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All Journal Journal of Intelligent Decision Support System (IDSS) Jurnal ICT : Information and Communication Technologies Jurnal Pengabdian Masyarakat Nauli IJETH
Sirait, Kamson
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences

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Journal : Journal of Intelligent Decision Support System (IDSS)

 1 
Analysis Of Salary Of Permanent Employees And Contract Employees On The Medicom Campus Using The K – Means Algorithm Harahap, Leliana; Purba, Sartika Dewi; Situmorang, Sutrisno; Panggabean, Jonas Franky R; Sirait, Kamson
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.168

Abstract

The Medicom campus is a place of work that provides jobs to the community. In work, employee status cannot be separated, namely permanent employees and contract employees. In employee status, employee salaries can be determined. In determining employee salaries, there are several problems that can disrupt employee performance at work. For this reason, a method is needed to determine employee salaries. One method that can be used is the K-Means Clustering Algorithm. Which is considered quite effective in determining the suitability of salaries for permanent employees and contract employees. By creating clusters to make it easier for finance workers to record and determine and adjust employee salaries based on their status.
Implementation of data mining to estimate the need for toast bread supply at junction cafe using the multiple linear regression method Situmorang, Sutrisno; Purba, Sartika Dewi; Harahap, Leliana; Sirait, Kamson; Panggabean, Jonas Franky Rudianto
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 3 (2024): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i3.248

Abstract

Junction Cafe Medan, which is managed by individuals, has a large supply of bread services with different specifications. The inventory system for toasted bread at Junction Cafe Medan still uses a manual system in data processing. Handling data with this system has several obstacles, including causing shortages and excesses of bread stock, impacting guests due to running out of bread stock, excessive costs incurred for stocking bread, and lack of accuracy in recording incoming and outgoing bread stock resulting in shortages and errors in ending stock inventory. Based on this research problem, a data mining application is needed that is capable of estimating bread supplies at Junction Café Medan, where each Bread inventory data at Junction Café Medan will be calculated using one of the data mining methods that is capable of estimating bread supplies based on bread usage by applying the Regression method Multiple Linear The result of this research is a data mining application that uses the Multiple Linear Regression method which is able to solve the bread stock inventory problem at Junction Cafe Medan by estimating bread stock inventory more quickly and accurately
Development of agile-based website and field person application for construction project data management Manullang, Jontinus; Sirait, Kamson; Purba, Sartika Dewi; Manik, Aditiarno; Lubis, Harmoko
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 3 (2024): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i3.256

Abstract

This research discusses the creation of a website and Field Person application designed to assist the management of construction project data processing. This system allows company leaders to monitor projects in real-time and assist field heads in compiling work reports. The main functions implemented include material management, shopping data, equipment data, work progress data, incoming funds, material usage, material requests, wage requests, and wage payments. This research uses an object-oriented software development methodology with an Agile approach to ensure flexibility and responsiveness to changing user needs, and offers innovative solutions in construction project management by utilizing technology to improve efficiency and accuracy in project data management.
Co-Authors Fitri, Aida Frainskoy Rio Naibaho Harahap, Leliana Harahap, Lelyana Lubis, Harmoko Manik, Aditiarno Manullang, Jontinus Panggabean, Jonas Franky R Panggabean, Jonas Franky Rudianto Purba, , Sartika Dewi Purba, Sartika Dewi Siahaan, Rachel Yoan Katherin P Sihombing, Maslan M.R SIHOMBING, MASLAN M.R. Sihombing, Maslan MR Sitompul, Monika Sales Situmorang, Sutrisno