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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Journal of Tropical Biodiversity and Biotechnology Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Agrifarm Journal of Agricultural and Biosystem Engineering Research Nanggroe: Journal Of Scholarly Service Nanggroe: Journal of Scholarly Service Jurnal Agroindustri Terapan Indonesia
Wahab, Luthfi
Nahdlatul Ulama University Of Purwokerto
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Evaluasi Kesesuaian Lahan untuk Budidaya Durian Bawor di Kabupaten Banyumas Menggunakan SIG Berbasis IoT Wahab, Luthfi; Kurniawan, Anri; Lestari, Hanis Adila
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 13 No 1 (2025): 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.v13i1.1138

Abstract

Durian, known as the "King of Fruits," is a prevalent fruit in Indonesia, thriving in the tropical climate of Southeast Asia. One of the most widely cultivated varieties is Bawor, commonly found in Banyumas Regency, Central Java, producing 95,426 quintals in 2024. The price of Bawor durians ranges between Rp. 85,000 to Rp. 120,000 per fruit, weighing between 2 to 4 kg. Durian grows optimally in lowland areas up to 180 meters above sea level, with a humid climate, air temperatures of 25-32°C, humidity levels of 50-80%, and sunlight intensity of 45-50%. The research aims to build an information system called "SiDurIoT" based on the Internet of Things (IoT) integrated with a Geographic Information System (GIS) to evaluate the suitability of Bawor durian land. Land evaluation is classified S1, S2, S3, and N. Durian Information System with Internet of Things "SiDurIoT" is a device designed to measure the suitability of durian orchards in real-time. The device consists of a DHT22 sensor, a wind speed sensor, and GPS connected to the ESP32, with data displayed on an LCD screen. The device is connected to the internet via the website siduriot.my.id and the "SiDurIoT" smartphone application, which allows users to input measurement data. The results of the land suitability assessment show that wind speed, rainfall, soil pH, soil temperature, and land elevation are highly suitable (S1). In contrast, air temperature is suitable (S2), and humidity and sunlight intensity are marginally suitable (S3). Based on the suitability evaluation, the Kemranjen, Sumpiuh and Tambak areas are the most suitable locations for durian plantations because they have productivity above 10,000 quintals and are very suitable (S1).
PERANCANGAN SISTEM PEMBERIAN PAKAN IKAN OTOMATIS UNTUK IKAN LELE SANGKURIANG (Clarias gariepinus) BERBASIS INTERNET OF THINGS (IoT) PADA BUDIDAYA BIOFLOK Kurniawan, Anri; Ferdiansyah, Erlando; Wahab, Luthfi
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.2025.6.1.15989

Abstract

Lele merupakan jenis ikan air tawar yang populer dibudidayakan di Indonesia, mengingat pertumbuhan cepat dan toleransi tinggi terhadap lingkungan. Lele sangkuriang (Clarias gariepinus) adalah salah satu jenis lele memiliki pertumbuhan sangat cepat dengan konversi pakan yang lebih efisien dengan tingkat keberlangsungan hidup (survival rate) tinggi dibandingkan jenis lainnya. Tujuan penelitian ini adalah merancang pemberian pakan ikan otomatis berbasis internet of things (IoT) untuk budidaya ikan lele sistem bioflok. Metodologi penelitian menggunakan rancang bangun yang terdiri dari studi literatur, perancangan hardware, software, uji coba dan analisis data. Perhitungan menggunakan efisiensi pakan (%) dan Feed Convertion Ratio (FCR). Komponen elektronik sistem pemberian pakan ikan otomatis terdiri dari motor servo yang dikendalikan oleh mikrokontroler ESP32 kemudian ditampilkan pada LCD berdasarkan Real Time Clock (RTC) dapat di-setting melalui aplikasi Catfish Feeder IoT di Adafruit.io. Aplikasi dapat menentukan jadwal pemberian pakan pada pukul 06.00, 15.00 dan 20.00 WIB dengan dosis 250 gram dengan kapasitas 5 kg. Nilai Feed Conversion Ration (FCR) pakan ikan otomatis 2, 1 lebih kecil daripada manual yaitu 2,5 sehingga sistem pemberian pakan ikan otomatis lebih efisien sebesar 47,6%.
Pemanfaatan Sistem Informasi Geografis Untuk Pemetaan Lahan Pertanian di Kecamatan Kembaran, Banyumas, Jawa Tengah : The Utilization of Geographic Information Systems for Agricultural Land Mapping in Kembaran District, Banyumas, Central Java Wahab, Luthfi; Kurniawan, Anry
Jurnal Agroindustri Terapan Indonesia Vol. 1 No. 1 (2023): July 2023
Publisher : Department of  Agriculture, Subang State Polytechnic, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31962/jati.v1i1.119

