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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Information Systems and Informatics
Muhammad Alam Pasirulloh
Udayana University
Computer Science & IT

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Oversampling vs. undersampling in TF-IDF variations for imbalanced Indonesian short texts classification I Nyoman Prayana Trisna; Ni Wayan Emmy Rosiana Dewi; Muhammad Alam Pasirulloh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 2: April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i2.26510

Abstract

Even though it is considered a more traditional method compared to more modern algorithms, term frequency inversed document frequency (TF-IDF) nevertheless produces good results in a range of text mining tasks. This study assesses the effectiveness of several TF-IDF modifications for short text classification. Imbalanced datasets are another issue that is addressed in this research. To rectify the imbalanced issue, we integrate standard, log-scaled, and boolean TF-IDF in short text classification with undersampling and oversampling methods. Precision, recall, and f-measure metrics are used to evaluate each experiment. The best result is obtained when applying boolean TF-IDF with the oversampling method. Oversampling methods outperform the undersampling methods in every experiment, although there are some cases where experiments with undersampling methods are considerable. Additionally, our conducted study reveals that employing modified TF-IDF, such as boolean or log-scaled versions, provides greater advantages to classification performance, particularly in handling imbalanced datasets, when compared to solely relying on the standard TF-IDF approach.
Information Security Evaluation at Hospital Using Index KAMI 5.0 and Recommendations Based on ISO/IEC 27001:2022 I Nyoman Adi Artha Wibawa; Anak Agung Ngurah Hary Susila; Muhammad Alam Pasirulloh
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.949

Abstract

Bali Mandara Regional Hospital integrates information technology into its healthcare services, but ransomware attacks pose significant risks to data security. In accordance with the 2016 Indonesian Ministry of Communication and Informatics regulation, Electronic System Operators (PSE) are required to ensure information security, emphasizing confidentiality, integrity, and availability. To support this, the National Cyber and Crypto Agency introduced the Index KAMI, an evaluation tool aligned with ISO/IEC 27001 standards. This study evaluates the hospital’s information security using Index KAMI 5.0, yielding a score of 177, which classifies its readiness as “Not Eligible” for ISO 27001 compliance. Recommendations for improvement include establishing clear governance policies, implementing systematic risk management, enhancing asset management with integrated inventories, and strengthening data protection through access control and encryption. Additional measures involve improving physical security with surveillance systems and fostering stronger vendor relationships through binding SLA agreements. By adopting these measures, Bali Mandara Regional Hospital can enhance its security system, protect patient data, and achieve compliance with international standards.
Co-Authors Anak Agung Ngurah Hary Susila I Nyoman Adi Artha Wibawa I Nyoman Prayana Trisna Ni Wayan Emmy Rosiana Dewi