Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Agricultural and Biosystem Engineering Research
Muna, Mukhes Sri
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Control & Systems Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering

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

Found 2 Documents
Search

 1 
Analisis Kebutuhan Alat dan Mesin Pertanian Padi di Desa Sokaraja Lor untuk Mewujudkan Pertanian Mekanis Jaya, Gigieh Henggar; Wiratmoko, Ardan; Hita, Muhammad Arga; Brillyansyah, Degita Fahmi; Muna, Mukhes Sri; Novitasari, Dian; Furqon, Furqon; Mustofa, Asna
Journal of Agricultural and Biosystem Engineering Research Vol 6 No 1 (2025): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2025.6.1.15875

Abstract

Pertanian tidak hanya menjadi industri penyedia sumber bahan pangan, tetapi juga pemegang peran sentral dalam berjalannya roda perekonomian di Indonesia sebagai penyedia lapangan pekerjaan. Di Indonesia kegiatan pertanian didominasi dengan budidaya tanaman padi yang merupakan tanaman penghasil beras sebagai sumber makanan pokok mayoritas masyarakat di Indonesia. Kebutuhan beras yang tinggi di Indonesia, perlu diimbangi dengan penerapan teknologi seperti mekanisasi. Desa Sokaraja Lor merupakan sebuah desa yang memiliki potensi pertanian yang tinggi dengan luasan lahan sawah selebar 101 Ha. Akan tetapi, Pemerintah Desa dan Kelompok Tani Desa Sokaraja Lor masih belum memiliki alat dan mesin pertanian untuk pengolahan tanah, penanaman, dan pemanenan. Adapun hasil analisa yang telah dilakukan menunjukkan kebutuhan alat dan mesin untuk pengolahan tanah adalah traktor roda dua kelas besar sebanyak 2 unit dan traktor roda empat kelas sedang sebanyak 5 unit. Untuk tahapan penanaman membutuhkan transplanter tipe dorong kelas B sebanyak 4 unit. Proses pemanenan memerlukan combine harvester kelas C sebanyak 1 unit.
Klasifikasi Kematangan Buah Kelapa Sawit Menggunakan Model Yolov8 Berbasis Deep Learning Muna, Mukhes Sri; Setiyo, Yohanes; Wirawan, I Putu Surya; Syarovy, Muhdan; Jaya, Gigieh Henggar
Journal of Agricultural and Biosystem Engineering Research Vol 6 No 1 (2025): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2025.6.1.15953

Abstract

Determining the ripeness level of oil palm fruit is a crucial aspect in enhancing the efficiency and quality of palm oil production. To date, most ripeness classification processes are still manually conducted, leading to inconsistencies and human error. This study aims to develop an oil palm fruit ripeness classification model using YOLOv8, a state-of-the-art deep learning architecture known for its excellence in computer vision tasks. The dataset consists of six ripeness classes, divided into training, validation, and testing sets sourced from the Roboflow platform. The training process involved five YOLOv8 sub-models with optimized parameter configurations. Evaluation was carried out using MAPE and confidence score metrics to measure prediction accuracy. The results showed that all sub-models successfully classified fruit ripeness with high accuracy, with YOLOv8l-cls achieving the lowest MAPE value of 0.01167. These, confirm that the YOLOv8-based approach is highly effective in supporting automated classification of oil palm fruit ripeness, offering faster, more accurate, and consistent results, and holds strong potential for widespread application in the plantation industry.
Co-Authors Asna Mustofa Brillyansyah, Degita Fahmi Dian Novitasari Furqon Furqon, Furqon Henggar Jaya, Gigieh Hita, Muhammad Arga I Putu Surya Wirawan Muhdan Syarovy Wiratmoko, Ardan Yohanes Setiyo