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Journal : International Journal Software Engineering and Computer Science (IJSECS)

Classification of Customer Satisfaction with the K-Nearest Neighbor Algorithm in Relation to Employee Performance at PT. Airkon Pratama Ahmad Suprianto; Untung Surapati; Yuma Akbar; Aditya Zakaria Hidayat
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.2948

Abstract

PT. Airkon Pratama is the technical consultancy company in the field of maintenance, repair, and operate system. Among its projects are a four-building, multi-story tax office complex. PT. Airkon Pratama experience obstacles to know how its customer satisfaction with their services that is was measured by a questionnaireobtained from work order form. The purpose of this study is to determine how well K-Nearest Neighbor data classification accurately classifies customer satisfaction based on employee performance by PT. Airkon Pratama. The data used in this study is from PT. Airkon Pratama with the data processing using RapidMiner with the K-Nearest Neighbor method which produces an accuracy of 96.53%. Among them four performance indicators were rated as "good", and two as "adequate". Of the 196 that were correctly predicted to be "good," three were "adequate." Most of the 04 respondents gave a positive response indicating their satisfaction with the management of tax office facilities provided by PT. Airkon Pratama in January 2024.
Design and Development of a Web-based Online Store Application for Yudistira Jaya Stationery Shop Muhammad Abdul Aziz Abyan; Untung Surapati
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3887

Abstract

The accelerated progress of information technology has fundamentally reshaped the landscape of the trade sector, with notable impacts on micro, small, and medium enterprises (MSMEs). This research aims to design and develop a web-based online sales platform tailored for ATK Yudistira Jaya, a stationery and photocopy service provider, to optimize operational efficiency and broaden market accessibility. The development process employs the Waterfall methodology, a systematic approach that ensures structured progression through distinct phases of system creation. The technological foundation of the platform is built using the Laravel framework for backend operations, paired with MySQL as the database management system to handle data storage and retrieval effectively. Findings from the system evaluation indicate that the developed platform adequately addresses the functional requirements of both administrators and end-users. Key features integrated into the system include a comprehensive product catalog for easy browsing, a streamlined order placement mechanism, secure payment integration through a trusted gateway, and robust order management tools to track and process transactions. The successful implementation of this digital solution is anticipated to empower MSMEs like ATK Yudistira Jaya by equipping them with the necessary tools to navigate the challenges of a digital marketplace, ultimately enhancing their competitive edge through strategic adoption of technology.