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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT ZERO : Jurnal Sains, Matematika dan Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Zero : Jurnal Sains, Matematika, dan Terapan AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Varian G-Tech : Jurnal Teknologi Terapan Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Journal of Mathematics and Scientific Computing With Applications Journal of Comprehensive Science (JCS) Journal of Analytical Research, Statistics and Computation Jurnal Pengabdian Masyarakat (JAPAMAS)

Ismail Husein, Ismail

Department Of Mathematics, Universitas Islam Negeri Sumatera Utara, Medan, Indonesia

Author-ID : 620563

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA BEASISWA MENGGUNAKAN METODE TOPSIS FMADM (STUDI KASUS: MAHASISWA FKIP UMN AL-WASHLIYAH MEDAN) Panjaitan, Dedy Juliandri; Husein, Ismail
ZERO : Jurnal Sains, Matematika dan Terapan Vol 1, No 1 (2017)
Publisher : ZERO : Jurnal Sains, Matematika dan Terapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.357 KB)

Pemberian beasiswa kepada mahasiswa bertujuan untuk membantu mahasiswa didalam melaksanakan perkuliahan. Pembagian beasiswa dilakukan oleh Universitas Muslim Nusantara Al-Washliyah untuk membantu mahasiswa yang kurang mampu ataupun berprestasi selama menempuh studinya Permasalahan tersebut bertujuan untuk memilih beberapa alternatif terbaik berdasarkan beberapa atribut (kriteria) yang digunakan. Dalam rangka pengambilan keputusan pada permasalahan yang bersifat fuzzy dapat digunakan Fuzzy Multiple AttributeDecision Making (FMADM). Pada penelitian ini dilakukan pemodelan menggunakan Unified Modelling Language (UML) pada FMADM dengan metode TOPSIS dan Weighted Product untuk menyeleksi calonpenerima beasiswa. Data yang digunakan adalah data fuzzy dan crisp. Hasil penelitian menunjukkan bahwa Metode TOPSIS dan Weighted Product pada FMADM dapat digunakan untuk seleksi beasiswa. Hasil seleksi merekomendasikan mahasiswa yang memiliki tingkat kelayakan paling tinggi untuk mendapatkan beasiswa berdasarkan nilai preferensi yang dimiliki.

DECISION SUPPORT SYSTEM FOR DETERMINING SCHOLARSHIP RECIPIENTS USING TOPSIS FMADM METHOD Husein, Ismail; Juliandri, Dedy
ZERO: Jurnal Sains, Matematika dan Terapan Vol 1, No 1 (2017): January - June
Publisher : UIN Sumatera Utara Medan

Granting scholarships to students aims to assist students in conducting lectures. Distribution of scholarships conducted by Muslim University Nusantara Al-Washliyah to help underprivileged or underachievers during their study The problem aims to choose some best alternative based on some attributes (criteria) used. In order to make decisions on fuzzy issues can be used Fuzzy Multiple AttributeDecision Making (FMADM). In this research modeling using Unified Modeling Language (UML) in FMADM with TOPSIS method and Weighted Product to select candidates of scholarship recipients.

RECOGNITION OF LOCAL CAPITAL USING SYMMETRIC TWO-DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS Sari, Rina Widya; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 2, No 2 (2017): July - December
Publisher : UIN Sumatera Utara Medan

Statistical pattern recognition is a system that aims to classify a number of objects to a number of categories or classes. Given a data matrix A, A = {Π1, Π2,…, Πk} where Πi consist of ni point data of ith class then patterns in each classes can classify and separate distance of within and between-class in datasets. In this paper, Symmetric Two-Dimensional Linear Discriminant Analysis proposed to maximize the between-class scatter matrices (Sb) and minimize the within-class scatter matrices (Sw), and can recognition the symmetric capital letter by hand writing such as A, B, C, D, E, H, I, K, M, O, S, U, V, W and Y by using ADL2-D algorithm.

