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All Journal Jurnal Teknologi Terpadu Jurnal Informasi dan Teknologi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing Journal of Information System and Technology (JOINT) Jurnal Masyarakat Indonesia Digital Transformation Technology (Digitech) Journal of Embedded Systems, Security and Intelligent Systems Jurnal Pustaka Robot Sister Indonesian Journal of Emerging Trends in Community Empowerment
Tar Muhammad Raja Gunung
Informatika, Universitas Satya Terra Bhinneka, Medan, Indonesia,
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Mathematics Mechanical Engineering

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Optimalisasi Literasi Digital sebagai Upaya Menanggulangi Hoax dan Pembangunan Masyarakat Kritis pada Perkumpulan Pemuda Pemudi Kampung Sejahtera Sukartara, Nirwansyah; Ramadhona, M. Rifqi; Monika, Eka Syafrina; Idaman, Akbar; Gunung, Tar Muhammad Raja
Indonesian Journal of Emerging Trends in Community Empowerment Vol. 2 No. 1 (2024): Juni
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/ijetce.v2i1.26

Abstract

Kampung Sejahtera is a densely populated area in the river basin of Medan City which often faces challenges in overcoming the spread of false information or hoaxes which can cause confusion and social loss. The lack of digital literacy among their members exacerbates this situation, so efforts are needed to improve their ability to manage digital information effectively. This service aims to optimize digital literacy among Kampung Sejahtera members in order to tackle the spread of hoaxes. Specifically, this service evaluates the current level of digital literacy, identifies types of hoaxes that often circulate, and develops and implements effective digital literacy programs. The effectiveness of the program is evaluated through post-training surveys and observation of member behavior after training. The service shows that members' initial digital literacy level is relatively low, especially in the ability to identify and counter hoaxes. The most frequently spread hoaxes include false information about health, politics and sensational news. After participating in the digital literacy training program, it is hoped that there will be a significant increase in members' ability to recognize and reduce the spread of hoaxes. They become more critical and careful in verifying information before sharing it. Optimizing digital literacy through appropriate training programs has proven effective in tackling hoaxes in Kampung Sejahtera.
Penerapan Metode K-Means untuk Optimalisasi Strategi Bisnis pada TB Rifky Berdasarkan Laris dan Tidak Laris Barang Lubis, Siti Sahara; Gunung, Tar Muhammad Raja; Muis, Abdul; Ningtyas, Alyiza Dwi; Siregar, Manutur Pandapotan
Journal of Information System and Technology (JOINT) Vol. 6 No. 3 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i3.11443

Abstract

Penelitian ini bertujuan untuk menganalisis dan mengelompokkan tingkat kelarisan stok barang pada Toko Bangunan (TB) Rifky agar dapat memberikan informasi yang berguna bagi pemilik usaha dalam pengambilan keputusan terkait pengelolaan persediaan dan strategi penjualan. Metode yang digunakan dalam penelitian ini adalah algoritma K-Means, yaitu salah satu metode klasterisasi dalam data mining yang bekerja dengan membagi data ke dalam beberapa kelompok (cluster) berdasarkan tingkat kemiripan antar data. Hasil pengelompokan menghasilkan dua kategori utama, yaitu kelompok barang laris yang terdiri dari Kawat Beton, Kaca, Kuas Cat, dan Kerikil/Split, serta kelompok barang tidak laris yang mencakup Semen, Pasir, Batu Bata, Besi Beton, Kayu, Keramik, dan berbagai bahan bangunan lainnya. Informasi yang diperoleh dari hasil analisis ini diharapkan dapat membantu pemilik TB Rifky dalam mengambil keputusan strategis terkait pengelolaan stok dan peningkatan penjualan. Keterbatasan penelitian ini terletak pada jumlah centroid yang digunakan, yaitu hanya dua (C1 untuk barang laris dan C2 untuk barang tidak laris), sehingga variasi informasi yang dihasilkan masih terbatas.
Smart Skincare: Expert System Based on Certainty Factors for Skin Type Identification and Product Selection Tar Muhammad Raja Gunung; Alyiza Dwi Ningtyas; Sengli Egani Sitepu; Vicky Rolanda; Abwabul Jinan
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.10015

