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All Journal International Journal of Electrical and Computer Engineering Jupiter Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Indonesian Journal on Computing (Indo-JC) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JURIKOM (Jurnal Riset Komputer) Jurnal Teknologi Terpadu STRING (Satuan Tulisan Riset dan Inovasi Teknologi) MULTINETICS Jurnal Mantik JATI (Jurnal Mahasiswa Teknik Informatika) Sains, Aplikasi, Komputasi dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Charity : Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Journal of Software Engineering, Information and Communication Technology Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) Asian Journal of Community Services (AJCS) eProceedings of Engineering Tekmulogi: Jurnal Pengabdian Masyarakat Journal of Law, Education and Business Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Ichwanul Muslim Karo Karo
Universitas Negeri Medan
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PREDIKSI JUMLAH KENDARAAN BERMOTOR DI PULAU SUMATRA MENGGUNAKAN METODE MONTE CARLO Mufida, Yasmin; Muslim Karo Karo, Ichwanul
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 4 (2024): JATI Vol. 8 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i4.10024

Abstract

Pertumbuhan ekonomi yang signifikan di Pulau Sumatra telah memicu lonjakan jumlah kendaraan bermotor, termasuk mobil pribadi, sepeda motor, dan truk. Peningkatan ini, yang didorong oleh urbanisasi dan peningkatan daya beli masyarakat, telah menimbulkan berbagai masalah seperti kemacetan lalu lintas, polusi udara, dan kecelakaan lalu lintas. Penelitian ini bertujuan untuk memprediksi jumlah kendaraan bermotor di Pulau Sumatra menggunakan metode Monte Carlo. Metode Monte Carlo adalah teknik komputasi yang digunakan untuk memodelkan probabilitas berbagai hasil dalam proses yang melibatkan ketidakpastian. Metode ini mengandalkan pengulangan pengambilan sampel acak dari distribusi probabilitas untuk mensimulasikan berbagai kemungkinan hasil. Hasil penelitian menunjukkan bahwa metode Monte Carlo efektif dalam memprediksi jumlah kendaraan bermotor di berbagai provinsi di Pulau Sumatra dengan tingkat akurasi antara 84% hingga 89% yang menunjukkan bahwa metode ini cukup andal, meskipun ada ruang untuk perbaikan di beberapa provinsi. Dengan prediksi yang akurat, pemerintah dapat merancang kebijakan transportasi yang lebih tepat dan efisien, mengurangi kemacetan, polusi udara, dan meningkatkan keselamatan di jalan, yang pada akhirnya berkontribusi pada peningkatan kualitas hidup masyarakat di Pulau Sumatra.
SIMULASI MONTE CARLO DALAM MEMPREDIKSI PENDAPATAN PENJUALAN UMKM: STUDI KASUS DI AAN BURGER Warjaya, Angga; Muslim Karo Karo, Ichwanul
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 4 (2024): JATI Vol. 8 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i4.10091

Abstract

Penelitian ini menggunakan simulasi Monte Carlo sebagai alat untuk meramalkan pendapatan penjualan UMKM AAN Burger yang terletak di Desa Sei Mencirim, Kecamatan Sunggal, Kabupaten Deli Serdang. Simulasi Monte Carlo berdiri sebagai metodologi komputasi yang bergantung pada pemanfaatan bilangan acak untuk membuat distribusi probabilitas, yang kemudian digunakan untuk memahami implikasi ketidakpastian. Pembuatan angka acak dalam penyelidikan ini dilakukan melalui metode kongruen campuran. Hasil simulasi mengungkapkan proyeksi pendapatan sebesar Rp33.490.000 pada tahun 2023, dengan angka penjualan menunjukkan 978 porsi burger, 1201 porsi kebab, dan 1138 porsi roti panggang. Tingkat akurasi prediksi mencapai 95% yang mengesankan. Berlawanan dengan angka perkiraan, data penjualan aktual untuk tahun 2023 menunjukkan pendapatan sebesar Rp 31.838.000, di samping penjualan 1002 porsi burger, 1085 porsi kebab, dan 1081 porsi roti panggang. Mengambil wawasan dari simulasi yang dilakukan, dapat disimpulkan bahwa efektivitas Metode Monte Carlo dalam prediksi pendapatan mencapai 95,06%. Penerapan metode ini menawarkan kenyamanan manajerial kepada pendirian AAN Burger dalam membuat keputusan berdasarkan informasi yang berkaitan dengan ekspansi bisnis dan strategi operasional mereka.
Implementasi Partitioning Around Medoids Pada Visualisasi Penyebaran Penyakit DBD di Sumatera Utara Fadillah, Wahyu Nur; Rangkuti, Yulita Molliq; Karo, Ichwanul Muslim
Journal of Mathematics, Computations and Statistics Vol. 6 No. 2 (2023): Volume 06 Nomor 02 (Oktober 2023)
Publisher : Jurusan Matematika FMIPA UNM