Abstract

Kembaran District is one of the districts located in Banyumas Regency, Central Java Province, Indonesia. Kembaran District has a total area of approximately 126.74 km² and consists of 15 villages. The majority of the population in Kembaran District work as farmers, with agriculture being one of the main economic sectors. Rice, corn, and other crops are common agricultural commodities in this area. This research aims to map the potential agricultural land in Kembaran District, Banyumas, Central Java using Geographic Information System (GIS). The method used in this research is a descriptive method to analyze and match the data of the study area with the criteria. In this research, spatial data is obtained from various sources, including satellite imagery, topographic maps, and field data. The attribute data of the land is the agricultural land area. Subsequently, the data is processed and analyzed using GIS software to map agricultural land in Kembaran District. The results of the research show that the use of GIS in mapping agricultural land in Kembaran District can provide accurate information about the distribution of land in the area. The findings of this research have important implications for the management of agricultural land in Kembaran District and its surrounding areas. The results of overlay analysis between village boundaries and agricultural land in Kembaran District yielded the following results: the village with the largest agricultural land area is Purwodadi Village with an area of 186.29 Ha, and the village with the smallest agricultural land area is Sambeng Wetan Village with an area of 59.67 Ha. Meanwhile, the average agricultural land area of the 16 villages in Kembaran District is 117.72 Ha.
Automated Conveyor System of Sorting and Grading for Red Chili Pepper (Capsicum annum L.) using Image Processing and Artificial Neural Network Lestari, Hanis Adila; Kurniawan, Anri; Wahab, Luthfi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 4 (2024): December 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i4.1320-1333

Abstract

This research aims to design an automatic sorting and grading tool driven by color sensor processed through image processing and artificial neural networks (ANN). The research stage consists of data collection in a Mini Studio, image processing using ImageJ, and image classification with ANN. The automatic sorting process begins with items entering the belt, where they are processed in four phases: (1) separating good and rejects chili, (2) separating red from green chili, (3) distinguishing large and small red peppers, and (4) separating large and small green peppers. Automatic sorting and grading were based on image data processed using ANN. The best activation function was tansig-logsig-purelin with MAPE 1.220, RMSE 0.010, and R² = 1 during training. During testing, the MAPE 0.158, RMSE 1.790, and R² = 0.963. The criteria produced grade 1 (red, 10-15 cm), grade 2 (green, 10-15 cm), grade 3 (red, 5-9.99 cm), and reject grade. The quality of large red chilies is used as a reference for market pricing: grade 1 (IDR 60,000/kg), grade 2 (IDR 40,000/kg), and grade 3 (IDR 25.000 – 35,000). Assessing quality based on color with an automatic conveyor can reduce sorting and grading time by 70% compared to conventional methods. Keywords: ANN, Color, Grading, Image Processing, Sorting.
Co-Authors Aditya Hani Adityo Nugroho, Adityo Agung Prasetyo Atmaja, Muhammad Bima Dheni Atmiasih Eko Pujiono Fenny Aprilliani Fenny Aprilliani Ferdiansyah, Erlando Fitri Kurniawati Hanis Adila Lestari Herningtyas, Wieke Humaida, Nida Iryadi, Rajif Jayawarsa, A.A. Ketut Kavadya Syska Kurniawan, Anri Kurniawan, Anry Lestari, Hanis Adila Luhsarandini, Bivannie Reni Setyo Wahyuningtyas Reza Kusuma Nurrohman Ropiudin . Saputra, Muhammad Hadi Slamet Sulistiadi Sukmawati, Jalma Giring SUKOWATI, DWI SUTOMO Sutomo Sutomo Yuwono, Triat Adi