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Journal : bit-Tech

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Enhancing Contractor Evaluation Using Fuzzy TOPSIS-Based Decision Support System Barry Nuqoba; Kartono; Adli, Faiz Haidar Satriani; Effendy, Faried; Taufik
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2510

Abstract

Contractor evaluation remains a major challenge in safety-critical industries such as oil and gas, where the need to comply with stringent Health, Safety, and Environment (HSE) standards demands a robust and objective assessment mechanism. The existing manual evaluation methods are plagued by subjectivity, inconsistent data handling, and inability to resolve performance ties, leading to unreliable contractor differentiation. To address this problem, this study investigates how can a computational decision support framework minimize subjectivity and enhance ranking precision in contractor evaluations. It proposes a Decision Support System (DSS) based on the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to improve the accuracy, transparency, and efficiency of evaluations within the Contractor Safety Management System (CSMS). The DSS integrates qualitative and quantitative criteria using fuzzy logic and expert-assigned linguistic weights. Developed following the Waterfall software development lifecycle, the system was validated using black box testing and applied to realistic simulated data from ten contractors evaluated across multiple criteria and subcriteria. Results demonstrate that the DSS effectively resolves score ties present in manual evaluations, enabling finer distinctions among contractors, with the highest closeness coefficient of 0.479 achieved by the top-ranked contractor. This value reflects a 47.9% closeness to the ideal performance profile, marking a significant improvement over binary or aggregate-based evaluation methods..User feedback confirmed high satisfaction with system usability and performance. The proposed DSS offers a robust and adaptable framework for contractor evaluation, enhancing decision-making accuracy and operational transparency in high-risk environments. Its novelty lies in the integration of fuzzy linguistic modeling within a CSMS context to operationalize HSE performance evaluations. Future research should focus on incorporating advanced fuzzy logic methods and artificial intelligence to facilitate real-time, dynamic contractor evaluations under uncertainty.
Co-Authors Abu Bakar Adam Adli, Faiz Haidar Satriani Afdhal Afrinaldi, Feri Afrizal Agus Halid, Agus Ahmad Fauzan Ahmad Fauzan Ahmad Nafisi Ahmad Syukri Ainal Mardhiah Aji, Galih Purnomo Ali Shaban Ali. H Alya Vinnisya Ami, Iin Sulastri Ode Amir Amir Nurllah ANGRIAWAN, RANDY Anna Muwaffika Annajih, Moh. Ziyadul Haq Aschari Senjahari Rawe Asep Supriyana Asniah Syamsuddin Asriani Audrey Sagita Purnomo Azwan A’inul Yaqin, Sa’id Bafadhal, Husin Bagas Bahta, Fida Bambang Siswojo Barry Nuqoba, Barry Candra Puspitaningtyas Danar Dwi Priatna DEWANTO Dona Sandy Yudasmara Dudun Ubaedullah Dulfikar, Akhmad Edi Puryanto Eldiene Zaura I’tamada Ellyana, Cut Putri Elvita Indah Cahyani Eny Purwandari Erni Qomariyah Erwin Fallz, Irvon Faqihuddin, Ahmad Faried Effendy Fat Chiya Nidaul Chusna Fauzia Putra, Dwi Fikriyah Mardhatillah Fitriyah, Afiyatul Frischa Meivilona Yendi Haeruddin Handa, Muhamad Idham Handayani, Arifah Hanifa, Dina Hariawan MD Harziko Hasddin Hermansyah Hermansyah Hermin Indah Wahyuni Husnul Khatimah Ichal ILHAM Imam Hariadi Ishak, Alfian Islami Fatwa Isneini Isneini, Isneini Iwan Jasman Juhaeni Kartono Kasim, Syaifuddin Suhri Lailatussaadah M Nur, Lailatussaadah Latifah Hanum Laurens Kaluge, Laurens Laxmi Luthfiyah, Rara M. E. Winarno Ma'arif, Muhammad Anas Magvira Marliana Marni Safitri Maslihatin, Tatik Matthew A. Guevara Mhd Yadi Harahap Miftahul Fikri Mochammad Rusli Mohammad Edy Nurtamam, Mohammad Edy Muchammad Ibnu Muzakir Muhajirin, Muhajirin Muhamad Badar Muhamad Sulhan Muhammad Arafah Muhammad Hamzah Pratama Muhammad Ikhsan Muhammad Iqbal Oshmany Muhammad Kevin Muhammad Mamduh Nuruddin Muhammad Sabri Mukaddas, Jamal Mukhlisin Mumtazah Murwanti mustafa, la ode Nailah Mumtazah Nashiruddin nasir, muh Nasrul Fuad Erfansyah Nayli Okta Dwi Pratiwi Nia Shinta Nilda Tri Putri Noufal Zhafira Nova Amalia Novita Andriyani NUR ISMI Nurfaiza Nurisman, Husain Nurlansi Nurliana Nurma Nurrul Riyad Fadhli Nurulqolbi, Safira Nurzal, Nurzal Pasnur Pina, Wa Ode Putra Husin, Osu Oheo Rahmalia Syahputri Ramadani, Anggi Retno Sunu Astuti Rianda, Faizar Rifaldi, Abid Rijannah , Fera Rizqoh, Jazilatur Roichatuzzuhriyah Filailatil Fitriyah Rokimin RR. Ella Evrita Hestiandari Sa'idah, Ishlakhatus Said Amirulkamar Salamun, Asmita Salsabila, Ainun Syifa Santosa, Tomi Apra Sapto Nugroho, Kandung Selly Septyani Setiawan, Rochiyat Sg Naiboho, Henry Sigit Widiyarto Silalahi, Mesri Siraj Sishadiyati Siti Hardiyanti Bahnar Siti Zahara Suci Lestari SUHARTO Sukiati Sultrayansa Suprapto, Hugo Susi Dewi Susanti Susiati Susiati, Susiati Syafri Syahril marta SYAMSURI Tri Susilowati Trisnawati, Sherli Ubaidillah Vanny Apriliyanti Vika Mustaqotul Firdaus Wahyuddin Wahyuni Putri Wilda, Raihan WINARTO Wirli Hidayanti Wiwik Handayani Zainul Arifin Zuhriah, Amillatuz Zulfikar