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All Journal International Journal of Hydrological and Environmental for Sustainability Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Bambang Trigunarsyah
School of Property, Construction and Project Management, RMIT University
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

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Maintenance Scheduling for Buildings Using Fuzzy Logic Application I Nyoman Dita Pahang Putra; I Gede Susrama Mas Diyasa; Anak Agung Diah Parami Dewi; Bambang Trigunarsyah
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 16 No. 01 (2025): Vol.16, No. 01 April 2025
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2025.v16.i01.p05

Abstract

This research proposes an innovative approach to building maintenance scheduling using fuzzy logic. Fuzzy logic addresses uncertainty and complexity in decision-making processes concerning prioritizing and scheduling maintenance tasks. This study aims to enhance the efficiency of maintenance scheduling, reduce maintenance costs, and consider the variability in building conditions. Traditional methods, such as PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method), have limitations in accurately predicting scheduling times. At the same time, fuzzy logic offers a more precise approach to overcoming uncertainty. Implementing a maintenance scheduling model based on fuzzy logic is expected to yield a more adaptive and responsive maintenance plan in response to changes in building conditions. The results of this research are expected to contribute positively to building maintenance management by leveraging the advantages of fuzzy logic in addressing the challenges of complexity and uncertainty in building maintenance management. By applying fuzzy logic-based maintenance scheduling, it is hoped that precise and efficient building maintenance scheduling can be achieved, thereby minimizing project completion time and assisting project managers. The fuzzy logic method can be employed for construction project scheduling according to the schedule determined by the contractor. This allows the contractor to use it as a consideration for the total duration, along with detailed timing in the project proposal. For the owner, it provides insights into the potential project completion time.
Sustainable Water Infrastructure Assessment of Raw Water Availability and Demand in a Nickel Mining-Impacted Watershed: A Case Study of the Pali River, East Halmahera, Indonesia Hanie Teki Tjendani; Muliastuti; Sajiyo; Bambang Trigunarsyah; Buntara Sthenly Gan
International Journal of Hydrological and Environmental for Sustainability Vol. 5 No. 2 (2026): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v5i2.1243

Abstract

Rapid regional development, population growth, and land-use conversion associated with nickel mining have intensified pressure on raw water resources in many tropical watersheds. In mining-affected regions, the sustainability of water infrastructure depends not only on projected demand but also on the long-term reliability of raw water availability under low-flow conditions. This study assesses raw water availability, future clean water demand, and watershed protection requirements for the Pali River, the main gravity-fed raw water source for Maba City, East Halmahera, Indonesia. A quantitative hydrological approach was applied by integrating population projection, water demand estimation, watershed delineation, rainfall–runoff analysis using the F.J. Mock water balance model, and mining-induced catchment reduction scenarios. Water demand was projected to 2045, while dependable discharge was evaluated using Q90 low-flow reliability. The results show that the projected average clean water demand for Maba City reaches 36.19 L/s in 2045. Under the baseline non-mining condition, the Pali River watershed has an effective catchment area of 1.75 km² and a Q90 dependable discharge of 17.19 L/s. This value is already insufficient to meet the projected average demand under critical dry-season conditions. Mining-related catchment contraction further reduces the effective watershed area to 0.733 km² under Scenario 1 and 0.2973 km² under Scenario 2, decreasing dependable discharge to 7.20 L/s and 2.92 L/s, respectively. These findings indicate that the Pali River alone cannot provide a reliable long-term raw water supply for Maba City. Protection of the entire contributing watershed, development of alternative raw water sources, additional storage infrastructure, and continuous water quality monitoring are therefore essential to support sustainable water infrastructure planning in this nickel mining-impacted watershed.
Co-Authors Anak Agung Diah Parami Dewi Buntara Sthenly Gan Hanie Teki Tjendani I Gede Susrama Mas Diyasa I Nyoman Dita Pahang Putra Muliastuti Sajiyo