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All Journal Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik Jurnal Informatika Ekonomi Bisnis
Pujiono, Ibnu
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Economics, Econometrics & Finance

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Model Perencanaan Kas Pemerintah Pusat Menggunakan Metode ANFIS dan ARIMA: Studi pada Satuan Kerja Wilayah Bayar Provinsi DKI Jakarta Pujiono, Ibnu
Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik Vol 9 No 1 (2024): Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan
Publisher : Direktorat Jenderal Perbendaharaan, Kementerian Keuangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33105/itrev.v9i1.596

Abstract

This study aims to compare performance of central government cash planning model using ANFIS (Adaptive Neuro-Fuzzy Inference System) and ARIMA (Autoregressive Integrated Moving Average) methods. The data used is the balance of realization unscheduled expenditure in the Province of DKI Jakarta within period 2015 to 2019 with a total of 48 datasets used as training data and 12 datasets for data checking. This research was conducted by comparing the performance of models in prediction using the RMSE (root mean square error) value generated by each model as the basis for evaluation. Data processing is assisted by the Eviews application to generate ARIMA models and Matlab applications for ANFIS models. The conclusion is that the ARIMA model has a better performance compared to ANFIS with a data timeframe of 60 datasets which results in a smaller RMSE value. The implication of this research is that the use of the ARIMA method can be used effectively on small datasets (short term) and the use of the ANFIS and ARIMA methods to predict budget realization balances can be applied to the Directorate General of Treasury as the manager of the state treasury to support data-based policies.
Influencing Factors Analysis IoT Adoption in Indonesian State Housing Management Information System Agtyaputra, Irfan Murtadho; Raharjo, Teguh; Pujiono, Ibnu
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 2 (June 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i2.914

Abstract

The Internet of Things (IoT) has revolutionized asset management in Smart Homes. In Indonesia, one of the biggest struggles in implementing emerging technology in the e-government system is connecting the users' behavioral intention with the suitability of the type of work and the technological convenience offered. A technology acceptance and use model is proposed to address this issue by analyzing the correlation between IoT adoption in asset management. The model draws insights from two complementary methods: user behavioral intention predicts utilization, and task-technology fit predicts performance with moderating factors analysis. The study finds that social influence, hedonic motivation, and price value factors are compelling users' intentions to adopt the Internet of Things in asset management. The IoT technology is deemed worth the price for asset management, particularly for state residences, due to its automation, accuracy, and real-time features. It also enhances decision-making, as the asset information is more reliable and secure. This study enriches moderating factors analysis to study the effect of technology adoption. Additionally, research on asset management systems still needs to be improved, especially in the government sector. In conclusion, this study provides insights into adopting IoT in the government sector and its potential to transform asset management.
Co-Authors Agtyaputra, Irfan Murtadho Raharjo, Teguh