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Raditya Novianto
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Journal : ASRO JOURNAL - STTAL

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APPLICATION OF NETWORK ANALYSIS CRASHING METHOD IN EVALUATING THE SCHEDULE OF NAVAL BASE FACILITY DEVELOPMENT PROJECT Raditya Novianto; Suparno Suparno; Sutrisno Sutrisno; Abdul Rahman
JOURNAL ASRO Vol 12 No 01 (2021): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/asro.v12i01.392

Abstract

A project of base facility is a kind of routine developing in Indonesian Naval. In this developmentt is necessary to develop methods in measuring performance and evaluating project time through a more accurate critical path feature. The research problem statement is how to evaluate the project schedule related to the time and cost of the Indonesian Navy's facility construction project by conducting a case study as a study for project scheduling at a later stage. The research objective is to identify the critical path of the project through network analysis, determine the factors that cause delays and how to overcome them, and calculate the time effectiveness and cost-efficiency of the project based on the calculation of scheduling acceleration. In this study, project performance measurement was carried out using the Earned Value Method (EVM) and network analysis using the Precedence Diagram Method (PDM). The solution to overcome delays with the crashing project method. The results of the discussion identified 15 critical path activities. The factor causing the delay is the delay in activities on the critical path due to the low level of productivity of the workforce group. The crashing method through additional 2 hours/day overtime can solve the problem of delays so that project implementation can be accelerated from the implementation of 256 working days to 226 working days (11.72% effectiveness) with the initial project cost of Rp. 74,316,727,585.00 reduced to Rp. 72,152,162,704.00 (2.91% efficiency). It will be measurable and reasonable in responsibility when it was suitable with the target. Keywords : Network Analysis, Naval Base, and Project Development.
THE SELECTION OF ALTERNATIVES TRAINING SHIP TO SUBSTITUTE KRI DEWARUCI FOR NAVAL ACADEMY CADETS USING THE ANALYTIC NETWORK PROCESS (ANP) METHOD Sukmo Hadi Nugroho; Adi Bandono; Okol Sri Suharyo; Raditya Novianto
JOURNAL ASRO Vol 11 No 1 (2020): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.289 KB) | DOI: 10.37875/asro.v11i1.203

Abstract

Republic of Indonesia Ship (KRI) Dewaruci is a Naval Academy Cadets' (AAL) training ship that is old. Thiscondition is very susceptible to various threats of accidents while carrying out voyages around the world to cruisethe AAL Kartika Jala Krida Kadet. The government has planned to replace KRI Dewaruci with a new trainingship. This study aims to determine the selection of new prospective makers training ship by the Analytic NetworkProcess (ANP) method. This ANP method is used because the existing data have a relationship among thecriteria and the relationship between criteria and sub-criteria. In alternative selection, there are two main criteria,namely operational requirements criteria with four sub-criteria: security, geographical conditions, skills training,transfer of technology and technical requirement criteria with five sub-criteria: machinery, navigation, trainingequipment, platform, masts, and sails. The results of this study are the alternative priorities for new training shipreplacing the best KRI Dewaruci and also the priority of the main/critical sub-criteria. The biggest alternativescore value is a training ship made by Piere Shipyard made in Spain with a score of 0.50259.Keywords: Analytic Network Process (ANP), Super Decisions, Training ship, Criteria and Sub-criteria
Co-Authors Abdul Rahman Adi Bandono Avando Bastari Okol Sri Suharyo Sukmo Hadi Nugroho Suparno, Suparno Sutrisno Sutrisno