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Jurnal Teknologi Informatika dan Komputer
Published by Universitas Mohammad Husni Thamrin
ISSN : 26569957     EISSN : 26228475     DOI : 10.37012/jtik
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Teknologi Informatika dan Komputer merupakan salah satu jurnal berbasis Open Journal System (OJS) yang dikelola oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Mohammad Husni Thamrin (UMHT) yang berisi artikel-artikel dengan topik Teknologi Informasi yang menampung karya ilmiah para dosen Perguruan Tinggi di Indonesia. Diharapkan jurnal ini mampu memberikan motivasi dan kontribusi ilmiah bagi perkembangan ilmu pengetahuan dan teknologi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 827 Documents
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Analisis Sentimen pada Aplikasi PeduliLindungi dengan Menggunakan Metode Improved K-Nearest Neighbor dan Lexicon Based Nelsih Putriani; Fajri Rakhmat Umbara; Puspita Nurul Sabrina
Jurnal Teknologi Informatika dan Komputer Vol. 8 No. 1 (2022): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v8i1.1107

Abstract

Opini atau sentiment masyarakat merupakan salah satu indikator penilaian yang ditujukan untuk menilai suatu hal seperti produk atau jasa. Sentiment tentang aplikasi PeduliLindungi yang banyak digunakan pada masa pandemik ini, perlu dianalisis untuk mengetahui bagaimana opini pengguna aplikasi. Melalui media twitter, sentiment-sentiment masyarakat mengenai aplikasi PeduliLindungi dapat digali, kemudian dideteksi apakah sentiment tersebut termasuk ke dalam sentiment positif, sentiment negative, atau sentiment netral. Salah satu teknik yang digunakan untuk menggali informasi mendeteksi opini masyarakat adalah dengan menggunakan analisis sentiment. Penelitian ini terdiri dari beberapa proses untuk melakukan analisis sentiment, yaitu mengumpulkan data, melakukan tahapan pre-processing, pembobotan kata (ekstraksi fitur), dan proses klasifikasi sentiment ke dalam tiga kelas sentiment. Ketiga kelas tersebut yaitu sentiment positif, negative, dan netral. Dengan menggunakan metode Improved K-Nearest Neighbor, penelitian ini memperoleh hasil pengujian analisis sentiment pada tweet berbahasa Indonesia dengan akurasi tertinggi pada k-values 20 sebesar 85%.
Proposed Framework for Automating Network Infrastructure Hardening Audits Based on CIS Benchmarks and Vendor Security Standards Faizal Alfiana Sakti; Ferhat Aziz; Tukiyat
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3560

Abstract

The complexity of multi-vendor network infrastructure demands configuration hardening audits that are consistent, measurable, and repeatable. Differences in operating systems, command syntax, output formats, and security references across Cisco, MikroTik, and Ruijie devices make auditing difficult using a single uniform approach. This study designs, implements, and evaluates an automated network infrastructure hardening audit framework based on CIS Benchmarks and vendor-specific security standards. Using an applied experimental approach, an audit-only workflow was developed comprising Collector, Evaluator, and Report modules. The Collector retrieves actual device configurations via SSH and stores them as raw JSON; the Evaluator compares device outputs against vendor-specific YAML baselines; and the Report module generates audit artifacts in HTML, PDF, CSV, chart, and audit-log formats. Evaluation was conducted on 50 production devices (25 Cisco, 10 MikroTik, and 15 Ruijie), using a 68-rule baseline that produced 1,135 evaluated controls. Results showed 626 Pass controls (55.15%) and 509 Fail controls (44.85%). A complete audit session finished in 206 seconds, with all devices successfully processed. CIA Impact mapping revealed Integrity as the dominant aspect associated with non-compliant controls. Findings indicate the framework offers a structured, adaptive, and well-documented audit-only approach for evaluating multi-vendor configuration hardening compliance without modifying production configurations.
Intelligent DevSecOps Automation Framework Based on AI-Driven Security Analytics for Agent-Based Jenkins Pipelines Risko; Agung Budi Susanto; Arya Adhyaksa Waskita
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3615

