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All Journal Teknotan: Jurnal Industri Teknologi Pertanian Jurnal Keteknikan Pertanian Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian Jurnal Dampak agriTECH Jurnal Sains dan Teknologi Pangan Journal of Applied Agricultural Science and Technology Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian JURNAL AGROHITA Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Hilirisasi IPTEKS (JHI) Buletin Ilmiah Nagari Membangun Jurnal Teknologi Pertanian Andalas Rona Teknik Pertanian
Renny Eka Putri, Renny Eka
Universitas Andalas
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Veterinary Other

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Journal : agriTECH

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Model Prediksi Hasil Panen Berdasarkan Pengukuran Non-Destruktif Nilai Klorofil Tanaman Padi Fitri Hidayah Nasution; Santosa Santosa; Renny Eka Putri
agriTECH Vol 39, No 4 (2019)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.452 KB) | DOI: 10.22146/agritech.34893

Abstract

Developing yield prediction model was done to predict the production of rice crops based on chlorophyll value at different age levels. A model was developed by using spatial variability data of chlorophyll value. It was measured with a non-destructive method by using chlorophyll meter CCM-200 plus at different age levels in terms of days after planting 25, 40, 60 and 70 (DAP), and yield of rice. The objective of developing yield prediction model was to describe correlation between chlorophyll value and yield at different ages that had been obtained from 20 observation plots at the rice field. The study area was in Banda Langik, Sungai Bangek village, Lubuk Minturun of Koto Tangah sub district in Padang. Data were collected in two systems; grid sampling point and crop cutting test (CCT). Measuring of chlorophyll contained in leaf or number of SPAD (soil plant analysis development) was done by using chlorophyll meter CCM-200 plus. The research showed that chlorophyll value in rice crop correlated with yield. It was proved by correlation index obtained in each stage of age; 25 DAP (r = 0.945), 40 DAP (r = 0.887), 60 DAP (r= 0.835) and 70 DAP (r= 0.897). Rice yield could be predicted through following model: Y = -0.431513 + 0.045144 X1 + 0.03645 X2 + 0.01017 X3 + 0.020551 X4, where Y was the rice yield (kg/m2) and X was chlorophyll value at different age levels (X1=25 DAP), (X2=40 DAP), (X3=60 DAP) and (X4= 70 DAP). The model was produced through a multiple linear regression test based on chlorophyll value data and rice productivity during 1 period of harvest session.
Pengembangan Sistem Otomatisasi pH Larutan Nutrisi pada Hidroponik Sistem DFT (Deep Flow Technique) Berbasis IOT Renny Eka Putri; Afifah Khainur; Andasuryani Andasuryani
agriTECH Vol 43, No 3 (2023)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.71305

