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All Journal Indonesian Journal of Geography Berkala Ilmiah Pertanian Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan JTSL (Jurnal Tanah dan Sumberdaya Lahan) Techno: Jurnal Penelitian Pelita Perkebunan Journal of Degraded and Mining Lands Management Jurnal Teknik Pengairan: Journal of Water Resources Engineering AGRIVITA, Journal of Agricultural Science Jurnal Agro Indonesian Journal of Science and Technology Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Agriprima : Journal of Applied Agricultural Sciences Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Agrotek UMMat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Agrotek Tropika Jurnal Pengabdian Magister Pendidikan IPA Jurnal Teknologi Pertanian Andalas Jurnal Ilmiah Inovasi Jurnal ABDINUS : Jurnal Pengabdian Nusantara JUSTIN (Jurnal Sistem dan Teknologi Informasi) Media Pertanian Asian Journal of Management, Entrepreneurship and Social Science
Tri Wahyu Saputra
Program Studi Agroteknologi, Fakultas Pertanian, Universitas Jember
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Morpho-Physiological Responses of Purbalingga and Purowkerto Local Black Rices to Drought Stress Sholikhah, Ummi; Khamidah, Khusna; Handoyo, Tri; Tanzil, Ahmad Ilham; Fanata, Wahyu Indra Duwi; Ratnasari, Tri; Saputra, Tri Wahyu
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1148-1155

Abstract

Black rice (Oryza sativa L. indica) is a pigmented rice plant that has high antioxidant content. Drought is an abiotic stress that can inhibit the growth and productivity of rice plants. Planting of local black rice with several drought treatments using PEG 6000 was observed in this study. The aim of this research is to determine the morphological and physiological response of local black rice plants in Purbalingga and Purwokerto at various levels of drought stress. This research used a Completely Randomized Design (CRD) with 2 factors. The first factor is 2 local black rice plants, namely Purbalingga and Purwokerto. The second factor was drought stress treatment via PEG 6000 with 4 treatments, namely 0% PEG (control), 5%, 10%, and 15%. The results showed that when applying 15% PEG, local black rice in Purbalingga and Purwokerto experienced a decrease in plant height and number of leaves but increased root length. Based on the physiological response, when addition 15% PEG there was a decrease in the amount of chlorophyll and an increase in the content of H2O2 and anthocyanins in both Purbalingga and Purwokerto local black rice.   Keywords: Black Rice, Drought Stress, Morphological Response, Physiological Response.
Development of Irrigation Networks Based on Priorities Using the Multiple Attribute Decision Making Method Ristiyana, Suci; Saputra, Tri Wahyu; Purnamasari, Ika; Wijayanto, Yagus; Alfatah, Naufal Akbar; Al-Ghofiqi, M. Faris; Destria Putri, Romadhona; Prasojo, Sri Irawan Laras
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1359-1368

Abstract

Development of irrigation networks is a crucial element in increasing the efficiency and effectiveness of water distribution for agriculture. This research aims to determine priorities for developing irrigation networks in the Bedadung Irrigation Area, Jember Regency, using the Multiple Attribute Decision Making (MADM) method. This method consider various criteria influencing decision-making, such as physical condition of the channel, land area, water requirements, and level of infrastructure damage. This research involved collecting primary and secondary data through field surveys, interviews with interpreters, as well as reviewing technical and administrative documents related to irrigation networks. Data was analyzed using several MADM techniques, such as Simple Additive Weighting (SAW), Weighted Product (WP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to obtain the weight of each criterion and determine development priorities. The results show that the main priority for developing irrigation networks in the Bedadung Irrigation Area is repairing primary, secondary, and tertiary canals that are badly damaged, followed by increasing canal capacity to meet water needs in the dry season. Implementation of the results of this research is expected to increase the efficiency of irrigation water distribution, reduce water losses, and increase agricultural productivity.
Pemberdayaan Petani melalui Produksi Mikroorganisme Lokal (MOL) dan Plant Growth Promoting Rhizobacteria (PGPR) untuk Meningkatkan Produktivitas Padi dan Silase di Desa Kemiri, Kabupaten Jember Tanzil, Ahmad Ilham; Muhlison, Wildan; Saputra, Tri Wahyu; Rahayu, Puji; Yulianto, Roni; Anantoro, Tri; Hadi, Yusnan; Alfarisy, Fariz Kustiawan; Pusparani, Syafina; Rachmandhika, Yusuf; Syahputra, Wahyu Nurkholis Hadi
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 9 No 3 (2025): Volume 9 Nomor 3 Tahun 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v9i3.23940

