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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. 1 No. 2 (2023): JAFOTIK - August" : 5 Documents clear
Optimizing Educational Delivery: Cloud-Based Solutions for Effective Distance Learning Ahmad, Asiyah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 1 No. 2 (2023): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v1i2.16

Abstract

This paper explores the transformative role of cloud-based technology in revolutionizing distance education, emphasizing its pivotal significance in a rapidly evolving educational landscape. Amid global challenges and technological advancements, particularly in cloud computing, the paper underscores the critical role cloud technology plays in optimizing learning material delivery and fostering interactions within the educational sphere, especially in the context of distance learning. Through an in-depth analysis, this study investigates the adoption and optimization of cloud-based technology by educational institutions to surmount accessibility barriers, elevate learning quality, and offer more interactive and inclusive learning experiences. By evaluating the adaptability of cloud-based solutions, the paper highlights their potential not only in facilitating learning but also in stimulating innovation within the education sector. Moreover, the research delves into essential elements such as security, infrastructure, and technical support necessary for successful cloud technology implementation in educational environments. As a foundational exploration, this study provides valuable insights and guidance, laying the groundwork for further research aimed at achieving more effective and inclusive education in the digital era.
AHP-based Selection of Outstanding Students Utami, Dian Retno
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 1 No. 2 (2023): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v1i2.17

Abstract

The decision support system employs the Analytical Hierarchy Process (AHP) method to enhance the selection of outstanding students at SMA Muhammadiyah 8 Palembang. This system acknowledges the limitations of the current evaluation process, which relies solely on academic scores and aims to rectify this by integrating additional factors like attendance, behavior, and non-academic achievements. The AHP method's systematic breakdown of criteria and sub-criteria, supported by figures and tables, elucidates the decision-making process, ensuring a more comprehensive evaluation framework. The development of this system follows the Waterfall model, emphasizing sequential phases from analysis to implementation, yet acknowledging its challenges in accommodating evolving requirements. The method section expounds on the AHP process, delineating its steps in structuring problems, conducting pairwise comparisons, creating priority matrices, and arriving at conclusive decisions. It also outlines the hierarchical model and the subsequent ranking of alternatives, showcasing how the AHP method facilitates a fairer assessment of outstanding students. The conclusion underscores the system's functionality, validated through Black Box testing, affirming its alignment with initial expectations. Overall, this comprehensive approach advocates for a more holistic method of identifying outstanding students.
Naive Bayes-based Visualization of Disease-related Data in Muara Telang Public Health Centers Yansah, Nopri
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 1 No. 2 (2023): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v1i2.18

Abstract

This study addresses the imperative need for active and efficient management of Community Health Centers (Puskesmas) in Indonesia, as mandated by the Minister of Health's Regulation. The role of these centers in managing and planning health development within their work areas is crucial for comprehensive, integrated, acceptable, and affordable health efforts. The utilization of visualization, particularly through computer technology, emerges as a vital tool for conveying complex health data to the public, facilitating quicker understanding and informed decision-making. Focusing on the Sumber Marga Telang Health Center in South Sumatra Province, the research employs a structured waterfall model for system development. The Naive Bayes algorithm is utilized to classify internal and eye diseases, offering a practical solution to the challenge of conveying disease data to the public effectively. In conclusion, this research provides a comprehensive approach to enhancing health information dissemination and data visualization at community health centers, contributing significantly to public awareness and preventive healthcare efforts.
Leveraging Open Data with Machine Learning Algorithms Amirah; Karimah, Fitrah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 1 No. 2 (2023): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v1i2.19

Abstract

In the evolving landscape of technology, the amalgamation of open data and machine learning stands as a powerful catalyst for innovation. This study explores the dynamic synergy between these domains, where open data's accessibility and transparency converge with machine learning's pattern recognition and predictive capabilities. The fusion holds immense promise across diverse sectors, from healthcare to finance, urban planning, and environmental science. By leveraging advanced algorithms on openly available information, organizations can gain unprecedented insights into trends, correlations, and anomalies, fostering a culture of innovation. The methodology involves a comprehensive literature review, knowledge enrichment, case studies, and conclusion, providing a systematic approach to understanding the intersection of open data and machine learning. The results showcase practical applications in predictive policing, healthcare resource allocation, smart traffic management, and more. Each application is supported by relevant machine learning algorithms, emphasizing their role in addressing complex challenges. The study culminates with a simplified example of predictive policing using a Support Vector Machine (SVM) algorithm, showcasing its pseudocode and decision function equation. This example illustrates how machine learning can predict crime occurrences based on patrol data and historical crime rates. Overall, this fusion marks a pivotal chapter in technological progress and societal advancement.
Administrative Service System for the Community in Tanjung Kerang Village Zamrozi, Adi; Sanmarino, A
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 1 No. 2 (2023): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v1i2.20

Abstract

In this study, the challenges faced by Tanjung Kerang Village in providing optimal community administration services using conventional methods are highlighted. The village, despite having a relatively large population, faces issues such as long queues, delays due to forgotten requirements, and difficulties in accessing data for administrative processes. To address these challenges, the study proposes the implementation of a community service administration information system using the Prototype Model in software development. The Prototype Model, characterized by quick iterations, user involvement, and continuous refinement, is chosen as the methodology for system development. This approach allows for the creation of a preliminary version of the software that undergoes testing and refinement in multiple cycles. The iterative nature of the model, coupled with user feedback, facilitates the gradual convergence towards a final, fully functional system. In conclusion, the Prototype Model proves instrumental in addressing the identified challenges, offering a systematic and iterative approach to enhance community administration services. The proposed information system has the potential to significantly improve service delivery, making it more effective and efficient for both administrators and the community.

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