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All Journal Jurnal Ilmiah FIFO JTERA (Jurnal Teknologi Rekayasa)
Al Ghozali, Isnen Hadi
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Comparative Study of Association Rule Algorithms to Find an Effective Fiscal Policy Mix Al Ghozali, Isnen Hadi; Lestari, Triardani; Triyono, Gandung
JTERA (Jurnal Teknologi Rekayasa) Vol 8, No 2: December 2023
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v8.i2.2023.227-236

Abstract

In 2021, the government of Indonesia changed the way it spends money four times. The dynamics of the socio-economic environment, which changes so quickly, have implications for the complexity of policy making, which is demanded immediately. The policies taken tend to be influenced by the instincts of the leadership based on non-holistic data, so inappropriate policies are very likely to occur. This study aims to compare a priori, FP-Growth, and EClaT to find the best algorithm for formulating an effective fiscal policy mix based on historical data. This study uses the 2021 dataset, which includes 19,166 police records organized into Work Units. This study uses the Knowledge Discovery in Databases (KDD) approach. Our conclusion is the FP-Growth algorithm is the best way to find an effective policy mix. FP-Growth algorithm with minlen 7 reaches the best budget performance scores at 96.77. Meanwhile, the apriori algorithm can be relied upon to formulate a fiscal policy that is aligned between top management and middle management. The EClaT algorithm has the advantage of identifying the majority of fiscal policies that will be taken by middle management.
Systematic Literature Review of Near Field Communication Technology Acceptance for Daily Life Appliance Al Ghozali, Isnen Hadi; Akbar, Ipal; Handoko, Andy Rio
Jurnal Ilmiah FIFO Vol 16, No 2 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i2.005

Abstract

In the era of Internet of Things (IoT) development, there are many technologies that support the digital ecosystem, one of which is Near Field Communication (NFC). The basic standards for NFC devices have been developed since 2004. However, the practical and academic use of NFC is still limited. To address these issues, many researchers propose prototypes and the use of NFC. As a result, this study was designed to delve deeper into the findings of NFC-themed research. This study uses a systematic literature review method. This study aims to classify and examine the latest topics from various research results with the theme of NFC, which are classified into eight areas of use for the period 2018–2022. The results of this study found 9 articles (15.8%) related to medical appliances, 12 articles (21.1%) related to security issues, 9 articles (15.8%) related to education appliances, 7 articles (12.3%) related to mobile payments, 6 articles (10.5%) related to communication appliances, 7 articles (12.3%) related to business administration, 4 articles (7.0%) related to tourism support, and 3 articles (5.3%) related to infrastructure appliances. This finding can be a trigger for further researchers to raise the theme of NFC related to infrastructure appliances.
User Requirements Analysis for Government’s Budget Information System Using Kano’s Model Al Ghozali, Isnen Hadi; Fathin, Muhammad Askar; Handoko, Andy Rio
Jurnal Ilmiah FIFO Vol 17, No 1 (2025)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2025.v17i1.002

Abstract

This study finds out what attributes still require attention based on Kano’s Model analysis, which has to be used to prioritize software requirements in the government's or agency’s budget software. This research prioritizes software requirement attributes using Kano's Model. This research used an application by INTRAC as the basis for preparing a questionnaire distributed to 75 civil servants. From this research, it can be concluded that there are 15 sub-elements (including 25 features) classified as one-dimensional and four sub-elements (including eight features) classified as Indifferent. According to the Blauth Formula and continuous data analysis, the result shows a one-dimensional pattern. Based on the CS Coefficient, nine features are prioritized for development (especially the process budget revision). Development on the dimensions of interface requirements and functional requirements has the potential to increase the end user's satisfaction.
Co-Authors Akbar, Ipal Fathin, Muhammad Askar Handoko, Andy Rio Lestari, Triardani Triyono, Gandung