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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 6 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2025): April" : 6 Documents clear
Digital Receipts for a Greener Future: Web-Based Innovation in Toll Payment Systems Asriani; Mashuri Said; Ahmed H. Arnous
Ceddi Journal of Information System and Technology (JST) Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.79

Abstract

This study presents the implementation of a web-based digital receipt system in the transaction processes of PT. Makassar Metro Network and PT. Jalan Tol is a strategic response to operational challenges during the COVID-19 pandemic. The reliance on printed receipts led to increased operational expenses and issues in receipt management, including frequent loss and negative environmental impact. To address these issues, a web-based application was developed to facilitate access to digital receipts, aiming to reduce the use of thermal paper and improve cost efficiency. The research adopts the System Development Life Cycle (SDLC) methodology using the Waterfall model, which encompasses stages of planning, requirements analysis, system design, implementation, and maintenance. Testing results indicate that all application features functioned as intended, enhancing both accessibility and transaction efficiency. These outcomes suggest that digital receipts can significantly reduce environmental footprints and streamline operational workflows. Furthermore, the developed model offers potential for broader adoption across various industries seeking sustainable and digital transaction solutions. The integration of digital receipts thus emerges as a viable, eco-friendly alternative in the modernization of toll payment systems.
E-Learning Application Based on Learning Management System for Online Teaching Adaptation at State Vocational School Saltanat Meiramova; Imran, Andi Ahmad Ali; Mansyur; Syahrul; Mahmud Mustapa; Ahmed J. Obaid
Ceddi Journal of Information System and Technology (JST) Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.99

Abstract

The learning process at SMK Negeri 1 Bone (State Vocational High School 1 Bone) remains predominantly conventional, requiring physical interactions between teachers and students in the classroom. This limitation highlights the need for technological integration to enhance accessibility and flexibility in education. This study aims to design and implement an e-learning application based on a Learning Management System (LMS) to facilitate online learning adaptation at SMKN 1 Bone. The development follows the UML model, while system testing employs the black-box method. Data were collected through field research and literature reviews from various academic sources. The results of this study led to the development of an LMS-based e-learning application that significantly supports online learning implementation. A user effectiveness test involving 30 respondents yielded a 71.57% feasibility score, categorizing the system as viable. Furthermore, black-box testing confirmed the system's functional reliability. This research contributes to the global discourse on digital education by demonstrating the practical application of LMS technology in vocational education, offering insights into scalable solutions for enhancing learning accessibility and effectiveness worldwide.
Smart Office Implementation System for Electrical Energy Consumption Efficiency Using IoT-Based Fuzzy Algorithm M. Ikhsan U; Andani Achmad; Supriadi Sahibu; Nim Von-Lind
Ceddi Journal of Information System and Technology (JST) Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.110

Abstract

Increased electricity consumption in office environments often results in waste and inefficient costs. This study aims to develop an Internet of Things (IoT)-based Smart Office system using a fuzzy algorithm to improve electricity efficiency. The method used is the Research and Development (R&D) approach with the Continuous Improvement Spiral model. This system is designed by utilizing a DHT11 sensor for temperature and an LDR for light intensity, which is connected to an Arduino Nano as the main data processor. Data is processed using a fuzzy algorithm to control electronic devices, such as lights and fans, and monitored through the Blynk application. The results showed that the system was able to reduce electricity consumption from 63.57 kWh to 41.32 kWh, with significant savings in monthly electricity costs. The average sensor accuracy reached 99.40% for DHT11 and 96.36% for LDR. This system makes a positive contribution to energy efficiency and is a sustainable solution for office environments.
Internet of Things (IoT) Based Air Pollution Detector for Baby Rooms Najmawatih; Imran Taufik; Supriadi; Anders Christensen
Ceddi Journal of Information System and Technology (JST) Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.111

