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All Journal Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Ekonomika Dan Bisnis
Octaviani, Julia
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Computer Science & IT Economics, Econometrics & Finance Mathematics

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Peramalan Jumlah Wisatawan Kabupaten Belitung Menggunakan Simulasi Monte Carlo Marcelina, Elen; Agustin, Tria; Luthfiyaturrohmah, Khilma; Octaviani, Julia; Pramita, Agnes; Monika, Ines; Dalimunthe, Desy Yuliana; Nasrun, Aja
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 12 Issue 1 June 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i1.25153

Abstract

One of Indonesia's mainstay sectors in receiving foreign exchange is tourism, especially during the Covid-19 pandemic, tourism contributed \$34 billion to state revenue. The tourism sector needs to be developed to support the country's economic growth. One of the priority destinations in Indonesia that can be developed is Bangka Belitung. The purpose of this study is to forecast the number of tourists in Belitung Regency so that it can facilitate the provision of facilities that support the tourism sector as well as promotional strategies to introduce tourist attractions in Belitung Regency to the general public. This study used data on the number of tourists in 2021, 2022, and 2023 in Belitung Regency which was analyzed using the Monte Carlo method. The accuracy of forecasting results is measured based on the Mean Absolute Percentage Error (MAPE) value. The number of tourists from this forecast is in accordance with the pattern of actual tourist data in Belitung Regency.The MAPE value in forecasting the number of tourists in Belitung Regency in 2022 is 21.45\%, which means that the prediction results produced are said to be good, while in 2023 it has an accuracy rate of 7.56\%, which means that the prediction results are said to be very good.
Analisis Kelengkapan Berkas Pada Kasus Pending / Gagal Klaim Guna Menunjang Ketepatan Klaim BPJS Di Rumah Sakit Umum Amira Purwakarta Octaviani, Julia; Susanti, Ai Susi
Jurnal Ekonomika Dan Bisnis (JEBS) Vol. 4 No. 4 (2024): Juli-Agustus
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jebs.v4i4.1947

Abstract

This study aims to determine the analysis of completeness of files in cases of pending/failed claims to support the accuracy of BPJS claims at the Amira General Hospital, Purwakarta.The research method used is a qualitative method with a systems approach through in-depth interviews as the primary data source and observations as secondary data in the form of inpatient claim files. From the results of the study it can be concluded that the results of the analysis of file completeness on the delayed/failed claim case variable is 91.8%, which means strong and 8.2% is influenced by other variables, namely error. 1. caused by doctors being busy in service 2. awareness of nurses to remind doctors to fill out medical resumes 3. expertise of claims officers and administration. The suggestions given to fix this problem are 1. Providing in-depth education to doctors regarding the importance of filling out a patient's medical resume is a responsibility that must be carried out in the midst of busy service, To reduce the impact of incomplete filling out of a Medical Resume, the competent authority shall issue a warning or sanction to doctors who do not comply. 2. Provide education to nurses to always remind doctors to fill out resumes when the doctor states that the patient is allowed to go home, 3. Hold meetings to discuss problems regarding claims file problems and hold training for claims officers and administration to develop skills on how to overcome problems that occur.
Co-Authors Agustin, Tria Ai Susi Susanti Desy Yuliana Dalimunthe, Desy Yuliana Luthfiyaturrohmah, Khilma Marcelina, Elen Monika, Ines Nasrun, Aja Pramita, Agnes