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Jurnal Ilmu Siber dan Teknologi Digital
Published by Goodwood Publishing
ISSN : -     EISSN : 29867312     DOI : 10.35912/jisted
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Engineering Other
Jurnal Ilmu Siber dan Teknologi Digital (JISTED) is a national, open-access and peer-reviewed journal welcoming high-quality manuscripts of original articles, reports and literature reviews in the field of software engineering and information technology. Jurnal Ilmu Siber dan Teknologi Digital (JISTED) aims to mediate the fresh ideas of researchers and practitioners to accelerate technology and cyber development.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 38 Documents
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WEB-BASED RESEARCH ARTICLE CLASSIFICATION USING THE RANDOM FOREST ALGORITHM Ahludzikri, Fiqqi; Herwanto, Riko; RZ , Abdul Aziz; Agus, Isnandar; Irianto, Suhendro Yusuf
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 1 (2025): November
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i1.5547

Abstract

Purpose: This study aims to develop a web-based system that classifies research articles using the Random Forest algorithm to address mismatches between article content and journal scope. Methodology/approach: The research employed the SDLC Waterfall model, with data sourced from 560 articles published by Goodwood Publishing (2019–2024) across four categories. Text preprocessing included case folding, stopword removal, stemming, and tokenization, with TF-IDF applied for feature extraction. Random Forest was trained with 80% training data and 20% testing data. Results/findings: The model achieved 91% accuracy, with high precision and recall across all categories. The system was successfully implemented as a web-based application, providing instant classification and journal recommendations. Limitations: The dataset was limited to one publisher and only Random Forest was applied, which may restrict the generalizability of findings. Contribution: This study contributes to the application of machine learning in scholarly publishing, offering a practical solution for editors to streamline article selection and improve efficiency.
Android Based Rosella Tea Sales Application as Digital Innovation Rahayu, Lusia Septia Eka Esti; Sari, Marlia; Junaidi, Muhammad
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 1 (2025): November
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i1.5906

Abstract

Purpose: This study aims to develop an Android-based sales application for Rosella Tea as a digital innovation, addressing the need for efficient marketing and sales management among Women Farmers Groups (KWT) in East Ambarawa Village, Lampung. Methodology/approach: The research utilizes the System Development Life Cycle (SDLC) method, with stages including needs analysis, system design using Unified Modeling Language (UML), coding with Java, and data storage via Firebase. Results/findings: The developed application successfully operates on Android devices, presenting products informatively and enabling real-time transactions and sales management. It enhances marketing efficiency and expands the market reach for Rosella Tea, improving transaction processes between sellers and buyers. Conlusion: The Android-based application serves as an innovative solution to promote Rosella Tea digitally, offering better sales management, expanding market access, and increasing business efficiency for women farmers. Limitations: The study did not explore the full range of features needed, such as integration with various payment methods and e-commerce platforms. Contribution: The application provides a digital pathway for Women Farmers Groups to manage and promote local products, contributing to their economic empowerment and aligning with government initiatives to support MSMEs' digitalization.
UML-Based Design of a GIS-Based E-Commerce Application for MSMEs Friadi, John; Suroto, Suroto; Sikumbang, Alexsandri; Haries, Taufan Maulana; Yani, Dodi Putra
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 1 (2025): November
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i1.6185

