Humans cannot survive without water. Cooking, bathing, washing, and other daily activities all require water. Water that is sometimes cloudy and yellowish becomes a problem for the community, leaks and pipe repairs also have an impact on the Makassar City PDAM water distribution process. This research aims to measure the risk of water distribution in Makassar City PDAM and get a proposed mitigation strategy to minimize the risk of water distribution in Makassar City PDAM. This study uses the House Of Risk (HOR) method to analyze the risk of water distribution in Makassar City PDAM. The result of this study are 15 risk events and 31 risk agent in the distribution of water in PDAM Makassar City. In the House Of Risk (HOR) phase I, there are 9 risk agents areatment with different levels of risk including 5 risk agents categorized as having a critical risk level (high risk) and 4 risk agents being categorized as having a moderate risk level (medium risk) and based on the House Of Risk (HOR) phase II, it is determined that the recommended mitigation proposal to reduce risk in water distribution must use a preventive maintenance strategy.
| Published in | American Journal of Mechanical and Industrial Engineering (Volume 7, Issue 4) |
| DOI | 10.11648/j.ajmie.20220704.12 |
| Page(s) | 63-69 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Water Distribution, Risk, Risk Mitigation, House of Risk (HOR)
| [1] | Rakhman, Z. and Ashari, M. I., (2012). Design and manufacture of water leak protection systems for PDAM customers. |
| [2] | Rahmat, S. S., & Sembiring, E. E. (2021). Analysis of Internal Control System in Non-Physical Water Loss Risk Management at PDAM Tirtawening. |
| [3] | Regulation of the Minister of Health Number 492 of 2010 Requirements for Drinking Water Quality. April 19, 2010. Jakarta. |
| [4] | Rohmawati, Y., & Kustomo, K. (2020). Water Quality Analysis at PDAM Semarang City Reservoir Using Physical, Chemical, and Microbiological Parameter Tests, and Combined with Chemometric Analysis. Walisongo Journal of Chemistry, 3 (2), 100. |
| [5] | Lagu, A. M. H. R., Amansyah, M., & Mubarak, F. (2016). Overview of Makassar City PDAM's 2015 Clean Water Supply. 8, 171–179. |
| [6] | Siregar, A., & May, A. (2017). Study on Winongo River Border Urban Clean Water, Kricak Village, Tegalrejo District. Urban Planning Techniques, 1 (1), 172–182. |
| [7] | Salilama, A. (2016). Analysis of Urban Clean Water Needs. Civilization Science, Engineering And Technology, 6 (2), 102–114. |
| [8] | Hadi, J. A., Febrianti, M. A., & Yudhistira, G. A. (2020). Supply Chain Risk Identification with the House of Risk (HOR) Method. 19 (2), 85–94. |
| [9] | Luin, N. E. N., Suardika, I. B., & Adriantantri, E. (2020). Supply Chain Risk Analysis and Control Using the House Of Risk (Hor) Method (Case Study: Ud Karya Mandiri). Valtech Journal, 3 (2). |
| [10] | Andriyanto, A., & Mustamine, N. K. (2020). Analysis of Risk Management and Risk Management Strategies at PT Agility International Using the House Of Risk (Hor) Method. Journal of Business Logistics, 10 (02), 4–11. |
| [11] | Kusnindah, C., Sumantri, Y., & Yuniarti, R. (2015). Risk Management in the Supply Chain Using the House of Risk (HOR) Method (Case Study at PT. XYZ). Journal of Industrial Systems Engineering and Management, 2 (3), 661–671. |
| [12] | Rizky, M. G. (2020). Supply Chain Risk Mitigation Analysis Using the HOR (House Of Risk) Method (Case Study: Metal Crafts Processing Center Area for Blacksmiths in Kajar I Village, Karang Tengah, Wonosari, Gunung Kidul). 1–111. |
| [13] | Padhil, A., Chairany, N., Ahmad, A., Ramli, H., & Malik, R. (2021). SUPPLY CHAIN RISK ANALYSIS IN KUB–IK MATARAM MACOA WITH HOUSE OF RISK (HOR). Journal of Industrial Engineering Management, 6 (2), 582-590. |
| [14] | Pujawan, I. N., & Geraldin, L. H. (2009). House of risk: a model for proactive supply risk management. Business Process Management Journal, 15 (6), 953-967. |
| [15] | Shahin, A. (2004). Integration of FMEA and the Kano model: an exploratory examination. International Journal of Quality & Reliabiity Management, 21 (7), 731-746. |
| [16] | Trenggonowati, D. L. (2017). Analysis of Risk Causes and Risk Mitigation Using the House of Risk Method in the Procurement Division. Journal of Industrial Services, 3 (1), 1–7. |
