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All Journal PROSIDING SEMINAR NASIONAL The Indonesian Journal of Public Health JSAI (Journal Scientific and Applied Informatics) Journal of Economic Education and Entrepreneurship Studies Jurnal Media Akademik (JMA)
Bambang Cahyono
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Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : jsai journal scientific and applied informatics

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Penerapan Metode Analytic Network Process (ANP) dalam Menentukan Peringkat Kinerja Dosen Bambang Cahyono; Muhammad Farman Andrijasa; Tommy Bustomi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7300

Abstract

The use of the Analytic Network Process (ANP) method in evaluating and ranking lecturer performance. ANP is a complex decision-making method that allows the assessment of various interrelated factors in a network.  In the context of higher education, evaluating lecturer performance is very important because the quality of teaching and lecturers' contribution to research and scientific development has a direct impact on students' learning experience and institutional reputation. However, assessing lecturer performance is not an easy task because it involves a variety of complex and interrelated factors, such as teaching ability, research contribution, community service, and various other administrative aspects. The results of this study show that the ANP method has proven to be effective and successful in providing an objective, structured, and detailed description of lecturer performance. The results can be used to support decisions regarding awards, promotions, or training needed to achieve better overall performance with a 70% success rate in assessing lecturer performance.
Implementasi Fuzzy Mamdani untuk Klasifikasi Kualitas Laptop Berdasarkan Parameter Spesifikasi Bambang Cahyono; Agusdi Syafrizal; Subhan Hartanto
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9436

Abstract

This study implements the Mamdani fuzzy logic method to classify laptop quality based on key technical specifications, including processor performance, RAM capacity, storage type, and price. The fuzzy model was developed using linguistic membership functions and rule-based inference to represent expert judgment patterns. System performance was evaluated using the Mean Absolute Error (MAE) metric, which measures the average deviation between the model output and expert reference values. The results show that the Mamdani fuzzy model provides highly accurate and consistent classifications, indicated by a MAE value of 0.027 (2.7%). The error values for each laptop sample ranged from 0.02 to 0.04, demonstrating the model’s stability and effectiveness across various specification levels. These findings confirm that Mamdani fuzzy logic is suitable for laptop quality classification and can serve as a foundation for the development of intelligent recommendation systems for consumer electronics.
Co-Authors Agusdi Syafrizal Arnadi Chairunnas Damar Nurcahyono Dewantoro, Yan El Rizal Unzilatirrizqi Joko Sugianur Michael Sitorus Muhammad Adhiyasa Parnadi Muhammad Farman Andrijasa Muhammad Yordanil Omar Hamdi Poedji Haryanto Rina Pratiwi Rizqullah Herfadz Afhaby Sri Mukodiningsih Subhan Hartanto Sugianto, Efendi Supandi Supandi Tommy Bustomi Yusni Nyura