Abstract

Purpose: This study aims to design a Geographic Information System (GIS)-based e-commerce application for Micro, Small, And Medium Enterprises (MSMEs) using the Unified Modeling Language (UML). The novelty of this study lies in the integration of UML modeling with GIS-based features to support spatial visualization in MSME e-commerce systems, which is limited in prior studies. Methodology/approach: This research adopts a Research and Development (R&D) approach using the waterfall model, which was selected because of its suitability for structured system design with clearly defined requirements. Results/Findings: The results demonstrate that UML modeling, including use case, activity, and class diagrams, successfully represents system functionality, user interactions, and data structures in a systematic and consistent manner. The completeness and consistency of the model were evaluated based on the alignment between system requirements and diagram representation. However, this study is limited to system design without full implementation and empirical testing. Conclusions: This study introduces a GIS-based e-commerce design for MSMEs using UML modelling, a novel approach in integrating spatial features. The UML models effectively represent system functions and data. However, the study is limited by the lack of implementation and testing. Future research should focus on full implementation and empirical validation. Limitations: This study has limitations in that comprehensive system implementation and testing have not been conducted. Contributions: This research contributes conceptually and methodologically by providing a structured UML-based design model for GIS-integrated MSME e-commerce systems that can be used as a reference for future development and implementation.
Intercultural Communication Failures in AI-Generated Translation: An English-Uzbek Perspective M.N Raupova; Ichwan Suyudi
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 1 (2025): November
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i1.6726

Abstract

Purpose: This study aims to investigate intercultural communication failures in AI-generated translations between English and Uzbek, focusing on the preservation of pragmatic meaning, cultural nuances, and communicative intentions.Methodology: The research employs comparative, pragmatic, and discourse analysis methods to examine AI-translated idiomatic expressions, humor, politeness strategies, and culture-specific units. AI systems analyzed include ChatGPT, Google Translate, and DeepL.Results: The study found that AI-powered translation systems often rely on literal and structural translation strategies, which frequently lead to semantic distortion and pragmatic inaccuracies. As a result, intercultural misunderstandings and communication failures occur, especially between linguistically and culturally distant languages.Conclusions: Integrating intercultural competence, cultural mediation, and context-sensitive mechanisms into AI translation models is crucial to enhance pragmatic equivalence and sociocultural adaptation in multilingual communication.Limitations: This study primarily analyzes AI translations in English-Uzbek contexts and relies on qualitative methods; broader empirical testing across other languages and larger datasets is needed.Contributions: The study contributes to modern translation studies by elucidating the relationship between artificial intelligence, intercultural communication, and translation pragmatics, offering insights for the development of culturally aware and context-sensitive AI translation technologies.
Star Trek’s Technological Predictions and Their Impact on Modern Innovation Derah Sudjaniah; Bintoro Ariyanto; Indira Sascha; Arum Yulistiyaningsih; Mia Utami
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 2 (2026): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i2.6676

Abstract

Purpose: This study examines the relationship between futuristic technologies portrayed in the Star Trek series and the development of modern technological innovation, highlighting how science fiction can influence technological advancement. Research Methodology: A descriptive qualitative approach with a literature review method was employed. Data were collected from academic journals, books, technology reports, digital documentation, and technological representations presented in Star Trek. The data were analyzed using content, comparative, and interpretative analysis. Results: The findings reveal significant similarities between Star Trek technologies and contemporary innovations, including smartphones, digital tablets, artificial intelligence, smart assistants, AI-based translation systems, wearable devices, virtual reality, digital healthcare technologies, video communication, and smart automation. Conclusions: The study demonstrates that Star Trek serves not only as entertainment but also as a form of technological foresight that can inspire scientific research, innovation, and digital transformation. Limitations: This research is limited to secondary data and literature-based analysis without empirical evidence from technology developers, users, or audiences. Contributions: This study contributes to the fields of media studies, communication studies, digital transformation, and technology innovation by providing insights into the relationship between science fiction narratives and real technological advancement.
Planning the Transfer of a 20 kV Distribution Feeder from Mariana Substation to Tanjung Api-Api Substation for Makarti Jaya Village Kms. Andi; Andri Riyana; Subianto Subianto
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 1 (2025): November
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i1.6856

