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Donna Setiawati
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JITU : Journal Informatic Technology And Communication
Published by Universitas Boyolali
ISSN : -     EISSN : 26205157     DOI : 10.36596
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science
JITU : Journal Informatic Technology And Communication adalah terbitan berkala ilmiah yang fokus pada teknologi informasi dan komunikasi yang berbentuk kumpulan/akumulasi pengetahuan baru, pengamatan empirik atau hasil penelitian, dan pengembangan gagasan atau usulan baru. Beberapa sub bidang ilmu yang menjadi fokus ilmu komputer antara lain: Internet of Things (IoT), electronics engineering, software engineering, mobile technology and applications, robotics, database system, information engineering, artificial intelligence, interactive multimedia, computer networking, information system audit, accounting information system, information technology investment, information system development methodology, strategic information system (business intelligence, decision support system, executive information system, enterprise system, knowledge management), e-learning, and e-business (e-health, e-commerce, e-supply chain management, e-customer relationship management, e-marketing, and e-government).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 16 Documents
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Search results for , issue "Vol 10 No 1 (2026)" : 16 Documents clear
Integrasi Metode SAW dalam Sistem Informasi Inventaris untuk Mitigasi Risiko Stockout pada Industri Jasa Hiburan Hermawan, Aris Setia; Setiawati, Donna; Pantjarani, Ari; Wulandari, Fera Tri
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.280

Abstract

Operational management in the entertainment industry, such as Kingstar Family Karaoke, faces complex challenges in determining procurement priorities due to uncertain operational fluctuations. This uncertainty often creates the risk of stockpiling or, conversely, stockouts, which directly impact the quality of customer service. This study aims to optimize the procurement decision-making process by integrating the Simple Additive Weighting (SAW) algorithm into an inventory information system. The research methodology follows the Systems Development Life Cycle (SDLC) framework with a Rapid Application Design (RAD) approach, which includes requirements analysis, system design, and software-based implementation. The SAW algorithm is applied to objectively balance the parameters of ending stock, sales level, and purchase price through a process of normalization and preference weighting. The test results show that the integration of the SAW method is able to provide accurate procurement priority recommendations, thereby assisting management in making more measured managerial decisions and mitigating the risk of operational losses.
Sistem Informasi Kasir Terintegrasi Perangkat Jaringan Mikrotik pada Angkringan Kula Kita Aristi, Nina Mia; Ridha, M.Najamudin; Zulfahri, Aidil Fajar; Ningrum, Eny Novita; Sabella, Billy
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2173

Abstract

Angkringan Kula Kita, located in Tanah Laut, provides free Wi-Fi for its customers. However, in practice, Wi-Fi access is still provided without an integrated management system. Wi-Fi usernames and passwords are shared publicly without maximum time or connected devices limit, so it is often used by customers who are not making transactions, which has an impact on reducing internet connection speeds for other customers who are enjoying the service on site. A Web-Based Cashier Information System Integrated with Mikrotik Network Devices is designed to address these needs, especially in managing sales transactions and customer Wi-Fi network access automatically. This system was built with the aim of simplifying the process of recording transactions, managing network access based on transaction values, and preparing structured sales reports. The system development method uses the waterfall model. The database design is carried out using ERD, while system modeling uses UML. This system was developed with the CodeIgniter 4 Framework using the PHP programming language and MySQL database. There are three types of user access rights, namely Admin, Owner, and Employee.. Testing was carried out using Black Box Testing and User Acceptance Testing with a test result percentage of 99% stating that the system functionality was running well.
Re-Identification Permainan Tradisional Gobak Sodor Dengan Menggunakan Computer Vision: Re-Identification Permainan Tradisional Gobak Sodor Dengan Menggunakan Computer Vision Utomo, Wahyu Cahyo; Saputra, Muh. Aris; Firliana, Rina; Asadulloh, Akhmas; Sari, Livia Indriana
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2184

Abstract

Judging objectivity in the traditional game of Gobak Sodor remains constrained by its reliance on visual observation. This conventional system is prone to subjectivity and human error. This research aims to design and evaluate a player re-identification system. This study is specifically positioned as foundational research. It aims to provide a technical basis for developing future objective judging systems. A state-of-the-art approach combining You Only Look Once version 8 (YOLOv8) for multi-object detection and ResNet50 for feature extraction was applied in this domain. System testing demonstrated perfect performance. The model achieved 100% accuracy for Cumulative Match Characteristic (CMC) Rank-1 and Rank-5. Furthermore, the mean Average Precision (mAP) score reached 1.00. These results confirm that the proposed method combination is highly suitable for the traditional game domain. The system proved capable of performing deep feature extraction for each player. It was not limited to simple attributes like costume color. This research successfully provides a solid technical framework for modernizing judging systems in similar traditional games.
Rancang Bangun Sistem Digital Twin Menara Pendingin Dengan Monitoring Kualitas Air dan Analisis Efisiensi Energi Berbasis PLC-HMI Pratama, Rio; Luki Utomo
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2213

