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Keragaman Bakteri Selulolitik Rumen Sapi Bali Dengan Teknik Biomolekuler Muhammad Jufri; Nurjannah Nurjannah; Fadillah Salabilah; Nurwahidah Nurwahidah
KOLONI Vol. 3 No. 2 (2024): JUNI 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v3i2.630

Abstract

The Balinese cow are able to utilize low quality feed to meet basic the needs The reserch aims to study the diversity of rumen bacteria of Balinese cow that is maintained in the people’s farm of Somba Opu District of Gowa Regency. The subjects of this research consisted of 8 adult Balinese cow that were obtained from the people’s farm of Somba Opu District of Gowa Regency. Adult Balinese cow was divided into two groups, i.e. control group consisting of 3 cows and treatment group consisting of 5 cows. The former was given local feeds of straw and field grass and the latter was given the same feed plus suplement feed. The results of the research indicate that nutritional content in the feed for control group consists of crude protein (22.81%) and crude fiber (4.41%), while the one in treatment group consistens of crude protein (7.47%) and crude fiber (35.19%). This indicates that nutritional content of the treatment group is higher than that of control group. The high nutrition in the feed of treatmnet group is indicatede by high protein and low fiber. This is caused by the use of urea, fish meal, and soybean meal. The high fiber in the feed is caused by feed materials consisting of straw and field grass. Thus, the result indicates that nutritional content in the treatment group is higher than the one in control group and the pH value of fluid rumen is affected by the content of VFA, NH3, and lactic acid.
IOT-BASED SOLAR POWER GENERATION SYSTEM DESIGN FOR REAL-TIME MONITORING Farida Arinie; Sulaiman Sulaiman; Usman Tahir; Nurjannah Nurjannah; Ardi Azhar Nampira
Journal of Moeslim Research Technik Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i1.1932

Abstract

The increasing demand for renewable energy sources has led to the growing adoption of solar power systems. However, efficient monitoring of these systems is essential for optimizing performance and maintenance. Integrating Internet of Things (IoT) technology offers potential solutions for real-time monitoring and management of solar power generation. This research aims to design an IoT-based solar power generation system that enables real-time monitoring of energy production, system performance, and environmental conditions. The goal is to enhance the efficiency and reliability of solar energy systems through advanced data analytics. A prototype system was developed using IoT sensors to collect data on solar panel output, temperature, and weather conditions. The system utilized a microcontroller for data processing and transmission to a cloud platform for real-time visualization and analysis. User-friendly dashboards were created to facilitate monitoring and alert users to potential issues. The findings demonstrated that the IoT-based system effectively monitored solar power generation, providing real-time data on energy output and environmental factors. The system achieved an accuracy of 95% in data reporting, allowing for timely interventions to optimize performance. Users reported improved decision-making capabilities based on the insights gained from the monitoring system.