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All Journal Jupiter Paradikma: Jurnal Pendidikan Matematika Jurnal Daya Matematis Al Ishlah Jurnal Pendidikan BAREKENG: Jurnal Ilmu Matematika dan Terapan AXIOM : Jurnal Pendidikan dan Matematika Prima: Jurnal Pendidikan Matematika Jurnal Kridatama Sains dan Teknologi Jambura Journal of Biomathematics (JJBM) Mosharafa: Jurnal Pendidikan Matematika Griya Journal of Mathematics Education and Application Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) ALACRITY : Journal Of Education MATHunesa: Jurnal Ilmiah Matematika Innovative: Journal Of Social Science Research Tekmulogi: Jurnal Pengabdian Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Yulita Molliq Rangkuti
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Pembangunan Website untuk Penjadwalan Maintenance Menggunakan Algoritma Priority Schedulling Harahap, Muhammad Abarorya; Rangkuti, Yulita Molliq; AS, Mansur; Indra, Zulfahmi; Saputra, Kana
Jurnal Kridatama Sains dan Teknologi Vol 7 No 01 (2025): Jurnal Kridatama Sains dan Teknologi
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v7i01.1504

Abstract

PTPN II Sugar Factory (PG.II) is a company that produces sugar which often experiences difficulties in producing sugar that is not time efficient due to frequent unexpected damage to the machine, which results in a reduced amount of time used to produce sugar. One of the causes of machine damage at PTPN II Kwala Madu is the absence of an information system about scheduling machine maintenance so that production machine damage occurs. The purpose of performing maintenance is so that the network distribution capability can meet the needs of the company, maintaining quality at the right level to meet what is needed by the production itself. Maintenance also aims to achieve the lowest possible cost level and avoid maintenance activities that can endanger the safety of the workforce or employees. help reduce usage or deviations beyond the limit and maintain the capital that has been invested during the specified time in accordance with the policies of the company or organization. The stages of this research are analyzing needs, designing / modeling a scheduling system with the Priority Schedulling algorithm, followed by programming, software testing and testing. Global system design using UML modeling language consisting of Usecase Diagram, Activity Diagram, Class Diagram, and Bari Diagram
Distance Function Analysis on Fuzzy C-Means for Clustering Aquaculture Production in North Sumatra hafni, Nur; Rangkuti, Yulita Molliq; Karo, Ichwanul Muslim Karo
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.6500

Abstract

Abstrac As a maritime country, Indonesia has considerable fisheries resource potential, including in North Sumatra. However, less than optimal management causes a gap between the demand and supply of cultivated fish in this region. This research aims to analyze the use of the Fuzzy C-Means (FCM) method in classifying aquaculture production in North Sumatra based on Regency/City and primary commodities. This research also compares three methods of measuring Euclidean, Manhattan, and Chebyshev distances to determine the best method for data clustering. The North Sumatra Central Statistics Agency (BPS) data for 2018-2022. The results showed that there were two clusters, namely cluster 1 consisting of 4 districts with high fisheries production and cluster 2 consisting of 29 districts with low fisheries production. Evaluation using the Modified Partition Coefficient shows that the Manhattan distance method has the highest MPC value of 0.922. These results indicate that of the three distance methods, the Manhattan method is the best for applying Fuzzy C-Means to classify aquaculture production in North Sumatra.
Pemodelan Graf Berarah Menggunakan Python untuk Pengelompokan Siswa Berdasarkan Kemampuan Pra-Literasi Felicia Eldora; Simanjuntak, Christina N; Khoiriyati Azmi; Gultom, Ledy Meva Tiurma; Rangkuti, Yulita Molliq
Griya Journal of Mathematics Education and Application Vol. 5 No. 3 (2025): September 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i3.638