Abstract

 Hidroponik merupakan teknik budidaya di bidang pertanian yang sesuai dengan keadaan saat ini, terutama di Indonesia dimana lahan pertanian semakin menyusut akibat ekspansi industri. Teknik budidaya ini menggunakan air sebagai media tanam dan efektif pada lahan terbatas. Meskipun hidroponik meminimalkan perawatan yang dibutuhkan tanaman, pemantauan rutin terhadap larutan nutrisi tetap penting. Tujuan dari penelitian ini adalah untuk mengembangkan sistem pemantauan dan pengendalian larutan nutrisi hidroponik DFT berbasis Internet of Things (IoT) pada kangkung. Sistem kendali yang digunakan adalah sensor pH sebagai pendeteksi nilai pH larutan, Arduino Uno sebagai mikrokontroler, modul ESP 8266 sebagai modul wifi, dan aplikasi Blynk sebagai platform IoT dan kontrol PID. Hasil kalibrasi sensor pH dengan membandingkan nilai sensor pH dengan pH meter pada larutan buffer memberikan nilai R 2 sebesar 0,9997, sedangkan nilai sensor pH selama 18 hari memberikan nilai R 2 sebesar 0,9908 dengan hasil error sebesar 0,274%. Hasil penelitian menunjukkan bahwa sensor pH bekerja dengan baik dan akurat. Pengontrol PID sistem ini adalah Kp=2. 1; Ki = 0,05; dan Kd = 0,03. Pemeriksaan kondisi pabrik di 60 tanaman (30 kangkung dengan sistem kendali dan 30 kangkung tanpa sistem kendali). Pengamatan pada 18 hari setelah tanam (HSS) menunjukkan bahwa kubis dengan sistem kontrol memiliki tinggi batang 40,50 cm dan 18 helai daun serta hasil 1,064 kg, sedangkan kangkung tanpa sistem kontrol memiliki tinggi batang 35,66 cm dan 16 helai daun. Berdasarkan hasil penelitian, sistem pengendalian yang diterapkan pada tanaman kangkung hidroponik memberikan pengaruh yang baik terhadap pertumbuhan dan perkembangan tanaman kangkung dibandingkan dengan tanaman kontrol.
Co-Authors - Andasuryani Abdi Lubis, Muhammad Iqbal Abdullah Habib Ade Sandri Afifah Khainur Agus Hermansyah Alhapen Ruslin Chandra Ali Anwar Delimunthe Alifa Azanisya Azzahra Andri Syaputra Angela Fortuna Sekarini Aninda T. Puari Annisa Lestari Simanjuntak Ashadi Hasan Azkiya Wahyu Novianda Azrifirwan, Azrifirwan Azzahra, Alifa Azanisya Baehaqi Butar Butar, Angelia Celsy Lovena Cherie Dinah, Cherie Dellia Asdinisa A.S Dhiya Ulwafi Elfy Adelliana Elroza Wulandari Fachri Ibrahim Nasution Fadhli Anas Fadli Hafizulhaq Fadli Irsyad Feri Arlius Fitri Hidayah Nasution Genni Deea Solehia Gizhella Mulyani Putri Gurning, Melia Elius Putri Halimatus Syahdia Hasibuan Hammam Mananda Harahap Harahap, Hammam Mananda Harahap, Wenti Hiero, Kemal Muhammad Ifmalinda Ilga Putri Maharani Imanuela, Claresta Intan Pratiwi Irriwat Putri J P Geraldo Joko Prastio Kemal Muhammad Hiero Khandra Fahmy Lisa Silvia Ningsih Liza Mardalena Lubis, Mei Mardhiani Madani Putra Maharani, Ilga Putri Maulana, Dwipa Islam Melia Elius Putri Gurning Mislaini Mislaini Mislaini Rahman Mohammad Agita Tjandra Muahammad Zacky Muhammad Iqbal Abdi Lubis Muhammad Iqbal, Muhammad Iqbal Muhammad Makky Muhammad Mizwardi Nadian Nadian Najeli Rahmatika Naufal Ilhamdi Rozaaq Nindi Elisa Oktavionry, P.A Omil Charmyn Chatib P.A Oktavionry Putri, Annisa Octaviani Putri, Gizhella Mulyani Putri, Irriwad Putri, Rahmi Dwi Rahmi Dwi Putri Rapon Anam Rauzatul Mirizal Jannah Renny Renny Rise Prana Sari Rizka Fadhilah Rizka Fadhilah Roni Andika Putra Roy Saputa ROY SAPUTRA Rozaaq, Naufal Ilhamdi Ryan Anugerah Perdana Salwa, Mutiara Santosa - Santosa Santosa Santosa Santosa Santosa Santosa Santosa Santosa Santosa Santosa Saputa, Roy Satria Adi Surya Sekarini, Angela Fortuna Shakira Azzura Syaidev Sherly Rahmadenita Siona, Vasya Azzahra Syahrizal Lubis Turnando, Ardi Vasya Azzahra Siona Widi Darmadi Widya Annisa Winda Fauzia Wiranda Erza Pratama Wirna Nepis Yanti, Delvi Yuharfiandri Yuharfiandri