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All Journal JURNAL BISNIS STRATEGI Diponegoro Journal of Management Diponegoro Journal of Accounting KEK (Kajian Ekonomi dan Keuangan) Jendela Pendidikan Jurnal Indonesia Sosial Teknologi Equivalent: Jurnal Ilmiah Sosial Teknik Generasi: Jurnal Pendidikan Anak Usia Dini Journal of Digital Marketing and Search Engine Optimization Livestock Science and Innovation Journal
Mohamad Nasir
Jurusan Akuntansi Fakultas Ekonomika Dan Bisnis Universitas Diponegoro
Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Cybersecurity And Social Resilience: A Technical Social Analysis On Data Protection Issues In The Era Of Globalization Nasir, Mohamad; Guterres, Antonio; Deus, Bonifácio de
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 6 No. 2 (2024): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v6i2.239

Abstract

In the digital era, cybersecurity and data protection are crucial issues due to the increasing frequency and complexity of cyber threats. Personal data protection is now not only a technical issue, but also a social challenge that affects social resilience in the midst of globalization. This study aims to analyze the relationship between cybersecurity policy, public perception of data protection, and its impact on social resilience in various regions. A mixed-methods approach combining quantitative surveys and qualitative interviews was used to collect data from 500 respondents in Europe, Southeast Asia, North America, and Latin America. The results show that stronger cybersecurity frameworks, such as GDPR, are associated with high public trust and social resilience towards digital services. In addition, public perception and awareness of data protection policies have a significant impact on the effectiveness of these policies, with more informed communities showing higher levels of social resilience. The study also found that data breaches have a huge social impact, undermining trust and undermining community cohesion. However, an effective response to such breaches can restore public trust and strengthen social resilience. These findings suggest the importance of raising public awareness and strengthening cross-sector collaboration to strengthen social resilience to cyber threats.
Smartphone-Based Order Recording Application for Non-Technical Users: A Local Network Solution Riyan, Ade Bani; Nasir, Mohamad; Savandha, Septien Dwi; Fatimah, Ade Fitria; Magfiroh, Diana; Amelia, Amelia
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 1 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i1.253

Abstract

Background: Digital technology adoption among micro, small, and medium enterprises (MSMEs) in Indonesia remains limited, particularly among non-technical users. Many existing commercial applications present barriers related to system complexity, subscription costs, and dependence on stable internet connectivity, which hinder effective business digitalization. Aims: This study aims to develop and evaluate a smartphone-based order recording application tailored to MSME users with limited digital literacy, focusing on accessibility, usability, and operational efficiency without reliance on internet infrastructure. Methods: The research employed a Research and Development (R&D) methodology with a mixed-methods approach. The development process followed five iterative stages: needs analysis involving 18 MSME owners, user-centered system design, technical implementation using a local area network architecture, functional and usability testing, and iterative refinement based on user feedback. Usability evaluation was conducted with 12 non-technical MSME users using task performance metrics and the System Usability Scale (SUS). Results: The application achieved a SUS score of 74.2, indicating good usability, with an average task completion rate of 91.7%, surpassing typical benchmarks for commercial MSME applications. The local network architecture successfully eliminated internet dependency, reduced operational costs, improved system responsiveness, and enhanced data privacy. Key usability factors included simplified interfaces, minimal text input, large touch targets, consistent navigation, and reduced cognitive load. Conclusion: The findings demonstrate that digital solutions designed around user capabilities can effectively bridge the digital divide among non-technical MSME users. This study provides a replicable model for inclusive, low-cost, and accessible business application development in resource-constrained contexts.
Smart Feeding System Using IoT Sensors to Optimize Feed Conversion Ratio (FCR) and Growth Performance in Broiler Production Nasir, Mohamad
Livestock Science & Innovation Journal Vol. 2 No. 2 (2025): Livestock Science and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/lsij.v2i2.32

