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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer At-Taqaddum Management Analysis Journal Jurnal Kedokteran Gigi Universitas Padjadjaran Jurnal Ilmiah Peuradeun Jurnal STIE Semarang (Edisi Elektronik) Tunas: Jurnal Pendidikan Guru Sekolah Dasar Mudir : Jurnal Manajemen Pendidikan bit-Tech JURNAL CAPITAL : Kebijakan Ekonomi, Manajemen dan Akuntansi Darul Ilmi: Jurnal Ilmu Kependidikan dan Keislaman Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat: Humanity and Medicine International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Sehat Indonesia (JUSINDO) Wijaya Putra Law Review Kartika: Jurnal Studi Keislaman Scoring: Journal of Film Music Neurona Addabani: Interdisciplinary Journal of Islamic Education Jurnal Pengabdian Masyarakat Management Analysis Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Inovasi Sosial: Jurnal Pengabdian Masyarakat House of Wisdom: Journal on Library and Information Sciences Journal of Neurointervention and Stroke (JNeViS)
Achmad Junaidi, Achmad
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Aplikasi OMR untuk Pemeriksaan Lembar Jawaban menggunakan DexiNed Prastyo, Kus Dwi; Junaidi, Achmad; Aditiawan, Firza Prima
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3425

Abstract

Digital image processing is a field of computer science that focuses on analyzing and interpreting digital images to extract meaningful information. One of its applications is Optical Mark Recognition (OMR), a technology used to detect marks on documents. OMR is commonly utilized for evaluating answer sheets. However, conventional OMR systems typically rely on specialized scanners that are expensive and lack flexibility. Although Computer-Based Testing (CBT) offers the convenience of automated scoring, its implementation heavily depends on the availability of technological infrastructure such as computers, internet connectivity, and a stable power supply. This study develops a real-time Optical Mark Recognition (OMR) application capable of performing answer sheet assessment directly on the client side. The system utilizes the DexiNed method for edge detection of the answer areas. The application is web-based and built using JavaScript and OpenCV.js to process images directly from the user's device camera. Testing was carried out under various scenarios, including different lighting intensities, scanner positions, pencil types, and shading quality. The results show that the application can detect marked answers with an accuracy up to 100%, although some limitations were observed under certain technical conditions. Weaknesses were found in low lighting conditions using a 5 watt lamp at a distance of 3 meters, light reflections, and the camera angle was not aligned with the answer sheet. Overall, the application provides an efficient and flexible alternative for answer sheet assessment without requiring dedicated scanning devices, making it suitable for educational institutions with limited infrastructure.
Design of Thesis Topic Recommendation System Using TF-IDF and Cosine Similarity Arrisalah, Muhammad Baihaqi; Haromainy, Muhammad Muharrom Al; Junaidi, Achmad
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3579

Abstract

Selecting a thesis topic is a critical stage in a student’s academic journey and frequently poses substantial cognitive and procedural challenges. This study reports the design and implementation of the Computer Science Thesis Recommendation System (SRSIK Hub), a web-based decision-support platform aimed at improving the efficiency and accuracy of thesis topic selection. The primary novelty of this research lies in the systematic integration of Term Frequency–Inverse Document Frequency (TF-IDF) and Cosine Similarity within a large-scale academic corpus to model fine-grained semantic relevance between student interests and prior thesis documents, enabling more precise and transparent recommendations than conventional keyword-based searches. The system adopts a content-based filtering approach and processes approximately 4,000 thesis records collected from multiple university repositories. Textual data are preprocessed and transformed using TF-IDF vectorization, while Cosine Similarity is employed to rank candidate topics according to relevance. System effectiveness was evaluated using the WebUse Framework involving 75 student respondents. The evaluation yielded an overall score of 4.44 out of 5, indicating high usability, strong information quality, and reliable system functionality. This performance score demonstrates that the proposed recommendation model is not only technically sound but also practically applicable in real academic settings, where it can significantly reduce topic selection time and uncertainty for students. The results confirm that SRSIK Hub effectively supports students in identifying research topics aligned with their academic interests and competencies. Beyond local deployment, the system is transferable to other institutions for scalable thesis recommendation support.
Evaluating Web Application Security Using OWASP Top 10 and NIST SP 800-115 Vierino, Farrel Tiuraka; Wahanani, Henni Endah; Junaidi, Achmad
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3702