Abstract

The adoption of Continuous Integration/Continuous Delivery (CI/CD) has accelerated the implementation of DevSecOps as an approach for integrating security throughout the software development lifecycle. Although various automated security tools are widely available, their outputs remain fragmented, require extensive manual analysis, and provide limited support for security-driven decision-making within CI/CD pipelines. This gap creates the objective of this study, which is to design and evaluate an Intelligent DevSecOps Automation Framework that combines AI-Driven Security Analytics with an Agent-Based Jenkins Pipeline to integrate multiple security tools, normalize heterogeneous findings, enforce a unified security quality gate, and generate contextual security advisories through Large Language Models (LLMs). The study employed an applied research method with a prototype development and experimental approach. The proposed framework integrates Ruff, Semgrep, SonarQube, and Trivy, and is supported by a finding normalization and consolidation mechanism, risk-based prioritization, security quality gate evaluation, and AI-driven advisory generation orchestrated through LangChain. The framework was evaluated using a deliberately vulnerable payment-service repository to examine its capability in detecting vulnerabilities, consolidating cross-tool findings, classifying risk, and producing mitigation recommendations together with a release decision. The results show that the framework successfully unified four security tools within a single pipeline, producing 160 raw findings that were normalized and consolidated into 37 unique findings, of which 27 were categorized as Critical or Major. Fifteen of the highest-priority findings were forwarded to the AI-Driven Security Analytics component, yielding an Overall Risk and Exploitation Risk of Critical, 14 items classified as release blockers, and an overall release recommendation of Hold. These findings indicate that the proposed framework effectively supports early vulnerability detection, cross-tool consolidation, risk-based prioritization, security quality gate enforcement, and AI-assisted security advisory generation to strengthen security decision-making in modern DevSecOps pipelines.
Application of the Agile Scrum Method in the Development of a Web-Based Employee Attendance Information System Afriza Meigi Zukhruf; Syakur; Gina Khayatun Nufus; Novita Rahmayuna; Muhammad Rivani Ibrahim
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3678

Abstract

Systematically recorded employee attendance is an important foundation in human resource governance across various types of organizations. Unfortunately, many institutions still rely on conventional attendance recording, which is prone to data errors, lack of transparency, and slow reporting processes. This research aims to design a web-based information system to manage employee attendance by adapting the Agile Scrum framework in its development process, so that the system can grow adaptively according to user needs. The case study was conducted at Klinik xyz, with requirements data gathered through interviews, direct observation, and a review of related literature. The features built include user authentication, employee data management, clock-in and clock-out recording, attendance recapitulation, and statistical reporting. Development was carried out through four sprint cycles covering the stages of user story, product backlog, sprint planning, sprint backlog, and daily scrum. Functional validation used blackbox testing, while user acceptance was measured through a usability questionnaire. The research findings confirm that the Agile Scrum framework successfully produced a fully functioning attendance system with a 100% test success rate and a usability score of 0.86, proving that the system can significantly improve the efficiency of employee attendance management.
Inventory Information System Using the DBSCAN Clustering Method for Stock Optimization at Mami Fashion Store Winda Junarda; Triase
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3730

Abstract

Advances in information technology are encouraging retail businesses to manage inventory more effectively and efficiently. Mami Fashion, a clothing retailer, faces challenges in inventory management, such as the accumulation of less-demanded items and the out-of-stock of high-selling products. This study aims to design and build an inventory information system using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) method to optimize inventory management. The DBSCAN method is used to group sales data based on density and purchasing patterns, thus identifying fast-selling, medium-selling, and slow-selling products, as well as detecting data anomalies. The system was developed web-based to facilitate the process of recording, monitoring, and analyzing inventory in real time. The results show that implementing the DBSCAN method in the inventory system can improve the accuracy of product grouping, assist in procurement decision-making, and reduce the risk of overstock and stockouts. Thus, the system can support operational efficiency and increase the profitability of Mami Fashion.
Development of a Web-Based Extracurricular Selection Information System at SMKN 1 Talamau Randa; Ami Anggraini Samudera; Rahayu Trisetyowati Untari
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3809

Abstract

The development of information technology in education encourages schools to optimize activity management systems more effectively and efficiently. One important activity in schools is extracurricular activities, which serve as a forum for developing students' interests, talents, and character. However, the selection and registration process for extracurricular activities at SMKN 1 Talamau is still carried out manually using paper forms, which presents various challenges such as the risk of data loss, slow recording processes, and difficulties in data management and recapitulation. Therefore, a solution is needed in the form of a digital system that can improve the effectiveness of extracurricular activity management at the school. This research aims to develop a web-based extracurricular selection information system at SMKN 1 Talamau. The research method used is Research and Development (R&D) with the System Development Life Cycle (SDLC) development model. The development stages included requirements analysis, system design using the Unified Modeling Language (UML), implementation using the PHP, HTML, CSS, and JavaScript programming languages, and system testing through alpha and beta testing. The results showed that the web-based extracurricular selection information system was declared successful in the alpha testing. Furthermore, the beta testing, conducted by expert validation, yielded excellent results with an average score of 89.81%, and the user beta testing yielded an average score of 93.83%, a very good rating. Therefore, the implementation of this system is expected to improve the effectiveness of extracurricular management and support digital transformation in school education management.
Coordination System for Inter-Mosque Zakat Distribution Based on Web Geographic Information System (GIS) Rizky Muhammad Rofif; Nixon Erzed
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3877

