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PENGEMBANGAN UMKM LAUNDRY SEPATU MELALUI DIGITALISASI TRANSAKSI Rumaisa, Fitrah; Puspitarani, Yan; Violina, Sriyani; Sulianta, Feri
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 1 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i1.12492

Abstract

Computers have become an inseparable part of society's activities, especially in the need to support business processes, so the need for computerized systems has a very essential role in carrying out business processes. However, quite a few still use manual systems in carrying out business activities. As a result, obstacles arise as the business continues to grow due to increasingly large and complex needs. One of them is also experienced in the shoe laundry business which requires complex handling considering the large number of services as the number of consumers increases. In order to meet the needs of existing business processes, a computer-based transactional system is needed to support existing business processes, so that business efficiency and effectiveness can be realized. Further training is also needed due to the transition from manual systems to computer-based systems so that workers can adapt to using computerized systems. precisely on target.
Sistem Rekrutmen Online Berbasis TOPSIS untuk Seleksi Kandidat Faturrohman, Adit; Sulianta, Feri
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2430

Abstract

An efficient and accurate recruitment process is crucial for companies to ensure the quality of human resources that support growth and innovation. For Coffee Kane, acquiring the best talent is key to maintaining competitive advantage. However, traditional recruitment methods often face challenges, such as time inefficiency, high operational costs, and limitations in the search for quality candidates. This study proposes a web-based online recruitment system that integrates the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. This system is designed to accelerate the selection process, reduce operational costs, and expand the search for candidates without geographical limitations. The implementation of this system has successfully automated the selection process, increased efficiency, and resulted in more accurate, objective, and transparent decision-making in selecting the best candidates.