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All Journal Jurnal Indonesia Sosial Teknologi Jurnal Pendidikan Indonesia (Japendi) Interdisciplinary Journal of Advanced Research and Innovation Livestock Science and Innovation Journal
Mohamad Nasir
Politeknik Siber Cerdika Internasional, Indonesia
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Development of a Real-Time Web-Based Dashboard for Monitoring Air Quality and Light Intensity in Oyster Mushroom Cultivation Mohamad Nasir; Muhammad Khoerudin
Interdisciplinary Journal of Advanced Research and Innovation Vol. 4 No. 1 (2026): Interdisciplinary Journal of Advanced Research and Innovation
Publisher : Ravine Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/ijari.v4i1.98

Abstract

Environmental monitoring in oyster mushroom (Pleurotus ostreatus) cultivation is still predominantly conducted manually, limiting rapid responses to environmental changes and reducing operational efficiency. This study aimed to develop and evaluate a real-time web-based dashboard capable of monitoring air quality (CO?) and light intensity in oyster mushroom cultivation environments using Internet of Things (IoT) technology. The system employed a three-layer architecture consisting of NodeMCU ESP32 sensor devices integrated with MQ135 and BH1750 sensors, an API-based communication and database layer, and a web-based visualization interface. System performance was evaluated through response-time testing, sensor accuracy assessment, and usability evaluation involving cultivation operators. The results demonstrated that the dashboard achieved low-latency visualization with an average response time of approximately 1.1 seconds, while sensor accuracy exceeded 98% for both CO? and light intensity measurements. Usability testing also indicated that the dashboard interface effectively supported environmental monitoring and operational decision-making. The study contributes theoretically to precision agriculture literature by integrating real-time environmental monitoring with user-centered visualization design and contributes practically by providing a scalable monitoring framework for smart mushroom cultivation systems. These findings indicate that web-based real-time dashboards can enhance operational efficiency, environmental awareness, and data-driven decision-making in precision agriculture.
Smart Feeding System Using IoT Sensors to Optimize Feed Conversion Ratio (FCR) and Growth Performance in Broiler Production Mohamad Nasir
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.
Merancang Kit Pemula IoT Berbiaya Rendah untuk Pendidikan Perikanan dan Akuakultur di SMK Pesisir Kabupaten Cirebon Mohamad Nasir; Ade Fitria Fatimah
Jurnal Pendidikan Indonesia Vol. 5 No. 1 (2024): Jurnal Pendidikan Indonesia (Japendi)
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v5i1.9660

Abstract

Transformasi digital sektor perikanan dan akuakultur menuntut lulusan SMK yang melek teknologi IoT, namun SMK di kawasan pesisir Kabupaten Cirebon menghadapi dua hambatan kritis: ketiadaan kit pembelajaran yang kontekstual dan mahalnya kit komersial yang tersedia. Penelitian ini bertujuan merancang dan mengevaluasi efektivitas IoT starter kit berbiaya rendah berbasis konteks budidaya perikanan tambak untuk siswa kelas XI Agribisnis Perikanan SMK Negeri pesisir Kabupaten Cirebon. Penelitian menggunakan pendekatan Design and Development Research (DDR) dengan model ADDIE, melibatkan 60 siswa dari dua kelas, dengan instrumen pre-test/post-test, angket motivasi belajar, lembar observasi guru, dan wawancara semi-terstruktur. Analisis data menggunakan N-gain score, paired samples t-test, dan thematic analysis. Hasil menunjukkan peningkatan rata-rata nilai dari 54,3 (pre-test) menjadi 81,7 (post-test) dengan N-gain 0,67 (kategori sedang-tinggi), serta 83% siswa menyatakan sangat termotivasi karena relevansi konteks tambak lokal. Kit yang terdiri dari ESP8266 NodeMCU, sensor air, dan modul relay diproduksi seharga Rp178.000 per unit, jauh di bawah harga kit komersial sejenis. Guru menilai kit mudah diintegrasikan ke dalam RPP yang ada tanpa perombakan kurikulum besar. Penelitian ini menyimpulkan bahwa kit IoT berbiaya rendah yang dirancang secara kontekstual terbukti efektif secara pedagogis dan layak secara finansial bagi SMK pesisir, serta berpotensi menjadi model replikasi transformasi digital pendidikan vokasional perikanan di Indonesia.
Precision Aquaculture Integration with IoT Multi-Parameter Water Quality Sensor for Tambak Udang Farmers in Cirebon Coastal Area Mohamad Nasir; Ade Fitria Fatimah
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 Ade Fitria Fatimah Muhammad Khoerudin