APA Style
Ahmad Padhil, Eriskah M., Lamatinulu, Muhammad Fachry Hafid, A. Dwi Wahyuni P. (2022). Risk Analysis of Water Distribution in PDAM City of Makassar Using the House of Risk (HOR) Method. American Journal of Mechanical and Industrial Engineering, 7(4), 63-69. https://doi.org/10.11648/j.ajmie.20220704.12
ACS Style
Ahmad Padhil; Eriskah M.; Lamatinulu; Muhammad Fachry Hafid; A. Dwi Wahyuni P. Risk Analysis of Water Distribution in PDAM City of Makassar Using the House of Risk (HOR) Method. Am. J. Mech. Ind. Eng. 2022, 7(4), 63-69. doi: 10.11648/j.ajmie.20220704.12
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Download@article{10.11648/j.ajmie.20220704.12,
author = {Ahmad Padhil and Eriskah M. and Lamatinulu and Muhammad Fachry Hafid and A. Dwi Wahyuni P.},
title = {Risk Analysis of Water Distribution in PDAM City of Makassar Using the House of Risk (HOR) Method},
journal = {American Journal of Mechanical and Industrial Engineering},
volume = {7},
number = {4},
pages = {63-69},
doi = {10.11648/j.ajmie.20220704.12},
url = {https://doi.org/10.11648/j.ajmie.20220704.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20220704.12},
abstract = {Humans cannot survive without water. Cooking, bathing, washing, and other daily activities all require water. Water that is sometimes cloudy and yellowish becomes a problem for the community, leaks and pipe repairs also have an impact on the Makassar City PDAM water distribution process. This research aims to measure the risk of water distribution in Makassar City PDAM and get a proposed mitigation strategy to minimize the risk of water distribution in Makassar City PDAM. This study uses the House Of Risk (HOR) method to analyze the risk of water distribution in Makassar City PDAM. The result of this study are 15 risk events and 31 risk agent in the distribution of water in PDAM Makassar City. In the House Of Risk (HOR) phase I, there are 9 risk agents areatment with different levels of risk including 5 risk agents categorized as having a critical risk level (high risk) and 4 risk agents being categorized as having a moderate risk level (medium risk) and based on the House Of Risk (HOR) phase II, it is determined that the recommended mitigation proposal to reduce risk in water distribution must use a preventive maintenance strategy.},
year = {2022}
}
TY - JOUR T1 - Risk Analysis of Water Distribution in PDAM City of Makassar Using the House of Risk (HOR) Method AU - Ahmad Padhil AU - Eriskah M. AU - Lamatinulu AU - Muhammad Fachry Hafid AU - A. Dwi Wahyuni P. Y1 - 2022/10/29 PY - 2022 N1 - https://doi.org/10.11648/j.ajmie.20220704.12 DO - 10.11648/j.ajmie.20220704.12 T2 - American Journal of Mechanical and Industrial Engineering JF - American Journal of Mechanical and Industrial Engineering JO - American Journal of Mechanical and Industrial Engineering SP - 63 EP - 69 PB - Science Publishing Group SN - 2575-6060 UR - https://doi.org/10.11648/j.ajmie.20220704.12 AB - Humans cannot survive without water. Cooking, bathing, washing, and other daily activities all require water. Water that is sometimes cloudy and yellowish becomes a problem for the community, leaks and pipe repairs also have an impact on the Makassar City PDAM water distribution process. This research aims to measure the risk of water distribution in Makassar City PDAM and get a proposed mitigation strategy to minimize the risk of water distribution in Makassar City PDAM. This study uses the House Of Risk (HOR) method to analyze the risk of water distribution in Makassar City PDAM. The result of this study are 15 risk events and 31 risk agent in the distribution of water in PDAM Makassar City. In the House Of Risk (HOR) phase I, there are 9 risk agents areatment with different levels of risk including 5 risk agents categorized as having a critical risk level (high risk) and 4 risk agents being categorized as having a moderate risk level (medium risk) and based on the House Of Risk (HOR) phase II, it is determined that the recommended mitigation proposal to reduce risk in water distribution must use a preventive maintenance strategy. VL - 7 IS - 4 ER -
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