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bit-Tech
Published by Komunitas Dosen Indonesia
ISSN : 2622271X     EISSN : 26222728     DOI : https://doi.org/10.32877/bt
Core Subject : Science,
Computer Science & IT
The bit-Tech journal was developed with the aim of accommodating the scientific work of Lecturers and Students, both the results of scientific papers and research in the form of literature study results. It is hoped that this journal will increase the knowledge and exchange of scientific information, especially scientific papers and research that will be useful as a reference for the progress of the State together.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 370 Documents
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Design and Development of Web-Mobile Application for Housing Project Management Using KNN for Prediction Arifa, Salsabila; Akbar, Fawwaz Ali; Putra, Chrystia Aji
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2546

Abstract

Project management in housing development is essential to ensure timely completion, budget efficiency, and market alignment. However, many small to medium sized property developers still use manual systems, causing inefficiencies in monitoring, documentation, and sales planning. PT Bakti Luhur Abadi is one such company that still relies on Microsoft Excel for recording project progress and housing unit sales. This study aims to develop an integrated project management system equipped with a sales prediction feature using the K-Nearest Neighbors (KNN) algorithm. The goal is to improve operational efficiency, streamline decision making, and support strategic sales forecasting. The system was developed using the Waterfall method, comprising requirement analysis, system design, implementation, and testing. A key novelty of this research is the dual platform implementation web for administrators and mobile for directors and field teams enabling real time access, structured documentation, and effective communication. The KNN algorithm was tested with 30 test data and 114 training data using K values of 3, 5, and 7. The best result was achieved at K = 7 with an accuracy of 86.7%. Functional validation using black-box testing confirmed all web and mobile features operated as expected. In conclusion, the proposed application effectively automates project management and enables accurate sales prediction. It provides practical benefits for small and medium-scale property developers by increasing efficiency, improving internal coordination, and supporting data driven planning through an accessible and intelligent solution.
Educational Game Design to Raise Awareness of Social Anxiety and Cognitive Behavioral Therapy Az-Zahro', Syaikhhanun Nabila; Atmaja, Pratama Wirya; Puspaningrum, Eva Yulia
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2547

Abstract

Social Anxiety Disorder (SAD) is a common yet often misunderstood mental health condition that significantly impacts the lives of adolescents and university students. Despite its prevalence, awareness and understanding of SAD and its evidence based treatment, Cognitive Behavioral Therapy (CBT), remain limited among young adults. This study aims to design and develop Social Survival, a 2D educational game intended to raise awareness of SAD and introduce CBT techniques through an interactive and engaging medium. The game is developed using the Unity engine and employs the Interactive Digital Narrative (IDN) framework to deliver a singleplayer narrative experience. It presents scenarios simulating SAD symptoms and embeds CBT strategi such as relaxation, cognitive restructuring, and exposure into gameplay via minigames. The development process included a needs analysis, general and detailed design phases, and implementation of mechanics aligned with CBT principles. To evaluate learning effectiveness, a pre-test and post-test were administered and analyzed using the N-Gain formula. Player satisfaction was assessed using the Game User Experience Satisfaction Scale (GUESS-18), which measures dimensions such as enjoyment, engagement, and educational value. The results indicate a positive improvement in player understanding of SAD and CBT, along with favorable user experience ratings. The study concludes that serious games can serve as effective tools for mental health education, although clinical treatment should still be guided by professionals.
Pengembangan Platform Berbasis Web untuk Edukasi Gizi dan Deteksi Dini Stunting Aldhyno Yoghatama; Endang Wahyu Pamungkas
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2559