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

Abstract

This research aims to develop a Geographic Information System (GIS) using the PartitioningAround Medoids (PAM) method in mapping dengue hemorrhagic fever (DHF) cases in North SumatraProvince. DHF has symptoms of high fever, bleeding, and a high mortality rate if not treated quickly.Therefore, mapping DHF cases is very important in efforts to tackle and prevent this disease. The PAMmethod was used in this study to cluster the DHF case data based on similar characteristics. The firstcluster consists of 18 districts/municipalities is a low cluster, the second cluster consists of 3districts/municipalities is a high cluster, and the third cluster consists of 3 districts/municipalities is amedium cluster. The implementation of PAM is done by using the Minkwoski distance calculation methodwhere the application of the distance will be tested with the Silhouette Index on several numbers of clusters.The best number of clusters for PAM implementation is 3 clusters with a Silhouette Index value of 0.5275.
Determining Tourist Destination Priorities Using Website-Based Particle Swarm Optimization Methods (Case Study : North Padang Lawas Regency) Salsabila, Aqila; Molliq Rangkuti, Yulita; Muslim Karo Karo, Ichwanul; Iskandar Al-Idrus , Said
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4233

Abstract

. Optimization of tourist routes is very important to minimize travel time and reduce travel costs. This study focuses on optimizing tourist routes in North Padang Lawas Regency using Multi Attribute Utility Theory (MAUT), and Particle Swarm Optimization (PSO) in the context of the Traveling Salesman Problem (TSP). This study discusses problems such as the lack of priority of tourist destinations and the need for shorter travel times. The research process includes problem identification, literature review, data collection through field observations and interviews, and data processing with MAUT to prioritize destinations. The identified priority destinations are Hotel Sapadia Gunung Tua, Barumun Nagari, Batik Sekar Najogi, Durian and Manggis Agrotourism, Rumah Makan Holat Alhamdulillah, Waterboom Gunung Tua, and Candi Bahal I, II, III. Furthermore, PSO is applied to determine the optimal travel route. PSO finds a route with a total travel time of 351 minutes, although the three-day travel time is extended to 375 minutes.
Formulation Workshop of Business Processes and Standard Operating Procedures at Medan State University Winsyahputra Ritonga; Muhammad Yusuf; Ichwanul Muslim Karo Karo
Asian Journal of Community Services Vol. 3 No. 9 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajcs.v3i9.11388

Abstract

The availability of effective and standardized documentation Standard Operational Procedure (SOP) and business processes of Medan State University (Unimed) creates an effective and efficient bureaucracy, maintains the quality and consistency of campus services and achieving the campus vision. In fact, there are still unstandardized SOP and business processes based on two Ministerial Regulations (PERMENPAN RB) No. 19 in 2018 and No. 35 in 2012. Due to the limited number of human resources who understand, it is necessary to improve the ability of human resources to compile effective and standardized SOP and business processes. This workshop activity reached out to all faculty and postgraduate program participants. The tool used to develop SOP and business processes is the Bizagi application
Web-Based Application Development using PHP-Native Framework on Agent of Change Integrity Zone Information System Perdana, Adidtya; Farhana, Nurul Ain; Harliana, Putri; Karo Karo, Ichwanul Muslim
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14118