Abstract

This study aims to develop an expert system for selecting skincare products based on skin type using the Certainty Factor method. This method is used to represent the expert's level of confidence in the symptoms that appear on the user's skin, so that the system can provide realistic diagnostic results that are close to human thinking. The research data was obtained through consultations with beauty experts and a review of dermatology literature. The test results show that the system is able to identify the user's skin type with varying degrees of certainty. For example, for patients with combination skin types, the system recommends appropriate skincare products such as Salicylic Acid Serum, Elshe Skin Acne Cleansing Wash, and Azarine Acne Gentle Cleansing Foam. Thus, this Certainty Factor-based expert system is expected to help individuals recognize their skin type and choose facial care products more accurately and effectively. Going forward, this system has the potential to be further developed with the integration of artificial intelligence technology and a broader product database to improve the accuracy and personalization of recommendations.
Analysis of COPRAS and ORESTE in Determining Superior Website Pages of Universities in Medan City Akbar Idaman; Tar Muhammad Raja Gunung
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i3.589

Abstract

This research aims to evaluate the quality of university web pages in Medan City using two decision-making methods, namely Complex Proportional Assessment (COPRAS) and Organization Rangement Et Syntest De Relatonnelles (ORESTE). University websites play a very important role in reflecting the identity, vision, and mission of the institution, as well as improving its reputation in today's digital era. However, not all universities in Medan have implemented optimal standards in managing their web pages. Therefore, the results of this study show that based on the COPRAS method, there are 3 top universities, namely Muhammadiyah University of North Sumatra (UMSU) ranked first with the highest score of 100.0000, followed by Quality University with a score of 93.7500 ranked second, and Harapan University Medan with a score of 91.4063 ranked third. Meanwhile, using the ORESTE method also ranked UMSU first with a score of 5.00, followed by Universitas Pembangunan Panca Budi in second place, and Santo Thomas Catholic University in third place with a score of 7.17. The similarity of the first rank between the two methods shows consistency in the recognition of the quality of the UMSU web page. However, differences were seen in the second and third rankings, where COPRAS ranked Universitas Quality and Universitas Harapan Medan, while ORESTE ranked Universitas Pembangunan Panca Budi and Universitas Katolik Santo Thomas. This difference reflects the different evaluation approaches of the two methods. The findings are expected to assist universities in Medan in developing more effective strategies for improving user experience and strengthening institutional reputation.
Optimalisasi Strategi Pengendalian Bercak Daun Curvularia sp. pada Pembibitan Kelapa Sawit di Desa Binanga Munawir Sajali Harahap; Emmi Juwita Siregar; Mustopa Husein Lubis; Ali Hamdani Harahap; Januardi Rosyidi Lubis; Tar Muhammad Raja Gunung
Jurnal Masyarakat Indonesia (Jumas) Vol. 3 No. 02 (2024): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v3i02.93

Abstract

The leaf staining disease caused by the fungus Curvularia sp. is a serious threat to palm coconut cultivation in Binanga Village. Surveys showed that the intensity of the attack reached 25-75% of the infected leaves, especially in seedlings aged <4 months. Humid environmental conditions, poor sanitation, and the use of infected seeds/seeds play a role in the spread of disease. Integrated control strategies combining healthy seeds/seedlings, environmental sanitation, alternate application of fungicides (azoxystrobin, mankozeb, chlorotalonil), insecticides (deltametrin, imidakloprid), and Gandasil D have proven effective. Implementing this strategy reduces the intensity of attacks by 80% and increases the percentage of healthy seedlings by 85%. Despite resource constraints, optimization of control strategies is carried out to the maximum extent possible. Strict monitoring, preventive measures, and planting of resistant varieties also play an important role. This research provides practical recommendations for increasing the production of high-quality palm coconut seedling sustainably in Binanga Village by implementing integrated control strategies against leaf spotted disease Curvularia sp.
Co-Authors Abdul Muis Abdul Muis Abwabul Jinan Abwabul Jinan Agung Prabowo Akbar Idaman Ali Hamdani Harahap Alyiza Dwi Ningtyas Amrullah Eldo, Handry Emmi Juwita Siregar Fadil Aulia Rahman Guslia Sari Nasution Hamjah Arahman Handry Eldo Iriene Putri Mulyadi Januardi Rosyidi Lubis, Lubis, Siti Sahara Monika, Eka Syafrina Munawir Sajali Harahap Mustopa Husein Lubis Ningtyas, Alyiza Dwi Purnomo, Nopi Ramadhona, M. Rifqi Riko Muhammad Suri Sengli Egani Sitepu Simanjuntak, Peter Jaya Negara Siregar, Manutur Pandapotan Sukartara, Nirwansyah Suri, Riko Muhammad Suryani, Dede Fika Vicky Rolanda