Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Hilirisasi IPTEKS (JHI)
Maidi Rizki
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Dentistry Engineering Health Professions Public Health Veterinary Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perancangan Kontrol Dan Monitoring Level Ketinggian Air Di Waduk Bagian Hulu Untuk Meningkatkan Efektifitas Kinerja PLTA Koto Panjang Maidi Rizki; Rahyul Amri
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 1 (2016): Wisuda Februari Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Activity monitoring water levels in reservoirs hydropower Koto Panjang are generally still done conventionally, that is reading of a sign of watershed mounted on the reservoir by way of a return of the power house to a reservoir which on avarage carried done three times a day, because of that is needed design control and monitoring level of water level by using ultrasonic sensor which is controlled from long distance 50 cm minimally until 10 m. The result of reading sensor are sent to microcontroller Arduino Uno for processed and sent by HT and displayed in PC. For displaying the data which received in monitor screen use software of LabView 2012. From the result sensor testing MB7366 able controlling the water level with error presentation 0.011% which is compared with a sign of watershed conventionally in reservoir and added with high time efficiency. From the result of comparison reading water elevation, reading from ultrasonic sensor can improve plant performance 0.03%.Keywords : Ultrasonic Sensor, Arduino Uno, LabView
INOVASI TEKNOLOGI MACHINE LEARNING BAGI MASYARAKAT DI EKOWISATA SUNGKAI GREEN PARK NAGARI LAMBUNG BUKIT KECAMATAN PAUH PADANG Maidi Rizki; Zaini Zaini; Muhammad Aditya Nikhaldo; Tesya Uldira Septiyeni; Teddy Yuliswar
Jurnal Hilirisasi IPTEKS Vol 5 No 1 (2022)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v5i1.577

Abstract

Most of the people who live in urban areas have an increasing need for food. One of the activities that can utilize land and resources in urban areas is urban farming. One example is the Sungkai Green Park Ecotourism in Nagari Lambung Bukit, Pauh Padang District, which has various types of plants that are very useful. However, due to the many and varied plants, farmers experience difficulties in terms of plant maintenance. Therefore, this journal aims to classify weeds and plants, in order to facilitate farmers in plant care. The method that will be applied uses machine learning with image processing to separate weeds and plants which can reduce manual work visually. Image analysis accurately detects areas of identified weeds. Each image has a different pattern and spatial distribution and can be detected using the GLCM technique. This technique represents the relationship between two conflicting pixels in the image. Overall, the image is taken using a webcam which is positioned vertically against the sample plant at low brightness conditions so that it can be processed accurately in machine learning. This GLCM feature is able to extract images to separate weeds and plants by using a texture matrix from the image. The output of the matrix in the form of parameters mean, skewness, kurtosis, entropy, contrast, and energy. These parameters are used to obtain a value for plants so that weeds can be distinguished from plants. The results of this journal can provide early information to farmers to immediately carry out plant maintenance.
Co-Authors Muhammad Aditya Nikhaldo Rahyul Amri Teddy Yuliswar Tesya Uldira Septiyeni Zaini Zaini