MODEL OF SPREAD CONTENT DISEASE FOR ASSOCIATION OF VACCINE Jumiati, Ety; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2018): July - Desember
Publisher : UIN Sumatera Utara Medan

Transmission of infectious diseases in epidemiological models is usually based on the assumption that populations in random mixing. However, in reality this assumption is not fulfilled, because each individual has a limited set of contacts that they can pass through infection; the ensemble of all such contacts forms a complex network. Knowledge of network structure allows a model to calculate the dynamics of an epidemic at a population scale from individual level infection behavior. This paper discusses mathematical models to illustrate the epidemic pattern of transmission of infectious diseases in dynamic networks based on compartment systems.

IMPLEMENTATION OF GROUP METHOD PROJECT IN INCREASING MATHEMATICAL EXPERIENCES Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2018): July - Desember
Publisher : UIN Sumatera Utara Medan

Mathematics as a vehicle for education has the purpose of educating students, forming the personality of students, and developing certain skills so that they can direct students to learning values in life through mathematics. One of the fundamental problems in education in Indonesia is the lack of students who can understand mathematical concepts well. One method that promises to reduce this problem is the group project method.

INTEGRATED AHP AND FUZZY-PROMETHEE ON BEST SELECTION PROCESS Widyasari, Rina; Cipta, Hendra; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 3, No 1 (2018): January - June
Publisher : UIN Sumatera Utara Medan

In best selection process such as best student, best employee, best destination, etc. need an effective method so it may have the best object in output. Criteria on each process consist of among qualitative variable and numeric variable. In fact, to make a decision we cant use our feeling but should use science method. In our research we offer integrated AHP (Analytical Hierarchical Process) and Fuzzy-Promethee to solve the selection process that has among categorical variable. The result show algorithm from integrated AHP and Fuzzy-Promethee.

MATHEMATICAL ABILITY ANALYSIS BASED ON ASSIST SCALE WITH A DIFFERENT LEARNING APPROACH TO PREPARE A PROFESSIONAL TEACHER CANDIDATE IN DEALING WITH ASEAN ECONOMIC COMUNITY (AEC) Sihombing, Dame Ifa; Hutauruk, Agusmanto; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 2, No 2 (2017): July - December
Publisher : UIN Sumatera Utara Medan

This paper aimed to basic mathematical skills based to the studying approach. To this subject pre detection is a need. One way ANOVA analyzing will show the significant of basic mathematical skill of students by giving different studying approach. Hence, there is correlation within basic mathematical skill to studying approach. Teachers should be able measure basic mathematical by designing model supporting understanding level, critical thinking ability made concept. The sample consisted of all the second semester of mathematical students by random sampling. Approaches and Study Skills Inventory for Students (ASSIST) is used to studying approach, Bayesian Information Criterion (BIC) is used to create group classification. Two Step Cluster Analysis Method divided into three approaches (Strategies, Surface, Deep)

IMPROVING CNN FEATURES FOR FACIAL EXPRESSION RECOGNITION Karadeniz, Ahmet Serdar; Karadeniz, Mehmet Fatih; Weber, Gerhard Wilhelm; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 3, No 1 (2019): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Abstract Facial expression recognition is one of the challenging tasks in computervision. In this paper, we analyzed and improved the performances bothhandcrafted features and deep features extracted by Convolutional NeuralNetwork (CNN). Eigenfaces, HOG, Dense-SIFT were used as handcrafted features.Additionally, we developed features based on the distances between faciallandmarks and SIFT descriptors around the centroids of the facial landmarks,leading to a better performance than Dense-SIFT. We achieved 68.34 % accuracywith a CNN model trained from scratch. By combining CNN features withhandcrafted features, we achieved 69.54 % test accuracy.Key Word: Neural network, facial expression recognition, handcrafted features

District/City Grouping Based On Factors Affecting The Level Poverty In North Sumatera With Using Cluster Analysis Fadhillah, Nurul; Rakhmawati, Fibri; Widyasar, Rina; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 3, No 2 (2019): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v3i2.7912

Poverty is a person's inability to fulfill the aspects of life. To overcome the problem of poverty, there are some factors which affect the poverty levels that need to be considered. The factors that influence the poverty levels are economic growth, unemployment, and education. Poverty in each region has different characteristics, and therefore it is necessary to group the regions so that the solutions can be implemented in accordance with each of the characteristics of the region. The purpose of this study is to cluster districts/cities in North Sumatra in accordance with the factors that affect poverty levels in each region using cluster analysis based on the centroid linkage method. Cluster analysis is a grouping into clusters so that objects in a cluster are more similar to each other than the objects in other clusters. From the clustering result of cluster analysis by using the centroid linkage method shows that there are four groups of districts/cities which are incorporated based on each factor that affects poverty levels, namely, economic growth, unemployment, and education.