Abstract

Cybersecurity assurance for public-facing government websites remains critical amid accelerating digital transformation. This study adopts an exploratory–evaluative research design to systematically examine and validate the security posture of the Surabaya Public Slaughterhouse (RPH Surabaya) website through an integrated application of OWASP Top 10 (2021) as a vulnerability taxonomy and NIST SP 800-115 as a procedural testing framework. The methodology follows structured planning, discovery, attack, and reporting phases. Discovery combined reconnaissance tools (Nslookup, Whois, Nmap, Dirsearch, Wappalyzer, and Google Dorking) with OWASP ZAP scanning, while attack validation employed Burp Suite, SQLMap, and browser-based developer analysis within a controlled Kali Linux environment. Thirteen potential vulnerabilities were detected, of which ten were empirically confirmed after manual verification. Confirmed weaknesses were predominantly categorized as Security Misconfiguration, including missing Anti-CSRF protections, directory browsing exposure, absent Content Security Policy and anti-clickjacking headers, outdated JavaScript libraries, insecure cookie attributes (missing HttpOnly and SameSite), lack of Strict-Transport-Security and X-Content-Type-Options headers, and user-controllable HTML attributes. The contribution lies in demonstrating a reproducible dual-framework validation pipeline that distinguishes scanner alerts from confirmed exploitability, thereby strengthening methodological rigor in public-sector web security assessment. These findings indicate systemic configuration-level risk exposure that may elevate susceptibility to XSS, CSRF, clickjacking, and injection-related threats relative to comparable public-institution websites. However, the assessment is limited to a single institutional website and an unauthenticated testing scope, constraining generalizability and deeper application-layer analysis.
Uncovering Hidden Security Risks in Government Web Portals Using Penetration Testing and Attack Modeling Salsabila, Belia Putri; Endah Wahanani, Henni; Junaidi, Achmad
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3776

Abstract

Government web portals that consolidate public services and process personally identifiable data are prime targets for cyber adversaries. However, many existing assessments rely on single-framework methodologies that provide limited adversarial context and insufficient prioritization guidance. This study evaluates the security posture of System X, a public-facing government portal in Indonesia, using a grey-box penetration testing approach that integrates OWASP Top 10:2021, CVSS v3.1, and MITRE ATT&CK. Automated scanning using OWASP ZAP and Nessus identified 12 potential vulnerabilities, which were subsequently validated through manual testing using Burp Suite, cURL, SQLmap, and browser developer tools. The validation process confirmed nine True Positives and three False Positives, resulting in a 25% false positive rate, consistent with prior studies on government web applications. The identified vulnerabilities fall within Broken Access Control, Security Misconfiguration, and Identification and Authentication Failures, with CVSS Base Scores ranging from 4.2 to 6.1. Unlike traditional severity-based assessments, the integration of MITRE ATT&CK enables adversarial behavior mapping and reveals dependency relationships between vulnerabilities. For example, a single Content Security Policy (CSP) misconfiguration was found to enable multiple attack techniques (T1059.007), demonstrating that addressing one root cause can mitigate several related vulnerabilities simultaneously. This integrated approach enhances vulnerability prioritization by providing both severity and attacker-context insights, offering more actionable remediation strategies compared to single-framework methods. The findings contribute to improving practical security assessment methodologies for government systems and support evidence-based cybersecurity decision-making.
Co-Authors Abadi , Totok Wahyu Abda Abda Adwirianny, Ashita Hulwah Agung Prasetyawan AHMADI Amar, Muhammad Ana Afida Anggraeni, Dya Anggraini Puspita Sari Apriyono, Apriyono Ardiyansyah, Moh. Angga Arrisalah, Muhammad Baihaqi Aryanto, Tossy Awerman Awerman Buhori, A Ary Firman Chotib, Moc Dimas Satria Prayoga Diyasa, I Gede Susrama Mas Elsa Adelia, Febri Enggardipta, Raras Ajeng Erik Iman Heri Ujianto Fatullah, Ryan Reynickha Febrianti, Sania Fetty Tri Anggraeny Fidyah Yuli Ernawati, Fidyah Yuli Firza Prima Aditiawan Fitriyah, Eliyatul Hartarini, Yovita Mumpuni Hendrayati, Selvia Henni Endah Wahanani Ibnu Elmi AS Pelu Isworo, Muhamad Raihan Ramadhani Juhairiyah Khairil Anwar Kurniawan, Muh. Irsyad Dwi Lesmana, Dimas Bayu Putra Maimun marisdina, selly Marsha Ayunita Irawati Mohamad Rifqy Roosdhani Muhammad Muharrom Al Haromainy Muhammad Noor Muhlisa, Safitri Nainggolan, Putri Drani Nindhita, Yoga Octavinawaty, Lenny Okparasta, Andika Oktaviandi, Ardy Permanasari, Wahyu Melinda Permani, Dyah Pradana, Adi Pramesti, Adella Anggia Prastyo, Kus Dwi Pribadi Santosa Rafiqi, Ilham Dwi Rahmat Fauzi Ramadhoni, Pinto Desti Rini Nindela, Rini Robita, Achmad Rosa, Marta Salsabila, Belia Putri Samsul Arifin Sari, Allan Ruhui Fatmah Sari, Annisa Fitria Sari, Oki hardiyanti Rukmana Sa’dud Darain, A. Silvia Hendrayanti Sitompul, Pelean Alexander Jonas Sopi, Sopi Subekti, Heny Sukarsono Sukarsono Tri Endra Untara, Tri Endra Tsanie, Maria Latifa Tunjung Nugraheni Vierino, Farrel Tiuraka Wahyu Gunawan, Rafif Ilafi Wahyudi Wahyudi Yulita Kristanti Yusril Yusril Zumrotun Nafiah