Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal JSAI (Journal Scientific and Applied Informatics) Jurnal Ilmiah Informatika dan Ilmu Komputer Journal of Data Science and Information System Jurnal Informatika dan Rekayasa Perangkat Lunak
Abdullah, Muksin Hi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
IMPLEMENTASI METODE WEIGHTED PRODUCT (WP) DALAM SISTEM PENGAMBILAN KEPUTUSAN DOSEN TERBAIK TEKNIK KOMPUTER AKADEMI ILMU KOMPUTER TERNATE DJUFRI, ILHAM; Abdullah, Muksin Hi; Turuy, Seh
JSAI (Journal Scientific and Applied Informatics) Vol 3, No 3 (2020): Informatics Science and Implementation
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1166

Abstract

ABSTRAKDosen merupakan tenaga akademik yang bertugas merencanakan dan melaksanakan proses pembelajaran, menilai hasil pembelajaran, melakukan pembimbingan dan pelatihan, serta melakukan penelitian dan pengabdian pada masyarakat (Tri Dharma) Perguruan Tinggi. Dalam melaksanankan Tri Dharma Perguruan Tinggi doesen perlu diberikan apresiasi atau promosi sesuai dengan kinerja akademiknya. Oleh karena itu, peneliti mendesain analisis pengambilan keputusan pemilihan dosen terbaik pada Program Studi Teknik Komputer Akadedemi Ilmu Komputer Ternate. Tujuannya adalah memilih dosen terbaik dengan cara perangkingan. Untuk menentukan dosen terbaik peneliti menggunakan teknik pengambilan data dengan cara penyebaran kuisioner terhadap 16 (enam belas) mahsaiswa Teknik Komputer sebagai penilai terhadap 5 (lima) alternative (dosen) Teknik Komputer dengan menerapkan metode analisis perhitungan metode Weighted Product. Kriteria pemilihan yang digunakan adalah Kemampuan Logika Berpikir, Terampil Melakukan Evaluasi Assessment, Terampil Menyajikan Materi Kuliah dan Kedisiplinan. Data hasil analisis perhitungan mendapatkan Alternatif (dosen) yang memperoleh nilai tertinggi adalah alternative (dosen) ABUR (A4) 0.2328.Kata kunci: SPK, WP, pemilihan, dosen, terbaik ABSTRACTLecturers are academic staff in charge of planning and implementing the learning process, assessing learning outcomes, conducting guidance and training, and conducting research and community service (Three Dharma) for Higher Education. In implementing the Three Dharma of Higher Education, it is necessary to give appreciation or promotion according to its academic performance. Therefore, the researchers designed a decision-making analysis for choosing the best lecturers in the Computer Engineering Study Program, Akademi Ilmu Komputer, Ternate. The goal was to select the best lecturers by ranking. To determine the best lecturer, the researchers used data collection techniques by distributing questionnaires to 16 (sixteen) Computer Engineering students as assessors of 5 (five) alternative (lecturers) Computer Engineering by applying the calculation analysis method of the Weighted Product method. The selection criteria used are Logic Thinking, Synthesis Analysis Ability, Material Delivery Methods and Dress Procedures (Appearance). The data from the calculation analysis indicated that the alternative (lecturer) who got the highest score was the alternative (lecturer) ABUR (A4) 0.2328.Keywords: DSS, WP, election, lecturer, best
IMPLEMENTASI METODE WEIGHTED PRODUCT (WP) DALAM SISTEM PENGAMBILAN KEPUTUSAN DOSEN TERBAIK TEKNIK KOMPUTER AKADEMI ILMU KOMPUTER TERNATE DJUFRI, ILHAM; Abdullah, Muksin Hi; Turuy, Seh
JSAI (Journal Scientific and Applied Informatics) Vol 3 No 3 (2020): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1166

Abstract

ABSTRAKDosen merupakan tenaga akademik yang bertugas merencanakan dan melaksanakan proses pembelajaran, menilai hasil pembelajaran, melakukan pembimbingan dan pelatihan, serta melakukan penelitian dan pengabdian pada masyarakat (Tri Dharma) Perguruan Tinggi. Dalam melaksanankan Tri Dharma Perguruan Tinggi doesen perlu diberikan apresiasi atau promosi sesuai dengan kinerja akademiknya. Oleh karena itu, peneliti mendesain analisis pengambilan keputusan pemilihan dosen terbaik pada Program Studi Teknik Komputer Akadedemi Ilmu Komputer Ternate. Tujuannya adalah memilih dosen terbaik dengan cara perangkingan. Untuk menentukan dosen terbaik peneliti menggunakan teknik pengambilan data dengan cara penyebaran kuisioner terhadap 16 (enam belas) mahsaiswa Teknik Komputer sebagai penilai terhadap 5 (lima) alternative (dosen) Teknik Komputer dengan menerapkan metode analisis perhitungan metode Weighted Product. Kriteria pemilihan yang digunakan adalah Kemampuan Logika Berpikir, Terampil Melakukan Evaluasi Assessment, Terampil Menyajikan Materi Kuliah dan Kedisiplinan. Data hasil analisis perhitungan mendapatkan Alternatif (dosen) yang memperoleh nilai tertinggi adalah alternative (dosen) ABUR (A4) 0.2328.Kata kunci: SPK, WP, pemilihan, dosen, terbaik ABSTRACTLecturers are academic staff in charge of planning and implementing the learning process, assessing learning outcomes, conducting guidance and training, and conducting research and community service (Three Dharma) for Higher Education. In implementing the Three Dharma of Higher Education, it is necessary to give appreciation or promotion according to its academic performance. Therefore, the researchers designed a decision-making analysis for choosing the best lecturers in the Computer Engineering Study Program, Akademi Ilmu Komputer, Ternate. The goal was to select the best lecturers by ranking. To determine the best lecturer, the researchers used data collection techniques by distributing questionnaires to 16 (sixteen) Computer Engineering students as assessors of 5 (five) alternative (lecturers) Computer Engineering by applying the calculation analysis method of the Weighted Product method. The selection criteria used are Logic Thinking, Synthesis Analysis Ability, Material Delivery Methods and Dress Procedures (Appearance). The data from the calculation analysis indicated that the alternative (lecturer) who got the highest score was the alternative (lecturer) ABUR (A4) 0.2328.Keywords: DSS, WP, election, lecturer, best
Implementation of the Objective Weighting and Grey Relational Analysis Method for the Promotion of the Position of Chief Financial Officer Abdullah, Muksin Hi; Abdurahman, Muhdar; A. Thais, Iswan; Hadad, Sitna Hajar
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 1 (2025): Volume 6 Number 1 March 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i1.16

