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All Journal MEDIA ELEKTRIKA Jurnal Teknologi Informasi dan Ilmu Komputer Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Jurnal Tecnoscienza Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Electrical Engineering and Computer (JEECOM) JASEE Journal of Application and Science on Electrical Engineering Jurnal Fortech SinarFe7 Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Elconika: Jurnal Teknik Elektro Jurnal FORTECH
Machrus Ali
Universitas Darul Ulum & Institut Teknologi Sepuluh Nopember
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Transportation Other

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Development of an ANFIS-Based Method to Improve the Accuracy of Owner’s Estimated Cost in Construction Cost Management Markhaban Siswanto; Machrus Ali
Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Vol 11 No 1 (2026): MARET
Publisher : Program Studi Teknik Sipil, Fakultas Teknik, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/cvl.v11i1.1636

Abstract

An inaccurate Owner’s Estimate Cost (OEC) often triggers procurement failures in the purchasing process, thereby affecting cost performance and the success of government capital expenditure projects in Indonesia from a construction management perspective. The OEC serves as the primary benchmark for assessing the reasonableness of bids in construction procurement; calculation errors may lead to ineffective cost control, financial mismanagement, and regulatory non-compliance. Therefore, this study aims to improve OEC accuracy by developing an Adaptive Neuro-Fuzzy Inference System (ANFIS) model supported by a Linear Regression (LR) algorithm to predict price fluctuations that influence cost planning and procurement decisions for public building projects. Project data from state-owned building construction and unit price analysis data for the 2021–2024 period were analyzed to predict 2025 price changes (addenda) for various construction work items. The proposed model achieved strong accuracy, with Root Mean Squared Error (RMSE) values of 0.0108–0.0333 and Mean Absolute Error (MAE) values of 0.0099–0.0261 across multiple work descriptions, indicating a good model fit. These findings confirm that the model outperforms comparable studies in terms of precision and interpretability, and can serve as a data-driven approach to strengthen cost management, estimate planning, and procurement decision-making in construction management.
Co-Authors A.N. Afandi Abda Abda Achmad Zaini Afif Dwi Wijaya, Muhamad Agil Haikal, Muhammad Agus Raikhani, Agus Agus Siswanto Agustina, Devita Ahmad Yusuf Andrian Putra Alfian, Riski Ali Fikri Haiqal, Mochamad Anang Rohmad Jatmiko Anshoruddin, Ilham Arfaah, Saiful Arie Pambayun, Yoga Arrohman, Muhammad Arwan Satriaji, Faldy Askan, Askan Aslichah, Aslichah Asnun Parwanti Bahiyyah, Putri Burdirahaju, Rukmi Candra W.A, Farrel Dwi Ajatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Hariska, Maulana Efendi, Utoyo Faisal Faisal Fajardika, Risky Febrian Rizal Anas Haikal, Muhammad Agil Hasib Al Isbilly, Mohammad Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Indra Gunawan, Enggal Intan Sekar Novitasari Izzatul Umami Jatmiko, Anang Rohmad JUNAEDI Kadaryono, Kadaryono Kusuma Apsari, Venda Lutfi Cahyanto, Iqbal Maida W, Avi Markhaban Siswanto Markhaban Siswanto Miftachul Ulum, Miftachul Muhammad Ruswandi Djalal Muhlasin Muhlasin Muhlasin, Muhlasin Muhlasin, Muhlasin Nafiardli, Rizqi Novrianto, Elfizar Nur S, Novi Nur Salam Parwanti, Asnun Puji Astoro, Fany Wahyu Putra, Ahmad Yusuf Adriyan Rahman Sujatmika, Arif Rakhwati Tri Atmayanti, Dyah Rizal Anas, Febrian Ryo Setyawan Suhadak, Akemad Sunarti Sunarto Sunarto Triana, Triana Usman, Mualifi Zahwa, Aila Vairus