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All Journal Journal of System and Computer Engineering Journal of Hospital Administration and Management (JHAM)
Rozalina AMRAN
Institut Teknologi Bacharuddin Jusuf Habibie
Computer Science & IT Decision Sciences, Operations Research & Management Medicine & Pharmacology Public Health

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ANALISIS PENGARUH MUTU PELAYANAN KESEHATAN RUJUKAN PADA PROGRAM KJSU-KIA (KANKER, JANTUNG PEMBULUH DARAH, STROKE, URONEFROLOGI, KESEHATAN IBU & ANAK) TERHADAP KEPUASAN PASIEN DI RSUD.SAWERIGADING MENGGUNAKAN METODE STRUCTURAL EQUATION MODELING (SEM) Rismayanti Amran; Rozalina AMRAN; Saparuddin Latu; Asnani; Julia Fitrianingsih; Muhammad Tahir Malik
Journal of Hospital Administration and Management (JHAM) Vol 7 No 1 (2026): Journal of Hospital Administration and Management (JHAM)
Publisher : LPPM Universitas Awal Bros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54973/jham.v7i1.886

Abstract

This study aims to analyze the effect of referral healthcare service quality in the KJSU-KIA program (Cancer, Cardiovascular Disease, Stroke, Uronephrology, Maternal and Child Health) on patient satisfaction at Sawerigading Regional General Hospital (RSUD Sawerigading Palopo) using the Structural Equation Modeling (SEM) approach. Strengthening referral healthcare services has become one of the national health transformation priorities in Indonesia to improve access, quality, and continuity of healthcare services, particularly for catastrophic and priority diseases. This research employed a quantitative explanatory design with a cross-sectional approach involving 200 patients receiving KJSU-KIA referral services. Data were collected using SERVQUAL-based questionnaires covering five dimensions of service quality: Tangibles, reliability, responsiveness, assurance, and Empathy. Data analysis was conducted using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 software. The findings revealed that reliability, responsiveness, and assurance had a significant positive effect on patient satisfaction, while Tangibles and Empathy did not show significant effects. Among all dimensions, responsiveness was identified as the most dominant factor influencing patient satisfaction. The structural model demonstrated strong explanatory power with an R² value of 0.618, indicating that service quality dimensions explained 61.8% of the variance in patient satisfaction. The study concludes that improving responsiveness, reliability, and professional assurance is essential to enhance patient satisfaction in referral healthcare services within the KJSU-KIA program at RSUD Sawerigading Palopo.
Random Survival Forest for Time-to-Maturity Prediction in Black Soldier Fly ROZALINA AMRAN; Muhammad Syafaat; Andi Taufiqurrahman Akbar; Aulia Handayani Tahir
Journal of System and Computer Engineering Vol 7 No 4 (2026): JSCE: October 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i4.2854

Abstract

Black soldier fly (BSF, Hermetia illucens) larvae are widely used to biologically convert organic waste into value-added biomass, but the time required to reach maturity varies with rearing temperature, humidity, and feed intake, which complicates harvest scheduling. This study developed and evaluated a Random Survival Forest (RSF) model to predict the time-to-transition to the adult (‘Dewasa’) stage of BSF under right-censoring, using temperature, humidity, feed consumption, larval count, and larval weight as covariates, on a monitoring dataset of 8,000 observations (28.1% events, 71.9% censored) over a 30-day rearing period. As groundwork, regression and classification benchmarks were also trained; Random Forest and Gradient Boosting explained most of the variance in total biomass (R² = 0.9998) and feed conversion ratio (R² = 0.929–0.938) and achieved near-perfect phase classification (accuracy 0.9999), results interpreted cautiously given likely redundancy between predictors and these outcomes. In contrast, the RSF model itself achieved a Harrell and Uno C-index of 0.490, an Integrated Brier Score of 0.213, and a mean time-dependent AUC of 0.489, indicating discrimination and calibration close to chance despite permutation importance detecting statistically distinguishable contributions from humidity, larval count, and temperature. These findings show that, within the observed range of rearing conditions, environmental and feeding covariates carried only marginal information about maturation timing beyond what is captured by elapsed rearing day, and they motivate wider covariate ranges, multistate transition modelling, and additional substrate covariates before an RSF-based decision-support tool for circular organic waste management can be recommended for operational use
Co-Authors Andi Taufiqurrahman Akbar Asnani Aulia Handayani Tahir Julia Fitrianingsih Muhammad Syafaat Muhammad Tahir Malik Rismayanti Amran Saparuddin Latu