Abstract

Purpose: The rapid population growth and increasing electricity demand in Makarti Jaya Village, Banyuasin Regency, have pushed the Tomato Feeder at Mariana Substation close to its capacity limit. This study designs a medium-voltage feeder transfer by redirecting supply from the near-overloaded Tomato Feeder to the idle Ferry Feeder at Tanjung Api-Api Substation. Methodology: A documentary research approach was used based on technical data from PT PLN (Persero), including feeder loading, substation capacity, and network configuration. Engineering calculations were conducted using SPLN 41-8:1981, AVE D210, and PLN design standards to determine pole requirements, conductor sizing, sag, voltage drop, and voltage regulation.Results: The proposed 20 kV network requires 642 reinforced concrete poles with AAAC 70 mm² conductors over 96.915 km. The calculated voltage drop is 685.44 V with a voltage regulation of 3.55 percent, remaining within PLN’s ±5 percent standard. Conclusions: The feeder transfer is technically feasible, reduces system loading, shortens network distance significantly, and maintains acceptable voltage quality.Limitations: This study focuses only on technical engineering design and does not include economic feasibility analysis, protection coordination, environmental impact assessment, or long-term load growth forecasting.Contributions: This study provides a structured engineering framework for medium-voltage feeder transfer planning in rural electrification systems, including systematic procedures for pole calculation, conductor selection, sag estimation, and voltage performance evaluation based on PLN standards.
Data Security in Electronic Health Information Systems: A Mixed-Methods Analysis of Indonesian Hospital Practices Adi Ahmad; Alfina Alfina
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 2 (2026): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i2.6893

Abstract

Purpose: Electronic Health Information Systems (EHIS) are widely adopted in Indonesian hospitals, but this has introduced significant data security challenges. This study assesses EHIS data security implementation, identifies systemic vulnerabilities, and offers evidence-based improvement recommendations.Research Methodology: A mixed-methods design was employed, combining surveys, interviews, and document analysis. Data were triangulated using the Electronic Health Information Systems (EHIS) security frameworks: the CIA Triad (Confidentiality, Integrity, and Availability), ISO/IEC 27001, and the National Institute of Standards and Technology (NIST) Cybersecurity Framework.Results: Four key security gaps were identified: awareness training (70% aware, 45% trained), policy compliance (85% have policies, 60% implement encryption), high incident rates (65%, mainly unauthorised access and malware), and low technology adoption (50% encryption use, 35% multi-factor authentication). Conclusions: Indonesian EHIS security shows policy compliance gaps. Priorities include multi-factor authentication, encryption, staff training, and audits, supported by ISO/IEC 27001 and Minister of Health Regulation (PMK) No. 24/2022.Limitations: The case study sample may not represent all Indonesian hospitals, access to internal security incident data was limited, and quantitative results are descriptive rather than inferential.Contributions: This study analyzes EHIS data security in Indonesia using survey data and international frameworks to provide evidence based recommendations.
Decision Tree C4.5 Algorithm for Classifying Bullying and Sexual Harassment Types in Senior High Schools Rafli Pahlevi; Sulyono Sulyono
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 2 (2026): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i2.6939

Abstract

Purpose: This study aims to implement the Decision Tree C4.5 algorithm to classify bullying and sexual harassment cases in senior high schools and develop a web-based decision support system for consistent, evidence-based identification and intervention.Methodology: A quantitative experimental approach was applied. Data were collected through anonymous student surveys and interviews with Guidance and Counselling (BK) teachers, resulting in 120 cases (93 bullying and 27 sexual harassment). The C4.5 algorithm was implemented using RapidMiner, while the web system was developed using Waterfall System Development Life Cycle (SDLC) with Personal Home Page (PHP) Laravel, MySQL, HTML/CSS, and tested using black box testing.Results: The model produced a total entropy of 2.44989, with “Incident Type” as the root node (Information Gain = 1.811). “Incident Frequency” became the second-level node. The system successfully classified cases and provided recommendations with 100% success in all nine black box tests covering authentication, classification, reporting, and data management modules. Conclusions: The C4.5 algorithm effectively classifies bullying and sexual harassment cases, while the web-based system enhances consistency and reduces subjectivity in school decisionmaking.Limitations: The dataset is limited to 120 cases at the senior high school level, without precision, recall, or F1-score analysis and no longitudinal data.Contributions: This study provides an operational decision support system using C4.5 for structured classification of schoolbased bullying and sexual harassment cases.

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