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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 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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Journal : Jatilima : Jurnal Multimedia Dan Teknologi Informasi

 1 
Application of Circular Regression Analysis on Dengue Hemorrhagic Fever (DHF) Cases in North Sumatra Rinjani, Nazwa; Husein, Ismail
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1645

Abstract

Dengue Hemorrhagic Fever (DHF) continues to be one of the leading public health challenges in Indonesia, with North Sumatra experiencing a sharp increase to 8,541 reported cases in 2022. The recurring seasonal pattern of this disease necessitates an approach that can capture cyclic characteristics. Therefore, this study applied circular regression to examine the influence of time (expressed in monthly cycles), rainfall, and temperature on the distribution of DHF cases. The research utilized secondary data collected from the North Sumatra Provincial Health Office for case numbers and from the Meteorology, Climatology, and Geophysics Agency (BMKG) for climate information. Monthly data were transformed into radians, followed by correlation testing and model construction to determine the strength of relationships. The resulting model demonstrated a high explanatory power with an adjusted R² value of 92.44%, indicating strong model fit. Among the independent variables tested, only the sine transformation of the month (sin α), which represents seasonal peaks and troughs, showed a statistically significant contribution to case variation (p < 0.001). In contrast, the cosine transformation (cos α), rainfall, and temperature were not significant predictors, most likely due to relatively stable climatic conditions and the lagged effects of rainfall on mosquito breeding. The model further identified August and September as the months with the highest risk of DHF, aligning with descriptive case data. These findings confirm that seasonal dynamics are the primary driver of dengue transmission in the region. The study concludes that circular regression is an effective analytical tool for diseases with cyclical patterns and can provide essential evidence for public health planning. Strengthening preventive actions and vector control in peak months is crucial to reducing the impact of DHF in North Sumatra.
Application of Mixed Integer Linear Programming (MILP) Method in Capacity Vehicle Routing Problems in Heterogeneous Fleets (HFCVRP) at Bagol Hydroponics UMKM Ditta Arsyilviasari; Ismail Husein
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1765

Abstract

Due to variations in vehicle capacity, Bagol Hydroponics UMKM has trouble figuring out cost-effective and distance-efficient product distribution routes. For this reason, this study uses the Mixed Integer Linear Programming (MILP) approach to solve the Heterogeneous Fleet Capacitated Vehicle Routing Problem (HFCVRP). This study is a quantitative applied research project that uses distance data from the Google Maps API to create a mathematical model and the best distribution route using IBM ILOG CPLEX software. The MILP model is designed to decrease the overall distance driven by automobiles while taking sub-trip elimination and vehicle capacity limitations into account. The results demonstrate that the MILP model can provide optimal distribution routes with efficient calculation time and an average distance savings of 1.74% when compared to current routes. Therefore, it has been demonstrated that applying the MILP approach to the HFCVRP problem improves the distribution efficiency of Bagol Hidroponik UMKM products. This can serve as a guide for other UMKM in order to create the most efficient delivery routes.
Application of SMOTE Random Forest Classification and Gradient Boosting on Imbalanced Tuberculosis Data Mutiara Amanda; Ismail Husein
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1767

Abstract

Tuberculosis (TB) is an infectious disease that remains a serious problem in Indonesia due to its spread and imbalanced data in cases. This study aims to compare the performance of Random Forest and Gradient Boosting algorithms in classifying tuberculosis in imbalanced data. The methods used include the application of the Synthetic Minority Oversampling Technique (SMOTE) as a data balancing method, as well as model evaluation using the metrics of accuracy, precision, sensitivity, specificity, and AUC. The results show that Gradient Boosting without SMOTE produces the best performance with an accuracy of 93% and an AUC of 0.91, while the application of SMOTE actually reduces the performance of the model. Meanwhile, Random Forest showed stable results in both conditions with an accuracy of 93% and an AUC of 0.89. Thus, it can be concluded that Gradient Boosting without SMOTE provides the most optimal classification results and can be the basis for developing classification methods for Imbalanced Data in tuberculosis. Abstract is a brief representation of the whole article which contains the context of the problem (background), the purpose of the research, the principal methods, the results and the major conclusion (contribution). An abstract is often presented separately from the article, so it must be able to stand alone. Thus, the reference must be avoided. Abstract must be written in Nunito , with no more than 300 words in one paragraph.
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 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 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 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 M Fakhariza M. Abdul Rizki Marwan Marwan Maya Sari Maysarah, Maysarah 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 Atsilah Hasibuan Nur Hafizah Nuraini Ade Putri Lubis 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 Rahayu, Atika Rahma Utami Rahmadani, Artika Rahmat Hutapea Rakhmawati, Fibri Rakhmawati, Fibri Riezky Meiliza Rifki, Mhd Ikhsan 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 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