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All Journal Jurnal Media Infotama
Indra Kanedi
Dehasen University of Bengkulu
Computer Science & IT

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Decision Support System in Determining the Best Employees of the Bengkulu Provincial Social Service Using the SAW Method Angely Rahmadanti; Sapri Sapri; Indra Kanedi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9164

Abstract

In an effort to improve the performance and professionalism of employees, the Social Service of Bengkulu Province annually conducts an evaluation or assessment to determine the best employees as a form of appreciation for the performance of these employees. However, in its implementation, this process experiences obstacles in terms of objectivity and efficiency in conducting assessments, because it still uses a manual process. Therefore, to overcome these problems, this research develops a Decision Support System (SPK) using Simple Additive Weighting (SAW) method to increase objectivity and efficiency in assessing the best employees. This system is developed using PHP programming language and using MySQL database. Based on the results of data testing as many as 5 alternative employees, the results obtained one employee with the highest score on behalf of Zulkifli with a value of 0.931 and declared the best employee
Decision Support System in Service Satisfaction Assessment Using the Weighted Product (WP) Method at the New Equator Store Ria Yestiva Rona; Indra Kanedi; Abdussalam Al Akbar
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9184

Abstract

In the era of increasingly fierce retail business competition, customer satisfaction is the key to success, but Toko New Khatulistiwa faces challenges in evaluating service satisfaction in a structured manner because it still relies on subjective manual methods. The main problem faced by the store is the absence of a structured customer satisfaction evaluation method, so that the assessment process becomes subjective and less accurate. This research aims to develop a decision support system (SPK) to assess customer service satisfaction at Toko New Khatulistiwa objectively and measurably. This research uses the Weighted Product (WP) method to perform calculations based on predetermined criteria, namely service quality, service speed, staff friendliness, place comfort, and price satisfaction. The system is built using PHP programming language and runs on a local server. The results showed that the WP method can produce accurate alternative rankings and help stores identify aspects of service that need to be improved. The implementation of this system is expected to improve service quality and customer loyalty.
Co-Authors Abdussalam Al Akbar Angely Rahmadanti Ria Yestiva Rona Sapri Sapri