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WBS-Pareto-ABC and CPI Model for Pre-Construction Cost Control of A-KRIS Hospital Building Endah Atika; Hermawan Hermawan; Hidayatus Sibyan
Journal of Infrastructure and Civil Engineering Vol. 6 No. 2 (2026)
Publisher : Program Studi Teknik Sipil Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/jice.v6i2.195

Abstract

Pre-construction cost control in hospital ward completion projects requires a systematic approach capable of identifying cost concentration before construction begins because healthcare rehabilitation works involve complex interations among MEP-HVAC, sanitation, air-conditioning systems and functional building components. This study aims to develop a novel pre-construction cost control framework by integrating the Work Breakdown Structure (WBS), Pareto-ABC analysis, Area Cost Index (ACI) and a newly proposed Control Priority Index (CPI) for the A-KRIS Hospital Building completion project at RSUD Hj. Anna Lasmanah Banjarnegara. A quantitative descriptive case study was conducted through Bill of Quantity (BoQ) validation, WBS mapping, cost aggregation by work zone and sub-work, area cost index calculation, Pareto-ABC classification, and CPI formulation. The project cost was IDR 930,571,644 (including 11% VAT), with an area cost index of IDR 606,093/m2. Cost distribution was highly concentrated in Teratai Ward (60.18%) and Soka Ward (39.10%) accounted for 78.78% of the total project cost. The proposed CPI further differentiates priority among high-cost work items by integrating cost contribution, zone dominance, ABC classification, and optional technical risk, enabling more targeted prioritization of AHU isolation, air-conditioning, sanitation, piping, aluminium works and nurse station components. Unlike conventional Pareto-ABC analysis, which prioritizes work items solely based on cumulative cost, the proposed WBS-Pareto-ABC-CPI framework provides a structured decision-support model that links cost concentration with managerial control priorities during the pre-construction stage. The framework contributes to construction management by transforming conventional BoQ data into a practical and replicable tool for preventive cost, procurement, quality, schedule and safety control that can be applied tohospital rehabilitazion and other public-building projects.
SISTEM PAKAR DIAGNOSA PENYAKIT AYAM PEDAGING MENGGUNAKAN METODE CERITAINTY FACTORY BERBASIS MOBILE Giri Wijanarko; Erna Dwi Astuti; Rina Mahmudati; Hidayatus Sibyan; Adi Suwondo
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 3 No 2 (2026): Juli
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v3i2.271

Abstract

Permasalahan penyakit pada ayam pedaging menjadi tantangan serius bagi peternak karena dapat menyebabkan kematian massal dan kerugian ekonomi yang signifikan. Kurangnya akses terhadap tenaga ahli dan kemampuan diagnosa mandiri menjadi hambatan utama dalam penanganan penyakit tersebut, khususnya di daerah pedesaan. Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis Android untuk mendiagnosa penyakit ayam pedaging menggunakan metode Certainty Factor. Metode Certainty Factor digunakan untuk mengukur tingkat kepastian diagnosa berdasarkan kombinasi nilai keyakinan dari pakar dan pengguna terhadap gejala yang dialami ayam. Hasil pengujian menunjukkan bahwa sistem pakar yang dikembangkan mampu memberikan hasil diagnosa dengan tingkat keakuratan mencapai 95% dibandingkan perhitungan manual. Sistem ini diharapkan dapat membantu peternak melakukan diagnosa terhadap penyakit ayam secara mandiri dan akurat, serta menjadi solusi praktis di tengah keterbatasan akses terhadap pakar.