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Journal : Ceddi Journal of Information System and Technology (JST)

Web-based STMIK AKBA Student Attendance Information System by Making QR Codes an Auxiliary Medium Iskandar, Akbar; Rahim, Robbi; Matturungan, Harfawan; Mansyur
Ceddi Journal of Information System and Technology (JST) Vol. 1 No. 2 (2022): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v1i2.22

Abstract

The attendance or attendance system is a recording or provision of information on a person's presence which indicates that the person has provided information about his presence and absence, then it is stated in the form of an attendance report. Along with the development of technology, an attendance recording has also developed, where we used to use paper attendance to fingerprint attendance. In educational institutions such as campuses, attendance has an important role in the process of developing a student. Until now, there are still many campuses that still use conventional attendance to record the presence of students in class, which allows for human error or fraud from both lecturers and students. Therefore, a solution is possible to suppress errors that may occur, namely by creating a website-based attendance or attendance system where the QR Code is used as an auxiliary medium in recording the presence or absence of a student at the STMIK AKBA Makassar Campus.
Digital Forensic Evidence Analysis In Revealing Defamation On Social Media (Twitter) Using The Static Forensics Method Reski Badillah; Andi Yulia Muniar; Abd. Rahman; Febri Hidayat Saputra; Mansyur; Supriadi Sahibu
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 2 (2023): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i2.45

Abstract

This research addresses the persistent challenge of defamation, notably prevalent on the Twitter platform, where the discovery of digital evidence is hampered by robust privacy protections. The study aims to investigate and identify digital evidence in defamation cases on Twitter, focusing on optimizing the evidence discovery process. Employing static forensics to prevent data alterations during acquisition from devices associated with defamation, the research successfully uncovered various digital evidence, including text from deleted comments, usernames, emails, and deleted image files linked to defamation. Out of the initial 28 reported data instances, 22 pieces of evidence were identified, resulting in an impressive 79% accuracy rate. The investigative procedures align with the chain of custody, ensuring the reliability of the collected evidence. This study not only contributes valuable insights into digital evidence discovery in online defamation cases but also highlights the efficacy of static forensics as a method. These findings provide a foundation for robust digital forensic practices, crucial for addressing challenges posed by online defamation on social media platforms.
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 Development of a Smart Trash Bin to Minimize Odor from Household Waste Based on the Internet of Things Mohd Abdul Ghaffar; David HL, David; Kim Leah; Mansyur
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 2 (2024): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i2.51

Abstract

The problem that occurs is that household waste continues to increase along with the development of population and the number of increasingly dense settlements. The existence of this household waste is of concern to the community and the government because it can cause various negative impacts. Based on the results of observations of the existing trash cans, the accumulation of household waste is the source of this unpleasant odor. Smell is connoted as something that tends to disturb comfort, and gives the impression of being unclean and the like, such as fishy, rotten, urine, rancid, and so on. The smell of burning garbage is also dangerous because it contains H2 which reduces the amount of oxygen in the air. This study aims to prevent the occurrence of unpleasant odors from garbage. The tool will be designed using the NodeMCU microcontroller with website-based monitoring and Whatsapp notifications automatically when the trash can is full and automatic deodorizing powder spraying according to the concentration of gas released by the stench. This study uses the Experimental and Comparative Testing method in designing an IoT-based Smart Trash Bin tool and conducting tests on the built system and comparing the test results with the expected system. The results of this study indicate that the Smart Trash Bin tool can work and function as expected, namely being able to minimize the unpleasant odor emitted by the trash can and being able to monitor the sprinkling of deodorizing powder, the status of the height of the trash can and can provide notifications both automatically and manual to officers through the website.
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.