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p-Index From 2020 - 2025
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All Journal Electronic, Business, Management and Technology Journal Journal of Economics, Management, and Entrepreneurship
Hermanto, Cahyo
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Library & Information Science Social Sciences

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A Microanalysis of Employee Retention Strategies: The Case of Selected Convenience Stores and Their Practices Ramadhan, Ramadhan; Hermanto, Cahyo; Tay, En; Hamdani, Mohammad
Electronic, Business, Management and Technology Journal Vol. 1 No. 2 (2023): Electronic, Business, Management and Technology Journal
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/ebmtj.v1i2.124

Abstract

The study examines the complexities of data management in a Bandung-based garment industry, where each division analyzes transactional flow data using Google Spreadsheets. Nevertheless, the precision of the transactional flow data throughout the organization is compromised due to inconsistencies emerging from uncorrected modifications in controlled data. In order to resolve this problem, it is essential to construct a data warehouse system along with visually attractive data visualization using Tableau dashboards. Integrating these systems aims to provide users with the relevant information required for efficient decision-making. The project aims to enhance business intelligence operations within the garment firm by creating a sophisticated information system that combines inventory accuracy, data warehousing, and visualization approaches. The project aims to improve data accuracy, simplify data management processes, and provide stakeholders with complete insights into corporate operations through carefully examining and applying these systems. The study's primary objective is to provide significant insights that can enhance the optimization of inventory information systems and business intelligence techniques in the garment industry. This condition will ultimately lead to improved efficiency and strategic decision-making abilities.
Implementation Of Geolocation Method Using Haversine Model on Internship Presence System: Case Study in One of The State-Owned Enterprises Jaelani, Jaelani; Rosadi, Dadi; Hermanto, Cahyo; Oktavia, Oktavia
Electronic, Business, Management and Technology Journal Vol. 2 No. 2 (2024): Electronic, Business, Management and Technology Journal
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/ebmtj.v2i2.173

Abstract

Attendance is a critical metric in assessing internship participants, impacting their total evaluation during the internship duration. A state-owned firm presently employs a manual attendance system utilizing a logbook, susceptible to recording inaccuracies and data tampering. This study seeks to develop a web-based attendance system that employs geolocation techniques, enabling interns to check in without completing a logbook. This system uses the Haversine model to compute a maximum distance of 500 meters from a specified work site to guarantee the precision of attendance data. This research also examines absence resulting from illness or authorized leave. Rapid Application Development (RAD), utilizing Unified Modeling Language (UML) for system design, is the methodology employed in creating this attendance system. The system is coded utilizing the PHP programming language and the MySQL database. This research culminates in developing a web-based attendance system that allows interns to check in at their work sites efficiently and correctly, thereby diminishing reliance on the manual logbook system. This research entails improved precision in attendance documentation, heightened efficiency in overseeing intern assessments, and augmented accountability among interns. By applying this method, the state-owned firm can more effectively evaluate intern performance and make informed decisions concerning its organizational development and contributions.
Public Complaint Management Information System Based on Complaint Topic Classification Using the Naive Bayes Model Nasrulloh, Wildan Khotibul Umam; Hermanto, Cahyo; Jamaludin, Ikbal; Emalia, Lilis
Journal of Economics, Management, and Entrepreneurship Vol. 3 No. 1 (2025): Journal of Economics, Management, and Entrepreneurship
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/hasgnc24

Abstract

Superior public service is an essential component of community life. Pasirkaliki Village faces considerable hurdles in managing public grievances, including inefficiencies and complications in prioritizing complaints according to their urgency. This research proposes the creation of a Public Complaint Management Information System utilising the Naive Bayes method within the CodeIgniter Framework to address these challenges. The Naive Bayes method is selected for its efficacy in classifying data, enabling the identification of patterns and trends in incoming complaints. This system aims to enhance the efficiency and precision of complaint management, deliver swifter and more accurate responses, and ultimately improve public satisfaction with the services. The findings of this research are anticipated to enhance the provision of responsive and high-quality public services in Pasirkaliki Village.
Co-Authors Dadi Rosadi Emalia, Lilis Ikbal Jamaludin Jaelani, Jaelani Mohammad Hamdani, Mohammad Nasrulloh, Wildan Khotibul Umam Oktavia Oktavia Ramadhan Ramadhan Tay, En