Abstract

Indoor air pollution is a leading cause of respiratory illnesses in infants and children, potentially resulting in severe health outcomes, including death. Common sources include dust, cigarette smoke, cleaning chemicals, and hazardous gases such as carbon monoxide (CO) and nitrogen dioxide (NO₂), particularly in enclosed, air-conditioned (AC) environments. Due to the difficulty of detecting pollutants like fine particulate matter (PM2.5) and CO, an effective, real-time monitoring solution is crucial. This study aims to design and develop an Internet of Things (IoT)-based device capable of monitoring PM2.5, CO, temperature, and humidity, specifically in infant rooms. The system integrates an ESP32 microcontroller with DSM501a, MQ-7, and DHT22 sensors and features automated alerts via a Telegram bot when pollutant levels exceed predefined thresholds. The device was evaluated through a comparative 24/7 testing method over seven days against commercially available standard instruments. Results show a relative error of 25% for PM2.5, 30% for CO, and significantly lower errors for temperature (2%) and humidity (0%). Sensor data is processed and transmitted to the Thingspeak server for real-time graphical monitoring. The Telegram alert feature demonstrated an average response time of 1.84 seconds across 20 tests. The findings suggest that the proposed device offers a viable, accessible, and responsive solution for indoor pollutant detection, contributing to improved air quality monitoring and early warning systems to protect vulnerable populations, especially infants.
A Review of Deep Belief Networks in Intrusion Detection Systems: Applications, Optimization Techniques, and Dataset Utilization Sule Aishat A.; Alhassan John K.; Ismaila Idris; Alabi Isiaq O.; Subairu Sikiru O.
Ceddi Journal of Information System and Technology (JST) Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.114

Abstract

As reliance on the Internet and interconnected systems for essential services continues to grow, the need for strong cybersecurity defenses has become more pressing. Intrusion Detection Systems (IDS) are crucial in safeguarding these digital infrastructures. This paper investigates how Deep Belief Networks (DBNs) can enhance IDS capabilities, particularly in identifying advanced and dynamic threats such as Distributed Denial of Service (DDoS) attacks, SQL injections, and zero-day vulnerabilities. By reviewing recent research, we explore how DBNs have been applied in IDS contexts, examine optimization methods like layer-wise pre-training and dropout regularization that contribute to better detection performance, and evaluate commonly used benchmark datasets including UNSW-NB15, NSL-KDD, and CSE-CIC-IDS2018. This study compiles empirical evidence to assess DBNs' performance across varied network conditions and traffic types. Findings suggest that DBNs are effective in learning complex data patterns and improving the detection of anomalies. Nonetheless, challenges such as interpretability, high computational requirements, and the limitations of existing datasets continue to hinder widespread adoption. This work adds to the ongoing cybersecurity discourse by outlining major developments, constraints, and future directions for DBN-powered IDS. It ends by proposing strategic improvements, including the development of more efficient models, broader dataset coverage, and real-time, adaptive integration to support smarter and more responsive IDS solutions.
Development of Cash and Operational Expenditure Reconciliation Information System for Official Financial Management with Agile Methods Maulana, Muhammad Sony; Ali Mustopa; Agung Sasongko; Ravi Manisha; Steven
Ceddi Journal of Information System and Technology (JST) Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.123

Abstract

Government agencies often encounter challenges in enhancing the efficiency and accuracy of financial report management, particularly in the cash reconciliation process. This study, conducted at the Regional Financial and Asset Management Agency (BPKAD) of Mempawah Regency, addresses the inefficiencies of traditional reconciliation methods that require face-to-face interactions and up to two working days to complete. The research aims to develop the Official Cash and Operational Expenditure Information System (SIKASBON) using the Agile methodology, enabling a more responsive, flexible, and user-oriented financial data synchronization process. The system was developed through a structured approach involving requirement analysis, design, development, testing, deployment, and review. System evaluation using the System Usability Scale (SUS) yielded an impressive average score of 85.2, categorized as A+ (Best Imaginable). The findings demonstrate that SIKASBON significantly improves transparency and efficiency in managing cash and operational expenditures. Most notably, the time required for reconciliation was reduced from two working days to just 10 minutes. This research contributes to the digital transformation of public financial management by offering a scalable solution that aligns with user needs and promotes accountability in government operations.

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