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Optimizing Content Hit Rate On Named Data Network Using Multilevel Content Store Putra Pamungkas, Muhammad; Ahmad Efendi, Rostam
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 1 No. 2 (2024): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v1i2.44

Abstract

The internet is a technology that allows users to exchange information more flexibly. As internet service users increase, communication not only between humans but also between machines (IoT), so does the need for internet access. With the architecture in use today, IP based network, Requires users to access the server / producer (of the content) to obtain the desired content. This architecture will meet with limitations where the density of network traffic will continue to increase. Named Data Network (NDN) is currently being developed as an internet supporting architecture which changes the interconnection paradigm that was previously address-based to the desired content/information. NDN which can support the needs of users to access content through the content caching feature. The content caching capability allows the router to store copies of content in memory for a specified period of time. So users who need content can simply access the closest source (content store). The scheme that is widely used in the content caching method is to place content in one large memory. This research develops a scheme where cache memory is divided into two levels (multilevel CS). The purpose of using multilevel CS is to improve the performance of the content store. Testing is done by comparing the single content store scheme and multilevel content store. The parameters tested are the hit rate, miss rate, and average content lifetime in the content store. As a test parameter is a large change in content store size, interest rate, topology grid size, and consumer deployment. From the simulation results, the 2-level content store scheme has better performance compared to conventional schemes.
Internet of Things for Monitoring and Controlling Ammonia Gas and Temperature in Chicken Farms Lifwarda, Lifwarda; Mawandri, Azra; Aulia Rahma, Erin; Ahmad Efendi, Rostam
International Journal of Wireless And Multimedia Communications Vol. 2 No. 1 (2025): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v2i1.65

Abstract

This research aims to develop a tool to monitor and control temperature and ammonia gas levels in chicken farms. Ammonia gas (NH3) is an indicator of pollution that is harmful to the health of chickens, humans, and the environment. Ideal ammonia levels in cages should not exceed 30 ppm, while the safe threshold for chickens and humans is 25 ppm. High temperatures can increase ammonia levels, thus negatively affecting the health and productivity of broilers. The developed tool uses an MQ135 sensor to detect ammonia gas levels and a DHT22 sensor to measure temperature and humidity. The data obtained will be processed by ESP32 as a microprocessor. The measurement results are displayed on the LCD, and the tool is equipped with a WiFi module to connect it to the internet. A DC fan serves as an automatic control system to keep the temperature and ammonia gas levels within safe limits. Through an application built with MIT App Inventor, users can access real-time temperature data and ammonia gas levels. With this system, it is expected that chicken health and farm productivity can increase, and the risk of pollution due to ammonia gas can be minimized. This research is expected to be a reference for the development of monitoring and control technology in the livestock sector, providing effective solutions for farmers to create a healthier environment for chickens.