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Ebban Bagus Kuntadi
Program Studi Agribisnis Fakultas Pertanian Universitas Jember
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Pengembangan Hasil Inovasi Teknologi Mie Instan ”Carika Pepaya Noodle” sebagai Penguat Diversifikasi Pangan Non Beras Kuswardahni, Nita; Kuntadi, Ebban Bagus; Agustina, Titin
Cakrawala Vol. 12 No. 2: Desember 2018
Publisher : Badan Riset dan Inovasi Daerah Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32781/cakrawala.v12i2.273

Abstract

Penelitian ini bertujuan untuk; pertama, mengenalkan kepada masyarakat terkait pemanfaatan pepaya menjadi produk mie instan sebagai upaya penguatan diversifikasi pangan non beras; kedua untuk melihat daya terima masyarakat terhadap produk mie instan carica papaya; ketiga untuk mengidentifikasi faktor pendorong dan faktor penghambat pemanfaatan mie carica papaya dalam penguatan diversifikasi pangan non beras. Lokasi penelitian ini ditentukan secara sengaja yaitu di Kabupaten Lamongan, Lumajang dan Jember. Metode analisis dalam penelitian ini menggunakan analisis statistik deskriptif, uji sensori (rasa, aroma, tekstur dan warna) daya terima masyarakat terhadap produk carica papaya. Hasil penelitian menunjukkan bahwa tingkat kehadiran peserta kegiatan sosialisasi dan praktek pembuatan Mie Carica Pepaya adalah 100%, seluruh peserta menyatakan puas terhadap pelaksanaan kegiatan. Hasil uji organoleptik terhadap “Mie Instan Carica Papaya” menunjukkan bahwa sebesar 84,67 % responden menyukai tekstur, 78,54% responden menyatakan suka dengan warna, 85,89% responden menyatakan suka terhadap rasa, 66,88% responden kurang menyukai aroma.
Kelayakan Finansial Proyek Investasi Pengebunan Jeruk Keprok Batu 55 Secara Monokultur di Wilayah Kabupaten Banyuwangi Supriono, Agus; Atrianto, Jovi Lutvi; Faidah, Ainun; Kuntadi, Ebban Bagus; Hasanah, Julita
KUBIS Vol 5 No 02 (2025): November
Publisher : Program Studi Agribisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/kub.v5i02.4851

Abstract

The demand for imported tangerines, especially Mandarin tangerines, has continued to increase domestically over the years. However, there is also a local variety of tangerine whose appearance, flavor, and aroma are relatively similar to those of the Mandarin tangerine, and it is said to have great potential to become a strong competitor in the domestic market — the Batu 55 tangerine. The ideal environmental conditions for cultivating Batu 55 tangerines are in highland areas with altitudes ranging from 700 to 1,200 meters above sea level. Nevertheless, due to its promising market prospects, several farmers in lowland areas (below 700 meters above sea level), such as in Sembulung Village – Cluring District – Banyuwangi Regency – East Java Province, have begun to show interest in cultivating it as a monoculture crop. Since the cultivation is being developed in lowland areas, it is important to question its financial feasibility. Research results show that: (a) a monoculture Batu 55 tangerine plantation investment project per hectare in Banyuwangi Regency, with a planting distance of 5 x 5 meters, using seedlings propagated vegetatively (cuttings), an estimated economic lifespan of 16 years, base year set in 2011, and a discount rate/discount factor (df) of 9% per year, is considered financially feasible; (b) if there is a decrease in production quantity and average selling price by up to 30%, the investment project becomes financially infeasible; and (c) if operational variable costs increase by up to 30%, the investment project remains financially feasible.. Keywords: Banyuwangi, Batu 55, Feasible, Financial, Monoculture, Orange, Tangerines
Kinerja Convolutional Neural Network untuk Klasifikasi Level Kadar Air Tanah Berdasarkan Gambar Permukaan Tanah Hasbi Mubarak Suud; Subhan Arif Budiman; Ebban Bagus Kuntadi; Dwi Erwin Kusbianto; Ika Purnamasari
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.571-579

