 Journal of Comprehensive Science Journal of Analytical Research, Statistics and Computation Bersatu: Jurnal Pendidikan Bhinneka Tunggal Ika Jurnal Pengabdian Masyarakat Jurnal Akuntansi Hukum dan Edukasi
Ismail Husein, Ismail
Department Of Mathematics, Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
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Analisis Resesi Ekonomi Indonesia Selama Pandemi Covid-19 Menggunakan Regresi Robust MM-Estimator Seprina, Dita; Husein, Ismail; Rakhmawati, Fibri
Justek : Jurnal Sains dan Teknologi Vol 6, No 4 (2023): Desember
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v6i4.20095

Abstract

Abstract:  This research discusses how to analyze the economic recession in Indonesia during the Covid-19 pandemic in 2020. Pandemic is one of the causes of economic recession due to inflation and drastic economic decline. The pandemic in question is caused by the spread of the Covid-19 virus which is sufficient and easy to infect humans in all age classes. As a result of the recession, the welfare of the community has decreased. In this study, researchers will analyze Indonesia's economic recession during the Covid-19 pandemic using real PRDB data. Real GRDP data was chosen because it will facilitate research because the data has a more specific value to be studied. This research uses quantitative research methods with Robust MM-Estimator regression. Robust regression is one of the methods in regression that serves to find the lowest error data. MM- Estimator is a combination of M- Estimator and S- Estimator so that it is resistant and has greater efficiency. The results of this research conducted using R Studio software show that there are outlier values in Indonesia's real GRDP data in 2020. Identified as outliers are observations 1, 4, 11, 13, 15, and 16.Abstrak: Penelitian ini bertujuan untuk menganalisis data PDRB riil Indonesia tahun 2020 sebagai indikator resesi ekonomi dan menunjukkan daerah-daerah mana saja yang memiliki penanganan terbaik di sektornya masing-masing. Daerah tersebut akan menjadi acuan bagi daerah-daerah lain untuk mempersiapkan diri bila Indonesia kembali mengalami resesi ekonomi. Penelitian ini menggunakan metode penelitian kuantitatif dengan regresi Robust MM-Estimator. Regresi Robust merupakan salah satu metode didalam regresi yang berfungsi untuk mencari data error terendah. MM- Estimator merupakan penggabungan antara M- Estimator serta S- Estimator sehingga bersifat resisten dan memiliki efisiensi yang lebih besar. Hasil dari penelitian ini dilakukan dengan menggunakan software R Studio menunjukkan bahwa terdapat nilai pencilan pada data PDRB riil Indonesia tahun 2020. Teridentifikasi sebagai pencilan yaitu amatan ke-1, 4, 11, 13, 15, dan 16.
Analisis Penjualan Produk Dengan Metode Winter Eksponensial Smoothing Dan Even Based Tri Kartika Chaniago; Rina Filia Sari; Ismail Husein
SAINTIFIK Vol 10 No 2 (2024): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v10i2.499

Abstract

Penelitian ini membahas tentang peramalan penjualan produk. Peramalan penjualan digunakan untuk mengatur perencanaan operasional produksi dan distribusi yang berhubungan dengan biaya yang harus dikeluarkan dalam memproduksi suatu produk. Untuk melakukan peramalan digunakan metode Winter eksponensial smoothing dan event based. Berdasarkan penerapan dari kedua metode tersebut ditemukan bahwa nilai peramalan terhadap 4 varian produk yaitu produk A dengan tingkat akurasi 0,18%, produk B dengan tingkat akurasi 0,9%, produk C dengan tingkat akurasi 0,5 %, dan produk D dengan tingkat akurasi 0,75% yang dihasilkan dari penerapan Winter eksponensial smoothing, sehingga metode Winter eksponensial smoothing lebih baik diterapkan pada penjualan produk di PT. Z untuk menganalisis system penjualan produk.
Penerapan Geographically Weighted Zero-Inflated Poisson Regression pada Jumlah Kasus Tuberkulosis di Provinsi Sumatera Utara Khairun Nikmah; Riri Syafitri Lubis; Ismail Husein
SAINTIFIK Vol 10 No 2 (2024): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v10i2.502

