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All Journal Sigma : Journal of Economic and Business Journal Publicuho
La Ode Baka
Universitas Karya Persada Muna
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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OPTIMALISASI SISTIM INFORMASI MANAJEMEN RUMAH SAKIT DI RSUD LM. BAHARUDDIN KABUPATEN MUNA Muhammad Guntur Dano; La Ode Mohammad Masri; La Ode Baka; Muhammad Suriyadarman Rianse
Journal Publicuho Vol. 7 No. 3 (2024): August - October - Journal Publicuho
Publisher : Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35817/publicuho.v7i3.454

Abstract

This study aims to determine the extent of the implementation of the LM Baharudin Regional General Hospital Management System in Muna Regency. This study uses a qualitative approach, with primary and secondary data sources and supporting data obtained from books, journals, and report documents related to this study. The data analysis technique uses interactive data analysis according to Miles Huberman and Saldana. The results of the study show that SIMRS supports hospital operations by managing patient registration, medical records, and administrative reporting accurately, increasing efficiency and effectiveness. This system also reduces human error and improves data integration and the quality of patient care. To maximize benefits, hospitals need to plan the development of SIMRS well, involve various parties, and provide training to staff. The implementation of SIMRS must be accompanied by evaluation, ongoing maintenance, and integration between units to ensure a smooth and accurate information flow.
ANALISIS DINAMIKA SIKLUS PASAR PENGIRIMAN BERBASIS DATA HISTORIS DI KOTA KENDARI La Ode Baka; Eliyanti Agus Mokodompit
Sigma: Journal of Economic and Business Vol 8 No 1 (2025): Sigma : Journal of Economic and Business
Publisher : STIE ENAM ENAM KENDARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60009/r9yqa991

Abstract

This study aims to analyze the dynamics of the shipping market cycle in Kendari City using historical data to understand the pattern, duration, and factors that influence market fluctuations. This topic is important as the shipping market cycle has a significant impact on the performance of the shipping industry and regional economy, yet empirical studies at the local level are limited. The method used is a quantitative design with time series analysis and Hidden Markov Model (HMM) to identify market regimes and cycle transitions. Data were collected from tariff records and shipment volumes from 2008 to 2023. The results reveal the existence of market cycles with an average duration of 9 years consisting of boom, transition, and bust phases, and show the significant influence of fuel prices and the impact of the COVID-19 pandemic on market dynamics. The findings support business cycle theory and expand the understanding of shipping market volatility in the local context. The research conclusions emphasize the importance of adaptive strategies and risk management to deal with complex market fluctuations and provide a basis for policy making that supports the sustainability of the shipping industry in Kendari. The research also recommends the development of prediction models using real-time data and machine learning techniques for more accurate cycle analysis in the future.
Co-Authors Eliyanti Agus Mokodompit La Ode Mohammad Masri Muhammad Guntur Dano Muhammad Suriyadarman Rianse