Abstract

Background: Traditional feeding systems in broiler production often result in feed waste and suboptimal growth performance, affecting both profitability and sustainability. The integration of Internet of Things (IoT) technology in livestock management offers potential solutions for precision feeding.Objective: This study aims to evaluate the effectiveness of an IoT-based smart feeding system in optimizing Feed Conversion Ratio (FCR) and growth performance in broiler chickens compared to conventional feeding methods.Method: A total of 480-day-old Ross 308 broilers were allocated into two treatment groups: conventional feeding (CF, n=240) and IoT-based smart feeding (SF, n=240). The smart feeding system utilized load cell sensors, environmental sensors (temperature, humidity), and automated feeding algorithms. Data collection included daily feed intake, body weight, FCR, mortality rate, and production costs over a 35-day production cycle.Findings and Implications: The SF group demonstrated significantly better performance with FCR of 1.52±0.08 compared to CF group (1.78±0.12, P<0.01). Average daily gain increased by 14.3% (62.8±3.2 g/day vs 54.9±4.1 g/day, P<0.01). Feed waste reduced by 23.5%, and production costs decreased by 18.7% per kilogram of live weight. The system achieved 94.2% accuracy in feed demand prediction.Conclusion: IoT-based smart feeding systems significantly improve FCR, growth performance, and economic efficiency in broiler production, representing a valuable technology for sustainable poultry farming practices.
Augmented Reality (AR) in Early Childhood Science Education Enhancing Conceptual Understanding Nasir, Mohamad
Generasi: Jurnal Pendidikan Anak Usia Dini Vol. 3 No. 1 (2025): Generasi : Jurnal Pendidikan Anak Usia Dini
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/generasi.v3i1.313

Abstract

Background: Early childhood science education faces challenges in making abstract concepts concrete and engaging for young learners. Augmented Reality (AR) technology offers promising potential to bridge this gap through interactive and immersive learning experiences. Objective: This study investigates the effectiveness of AR-based learning media in enhancing early childhood students' understanding of basic science concepts, examining its impact on cognitive comprehension, engagement levels, and knowledge retention. Methods: A quasi-experimental pretest-posttest control group design was employed with 120 kindergarten students (aged 5-6 years) from three schools in urban Indonesia. Participants were randomly assigned to experimental (AR-based learning) and control (conventional learning) groups. Data were collected through observation checklists, cognitive comprehension tests, and engagement measurement instruments over eight weeks. Statistical analyses included independent t-tests, ANCOVA, and effect size calculations. Results: The AR group demonstrated significantly higher comprehension scores (M = 82.45, SD = 6.73) compared to the control group (M = 71.23, SD = 8.92), t (118) = 7.84, p < 0.001, Cohen's d = 1.43. Engagement levels increased by 67% in the AR group, and retention rates after four weeks remained 34% higher than conventional methods. Conclusion: AR technology significantly enhances early childhood understanding of basic science concepts through improved visualization, interactivity, and sustained engagement. This study contributes empirical evidence supporting AR integration in early science education and provides practical implementation guidelines for educators. 
Precision Aquaculture Integration with IoT Multi-Parameter Water Quality Sensor for Tambak Udang Farmers in Cirebon Coastal Area Nasir, Mohamad; Fatimah, Ade Fitria
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 2 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i2.9173

Abstract

Shrimp aquaculture in the coastal tambak areas of Cirebon, West Java, faces persistent challenges related to fluctuating water quality driven by tidal dynamics and estuarine pollution, which frequently result in mass shrimp mortality events that devastate smallholder farmers' livelihoods. This study aimed to design, implement, and evaluate a low-cost IoT multi-parameter water quality monitoring system for vanamei shrimp (Litopenaeus vannamei) tambak farmers in Kecamatan Losari and Gebang, Cirebon. A mixed-methods research design was employed, integrating experimental hardware development, quantitative sensor validation, and qualitative usability assessment through a 30-day field deployment across five active pond units. The system utilized a NodeMCU ESP32 microcontroller integrated with pH, dissolved oxygen (DO), temperature (DS18B20), salinity, and turbidity sensors, transmitting real-time data via WiFi and LoRa to Firebase and ThingsBoard cloud platforms, accessible through an Android mobile application. Results demonstrated strong sensor accuracy across all parameters, pH (MAE ±0.20), DO (MAE ±0.27 mg/L), and temperature (MAE ±0.09°C), with system uptime of 94.7% and mean alert notification latency below five seconds. Farmer usability evaluation yielded a System Usability Scale (SUS) composite score of 78.4 (Grade B=Good). No mass mortality events occurred during the trial period, providing preliminary evidence of tangible aquaculture outcome improvement. The study concludes that affordable, participatory-designed IoT monitoring systems can effectively bridge the technology-adoption gap in smallholder coastal aquaculture, with recommendations for LoRa-primary connectivity, wet-season validation trials, and AI-driven predictive alert integration in future iterations.
Co-Authors Amelia Amelia Deus, Bonifácio de Fatimah, Ade Fitria Guterres, Antonio Handoyo, Agus magfiroh, diana Moh. Iskandar Nur Riyan, Ade Bani Santiko Wicaksono, Santiko Savandha, Septien Dwi