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The Influence of IoT Data Governance Quality and Data Privacy Policies on Information Security Risk Mitigation and Customer Trust in IoT-Based Startups in Bandung ZM, Ajub Ajulian; Sinuraya, Enda Wista; Winardi, Bambang; Yuanis, Yuanis
West Science Interdisciplinary Studies Vol. 4 No. 01 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i01.2603

The rapid adoption of Internet of Things (IoT) technologies by startups has intensified concerns related to data governance, privacy protection, and information security risks. This study investigates the effect of IoT data governance quality and data privacy policy on information security risk mitigation and customer trust in IoT-based startups in Bandung, Indonesia. Using a quantitative research approach, data were collected from 150 users of IoT-based startup services through a structured questionnaire measured on a Likert scale. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that IoT data governance quality has a significant positive effect on information security risk mitigation. In addition, data privacy policy and information security risk mitigation both have significant positive effects on customer trust. Furthermore, information security risk mitigation partially mediates the relationship between IoT data governance quality and customer trust. These findings highlight the importance of strengthening data governance frameworks and implementing transparent privacy policies to reduce security risks and enhance customer trust. This study contributes to the growing body of literature on IoT governance and provides practical insights for startup managers and policymakers in fostering secure and trustworthy IoT-based business environments.

Bibliometric Study of IoT in Security and Monitoring Systems Judijanto, Loso; Handoko, Susatyo; Winardi, Bambang
West Science Interdisciplinary Studies Vol. 4 No. 02 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i02.2663

This study presents a bibliometric analysis of research trends on the Internet of Things in security and monitoring systems using publications indexed in the Scopus database. The objective is to map the intellectual structure, thematic evolution, and collaboration patterns that shape the development of this research field. Bibliographic data were analyzed using VOSviewer to visualize keyword co-occurrence, temporal trends, density distribution, co-authorship networks, institutional collaboration, and country partnerships. The findings indicate that the internet of things serves as the central research hub, closely linked with machine learning, cybersecurity, authentication, and monitoring system architectures. Temporal analysis shows a transition from foundational intrusion detection and network security topics toward intelligent, application-oriented solutions supported by blockchain and data privacy frameworks. Density mapping highlights the convergence of AI-driven analytics with real-time monitoring environments, while collaboration analysis reveals strong research contributions from India and expanding global partnerships involving the United States, United Kingdom, China, and European countries. The results suggest that the field is evolving toward adaptive and context-aware security frameworks embedded within domain-specific monitoring applications such as healthcare and smart agriculture. This study contributes by providing a comprehensive overview of the knowledge structure and future research directions in IoT-based security and monitoring systems.

Bibliometric Study of IoT in Security and Monitoring Systems Judijanto, Loso; Handoko, Susatyo; Winardi, Bambang
West Science Interdisciplinary Studies Vol. 4 No. 02 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i02.2663

This study presents a bibliometric analysis of research trends on the Internet of Things in security and monitoring systems using publications indexed in the Scopus database. The objective is to map the intellectual structure, thematic evolution, and collaboration patterns that shape the development of this research field. Bibliographic data were analyzed using VOSviewer to visualize keyword co-occurrence, temporal trends, density distribution, co-authorship networks, institutional collaboration, and country partnerships. The findings indicate that the internet of things serves as the central research hub, closely linked with machine learning, cybersecurity, authentication, and monitoring system architectures. Temporal analysis shows a transition from foundational intrusion detection and network security topics toward intelligent, application-oriented solutions supported by blockchain and data privacy frameworks. Density mapping highlights the convergence of AI-driven analytics with real-time monitoring environments, while collaboration analysis reveals strong research contributions from India and expanding global partnerships involving the United States, United Kingdom, China, and European countries. The results suggest that the field is evolving toward adaptive and context-aware security frameworks embedded within domain-specific monitoring applications such as healthcare and smart agriculture. This study contributes by providing a comprehensive overview of the knowledge structure and future research directions in IoT-based security and monitoring systems.

