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All Journal Jurnal Simetris Journal of Management and Business Review Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Systematics Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Buana Information Technology and Computer Sciences (BIT and CS) Journal of Computer System and Informatics (JoSYC) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Bulletin of Information Technology (BIT) Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi Dirgamaya: Jurnal Manajemen dan Sistem Informasi Al-Hijr: Journal of Adulearn World INOTEK Journal International Dakwah and Communication Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Suhada, Karya
STMIK Rosma
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Analisis Perbandingan Metode WASPAS dan TOPSIS dengan Menggunakan Pembobotan ROC dalam Sistem Pendukung Keputusan Penentuan Sales Sepeda Motor Terbaik Sudarsono, Bernadus Gunawan; Suhada, Karya; Karim, Abdul
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6222

Abstract

Determining the best motorcycle salesperson is an important aspect in improving sales performance and motivation in automotive companies. This process must be carried out objectively by considering various criteria, such as performance achievement, discipline, teamwork, communication skills and responsibility. However, decision making is often complex because it involves many factors and varying criteria. Therefore, a Decision Support System (DSS) is needed that is able to process and analyze data effectively. This study aims to analyze the comparison of two multi-criteria methods, namely Weighted Aggregated Sum Product Assessment (WASPAS) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), in determining the best motorcycle salesperson. Both methods use Rank Order Centroid (ROC) weighting to give weight to the assessment criteria. Based on the results of the analysis, it can be seen that both methods provide consistent results, although there are differences in the final ranking. The results of the study indicate that the WASPAS and TOPSIS methods are equally effective in determining the best alternative, with differences in the order of priorities that can be used as further consideration by decision makers. The results of the two methods show that the alternative with the highest performance according to both methods is Febriansyah, who is in first place both in the TOPSIS method with a value of 0.796 and in the WASPAS method with a value of 0.810.
Evaluasi Kinerja Pegawai Berbasis Teknologi: Implementasi Sistem Pendukung Keputusan dengan Metode Profile Matching Suhada, Karya; Hendrik, Dede; Andriyana, Andriyana; Isnandar, Evi; Yanitasari, Yessy
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.2019

Abstract

Employee performance evaluation is an important process to improve work efficiency and effectiveness in government agencies. At the Simpang Empat District Office, the performance evaluation process is still carried out manually, which is often time consuming and prone to subjectivity. This research aims to develop a Decision Support System (DSS) based on the Profile Matching method to assist the employee performance evaluation process. This research uses the Profile Matching method, where the ideal performance profile is used as a reference for assessing individual performance. Employee performance data is collected through work assessments, interviews and direct observation. The SPK system developed is designed to automate the evaluation process by comparing employee performance profiles with ideal performance profiles. This system succeeded in reducing evaluation time by up to 50% and increasing assessment accuracy compared to manual methods. Employees with substandard performance can be identified quickly, allowing for timely intervention.
Co-Authors -, Yulindawati Abdul Karim Abdullah Asy’ari Acep Yuhana Ahmad M Baharudin Amalia Putri, Afdinda Andriyana, Andriyana Anggraeni, Cici Anwar Aziz April Lia Hananto Arif Maulana Yusuf Aripin Asep Samsul Bakhri Aviv Yuniar Rahman Awalludin, Dudi Baharudin, Muhammad Yusuf Saaih Bernadus Gunawan Sudarsono Damas Setiadi Sukardi Darmansyah Darmansyah David Alfa Didi Sunardi Effendy, Femmy Eko Fajar Budiharso Elanda, Anggi Erlina Noviyanthi Fitria Nurapriani Grevalby Grevalby Hendrik, Dede Intes, Amina Irwan Irwan Iskandar, Ian Isnandar, Evi Jajang Jajang Joko Purwanto Kamaludin Kamaludin Kristianto Kristianto Lila Setiyani M.Wahidin Margarida, Kruger Mariyati Mark, Elladdadi Meiniarti, Meiniarti Mohammad Musa Ibrohim Mokhamad Wahidin Novadhe Nitasari Sinaga Rahmat Gunawan Rukmanta Jayawiguna Samsul Bakhri, Asep Saoman Saoman Siti Aisyah Sudi, Mohamad Sudianto, Sudianto Xavier, Embrechts Yessy Yanitasari Yudiana Yudiana Yudiana, Yudiana Yugha Nanda Mukhandi Yulindawati -