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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Informatika INFOKUM Bulletin of Computer Science and Electrical Engineering (BCSEE) Nusantara Hasana Journal Instal : Jurnal Komputer Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Mejuajua Jurnal Minfo Polgan (JMP) Outline Journal of Community Development International Journal for Advanced Research Jurnal Pemberdayaan Kepada Masyarakat
Aripin Rambe
Universitas Battuta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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The Significant Rise In Cybercrime Can Be Attributed To Vulnerabilities In Cybersecurity Ellanda Purwawijaya; Dinur Syahputra; Aripin Rambe; Junerdi Nababan
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13490

Abstract

In today's world, our dependence on computers extends to even the most basic daily tasks. As users, we consistently engage with computers for activities such as communication, data sharing, information retrieval, social interactions, and more, all conducted over networks. It is evident that the network connecting various devices globally, including servers, computers, laptops, mobile phones, etc., serves as the fundamental technology facilitating these tasks. However, this interconnected system poses a significant threat in the form of cybercrime. Despite the implementation of cybersecurity measures throughout the network, there exist flaws and obstacles that compromise security, leading to the occurrence of these crimes. One can envision the relationship between cybercrime and cybersecurity as a ratio, with cybercrime holding the higher value. This variable is steadily increasing at a greater rate than cybersecurity, indicating a growing imbalance between the two.
PELATIHAN PENGGUNAAN ARDUINO UNO DAN SENSOR UNTUK MENDUKUNG PROFIL PELAJAR PANCASILA DI SMK HARAPAN MEKAR 1 MEDAN Muhammad Furqon Siregar; Aripin Rambe; Chairul Imam
Nusantara Hasana Journal Vol. 6 No. 1 (2026): Nusantara Hasana Journal, June 2026
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v6i1.2235

Abstract

This activity is very important to provide additional skills to SMK Harapan Mekar 1 Medan, especially in terms of social communities, flood disasters, and automatic irrigation systems. This Community Service (PkM) activity aims to improve technological understanding for teachers and students of SMK Harapan Mekar 1 Medan through training in the use of Arduino Uno and sensors. The background of this activity is the lack of additional skills programs that support technology-based learning and relevant innovation. The method used is Participatory Action Research (PAR) with a Project-Based Learning (PjBL) approach, which actively involves participants in designing and implementing sensor-based projects. The results of this activity show a clear increase in participant competency, with an average post-test score (84.57) higher than the pre-test (67.50). The training evaluation shows that 75% of participants successfully completed the final project that combines Arduino Uno and ultrasonic sensors and automatic alarm sensors into a prototype automation system. In addition, 75% of participants also successfully completed a simple project prototype, such as an automatic alarm system. This activity shows that the use of Arduino Uno and sensors can be an effective tool in developing critical and creative thinking skills, while supporting the Pancasila Student Profile.
Enhancing Cybersecurity Resilience with AI-Powered Threat Detection Systems Sattar Rasul; Aripin Rambe; Roy Nuary Singarimbun
International Journal For Advanced Research Vol. 1 No. 3: October 2024
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/6fch4r18

Abstract

Cybersecurity is a major concern across sectors given the increasing complexity of digital threats. This study evaluates the application of an AI-powered threat detection system to improve an organization’s cybersecurity resilience. By leveraging technologies such as Machine Learning (ML) and Deep Learning (DL), the system is able to detect new threat patterns and respond in real-time. The study shows that the AI-powered system has an accuracy rate of up to 95% in detecting threats, reducing the average response time from 4 hours to less than 30 minutes, and reducing false positives by 40%. The results also revealed that AI can detect 87% of new, unregistered threats. However, the adoption of this technology faces challenges, such as high implementation costs, reliance on quality data, and the risk of AI-based adversarial attacks. The study recommends mitigation strategies, including adversarial-based training, careful data management, and investment in AI infrastructure. The study concludes that the application of AI provides an adaptive and effective solution to improve cybersecurity resilience despite the challenges that must be overcome.
Penerapan Algoritma K-Nearest Neighbor untuk Klasifikasi Produk Terlaris pada Usaha Mikro M. Asyari Syahab; Aripin Rambe; Baginda Harahap; Dinur Syahputra
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16298

Abstract

Penelitian ini bertujuan untuk menerapkan algoritma K-Nearest Neighbor (KNN) dalam mengklasifikasikan produk terlaris pada Kafe Anugerah Kupi sehingga dapat membantu pengambilan keputusan terkait pengelolaan stok dan strategi pemasaran. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan Data Mining menggunakan tahapan Knowledge Discovery in Database (KDD) yang meliputi seleksi data, pembersihan data (data cleaning), transformasi data, proses klasifikasi menggunakan algoritma K-Nearest Neighbor (KNN), serta evaluasi hasil klasifikasi. Data penelitian diperoleh dari data historis penjualan produk pada Kafe Anugerah Kupi dengan atribut yang digunakan meliputi jumlah penjualan, frekuensi pembelian, dan stok produk. Proses klasifikasi dilakukan menggunakan nilai K = 3 dan pengukuran jarak menggunakan metode Euclidean Distance. Hasil penelitian menunjukkan bahwa algoritma K-Nearest Neighbor (KNN) berhasil mengklasifikasikan produk ke dalam tiga kategori, yaitu Terlaris, Cukup Laris, dan Kurang Laris. Dari hasil pengolahan data diperoleh sebanyak 10 produk kategori Terlaris, 6 produk kategori Cukup Laris, dan 12 produk kategori Kurang Laris. Hasil evaluasi model menggunakan Confusion Matrix menunjukkan tingkat akurasi sebesar 77,78%, yang menandakan bahwa algoritma KNN memiliki performa yang cukup baik dalam melakukan klasifikasi produk terlaris pada Kafe Anugerah Kupi. Berdasarkan hasil penelitian dapat disimpulkan bahwa penerapan algoritma K-Nearest Neighbor (KNN) mampu membantu proses klasifikasi produk terlaris secara efektif dan dapat dijadikan sebagai pendukung keputusan dalam pengelolaan produk, pengendalian stok, dan strategi pemasaran pada usaha mikro.
Co-Authors Baginda Harahap Chairul Imam Dewi Wahyuni Dinur Syahputra Dinur Syahputra Eka Hayana Hasibuan Eka Hayana Hasibuan Ellanda Purwawijaya Fithrie Soufitri Juliansyah Putra Tanjung Junerdi Nababan Leni Indrayani M. Asyari Syahab Melky Suhery Simamora Muhammad Furqon Siregar Muhammad Konginta Lubis Muhathir, Muhathir Roy Nuary Singarimbun Roy Nuary Singarimbun ruziq, fahmi Sattar Rasul