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Harson Kapoh
Politeknik Negeri Manado
Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences

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Data Security and Data Protection in Cloud Privacy Systems Harson Kapoh; Putri Aprilyana; Yeremia Sumampow; Marsya Mailake; Farel Manimpurung; Hafizhan Pakaya
Jurnal Syntax Admiration Vol. 5 No. 11 (2024): Jurnal Syntax Admiration
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v5i11.1768

Abstract

In this modern world, the internet has become very influential in our daily lives. The Internet has many uses to solve various problems, one of which is full hardware storage, therefore the Internet provides software-based data, for example, cloud storage applications. The study aims to analyze and evaluate various data security techniques and protection methods used in the cloud computing framework, focusing on vulnerability identification, risk mitigation strategy assessment, and user security awareness improvement. In addition, this study aims to analyze data security techniques and data protection approaches applied to cloud systems. In addition, the study also assesses potential risks and mitigates security threats such as cyberattacks and data breaches. Using qualitative methodologies, the study investigated relevant literature, examined real-life cases of data breaches, and analyzed the effectiveness of security measures such as encryption and multi-factor authentication. The findings show that cloud systems remain vulnerable to cyber threats like DDoS attacks, credential theft, and data breaches due to inadequate security protocols. Key recommendations include adopting encryption, improved multi-factor authentication practices, and encouraging collaboration between cloud service providers and users to strengthen data security. The research contributes by proposing a comprehensive approach to improving data protection in cloud environments, ensuring a secure and resilient infrastructure for users. Implementing these findings will support the development of more secure cloud technologies and increase user confidence in data security practices. It is hoped that the study's results can provide recommendations to improve data security and data protection in cloud systems.
Design and Development of an IoT-Based Air Quality Monitoring System to Support Inspection Processes Mohamad Agil Saputra Kantu; Serina Zera Patricia Tumoka; Sitti Nurhazriah Asraka; Maureen Langie; Harson Kapoh
Journal of Social Research Vol. 5 No. 8 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i8.3317

Abstract

Air quality degradation caused by industrial activities, urbanization, and increasing transportation has become a significant environmental issue affecting human health and ecosystem sustainability. Conventional air quality inspection methods often require lengthy measurement processes and are unable to provide real-time information, resulting in limitations in continuous monitoring and decision-making. This research aims to design and develop an Internet of Things (IoT)-based air quality monitoring system integrated with the Mamdani Fuzzy Logic method to support real-time inspection processes and improve air quality classification accuracy. The research employed a Research and Development (R&D) approach using the ADDIE development model, which consists of the analysis, design, development, implementation, and evaluation stages. The developed system utilizes an ESP32 microcontroller integrated with multiple sensors to measure particulate matter (PM2.5 and PM10), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3) parameters. Data transmission is conducted through GSM/LTE communication and visualized using a web-based monitoring platform. The results indicate that the system successfully performs real-time data acquisition, storage, visualization, and air quality classification based on Indeks Standar Pencemar Udara (ISPU) standards. The implementation of Mamdani Fuzzy Logic shows that air quality conditions were predominantly categorized as Good, with the highest ISPU value of 67 recorded at 12:00 due to increased PM2.5 and PM10 concentrations. The findings demonstrate that the proposed IoT-based monitoring system can provide an effective, automated, and structured solution to support air quality inspection processes. Future improvements are recommended through sensor calibration, the addition of environmental parameters, and integration with predictive intelligence models.
Cybersecurity as a Pillar of Data Protection in the Digital Era: Strategies, Regulations, and Implementation in Facing Cyber Threats Harson Kapoh; Sabian Saleh Katijo; Khrisna Suwartono Putra; Raisya Wulandari Nurhamidin; Sintikhe Ranteallo
Cerdika: Jurnal Ilmiah Indonesia Vol. 6 No. 2 (2026): Cerdika: Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v6i2.3330

Abstract

Digital Transformation has changed the way people work, interact, and carry out daily activities. This revolution has brought high efficiency to communication, commerce, education, and even public services. Data is now considered “the new oil” due to its vital role in decision-making, business strategy, and the development of artificial intelligence–based technologies. However, as the use of digital technology increases, cyber threats have also grown more complex. Attacks such as malware, ransomware, phishing, identity theft, and data breaches have become global issues that can disrupt economic stability, damage an organization’s reputation, and even threaten national sovereignty. This study aims to analyze the role of cybersecurity as a pillar of data protection in the digital era. The method used is a literature review that examines various scientific publications, international standards, security reports, and regulations applicable at both national and global levels. The results show that data protection cannot rely solely on advanced technology; it also requires clear regulations, competent professionals, and public awareness of the importance of information security.
Co-Authors Farel Manimpurung Hafizhan Pakaya Khrisna Suwartono Putra Marsya Mailake Maureen Langie Mohamad Agil Saputra Kantu Putri Aprilyana Raisya Wulandari Nurhamidin Sabian Saleh Katijo Serina Zera Patricia Tumoka Sintikhe Ranteallo Sitti Nurhazriah Asraka Yeremia Sumampow