Abstract

An Integrity Zone is an activity related to government policies and efforts to create an environment free from corruption, collusion, and nepotism (KKN). The Integrity Zone aims to encourage transparency, accountability, and clean practices in the management of a bureaucracy. To further the success of this Integrity Zone, a Agent of Change was formed who acts as a Role Model for all parties. As a role model, agents of change must be able to provide examples in attitude, behavior, and thinking. In addition, they must be able to provide creative solutions in dealing with problems in their agencies. And must be able to provide creative ideas to improve the performance of all parties. Sometimes, their ideas are not well documented. So a digital-based system is needed that can facilitate the work of these agents of change. For this reason, it is necessary to create a Web-based application for recording, reporting, and implementing change agent performance so that it is more optimal, efficient, and effective. In this study, the development of web-based applications using a framework with PHP-Native technology. Most PHP frameworks that exist today, use MVC and OOP technology but no one has utilized PHP-Native technology as a framework. This aims to facilitate the creation of applications for programmers who have not familiar with MVC or OOP concept.
Implementation of Gauss Elimination Method on Electrical Circuits Using Python Karo Karo, Ichwanul Muslim; Karo Karo, Justaman Arifin; Yunianto; Hariyanto; Falah, Miftahul; Ginting, Manan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.536

Abstract

Problem solving in engineering, science and other disciplines often requires complex and in-depth analysis. A problem that requires effort is determining the value of electric current in a circuit. Generally, the determination of the current value in a circuit with the calculation of Kirchoff's theorem. This research presents an alternative approach to determine the value of electric current in a circuit by combining the Gauss Elimination method and Kirchoff's theorem. The determining process support by Python. This method is effective in finding unknown values in a system of linear equations through matrix operations. A deep understanding of currents in electrical circuits is essential in the design, analysis, and maintenance of electrical systems. The application of the Gauss Elimination Method becomes important in determining the value of current in complicated electrical circuits. The Gauss Elimination Method is able to solve electrical circuit problems using matrix principles to achieve accurate and relevant solutions
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.
The Implementation of the DIANA Method to Map the Spread of Tuberculosis in North Sumatra Visualized on a Website : Mapping Tuberculosis Cases Using DIANA Clustering and Interactive Visualizations Gunawan, Rizky; Molliq Rangkuti, Yulita; Muslim Karo Karo, Ichwanul
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.v8i1.6590

Abstract

Tuberculosis disease has a high prevalence rate in North Sumatra, thus requiring an0 appropriate handling strategy. This article aims to map Tuberculosis cases in North Sumatra Province using the Divisive Analysis (DIANA) method visualized on a website. The DIANA method is used to cluster Tuberculosis case data based on certain characteristic patterns such as case rate, mortality rate, and cure rate. The DIANA (Divisive Analysis Clustering) clustering method starts with the entire data as one large cluster, which is then broken down gradually into smaller subclusters based on the level of dissimilarity between elements. Splitting starts from the element furthest from the cluster center, followed by evaluation of other elements to determine the corresponding cluster. This process continues until clusters are formed at the desired level of granularity. The results of the analysis show that clustering with the DIANA method produces clusters that separate areas with high, medium, and low case rates. Evaluation of clustering using the Davies Bouldin Index (DBI) showed the best value of 0.2943 in 2022. In addition, this article produces a Leafletjs-based interactive map to visualize the clustering results, so that it can be used to identify priority areas for intervention. From the mapping results, it was obtained that one district/city in North Sumatra, namely Medan City, entered the red zone, then Deli Serdang Regency was included in the orange zone, then Simalungun Regency, Binjai City, Langkat Regency, Mandailing Natal Regency, Serdang Bedagai Regency and Asahan Regency entered the yellow zone. Finally, there are 25 regencies/municipalities in the green zone consisting of Kab. West Nias, Kota Tebing Tinggi, Kab. Dairi, Kab. Pakpak Bharat, Kab. Padang Lawas Utara, Kota Tanjung Balai, Kab. Labuhan Batu Selatan, Kab. Karo, Kota Padangsidimpuan, Kab. Padang Lawas, Pematang Siantar City, Gunung Sitoli City, Sibolga City, South Nias Regency, Coal Regency, Samosir Regency, Humbang Hasundutan Regency, North Tapanuli Regency, Nias Regency, Central Tapanuli Regency, North Nias Regency, Labuhan Batu Regency, North Labuhan Batu Regency, South Tapanuli Regency, and Toba Samosir Regency.
Ekstraksi Informasi Bencana Banjir Dari Berita Online Berbasis Named Enitity Recognition Karo Karo, Ichwanul Muslim; Dewi, Sri; Syahrin , Alvin
MULTINETICS Vol. 11 No. 1 (2025): Vol. 11 No. 1 (2025): MULTINETICS Mei (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v11i1.7499

