cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ahmad Sanmorino
Contact Email
admin@lenterailmu.com
Phone
+6289523504235
Journal Mail Official
admin@lenterailmu.com
Editorial Address
Jl. Jend. Sudirman No 001, RT/RW 001/007 Muara Dua, Kota Prabumulih, Sumatera Selatan
Location
Kota prabumulih,
Sumatera selatan
INDONESIA
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 30 Documents
 1   2   3 
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.
The utilization of cloud-based servers in a college to optimize resource management Putra, M Ruly
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 2 (2024): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i2.38

Abstract

This article explores the transition of colleges from traditional physical servers to cloud-based servers to enhance resource management. As educational institutions seek to improve efficiency, scalability, and cost-effectiveness, cloud computing presents a promising alternative. By centralizing data storage, computing power, and network capabilities in the cloud, colleges can reduce physical infrastructure needs, lower maintenance costs, and optimize space utilization. Cloud solutions also offer advanced security features, crucial for protecting sensitive academic data. Despite these benefits, challenges such as data privacy, regulatory compliance, and the need for cultural adaptation within the institution must be addressed. Through a detailed assessment of existing IT infrastructure, stakeholder surveys, and pilot implementations, this study highlights how cloud-based servers can alleviate current inefficiencies and support a more sustainable resource management strategy. The findings suggest that transitioning to cloud services can significantly improve operational performance and stakeholder satisfaction, ultimately contributing to a more resilient and adaptable educational environment.
A management information system for village health centers enhances the efficiency of healthcare delivery Selli
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 2 (2024): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i2.39

Abstract

The implementation of a Management Information System (MIS) in village health centers addresses the significant challenges posed by traditional paper-based record-keeping, limited resources, and inconsistent patient care. Village A, for example, benefits from a transition to integrated digital record-keeping, which ensures accurate data entry, reduces patient wait times, and enhances the overall efficiency of healthcare services. The MIS also improves supply chain management by tracking inventory in real-time, ensuring essential medical supplies are consistently available. Additionally, the system optimizes staff scheduling, mitigating the impact of staff shortages. In other villages, the MIS enhances the reliability of Electronic Health Records (EHR), merges paper and digital records for better accuracy, and introduces queue management systems to streamline patient flow. By addressing these challenges, the MIS significantly improves healthcare delivery, making it more efficient, responsive, and capable of meeting the specific needs of rural communities. This tailored approach not only enhances patient care but also strengthens the overall functionality of village health centers.
E-learning platforms for boarding schools Karimah, Fitrah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 2 (2024): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i2.40

Abstract

This study examines the adoption and impact of e-learning platforms in boarding schools. Boarding schools present unique educational challenges, making them a compelling case for exploring the effectiveness of digital learning solutions. The study begins with a comprehensive needs assessment involving stakeholders such as administrators, teachers, students, and IT staff. Key areas of focus include technological infrastructure, internet accessibility, and digital literacy levels. The study then moves to the implementation phase, piloting an e-learning platform in select schools to evaluate its effectiveness. Results indicate significant challenges, including outdated infrastructure and varying levels of digital literacy. However, e-learning platforms show promise in enhancing educational outcomes by offering interactive content and improving communication. The study compares different platforms, such as Google Classroom, Moodle, and Microsoft Teams, to determine the most suitable options for these institutions. Findings suggest that while some platforms are more user-friendly, others offer robust customization and scalability, making them better suited for the specific needs of boarding schools.
The Preliminary Study for Budget Monitoring System in Government Agencies Humairoh, Nayu; Ahmad
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 2 (2024): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i2.41

Abstract

This study explores the critical role of budget monitoring systems in enhancing financial management and accountability within government agencies. Traditional budget monitoring methods, often reliant on outdated software and manual processes, are increasingly inadequate, leading to inefficiencies and errors. The study identifies a pressing need for automated systems that provide real-time data and better integration with existing financial tools. Through a comprehensive needs assessment, literature review, and stakeholder analysis, the research highlights the benefits of adopting modern budget monitoring systems, including improved transparency, efficiency, and decision-making. However, successful implementation requires addressing challenges related to user adoption, training, and the alignment of technology with current infrastructure. The findings underscore the importance of strong leadership and phased implementation to ensure that these systems effectively meet the financial oversight needs of government agencies.
Ethical and Legal Implications of AI in Decision-Making Zahra, Y; Amirah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 2 (2024): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i2.42

Abstract

This study explores the ethical and legal implications of integrating artificial intelligence (AI) into decision-making processes across various industries. As AI systems become increasingly prevalent, concerns arise regarding their transparency, fairness, and accountability. The study reviews examples from healthcare, finance, criminal justice, human resources, and retail to highlight issues such as bias, lack of transparency, and privacy concerns. Current regulations often inadequately address the unique challenges posed by AI, particularly regarding accountability and the ethical use of personal data. By developing a comprehensive framework that integrates ethical principles—such as fairness, justice, and autonomy—with legal concepts like liability and data protection, the study proposes practical solutions to mitigate these risks. The findings underscore the need for enhanced oversight, rigorous validation, and transparent practices to ensure AI systems are used responsibly, thereby aligning technological advancements with ethical and legal standards.

Page 2 of 3 | Total Record : 30

 1   2   3 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2025): JAFOTIK - August Vol. 3 No. 1 (2025): JAFOTIK - February Vol. 2 No. 2 (2024): JAFOTIK - August Vol. 2 No. 1 (2024): JAFOTIK - February Vol. 1 No. 2 (2023): JAFOTIK - August Vol. 1 No. 1 (2023): JAFOTIK - February