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Pengembangan Algoritma Manajemen Risiko Proyek Konstruksi Yetrina, Mutiara
Jurnal Optimasi Sistem Industri Vol. 17 No. 1 (2018): Published in April 2018
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1300.031 KB) | DOI: 10.25077/josi.v17.n1.p101-112.2018

Abstract

The success of a project is uncertain. There is a possibility that the project was successful or failed. Some of the risks that may occur in the project include the arrival of goods or the completion of work late from the time set, design changes due to obstacles in the field, as well as other risks. It is therefore necessary to study the project risks to identify potential problems that may occur and make decisions to reduce risks and increase the likelihood of success of the project. In order for risk management to be performed, the owner must know the steps in evaluating the project and the steps in the implementation of risk management. This study discusses the development of algorithms for project evaluation and risk management. The resulting algorithm is then implemented to the CC-II civil construction project at Indarung VI Project. The results of the implementation show that the project is not running in accordance with the plan. The dominant factors causing delays include BOQ miscalculation by consultants, inadequate and slow decision-making mechanisms, and details of workmanship changes.
Analisis Karakteristik Fisiko-Kimia dan Pengendalian Variabilitas Kualitas Ekoenzim Berbasis Limbah Organik Domestik ., Maidawati; Yetrina, Mutiara; Sepriana, Rina; ., Susriyati; Harma, Beni
Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta Vol 5 No 1 (2026): Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jppie.v5i1.2420

Abstract

Waste is one of the problems faced by many countries in the world, including Indonesia. Indonesia is one of the world's largest waste contributor developing countries. Waste can come from restaurants, factories, companies, schools, government agencies, households, etc. Domestic organic waste management is still a serious environmental problem, this is characterized by the high contribution of organic waste to national waste generation and limited capacity of landfills. Ecoenzymes are one of the alternative approaches developed in the use of organic waste. However, the development of ecoenzymes towards a wider production scale still faces the main challenge in the form of product quality variability, especially related to the stability of physico-chemical properties. This study aims to analyze the physico-chemical characteristics and variability of the quality of the eco-economy based on fruit, vegetable, and mixed waste materials as the basis for quality control and process stratification The study method used an experimental design with three treatments of 1:3:10 (sugar:waste:day) for 90 days under anaerobic conditions. The quality parameters analyzed included acidity (pH) and turbidity (NTU), which were measured using a digital pH meter and a calibrated turbidimeter. The data were analyzed statistically descriptively. The results showed that fruit-based ecoenzymes produced a lower and more stable pH (average 3.21 ± 0.15) compared to vegetable waste (average 3.9 ± 0.42). The turbidity level is low (<15 NTU), while vegetable waste produces a higher pH (3.95 ± 0.42) with high turbidity (< 50 NTU). From an industry perspective, vegetable-based ecoenzymes demonstrate the need for stricter process control and standardization to ensure product consistency in mass production.