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p-Index From 2021 - 2026
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All Journal Journal of Applied Business and Technology Computing and Information System Journal
Sukma Puspitorini
Nurdin Hamzah University
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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A Web-Based Information System for Detainee Data Management at Badan Narkotika Nasional (BNN) in Jambi Province Zikri Saputra; Sukma Puspitorini; Teuku Djauhari
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/w9vf6r36

Abstract

This research is based on the problem of manual recording which is at risk of data loss and misuse. This research aims to develop a web-based information system that facilitates the management of prisoner data, detainees, and evidence at the National Narcotics Agency (BNN) of Jambi Province. By applying the Research and Development (R&D) method and the Waterfall approach. The features implemented include input of prisoner data, prisoner data management, and recording of evidence. The test results show that the system works well and makes it easier for officers to record and manage data. The system also provides output in the form of reports which will later make it easier for officers to report starting from prisoner data, detainee data and confiscated evidence data. The system is built into a website-based application. It is hoped that this system will not only replace manual methods, but also make a real contribution in supporting BNN's task in eradicating narcotics abuse. The research findings can be a reference for the development of information systems in other agencies with similar needs. Keywords: Human Resource Digitalization Generative AI Talent Management Performance Monitoring Executive Information Systems.
PowerTeam Sales Management System UI DesignWeb-Based Using Prototyping Methods for PT PowerPOS Global Network Dinda Putri Rahmatia; Sukma Puspitorini
Computing and Information System Journal Vol. 2 No. 2 (2026): Digital Transformation through Data and Information Systems
Publisher : IndoCompt Publisher

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Abstract

This research overcomes crucial inefficiencies in PT PowerPOS Global Network due to manual sales management (Excel and WhatsApp). This reliance causes data to be decentralized, difficult to track in real-time, and hinder strategic decision-making. The purpose of this research is to produce a Web-Based User Interface (UI) Design of a Sales PowerTeam Management System as a solution to these operational management problems. The development method used is the Prototyping Method which adopts the UCD framework. UI design is done iteratively using Figma to ensure high usability and fast design validation, in contrast to the sequential method (Waterfall). Needs analysis is supported by Use Case Diagram and Flowchart. The end result of the project is a Design Blueprint UI High-Fidelity mockup for the Master Data Page and Team Operational Management. The UI design successfully consolidates data, provides an intuitive interface for full visibility of the sales team's performance, and significantly supports operational efficiency and strategic management decisions.
OPTIMIZATION OF MADRASAH ALIYAH PROMOTION STRATEGY ISLAMIC BOARDING SCHOOL KARYA PEMBANGUNAN AL-HIDAYAH THROUGH DATA ANALYSIS USINGK-MEANS METHOD Arief Rahmat Putra; Sukma Puspitorini
Computing and Information System Journal Vol. 2 No. 2 (2026): Digital Transformation through Data and Information Systems
Publisher : IndoCompt Publisher

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Abstract

The Al-Hidayah Islamic Boarding School (PKP) faces challenges in attracting new prospective students every year in the midst of competition from private and public schools, budget limitations, and negative issues of Islamic boarding schools that are rampant on social media. This research aims to optimize data-driven promotion strategies through the application of Data Mining techniques, especially K-Means algorithms, to map the potential of promotion target areas and produce more effective policies. The analysis was carried out by utilizing the data of the origin of students using Python-Scikit-Learn to group based on the region of origin. The findings show that the K-Means method is effective in identifying potential areas to be prioritized for promotion, so that promotional strategies can be expanded and become more efficient. The results of this study are expected to assist PKP Al-Hidayah in increasing the number of new registrants in a sustainable manner through more targeted and evidence-based promotion decisions.
Co-Authors Arief Rahmat Putra Dinda Putri Rahmatia Teuku Djauhari Zikri Saputra