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Journal : Journal of Computer Science and Informatics Engineering (J-Cosine)

Rancang Bangun Sistem Conditioining Udara Berbasis IoT pada Studi Kasus Tanaman Selada Hidroponik Anak Agung Angga Dwipa; I Gede Putu Wirarama Wedashwara W; Ariyan Zubaidi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 1 (2020): June 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.164 KB) | DOI: 10.29303/jcosine.v4i1.297

Abstract

Air temperature and humidity as well as water temperature are very important environment variables in planting DFT hydroponic lettuce plants in a greenhouse. Controlling and monitoring the temperature and humidity generally still done manually by farmers. This problem can be solved by building an air conditioning system that implements the concept of the Internet of Things, which plays a role in automation control of actuators, and MQTT protocols as its data communication medium. Based on the test results, the system has been able to perform measurement and conditioning of air temperature and humidity, as well as water temperature in the greenhouse automatically. Comparison of observation and test result data with sunny weather conditions, showing that the average and maximum value of air and water temperature on test, lower compared to observation data. While the average and minimum value of humidity in the test are higher than the observation data.
Rancang Bangun Smart Meter System untuk Penggunaan Air pada Rumah Tangga Berbasis Internet of Things Ramdani Ramdani; I Gede Putu Wirarama Wedashwara W; Ariyan Zubaidi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 2 (2020): December 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v4i2.300

Abstract

Water is one of the mineral resources which is a source of basic human needs and has many uses including drinking, bathing, washing and so on. In urban areas, clean water services are generally provided by the government through the PDAM (Regional Water Company). In the use of water, sometimes the user is not able to control the use of water which causes an enlarged water bill as in one of the houses in Pancor, East Lombok Regency. In this area, monitoring is still carried out conventionally by checking the water meter used. Monitoring systems are now widely used as an alternative way to monitor one of them in monitoring water use. In this study, a system (Smart Meter System) that can be used to control and monitor water usage in the household for more efficient water use is designed. By using WeMos as a microcontroller, Water Flow Sensor and MQTT (Message Queuing Telemetry Transport) protocol as data communication, remote control and monitoring of water use in households can be done in real-time.
Sistem Monitoring Kondisi Kesehatan Sebelum dan Sesudah Olahraga Menggunakan Pulse Sensor dan Sensor DS18B20 dengan Metode Naive Bayes: Health Condition Monitoring System Before and After Sports Using Pulse Sensor and DS18B20 Sensor with Naive Bayes Method Islam Hidayah; I Gede Putu Wirama Wedashwara W; Ariyan Zubaidi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 6 No 1 (2022): June 2022
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v6i1.353

Abstract

Heart rate and body temperature are essential factors that must be considered before exercise is essential to optimize exercise and know the body's condition. The trainer conducts a health check, and management evaluates the exercise results conducted on the athlete. The Internet of Things is the solution provided to facilitate the monitoring of health conditions and measure exercise intensity. Before and after exercise, the health condition monitoring system is designed to determine the user's health condition by measuring heart rate and body temperature as parameters for decision-making by applying the Naïve Bayes method. The Naive Bayes method is rule-based with the python sci-kit-learn programming language and data communication with MQTT. From the study results, the Sports Health condition monitoring system has succeeded in providing monitoring results, condition prediction decisions, and the accuracy of the Naïve Bayes method by 75%.
Meningkatkan Kinerja Protokol Routing Aomdv Dalam Memilih Node Tetangga Berdasarkan Bandwidth, Round Trip Time, Dan Packet Loss Ratio Untuk Menemukan Rute Terbaik: Improving AOMDV Routing Protocol Choosing Neighboor Node Based on Bandwidth, Round Trip Time, and Packet Delivery Ratio to Choose the Best Route I Putu Gede Krisna Parwata; Andy Hidayat Jatmika; Ariyan Zubaidi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 6 No 2 (2022): December 2022
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v6i2.433

Abstract

Mobile ad hoc network or in short MANET is a group of node that exchange the information from source node to destination node on wireless network. The main problem in MANET is on the network structure that change continously that is cause by node mobility that made route disconnected. If route disconnect there will be another route discovery processes that will take much time. AOMDV (Ad hoc On-demand Multipath Distance Vector) routing protocol works by doing broadcast Route Request Packet (RREQ) from source node to neighbor node (intermediate node) and then it will continously until it arrives to destination node. AOMDV didnt choose the best neighbor node while broadcast RREQ packet so the route constructed have high possibility to disconnected and must re-broadcast until it find stable route and it will be a long time and not effective. To solve this problem it proposed to add a modification with AOMDV routing protocol with calculation of bandwidth, round trip time, and packet loss ratio to choose neighbor node to find the best route. Routing protocol performance will tested using test parameter throughput, delay, and packet delivery ratio to choose the best neighbor node. Based on test result, the proposed modification can improve the preformance of AOMDV routing protocol. After modification, average throughput has improved 43.26 %, Packet Delivery Ratio (PDR) improved 3.15 % and average end-to-end delay reduce 31.26%.