Abstract

Computer vision offers a promising method for soil moisture assessment especially for real-time field monitoring where sensor-based measurements are limited. This study evaluates the performance of a traditional Convolutional Neural Network (CNN) and ResNet-50 architecture for classifying soil moisture levels directly from in-situ surface images. The research involved 200 field-captured images and corresponding moisture data from a rainfed agricultural area. The models were trained with datasets grouped into two, three, and four moisture categories to test performance under varying complexity. The results showed poor model performance, characterized by high instability and severe overfitting across all experiments. Model accuracy for the traditional CNN significantly decreased from 0.513 to 0.256 as the number of classification categories increased and from 0.487 to 0.205 for ResNet-50. High RMSE values from 0.433 to 0.507 further confirmed substantial prediction errors. This finding highlights the limitation of RGB-based in-situ imagery for soil moisture classification, where environmental variability dominates the visual signal. It also suggests that soil moisture-related features are not sufficiently distinguishable under uncontrolled field conditions. The study concludes that the high variability of direct field images due to factors like inconsistent lighting, illumination, and the presence of non-soil objects is a primary obstacle to accurate classification. Future studies should implement advanced pre-processing techniques such as segmentation to reduce illumination noise.
Pemberdayaan Komunitas Wanita Tani dalam Mendukung Desa Songgon sebagai Sentra Durian di Kabupaten Banyuwangi Dwi Erwin Kusbianto; Hasbi Mubarak Suud; Subhan Arif Budiman; Ika Purnamasari; M Rondhi; Ebban Bagus Kuntadi; Rokhani Rokhani
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 3 (2025): Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.11.3.478-486

Abstract

Songgon is known as a favorite durian-producing village in Banyuwangi Regency. However, in the last 3 years, durian farmers have been suffering because they failed to experience a bumper harvest. The purpose of this service is to initiate the restoration of the image of Songgon Village as the center of Banyuwangi durian through the provision of quality local Songgon durian seeds. The partner of this community service is the wives of farmers in the village or also called Wanita Tani. Community service methods was using counseling and educational methods, along with training in seedling cultivation skills, followed by assistance in seedling care. A series of activities carried out include: 1) Increasing financial literacy to Women Farmers so that in the future they can face crises if crop failure recurs in the future; 2) Empowerment of farm women in terms of producing rootstocks (durian seedlings from seeds) for side income of Farm Women during the service activities; 3) Grafting training with rootstocks that have been produced and the scion comes from the local durian of each farmer's garden; The results of the activity are introduction people about financial literacy for the target group; Increased skills in the form of the ability to produce seeds independently; As well as the formation of a community with one of the inventories in the form of a planting hole maker that can be rented out to durian farmers in Songgon Village. However, this service has not been able to increase the income of farm women directly because there has been no sale of the seeds produced, but institutional initiation in marketing seeds has been carried out.
DAYA SAING KARET ALAM MANUFAKTUR INDONESIA DI PASAR INTERNASIONAL TAHUN 2000-2020 Titin Agustina; Tafvian Devara Efendy; Mutiara Ria Despita Maharani; Ati Kusmiati; Yuli Hariyati; Ebban Bagus Kuntadi; Agus Supriono
Jurnal Agribisnis Indonesia Vol. 12 No. 1 (2024): Juni 2024 (Jurnal Agribisnis Indonesia)
Publisher : Departmen of Agribusiness, Economics and Management Faculty, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jai.2024.12.1.190-201

Abstract

Penelitian ini mengenai daya saing dalam komoditas karet alam manufaktur yang meliputi karet TSNR (Technically Specified Natural Rubber), karet RSS (Rubber Smooked Sheets), dan karet sarung tangan atau karet kompon dalam periode waktu tahun 2000-2020. Alat analisis yang digunakan dalam melakukan perbandingan eksportir utama atau negara pesaing komoditas tersebut ialah Revealed Comparative Advantage (RCA) dan untuk mengetahui seberapa besar pengaruh ekspor Indonesia terhadap komoditi karet alam manufaktur tersebut ke negara tujuan serta di dunia ialah Market Share Index (MSI). Hasil penelitian menunjukkan bahwa, nilai daya saing setiap komoditas karet alam manufaktur Indonesia memiliki daya saing kuat dengan RCA>1 pada karet TSNR, RSS, dan sarung tangan. Akan tetapi, Indonesia hanya mampu mendominasi karet TSNR jika dibandingkan dengan negara Thailand dan Malaysia serta ekspor ke negara tujuan seperti Amerika Serikat, Jepang, dan China sebagai importir terbesar karet manufaktur. Sedangkan karet RSS hanya mampu menempati peringkat ke dua dibawah Thailand dalam mendominasi pasar internasional dan ekspor ke negara tujuan seperti Amerika, Jepang, dan China. Pada karet sarung tangan Indonesia tidak mampu berdaya saing jika dibandingkan dengan negara Malaysia sebagai eksportir terbesar dan negara Thailand di pasar internasional dan negara tujuan ekspor seperti Amerika, Jepang, dan China.
Loss–Gain Framing Effects on Maize Farmers’ Contract Farming Decisions for Enhancing Farm Economic Sustainability Rizky Yanuarti; Yuli Hariyati; Orawan Srisompun; Agus Supriono; Ebban Bagus Kuntadi; Ati Kusmiati; Titin Agustina; Suwali Suwali
Jurnal Agrinika: Jurnal Agroteknologi dan Agribisnis Vol 10 No 1 (2026): MARCH
Publisher : Kadiri University - Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/agrinika.v10i1.7424

