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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 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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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.
Analisis Beban Kerja Tenaga Rekam Medis Di UPT Puskesmas PB Selayang II Menggunakan Metode FTE Ismail Husein; Fatharani Syahfitri; Dinda Chairani
Bersatu: Jurnal Pendidikan Bhinneka Tunggal Ika Vol 2 No 2 (2024): Maret : Jurnal Pendidikan Bhinneka Tunggal Ika
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/bersatu.v2i2.631

Abstract

Workload analysis is human resource planning which aims to determine energy needs so that organizational goals can be achieved. The number of medical personnel available exceeds actual needs, and this can have a negative impact on employee productivity. Therefore, objective workload measurements are needed based on real conditions in the field. One method that can be used to analyze the target workload is Full Time Equivalent (FTE). Data regarding workload is collected through recording on instruments such as daily logs and interviews, then analyzed and converted into FTE index values. The results of the analysis show that the workload of supervisors and medical record administrators is classified as normal. Thus, the PB Selayang II Medan Selayang Community Health Center has enough medical record personnel to meet the needs of patient medical record files.
Survival Analysis of Recovery Rates in Diabetes Mellitus Patients Using the Kaplan-Meier Method (Case Study: Malahayati Islamic Hospital) Anggreini, Yopie Puspita; Husein, Ismail
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20910

Abstract

Diabetes mellitus (DM) is a major global health issue characterized by insulin hormone deficiencies, leading to rising incidence rates and significant risks for society. This study analyzes survival times of DM patients at Malahayati Islamic Hospital Medan using the Kaplan-Meier method for time-to-recovery estimates and the Log-Rank test to evaluate differences in survival functions. Results indicate that survival estimates range from 0.99238 at day 0 to 0.00000 at day 13. No significant differences were found based on gender, age, disease diagnosis, or support type. However, females and older patients showed slightly longer recovery times, and patients with Type II DM recovered faster than those with Pneumonia and Type II DM. Patients receiving Nebulizer and Oxygen support showed quicker recovery compared to those with Thorax Photo, EKG, and Lab support. 
Modeling The Proportion Of Measles Cases In North Sumatra By The Jack-Knife Partial Least Squares Method Pasaribu, Sarif Muda; Husein, Ismail
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20928

Abstract

Campak masih menjadi masalah kesehatan di berbagai belahan dunia, terutama di negara berkembang, salah satunya Indonesia. Pada tahun 2022, Sumatera Utara akan menjadi salah satu provinsi yang masuk dalam daftar daerah dengan status kejadian luar biasa (KLB). Menurut data yang diperoleh dari Dinas Kesehatan Provinsi Sumatera Utara, pada tahun 2022 terdapat 127 kasus campak yang tersebar di 33 kabupaten/kota di Sumatera Utara. PLSR dapat menangani masalah multikolinearitas yang dapat menghasilkan estimasi titik. Untuk mengukur akurasi estimasi pada PLSR, diperlukan teknik analisis atau teknik empiris seperti Jackknife, yaitu teknik untuk menaksir standar error suatu estimator melalui proses resampling. Maka penggabungan estimasi interval Jackknife dan PLSR menjadi metode yang tepat untuk menangani data yang bersifat multikonferensi. Berdasarkan pemaparan hasil dan pembahasan di atas, maka dihasilkan pemodelan proporsi kasus campak di Sumatera Utara tahun 2022 dengan menggunakan metode Jack-Knife Partial Least Squares. Jack-Knife Partial Least Squares dimaksudkan untuk membentuk model yang lebih kuat dan sederhana, sehingga dapat memberikan prediksi secara efisien dengan melibatkan penjelasan yang minimal. Model Jack-Knife Partial Least Squares berhasil menunjukkan nilai tertinggi dari masing-masing variabel, variabel y = 0,9744, variabel y = 0,9472, variabel y = 0,9933, variabel y = 0,9962, variabel y = 0,9957, variabel y = 0,8912.
Robust Geographically Weighted Regression Modeling In Cases Of Stunting Toddlers In North Sumatera Utara Siahaan, Maharani Putri Adam; Husein, Ismail
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20934

Abstract

Stunting is a problem related to chronic malnutrition that can be caused by inadequate nutritional intake. Stunting is usually found in toddlers aged 12-36 months which is often not realized because usually the difference between normal children and stunted children is not specifically visible. Therefore, researchers want to know the problem of how to model cases of stunted toddlers using Robust Geographically Weighted Regression in North Sumatra. With quantitative research methods, the results obtained were 33 models of the number of cases of stunted toddlers in North Sumatra which were formed using the Robust Geographically Weighted Regression (RGWR) method with a fixed Gaussian kernel weighting function and gave different results for each Regency /City in North Sumatra. Among them is the RGWR mode in Central Tapanuli = 193.2119 + 1.306099 ???? 1 + 0.013863 ???? 2 + 0.000913 ???? 3 – 0.00469 ???? 4 – 0.051564 ???? 5 + ???? and it is obtained that the level of accuracy of the RGWR model is able to provide better estimation results. This is supported by the MAPE value of the RGWR model of 15%, which is in the range of 10% -20%. So the model used is appropriate and effective in estimating the number of cases of stunting toddlers in North Sumatra.        
Analisa Manajemen Waktu Pada Pengelolaan Administrasi Di Dinas Perhubungan Provinsi Sumatera Utara Dengan Critical Path Method (CPM) Lingga, Eva Ridya Wanti; Atika Nadila; Mingka, Muhammad Farhan; Riezky Meiliza; Ismail Husein
Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2022): Desember 2022
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v1i2.30

