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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jiko (Jurnal Informatika dan komputer) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Informatika dan Komputer Teknologika STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer RISTEC : Research in Information Systems and Technology IPSSJ
Mochammad Imam Sulistyo Sarjowo
Sekolah Tinggi Teknologi Wastukancana Purwakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Journal : RISTEC : Research in Information Systems and Technology

 1 
DECISION SUPPORT SYSTEM FOR SELECTING OUTSTANDING EMPLOYEES BASED ON THESIMPLE ADDITIVE WEIGHTING (SAW) METHOD AND ANALYTICAL HIERARCHY PROCESS (AHP) Mochammad Imam Sulistyo; Moch Hafid T; Yusuf Muhyidin
RISTEC : Research in Information Systems and Technology Vol 3, No 2 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.884 KB) | DOI: 10.31980/ristec.v3i2.2757

Abstract

Employees are the company's most important asset, without the role of employee’s activities cannot be realized. Employees are serious in determining the plans and goals that must be achieved. Therefore, PT. Unibless Indo Multi periodically selects the best employees to increase the spirit of performance and employee dedication to the company. The selection of employees will be done computerized, so it is necessary for a system when considering all the criteria that support to determine the best employees. To support the decision-making system, a decision-making method is needed. PT employees choose the methods used in the decision support system are SAW and AHP methods. The SAW method is often called the weighted summation method. At the same time, the Analytical Hierarchy Process is a decision-making process that finds the best solution by outlining complex problems into a more complex form. Based on the results processed in this study with the use of either SAW and AHP method in the first rank obtained by Taufik with the same weight which is 0,66.
Implementation of Weighted Product Method to Determine Exemplary Students at SMKN 1 Purwakarta Gito, Mochzen; Agus Sunandarag, Muhamad; Mochammad Imam Sulistyo Sarjow, Mochammad; Andayani Komara, Mutiara; Sukma H, Deden
RISTEC : Research in Information Systems and Technology Vol. 5 No. 1 (2024): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

The Weighted Product method is a method that can help in making decisions. The largest value will be selected as the best alternative. Calculations will be in accordance with this method if the selected alternative meets the specified criteria. SMKN 1 Purwakarta is one of the schools where in its academic activities there is a selection of exemplary students. The need for an easier and more objective election system is something worth considering. To meet these needs, research was conducted that implemented the Weighted Product method to select exemplary students based on academic, non-academic, organizational and extracurricular values. Based on the calculations, the highest preference value or V vector was 0.212. The data with the largest vector V value is then recommended to become an exemplary student
Development of A Web-Based Dominance, Influence, Steadiness, Compliance, (DISC) Test Platform With A Career Recommendation System For Optimizing Career Decision Making in Generation Z Novitasari, Chandani; Sulistyo Sarjowo, Mochammad Imam; -, Minarto
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Generation Z is a cohort that has grown up in the digital era, characterized by their adaptability to technology and preference for flexible careers aligned with their personality. However, many individuals from this generation often experience confusion in determining their career paths due to a lack of self-awareness and job compatibility. This study aims to develop a web-based DISC personality test platform equipped with a career recommendation system to assist Generation Z in making accurate career decisions. The research method used is Research and Development (R&D) with a software development approach using the waterfall model. The system enables users to take the DISC test, receive personality result, and obtain career recommendation based on the trait and factor psychological approach. Testing result indicate that the system function well, is user-friendly, and provides accurate and relevant outcomes tailored to user needs. This platform is expected to serve as an effective tool in supporting career decision-making for generation Z.
Co-Authors -, Minarto Agus Sunandarag, Muhamad Alif Fajar Panjalu Dede Irmayanti Febriyanti Syofiani Fuad Amirullah Gilbert Gito, Mochzen Ismi Kaniawulan, Ismi Julianti, Amelia Mamur, Sultan Muhamad Taufik Minarto Minarto . Minarto, Minarto Moch Hafid T Mochamad Iqbal Fauzi Mutiara Andayani Komara Novitasari, Chandani Purnama, Erga Rangga Rizqi, Putri Nuraeni Sukma H, Deden Syariful Alam Yusuf Muhyidin