Abstract

Penelitian ini dilatarbelakangi oleh kebutuhan akan pendekatan yang lebih efisien dalam analisis dan pengelompokan siswa berdasarkan keterkaitan akademik. Tujuan penelitian ini adalah mengimplementasikan graf berarah dalam pemodelan hubungan antar siswa menggunakan bahasa pemrograman Python, sehingga dapat meningkatkan efisiensi analisis keterkaitan pra-literasi. Metode yang digunakan meliputi studi literatur dan analisis berbasis komputasi dengan pustaka NetworkX untuk membangun graf serta Matplotlib untuk visualisasi data. Hasil penelitian menunjukkan bahwa graf berarah yang dibangun dengan NetworkX dapat secara efektif merepresentasikan hubungan antar siswa dalam kelompok belajar. Visualisasi menggunakan Matplotlib memungkinkan identifikasi pola keterkaitan secara sistematis dan lebih intuitif dibandingkan pendekatan berbasis tabel. Selain itu, analisis graf mengungkap siswa yang memiliki peran sentral dalam kelompok, yang dapat menjadi dasar untuk pengelompokan yang lebih optimal. Kesimpulan dari penelitian ini adalah bahwa penerapan graf dalam sistem pendidikan memberikan representasi visual yang lebih jelas dan informatif terhadap hubungan antar siswa. Pendekatan ini dapat menjadi referensi bagi pengelola pendidikan dalam meningkatkan efektivitas pengelompokan siswa dan perancangan strategi pembelajaran yang lebih adaptif
GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC Sinaga, Marlina Setia; Arnita, Arnita; Rangkuti, Yulita Molliq; Febrian, Didi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.063 KB) | DOI: 10.30598/barekengvol16iss2pp713-720

Abstract

Online motorcycle taxi drivers are a group of people who are economically affected by the Covid-19 pandemic. This study aimed to provide a balanced choice strategy for drivers and companies. Game theory was applied to conflict of interest situations as a research method. Choices for online transportation companies and drivers are analyzed and arranged in a payoff table until they reach the saddle point. Simulation software as an illustration of a balanced model. This research resulted in driver diligence and incentive strategies as optimal strategies for drivers and companies. If drivers improve performance by choosing a driver diligence strategy, the driver's expectations of getting incentives will be more realistic. Meanwhile, for the company, when the driver's diligence increases, the choice of providing incentives will provide balanced benefits as well.
ANALYZING THE EFFECT OF SIMILARITY FUNCTIONS ON PARTITIONING AROUND MEDOIDS ALGORITHM FOR MAPPING DHF DISEASE IN NORTH SUMATRA Fadillah, Wahyu Nur; Rangkuti, Yulita Molliq; Karo Karo, Ichwanul Muslim
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0413-0426

Abstract

Dengue hemorrhagic fever (DHF) is an acute febrile illness caused by a virus through the Aedes mosquito. North Sumatra is among the three provinces with the highest incidence and mortality rates in Indonesia. Mapping of DHF cases is very important in efforts to control and prevent the disease. The Partitioning Around Medoid (PAM) algorithm is commonly used to cluster DHF cases. The idea of PAM is a clustering algorithm with a similarity-based approach to grouping objects in one cluster. There are two main focuses in the research: mapping regencies/cities based on dengue case information and analyzing the performance of several similarity functions. The dataset includes variables of incidence rate (IR), case fatality rate (CFR), larva-free rate (ABJ), and population, obtained from the North Sumatra Provincial Health Office and the Central Statistics Agency (BPS). The analysis showed that three clusters were formed in North Sumatra Province. The first cluster includes regencies/cities such as Langkat, Deli Serdang, Karo, Simalungun, Dairi, Samosir, Humbahas, North Labuhan Batu, North Padang Lawas, South Labuhan Batu, Padang Sidempuan, Nias, South Nias, North Nias, and Sibolga. The second cluster consists of regencies/cities such as Medan, Binjai, Sedang Berdagai, Tebing Tinggi, Batubara, Asahan, Tanjung Balai, Labuhan Batu, Toba, North Tapanuli, Central Tapanuli, Gunungsitoli, and West Nias. The third cluster includes the regencies of South Tapanuli and Mandailing Natal. In addition, an evaluation was conducted using the Silhouette Index to measure the quality of the clustering. Based on the comparison using distance methods (Euclidean distance, Manhattan distance, Minkowski distance, and Chebyshev distance), the highest Silhouette Index value was obtained using Chebyshev distance, which amounted to 0.527554. This value indicates reasonable cluster quality. Thus, this study contributes to the mapping of DHF cases in North Sumatra Province and can be the basis for decision-making in overcoming the disease.
PENYELESAIAN PERSOALAN NILAI BATAS PADA PERSAMAAN PEGAS-MASSA TEREDAM MENGGUNAKAN METODE NUMERIK SHOOTING, FDM DAN FEM simorangkir, risna; Sianturi, Josua; Lubis, Mufida Azza Iskandar; Rangkuti, Yulita Molliq
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