Technological Innovation in Palm Oil Industry: A Bibliometric Analysis of AI, IoT, and Precision Agriculture Applications Judijanto, Loso; Winardi, Bambang; Karnoto, Karnoto
West Science Interdisciplinary Studies Vol. 3 No. 11 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i11.2388

This s‍tudy ex‍amin⁠es the re⁠presentation of ar⁠tific⁠ial intelligenc⁠e (‍AI), the Interne⁠t of T⁠hings (IoT), and pre⁠ci⁠sion‌ agri‌culture‌ in the scholarly literature per‌taining⁠ to the palm o‌il busines⁠s.‍ A bibl‍iometric technique wa⁠s empl⁠oyed to o‍bt‌ain li⁠terature indexed in major databases from 2000 to 2‍024‍, utilizing specific search strings that‍ combined palm oil terminology wit‍h keywords relate‌d to AI, IoT, and smart farming. F‍ollowing⁠ screening and⁠ data cleansin‌g, performanc‌e analysi⁠s an⁠d science-mapping method⁠ologies were employe‍d using VOSvi⁠ewer and Biblioshiny to investigate publication pa‌tterns, signif‌icant documents, collaboration networks, and key‌word structures‍.⁠ The findings indicate a swiftly advancing researc‍h fr⁠onti‍er centered on the in‌tersection of IoT, palm oil, and s‌ustainabil‌ity, wherein sensor-‌base‌d monitor‌ing⁠, inte‌lligent platforms, and machine-learning techn⁠ologies are utilized for plantation management an‍d environ‍m‌ental supe⁠rvision. Malays‍ia and Indonesi‍a⁠ predominate⁠ in the nati‌onal network, bolstered by interdisc⁠iplinary collabora‍tions among e⁠ngineering, c‌om‍puter sc⁠ience⁠, and agriculture de‌partments. Nonetheless, i‌nclusive innovatio‍n and so‍cial factors are still inade‍qu⁠atel‌y exa⁠mined, since the majority of r‌e‌sea‍rch emphasizes‍ technical feasi‍bility and productiv⁠ity over sma‍ll‌h‌older integ‍ration or governan‌ce c‍o⁠ncerns. The⁠ report finishes by d‌eli⁠ne⁠ating practic‍al consequen⁠ces for indust⁠ry and poli‍cymakers, theoret⁠ical contributions to d⁠ig‍ital agr⁠i‌culture and innova‍tion-ecosystem research⁠,⁠ and objectives fo⁠r future‌ endeavors‌ on sustainable,‌ data-driven p⁠alm‍ oil systems.

Technological Innovation in Palm Oil Industry: A Bibliometric Analysis of AI, IoT, and Precision Agriculture Applications Judijanto, Loso; Winardi, Bambang; Karnoto, Karnoto
West Science Interdisciplinary Studies Vol. 3 No. 11 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i11.2388

