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Web-based Information Security Risks The Grading System in High Schools Uses NIST 800-30 Isman Hidayat; Maria Veronika; Jarot Suroso
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3512

Abstract

— Digital transformation in the education sector requires institutions to adopt web-based information systems that serve as the backbone of academic and administrative operations. While these platforms improve efficiency and accessibility, they also introduce a growing number of cyber threats that may compromise the confidentiality, integrity, and availability of institutional data. This study seeks to identify, analyze, and prioritize information security risks associated with web-based systems at SMKN 7 Tangerang Regency. The research adopts the NIST SP 800-30 framework as the methodological foundation for risk assessment, ensuring a systematic and comprehensive evaluation process. A quantitative approach was implemented by distributing questionnaires to key stakeholders, including administrators, IT staff, and teachers, in order to capture diverse perspectives on vulnerabilities and threats. The results revealed 15 significant risk factors spanning governance, operational, and technical domains. Among these, the absence of a formal information security policy, the lack of data encryption mechanisms, and the absence of continuous monitoring systems were identified as the highest-priority risks, each reaching a risk score of 12. To address these challenges, the study recommends the development of structured mitigation strategies, such as formulating security policies, implementing encryption protocols, and establishing proactive monitoring tools. The contribution of this research lies in producing a scalable risk assessment model that can be applied to other educational institutions. By doing so, it provides practical guidance for decision-makers and educators in creating a more secure, resilient, and trustworthy digital learning environment.
Analysis of Benefit Considerations for Guarantee Company Upgrading to Tier 4 Colocation Data Center in Indonesia Ferdata Adhitya Winarno Putra; Jarot S. Suroso
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 4 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i4.1004

Abstract

This research is motivated by the need for the guarantee company to improve the management of the availability of information technology services to all company stakeholders in the guarantee company data centre migration project. The guarantee company is currently collaborating with data centre colocation service providers to support information technology infrastructure needs as a location for placing hyper-converged infrastructure servers. One of the objectives of this study is to provide recommendations to company management regarding improvements related to operational efficiency, increased scalability and capacity, reliability, increased availability, increased security factors, compliance with regulations, and the ability to increase data recovery in the event of a disaster by evaluating and maintained for enterprise data centre migration plans. This research focuses on how the benefits of data centre migration are currently at the highest level, which will be explained in this paper, where the author will provide a systematic and measurable visualisation regarding facts and relationships in carrying out the stages of activity, starting with data collection, analysis, and making suggestions in improving colocation data services in the area of the country of Indonesia.
Internet of Things in Greenhouse Cultivation of Chrysanthemum Flowers in Primadona Tomohon Farmers Group Milytia Christabella Tumengkol; Kofal Hilkiah Lasewa; Jarot S Suroso
TEPIAN Vol. 6 No. 4 (2025): December 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i4.3438

Abstract

The application of the Internet of Things (IoT) in greenhouses provides innovative solutions to enhance the efficiency and quality of chrysanthemum cultivation for the Primadona farmer’s group in Tomohon. The application of the automated system created is a condensation system that activates when the average temperature inside the greenhouse reaches 28 °C during the vegetative phase and 23°C during the generative phase, a drip irrigation system that turns on automatically when the average soil moisture value reaches 50%, as well as UV lights and exhaust fans that operate at night. The application of IoT also enables farmers to monitor and control greenhouse climate conditions in real-time using the Blynk application. The research method employed is experimental, incorporating a literature study to understand the application of IoT in greenhouses for chrysanthemum cultivation, as well as analysis of hardware and software requirements, system design, and system testing for real-world operations. The evaluation of the results provides insights into the effectiveness of IoT implementation in greenhouses for chrysanthemum cultivation, particularly for the Primadona Tomohon farmer group.
Implementasi Model Kesuksesan Sistem Informasi DeLone dan McLean pada SVOD Platform (Studi Kasus: Netflix) Nico Yonatan Wicaksana; Jarot Sembodo Suroso
ITEJ (Information Technology Engineering Journals) Vol. 7 No. 2 (2022): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v7i2.98