Abstract

Tuberkulosis adalah penyakit menular yang disebabkan oleh infeksi dari bakteri Mycrobacterium Tuberculosis yang masuk kedalam paru-paru dan mengakibatkan penderita mengalami gangguan sesak napas yang disertai dengan batuk terus menerus.. Perbedaan karakteristik geografis, ekonomi, sosial dan budaya antar lokasi menyebabkan penyebaran covid-19 semakin luas. Penelitian ini bertujuan untuk melihat faktor pengaruh jumlah kasus tuberkulosis di setiap kabupaten/kota menggunakan metode GWZIPR, dimana merupakan pengembangan dari metode GWR dan ZIP. Hasil penelitian menunjukkan bahwa faktor-faktor yang berpengaruh terhadap kasus tuberkulosis di setiap kab/kota terbagi menjadi 1 kelompok berdasarkan variabel signifikan pada model log (poisson state) dan logit (zero state) yaitu semua variabel signifikan pada model log dan logit tersebar di 33 kab/kota yaitu variabel persentase kepadatan penduduk, persentase jumlah puskesmas, persentase jumlah dokter, persentase penduduk miskin dan persentase tenaga perawat.
Mustahiq (Zakat Recipient) Determination Application with Analytic Hierarchy Process Model Husein, Ismail; Zein, Achyar; Sabrina, Ladia
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11825

Abstract

. Zakat is a rule in Islam and is included in the third pillar of Islam related to property. Zakat has a purpose, namely to clean our wealth and zakat can cleanse the human heart from greed, miserliness, and worldly nature. Zakat also helps the implementation of social security programs by balancing the status between communities, so that there is no social inequality that is too far in the gap between rich and poor. Zakat processing must be managed as well as possible by the amil zakat agency, which is currently the institution that manages zakat, namely the National Amil Zakat Agency (BAZNAS). Therefore, to achieve this goal, BAZNAS must be able to determine which parties are entitled to receive zakat, so that it is right on target.This study aims to determine the determination of mustahiq by applying the application through the analytic hierarchy process (AHP) model.The results obtained in this study contained five criteria modeled in the analytic hierarchy process (AHP). The main criteria factors that influence the determination of mustahiq are the criteria for workers with a result of 49.5%, then the second factor that affects is the number of dependents of the family who get a result of 24.1%, after that the third factor that influences is income (income) with a result of 16.6 %, then the fourth factor is home ownership with a yield of 6.1% and the last factor, namely age, has a result of 3.4%.
COMPARISON OF LASSO AND ADAPTIVE LASSO METHODS IN IDENTIFYING VARIABLES AFFECTING POPULATION EXPENDITURE Rahayu, Atika; Husein, Ismail
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12558

Abstract

Abstract: Since 2019, the difference in the increase in per capita expenditure of the population has continued to decline, and the most significant was only IDR 18,464 in 2021, indicating that the level of consumption of the population has not improved significantly, and the turnover of the community's economy is also not good. Multiple linear regression is more appropriate than other types of linear regression because it considers the influence of more than one independent variable on the dependent variable. However, problems may arise in the use of multiple linear regression, such as multicollinearity. To overcome this problem, other methods such as LASSO and adaptive LASSO should be used. Both methods have the ability to overcome multicollinearity between independent variables, thereby reducing the risk of misestimation. Nevertheless, the LASSO and Adaptive LASSO methods have differences in selecting important variables, so it is necessary to compare which method is better in terms of identifying influential variables. Based on the MSE and R-square comparison values, it is concluded that the Adaptive LASSO method model is the best model with a lower MSE value and a higher R-square value of 93%. The variable selection results of the Adaptive LASSO model are population size, number of households, average number of household members, constant price GDP, confirmed cases of COVID-19, human development index, percentage of the poor population, university student participation rate, and open unemployment rate.
Cocoa price prediction in North Sumatra using Singular Spectrum Analysis (SSA) Algorithm Fransiska, Sintia; Husein, Ismail
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12559

Abstract

The implementation of agricultural development is basically aimed at increasing the welfare of the people, especially farmers, providing a source of foreign exchange through exports, supplying food and industrial raw materials, alleviating poverty, providing employment and improving people's income. Cocoa is a leading commodity which is a source of income for farmers in North Sumatra. Price fluctuations sometimes make farmers suffer losses, so it is necessary to make a cocoa price prediction to anticipate future losses. This study aims to determine the prediction results of cocoa prices in North Sumatra in 2023 and the accuracy of the method used. The results of the study obtained the prediction of cocoa prices in North Sumatra Province in 2023 using the Singular Spectrum Analysis (SSA) method from January to December, respectively, Rp. 34876 in January, February prediction of Rp. 33967, March prediction of Rp. 33446, in April RP 33725, prediction in May of Rp. 33986, prediction in June of Rp 33916, in July Rp. 34196, predictionin August of Rp. 34841, prediction in September of Rp. 35228, in October of Rp. 3479, in November Rp 344517, the December prediction is Rp 34770 with a prediction accuracy level based on the standard MAPE value of 0.96%. The MAPE value obtained indicates that the SSA approach with Windows length 18 and 14 groups is very accurate for prediction cocoa price in North Sumatra Province because it is less than 10% and close to 0%.
Optimization of Dimsum Production Profits Using the Branch and Bound Method Andini, Qonita Putri; Husein, Ismail
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.14026

