ITEJ (Information Technology Engineering Journals)

Hospital Recommendation and Mapping System Using Analytical Hierarchy Process Method and Dijkstra Algorithm Based on Website

2025-04-19T17:30:46SE Asia Standard Time

This study aims to develop a web-based hospital recommendation and mapping system utilizing Dijkstra's algorithm and the Analytical Hierarchy Process (AHP) approach. The AHP method is used to determine the best hospital based on various criteria, such as the number of inpatient rooms, number of doctors, security, hospital class type, and available facilities. Meanwhile, the shortest path to the destination is determined using Dijkstra's method to the recommended hospital. 12 hospitals served as the research subjects for a case study carried out in Lhokseumawe City. The results show that Cut Meutia Lhokseumawe Hospital is the best recommendation with the highest ranking value of 0.21. Furthermore, Dijkstra's algorithm for finding the shortest route showed that the distance from the starting point in Gampong Batuphat Timur to the recommended hospital is 17,375 meters. This developed system can assist the public in selecting the best hospital while also finding the fastest route to reach it.

Decision Support System for Determining the Eligibility of Economically Disadvantaged Students for Assistance Using the K-Means and MOORA Methods

2025-04-19T17:22:41SE Asia Standard Time

The determination of recipients for student financial aid often faces challenges related to subjectivity in the selection process, necessitating a system capable of conducting objective analysis. This study develops a Decision Support System using the K-Means method to cluster students based on similar socioeconomic characteristics and the MOORA method to rank aid recipients more accurately. The K-Means method is applied to classify students into three clusters based on parental income, number of dependents, and academic performance. The clustering results indicate that students in Cluster 1 belong to the lowest economic group, making them the top priority in the selection process. Subsequently, the MOORA method is used to rank students within Cluster 1 based on an optimal value calculated from the weighted benefit and cost criteria. This calculation produces a priority ranking that is more transparent and objective compared to conventional selection systems. The findings show that the combination of K-Means and MOORA methods enhances accuracy in selecting aid recipients while reducing subjectivity in the selection process. With this system, schools or relevant institutions can expedite decision-making and ensure that aid is distributed to the students most in need. This study is expected to serve as a solution for educational institutions in improving the effectiveness and efficiency of student welfare programs.

Analysis of Finished Product Warehouse Activity Flow Using Lean Warehouse Method

2025-04-20T15:00:14SE Asia Standard Time

This company is a light steel processing manufacturing company that specializes in the production of hollow structural sections. A warehouse is the main component that enables a company's operational functions. The role of the warehouse is not only focused on storage and distribution but also on operational efficiency which can have an impact on business competitiveness. Warehousing activities at this company ain’t been optimal due to waste. Waste that occurs such as searching for empty areas for storage, waiting time for the next process, repeated product inspections, has an impact on the flow of warehousing activities. This study seeks to assess the amount of waste and provide recommendations to minimize waste within the finished product warehousing operations at this company. This study uses the Lean Warehousing method consisting of Value Stream Mapping, Process Activity Mapping, and 5 Whys Analysis. The results of this study identify 4 wasteful activities with the highest time such as waiting for the customer’s cargo truck to pick up products (I10), moving products to the truck loading bed (C5), moving products from the production floor to the storage area (S5), waiting for the next process in order to move products (P2). The proposed improvements can reduce 8 non-value-added activities and trim activity time by 1015 minutes. The suggested improvements also increase Process Cycle Efficiency by 15.32% from 11.17% to 26.49%. This proves that the implementation of lean warehouse can improve efficiency and service quality as a whole.