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Manufacturing Silage From Field Grass For Cattle Feed Using The Fermentation Method Kiram, Jumadil; Zaini, Halim; Satriananda, S
Jurnal Sains dan Teknologi Reaksi Vol 21, No 02 (2023): JURNAL SAINS DAN TEKNOLOGI REAKSI
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jstr.v21i02.5256

Abstract

ABSTRACT Ruminant livestock require forage for growth, reproduction and production. The principle of forage for livestock is that it contains good nutrition and is available throughout the year. One technology for preserving forage is by making silage. Making silage, apart from preserving and minimizing nutrient loss, can also improve feed nutrition. Silage is feed that is preserved through the ensiling process, namely the process of preserving feed or forage using fermentation work under anaerobic conditions (Suadnyana, et al, 2017). In this research, field grass silage was made with the addition of EM4 containing Lactobacillus sp bacteria at different concentrations and varied fermentation times so that making field grass silage is expected to improve the fermentative quality and improve or maintain the nutritional quality of the feed which can be seen from the content. water, protein content, pH, and color. The analysis process was carried out with varying fermentation times of 4, 8, 12, 16 and 20 days and EM4 concentrations of 0.2%, 0.4%, 0.6% and 0.8% (v/w). The test results show that the best silage is with a fermentation time variation of 20 days with an EM4 concentration of 0.6%, 20 days with an EM4 concentration of 0.2%, and 16 days with an EM4 concentration of 0.8%. This is because the longer the fermentation time and the more EM4 added, the better the quality of the silage obtained. Keywords: EM4, Bran, Fermentation, Molasses, Silage
DESIGN OF AN ANAEROBIC DIGESTER FOR BIOGAS PRODUCTION FROM COW MANURE BASED ON THE INTERNET OF THINGS (IOT) Taufiq, Muhammad; Satriananda, S
Jurnal Sains dan Teknologi Reaksi Vol 23, No 02 (2025): JURNAL SAINS DAN TEKNOLOGI REAKSI
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jstr.v23i02.8841

Abstract

The continuously increasing energy demand drives the utilization of renewable energy, one of which is biogas from cow dung. Biogas production is generally not optimal because fermentation is conducted at room temperature, which is less suitable for methanogenic bacteria. This research designs an Internet of Things (IoT) based anaerobic digester that can monitor and control temperature in real time, while also examining the effect of fermentation temperature on biogas volume and Chemical Oxygen Demand (COD). The temperature of 25°C produced the lowest volume (0.3 L) and COD (9600 mg/L). The optimal fermentation condition is found at a temperature of 35°C. The research results indicate that temperature significantly affects the fermentation process. A temperature of 35°C yields the highest biogas volume (3.7 L) and the lowest COD (6400 mg/L), whereas a temperature of 27°C results in the lowest volume (0.3 L) and COD (9600 mg/L). The optimal fermentation condition is at a temperature of 35°C. The application of IoT facilitates the monitoring of the process and enhances the efficiency of biogas production.Keywords: Biogas, Anaerobic Digester, Internet of Things (IoT), Chemical Oxygen Demand (COD)
IMPLEMENTATION OF THE INTERNET OF THINGS (IoT) SYSTEM FOR THE COFFEE BEAN DRYING PROCESS USING A TRAY DRYER Raihana, Raisa; Satriananda, S; Rihayat, Teuku
Jurnal Sains dan Teknologi Reaksi Vol 23, No 02 (2025): JURNAL SAINS DAN TEKNOLOGI REAKSI
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jstr.v23i02.8834

Abstract

This study aims to implement an Internet of Things (IoT) system in the coffee bean drying process using a tray dryer to improve efficiency and ease of monitoring. The system is designed using a DHT22 sensor to read temperature and humidity, a MAX6675 sensor to monitor the heater temperature, an HX711 load cell sensor to measure the weight of the coffee beans, and a DS1302 RTC to record the drying time. All data is displayed on an LCD and sent to the Blynk IoT platform for remote monitoring. Testing was conducted with five drying temperature variations, namely 30°C, 35°C, 40°C, 45°C, and 50°C, each for 5 hours. The results showed that a temperature of 50°C produced the best results with a final moisture content of 7.21%, which meets the SNI 01-2907-2008 standard for coffee bean storage, which is a maximum of 12.5%. This IoT-based drying system has proven to be capable of automating the drying process with accurate and efficient monitoring, as well as enabling real-time remote monitoring. Thus, this system can be a modern solution in coffee post-harvest processing. Keywords: Blynk, coffee beans, drying, IoT, moisture content, sensors, tray dryer