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Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK)
Published by PT. Lentera Ilmu Publisher
ISSN : 30312698     EISSN : 30312698     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) adalah jurnal nasional berbahasa Indonesia yang dikelola oleh Lentera Ilmu Publisher. Jurnal ini memuat hasil penelitian dengan topik-topik penelitian yang berasal dalam cakupan rumpun sistem informasi seperti perancangan sistem informasi, analisis sistem informasi, tata kelola IT, sistem pengambilan keputusan (SPK) dan teknik informatika meliputi rekayasa perangkat lunak, kecerdasan buatan, machine learning serta bidang-bidang lainnya yang terkait ke dalam rumpun ilmu tersebut. Jurnal ini diterbitkan 2 kali dalam 1 tahun yakni pada bulan Februari, dan Agustus dengan periode penerimaan artikel sepanjang tahun. Artikel yang masuk ke jurnal ini akan di-review oleh mitra bestari sebelum diterbitkan. Proses review artikel dilakukan secara double blind review yang mana mitra bestari tidak mengetahui siapa penulis artikel tersebut dan juga sebaliknya penulis tidak mengetahui mitra bestari yang mereview artikel tersebut. Jurnal JAFOTIK merupakan jurnal akses terbuka (open access) sehingga seluruh artikel yang diterbitkan oleh jurnal ini dapat diakses kapan saja dan di mana saja oleh siapa saja tanpa dipungut biaya.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 1 (2024): JAFOTIK - February" : 5 Documents clear
Exploring User Satisfaction with Internet Services: A Pilot Test Investigation Wahyuni, Dian Siti
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 1 (2024): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i1.26

Abstract

This study investigates user satisfaction with Internet services provided by an Internet Service Provider (ISP) using the ITIL V3 framework, with a specific focus on the Service Operation domain. The research evaluates key service operation processes, including Event Management, Incident Management, Request Fulfillment, Problem Management, and Access Management. These processes are analyzed for their maturity levels and effectiveness in meeting user demands. Data collection involved assessing user feedback through targeted questions designed to measure the efficiency and reliability of these service operations. Validity and reliability tests were conducted, confirming that the indicators used in the study are both valid and reliable, with Cronbach’s Alpha values supporting the consistency of the measures. The findings highlight areas of strength and potential improvement for ISPs, offering actionable insights for enhancing service delivery and aligning with ITIL V3 standards to better meet user needs. The study emphasizes the importance of efficient service operations in maintaining high levels of user satisfaction.
Navigating the Frontier: Assessing the Extent of AI's Influence in Healthcare Erizo, Juan Jacob
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 1 (2024): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i1.27

Abstract

This study explores the integration of Artificial Intelligence (AI) into healthcare, examining its applications across various domains, including diagnostic imaging, personalized medicine, predictive analytics, and administrative workflows. AI has demonstrated significant potential to enhance the accuracy, efficiency, and accessibility of medical services. For instance, AI-driven diagnostic tools improve cancer detection, while AI in personalized medicine tailors treatments based on genetic data. However, challenges such as ethical concerns, data privacy, and the "black box" nature of AI algorithms pose barriers to its widespread adoption. The study employs a mixed-method approach, including literature reviews, expert interviews, and case studies, to assess AI's impact on healthcare. Results indicate that while AI has achieved notable successes, such as reduced diagnostic errors and improved patient outcomes, the implementation faces obstacles like staff AI literacy and high costs.
The Tender Auction System: Secure Transactions for Goods and Services Fangki, Rachman
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 1 (2024): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i1.28

Abstract

This study examines the development and implementation of a tender auction system designed to enhance the security, transparency, and efficiency of procurement processes. The shift from traditional paper-based tendering to electronic platforms has introduced both opportunities and challenges, particularly concerning transaction security. The research highlights the need for robust security measures to safeguard against fraud, data breaches, and other vulnerabilities that could compromise the integrity of the tendering process. Through a structured approach involving problem identification, literature review, system design, and rigorous testing, the study successfully develops a tender auction system that ensures secure transactions. The system’s functionality, including user authentication, data management, and reporting, was validated through blackbox testing, confirming its reliability. The findings underscore the system's effectiveness in maintaining secure and transparent procurement processes, contributing to greater trust among stakeholders.
Short Communication: Drug Discovery Advancements in The Artificial Intelligence Era Karimah, Fitrah; Ahmad
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 1 (2024): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i1.29

Abstract

Artificial Intelligence (AI) is significantly transforming drug discovery by enhancing efficiency and reducing costs. Traditional drug development has been slow and expensive, but AI's integration accelerates the process by predicting molecular interactions, identifying drug candidates, and optimizing formulations. Recent advancements highlight AI's role in molecular interaction prediction, target identification, lead optimization, and toxicity prediction. AI models, particularly deep learning algorithms, improve drug efficacy predictions and streamline virtual screening. They also address challenges in toxicity prediction by analyzing historical data to foresee adverse reactions, thus reducing late-stage failures. Despite its potential, AI faces challenges such as data quality and model interpretability. Future developments include advancements in explainable AI and the integration with personalized medicine, promising a revolution in creating more effective, tailored treatments while minimizing side effects. This short communication emphasizes AI's growing impact and the transformative opportunities it presents in modern medicine.
Decision Support System for Determining Underprivileged Communities as a Government Guide in the Family Hope Program Marindi, Elsa
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 1 (2024): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i1.30

Abstract

This study addresses the economic disparity in Indonesia by enhancing the selection process for beneficiaries of the Family Hope Program (PKH), a government initiative providing financial assistance to very poor households. Traditionally, the selection process is manual and prone to inefficiency and fraud. To improve objectivity and accuracy, a Decision Support System (DSS) utilizing the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed. TOPSIS ranks households based on multiple welfare criteria, such as income, housing conditions, and basic amenities, identifying those closest to the ideal solution. The system effectively prioritizes aid distribution by assigning a closeness coefficient to each household, enabling a more efficient allocation of resources. The results show that households with the highest coefficients, such as V1 (0.637367819), are prioritized for assistance, while those with lower scores, like V7 (0.139295032), are ranked lower. This method ensures that government aid reaches the most underprivileged communities.

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