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PENERAPAN METODE MAUT DENGAN PEMBOBOTAN ROC DALAM PENENTUAN MAHASISWA PENERIMA BEASISWA UPZ DI FAKULTAS SAINS DAN TEKNOLOGI UIN SUMATERA UTARA MEDAN Marwan Marwan; Ismail Husein; Rima Aprilia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 3 (2024): August 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i3.2142

Abstract

Beasiswa UPZ merupakan beasiswa yang bersumber dari lembaga amil zakat yaitu Lembaga Unit Pengumpul Zakat (UPZ) UIN Sumatera Utara Medan. Karena keterbatasan dana, maka diperlukan proses seleksi untuk menentukan mahasiswa penerima beasiswa. Tujuan dari penelitian ini adalah untuk menentukan mahasiswa yang berhak mendapatkan beasiswa menggunakan metode Rank Order Centroid (ROC) dan Multi Attribute Utility Theory (MAUT). Dengan menggunakan metode ROC-MAUT, diperoleh penerima beasiswa yang sesuai dengan kriteria-kriteria yang telah ditetapkan. Berdasarkan hasil pengujian, tingkat akurasi yang dicapai adalah 96%. Hasil penelitian ini menunjukkan bahwa metode ROC-MAUT dapat membantu tim penyeleksi beasiswa dalam menentukan penerima yang layak dengan proses yang cepat, efisien dan objektif.
PENERAPAN PARTIAL LEAST SQUARE-MODIFIED FUZZY CLUSTERING UNTUK SEGMENTASI DALAM PEMODELAN DATA PENGIRIMAN PAKET JNE MEDAN Pasya, Aulia Mumtazah; Husein, Ismail; Siregar, R. Maisaroh Rezyekiyah
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.10202

Abstract

JNE Express is one of the companies engaged in the field of shipping goods, the high level of shipping goods carried out and the many types of goods and types of services available at JNE Express, therefore knowledge is needed regarding the variables that affect the level of shipping goods and segmentation of the types of goods to be shipped. In this study, it is suspected that the type of service and special handling variables on the package affect the level of shipping goods carried out by JNE Express, Medan branch in the outbound unit. The approach used to determine the relationship between latent variables and model segmentation in shipping data is PLS-MFC (Partial Least Square-Modified Fuzzy Clustering). The results of the study showed that all variable indicators were significant where 4 of the 5 services type variable indicators were significant to the quantity of shipping goods, and 2 of the 2 special handling variable indicators were significant. The optimal segment results obtained based on the lowest FPI and NCE values were 2 segments or classes with an FPI value of 0.998 and an NCE value of 1.242. Where the exogenous latent variable that affects the high quantity of goods is the type of service with the REG indicator
IMPLEMENTATION OF THE DECISION TREE METHOD PREDICTING STUDENT GRADUATION ON TIME WITH C5.0 ALGORITHM Wulandari, Hamidah; Husein, Ismail
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (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.v5i2.671

Abstract

The percentage of students who graduate on time is one of the benchmarks for assessing a university's accreditation. To get good accreditation results, it is necessary to predict the graduation rate using a method so that students can anticipate delays in graduating. The C5.0 algorithm is a Decision Tree based algorithm which is a refinement of the ID3 and C4.5 algorithms created by Ross Quinlan in 1987. In this research, researchers analyzed several variables used in the input variables, there are several variables used, namely the SKS variable, Academic Leave, Student Status, Relationship/Communication with Family, Interests and Talents, Family Economics, Relationship/Communication with Lecturers, Number of Revisions, Final Assignment Material or Method. Meanwhile, in the target variable there is the Study Period. The aim of this research is to obtain the results of the implementation of graduation predictions for Strata 1 (S1) Mathematics Study Program students, Faculty of Science and Technology, UIN North Sumatra Medan using the C5.0 Decision Tree Algorithm. There are several steps taken, namely data preprocessing, data division, calculating information gain for the entire case, calculating information gain and entropy for each attribute. Calculate the total entropy and Gain value of each attribute, create a branch from each root node category, if the result of the branch becomes an internal node, the process is carried out until the attribute categories cannot be split. After carrying out the analysis, the accuracy rate was 82.81%. With a high level of accuracy, it can be developed into a rule that can provide predictions or input in making decisions about whether students will graduate on time
ANALISIS SPATIAL AUTO REGRESSIVE (SAR) TERHADAP FAKTOR YANG MEMPENGARUHI KASUS DIARE DI KOTA MEDAN Rahmadani, Artika; Husein, Ismail; Cipta, Hendra
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (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.v5i2.701

