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Journal : Journal of Information Technology and Cyber Security

Delivery Route Estimation on a Web-Based Restaurant Delivery System Using Greedy Algorithm Wando, Carmelita Margaretha Jawa; Dzikria, Intan
Journal of Information Technology and Cyber Security Vol. 1 No. 1 (2023): January
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.7611

Abstract

Food delivery application services have been significantly developed in Indonesia. However, several areas have not received application services like this. Orders made by several restaurants still use social media such as Whatsapp, Facebook, and cell phones. Traditional ordering does not have sufficient means to calculate the cost of delivery of orders resulting in cost-efficiency problems. In addition, order delivery routes are a problem for couriers who have to deliver several orders at once. This research builds a web-based restaurant delivery system by applying a greedy algorithm to optimize routes and shipping costs. The results of this study indicate that the greedy algorithm can determine the best route for couriers to make deliveries so that shipping costs become lower. This research contributes as one proof of the application of the greedy algorithm to business problems and restaurants may use the resulting system to increase the effectiveness of order delivery.
The Role of Task-Technology Fit on the Design and Use of a Hotel Management System Dzikria, Intan; Solihin, Muhammad Lutfi Syahindra
Journal of Information Technology and Cyber Security Vol. 1 No. 2 (2023): July
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.8712

Abstract

Hotels have many problems regarding how to improve their service performance by using technologies, especially when the hotels have a bit of understanding the importance of their employees’ tasks and the technology fitness. This study designed a hotel management system based on the tasks that the employees use to provide services. The purpose of this research is to investigate the influence of task-technology fit on the intention to use the designed hotel management system. In addition, statistical testing methods are also carried out on the system by measuring the impact of task-technology fit on the suitability between user task needs and technology, on user perceptions of technology and how these perceptions affect user intentions and behavior in accepting and using technology. The results of this study indicate that task-technology fit has a significant impact in facilitating its use. The results of this study contribute to the academic implementation of task-technology fit theory in the hotel reservation management system.
Payroll Decision Support System for Production Employees Based on Key Performance Indicators Using the Simple Additive Weighting Method Suganda, Tegar Bangun; Dzikria, Intan
Journal of Information Technology and Cyber Security Vol. 3 No. 2 (2025): July
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.12523

Abstract

CV. XYZ is a Micro, Small, and Medium Enterprise (MSME) engaged in plastic sack sewing services and implements a piece rate pay system. The company faces obstacles in managing performance-based payroll, which impacts operational efficiency and payment accuracy. This study aims to develop a Payroll Decision Support System (DSS) to record and evaluate the work results of production employees using Key Performance Indicators (KPIs). KPI evaluation is applied as the main criteria in weighting using the Simple Additive Weighting (SAW) method, to produce optimal performance scores. The implementation of KPI-based incentives is expected to improve employee performance while encouraging a productive and transparent work culture. Blackbox testing shows that 97% of the test data meets user requirements, indicating that the system can run according to specifications. The results of this study contribute to the integration of KPIs and SAW in assessing production employee performance for fair and effective payroll decision-making, as well as helping companies implement efficient management practices.