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All Journal Jurnal ICT : Information and Communication Technologies Jurnal Indonesia : Manajemen Informatika dan Komunikasi PUBLIDIMAS
Nasution, M. Irfan Aldy
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering

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ANALISIS PENENTUAN POLA DATA PENDUDUK BERHAK MENDAPAT BANTUAN MENGGUNAKAN ALGORITMA APRIORI Aliyah, Siti; Desi, Efani; Nasution, M. Irfan Aldy
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.185

Abstract

Data collection is a process of proving a research result which is used as the basis for studies and opinions. The problem of poverty has always been a fundamental problem that continues to be faced by society. With the problems that exist, the researcher uses a set of data by analyzing a number of population data in the database using data mining with the a apriori algorithm method to produce information. The a apriori algorithm calculation performed by the author retrieved 150 population data to be processed. the results of the research and discussion that have been carried out by researchers that the analysis process of determining population data patterns is entitled to assistance using the a apriori algorithm method can be seen based on a combination of 2 itemsets with a tendency value on unstable income and cement floors in houses with a minimum support value of 70% and minimum value of 84% confidence.
Pelatihan Perakitan Komputer Pada SMK Tritech Indonesia Hardianto, Hardianto; Wahyuni, Linda; Rosnelly, Rika; Nasution, M. Irfan Aldy; Harahap, Charles Bronson
Publikasi Pengabdian Masyarakat Vol 4 No 2 (2024): PUBLIDIMAS Vol. 4 No. 2 NOVEMBER 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i2.395

Abstract

In the current era of globalization, computers are data processing machines and calculating tools, where the results or output can be printed via a printer. Input, process and output of a computer are the work processes of the 3 most important elements, namely hardware, software and users. Before users use a computer, in terms of assembling a computer, they need to know how to put together the parts needed to run the computer properly. Knowing the functions of the hardware components so that there are no mistakes in assembling a computer. Although assembling a computer is basically quite easy, some research is needed to get good results. There are many different price and quality options for computer assembly components. By assembling a computer yourself, we can choose the type of components, features, and computer facilities that best suit our needs. Before assembling a computer, you must prepare well, especially if there is hardware and software installed. Assembling and installing a computer is an important step in creating and maintaining a reliable and effective computer system. To ensure optimal system performance and security, a thorough understanding of assembly and installation methods is essential.
Pemanfaatan Artificial Intelligence (AI) untuk Ide Penciptaan Karya Seni Berbahan Serbuk Kayu di CV. Rendy Hendicraft Soeheri, Soeheri; Setiawan, Adil; Nasution, M. Irfan Aldy; Akbar, Muhammad Barkah
Publikasi Pengabdian Masyarakat Vol 4 No 2 (2024): PUBLIDIMAS Vol. 4 No. 2 NOVEMBER 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i2.408

Abstract

The utilization of Artificial Intelligence (AI) in the creative industry has opened new opportunities to enhance innovation and efficiency. This study aims to explore the use of AI as a tool to generate creative ideas for wood powder-based art at CV. Rendy Hendicraft. The methodology includes experiments with generative AI tools such as Flux AI, DALL-E and MidJourney to produce initial designs, followed by a selection and adaptation process by local artists. The results demonstrate that AI can generate diverse innovative design patterns, including traditional carvings, geometric abstracts, and modern-traditional hybrid elements, which are then transformed into wood powder artworks. The collaboration between AI and humans accelerates the conceptualization phase and broadens creative perspectives. However, adapting AI-generated designs to the wood powder medium requires modifications to accommodate material characteristics, such as texture and structural durability. The impacts of this initiative include increased productivity for CV. Rendy Hendicraft, product diversification, and strengthened competitiveness in the craft market. This study concludes that integrating AI into the creative process does not replace human roles but acts as an innovation catalyst supporting the sustainability of local-based creative industries.
Implementation of the AHP Method in Decision Making for Stunting Management at the Sicanang Community Health Center UPT Using a Website Limbong, Robetauli Febriyanti; Nasution, M. Irfan Aldy
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.277

Abstract

Stunting remains a persistent public health challenge in Sicanang Village, where socioeconomic disparities and limited access to essential services continue to hinder effective intervention strategies. This study aims to identify and prioritize the key determinants of stunting using the Analytical Hierarchy Process (AHP) to support evidence-based decision-making for targeted interventions. Five criteria were evaluated—stunting prevalence, poor family conditions, maternal education, access to sanitation, and program support—based on expert judgment and field data. The results show that stunting prevalence (31.68%) and poor family conditions (29.43%) are the most influential factors, followed by program support (17.94%), maternal education (10.94%), and sanitation access (9.99%). The Consistency Ratio (0.0107) indicates that the weighting process is methodologically valid. At the sub-district level, Bahari Village and Pulau Bahagia obtained the highest priority scores (3.0161), while Pulau Sicanang ranked lowest (2.6776), highlighting the need for differentiated intervention strategies across locations. These findings underscore the importance of data-driven prioritization to optimize resource allocation, strengthen local health programs, and address the multidimensional determinants of stunting. The study provides a practical framework for policymakers to design targeted, context-specific interventions that can enhance the effectiveness of stunting reduction efforts in vulnerable communities.
Co-Authors Akbar, Muhammad Barkah Desi, Efani Harahap, Charles Bronson Limbong, Robetauli Febriyanti Mochammad Imron Awalludin Rika Rosnelly, Rika Setiawan, Adil Siti Aliyah Soeheri, Soeheri Wahyuni, Linda