Abstract

Diarrhea disease is categorized as the top 10 most common diseases in North Sumatra, especially Medan City. The number of diarrhea cases in each sub-district in Medan City varies, indicating a relationship between regions. This is the basis for the use of spatial models to find out how much influence variables have on the incidence of diarrhea in Medan City. The Spatial Auto regressive (SAR)  model is used to adjust the relationships that exist between a set of observations or locations. In this study, the results of SAR modeling of diarrhea cases in 21 sub-districts in Medan City compared to the OLS model produced the best model. The SAR model yielded  35.82%. The significant variable for diarrhea cases in Medan City is the number of people who do not have access to PAM water ( ).
Decision Support System Selecting The Best Skincare Using The Oreste Method Husein, Ismail; Anggraini, Dwi; Siregar, R. Maisaroh Rezyekiyah
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2024): Mathline: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i2.635

Abstract

The development of the beauty industry, especially in skincare products, raises the need for a system that helps individuals choose skincare products according to their needs and skin conditions. This research aims to develop a Decision Support System (SDM) using the ORESTE Method to facilitate the selection of the best skincare. ORESTE is a multi-criteria decision-making method capable of dealing with uncertainty and ambiguity. This research adapts the ORESTE Method in the context of skincare product selection by considering important criteria such as price, quality, brand, age, and suitability to the user's skin type. The sampling technique that will be used in this research is non probability sampling technique with purposive sampling type.  Applied research is the type of research used in this study. As a continuation of basic research, applied research aims to solve a problem in society, industry, or government. The type of data used is primary data, and the data source used is a questionnaire / questionnaire. The data was used to develop a decision model using the ORESTE Method, which was then tested and validated using a diverse sample of skincare products. The results show that the developed SPK provides skincare product recommendations according to user preferences and needs. By using the ORESTE Method, this SPK is able to overcome the complexity in skincare decision making, providing accountable results. This research contributes to making it easier for individuals to choose skincare products according to their skin conditions and preferences, and serves as a basis for the development of similar systems in the beauty field. An attempt to show the novelty between this research and previous research was made by using the ORESTE method in skincare product selection. The results show MS Glow as the best alternative with a preference value of 1.348, followed by Wardah, Scarlett, Garnier, and Pond's with their respective preference values.
Strategi Penguatan Moderasi Beragama Melalui Kegiatan Festival Anak Sholeh di Desa Perkebunan Tanjung Beringin Sinaga, Husnia Amro Br; Syari, Isma Aulia Zamaakh; Anggraini, Arizka; Pane, Mahfuzha; Ong, Aldi Maulana; Al Rizky, Muhammad Furqan; Husein, Ismail
Jurnal Akuntansi Hukum dan Edukasi Vol 1, No 2 (2024): November 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jahe.v1i2.3754

Abstract

Religious moderation is the most important key in maintaining harmony and harmony in a diverse society to prevent radicalism. Religious moderation and tolerance are two different and different things. Religious moderation is a path that consists of several stages that must be passed, while tolerance is the result of the stages that have been passed before. From religious moderation, an attitude of tolerance will be formed between fellow human beings, so that harmony between religious communities will be created which will later function to strengthen the unity and unity of the Indonesia nation. Humans are required to interact to meet their needs in society. Relations between religious people are based on the principle of good brotherhood, working together to face enemies and defending those who suffer. Religious harmony is needed in establishing good relationships in community life. In this context, it is discussed that this research is an inculcation of the value of tolerance between religious communities.
Strategi Sukses Desa Perkebunan Tanjung Beringin Dalam Menghapus Stunting Khairina, Khairina; Ikhsan, Ramadhani Al; Adrya, M Rifqi; Panjaitan, Rio Anggara; Sirait, Nurul Yusro; Husein, Ismail
Jurnal Akuntansi Hukum dan Edukasi Vol 1, No 2 (2024): November 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jahe.v1i2.3755