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

Abstract

Persamaan pegas-massa teredam merupakan model matematis yang penting dalam analisis dinamika sistem fisis, khususnya melibatkan getaran dan gaya luar. Penelitian ini bertujuan untuk menyelesaikan persoalan nilai batas dari persamaan diferensial orde dua yang menggambarkan sistem pegas-massa teredam dengan menggunakan tiga pendekatan numerik, yaitu metode shooting dengan RK2, metode beda hingga (FDM) dan metode elemen hingga (FEM). Model yang digunakan melibatkan gaya luar berupa fungsi sinus dengan kondisi batas yang diketahui di kedua ujung interval. Setiap metode numerik diimplementasikan menggunakan perangkat lunak Wolfram Mathematica dan hasil numeriknya dibandingkan dengan solusi referensi yang diperoleh dari fungsi NDSolve. Evaluasi dilakukan dengan menghitung galat absolut dan galat maksimum serta menampilkan grafik perbandingan antar metode. Hasil menunjukkan bahwa ketiga metode mampu menghasilkan solusi yang mendekati solusi eksak, dimana metode FEM memberikan akurasi paling tinggi, metode FDM menawarkan kesederhanaan dalam implementasi dan metode shooting memberikan solusi yang cukup baik dengan pendekatan iteratif. Penelitian ini menunjukkan bahwa pemilihan metode numerik yang tepat sangat bergantung pada kebutuhan akurasi, kompleksitas masalah dan efisiensi komputasi yang diinginkan.
Gender Differences in Academic Performance: The Role of Self-Efficacy and Learning Motivation Siregar, Nurhasanah; Siregar, Nurfadilah; Fitriawan, Dona; Simanjuntak, Erlinawaty; Rangkuti, Yulita Molliq
Mosharafa: Jurnal Pendidikan Matematika Vol. 13 No. 2 (2024): April
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v13i2.1682

Abstract

Kepercayaan diri merupakan salah satu faktor penting dalam keberhasilan seseorang. Tingginya motivasi belajar seseorang akan berbanding lurus dengan peningkatan hasil belajar. Selain itu ada asumsi yang menyatakan bahwa gender mempengaruhi motivasi belajar sesorang sehingga berpengaruh juga pada hasil belajarnya. Untuk itu perlu dilakukan penelitian mengenai gender dan kepercayaan diri mempengaruhi hasil belajar mahasiswa. Penelitian kuantitatif yang dilakukan pada salah satu Universitas Negeri di Sumatera Utara bertujuan untuk mengevaluasi dampak self-efficacy dan motivasi belajar terhadap Indeks Prestasi Kumulatif (IPK) dengan mempertimbangkan perbedaan jenis kelamin. Sampel acak sederhana sebanyak 166 mahasiswa dipilih untuk desain korelasional. Data yang dikumpulkan melalui kuesioner dianalisis menggunakan regresi berganda. Hasil penelitian menunjukkan bahwa self-efficacy dan motivasi belajar tidak berpengaruh signifikan terhadap IPK berdasarkan jenis kelamin. Hal ini ditunjukkan dengan nilai F hitung yang tidak signifikan. Koefisien korelasi sebesar 0,086 dan koefisien determinasi sebesar 0,007 menunjukkan kecilnya pengaruh variabel-variabel tersebut terhadap varians IPK. Penelitian berikutnya harus mengeksplorasi faktor-faktor lain yang berkontribusi terhadap hasil IPK untuk pemahaman yang lebih komprehensif tentang pengaruhnya terhadap prestasi akademik. Self-efficacy is one of the important factors in one's success. The high motivation of a person to learn will be directly proportional to the increase in learning outcomes. In addition, there is an assumption that gender affects a person's learning motivation so that it also affects their learning outcomes. For this reason, it is necessary to conduct research on gender and self-efficacy affecting student learning outcomes. This quantitative study, conducted at one of the State Universities in North Sumatra aim to evaluate the impact of self-efficacy and learning motivation on Grade Point Average (GPA), considering gender differences. A simple random sample of 166 students was selected for a correlational design. Data collected through questionnaires were analyzed using multiple regression. Results indicated that neither self-efficacy nor learning motivation significantly influenced GPA based on gender, as indicated by an insignificant F-calculated value. The correlation coefficient was 0.086, and the coefficient of determination was 0.007, indicating a minimal influence of these variables on the variance of GPA. Future research should explore other factors contributing to GPA outcomes for a more comprehensive understanding of the influences on academic achievement.
Pembangunan Webgis Untuk Penderita Gizi Buruk Di Kota Medan Berdasarkan Hasil Clustering Algoritma DBSCAN Sihite, Esra Kristiani; Rangkuti, Yulita Molliq; Karo, Ichwanul Karo
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 1 (2024): Februari 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i1.9528