This s‍tudy ex‍amin⁠es the re⁠presentation of ar⁠tific⁠ial intelligenc⁠e (‍AI), the Interne⁠t of T⁠hings (IoT), and pre⁠ci⁠sion‌ agri‌culture‌ in the scholarly literature per‌taining⁠ to the palm o‌il busines⁠s.‍ A bibl‍iometric technique wa⁠s empl⁠oyed to o‍bt‌ain li⁠terature indexed in major databases from 2000 to 2‍024‍, utilizing specific search strings that‍ combined palm oil terminology wit‍h keywords relate‌d to AI, IoT, and smart farming. F‍ollowing⁠ screening and⁠ data cleansin‌g, performanc‌e analysi⁠s an⁠d science-mapping method⁠ologies were employe‍d using VOSvi⁠ewer and Biblioshiny to investigate publication pa‌tterns, signif‌icant documents, collaboration networks, and key‌word structures‍.⁠ The findings indicate a swiftly advancing researc‍h fr⁠onti‍er centered on the in‌tersection of IoT, palm oil, and s‌ustainabil‌ity, wherein sensor-‌base‌d monitor‌ing⁠, inte‌lligent platforms, and machine-learning techn⁠ologies are utilized for plantation management an‍d environ‍m‌ental supe⁠rvision. Malays‍ia and Indonesi‍a⁠ predominate⁠ in the nati‌onal network, bolstered by interdisc⁠iplinary collabora‍tions among e⁠ngineering, c‌om‍puter sc⁠ience⁠, and agriculture de‌partments. Nonetheless, i‌nclusive innovatio‍n and so‍cial factors are still inade‍qu⁠atel‌y exa⁠mined, since the majority of r‌e‌sea‍rch emphasizes‍ technical feasi‍bility and productiv⁠ity over sma‍ll‌h‌older integ‍ration or governan‌ce c‍o⁠ncerns. The⁠ report finishes by d‌eli⁠ne⁠ating practic‍al consequen⁠ces for indust⁠ry and poli‍cymakers, theoret⁠ical contributions to d⁠ig‍ital agr⁠i‌culture and innova‍tion-ecosystem research⁠,⁠ and objectives fo⁠r future‌ endeavors‌ on sustainable,‌ data-driven p⁠alm‍ oil systems.

The Effect of Solar Panel Use on Household Electricity Cost Savings Sinuraya, Enda Wista; Triwiyatno, Aris; Winardi, Bambang
West Science Nature and Technology Vol. 4 No. 01 (2026): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v4i01.2733

This study aims to analyze the effect of solar panel use on household electricity cost savings. The research adopts a quantitative approach involving 160 respondents who are household users of solar panel systems. Data were collected through a structured questionnaire using a Likert scale to measure respondents’ perceptions regarding solar panel utilization and its impact on electricity expenses. The collected data were analyzed using SPSS version 25, including validity testing, reliability testing, descriptive statistics, and simple linear regression analysis. The results show that solar panel use has a positive and significant effect on household electricity cost savings, with a regression coefficient of 0.705 and a significance value of 0.000, which is below the threshold of 0.05. The coefficient of determination indicates that solar panel utilization explains 37.1% of the variation in electricity cost savings, while the remaining percentage is influenced by other factors. The findings suggest that households that adopt solar energy systems tend to experience lower monthly electricity costs due to reduced dependence on conventional electricity supplied by the public power grid. In addition to financial benefits, solar energy also contributes to environmentally sustainable energy consumption. Therefore, the adoption of solar panel technology can be considered a practical solution for improving household energy efficiency and reducing electricity expenditures. The results of this study provide useful insights for policymakers, energy providers, and households in promoting the wider adoption of renewable energy technologies.

Internet of Things Scholarship (2010–2026): A Scopus-Based Bibliometric Review of Thematic Clusters and Research Fronts Judijanto, Loso; Triwiyatno, Aris; Winardi, Bambang
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2808

With the fast development of the digital world, the Internet of Things (IoT) has become an important element in the research domain nowadays. This research seeks to explore how the IoT literature developed from 2010 to 2026 via the bibliometric analysis of publications in Scopus databases. Using VOSviewer software to analyze co-authorship network, citation network, and keywords co-occurrence network, this study is intended to illustrate the structural features of the IoT literature in terms of its intellectural, social, and conceptual aspects. The findings indicate that IoT studies are characterized by close relations between researchers around the world, resulting in several major knowledge diffusion centers. In the context of citations analysis, the major sources not only contribute to technological development but also address issues like the sustainable environment, digital governance, and socio-economic transformations. As regards keywords co-occurrence analysis, the main groups of IoT research are smart environments, technology, engineering, and socio-technical studies. Overlay and density maps point out that there is a change in time concerning the focus of research towards more advanced concepts in the field, such as artificial intelligence in IoT, big data analysis, industry 4.0, and sustainable development. It can be concluded that IoT research is becoming more mature and multidisciplinary in nature, focusing more on addressing issues on a global scale. This paper will contribute to the existing literature on IoT research through a thorough systematic and long-term analysis of IoT studies.

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