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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Juara: Jurnal Riset Akuntansi
Dennis V. Madrigal
University of Negros Occidental-Recoletos
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Estimation of closed hotels and restaurants in Jakarta as impact of corona virus disease spread using adaptive neuro fuzzy inference system Mohamad Yusak Anshori; Teay Shawyun; Dennis V. Madrigal; Dinita Rahmalia; Fajar Annas Susanto; Teguh Herlambang; Dieky Adzkiya
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i2.pp462-472

Abstract

Corona virus disease (COVID-19) have become a world health problem because they have attacked many people worldwide. Because this virus has spread massively in almost all countries, including Indonesia, the Indonesian government made some policies and rules to close down the hotels and restaurants to avoid the spread of COVID-19. Because of that, estimation of the number of closed down restaurants and hotels in Jakarta is vital for avoiding COVID-19 spreads further to other people, either domestic or foreign. In this paper, the adaptive neuro-fuzzy inference system (ANFIS) is chosen as the estimation method. In estimating the number of closed restaurants and hotels using ANFIS, supporting variables such as the amount of casualties in Jakarta, the amount of casualties in Indonesia, and the amount of casualties in the world is required. As a result, ANFIS can estimate the amount of closed down restaurants and hotels approaching the target. The simulations are organized by partitioning the dataset into two parts: data of (80%) and data of testing (20%). According to ANFIS simulations, ANFIS can estimate the number of closed down restaurants and hotels in training data with optimal RMSE equals 0.5324 and testing data with optimal RMSE equals 5.3198.
Financial Medical Policy: Navigating The Intersection of Accounting, Economics, and Healthcare Chris G. Sorongon; Sheryl S. Divinagracia; Anik Yuesti; Dennis V. Madrigal; Ni Luh Nyoman Sherina Devi
Juara: Jurnal Riset Akuntansi Vol. 16 No. 1 (2026): Juara: Jurnal Riset Akuntansi
Publisher : Program Studi Akuntansi Fakultas Ekonomi dan Bisnis Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36733/juara.v16i1.13871

Abstract

Financial medical policy refers to the frameworks and regulations that govern funding, reimbursement, cost management, and financial accountability within healthcare systems. As healthcare costs continue to rise globally, it becomes essential to understand how financial policies, accounting information, budgeting practices, and resource allocation mechanisms influence access to care, quality of services, and overall health outcomes. This research explores the interplay between financial medical policies and healthcare delivery from an accounting-oriented perspective, particularly in relation to cost control, transparency, accountability, and performance-based financing. Using a qualitative literature-based approach, this study analyzes empirical studies, institutional reports, and selected international case examples to identify key issues and policy implications. The discussion highlights that financial reporting, management accounting practices, budgeting systems, and public sector accountability mechanisms can support more effective healthcare governance. The study also emphasizes the importance of value-based care, ethical financial decision-making, health equity, and financial literacy among healthcare providers. Furthermore, this paper proposes recommendations for improving financial medical policies to ensure equitable healthcare access, efficient resource allocation, and sustainable financial management.
Co-Authors Anik Yuesti Chris G. Sorongon Dieky Adzkiya Dinita Rahmalia, Dinita Fajar Annas Susanto Mohamad Yusak Anshori Ni Luh Nyoman Sherina Devi Sheryl S. Divinagracia Teay Shawyun Teguh Herlambang