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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Teknoinfo IJID (International Journal on Informatics for Development) 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 Journal of Computing and Informatics Research 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 Global Science: Journal of Information Technology and Computer Science AI and Developmental Insights in Education (AIDIE)
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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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.
Perbandingan Kinerja Model ARIMA dan LSTM dalam Peramalan Harga Crypto Solana (SOL-USD) Berbasis Data Yahoo Finance Wadiyan Wadiyan; Permata Permata; Adhie Thyo Priandika; Rakhmat Dedi Gunawan
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.9444

Abstract

The extreme volatility and non-linear patterns of Solana (SOL) data, driven by its unique consensus mechanism and massive transaction volume, demand accurate forecasting methods to mitigate investment risks. This study compares the statistical method Autoregressive Integrated Moving Average (ARIMA) and Deep Learning Long Short-Term Memory (LSTM) using daily closing price data of SOL-USD from April 2020 to March 2025 obtained from Yahoo Finance. The ARIMA model was developed with optimal parameters (0,1,0), while the LSTM architecture utilized 50 hidden layer units with a 60-day timestep. Evaluation results indicate that the LSTM model significantly outperforms ARIMA, achieving an RMSE of 13.1352 and a MAPE of 6.07% (classified as highly accurate), compared to ARIMA's RMSE of 31.1241 and MAPE of 14.03%. The study concludes that neural network approaches are more effective and adaptive than traditional statistical methods in capturing the highly volatile price dynamics of crypto assets.
Kombinasi Metode MEREC dan TOPSIS dalam Seleksi Penerimaan Calon Karyawan Baru Ilham Nasul Fathon Muhaji. P; Adhie Thyo Priandika
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 3 (2026): Volume 4 Number 3 September 2026 (Issue in Progress)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i3.254

Abstract

The employee candidate selection process in many companies is still often carried out manually, resulting in decision-making that is subjective, inconsistent, and ineffective, especially when having to evaluate many applicants based on various criteria simultaneously. This situation makes it difficult for companies to determine the best candidate objectively and accurately. Therefore, this study aims to develop a Decision Support System (DSS) in the selection of new employee candidates by combining the MEREC (Method based on the Removal Effects of Criteria) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. The MEREC method is used to determine the weight of criteria objectively based on the influence of each criterion on the change in alternative performance, while the TOPSIS method is used to rank prospective employees based on their closeness to the positive ideal solution and their distance from the negative ideal solution. The criteria used in this study include education, work experience, technical skills, communication, and age. The results of the study indicate that the proposed method combination is able to produce a more objective, systematic, and accurate employee selection process. Based on the ranking results, alternative A7-IP obtained the highest preference value of 0.9945 and ranked first, followed by A5-EK with a value of 0.9427 in second place, and A1-AR with a value of 0.8946 in third place. The application of the MEREC and TOPSIS methods also successfully increased consistency and reduced subjectivity in the employee selection decision-making process.
Co-Authors Ade Dwi Putra Ade Surahman Adi Adi Sucipto Adi Sucipto, Adi Aditya Saputra Afitra Tanthowi Agus Irawan 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 Ari Sulistiyawati Arif Budiman Aryani, Venty Bagas Aditama Bayu Pratama Bustanul Ulum Dedi Darwis Dedi Irawan Dellys Okta Wibowo Dina Ros Muryana Doni Riswanda Doni Riswanda Dwi Rahma Sari Dwi Utari Iswavigra Dyah Ayu Megawaty Ebi Supriyadi Edison, Arif Rahman Edvan Agus Pratama Eky Khoiril Ulama Erliyan Redy Susanto Farhan Nopransyah Putra Fazri Syanofri Fenty ariany Fitratullah, M. Fuad Surya Mawinar Gantar Galang Toyyibah Gunawan, Rakhmat Dedi Harry Anggono Hayatunnisa, Destaria Heni Sulistiani Ilham Nasul Fathon Muhaji. P Imam Asyrofi Alfarisi Imroatun Qoniah Intan Anggrenia Isnain, Auliya Rahman Jeni Sagita Jeni Sagita Putri Johansyah Johansyah josua Armando silalahi Junhai Wang Koeswara, Wawan Krisna Widi Nugraha Linda Fatmawati Lutfy, Azza’zunda Choibar M Qurrota A’yun Meiwidia Seftiana Mico Fahrizal Mirza Wijaya Putra Muhamad Amirudin Muhamad Yusran Muhammad Alba Muhammad Indigo Muhammad Rahadiyan Bagaskara Muhaqiqin muhaqiqin Muhtad Fadly Ningsih, Ristia Octaviansyah, A. Ferico Parjito Parjito Parningotan Simamora Pasaribu, A. Ferico Octaviansyah Pasha, Donaya Permata Permata Permata Permata Permata Permata Permata, Permata Prabowo, Fransiskus Wahyu Sandy Prasetyo Bella Ramadhanu Prastowo, Agung Tri 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 Sinta Agita Sari Stevan Corry Polanco suaidah suaidah Sumanto Temi Ardiansah Tia Nanda Pratiwi Tien Yulianti Tiwuk Widiastuti Very Hendra Saputra Wadiyan Wadiyan Wahyu Widiantoro Wahyudi, Agung Deni Wahyuni, Dita Septia Wilga Safira Yogi Suwarno YOHANA TRI UTAMI, YOHANA TRI Yulaikha Mar’atullatifah Yuri Rahmanto Yusma Indonesian