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Prediction Of Project Schedule Performance Index for Trans South Java Road Project Lot 7 Blitar Regency Using Bayesian Network Kristya Hadi Wicaksono; Jojok Widodo Soetjipto; Gusfan Halik
UKaRsT Vol. 7 No. 1 (2023): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v7i1.3552

Abstract

The south coast of Indonesia has considerable potential and competitiveness in the field of tourism. This encourages the government to strive to improve tourism infrastructure through the construction of the South Coast Road. In its implementation, project reporting must be measured and controlled to assist project management in identifying problems and factors that affect project activities.  This research aims to identify the most influential factors on Schedule Performance Index and develop a prediction model using the Bayesian Network. 5 main factors that affect project performance, such as Heavy Equipment, materials, Implementation and Work Relations, Labor, and Environment are used to are set 13 scenarios to detect the behavior of each factor appropriately. The factor is confirmed to the respondent to ensure that the factor occurs in the project. The study's results obtained Bayesian Network approach can be used to assess the condition of the JLS Lot 7 Blitar  Schedule Performance Index (SPI) with an accuracy of around 80%. The dominant factor affecting SPI is the condition of the Heavy Equipment.  The condition of the Heavy Equipment will affect the condition of SPI so closely that the contractor must maintain the performance of the heavy equipment so that the project performance is always in good condition. The identification results are expected to help in better decision-making and project risk management.
Fabrication and Characterization of Environmentally Friendly Bioplastic Film Based on Chitosan from Cassava Peel Starch Reza, Muhammad Fahmi; Irfan, Akhmad; Hakim, M Furqon; Wicaksono, Kristya Hadi; Panse, Vishal R.; Shukla, Alok
International Journal of Hydrological and Environmental for Sustainability Vol. 4 No. 3 (2025): 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.v4i3.791

Abstract

Bioplastics are renewable materials capable of natural degradation and can be synthesized using bio-organic compounds such as cellulose, chitosan, carboxymethyl cellulose (CMC), and glycerol. Cassava peels, an agricultural byproduct, are a rich source of starch and cellulose, making them a promising raw material for bioplastic production. This study aims to fabricate and characterize chitosan-based bioplastic films using cassava peel starch, with a focus on optimizing their mechanical and biodegradation properties. Bioplastic films were prepared by combining cassava peel starch, chitosan, CMC, and glycerol, with chitosan concentrations varied at 45% and 75%. The films were evaluated for surface morphology using Scanning Electron Microscopy (SEM), tensile strength, elongation at break, water absorption capacity, and biodegradability. SEM analysis revealed that chitosan concentration significantly influenced the film morphology, which in turn affected mechanical and swelling properties. The highest tensile strength (0.07 MPa) and elongation (22.5%) were observed in films with 75% chitosan. Water absorption peaked at 93.32% for the same formulation. Biodegradability tests showed complete degradation (100%) within 12 days for films with 45% chitosan. These findings demonstrate that cassava peel starch combined with chitosan can produce biodegradable films with tunable properties, offering a sustainable alternative for packaging and other applications.