Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Aiti: Jurnal Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT
Aminudin, Agus
Unknown Affiliation
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Kematangan risiko keamanan informasi layanan TI menggunakan pendekatan NIST dan standar ISO 27001:2013 (Studi kasus: Bapenda Provinsi Jawa Tengah) Aminudin, Agus; Supriyanto, Aji
AITI Vol 21 No 2 (2024)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v21i2.210-229

Abstract

The application of Information Technology (IT) often poses risks, such as incorrect application processes, data theft and data corruption. With the increasing risk, greater control is needed. For this reason, it is necessary to see whether the running system is equipped with adequate control. The Regional Revenue Management Agency (BAPENDA) of Central Java Province has utilized IT in its activities. The absence of adequate information security standards impacts data or information that is less secure, both in terms of confidentiality, integrity, and availability. The aims and objectives of the research are to measure KAMI risk maturity, such as conducting an IT assessment managed by BAPENDA. For example, vehicle tax payment service application, Android (New Sakpole), and IT infrastructure. The results of KAMI Maturity Level at BAPENDA in security policy clauses were 0.76, organization KAMI 1.24, control asset classification 0.63, personnel security 1.12, incident management KAMI 1.21, business continuity management 0.51, physical and environmental security 1.61, system development and maintenance 2.94, access control 4.18, communications and operations management 4.58 and, compliance 2.07. Mapping asset identification with NIST-CSF obtained several assets: hardware, software, employee, and information/data. The results show that assets in BAPENDA have a high risk (High) Risk Avoidance, so they require mitigation using NIST controls and Annex ISO-IEC 27001:2013.
Usability Sentiment Analysis Menggunakan Metode SUMI, NLP Scikit-Learn pada Aplikasi New Sakpole Aminudin, Agus; Hadiono, Kristophorus; Nugroho, Kristiawan
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 2 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i2.5451

Abstract

This research will discuss issues related to how to evaluate the usability and Sentiment Analysis aspects of the New Sakpole application system, how to determine the level of user satisfaction in using the New Sakpole mobile application and to determine sentiment analysis based on the results of analysis using the SUMI and NLP tools. The research objective is based on the formulation of existing problems to provide usability aspect values for the development of the New Sakpole mobile application and generate recommendations for improvement and determine the level of positive and negative sentiment analysis by using the New Sakpole Application as a medium for paying Motor Vehicle Tax. The test uses the Software Usability Measurement Inventory (SUMI) tool, the New Sakpole mobile application system, which is very helpful and can provide value to the community in the online vehicle tax payment process. This can be seen and obtained from a scale of helpfulness and efficiency resulting from a maximum score of 100 with an average score of 101 and 86.2. The results of the test using the SUMI tool, all average aspects get above average results, so the level of usability that occurs is that the use of New Sakpole has worked and is running well. The test uses Scikit-Learn Natural Language Processing (NLP) that the results of processing the review dataset on the New Sakpole Application from the Google Play Store with a total of 4704 reviews and a sampling of 500 reviews, that the response or reviews of the community using the New Sakpole application are negative even though for Acuracy word (words) that conveyed a review of 80.90%. From the results of the sample data test that index 0 is negative so that the words "good, very enlightening" can be concluded with Sentiment is 1 (POSITIVE)".
Co-Authors Aji Supriyanto Dian Kristiawan Nugroho Kristophorus Hadiono