Abstract

The high cost of ICT investment is often an obstacle to ICT implementation, especially for educational institutions with limited budgets. Without analysis, the risk of budget waste and incompatibility with the real needs of the institution becomes higher.This study aims to assess the readiness of information and communication technology (ICT) investment using an integrative approach that combines Cost-Benefit Analysis (CBA), Technology-Organisation-Environment (TOE) Framework, and OODA Loop. This approach is designed to provide a comprehensive evaluation of economic, technological, organisational, and decision-making dynamics in ICT investment. The research method uses aqualitative approach with data collection through observation, interviews, and documentation studies. The analysis is carried out by integrating the results of CBA to assess the feasibility of investment, the TOE Framework to identify factors influencing technology adoption, and the OODA Loop to understand the iterative and adaptive decision-making process. The research findings indicate that based on the CBA analysis, the ICT investment in the form of developing and implementing an e-learning system at SMAN 01 Sanggau is highly feasible to execute. However, from the TOE Framework perspective, the organisation's readiness to adopt the e-learning system is still partial with some shortcomings. From the OODA Loop perspective, the investment is deemed feasibleafter considering: financial calculations showing benefits through metrics such as NPV, ROI, and PP, non-financial benefits such as improved access to learning and educational quality, and proactive risk mitigation against technical, financial, and operational challenges.
Analisis Efektivitas Teknik File Carving pada Pemulihan Data Digital Menggunakan PhotoRec Susanto; Hanafi, Irfan; Aulia, Narisa; Fardani, Muhammad Jauhar; Irfan, Muhammad Nur
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2245

Abstract

Data loss is a critical issue in the digital era, both in everyday computing and in forensic investigations. This study aims to evaluate the effectiveness of PhotoRec, an open-source file carving tool, in recovering lost files from a FAT32 storage medium. A strict digital forensic approach was applied by performing disk imaging, preserving evidence integrity, and documenting each stage in detail. Data loss was simulated through logical deletion and by scanning unallocated sectors to closely replicate real-case conditions. PhotoRec was then utilized to select the target media, identify partitions, determine the file system type, and scan free space to extract files based on signature recognition. The findings show that PhotoRec successfully recovered a total of 50 files, including all primary files deleted during the experiment. In addition, several system-related files such as ELF were also recovered, illustrating the aggressive nature of carving techniques that extract any recognizable data structure. These results confirm that PhotoRec can operate effectively in data loss scenarios on FAT32 media, even when file metadata is no longer available. This study contributes to a deeper understanding of PhotoRec’s performance within the context of digital forensics and highlights its relevance as an investigative tool that prioritizes accuracy, integrity, and procedural traceability.
Analisis Kuantitatif Eksploitasi Akun Google Pasca Phishing Berbasis Konsistensi Jaringan Haq, Muhammad Syahrul; Yulianton, Heribertus
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2246

Abstract

Phishing attacks experienced a significant increase during the COVID-19 pandemic, with over 160,000 phishing domains identified quarterly in 2020. This research analyzes login success using phishing-derived data through residential proxies to identify critical factors affecting attack effectiveness against Google authentication systems. Quantitative methodology with controlled experiments utilized 150 Gmail accounts created specifically for this research, with a maximum of 15 login attempts per account. Results demonstrate a 90.7% success rate (136 of 150 cases), with three dominant factors: IP address accuracy (100% match = 97.8% success rate), tier-1 Malaysia ISP/ASN matching (AS4818 DiGi 92.3%, AS9534 Maxis 91.9%, AS4788 TM 90.3%), and geographic location consistency (Kuala Lumpur 59.3% with 91% success rate). Critical findings reveal systemic vulnerabilities in Google's 7-day old password validity policy, creating a window of vulnerability where 22.1% of attacks succeeded on days 3-6 post-password change. This research contributes to cybersecurity literature by providing a quantitative framework for measuring residential proxy effectiveness in post-phishing exploitation and recommending mandatory 2FA implementation and reduction of old password validity period to maximum 48 hours.
Penerapan Blockchain untuk Transparansi RKAT dan KAK di SIPIM UNISR Kholil, Moenawar; Sutikno, Arif; Fathona, Rina Robiulana
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2250