Abstract

Banjir merupakan bencana yang paling sering terjadi di Indonesia, sehingga informasi cepat dan akurat tentang lokasi terdampak menjadi sangat penting. Penelitian ini bertujuan untuk mengembangkan model Named Entity Recognition (NER) berbasis Conditional Random Field (CRF) guna mengekstrak entitas penting (nama kota dan waktu) dari berita online terkait banjir. Data diambil dari 200 artikel berita tahun 2023 melalui metode web scraping dan manual dari lima portal berita nasional. Proses preprocessing mencakup pembersihan teks, tokenisasi, stemming, stopword removal, dan POS tagging. Data kemudian dilabeli menggunakan metode chunking dan IOB tagging untuk meningkatkan performansi identifikasi entitas. Evaluasi menunjukkan bahwa penggunaan IOB tagging pada CRF meningkatkan kinerja model, dengan F1-score = 93.6%. Hasil penelitian ini menunjukkan bahwa CRF efektif dalam mengekstrak informasi bencana banjir, dan dapat mendukung pengambilan keputusan cepat dalam upaya penanggulangan bencana.
Co-Authors Abil Mansyur, Abil Adawiah Hasyani, Rabiahtul Ade Amelia, Tasya Adidtya Perdana, Adidtya Aditia Sanjaya Ahyar, Khoirul Ananda Khosuri Angelina Prima Kurniati Anggraini, Nisa Putri Aqila Aqila, Aqila Azizul Azhar Ramli Azizul Azhar Ramli Bachruddin Saleh Luturlean Bakti Dwi Waluyo Darari, Muhammad Badzlan Daulay, Leni Karmila Dedy Kiswanto Dian Septiana Dimas Pebrian Supandi Esra Kristiani Sihite Ester Berliana Ritonga, Yolanda Eviyona Laurenta Br Barus Fadillah, Wahyu Nur Falah, Miftahul Fitri Rahayu Fitria, Nur Anisa Gea, Kurnia Mildawati Ginting, Manan Gunawan, Rizky Habibi, Rizki Haraha, Melyana Hariyanto HARIYANTO HARIYANTO Hariyanto Hariyanto Hariyanto, Hariyanto Hendriyana Hendriyana Heru Nugroho Husna Batubara, Shabrina Ida Ayu Putu Sri Widnyani Jodi Kusuma Juan Steiven Imanuel Septory Justaman Arifin Karo Karo Karo karo, Justaman Arifin Karo Karo, Justaman Arifin Landong, Ahmad Lorinez S, Yohana Manan Ginting Mardiana Mardiana Maretha Br. Simbolon, Silvana Maulana Malik Fajri Maulidna, Maulidna Melania Justice Panggabean Miftahul Falah Miftahul Falah Mohd Farhan Md Fudzee Mohd Farhan Md Fudzee Molliq Rangkuti, Yulita Mufida, Yasmin Muhammad Yusuf Mutiara Sihaloho, Laura Adelia Nasution, Aurela Khoiri Natasya, Amanda Nelza, Novia Nur Hafni Nurul Ain Farhana Nurul Ikhsan Panggabean, Suvriadi Permata Putri Pasaribu, Yohanna Purba, Desni Paramitha Putri Harliana Putri Maulidina Fadilah Ramadhani, Fanny Ramanti Dharayani Rangkuti, Y. M Reinaldo Kenneth Darmawan Rennyta Yusiana Retno Setyorini Roby Dwi Hartanto Rohmat Saragih Romia Romia Said . Iskandar Salsabila, Aqila Shahreen Kasim Shahreen Kasim Simamora, Elmanani Sisti Nadia Amalia Sri Dewi Sri Dewi Sri Dewi Sri Dewi Sri Suryani Supra Yogi Syahrin , Alvin Valentino, Bob Wahyu Nur Fadillah Wardhani Muhamad Warjaya, Angga Wibowo, Adinda Widi Astuti Winsyahputra Ritonga Yahya Peranginangin Yulita Molliq Rangkuti Yulita Molliq Rangkuti Yulita Molliq Rangkuti Yulita Molliq Rangkuti Yunianto Yunianto Yunianto Yunianto Yunianto Yunianto, Yunianto ZK Abdurahman Baizal