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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Puspa Ayu Sholeha
Universitas Nasional, Jakarta
Computer Science & IT Decision Sciences, Operations Research & Management

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Penerapan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Dalam Pemilihan Kepala Laboratorium Menggunakan Pembobotan Rank Order Centroid (ROC) Puspa Ayu Sholeha; Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3872

Abstract

In selecting the head of the laboratory, someone who has extensive knowledge in the specific field of the laboratory is needed, as well as good management and leadership skills. They may also be involved in developing new methods, selecting equipment, and developing laboratory policies. However, the challenge in the selection process for a new laboratory head is the high number of applicants and a series of selection stages which are time-consuming, including administrative selection, competency evaluation, and interviews. This causes difficulties for schools in making decisions to get candidates for laboratory heads that match their expectations. In solving problems in laboratory selection, the authors make 5 criteria including qualifications, experience, leadership, communication skills, and responsibility. So this research also needs a system that can help to solve existing problems. A system that can help solve problems is a Decision Support System (SPK). In completing this research, the writer has to find the weight value of the criterion data where the writer uses the ROC method to produce the weight value and after that the writer also searches for the ranking value using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The produce of ranking values in the TOPSIS method, the author must work according to predetermined steps in order to obtain precise and accurate preference values. The ROC and TOPSIS methods really help the writer in generating values accurately. So from the above calculations using the TOPSIS method the chosen head of the laboratory is Zakiyah Alifah with a total value of 1.
Penerapan Sistem Pendukung Keputusan Metode ROC dan ARAS dalam Seleksi Tim Kreatif Industri Puspa Ayu Sholeha; Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4752

Abstract

The process of selecting creative team members in the creative industry poses complex challenges. While aspects of formal and technical qualifications can often be clearly measured, elements such as creativity, innovation, and cultural fit are subjective factors that are difficult to measure objectively. Conventional selection methods are often not able to fully incorporate these qualitative aspects, which sometimes results in less precise or less than ideal evaluations. The criteria used in the selection of creative industry teams are portfolio, experience, innovation, technical skills, and collaboration. This emphasizes the need for research and development of more sophisticated and scalable selection methods in the context of the creative industry. The use of a Decision Support System (DSS) is the main focus for handling the problem. applying the ROC (Rank Order Centroid) method, which is utilized to give weight values to the selection criteria, and ARAS (Additive Ratio Assessment), which is utilized to provide the results of creative team selection decisions in the creative industry. The results of the study show that Lolly gets the highest score, which is 1.00000, and is selected as the most suitable creative team for the creative industry.
Co-Authors Rima Tamara Aldisa