Abstract

Maize is a strategic food commodity in Indonesia, yet smallholder farmers remain vulnerable to high price volatility and market uncertainty that threaten the economic sustainability of farm enterprises. Contract farming has been promoted as a mechanism to stabilize income and strengthen farmers’ market access, but participation remains uneven and may depend not only on structural factors but also on how contract benefits and risks are communicated. This study aims to examine how loss–gain framing affects maize farmers’ intentions to participate in contract farming and to identify the key determinants of actual participation. A quantitative survey was conducted with 120 maize farmers in Jelbuk Subdistrict, Jember Regency, East Java, selected through purposive sampling to represent both contract and independent farmers. Farmers evaluated contract messages framed as potential gains or potential losses using a five-point Likert scale, and differences in responses were assessed using paired non-parametric tests. Binary logistic regression was then applied to explain farmers’ contract participation decisions. The results show that gain-framed messages generated higher intention scores than loss-framed messages across both farmer groups, indicating that benefit-oriented communication is more persuasive. However, participation decisions were more closely associated with farm size, profitability, age, and education than with framing responses alone. These findings suggest that effective contract farming expansion requires both supportive economic conditions and communication strategies emphasizing tangible benefits to enhance farm economic sustainability.
Co-Authors Adam Ramadhan Adha, Iqlina Asmara Agus Supriono Agustina, Titin Ahmad Zainuddin Akbar, Muhammad Mizan Ilham Amalah, Nur Ambar Asri Candra Putri Andang Subaharianto Anik Suwandari Annur Galih Yusvianto Ariq Dewi Maharani Aryo Fajar Sunartomo Asyrofi Asyrofi Ati Kusmiati Atrianto, Jovi Lutvi Avenido, Cheska Andrea C Ayamilah, Yasaroti Azilla, Erina Nur Azizah Azizah Azzarah, Azzarah Bella Dyah Valentine Budiman, Subhan Arif Cindera Rosa Damascena Damascena, Cindera Rosa Devyana Dwi Ratnasari Dewi Churva H. Sholihah Diana Puji Lestari Diana Puji Lestari, Diana Puji Dimas Bastara Zahrosa Djoko Soejono Dwi Erwin Kusbianto Elma Oktavian Elrey All Habib Faidah, Ainun Fandy Adry Willy Putranto Faradisi, Nurul Jinan Fiky Fitasari Fuad Hasan Hakim, Norma Kamilia Halwiyah, Lailatul Hapsari, Triana Dewi Hasanah, Julita Hasbi Mubarak Suud Ibanah, Indah Ika Purnamasari Ilma, Adihan Faizatul Indira Rosandry Ajeng Syahputri Irfan Arif Firmansyah Joni Murti Mulyo Aji Julian Adam Ridjal Kacung Hariyono Kusumaningsih, Candradewi Kuswardahni, Nita Lenny Luthfiyah Lenny Widjayanthi Lenny Widyayanthi Linda Laila Zahasfana M Rondhi Maharani, Anjar Manda Ayu Widiyastutuik Maulidina, Niswah Saffanah Meidiana Purnamasari Mohammad Rondhi Mohammad Rondhi Mutiara Ria Despita Maharani Nesya Tantri Refyanda Nasution Nur Amalah Nurul Awaliatul Istikhomah Olivia Anjung Sari Orawan Srisompun Panapanaan, Ansherine M Pantarei, Nur Muhammad Tirto Pradika, Yoga Reno Ayom Praset, Fahmi Rachmat Udhi Prabowo Ramadaniyah, Irma Wahyu Ratih Apri Utami Ratnasari, Devyana Dwi Rena Yunita Rahman, Rena Yunita Resmi, Aji Dita Ria, Vina Yunita Riza Oktafiyani Rizky Yanuarti Rokhani Rokhani Rokhani, Rokhani Rosidatul Qomariyah Rudi Hartadi Safi', Safi' Sari, Olivia Anjung Sihotang, Woulden Hood Sobah, Naqiyyah Nada Soetriono Soetriono Sriyono Sriyono Subhan Arif Budiman Suwali Suwali Suwali Syahputri, Indira Rosandry Ajeng Syaiful Anwar, Agus Setiadi, Suwali, Tafvian Devara Efendy Titin Agustina Tri Haryadi, Nanang Ubaidillah Ubaidillah Valentine, Bella Dyah Vanya Pinkan Maridelana Vanya Pinkan Maridelana Wardatul Jannah, Wardatul Widiyastutuik, Manda Ayu Widyayanthi, Lenny Yanuarti, Rizky Yoga Yuniadi Yuli Hariyati Yuli Hariyati Yuli Haryati Yulianti, Annisa Zahasfana, Linda Laila Zaujiah, Rima