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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) The Indonesian Journal of Computer Science
Putra, Ramadhoni
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Factor analysis influencing Mobile JKN user experience using sentiment analysis Al Qahar, Muhammad Yazid; Ruldeviyani, Yova; Mukharomah, Ulfah Nur; Fidyawan, Miftahul Agtamas; Putra, Ramadhoni
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1782-1793

Abstract

Social security administration for health or Badan Penyelenggara Jaminan Sosial Kesehatan (BPJS Kesehatan), as a public legal entity, has a critical role in the health of the Indonesian population. BPJS Kesehatan introduced the Mobile national health insurance or jaminan kesehatan nasional (JKN) application to enhance its services, enabling Indonesians to access it directly. Nevertheless, the rating of the Mobile JKN application on the Google Play Store has shown a gradual decline over time. Therefore, this study was conducted to analyze the factors influencing the user experience of the Mobile JKN application, utilizing the review data obtained from the Google Play Store. Sentiment analysis using the Naïve Bayes (NB) classification model and support vector machine (SVM) combined with synthetic minority oversampling technique (SMOTE) and slang word replacement. The results obtained an accuracy value of 93.33%, precision of 93.76%, recall of 93.33%, and F1-score of 93.43%. A further analysis was conducted using online service quality factors to obtain the main factors influencing the experience of Mobile JKN application users. The evaluation findings revealed that factors of security, ease of use, and timeliness are three fundamental aspects that should be given immediate attention by BPJS Kesehatan while improving the Mobile JKN application in the future.
Manajemen Risiko Keamanan Informasi: Studi Kasus Pusat Data Dinas XYZ Putra, Ramadhoni; Setiyadi Yazid
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4129

Abstract

The increasing number of cyber attacks on government institutions in Indonesia demands assurance of security to protect crucial data. Given the high dependence on data centers and in order to maintain the credibility of these institutions, a comprehensive information security risk management plan is required to ensure the confidentiality, integrity, and availability of data center services. In developing the information security risk management plan for data centers, this research utilizes the ISO/IEC 27005:2018 framework as the primary framework in the risk management process, NIST SP 800-30 Rev. 1 as a guide for conducting risk assessment activities, and CIS CSC as a reference for determining recommendations. From the risk assessment, 47 risks were identified. Out of these 47 risks, 30 require mitigation, while the remaining 17 can be accepted by the organization
Co-Authors Al Qahar, Muhammad Yazid Fidyawan, Miftahul Agtamas Mukharomah, Ulfah Nur Setiyadi Yazid Yova Ruldeviyani