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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Teknoinfo Jurnal Tekno Kompak Building of Informatics, Technology and Science Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Teknik Informatika (JUTIF) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Paradigma Journal of Engineering and Information Technology for Community Service Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Jurnal Media Jawadwipa
Priandika, Adhie Thyo
Universitas Teknokrat Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : Paradigma

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Implementation of the Standard Deviation Multi-Objective Optimization by Ratio Analysis Method in Warehouse Staff Recruitment Selection Putra, Farhan Nopransyah; Priandika, Adhie Thyo
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.8373

Abstract

The warehouse staff selection process has a crucial role in ensuring optimal operational efficiency and logistics management. A selection approach that considers aspects of technical skills, work experience, and compatibility with the organization's culture is essential in ensuring the efficiency and effectiveness of logistics management. The labor selection process, including in the context of warehouse staff recruitment, often faces challenges due to subjectivity in decision-making. The implementation of the SD-MOORA method is the main goal in this study in the process of accepting warehouse staff to improve the objectivity and accuracy of candidate selection, the results of this study are expected to contribute to improving the efficiency of the labor selection process and support data-based decision-making in human resource management. The data used in this study consists of 8 candidates and 6 criteria in the selection of warehouse staff admission. The final outcome of optimizing the SD-MOORA method for ranking warehouse staff admissions shows that GT secured the top rank with a value of 0.3827, indicating it is the most suitable candidate according to the selection criteria. AN followed in second place with a score of 0.3752, and BD placed third with a score of 0.3579. This study significantly contributes to advancing the development of decision support systems for warehouse staff selection by applying the SD-MOORA method. By objectively considering the weighting of criteria using standard deviations, this approach enhances both the accuracy and transparency of candidate rankings.
Combination of Logarithmic Least Square Weighting and MAUT Method for Best Employee Selection in Retail Companies Saputra, Aditya; Priandika, Adhie Thyo
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 1 (2025): March 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/mf9wad40

Abstract

Selecting the best employees plays a crucial role in enhancing the performance of retail companies. Given that each employee has unique roles, responsibilities, and working conditions, creating a truly fair and consistent assessment standard can be challenging. Additionally, subjective factors such as personal bias or preferences of the assessor can influence the evaluation outcome. The integration of LLSW and the MAUT method in employee selection offers a systematic approach that combines precise weighting with multi-criteria utility analysis. This combination aims to improve the accuracy, objectivity, and transparency of the decision-making process. By utilizing both methods, retail companies can establish a more effective, transparent, and data-driven selection system, ensuring that the best employees are chosen based on rational and fair evaluations. The results of the employee selection process using LLSW and MAUT showed that Employee RS ranked first with the highest score of 0.7485, indicating the strongest qualifications compared to the other candidates. Employee LK and Employee ML ranked second and third with scores of 0.6035 and 0.572, respectively, demonstrating solid performance. These selection outcomes can assist companies in recruiting the most suitable workforce for their operational needs and vision, ultimately leading to improved productivity and service quality in the long run. The main contribution of this research is capable of improving accuracy and fairness in employee performance evaluation. This approach reduces the subjectivity that often occurs in conventional assessment processes in the retail sector, as well as providing a basis for transparent and measurable decision-making.
An Objective Sales Team Performance Assessment Model: Integrating Entropy Weighting and Multi-Attribute Utility Theory Rio Efendi; Adhie Thyo Priandika
Paradigma - Jurnal Komputer dan Informatika Vol. 28 No. 1 (2026): March 2026 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v28i1.8713

