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All Journal Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknologi Pertanian Andalas
Khairil Agustoria
Universitas Andalas
Agriculture, Biological Sciences & Forestry Computer Science & IT

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RANCANG BANGUN MESIN SORTASI UNTUK PENDUGAAN KUALITAS BIJI KEDELAI MENGGUNAKAN PENDEKATAN SIFAT AKUSTIK Khairil Agustoria; Andasuryani Andasuryani; Santosa Santosa
Jurnal Teknologi Pertanian Andalas Vol 25, No 2 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jtpa.25.2.130-137.2021

Abstract

Penentuan harga jual kedelai di pasar tradisional Indonesia saat ini masih dilakukan secara manual yaitu berupa penilaian berdasarkan penampakan visual oleh tengkulak. Hal ini tentunya menyebabkan kesenjangan harga pasar kedelai. Penelitian ini bertujuan untuk menciptakan mesin sortasi untuk pendugaan kualitas biji kedelai menggunakan pendekatan sifat akustik dengan pengendali mikrokontroller arduino. Sensor akustik yang digunakan adalah sensor suara LM393. Mesin yang dibuat menggunakan prinsip angkut belt conveyor sederhana dengan tenaga penggerak motor stepper. Hasil analisis rancangan mesin menunjukkan kapasitas kerja mesin sebesar 1,431 kg/jam, torsi kerja sebesar 0,000085 Nm dan daya mesin sebesar 7,038 watt. Hasil pengujian data akustik pada kedelai dengan kadar air yang sama 10,65% dengan massa rata-rata 0,202 gram (Grade A) dan pengujian data akustik pada kedelai dengan massa rata-rata 0,165 gram (Grade B) masing-masing menghasilkan rata-rata nilai amplitudo sebesar 3671 mV dan 1993 mV. Berdasarkan uji statistik menggunakan metode Independent T-Test didapatkan nilai signifikansi sebesar 0,000 (P<0.05) menunjukkan perbedaan bobot kedelai memiliki pengaruh yang nyata terhadap data akustik biji kedelai.
PENDUGAAN MUTU BIJI KEDELAI BERDASARKAN SIFAT AKUSTIK PADA VARIASI TINGKAT KADAR AIR Agustoria, Khairil; Andasuryani
Jurnal Teknologi Pertanian Andalas Vol 29 No 2 (2025)
Publisher : Universitas Andalas

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Abstract

This study aims to estimate the quality of soybean seeds based on their acoustic properties at different moisture content levels as a rapid and non-destructive evaluation method. An experimental setup was developed using a sorting machine equipped with a microcontroller and an LM393 sound sensor to capture acoustic signals generated from the impact of soybean seeds on a reflector plate. The tested moisture contents were 10.65%, 13.65%, 16.65%, 19.65%, and 22.65%, in accordance with the SNI 01-3922-1995 standard. The results indicated that moisture content significantly affected the acoustic response of soybean seeds. As the moisture content increased, the detected acoustic voltage decreased. At the lowest moisture level (10.65%), the average amplitude was 3.617 mV, whereas at the highest moisture level (22.65%), it decreased to 3.135 mV. This reduction is attributed to the increase in seed elasticity (Modulus of Elasticity, MOE) caused by water absorption, which elevates the sound absorption coefficient and consequently reduces the propagation velocity of sound waves within the seeds. Statistical analysis confirmed that the differences in acoustic values among moisture levels were significant (P < 0.05). These findings suggest that acoustic properties can serve as an effective indicator for assessing soybean seed quality based on moisture content variation. Keywords: acoustics; amplitude; moisture content; soybean.
Monitoring Manajemen Irigasi Pada Budidaya Melon Berbasis IoT Irsyad, Fadli; Agustoria, Khairil
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 14 No 1 (2026): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v14i1.1231

Abstract

Uncertainty in irrigation water supply in agricultural land is often one of the main factors causing a decline in crop production capacity. Manual irrigation not only requires additional labor but also consumes considerable time, thereby reducing farmers’ work efficiency. Therefore, innovations are needed in the form of a more modern, efficient irrigation system capable of adjusting to crop requirements in real time. The main objective of this study is to develop a drip irrigation monitoring and control system based on the Internet of Things (IoT) to meet the water and nutrient needs of melon plants. The designed system utilizes a capacitive soil moisture sensor, a soil pH sensor, and a DHT-22 temperature and humidity sensor. All sensors are connected to an ESP32 microcontroller, which processes the data and automatically transmits it to a spreadsheet application for recording and monitoring purposes. The fertigation system has dimensions of 510 × 150 cm and applies drip irrigation technology controlled automatically based on soil moisture and soil acidity (pH) values. The results of the correlation analysis showed that the average coefficients of determination (R²) for the soil moisture sensor, soil pH sensor, and DHT-22 sensor were 0.8395, 0.9896, and 0.984, respectively. Plant observations indicated that the average plant height in the automated system was 48.19 cm, which was higher than the control plants at 43.69 cm. Thus, the IoT-based fertigation system proved to operate effectively, more efficiently, and with better performance compared to conventional methods.
ANALISIS EFISIENSI PENGGUNAAN AIR PADA SISTEM IRIGASI TERKONTROL BERBASIS IOT PADA BUDIDAYA TANAMAN MELON Khairil Agustoria; Ashadi Hasan; Vivi Yulianti
Jurnal Teknologi Pertanian Andalas Vol 30 No 1 (2026)
Publisher : Universitas Andalas

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Abstract

Penelitian ini bertujuan untuk menganalisis efisiensi penggunaan air pada sistem irigasi tetes berbasis Internet of Things (IoT) dalam budidaya tanaman melon. Sistem irigasi dirancang menggunakan mikrokontroler ESP32 yang terintegrasi dengan sensor kelembapan tanah dan pH tanah untuk mengendalikan proses penyiraman secara otomatis berdasarkan kondisi aktual media tanam. Data penggunaan air diperoleh dari pencatatan durasi hidup pompa secara otomatis, kemudian dihitung menjadi volume air irigasi berdasarkan laju aliran pompa sebesar 0,05 liter/detik dan direkapitulasi selama periode pengamatan 30 hari. Hasil penelitian menunjukkan bahwa sistem irigasi berbasis IoT mampu menghemat penggunaan air sebesar 8,74% dibandingkan sistem irigasi manual, dengan efisiensi penggunaan air mencapai 91,26%. Meskipun menggunakan volume air yang lebih rendah, sistem irigasi IoT menghasilkan pertumbuhan tanaman yang lebih baik, ditunjukkan oleh peningkatan tinggi tanaman dan percepatan masuk ke fase generatif, dengan jumlah tanaman berbunga sekitar 3,5 kali lebih banyak dibandingkan perlakuan irigasi manual. Hasil ini menunjukkan bahwa penerapan sistem irigasi cerdas berbasis IoT efektif dalam meningkatkan efisiensi penggunaan air sekaligus mendukung pertumbuhan dan perkembangan tanaman melon secara optimal, sehingga berpotensi mendukung praktik budidaya pertanian yang lebih efisien. Kata kunci — efisiensi air; Internet of Things; irigasi tetes; pertanian cerdas; tanaman melon
Co-Authors - Andasuryani Ashadi Hasan Fadli Irsyad Santosa Santosa Vivi Yulianti