Abstract

Practical work (KP) is an academic activity that aims to shape student learning and develop and improve a qualified workforce. By participating in practical work (KP) it is hoped that istudents will be able to add knowledge, skills and experience in preparing themselves to enter the real world of work. The problems that occur in the administration section are delays in the administrative process. Therefore, practitioners try to use the Critical Path Method to complete administrative processes to make them more efficient by determining the critical path to inefficient work processes. the critical path can be found by looking at the total float resulting in a sum equal to 0 which is a critical activity and the critical path is found as follows: "1-3-4".
EDUKASI PENCEGAHAN STUNTING MELALUI PROGRAM KKN REGULER 186 UNIVERSITAS ISLAM NEGERI SUMATERA UTARA DI DESA GUNG PINTO, KEC. NAMAN TERAN, KAB. KARO Husein, Ismail; Rizky, Fadhlan; Hidayah, Mega Nur; Febrianti, Zelika
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 28, No 4 (2022): OKTOBER-DESEMBER
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v28i4.38539

Abstract

Desa Gung Pinto merupakan desa yang berada di Kecamatan Naman Teran, Kabupaten Karo, secara geografis Desa Gung Pinto terletak di Kecamatan Namanteran Teran, wilayah dari Kabupaten Karo, Sumatera Utara. Mata pencaharian utama penduduk di Desa Gung Pinto adalah bertani. desa tersebut tidak memiliki kasus stunting yang tinggi. Jurnal ini bertujuan untuk mengembangkan pemikiran yang dilandasi ilmu pengetahuan dalam masalah mengembangkan kualitas kesehatan manusia, yaitu mengedukasi/memberi informasi kepada masyarakat tentang apa dampak yang akan timbul dari stunting tersebut, untuk menjelaskan bahaya  yang ditimbulkan dari stunting dan juga memberi informasi tentang bagaimana pencegahan serta mendeteksi anak agar tidak terjadi stunting pada masyarakat yang ada di Desa Gung Pinto melalui pemberian informasi dan juga edukasi melalui Mahasiswa KKN Kelompok 186 UINSU.  metode yang digunakan untuk mengumpulkan data adalah metode observasi Dalam kegiatan observasi kami melakukan sebuah tahapan pelaksanaan kegiatan praktik belajar lapangan yang diawali dengan kegiatan analisis situasi ataupun survei di tempat kegiatan, kemudian menentukan sasaran yang ditinjau untuk mengkaji permasalahan yang ada di lingkungan tersebut, selain itu Pada tahapan ini juga dilakukan proses perizinan kepada Desa setempat dan juga kepala desa setempat untuk melakukan seminar stunting.Berdasarkan hasil pelaksanaan program KKN 186 UINSU dalam rangka pencegahan stunting melalui edukasi kepada masuarakat yang dilakukan dengan media informasi dan pengedukasian, Mahasiswa KKN telah melakukan berbagai macam kegiatan seperti observasi, memaparkan materi dan juga membagikan makanan yang dinilai dapat mencegah stunting dan memberi informasi tentang stunting kepada Masyarakat Desa Gung Pinto walaupun didesa gung pinto tidak memiliki kasus stunting yang tinggi.
Implementation of Particle Swarm Optimization (PSO) Method In Determining The Composition of Animal Feed In Broiler Chickens With Minimum Cost Dewi, taslima; husein, ismail
KUBIK Vol 8, No 2 (2023): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v8i2.29631

Abstract

 Ayam pedaging merupakan salah satu jenis unggas vertebrata dan daging yang paling populer untuk dikonsumsi masyarakat Indonesia. Pertumbuhan ayam broiler sangat dipengaruhi oleh kualitas pakan yang diterimanya. Komposisi pakan tentunya harus memenuhi nutrisi yang dibutuhkan ayam broiler dengan harga minimal. Optimasi komposisi pakan dilakukan dengan metode Particle Swarm Optimization (PSO). Metode Particle Swarm Optimization (PSO) merupakan teknik optimasi yang mengikuti perilaku sekelompok makhluk hidup untuk seumur hidup seperti sekelompok burung dan sekelompok ikan dalam mencari makanan. Dalam optimasi pakan dengan metode PSO ditentukan dengan melihat beberapa partikel dan mana partikel yang mempunyai nilai kebugaran terbaik. Penelitian ini bertujuan untuk melihat hasil optimasi komposisi pakan dengan metode PSO. Dari perhitungan menggunakan metode PSO dengan harga dari peternak memberikan selisih harga sebesar Rp. 186 dimana parameter PSO yang digunakan adalah r1 dan r2 sebesar 0,2 dan 0,4 serta nilai c1 dan c2 sebesar 2,1 dan 0,9
Sentiment Analysis Of Shopee Application User Reviews Using Naïve Bayes Classifier Panjaitan, Adelia Nopiazinda Br; Husein, Ismail
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Shopee is currently the number one online shopping application in Indonesia. The purpose of the study is to find out the classification of shopee application user reviews and the results of prediction accuracy by classifying naïve bayes classifiers. Positive reviews, negative reviews, total of all reviews, and review status are the variables of the study. Simple random sampling technique to determine the sample, the results were selected by Indonesian user reviews. Scraping the Google Play Store website page generates attribute variable data, which is then determined using rating, date, and review criteria. To create a naïve bayes classifier, the before and after probabilities are calculated using rapid miner software. The results showed that naïve bayes classifier obtained an accuracy score with a 50% training data trial and a 50% data test resulting in an accuracy of 90.53%, a precision of 90.53%, and a recall of 100% with an average accuracy of 90.53%. It can be concluded that naïve bayes classifier can be used in predicting the review rate of Shopee application users effectively and efficiently
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