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Journal : Applied Information System and Management

Web-Based Decision Support System for Selecting Exemplary Teachers using TOPSIS Method Sumardiono, Sumardiono; Ismail, Norhafizah; Shadiq, Jafar; Nida, Zahra Qotrun; Solikin, Solikin; Suryani, Riska
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45488

Abstract

This study creates an online Decision Support System (DSS) using the TOPSIS algorithm to fairly choose outstanding teachers from vocational schools in Bekasi City, which has 87 state and private vocational secondary schools with about 62,000 students. To tackle the current biased selection process, our research uses a multi-criteria approach that looks at discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). Targeting this substantial educational population, our research addresses the current subjective selection process by implementing a multi-criteria approach evaluating discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). The TOPSIS method was selected for its proven effectiveness in ranking alternatives based on geometric distance from ideal solutions, particularly valuable in large-scale educational contexts. Analysis of 14 teacher candidates from SMK Bina Karya Mandiri demonstrated the system's precision, with Didi Saputra, S.Pdi, emerging as top-ranked (preference value: 0.63). When extrapolated to Bekasi's 87 SMKs, the model shows potential to standardize teacher assessment citywide, reducing regional disparities in recognition practices. The web-based platform enhances accessibility, allowing principals across 21 sub-districts to input localized data while maintaining centralized benchmarking. Key findings reveal (1) discipline and personality collectively account for 45% of exemplary status determination, (2) cost-related factors show inverse correlation with remote school nominations, and (3) system implementation could reduce selection time by ≈68% compared to manual methods. This study contributes both a scalable framework for educational DSS and empirical data on vocational teacher excellence criteria in urban Indonesia.
Web-Based Decision Support System for Selecting Exemplary Teachers usingTOPSIS Method Sumardiono, Sumardiono; Ismail, Norhafizah; Shadiq, Jafar; Nida, Zahra Qotrun; Solikin, Solikin; Suryani, Riska
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45488

Abstract

This study creates an online Decision Support System (DSS) using the TOPSIS algorithm to fairly choose outstanding teachers from vocational schools in Bekasi City, which has 87 state and private vocational secondary schools with about 62,000 students. To tackle the current biased selection process, our research uses a multi-criteria approach that looks at discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). Targeting this substantial educational population, our research addresses the current subjective selection process by implementing a multi-criteria approach evaluating discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). The TOPSIS method was selected for its proven effectiveness in ranking alternatives based on geometric distance from ideal solutions, particularly valuable in large-scale educational contexts. Analysis of 14 teacher candidates from SMK Bina Karya Mandiri demonstrated the system's precision, with Didi Saputra, S.Pdi, emerging as top-ranked (preference value: 0.63). When extrapolated to Bekasi's 87 SMKs, the model shows potential to standardize teacher assessment citywide, reducing regional disparities in recognition practices. The web-based platform enhances accessibility, allowing principals across 21 sub-districts to input localized data while maintaining centralized benchmarking. Key findings reveal (1) discipline and personality collectively account for 45% of exemplary status determination, (2) cost-related factors show inverse correlation with remote school nominations, and (3) system implementation could reduce selection time by ≈68% compared to manual methods. This study contributes both a scalable framework for educational DSS and empirical data on vocational teacher excellence criteria in urban Indonesia.
Co-Authors Abdul Haris Romdhoni, Abdul Haris Adi Wibowo Afdal Mazni Agung Sri Darmayanti Aini, Hikmah Aldina, Dayang Alifiati Fitrikasari Anggraini, Yunita Anhar, Ina Ariesta, Eliza Arifiani, Librita Aripiyanto, Saepul Atikah Sari, Rizky Putri Atsirina Krisnaputri, Nilam Aulia, Indi Azidin, Yustan Bahrul Ilmi Benny Mutiara, Achmad Dalimunthe, Nova Lestari Darmadi Darmadi Diana Natalia Didik Setiyadi dini rahmayani Edi Sudrajat Endang Purwaningsih Endang Retnoningsih Ery Suhartanto Euis Saribanon, Euis febriyanti febriyanti Florensyah, Bernis Dian Gusan Putra, Merios Halimatun Sakdiah, Halimatun Hamzah Hamzah Handoyo, Dwi Hannum, Syarifah Harahap, Resti Amelya Harahap, Sanjaya Harjunadi Wicaksono, Harjunadi Heryani, Heryani Imron Imron, Imron Indra Muis Ismail, Norhafizah Ismiyati, Ismiyati Junaedi Abdillah, Junaedi lakantina, Sherly M. Syafwani Manik, Krisdayanti Maysita, Zea Muhammad Thamrin Muis, Indra Mulya Agung Nadiyah Nadiyah Napitupulu, Romauli Juliana Nida, Zahra Qotrun Norhidayat, Muhammad Nurhikmah Nurhikmah Nurliani Nurliani Prameswari, Ayu Medina Putri, Rita Ivanka Pratama Rahayu, Miranti Rayi Pradono Iswara Rita Wahyuni Arifin, Rita Wahyuni Riyanto Haribowo rolly marwan maturidy, rolly marwan RR. Ella Evrita Hestiandari Rully Pramudita Ruslinawati Ruslinawati, Ruslinawati S.Pd. M Kes I Ketut Sudiana . Sabani Sabani, Sabani Salsabila, Cinta Saptana Saptana Saputro, Soemino Eko Sari, Lindya Sarri, Aulya Aprina Shadiq, Jafar Siahaan, Alvando Sibagariang, Selpi Andryani Br. Silaban, Marchiana Ivo Silitonga, Mela Yanna Silowati, Mintut Simangunsong, Rufasa Mutia Salwa Siti Khumairoh, Siti Siti Mardiana Siti Nurfadilah Situmorang, Agtrimas Suhartini Ismail, Suhartini Suharto Abdul Majid Suharto Suharto Sukarlan Sukarlan, Sukarlan SUMADI SUMADI Sumardiono Sumardiono, Sumardiono Sundari, Sri Supam Wijaya, Arif Surjandy, Surjandy Suroto Suroto Suryadi Suryadi Suryana, Radit Suryani, Riska Syafitri, Aura Mutasyifa Syafwani, M Syahfitri, Intan Cahya Syaiful M Tanasale, Charlene Cleopatra Tarigan, Calvin Mahaga Teja, Husni Thamrin, HM Tiawan, Tiawan Trisna Ningsih Uni, Uni Wakidi Wakidi Wasila, Hardi Widiawati, Kristiana Yati Afiyanti Yurida Olviani, Yurida