Abstract

Stunting tetap menjadi masalah krusial di Indonesia yang memengaruhi perkembangan fisik dan kognitif anak-anak, yang pada akhirnya dapat mengancam modal manusia negara ini dalam jangka panjang. Studi ini berfokus pada upaya Desa Perkebunan Tanjung Beringin dalam menghapus stunting melalui program berbasis komunitas. Penelitian ini menggunakan metode kualitatif, termasuk wawancara dan observasi selama program Kuliah Kerja Nyata (KKN) 142 Langkat UIN SU dua minggu yang dilakukan oleh mahasiswa. Strategi utama yang diterapkan meliputi peningkatan kesadaran melalui kegiatan sosialisasi, kunjungan dari rumah ke rumah oleh petugas kesehatan, serta kolaborasi antara pemerintah desa, layanan kesehatan, dan kelompok masyarakat. Pendekatan lintas sektor ini berkontribusi secara signifikan dalam menurunkan angka stunting di desa tersebut. Keberhasilan program ini disebabkan oleh partisipasi aktif masyarakat, pemberdayaan kader kesehatan (kader posyandu), serta dukungan yang konsisten dari kebijakan dan sumber daya pemerintah setempat. Temuan ini menunjukkan bahwa integrasi intervensi kesehatan masyarakat dengan keterlibatan komunitas dan kolaborasi lintas sektor sangat penting untuk mencapai pengurangan stunting yang berkelanjutan.
Krisis Pendidikan Islam pada Generasi Muda di Perkebunan Tanjung Beringin Husein, Ismail; Syari, Isma Aulia Zamaakh; Khairina, Khairina; Sinaga, Husnia Amro Br; Pane, Maahfuzha
Journal of Community Development and Disaster Management Vol 7 No 1 (2025): Journal of Community Development and Disaster Management
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcd.v7i1.6772

Abstract

The young generation growing up in this area often has limited access to quality education, especially religious education. This phenomenon is a serious problem in various regions including North Sumatra. The purpose of this study was to analyze the crisis of Islamic education in the young generation that occurred in Tanjung Beringin Plantation Village. The research method uses a qualitative descriptive approach, the analysis used is interactive data analysis with stages of data collection, data reduction, data presentation, and drawing conclusions. The data sources used in this study were obtained from primary data sources through interviews and secondary data obtained from books and journals related to the discussion. The results of the study showed that several results were found, including: Lack of educators, The importance of government support, The unavailability of non-formal Islamic educational institutions, Lack of parental roles. The solution that can be given to overcome some of the above is to provide non-formal Islamic religious education institutions that are complete with various facilities and teachers who have abilities in the field of religion.
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
Regression Modeling of Zero-Inflated Negative Binomia (ZINB) in Pneumonia Cases in Toddlers in North Sumatra Province Hasibuan, Hani Maulida; Husein, Ismail
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5596

Abstract

Pneumonia is a lung infection that causes inflammation in the air sacs within the lungs. This disease is caused by microorganisms such as bacteria, viruses, fungi, or even inhaled substances. This study aims to identify significant factors influencing the incidence of pneumonia in children under five years old in North Sumatra Province in 2022. In this case, the dependent variable has an excessive number of zero values (excess Zero), leading to overdispersion. By using the Zero Inflated Negative Binomial (ZINB) regression method, significant factors affecting the incidence of pneumonia in children under five years old in North Sumatra Province were identified. The study found that the variable of the number of low birth weight babies (BBLR) (X5) significantly influences the incidence of the disease in North Sumatra Province in 2022. It can be seen from the significant variables affecting the occurrence of pneumonia in children under five, which are 0.0406% (X1), 0.00952% (X2), 0.006506% (X3), and 2.122% (X4).
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