Abstract

The dimsum industry in Indonesia is currently experiencing very significant development, because many businesses offer processed dimsum products for convenient consumption. The characteristics of dimsum are varied and suitable to be served as a snack. This has created an increasing number of dimsum enthusiasts, seen from the emergence of restaurants serving dimsum menus originating from China. The aim of this research is to determine the maximum profit achieved in making dimsum using the Branch and Bound technique. Using the branch and bound method because it is a mathematical model which is a development of a linear program, where all decision variables must be integers, this method limits the optimal solution to a whole by creating an upper and lower branch for each solution which has a fractional value. to be a round value so that each restriction will produce a new branch. Based on the research results, it can be concluded that the optimal production level using the Branch And Bound method is IDR 19,054,950 per month. When compared with the profits before using the Branch and Bound method, the profits obtained were IDR 18,800,000. This shows that by using the Branch and Bound method, the profit of the Mikaila Bakery cake shop increases by IDR. 1.3% or around Rp. 254,950 per month. Sensitivity analysis shows that profits will remain at optimal conditions if changes in the objective function coefficients are less than or equal to the objective function coefficients in the initial model.
Analysis of Palm Oil Production Planning for Biodiesel Needs in North Sumatra Azura, Silva; Husein, Ismail
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.14027

Abstract

Palm oil has become a leading product in the plantation business in Indonesia. Currently, Indonesia has become the country with the largest palm oil production capacity in the world. With this production capability, the opportunity to diversify energy made from palm oil is very possible. The analysis of this study was carried out using secondary data to find out the extent of the potential of palm oil as the main source of biodiesel raw materials in Indonesia. The results of the analysis state that with the production and expansion of oil palm land very massive, energy diversification is a relevant step and very feasible. The role of the government through the export levy tariff policy also determines palm oil consumption for the benefit of the domestic market.
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.
Co-Authors Abdi, Hamdan Achyar Zein Achyar Zein, Achyar Adella Aulia Mukti Adrya, M Rifqi Agusmanto J.B. Hutauruk Al Rizky, Muhammad Furqan Andayani Andini, Qonita Putri Anggraini, Arizka Anggreini, Yopie Puspita Arya Impun Diapari Lubis Arya Impun Diapari Lubis atika nadila Aurelia Anandara Ayunda, Afrila Azura, Maudya Nur Azura, Silva Cindy Artika Dalimunthe, Riska Aulia dame ifa sihombing Dedy Juliandri Panjaitan Dewi, Ratna Sri Dewi, taslima Dinda Chairani Dur, Sajaratud Dwi Anggraini Dwi Lestari, Riani Efriliya Hafni Yuswinda Elis Citra Elis Ella Nuhrul Huda Eva Yuliani Fadhillah, Nurul Faigle, Ulrich Fatharani Syahfitri Fauzah Umami Febrianti, Zelika Fransiska, Sintia Hamidah Nasution Hamidah Nasution Hamidah Nasution Hanifah Dara Puspita Hanum, Syarifah Harahap, Tramilta Salsabila Hasibuan, Hani Maulida Hendra Cipta Heni Pujiastuti Hidayah, Mega Nur Hsb, Sumawiyah Ika Junia Saputri 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 Ladia Sabrina Ledya Frischa Linda Kumala Sari Lingga, Eva Ridya Wanti M Fakhariza M. Abdul Rizki Marwan Marwan Maya Sari Maysarah, Maysarah Mei Yunina Arianti Mhd. Joni Marpaung Mingka, Muhammad Farhan Nafila Zendhia Ulhaq Nasution, Hamidah . Noranizamardia Noranizamardia Novianti Nur Atsilah Hasibuan Nur Hafizah Nuraini Ade Putri Lubis Nuriman Astuti Batubara Nurissa Aulia 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 Puan Salwa Afifah Putri Harahap, Riska Evita Rahayu, Atika Rahma Utami Rahmadani, Artika Rahmat Hutapea Rakhmawati, Fibri Riezky Meiliza Rima Aprilia Rima Aprilia Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari Rina Filia Sari Rina Filia Sari Rina Widya Sari Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Riningsih, Novia Rinjani, Nazwa Riri Syafitri Lubis Rizka Ramadani Sam Rizky, Fadhlan Roshihan Mawazzi Lubis RR. Ella Evrita Hestiandari Sabrina, Ladia Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur, Sajaratud Sari, Dinda Permata Sari, Rina Widya Seprina, Dita Shedriko, Shedriko Siahaan, Maharani Putri Adam 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 Ulrich Faigle Wahyu Dianti, Ika Thrisna Weber, Gerhard Wilhelm Widya Tantri Astuti Widyasar, Rina Widyasar, Rina Widyasari, Rina Widyasari, Rina Wulandari, Hamidah Yaumi Yumna Yusra Habibah Laily