Abstract

Evaluation of sales team performance is essential for measuring the effectiveness of marketing strategies and achieving corporate goals. The main problem in evaluating sales team performance lies in the high subjectivity of assessments, unclear performance indicators, and difficulties in determining objective and consistent criteria weights. This situation results in evaluation outcomes that are unstable and potentially lead to suboptimal managerial decisions. To address this, the study applies a hybrid approach combining Entropy weighting and Multi-Attribute Utility Theory (MAUT). Entropy objectively derives criterion weights from data variability, while MAUT systematically transforms performance scores into utility values, enabling more consistent comparisons than traditional assessment methods. The research results show that the proposed model produces stable and quantitatively consistent rankings, with a utility score range between 0 and 1.0048 reflecting measurable performance differentiation among teams. Team G achieved the highest score of 1.0048, while Team D scored 0, indicating a significant performance gap. Compared to conventional methods, which tend to yield more homogeneous values, this hybrid approach is more effective in minimizing bias, enhancing discriminative power, and strengthening the reliability of managerial decision-making. This research makes a significant contribution to the development of scientific knowledge by presenting an innovation in the form of integrating the Entropy and MAUT methods in the context of sales team performance evaluation that is more objective, systematic, and data-based.
Co-Authors Ade Dwi Putra Ade Surahman Adi Adi Sucipto Adi Sucipto, Adi Aditya Saputra Afitra Tanthowi Agus Irawan Agus Wantoro Agus Wantoro Ahdan, Syaiful Ahmad Devin Alfitra Tantowi Anas Apririansyah Andi Nurkholis Anggun Dewi Utami Anggun Maylani Anisa Lestari Anissa Anggraini Annisa Anggraini An’ars, M. Ghufroni Ari Najeri Ari Sulistiyawati Arif Budiman Aryani, Venty A’yun, M Qurrota Bagas Aditama Bayu Pratama Bustanul Ulum Dedi Darwis Dedi Irawan Dellys Okta Wibowo Dina Ros Muryana Donaya Pasha Donaya Pasha Doni Riswanda Doni Riswanda Dwi Rahma Sari Dyah Ayu Megawaty Ebi Supriyadi Edison, Arif Rahman Edvan Agus Pratama Eky Khoiril Ulama Erliyan Redy Susanto Fazri Syanofri Fenty ariany Fitratullah, M. Fuad Surya Mawinar Gantar Galang Toyyibah Gunawan, Rakhmat Dedi Harry Anggono Hayatunnisa, Destaria Heni Sulistiani Imam Asyrofi Alfarisi Imroatun Qoniah Intan Anggrenia Isnain, Auliya Rahman Jeni Sagita Jeni Sagita Putri Johansyah Johansyah josua Armando silalahi Koeswara, Wawan Linda Fatmawati Lutfy, Azza’zunda Choibar Meiwidia Seftiana Mico Fahrizal Mirza Wijaya Putra Muhamad Amirudin Muhammad Alba Muhammad Indigo Muhammad Rahadiyan Bagaskara Muhaqiqin muhaqiqin Muhtad Fadly Ningsih, Ristia Octaviansyah, A. Ferico Parjito Parjito Pasaribu, A. Ferico Octaviansyah Permata Permata Permata Permata Permata, Permata Prabowo, Fransiskus Wahyu Sandy Prasetyo Bella Ramadhanu Prastowo, Agung Tri Putra, Farhan Nopransyah Putri, Jeni Sagita Rahmat Dedi Gunawan Rakhmad Dedi Gunawan Rakhmat Dedi Gunawan Rastomi Pamungkas Riduan Napianto Ridwan Janata Rifaldo, Setiawan Rio Efendi Riski Etien Malovi Rizki Putra Utama Rohaniah Rohaniah Rohmat Indra Borman Rosella, Rosella S. Samsugi Safira, Wilga Salsabila Indriyani Sanriomi Sintaro Sari, Kevinda Setiawansyah Setiawansyah Setiawansyah Setiawansyah Setyani, Tria Sherly Octavia Simamora, Parningotan Sinta Agita Sari Stevan Corry Polanco suaidah suaidah Temi Ardiansah Tia Nanda Pratiwi Tien Yulianti Very Hendra Saputra Wadiyan, Wadiyan Wahyu Widiantoro Wahyudi, Agung Deni Wahyuni, Dita Septia Wilga Safira Yogi Suwarno YOHANA TRI UTAMI, YOHANA TRI Yuri Rahmanto Yusma Indonesian Yusran, Muhamad