Analysis of Efficiency of Least Trimmed Square and Least Median Square Methods in The Estimation of Robust Regression Parameters Abdi, Hamdan; Dur, Sajaratud; Widyasar, Rina; Husein, Ismail
ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 1 (2020): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v4i1.7933

Robust regression is a regression method used when the remainder's distribution is not reasonable, or there is an outreach to observational data that affects the model. One method for estimating regression parameters is the Least Squares Method (MKT). The method is easily affected by the presence of outliers. Therefore we need an alternative method that is robust to the presence of outliers, namely robust regression. Methods for estimating robust regression parameters include Least Trimmed Square (LTS) and Least Median Square (LMS). These methods are estimators with high breakdown points for outlier observational data and have more efficient algorithms than other estimation methods. This study aims to compare the regression models formed from the LTS and LMS methods, determine the efficiency of the model formed, and determine the factors that influence the production of community oil palm in Langkat District in 2018. The results showed that in testing, the estimated model of the regression parameters showed the same results. Compared to the efficiency estimator and the error square value, it was concluded that the LTS method was more efficient. Variable land area and productivity influence the production of palm oil smallholders in Langkat District in 2018. as well as the comparison of the efficiency estimator and the error square value, it was concluded that the LTS method was more efficient. Variable land area and productivity are factors that influence the production of palm oil smallholders in Langkat District in 2018. as well as the comparison of the efficiency estimator and the error square value, it was concluded that the LTS method was more efficient. Variable land area and productivity are factors that influence the production of palm oil smallholders in Langkat District in 2018

Co-Authors Abdi, Hamdan Achyar Zein Agusmanto J.B. Hutauruk Andayani Arya Impun Diapari Lubis Arya Impun Diapari Lubis Atika Nadila Atika Rahayu Aurelia Anandara Cindy Artika dame ifa sihombing Dedy Juliandri Panjaitan Dur, Sajaratud Ella Nuhrul Huda Eva Ridya Wanti Lingga Eva Yuliani Fadhillah, Nurul Fadhlan Rizky Fauzah Umami Hamidah Nasution Hamidah Nasution Hamidah Nasution Hanifah Dara Puspita Hendra Cipta Ika Junia Saputri Indra Jaya Jumiati, Ety Junita Fadilah Jusmita Weriza Karadeniz, Ahmet Serdar Karadeniz, Mehmet Fatih Khairan marzuki Khairun Nisa Khoiriah Syahfitri Ladia Sabrina Ladia Sabrina Ledya Frischa Linda Kumala Sari M Fakhariza M. Abdul Rizki Mega Nur Hidayah Mei Yunina Arianti Mhd. Joni Marpaung Muhammad Farhan Mingka Nafila Zendhia Ulhaq Noranizamardia Noranizamardia Novianti Nur Atsilah Hasibuan Nuraini Ade Putri Lubis Nurul Huda Prasetya Nurul Khoiriah Hasibuan Puan Salwa Afifah Rahma Utami Rakhmawati, Fibri Riezky Meiliza Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari Rina Filia Sari Rina Widya Sari Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Rizka Ramadani Sam Roshihan Mawazzi Lubis Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur Sari, Rina Widya Shedriko, Shedriko Sihombing, Dame Ifa Sintia Fransiska Siregar, Machrani Adi Putri Sri Ulfa Rahayu Syafitriani Tramilta Salsabila Harahap Weber, Gerhard Wilhelm Widya Tantri Astuti Widyasar, Rina Widyasar, Rina Widyasari, Rina Yaumi Yumna Yusra Habibah Laily Zelika Febrianti

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