Abstract

Gizi buruk merupakan kondisi serius di mana berat badan balita jauh lebih rendah dibandingkan tinggi badannya akibat asupan nutrisi yang kurang memadai untuk pertumbuhannya. Gizi buruk dapat memiliki konsekuensi jangka panjang pada perkembangan anak, serta meningkatkan risiko morbiditas dan mortalitas. Tujuan dari penelitian ini adalah untuk mengembangkan Sistem Geografis (SIG) yang menggunakan metode Density Based Spasial Clustering of Application with Noise (DBSCAN) untuk memetakan kasus gizi buruk di Kota Medan. Metode DBSCAN digunakan untuk mengelompokkan data kasus gizi buruk berdasarkan karakteristik yang serupa dan untuk memancarkan hasil pemetaan dengan menggunakan Silhouette Index dan Index Dunn. Selain itu, peneliti juga membangun Sistem Informasi Geografis untuk visualisasi penyebaran gizi buruk, dan menguji sistem dengan Blackbox Testing. Berdasarkan perbandingan validasi cluster, hasil Silhouette Index sebanyak 0,5414 sedangkan Index Dunn sebanyak 0,5124. Selain itu, berhasil mengembangkan Sistem Informasi Geografis (SIG) untuk memetakan kasus gizi buruk di Kota Medan. Sistem ini dirancang khusus untuk Dinas Kesehatan Kota Medan dengan tujuan memberikan informasi yang lebih efisien dalam pemetaan, pemantauan dan pengambilan keputusan terkait penanganan gizi buruk.
Sistem Monitoring Pertanian Hidroponik Berbasis Web Menggunakan Metode Waterfall (Studi Kasus PT. Horti Jaya Lestari Dokan) Tarigan, Yosua Yosephine; Taufik, Insan; Rangkuti, Yulita Molliq; AI Idrus, Said Iskandar
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.15896

Abstract

Sistem monitoring pertanian hidroponik berbasis web menggunakan metode Waterfall ini dirancang untuk meningkatkan efisiensi dan produktivitas budidaya selada hidroponik. Pengembangan sistem ini melibatkan penggunaan teknologi web dan metode Waterfall untuk memantau kondisi lingkungan hidroponik, termasuk suhu, pH air, dan kadar air nutrisi. Dengan demikian, petani hidroponik dapat memantau dan mengontrol lingkungan hidroponik secara lebih efektif dan efisien. Dalam penelitian ini, sistem monitoring hidroponik berbasis web ini diterapkan pada PT. Horti Jaya Lestari Dokan, sebuah perusahaan hidroponik di Desa Dokan, Sumatera Utara. Data yang dikumpulkan dari studi kasus digunakan untuk merancang dan mengembangkan sistem monitoring hidroponik selada. Sistem ini menggunakan antarmuka web yang dapat diakses oleh petani hidroponik untuk memantau dan mengontrol lingkungan hidroponik. Hasil penelitian menunjukkan bahwa sistem monitoring hidroponik berbasis web ini dapat meningkatkan efisiensi dan produktivitas budidaya selada hidroponik. Sistem ini menawarkan solusi bagi petani hidroponik untuk mengoptimalkan hasil panen selada mereka dengan memberikan kemampuan untuk mengidentifikasi dan menangani kendala yang muncul di lingkungan hidroponik.
Sensitivity Analysis and Optimal Control of Covid 19 Model Firmansyah, Firmansyah; Rangkuti, Yulita Molliq
Jambura Journal of Biomathematics (JJBM) Volume 4, Issue 1: June 2023
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjbm.v4i1.19025

