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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Ensiklopedia Education Review Jurnal Mantik Journal of Applied Engineering and Technological Science (JAETS) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Computer System and Informatics (JoSYC) INFOKUM Brahmana : Jurnal Penerapan Kecerdasan Buatan Instal : Jurnal Komputer Jurnal Sains Teknologi dan Sistem Informasi Jurnal Info Sains : Informatika dan Sains Journal of Research in Social Science and Humanities International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Minfo Polgan (JMP) pendidikan, science, teknologi, dan ekonomi Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Nasional Teknologi Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Journal of Artificial Intelligence and Digital Business Indonesian Journal of Education And Computer Science Journal of Technology and Computer (JOTECHCOM) Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) International Journal of Industrial Innovation and Mechanical Engineering Jurnal Bisantara Informatika Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies Jurnal Pengabdian Kepada Masyarakat Teknologi Informasi dan Komunikasi Jurnal Publikasi Ilmu Komputer dan Multimedia
Muhammad Syahputra Novelan
Universitas Pembangunan Pancabudi
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Fault Detection And Recovery System On 20 Kv Distribution Network Using Real-Time Analysis With Support Vector Machine Algorithm Afrizal, Henri; Zulham Sitorus; Muhammad Syahputra Novelan
Bahasa Indonesia Vol 18 No 02 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i02.494

Abstract

The 20 kV distribution network is crucial for ensuring the uninterrupted supply of power to users in the PT. PLN UP2D North Sumatra Region. Disruptions in this network, including short circuits, overloads, and transient disturbances, can diminish system reliability and prolong outage durations if not promptly identified and rectified. This study seeks to develop a disturbance detection and recovery system for a 20 kV distribution network utilizing real-time analysis through the Support Vector Machine (SVM) algorithm. The system is designed by utilizing real-time electrical parameter data, including current, voltage, and network operational conditions, sourced from monitoring devices. The data undergoes preprocessing, feature extraction, and classification stages utilizing SVM to differentiate between normal and fault circumstances. The classification outcomes serve as the foundation for decision-making in isolating the fault zone and restoring supply to the unaffected segments of the network. The system's performance is assessed according to detection accuracy, response speed, and its capacity to facilitate the disturbance recovery process both automatically and semi-automatically. This research aims to enhance the dependability of the 20 kV distribution network, expedite fault resolution, and facilitate the advancement of a more intelligent, efficient, and responsive electrical distribution system.
Application of the K-Nearest Neighbor Algorithm in the Data Mining Process to Predict Drug Sales at Pratama Haji Medan-Pancing Clinic Indra Nasution; Rezkinah Rambe; Khairil Putra; Muhammad Dafa; Muhammad Syahputra Novelan
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 2 (2025): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i2.4081

Abstract

Pratama Haji Medan-Pancing Clinic is a healthcare facility that routinely sells medications to patients. However, the current manual drug inventory management process poses risks such as delayed procurement and overstocking. To address this issue, this study aims to implement a data mining approach using the K-Nearest Neighbor (KNN) algorithm to predict drug sales at Klinik Pratama Haji Medan-Pancing. A quantitative research method was employed, utilizing historical drug sales data from the past two to three years. The data underwent a thorough process of assessment, cleaning, and transformation before being processed using the K-Neighbor Classifier from the scikit-learn library. The results demonstrated that the KNN method achieved a prediction accuracy rate of 88.9%, indicating its effectiveness in forecasting drug sales. By implementing this predictive system, Klinik Pratama Haji Medan-Pancing can improve the efficiency of inventory management, reduce the risk of stock shortages or surpluses, and support faster, data-driven decision-making. In conclusion, the KNN algorithm proves to be a feasible predictive solution for drug sales systems in clinics and holds potential for further development in intelligent and integrated pharmacy management.
Co-Authors ', Khairunnisa , Arpan Adi Putra Adli Abdillah Nababan Adli Abdillah Nababan Afif Badawi Afif Yasri Afrizal, Henri Al Fayed, Ahmad Jihad Aldy Agustian Alfarizi, Nauval Amin, Muhammad Aminuddin Indra Permana Andri Saputra Andysah Putera Utama Siahaan Antoni, Robin Anugrah, Maisya Fitri Aprilia, Katharina Tyas Aqsha, Muhammad Hizbul Ardiansyah ARDIANSYAH ARDIANSYAH Aria Dhanu Tirta Arpan Aurelia, Cindy Aisha Ayumi Kartika Sari Ayumi Kartika Sari Bayu Angga Wijaya Daniel Panjaitan Darmeli Nasution Datin, Maha Valne Defri Abdul Majid Nasution Dian Kurnia Fachri, Barany Fajri Razak Fathia, Aulia Ukhti Febby Sittah Gunawan Fitri Anugrah, Maisya Gunawan, Andri Harahap, Nur Azizah Hardinata, Rio Septian Harefa, Ade May Luky Haryadi, Patrialman Heri Eko Rahmadi Putra Hermanto Ibnu Gunawan Ilka Zufria Indra Nasution IQBAL , MUHAMMAD Irhami, Zahara Reva Islam, Muhammad Remanul Jacky Lius Juliyandri Saragih Khairil Putra Khumairoh, Annisa KIKI WULANDARI Lewika Tampubolon Limbong, Yohannes France Lubis, Syaiful Rahman Lydia, Prima Mestika, Dani Mufida Padilla, Eva Muhammad Dafa Muhammad Iqbal Muhammad Rasyid Ridha Muhammad Rizki Muhammad Wahyudi Muhammad Zen, Muhammad Muhardi Saputra Nasution, Abdul Muin Nasution, Indra Norita Tampubolon P Pardede, Surya Maruli Padilla, Eva Mufida Penggabean Siahaan Perianus lombu Prayogi, Dhimas Putra, Purwa Hasan Putri, Ranti Eka Rahmat Idhami Raja Nasrul Fuad Rambe, Siska Mayasari Ramlan Marbun Rezki, Rahmat Rezkinah Rambe Rido Favorit Saronitehe Waruwu Rio Septian Hardinata Rizal, Chairul Rizko, M. Azhari Rizky Putro Nugroho Dwi Cahyo Robet Silaban Safii, Aidul Safi’i, Aidul Sari Harahap, Nurlina Sella Monika Br Tarigan Selvida, Desilia Septiansyah, Yudha Setiawan, Ahmad Deni Setiawan, Albin Simanullang, Rahma Yuni Sinurat, Satria Siregar, Andree Rizky Yuliansyah Sitepu, Andri Ismail Sitepu, Nabila Putri Br Siti Aisyah Sitorus , Zulham Sitorus, Irwansyah Putera Sitorus, Zulham Solly Aryza Suhendar - Surya Darma Suteja, Ade Guna Sutiono, Sulis Syafitri, Febry Dwi Syahputra, Zulfahmi Syahputri, Maulisa Syahri, Rahma Taufa Fadly Uc Mariance Utari Utari Wanny, Puspita Wijaya, Rian Farta Wiwik Handayani Zailani Sinabariba Zulfahmi Syahputra Zulfahmi Syahputra Zulfahmi Syahputra