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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL NASIONAL TEKNIK ELEKTRO
Tri Wanda Septian, Tri Wanda
Sriwijaya University
Computer Science & IT Electrical & Electronics Engineering

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Real Time Environmental Monitoring in Palm Oil Plantation Using Wireless Sensor Network Malik, Reza Firsandaya; Hafiz, Muhammad; Nopransyah, Achmad; Zalbina, Muhammad Reyhan; Septian, Tri Wanda
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.549

Abstract

The production of the palm oil accounted for 10.15% of total palm oil production in Indonesia. Farmland monitoring system is designed to determine the condition of temperature and soil moisture on oil palm plantation. In this study, we design and build a Wireless Sensor Network (WSN) with fitted temperature and moisture sensors for monitoring soil quality. The process of temperature and moisture data communication from sensor nodes to the sink using a routing protocol that named Power-Efficient Gathering in Sensor Information Systems (PEGASIS). The routing process in the PEGASIS is the nodes will form a chain by selecting a leader node as a gateway. The development of WSN is composed of 3 nodes and 1 sink with three different scenarios. The first scenario is placed moisture sensors on three nodes (single sensor), the second is placed the temperature sensors on three nodes (single sensor) and the third is placed moisture sensor on two node and one node equiped by temperature sensor (multi sensor). The evaluation of WSN communication using the PEGASIS routing protocol compared to the direct transmission using delay, packet loss and energy have done. The results obtained are the difference between the lifetime sensor nodes between direct transmission and the pegasis is 7 minutes time difference. For the average delay of PEGASIS and direct transmission is 31.23 and 30.92 ms respectively. All transmission in both scheme have packet loss 0%. Conclusion, the WSN has successfully implemented with longer life time energy using PEGASIS than direct transmission methods.
Features of Household Solid Waste Object Recognition on Garbage Collector Robot (GACOBOT) Abdurahman; Prasetyo, Aditya Putra Perdana; Rendyansyah, Rendyansyah; Exaudi, Kemahyanto; Abdurahman, Abdurahman; Septian, Tri Wanda
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.771 KB) | DOI: 10.25077/jnte.v10n3.834.2021

Abstract

Solid waste or garbage is one of the problems that must be faced by the world's population so that life becomes more harmonious. Through a series of studies, a Garbage Collector Robot (GACOBOT) was created which is expected to help humans overcome this problem in terms of garbage collection. By adding a feature in the form of object recognition, the waste can be sorted by type so that it can be grouped and processed further. In this research, using the Support Vector Machine (SVM) classification method based on the feature extraction of the Histogram of Oriented Gradients (HOG) as the main method. Researchers used 14 pieces of data as training data and 10 pieces of data as test data. From the results of the tests that have been carried out, it has been obtained a success rate of 100% that the system has succeeded in separating waste into 2 types, namely plastic bag waste and glass bottle waste.
Co-Authors Abdurahman Achmad Nopransyah, Achmad Hanung Adi Nugroho Kemahyanto Exaudi Muhammad Hafiz Muhammad Reyhan Zalbina, Muhammad Reyhan Rendyansyah Reza Firsandaya Malik