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All Journal Parameter: Journal of Statistics AKUNSIKA: Jurnal Akuntansi dan Keuangan
Gaffar, Ismail
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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Pengaruh Lokasi, Jarak Central Business District, dan Aksesibilitas terhadap Nilai Wajar Sewa Penempatan Mesin ATM di Kota Manado, Indonesia Partoho, Goklas Tunggul; Nadir, Rasyidah; Gaffar, Ismail
AKUNSIKA: Jurnal Akuntansi dan Keuangan Vol 5, No 1, Januari 2024
Publisher : Jurusan Akuntansi Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/akunsika.v5i1.4520

Abstract

AbstractState property (BMN) that have not been optimized for use can be utilized by others, one of which is banking companies as an effort to improve services through investment in the placement of ATM machines in certain locations according to corporate needs plans without reducing the Standard of Goods and Standard Needs (SBSK), and the quality of service based on the main duties and functions of each ministry/institution.  The determination of the amount of rent for the utilization of BMN as a contribution to Non-Tax State Revenue (PNBP) is based on the fair value of rent determined by the Government Assessor.  This study aims to examine the effect of location, CBD distance, and accessibility on the fair value of ATM machine placement rent based on a quantitative approach with data collection methods through field survey techniques on 45 ATM rental data in Manado City.  Meanwhile, the analysis technique used is Multiple Regression Analysis with data processing through the Eviews 10 (Econometric Views) program.  The results showed that the test value of the R Square Coefficient of Determination was equal to 0.5581 or 55.81% of the independent variable in this study was able to explain the dependent variable, while the remaining 44.19% was explained by other variables that were not included in this study and the error value.  It was concluded that simultaneously location, CBD distance, and accessibility positively affect the fair value of ATM machine placement rent. Keywords: Location; CBD distance; Accessibility; Fair Value of Rent; ATM  @font-face {font-family:Cardo; mso-font-alt:"Times New Roman"; mso-font-charset:0; mso-generic-font-family:auto; mso-font-pitch:auto; mso-font-signature:0 0 0 0 0 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; mso-pagination:none; mso-layout-grid-align:none; punctuation-wrap:simple; text-autospace:none; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman"; color:black; mso-font-kerning:14.0pt; mso-fareast-language:IN;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:10.0pt; mso-ansi-font-size:10.0pt; mso-bidi-font-size:10.0pt; mso-fareast-language:IN;}.MsoPapDefault {mso-style-type:export-only; mso-pagination:none;}div.WordSection1 {page:WordSection1;}div.WordSection2 {page:WordSection2;}div.WordSection3 {page:WordSection3;}
APPLICATION OF THE ARIMA METHOD IN FORECASTING THE PRICE RED CAYENNE PEPPER IN MAKASSAR CITY Arisandi, Arwini; Gaffar, Ismail; Makkulawu, Andi Ridwan
Parameter: Journal of Statistics Vol. 4 No. 1 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2024.v4.i1.17120

Abstract

Red chili is one of the commodities with very tall cost changes. The cost variance of red chili can be caused by a huge amount of supply and request. The higher the amount of supply, the lower the cost, and the lower the amount of supply, the higher the cost. This study aims to implement the ARIMA method in forecasting red cayenne pepper prices in Makassar City. Data analysis to forecast red cayenne pepper prices used the ARIMA method with the results show that the price range of chili is from IDR 13,000 to IDR 80,000, with a mean value of IDR 38,218. The model with the minimum SSE and MSE value is ARIMA(1,1,1), so this model be used in time series data modeling for forecasting. The results of forecasting using the best model obtained a MAPE value of 15.90%, which is in the range of 10-20%, so it can be concluded that the ability of the ARIMA(1,1,1) model in forecasting the price of red cayenne pepper includes the good category.
Co-Authors Andi Ridwan Makkulawu Arwini Arisandi Nadir, Rasyidah Partoho, Goklas Tunggul