Abstract

Stunting remains a major public health issue in Indonesia with a prevalence of 21.5%, negatively affecting children’s growth and development. Limited access to interactive and integrated nutrition education poses a barrier to early stunting prevention efforts. This study aims to develop an interactive web-based platform called GiziMu Mijen that integrates evidence-based nutrition education, a nutritional status calculator for children aged 0–60 months based on WHO standards, and an online nutrition consultation service via WhatsApp to support family-level stunting prevention. The system was developed using the Agile Software Development methodology and the Laravel 11 PHP framework, with system design modeled through Unified Modeling Language (UML) for use case, activity, and data structure visualization. Testing was conducted using black-box and acceptance testing involving nutritionists to validate the nutritional calculator and consultation features. Results indicate that the platform successfully provides nutrition education content, complementary feeding recommendations, automated nutritional status calculations, and functional interactive consultation services. The system facilitates parents’ independent monitoring of their children’s nutritional status and quick access to professional advice. In conclusion, GiziMu Mijen offers a comprehensive and effective digital solution to improve nutrition literacy and early stunting detection at the family level. The Agile and Laravel-based development approach ensures flexibility and usability, positioning the platform as a strategic tool in national stunting reduction programs, with recommendations for broader testing and integration into national health information systems for data validation.
Website Security Testing Using PTES Method and OWASP Top 10 Approach Firnanda, Mochammad Yoga; Henni Endah Wahanani; Achmad Junaidi
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2564

Abstract

Rapid technological advancements have greatly benefited the industrial sector, making technology essential for business operations. However, this reliance also introduces vulnerabilities, particularly in Enterprise Resource Planning (ERP) systems, which are critical for managing business processes and sensitive data. Due to their complexity and integration, ERP systems are prime targets for cyberattacks, emphasizing the need for robust security testing. This research aims to identify, evaluate, and exploit vulnerabilities in the ERP website of PT. XYZ, specifically targeting pages accessible by users with the SPV Marketing role. The Penetration Testing Execution Standard (PTES) methodology was used to guide the process from intelligence gathering to exploitation and reporting. PTES also ensures that testing is conducted legally during the pre-engagement phase. Tools such as Google Dorking, Netcraft, Wappalyzer, and Nmap were employed for intelligence gathering. For threat modeling, ISO 27005 was employed to identify vulnerabilities, while ISO 25010 served as a standard for security quality. A ZAP scan revealed 23 security vulnerabilities, including 18 that fall under the OWASP Top 10, such as Broken Access Control and Injection. Simulated attacks successfully identified Cross-Site Scripting (XSS), Session Hijacking, and Cross-Site Request Forgery (CSRF). Based on the findings, the recommendations focus on enhancing ERP system security according to the OWASP Top 10 guidelines, ensuring clarity for the development team. This study highlights the need for improved ERP security and offers a structured PTES-OWASP framework applicable across sectors. Future research may integrate multiple tools to enhance vulnerability detection.
Optimasi Hiperparameter LSTM Menggunakan PSO untuk Peramalan Bawang Merah dan Bawang Putih Tanjung, Mutiq Anisa; Sari, Anggraini Puspita; Junaidi, Achmad
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2569

Abstract

This research develops a shallot and garlic price prediction model using a Long Short-Term Memory (LSTM) network optimized through the Particle Swarm Optimization (PSO) method. Indonesia experiences an annual increase in demand for these two commodities. This research focuses on optimizing LSTM parameters, such as the number of units in each layer, learning rate, batch size, time step, and number of training epochs using PSO. Various trials were conducted with different PSO parameter settings and data partitioning scenarios to find the best configuration in predicting prices. The results show that the LSTM model optimized with PSO produces an RMSE value of 436,969 for shallots and 173,866 for garlic. In addition to RMSE, the Mean Absolute Percentage Error (MAPE) and R² metrics also show high prediction accuracy. The 90:10 data partitioning scenario showed the best evaluation results, indicating that more data improves the accuracy of the LSTM in learning price patterns. Scatter plots comparing predicted prices with actual prices show a good match, although there is some variation in certain price ranges. This study also highlights the effect of data partitioning on model performance. The LSTM-PSO approach proved effective in improving the accuracy of price predictions and has practical implications for farmers and policy makers in decision making. The model has the potential to be a decision support tool in the agribusiness sector, with the possibility of further development with external factors.
Optimizing Public Information Dispute Resolution Through Digital Business Process Reengineering Strategies Satria, Muhammad Rafid Mursyaday Putra; Nuryasin, Ilyas
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2572

