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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.
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.
Penerapan Konsep Dasar Aljabar Linear Dalam Pemecahan Sistem Persamaan Linear Daulay, Leni Karmila; Karo, Ichwanul Muslim Karo
Journal of Law, Education and Business Vol 3, No 1 (2025): April 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jleb.v3i1.5916

Abstract

Sistem persamaan linear merupakan topik penting dalam aljabar linear dan sering digunakan dalam berbagai bidang, seperti matematika, teknik, ekonomi, dan ilmu komputer. Penelitian ini membahas penyelesaian sistem persamaan linear dua dan tiga variabel menggunakan tiga metode utama, yaitu substitusi, eliminasi Gauss, dan invers matriks. Masing-masing metode memiliki langkah-langkah yang berbeda namun menghasilkan solusi yang sama jika diterapkan dengan benar. Hasil penelitian menunjukkan bahwa metode eliminasi Gauss dan invers matriks lebih efisien untuk sistem dengan jumlah variabel yang lebih banyak, sementara metode substitusi cocok digunakan untuk sistem sederhana.
Menyelesaikan Sistem Persamaan Linear Tiga Variabel Dengan Metode Eliminasi Nasution, Aurela Khoiri; Karo, Ichwanul Muslim Karo
Journal of Law, Education and Business Vol 3, No 1 (2025): April 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jleb.v3i1.5932

Abstract

Penelitian ini bertujuan untuk menjelaskan secara sistematis proses penyelesaian sistem persamaan linear tiga variabel menggunakan metode eliminasi. Aljabar linear merupakan cabang matematika yang memiliki banyak aplikasi dalam berbagai bidang seperti ekonomi, teknik, dan ilmu komputer. Metode eliminasi dipilih karena langkah-langkahnya yang logis dan mudah diterapkan, terutama dalam konteks pendidikan. Dalam penelitian ini digunakan data simulatif berupa transaksi pembelian tiga jenis barang oleh tiga konsumen. Hasil analisis menunjukkan bahwa metode eliminasi efektif dan akurat dalam menentukan harga satuan dari masing-masing barang. Penelitian ini diharapkan menjadi referensi praktis dalam memahami penerapan metode eliminasi secara manual, khususnya bagi mahasiswa dan pendidik matematika.
Penerapan Aljabar Linear Dalam Penyelesaian Sistem Persamaan Linear Menggunakan Metode Eliminasi Gauss Purba, Desni Paramitha; Karo, Ichwanul Muslim Karo
Journal of Law, Education and Business Vol 3, No 1 (2025): April 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jleb.v3i1.5920

Abstract

Sistem persamaan linear merupakan salah satu bagian penting dalam aljabar linear dasar yang memiliki banyak penerapan di berbagai bidang, mulai dari teknik, ekonomi, hingga ilmu komputer. Metode eliminasi Gauss merupakan salah satu pendekatan sistematis untuk menyelesaikan sistem persamaan linear secara efisien. Penelitian ini bertujuan untuk mendeskripsikan penerapan metode eliminasi Gauss dalam menyelesaikan sistem persamaan linear, melalui studi literatur dan analisis kasus. Hasil menunjukkan bahwa metode ini sangat efektif dalam menyelesaikan sistem dengan solusi unik, dan juga mudah diimplementasikan secara manual maupun melalui perangkat lunak. Dengan struktur langkah yang sistematis, metode ini memberikan solusi yang akurat serta menjadi dasar dalam pemrograman matematis.
IMPLEMENTASI ALGORITMA VEKTOR EIGEN DALAM SISTEM PENJADWALAN DINAS PERAWAT MENGGUNAKAN PYTHON Lorinez S, Yohana; Muslim Karo Karo, Ichwanul
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.14154

Abstract

Penjadwalan dinas perawat di rumah sakit adalah salah satu aspek kritis dalam manajemen rumah sakit yang mempengaruhi kualitas layanan kesehatan dan kesejahteraan perawat. Penjadwalan yang tidak optimal dapat menyebabkan ketidakpuasan perawat, kelelahan, dan kesalahan operasional yang berdampak negatif pada pelayanan pasien. Dalam penelitian ini, kami mengembangkan sebuah sistem penjadwalan dinas perawat dengan menggunakan algoritma vektor eigen untuk membuat shift kerja. Sistem ini mempertimbangkan beberapa faktor, termasuk preferensi perawat terhadap shift tertentu, keterbatasan perawat dalam bekerja pada shift tertentu, serta bobot biaya yang terkait dengan masing-masing shift. Matriks preferensi dan keterbatasan dikombinasikan dengan biaya shift untuk membentuk matriks koefisien yang kemudian dianalisis menggunakan metode vector eigen untuk memperoleh solusi proporsional dalam pembagian shift. Hasilnya, setiap perawat dijadwalkan untuk satu shift berdasarkan proporsi terbesar yang dihasilkan dari analisis tersebut. Visualisasi dalam bentuk heatmap digunakan untuk menggambarkan distribusi shift dan menunjukkan keseimbangan dalam pembagian tugas perawat. Penelitian ini bertujuan untuk memberikan solusi penjadwalan yang lebih efisien dan transparan, yang tidak hanya memenuhi kebutuhan rumah sakit, tetapi juga memperhatikan preferensi dan keterbatasan perawat, sehingga meningkatkan kepuasan kerja perawat dan operasional rumah sakit secara keseluruhan.
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 Bachruddin Saleh Luturlean Bakti Dwi Waluyo Darari, Muhammad Badzlan Daulay, Leni Karmila Dedy Kiswanto Dian Septiana Dimas Pebrian Supandi 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, Mohd Farhan 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 Ramli, Azizul Azhar 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, Shahreen Simamora, Elmanani Sisti Nadia Amalia 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 Yunianto Yunianto Yunianto Yunianto Yunianto Yunianto, Yunianto ZK Abdurahman Baizal