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akbar iskandar
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Yayasan Cendekiawan Inovasi Digital Indonesia (CEDDI) Lembo Street, Rt.05/Rw.01, No.175 Makassar, Kel. Lembo, Kec. Tallo, Sulawesi, Indonesia, 90213, email: ceddidigital@gmail.com (or) admin@ceddi.id
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Ceddi Journal of Information System and Technology (JST)
Published by Yayasan Cendekiawan Inovasi Digital Indonesia
ISSN : 2829808X     EISSN : 28296575     DOI : https://doi.org/10.56134/jst.v1i1.1
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Ceddi Journal of Information System and Technology (JST) is a peer-reviewed journal that publishes articles through fair and transparent quality control. We understand that authors need facilities for their papers, whereas readers expect reliable information from these journals. Therefore, our editorial team and reviewers strive to maintain quality and ethics in the authorship and publishing of all articles. In principle, we strive to provide the best service for the research community around the world. We hope this journal can be a new source of insight and inspiration for future research. Ceddi Journal of Information System and Technology (JST) publish the best articles the results of research on issues of concern, the latest and the trend internationally. Submitted papers must be written in English at title and abstract of paper for the initial review stage by editors and further review process by minimum of two reviewers. The scope of the journal includes: - Information Systems - Web Application - Computer Network - Mobile Application - Game Development - Decision Support System - Big Data - E-Commerce - Cloud Computing - Data Mining
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2024): April" : 5 Documents clear
Information System for Personnel at the South Sorong District Regional Personnel Agency Office Ummiati Rahmah; Mahmud Mustapa; Wulansari, Lusiana; Mansyur; Harpa Pali
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 1 (2024): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i1.48

Abstract

Due to the increasing complexity of globalization and technological advancements, the adoption of HRIS (Human Resource Information System) has become a key priority for government bodies and similar organizations. HRIS plays a vital role in effectively managing the workforce, particularly in the public sector. This research aims to enhance the efficiency of personnel data management processes in South Sorong Regency. The primary focus is on ensuring the security of employee data storage. Extreme Programming is utilized as the system development method, encompassing design, development, coding, and testing stages. PHP is chosen as the programming language, with a MySQL database for data storage. The black box testing technique is employed to guarantee system functionality and reliability. The implementation of this application demonstrates smooth operation, with testing yielding a high satisfaction rate among respondents at 93%. Consequently, the system is deemed functionally sound in delivering the intended outcomes.
Design and Implementation of Computerized Restaurant Table Booking System Egigogo, Raji Abdullahi; Tijjani Naniya, Muhammad; Ahmad Abubakar, Abubakar; Almansir Mansir
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 1 (2024): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i1.64

Abstract

The dining landscape has transformed significantly with technological advancements, fundamentally altering how restaurants handle customer reservations. Traditionally, reservations were managed via phone calls or in-person visits, leading to issues like lengthy wait times, uncertain table availability, and limited communication channels. To address these challenges, this paper concentrates on crafting and implementing a Restaurant Table Booking System, aimed at streamlining reservations and enhancing customer experiences. Employing an agile software development methodology ensures flexibility, encourages customer input, and facilitates swift value delivery. Frontend development utilizes HTML, CSS, and Bootstrap for an intuitive user interface, while PHP and MySQL handle backend logic and database operations. Implementation emphasizes reliability and security through the Apache web server.
Forecasting of Flood in the Non-Tidal River of Northern Regions of Bangladesh Using Machine Learning-Based Approach Hasan, Md Khalid; Islam, Md Mofizul; Fahmida, Maisha
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 1 (2024): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i1.69

Abstract

Floods are among the most devastating natural disasters, causing extensive damage to property and posing a threat to human lives. However, significant progress has been made in mitigating their impact through the development of effective early warning systems. Over the past two decades, advances in machine learning (ML) technology have played a crucial role in enhancing the predictive capabilities of these systems. A recent study focused on predicting floods in non-tidal rivers by proposing various machine-learning models. The research findings indicate that the Random Forest algorithm emerges as the most effective, offering an accuracy of 87% with high precision, recall, and F1 scores, using an 80:20 training and testing data ratio. These findings provide valuable insights for hydrologists and make a significant contribution to flood forecasting and mitigation efforts. The study has significant implications for flood understanding and management, offering a better understanding of machine learning model performance in predicting floods in non-tidal rivers. This research provides a solid foundation for the development of more efficient early warning systems. The information gleaned from this study can be utilized by hydrologists, climate scientists, and other related practitioners to develop more accurate and reliable forecasting strategies in the face of flood threats. Thus, this research is not only a valuable scientific contribution but also a practical tool for future flood disaster risk mitigation efforts.
Waste Service Retribution Management in Selayar Islands Regency through Website-Based Solutions Wisda; Nuraida Latif; Apriana, Rezki; Neneng Awaliah; Kumar Vivek; Kamaruddin
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 1 (2024): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i1.78

Abstract

The waste retribution management system at the Environmental Service office in Selayar Islands Regency is currently suboptimal. Customers are required to register for waste collection in person at the office, and the payment process must be done through a collection officer who visits the customer's location. Additionally, there is no formal channel for customers to provide feedback on the waste services they receive. To address these issues, an application is proposed to streamline waste service usage for the community and facilitate reporting for Environmental Service employees. The study aims to design and implement an Application for Data Collection and Reporting of Waste Service Retribution at the Environmental Service of Selayar Islands Regency. The research utilized field research, library research, interviews, and documentation to gather relevant data. The research methodology employed was Rapid Application Development (RAD), which involves stages such as requirements planning, user design, development, and implementation. The findings of the study suggest that the proposed application is highly feasible, based on the results of the respondents' assessments. This application is envisioned to significantly improve waste service management and customer experience in Selayar Islands Regency.
Customer Segmentation Through RFM Analysis and K-Means Clustering: Leveraging Data-Driven Insights for Effective Marketing Strategy Akande, Oluwatobi; Asani, Emmanuel Oluwatobi; Dautare, Bestman Tobechukwu
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 1 (2024): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i1.81

Abstract

Consumer segmentation is a very effective methodology that could enable organizations to gain a deeper comprehension of their consumer base and customize their tactics accordingly in order to cater to their unique requirements. Through the process of categorizing clients according to common attributes, organizations can acquire valuable knowledge regarding their requirements, inclinations, and purchasing behaviors. This comprehension empowers firms to develop focused marketing strategies and provide customized experiences that foster customer loyalty and enhance revenue generation. The prevalent categories of criteria in consumer segmentation encompass demographic, psychographic, geographic, and behavioral factors, whilst the prevailing methodologies for constructing customer segments involve rule-based and cluster-based techniques. Rule-based segmentation involves the utilization of pre-established rules to allocate clients into distinct segments. Conversely, cluster-based segmentation employs statistical techniques to identify inherent clusters or groups within the customer population. This research investigates the application of the K-Means clustering technique for the purpose of segmenting customer behavioral data into several categories, namely Platinum, Gold, Silver, Bronze, or Bad. The clustering approach employed demonstrated a notable degree of accuracy and precision. Through the implementation of an appropriate strategy for customer segmentation, organizations have the potential to strengthen their product offers, concentrate their marketing communications, and augment client loyalty.

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