Abstract

This study applies Business Process Reengineering (BPR) combined with digital document management to improve the efficiency of public information dispute resolution at the Ministry of Religious Affairs in Batu City, Indonesia. It identifies key inefficiencies in manual workflows, such as document sorting, verification, and archiving, which slow service delivery and reduce accuracy. By redesigning processes to eliminate non-value-adding steps and integrating automation via a web-based dashboard for real-time monitoring, the study achieves significant operational improvements. Using ASME-standard process mapping and throughput efficiency testing—a rigorous quantitative approach rarely employed in public sector BPR evaluations—the research measures process performance objectively. Results show throughput efficiency increased from 37.32% to 69.43%, with substantial reductions in processing time, enhanced document accessibility, and strengthened information security. Automated workflows reduce human error and improve traceability in dispute handling. The novelty of this study lies in its methodological integration of engineering standards with public administration reform and its practical application of digital BPR in a complex, bureaucratic Indonesian government context. This provides robust empirical evidence on how digital transformation synergized with BPR can enhance transparency, responsiveness, and service quality in public dispute management. The findings offer valuable insights for governmental institutions aiming to modernize administrative procedures, improve accountability, and align operational performance with citizen expectations in the digital era.
Bahasa Inggris Bahasa Inggris Handoko, Maulana Bhakti; Fauzi, Zidan Wahyu; Agung, Halim; Sofia, Detin
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2577

Abstract

Selecting a major in Senior High School significantly shapes students’ academic paths and future careers. However, the current process often lacks objectivity, relying on subjective teacher consultations and academic data without standardized analysis. This study addresses this gap by developing a decision support system using the Decision Tree algorithm to assist students at Al-Istiqomah High School in choosing between science and social science majors, based on academic performance and non-academic factors like attitudes and attendance. The study follows the CRISP-DM methodology, which includes six stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Academic records from 123 students were used to build the model. The Decision Tree algorithm identified mathematics, biology, and physics scores as key predictors for major classification. The model demonstrated high predictive performance, with 96% accuracy, 100% precision, and 95% recall. Additionally, an Area Under the Curve (AUC) of 97% confirmed the model’s robust ability to distinguish between science and social science tracks. This system was implemented as a user-friendly web application using Streamlit, enabling students and educators to input data and receive immediate major predictions. By offering objective, data-driven recommendations, the system helps students make more informed decisions about their academic futures and provides educators with targeted, evidence-based advice. These results highlight the Decision Tree algorithm as an effective, efficient, and practical tool for enhancing the academic advising process and supporting students in selecting the major that best fits their strengths and interests.
Convolutional Neural Network Approach for Aspect-Based Sentiment Analysis of Tourism Reviews Eka Putri, Siti Oktavia; Amalia Anjani Arifiyanti; Abdul Rezha Efrat Najaf
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2582