Abstract

Abstract — Netflix is a pioneer in the video on demand subscription platform in Indonesia and remains the most popular video streaming service in the world, but Netflix has been forced to relinquish its position as the SVOD provider with the highest subscribers to become the fourth position in Indonesia. The SI DeLone and McLean success model modified by Hudin and Riana in 2016 is used in this study to determine Netflix's success factors and can be used for sustainability progress. The Smart PLS software program was used to evaluate survey data from 410 respondents, which indicated that information quality had a significant effect on system usage (Statistics T=2.85; P-Values=0.005; F-Square=0.023) and user satisfaction ( Statistics T=2.927; P-Values=0.004; F-Square=0.024). However, the quality of the system has no significant effect on system use (T-Statistics=2.628; P-Values=0.009; F-Square=0.018) but has a significant effect on user satisfaction (T-Statistics=5.219; P-Values =0.000; F-Square = 0.086). In addition, service quality has a significant effect on system usage (T-Statistics=3.447; P-Values=0.001; F-Square=0.032) and user satisfaction (T-Statistics=3.654; P-Values=0.000; F-Square = 0.043 ). The use of the system also has a significant effect on net benefits (Statistics T=6.625; P-Values=0.000; F-Square=0.16) and user satisfaction (Statistics-T=7.417; P-Value=0.000; F-Square= 0, 14). The last factor is user satisfaction which has a significant effect on net profit (T-Statistics=6.509; P-Values=0.000; F-Square=0.124). Suggestions for further research are to develop a model with other models to achieve better research results and to find out more independent variables that influence the success rate of the Netflix platform in Indonesia.
Analisis Faktor-Fator yang Mempengaruhi Penggunaan Aplikasi Investasi Reksadana Online pada Generasi Millenial dan Generasi Z Jasmine Aubrey Andrea; Jarot S Suroso
ITEJ (Information Technology Engineering Journals) Vol. 7 No. 1 (2022): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v7i1.99

Abstract

This study aims to analyze the driving factors that can influence individuals in using mutual funds Bibit application. The proposed model has factors from the The theory of technology adoption (TAM) is implemented in this study to analyze how technology adoption of online mutual fund investment with millennial as the main object of research. This research is a quantitative research with a survey method by distributing online questionnaires. Sampling using purposive sampling method. This study Used 5 internal variables and 3 external variables which are Perceived Security, Perceived Trust and User Interface After gathering 168 data respondents, it is found that there are several factors that have positive significance to Actual System Use to adopt online mutual fund application, namely Perceived Security, User Interface, Perceived Usefulness, Perceived Ease of use, Attitude Toward Use and Behavioral Intention to Use. Meanwhile, Perceived Trust have no significance to Actual System Usage of Bibit application. This finding will be useful for online mutual fund application developers to transform conventional mutual fund to online platforms format.
The Artificial Intelligence (AI) Model Canvas Framework and Use Cases Aldian Nurcahyo; Jarot Suroso; Gunawan Wang
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.22206

Abstract

Artificial Intelligence (AI) has grown increasingly in the past decade. The growth and development bring up several issues for a successful AI project. The AI project requires communication across different domains, like specialists, engineers, data scientists, stakeholders, and ecosystem partners (analytic, storage, labeling, and open-source platforms). It offers numerous vital qualities to give deeper insights into user behavior and give recommendations based on the data. The AI project is hard to define, it requires more than mastery of data, and every enterprise needs guidance and a simple plan on how to use AI. This research creates a wide-view approach of different types of AI Model Canvas for companies that do projects, produce, promote and provide AI technology to organizations. We selected three canvases that represented AI, Machine Learning (ML), and Deep Learning (DL) method. We illustrate and interpret those canvas along with some case studies. We conclude our research by writing the final case report for each use case from the AI model canvas. By filling the one-page Canvas, it will help us explain what AI will provide, how it will interact with humans judgment, and how it will be used to influence decisions, how you will measure success & outcome, and the type of data needed to train, operate, and improve AI. The AI Model Canvas purposed a clear description and differentiation of the roles of stakeholders, customers, and AI strategy. This canvas also can be used in analytical and assembly projects in making new product lines.
Evaluation of the Net Benefits of Using a Logistics Transportation Monitoring Application for PT. XYZ Dimas Putri Pratiwi; Jarot S. Suroso
Glosains: Jurnal Sains Global Indonesia Vol. 7 No. 3 (2026): Glosains: Jurnal Sains Global Indonesia
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/glosains.v7i3.775

Abstract

Background: PT. XYZ is a telecommunications company that provides telecommunications network support and maintenance services. The company experienced disruptions in its logistics processes, resulting in losses equivalent to 60% of its total logistics costs. Because PT. XYZ had difficulty monitoring material deliveries, an information system in the form of a logistics transportation monitoring application was developed. However, the application has been operational for only six months. Infor mation systems (IS) have become an increasingly important field of study in business organizations because of the need to better understand the value generated by information and information technology. Objective: This study aims to evaluate the success and net benefits of PT. XYZ’s Logistics Transportation Monitoring Application. Methods: This study employed a quantitative approach by surveying 133 application users. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS to identify the factors influencing application use, user satisfaction, and net benefits. The DeLone and McLean Information Systems Success Model was used as the theoretical framework. Results: The hypothesis-testing results show that information quality and system quality have positive effects on user satisfaction. System quality and service quality positively affect application use, while user satisfaction and application use positively affect the net benefits of the Logistics Transportation Monitoring Application. Conclusion: The evaluation based on the DeLone and McLean Information Systems Success Model and PLS-SEM analysis using SmartPLS, with data from 133 respondents, shows that seven of the nine proposed hypotheses are supported. User satisfaction and application use are the primary drivers of the net benefits generated by the Logistics Transportation Monitoring Application.