Abstract

Budget management in higher education requires transparency, accountability, and reliable audit mechanisms to prevent undocumented changes and ensure traceability of financial decisions. This study proposes and implements a permissioned blockchain event ledger integrated with the Leadership Information System (SIPIM) at Universitas Slamet Riyadi Surakarta to enhance the integrity of RKAT and KAK processes. The research adopts a design science research approach by designing a sidecar architecture that preserves the existing relational database while adding an append-only cryptographic audit layer. Document integrity is ensured through SHA-256 hashing and hash-chaining mechanisms, while chain validity is evaluated using quantitative integrity metrics. Experimental testing was conducted under transaction loads of 100, 300, and 500 blocks, including controlled manipulation scenarios. Results show that the system maintains 100% chain validity under normal conditions and successfully detects inconsistencies after unauthorized modifications. Performance evaluation indicates that block formation time remains below 7 milliseconds, demonstrating minimal computational overhead. The findings confirm that integrating a permissioned blockchain as an audit layer can strengthen transparency and tamper-evident control without disrupting operational systems in higher education institutions.
Penerapan RAG pada Chatbot Edukasi dan Deteksi Dini Penyakit THT Khairina Eka Setyaputri; David fitrianto; Wicaksono Yuli Sulistyo
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2251

Abstract

Limited access to fast and accurate medical information is often a major constraint in the early detection of Ear, Nose, and Throat (ENT) diseases. This study proposes the development of an intelligent chatbot using the Retrieval-Augmented Generation (RAG) architecture to minimize hallucinations in Large Language Models (LLMs). The system is built using the n8n low-code automation platform, integrated with the WhatsApp API as the user interface and the gpt-4o-mini model as the inference engine. The system's knowledge base is sourced from external databases, including clinical references and visit data, processed through a vector store to ensure that responses remain within the context of valid data. Testing results indicate that the implementation of RAG increases information accuracy compared to the standard model. Furthermore, the use of n8n has proven to provide operational cost efficiency and accelerate the deployment cycle. The system successfully achieved an average latency of under 5 seconds with a Success Rate of 95%. This study concludes that the integration of RAG on a no-code platform is an effective solution for providing precise and economical health informatics services.
Analisis Sentimen Komentar Film Merah Putih One For All Metode Naïve Bayes Syahputra, Bintang; Hartono, Budi
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2253

Abstract

Social media Twitter (X) has become a platform for expressing public opinion, including reactions to the animated film "Merah Putih: One For All." The film has garnered various criticisms regarding its graphic quality and the use of digital assets deemed unoriginal. Sentiment analysis of this public response is essential to provide an objective evaluation of society's reception of local animated works, identify specific aspects of audience concern, and offer valuable insights for the Indonesian animation industry to improve production quality. Automated sentiment classification using machine learning is an efficient solution for understanding patterns of public perception with large volumes of data, which is difficult to accomplish manually. This study classifies comments on the X platform into positive and negative sentiment categories using the Naïve Bayes method. Data collection was conducted by scraping posts from the account @tanyakanrl in August 2025, totaling 302 comments. The data underwent preprocessing stages, including cleaning, case folding, normalization, tokenizing, stopword removal, and stemming. Feature extraction utilized the TF-IDF (Term Frequency-Inverse Document Frequency) method to convert text data into numerical representation. Classification employed the Naïve Bayes algorithm with an 80:20 data split ratio for training and testing. Evaluation results indicate that the model achieved an Accuracy of 82%, Precision of 79%, Recall of 82%, and an F1-Score of 80%.
Perancangan Electronic Nose (E-Nose) untuk Analisis dan Klasifikasi Aroma Daging Menggunakan PCA dan LDA Rizki Setyawan, Muhammad; Fadlil, Abdul; Yudhana , Anton
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2254

Abstract

Meat is a vital food commodity prone to adulteration through species mixing or chemical contamination such as formalin and borax. This study aimed to design and test an Electronic Nose (E-Nose) system for aroma pattern analysis and meat classification using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Samples included pure meat (beef, chicken, pork), mixed meat, and chemically contaminated meat. Aroma data were captured using an array of gas sensors sensitive to Volatile Organic Compounds (VOCs) and standardized prior to analysis. PCA reduced eight sensor features into three principal components explaining a total variance of 79.63%. PC1, PC2, and PC3 accounted for 46.10%, 20.58%, and 12.96% of variance, respectively, showing clustering patterns among samples with minor overlap. LDA provided clearer class separation with three discriminant components LD1, LD2, and LD3 explaining 77.13%, 16.63%, and 4.59% of between-class variance, totaling 98.34%. LD1 separated pure, mixed, and contaminated meat, LD2 distinguished variations due to contaminant type and species, and LD3 refined separation of similar classes. Classification evaluation achieved an overall accuracy of 82%. Most classes were well classified, while classes 1 and 10 experienced misclassification due to similar aroma patterns. The findings confirm that E-Nose combined with PCA and LDA is a rapid, non-destructive, and efficient method for detecting meat authenticity and adulteration, showing strong potential for food quality monitoring in the field

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