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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Knowledge Engineering and Data Science JURTEKSI JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Intelligent Decision Support System (IDSS) LEBAH IJETH
Mahardika Abdi Prawira Tanjung
Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
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Journal : Journal of Intelligent Decision Support System (IDSS)

 1 
Implementation of simple additive weighting in determining employee performance based on android at BSI Bank KCP Perbaungan Tanjung, Mahardika Abdi Prawira; Syafii, Rahmad
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 4 (2024): December: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i4.261

Abstract

This study aims to develop and implement a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method for employee performance evaluation at BSI Bank KCP Perbaungan. The main problems faced by the bank are subjectivity and inefficiency in performance evaluation using manual methods. With this Android-based DSS, employee performance evaluations can be carried out more objectively and transparently, based on criteria such as productivity, work quality, attendance, and teamwork ability. This study involves data collection through observation and interviews with bank management to determine the weights of the criteria used in performance evaluation. The SAW method is then applied to process employee performance data and generate a final score used to identify the best employees. The results show that the SAW method is effective in improving the accuracy and speed of performance evaluations. The implementation of the Android-based DSS simplifies management in handling employee data and generating real-time performance reports. This study concludes that the use of the SAW method in an Android-based DSS can reduce subjectivity in evaluations and improve decision-making efficiency at BSI Bank KCP Perbaungan.
Prediction of price decrease in used cars using decision tree in Habib Car Showroom Ardiansyah, Muhammad; Tanjung, Mahardika Abdi Prawira
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 4 (2024): December: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i4.262

Abstract

This study aims to predict the decline in the price of used cars using the Decision Tree method at the Habib Car Showroom. The main problem at the Habib Car Showroom is that there is no system that can predict the price of cars at the Habib Car Showroom. With this research, the prediction of car prices at the Habib Mobil Showroom will be more objective and very helpful for the Habib Car Showroom. This study predicts through criteria and any damage to the cars at the Habib Car Showroom, such as year of manufacture, engine condition, and body condition. Furthermore, this Decision Tree method is useful for calculating how much the price will drop through the damage to the car that will be seen in the condition of the damage. This study will produce objective and accurate results according to the damage to the car or not damaged to the car, and this study can help the Habib Car Showroom predict prices easily, objectively, and accurately.
Implementation of AHP method in decision support system for AC brand selection at PT. Gemilang Haris, Muhammad; Zulherry, Andi; Limbong, Isman Efendi; Tanjung, Mahardika Abdi Prawira
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.v7i3.257

Abstract

The selection of the optimal AC brand for PT Gemilang faces complex challenges as it involves the evaluation of various criteria such as quality, cost, energy efficiency, and after-sales service. This research aims to apply the Analytic Hierarchy Process (AHP) method to determine the best AC brand based on these criteria. The AHP method is used to develop a comparison matrix, calculate the weights of criteria and alternatives, and check the consistency of the results. The analysis results show that Brand B has the highest final weight, making it the most optimal choice compared to the other alternatives. The implications of this study show that the AHP method can be effectively used for multi-criteria decision-making in product selection, providing data-driven recommendations and reducing subjective bias in the selection process. This research makes a significant contribution to a more structured decision-making practice at PT Gemilang.
Co-Authors Abdurrafy Hasibuan, Rifky Adhitya Syahputra, Muhammad Agus Suryadi Andi Zulherry Cut Try Utari Fachri, Barany Farid Akbar Siregar Febrianti, Eka Lia Frainskoy Rio Naibaho Hazidar, Al-Hamidy Izzuddin Mubarok, Muhammad Jannah, Aulia Juliansyah Putra Tanjung Lely Fitri Hasibuan Limbong, Isman Efendi Lutfi Basit Muhammad Ardiansyah MUHAMMAD HARIS Muhathir, Muhathir Ricky Ramadhan Harahap Syafii, Rahmad Syahdilan, Akbar Taufik Ismail Simanjuntak Zuli Agustina Gultom