Abstract

The promotion of the Chief Financial Officer (CFO) position is a form of appreciation for performance, competence, and significant contribution to the organization's financial management. This promotion is expected to motivate individuals to continue to improve their professional competence and have a greater positive impact on the development of the organization in the future. Problems in the promotion of the CFO position often arise due to various factors, both from the internal side of the organization and individuals. One of the main problems is the lack of transparency in the performance appraisal process, where the criteria for promotion are not clear or not in accordance with the standards that have been set. Subjective factors in job appraisals can trigger employee dissatisfaction, especially if the decisions taken are more influenced by personal proximity than competence and achievements. This study aims to implement an objective and accurate decision support system in the promotion process for the position of CFO by applying the GRA method and objective weighting using the CRITIC method. The ranking results show the ranking of candidates in the promotion of the Chief Financial Officer position based on their respective evaluation scores. Candidate 7 took first place with the highest score of 0.1251, followed by Candidate 6 with a score of 0.1242, and candidate 4 was in third place with a score of 0.1101. This shows that Candidates 7 and 6 have a significant competitive advantage over other candidates for the position. Contribution to the promotion of the CFO position is crucial in ensuring that decisions made in the assessment of candidates are not only based on intuition or subjective considerations, but through a systematic, objective, and data-driven approach.
Penerapan Metode Weighted Product dan Rank Order Centroid dalam Penilaian Kinerja Staff Adminstrasi Abdullah, Muksin Hi
Journal of Data Science and Information Systems Vol. 2 No. 1 (2024): Volume 2 Number 1 February 2024
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v2i1.98

Abstract

The performance of administrative staff is very important in maintaining the smooth operation of an organization. The quality of the performance of administrative staff has a direct impact on the efficiency and effectiveness of various departments in the organization. The ability to manage high workloads, maintain information confidentiality, and interact with various parties, including internal and external employees, are important aspects in assessing the quality of administrative staff performance. This study aims to assess the performance of administrative staff by applying the Weighted Product and Centroid Order Rank methods so that it can be a foundation for leaders in assessing the performance of administrative staff. The results of the alternative ranking for rank 1 with a value of 0.1755 were obtained by an alternative on behalf of Haris, rank 2 with a value of 0.1711 was obtained by an alternative on behalf of Yuni, rank 3 with a value of 0.1710 was obtained by an alternative on behalf of Andini.
Multi Attribute Decision Making Penentuan Dosen Terbaik Menggunakan Metode Multi-Objective Optimization by Ratio Analysis dan Surrogate Weighting Hadad, Sitna Hajar; Abdullah, Muksin Hi; Nurnela; Hairun, Radina Hamza
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 1 (2024): Volume 3 Number 1 March 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i1.24

Abstract

The best lecturers are people who not only have high academic expertise in their fields, but also have the ability to inspire and guide students well. The main problem in determining the best lecturer is subjectivity in the evaluation process. Evaluation of lecturer performance often tends to be based on parameters that are qualitative in nature and can be influenced by personal preferences, or subjective perceptions. This study aims to solve problems in the selection of the best lecturers using the MADM approach with the method used, namely MOORA in the selection of the best lecturers and the surrogate weighting method to determine the weight of criteria to be used in the selection of the best lecturers. The ranking results show no difference in ranking from the rank sum, rank order centroid, and reciprocal rank weighting methods. The results for rank 1 were obtained on behalf of ID Lecturers, rank 3 was obtained on behalf of SH Lecturers, and rank 3 was obtained on behalf of KU Lecturers, using the rank sum, rank order centroid, and rank reciprocal weighting methods. The comparison results that the rank sum, rank order centroid, and reciprocal rank weighting methods are very suitable in recommending the best lecturers by applying the MOORA method. The combination of rank sum weighting method and MOORA, the combination of rank order centroid and MOORA weighting method, and the combination of reciprocal rank weighting method and MOORA there is no difference in the final ranking of the best lecturers.
Co-Authors A. Thais, Iswan djufri, ilham Hairun, Radina Hamza Nurnela Sitna Hajar Hadad Turuy, Seh