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Figur Muhammad
Universitas Megarezky
Computer Science & IT

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AN EVALUATION OF THE POWER SUPPORT INTERNET INFRASTRUCTURE OF MAKASSAR CITY IN TELEMEDICINE FRAME Figur Muhammad; Andani Achmad; Adnan Adnan; Abdul Mubarak; Abdul Muis
JIKO (Jurnal Informatika dan Komputer) Vol 7 No 1 (2024)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i1.7785

Abstract

This research aims to find the quality of the internet in Makassar City. It uses a 10 Mbps service from Indihome to support telemedicine. The study is a case study of sending raw MRI image data to the AWS cloud. The research uses a virtual server from the AWS cloud. It stores raw MRI image data. The data will be sent via the FTP client FileZilla. The tests were carried out eight times. They used the quality of service standard formula from TIPHON. The results come from 8 tests. In the tests, MRI image data was sent to the AWS cloud. The results show that the average throughput value was 4.53 Mbps with an index of 4. This result is excellent. Packet loss is low at 0.01% with an index of 4, which is very good. The delay is 1.7 ms with an index of 3, which is good. The jitter is 1.69 ms with an index of 3, which is good. The quality of service test results are based on TIPHON standards. They show that sending Raw MRI image data to the AWS cloud at 10 Mbps from Indihome in Makassar City is good.
SMART WATER PUMP DESIGN USING DECISION TREE FOR IOT-BASED AUTOMATIC FRUIT PLANT IRRIGATION Figur Muhammad; Ramdana Ramdana
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 1 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.8893

Abstract

The continuous growth of the population each year increases the demand for adequate food supplies, while land for cultivation is becoming more limited. One solution to this issue is the technique of growing fruit in pots (tabulampot). Irrigating potted plants is a crucial maintenance stage, where deficit irrigation can help manage fruit quality. However, manual watering by farmers is time-consuming and labor-intensive, necessitating an automation system. This research aims to design and build a smart water pump system based on the Internet of Things (IoT) using a Decision Tree algorithm to monitor and irrigate potted fruit plants. The designed system can irrigate plants based on predetermined times and soil moisture conditions. Utilizing IoT technology, this system can be accessed and controlled via smartphone. The research results indicate that the system operates automatically, with the ability to monitor soil moisture and irrigate based on real-time sensor data. The implementation of this system is expected to enhance the efficiency of potted plant care and reduce farmers' workload.
Co-Authors Abdul Mubarak Abdul Muis Adnan Adnan Andani Achmad Ramdana Ramdana