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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA KLIK: Kajian Ilmiah Informatika dan Komputer
Nazruddin Safaat H
Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Analisis Manajemen Risiko TI Menggunakan Framework COBIT 5 Domain APO12 dan EDM03 Al Fajri; Novriyanto; Nazruddin Safaat H; Muhammad Affandes
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1396

Abstract

PT Perkebunan Nusantara V Pekanbaru is a state-owned enterprise or BUMN, operating in the field of oil palm and rubber plantations located in the city of Pekanbaru, Riau Province, PTPN V has utilized information technology in running the organization and business processes therein, there are risks- risks that will disrupt the application of information technology and even be detrimental to the company, such as the risk of technical specification errors, the risk of errors in self-estimated price calculations (HPS), the risk of errors in the Work Plan and Requirements (RKS) documents and the risk of server failure or network failure. Risk management is an effort for PTPN V as the basis for infrastructure in good risk management governance, the research was carried out with the aim of being able to carry out information technology risk management analysis and provide recommendations to harmonize risk management in information technology processes, using the COBIT 5 framework and appropriate domains, namely the APO12 and EDM03 domains, The data needed in this research is in the form of secondary data and primary data, in the EDM03 domain it is known that the capability value is 4.56, which means the company has reached capability level 5 (optimizing process), in the APO12 domain it is known that the capability value is 4.43, which means The company has achieved capability level 4 (predictable process). Recommendations are given for processes in the APO12 domain as the domain used for risk management, while for the EDM03 domain process as the domain for risk optimization in the procurement and IT sections of PTPN V Pekanbaru
Penetration Testing Information System Security Assessment Framework (ISSAF) Zul Azis Khan; Nazruddin Safaat H; Muhammad Irsyad; Teddie Darmizal
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1507

Abstract

The development of information technology has had a positive impact on various fields, including the field of web technology. Information technology has now become a necessity in improving the performance of organizations and educational institutions in achieving goals. Websites are a tool for institutions to promote to the general public. The https://kekampus.umri.ac.id/ website is an information system owned by the Umri campus which is used for PKKMB and Umri Masters, as a website that functions in storing data, it is necessary to increase security to prevent hacker attacks, there are several methods used, one of which is The ISSAF framework is a penetration testing standard used to test the resilience of websites. The aim of this research is to determine the security gaps of the https://kekampus.umri.ac.id/ website by using the penetration testing method with the ISSAF Framework. The ISSAF framework includes nine test assessments which include Information Gathering, Network Mapping, Vulnerability Identification, Penetration, Gaining Access and Privilege Escalation, Enumerating Further, Compromising Remote Users/Sites, Maintaining Access, and Covering Tracks. In this study, examiners only carried out four stages of the nine stages in the ISSAF framework. This research uses a black box strategy where testers are only given access to the target website domain. This research was conducted because of the problems that often occur in gacor slots in one of UMRI's information systems. The results of the analysis carried out found that there were several vulnerabilities that were lacking on the website, namely SQL injection attacks, cross JavaScript, cookie secure flags on the https://kekampus.umri.ac.id/ website. and provide suggestions or recommendations to improve security on the https://kekampus.umri.ac.id/ website.
Analisis Sensitivitas Confidence Threshold pada Semi-Supervised FixMatch untuk Klasifikasi Multi-Kelas Citra Chest X-Ray Ahmad Kurniawan; Muhammad Irsyad; Benny Sukma Negara; Surya Agustian; Nazruddin Safaat H
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.10028

Abstract

Optimizing the confidence threshold in pseudo-labeling is a critical technical challenge in Semi-Supervised Learning (SSL) for multi-class medical image classification, since an overly strict threshold limits the utilization of unlabeled data, while an overly loose threshold introduces low-quality pseudo-labels into the training process. This study applies the FixMatch method with a DenseNet-169 architecture as the backbone to classify three lung disease classes COVID-19, Pneumonia, and Normal under conditions of highly limited labeled data. The dataset used is the Covid19, Pneumonia, and Normal Chest X-Ray Images dataset from Mendeley Data, comprising 5,218 images, split into 70% training, 10% validation, and 20% testing. The experiment was systematically designed using three proportions of labeled data (5%, 10%, 15%) and three confidence threshold values (τ = 0.90; 0.95; 0.99), resulting in nine experimental scenarios. The results show that τ = 0.95 with 15% labeled data achieved the best performance (accuracy 97.41%, F1-Score 97.49%, AUC 0.9963) because it balances pseudo-label selectivity with a sufficient effective data volume: at a low label ratio (5%), the limited volume of labeled data means the lower mask rate at τ = 0.95 is not adequately compensated, so τ = 0.99 performs slightly better; whereas at a high label ratio (15%), the selectivity of τ = 0.95 produces high-quality pseudo-labels with adequate volume, driving improved generalization. This study contributes an empirical analysis of confidence threshold sensitivity in FixMatch for multi-class CXR classification with limited labeled data. These findings reveal that the effectiveness of the confidence threshold is contextual to label availability, and determining the optimal threshold cannot be separated from the available labeled data ratio.
Co-Authors Ahmad Kurniawan Al Fajri Muhammad Affandes Muhammad Irsyad Negara, Benny Sukma Novriyanto Novriyanto Surya Agustian Teddie Darmizal Zul Azis Khan