Abstract

The tourism industry is a key economic sector in Indonesia, with East Java ranking highest in tourist visits. This study aims to enhance tourism development by applying aspect-based sentiment analysis (ABSA) using convolutional neural networks (CNN) to analyze online reviews. CNN was selected for this study due to its proven efficiency in capturing local n-gram features and its relatively lower computational cost compared to other deep learning model. Reviews from TripAdvisor and Google Maps were collected focusing on four aspects: attraction, amenities, access, and price. Five different models were developed in this research: one multilabel aspect classifier designed to identify multiple aspects mentioned within each review, and four sentiment classifiers focused on evaluating the sentiment polarity for each specific aspect. These models were trained and evaluated using various combinations of word embeddings, including static embeddings like Word2Vec, and contextualized embeddings such as BERT and IndoBERT. Additionally, the impact of preprocessing through stemming was investigated to understand how simplifying word forms affects model performance. Results indicate that IndoBERT-CNN attains the best overall sentiment classification, reaching F1-scores up to 0.71 for attraction and 0.93 for amenities, while Word2Vec-CNN with stemming leads multilabel classification. Meanwhile stemming improves performance for static embeddings like Word2Vec by simplifying word forms, it reduces effectiveness in transformer-based models like BERT and IndoBERT that rely on natural language context. These findings highlight the benefit of choosing appropriate embeddings and preprocessing for different tasks, thus providing practical insights for improving tourism services through better tourist reviews analysis.
Enhancing Access Control Security Using ISO 27001:2013 and OCTAVE Method Ferdinandsyah , Real; Novita, Agnes; Atmodjo, Dwi; Nugroho4, Fandan Dwi
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2590

Abstract

The development of Information Technology (IT) has brought various conveniences in organizational operations, but also introduced significant security risks. One of the most critical areas of concern is access control, where weaknesses can lead to unauthorized access and data breaches. While absolute security is difficult to achieve, structured governance frameworks are essential to minimize vulnerabilities. ISO/IEC 27001:2013 is an international standard that provides guidelines for managing information security risks, while the OCTAVE (Operationally Critical Threat, Asset, and Vulnerability Evaluation) method supports in-depth, organization-specific risk assessments. This study aims to enhance access control governance at PT. XYZ, an IT-based company, by integrating ISO 27001:2013 controls with the OCTAVE methodology. Risk evaluation is performed through the CIA (Confidentiality, Integrity, Availability) triad, based on internal knowledge collected via interviews with operational teams. The OCTAVE method identifies key assets, assesses threat probabilities, and evaluates business impacts, which are then mapped to appropriate ISO 27001 Annex 9 controls. The implementation resulted in several critical access control mechanisms, including User Access Management, Network and Service Access Restrictions, Privileged Access Management, and Password Security Policies. This combined framework enables PT. XYZ to address specific risk exposures more effectively and to ensure compliance with international standards. The integration of ISO 27001:2013 and OCTAVE provides a practical, risk-based model for access control governance that is adaptable to organizational context and resource constraints. The study offers a replicable reference for similar IT organizations seeking to strengthen their information security posture.
Evaluation of IT Resource Management Capability Using COBIT 5 on Subdomain EDM04 and APO07 Renatasari, Carissa; Anita Wulansari; Eristya Maya Safitri
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2595

Abstract

The Population and Civil Registration Office of Sidoarjo Regency is a government agency that implements performance-based management, focusing its activities on service excellence and utilizing information technology in its services such as the Population Administration Information System (SIAK) and "Plavon". However, there are problems that hinder progress include low public awareness in updating population data, insufficient staff based on Permenpan standards, and the focus on technology-based service innovations. To address these, employees are key in community education and supporting priority programs. This research aims to evaluate the level of IT resource management capability at Disdukcapil Sidoarjo using the COBIT 5 framework, focusing on EDM04 (Ensure Resource Optimisation) and APO07 (Manage Human Resources). The methods used based on the COBIT 5 Assessment Process. Both EDM04 and APO07 processes achieved Level 1 Performed Process with "Largely Achieved" status. EDM04 scored 72% overall (69% Base Practices, 75% Work Products), while APO07 scored 64.4% overall (53.7% Base Practices, 75% Work Products). The final results of both scores fall into the "Largely Achieved" category. There is a capability gap between the current condition (as is) and target expectations (to be) of four levels in the EDM04 process and one level in the APO07 process, so improvement recommendations are provided to achieve the expected level. This research provides an overview of current conditions and improvement recommendations to enhance the effectiveness of IT resource management at Disdukcapil Sidoarjo.

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