Abstract

Coronavirus infection is a disease that causes death and threatens human life; for prevention, it is necessary to quarantine susceptible, exposed, and infected populations and vaccinate the entire population. This kind of quarantine and vaccination is intended to reduce the spread of coronavirus. Epidemiological models are a strategy used by public health practitioners to prevent and fight diseases. However, to be used in decision making, mathematical models must be carefully parameterized and validated using epidemiological and entomological data. Epidemiological models: susceptible, symptomatic, contagious, and recovering. In this study, sensitivity analysis and optimal control were performed to determine the relative importance of the model parameters and to minimize the number of infected populations and control measures against the spread of the disease. Sensitivity analysis was carried out using a sensitivity index to measure the relative change in the basic reproduction number for each parameter, and this control function was applied to the dynamic modeling of the spread of COVID-19 using the Pontryagin Minimum Principle. We will describe the formulation of a dynamic system for the spread of COVID-19 with optimal control and then use Pontryagin's Minimum Principle to find optimal control solutions. In this article, COVID-19 cases in the USA and India serve as examples of the efficiency of control measures. The results obtained revealed that the parameters that became the basis for reducing the number of infected with COVID-19 for the two countries, the USA and India, are effective transmission rates from S to E, (β), transmission rates from E to I, (α), and transmission rates from S to R, (ps), which are the main parameters to watch for growth with respect to Basic Reproduction rates (R0). Finally, three controls were simulated in cases I (in the USA) and II (in India) in the interval t ∈ [0, 15]. For all controls, the effectiveness was close to 50% in India and 100% in the USA to reduce the spread of COVID 19. According to the findings, if these three controls were implemented ideally from the start of the pandemic, the number of sufferers.
Co-Authors Adidtya Perdana, Adidtya Ahmad Landong Ahmad Rifai Siregar, Ahmad Rifai Ahyar, Khoirul Alkhasannah, Riani Anggraini, Nisa Putri Arnita Arnita Dian Armanto DIdi Febrian Dona Fitriawan Elvis Napitupulu, Elvis Erlinawaty Simanjuntak, Erlinawaty Fadillah, Wahyu Nur Fauzi, KMS. Amin Felicia Eldora Firmansyah Firmansyah Fitri Rahayu Fitria, Nur Anisa Furqoni, Mizta Dwi Hafizah Gultom, Ledy Meva Tiurma Haraha, Melyana Harahap, Muhammad Abarorya Hasratuddin Hasratuddin Ichwanul Muslim Karo Karo Insan Taufik Kana Saputra S Karo, Ichwanul Karo Khoiriyati Azmi Kokod, Mario Maysan Landong, Ahmad Londong, Ahmad Lubis, Mufida Azza Iskandar MANSUR AS Manullang, Sudianto Mutiara Sihaloho, Laura Adelia Natasya, Amanda Nur Hafni Nurfadilah Siregar Nurhasanah Siregar . Refisis, Nice Rejoice Said . Iskandar Sianturi, Josua Siburian, Rulli Prasetio Bane Sihite, Esra Kristiani Silvi, Meutia Simanjuntak, Christina N simorangkir, risna Sinaga, Marlina Setia Siregar, Fadhillah Rahma Siregar, Julya Syahleni Tambunan, M. Ananda Rizki Tarigan, Dewan Dinata Tarigan, Yosua Yosephine Waminton Rajagukguk Wibowo, Adinda Zulfahmi Indra, Zulfahmi