Abstract

The distribution of zakat fitrah among mosques located in neighboring areas is still unequal, since some mosques hold a surplus while others nearby experience a shortage. Coordination is carried out manually through informal communication, so the zakat condition of each mosque is difficult to observe and redistribution does not reach its optimal potential. This study aims to develop a Coordination System for Inter-Mosque Zakat Distribution based on a Web Geographic Information System (GIS) that visualizes mosque locations together with their zakat status spatially and interactively. The system was developed using the Unified Process (UP) method, covering communication, planning, modeling, construction and deployment, and was built with native PHP, a MySQL database, and the Leaflet.js library with OpenStreetMap base maps. The Haversine formula was implemented to measure the great-circle distance between mosque coordinates, so that the nearest surplus mosque is determined by the actual distance in the field rather than by administrative boundaries. Data were collected through observation, interviews with mosque administrators, and literature study. Functional testing applied the Black Box method to 33 scenarios covering registration, authentication, multi-level mosque verification by the administrator, and the inter-mosque distribution workflow. The results show that all 33 scenarios were valid, that the system presents spatial information accurately, and that every distribution is documented through a handover photograph, two digital signatures, and an automatically generated handover report. The system is therefore feasible to support an equitable, transparent and traceable distribution of zakat fitrah.
Development of a Mobile-Based Technician Job Monitoring and Reporting Application Khisam Fadholi; Cahya Bagus Sanjaya
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3906

Abstract

The process of monitoring and reporting technician work that is still carried out manually causes obstacles in assignment, progress monitoring, documentation, and report preparation. Job information through communication media becomes less structured and difficult to trace, while manual report preparation takes time and risks causing errors. This research aims to develop a mobile-based technician job monitoring and reporting application to support digital, structured, and documented work management. Application development uses the Agile Development method through the stages of planning, design, development, testing, evaluation, and user feedback. The application is developed using Flutter as an application framework, Laravel as a REST API, and SQLite as a database. The features implemented include login based on access rights, user management, task creation, job monitoring, progress updates, documentation, report creation, and digital BAHP. Testing was carried out using Black Box Testing and System Usability Scale (SUS). The test results showed that all key features were running as needed after evaluation and improvement. SUS testing of 20 respondents obtained an average score of 81.25 in the categories of Acceptable, Grade A, and Excellent. The results showed that the application was easy to use and feasible to implement. Further development is recommended to improve integration, security, and reporting features.
Sentiment Analysis and Identification of Trust and Perceived Risk Aspects in User Reviews of the Dana Application Using Text Mining Methods and Support Vector Machine Wardatul Jannah; Ulfah Kusnia; Arif Faizin
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3907

Abstract

This research is motivated by the importance of understanding the trust and risk felt by users in using the DANA application based on user reviews. This research aims to analyze sentiment and identify the aspects of Trust and Perceived Risk in DANA application reviews using the Text Mining method and the Support Vector Machine (SVM) algorithm. The research data consists of 300 user reviews obtained from Kaggle. The research stages include pre-processing, sentiment labeling, label validation, word weighting using TF-IDF, and SVM classification. After eliminating neutral data, 280 data consisting of positive and negative sentiments were obtained, with 224 training data and 56 test data. The test results showed that SVM obtained accuracy, precision, recall, and F1-Score of 98% each. Identification of aspects using keyword dictionaries that have been validated by experts shows that Assurance is the most commonly found aspect of Trust, while Transaction Risk is the most dominant aspect of Perceived Risk. The results of the study recommend that developers maintain the Assurance aspect and improve the security and reliability of transactions to reduce the risks felt by users.
Implementation of a Decision Support System for Selection of Mechanical and Electrical Materials Using a Web-Based Smart Method Jul Padri; Susanna Dwi Yulianti Kusuma
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3923

Abstract

This research was motivated by the material selection process for mechanical and electrical materials at PT. Tirta Gitacana Sakti, which was not yet supported by an integrated web-based system for managing material data and storing assessment history. This condition caused the decision-making process to require a relatively long time and potentially resulted in inconsistencies in the assessment process. In addition, the material assessment process had not yet used a structured decision-making method, causing the results to remain subjective and less measurable. This research aims to design and develop a web-based Decision Support System (DSS) that can manage material data, store assessment history, and improve efficiency and consistency in the selection of mechanical and electrical materials. This research also aims to implement the SMART (Simple Multi-Attribute Rating Technique) method to produce a more objective, structured, and measurable assessment process and provide recommendations for the best materials. The system was developed using the Waterfall method, while system testing was conducted using Black Box Testing and White Box Testing with the Basis Path Testing technique. The SMART method was implemented through criteria weight normalization, utility value calculation based on Benefit and Cost criteria, and final value calculation to generate material rankings. The results show that the developed system successfully integrates the management of material, supplier, criteria, assessment, assessment period, assessment history, approval, reporting, and audit log data. The implementation of the SMART method successfully produces final values and material rankings as a basis for providing recommendations.

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