Abstract

Kemiri Village, Panti District, Jember Regency is one of the rice-producing villages but faces the problem of scarcity of subsidized fertilizers and ineffective management of agricultural waste. This needs to be overcome with simple but effective handling. This community service activity aims to empower farmers through the production of Local Microorganisms (MOL) and Plant Growth Promoting Rhizobacteria (PGPR) to increase rice productivity while supporting the potential of livestock in the village. The target partner in this activity is the Sidodadi farmer group consisting of 30 farmers. The implementation method includes training in making MOL and PGPR, applying PGPR to rice plants, and making silage as animal feed. The results of the activity show that the activities carried out related to the use of PGPR can help increase rice growth, improve yields, and reduce dependence on chemical fertilizers. In addition, making silage successfully processes green fodder into quality feed that supports food security for livestock in the village. In the future, this activity is expected to strengthen the sustainability of agricultural and livestock practices in Kemiri Village and improve the economy of farmers.
Respons tomat (Solanum lycopersicum l.) terhadap KH₂PO₄ dan giberelin pada hidroponik dutch bucket: Tomato (Solanum lycopersicum l.) hydroponics: effects of KH₂PO₄ and gibberellin Maghfirah, Intan Hadiatun; Fanata, Wahyu Indra Duwi; Sholikhah, Ummi; Saputra, Tri Wahyu
Jurnal AGRO Vol. 12 No. 1 (2025)
Publisher : Jurusan Agroteknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/j.agro.46593

Abstract

Tomato (Solanum lycopersicum L.) is a horticultural commodity which the quality and the yield can be enhanced through the application of the Dutch bucket hydroponic system, along with KH₂PO₄ fertilization and gibberellin hormone treatments. This study aimed to evaluate the response of tomato plants in terms of productivity and quality under these treatments. The experiment was conducted in a greenhouse using factorial randomized complete block design with three replications. The first factor was KH₂PO₄ concentration at three levels: 0 ppm, 150 ppm, and 250 ppm; the second factor was gibberellin concentration at three levels: 0 ppm, 50 ppm, and 100 ppm. Data were analyzed using ANOVA and DMRT on parameters including number of flowers, number of fruits per plant, fruit diameter, average fruit weight, total fruit weight per plant, and total soluble solids value. The results indicated that the interaction of 150 ppm KH₂PO₄ and 50 ppm gibberellin produced optimal values for fruit weight per fruit of 41.32 g, total fruit weight per plant of 398.67 g, and total soluble solids of 6.28 °Bx. Furthermore, either individual effects of KH₂PO₄ or gibberellin concentrations significantly influenced all observed variables except on fruit diameter. Combination KH2PO4 150 ppm and gibbereilin 50 ppm is recommended for enhancing tomato cultivation performance under the Dutch bucket hydroponic system.   ABSTRAK Tomat (Solanum lycopersicum L.) merupakan komoditas hortikultura yang kualitas dan produksinya dapat ditingkatkan melalui penerapan sistem hidroponik Dutch bucket disertai penggunaan pupuk KH₂PO₄ dan hormon giberelin. Penelitian ini bertujuan untuk mengetahui respons tanaman tomat khususnya pada produktivitas dan kualitas terkait perlakuan tersebut. Penelitian dilakukan di dalam greenhouse menggunakan rancangan acak kelompok (RAK) faktorial dengan 3 ulangan. Faktor pertama adalah konsentrasi KH₂PO₄ dengan tiga taraf yaitu 0 ppm, 150 ppm, dan 250 ppm, faktor kedua adalah konsentrasi giberelin dengan tiga taraf yaitu 0 ppm, 50 ppm, dan 100 ppm. Data dianalisis menggunakan ANOVA dan DMRT dengan variabel pengamatan meliputi jumlah bunga, jumlah buah per tanaman, diameter buah, bobot per buah, bobot buah per tanaman, dan total padatan terlarut. Hasil penelitian menunjukkan interaksi antara KH₂PO₄ 150 ppm dan giberelin 50 ppm memberikan hasil terbaik pada variabel bobot per buah sebesar 41,32 g, bobot buah per tanaman sebesar 398,67 g, dan total padatan terlarut sebesar 6,28 °Bx. Selanjutnya, pengaruh faktor tunggal konsentrasi KH₂PO₄ maupun konsentrasi giberelin memberikan pengaruh pada seluruh variabel yang diamati kecuali diameter buah. Penggunaan KH2PO4 150 ppm dan giberelin 50 ppm dapat menjadi rekomendasi terbaik untuk diaplikasikan pada budidaya tomat menggunakan sistem Dutch bucket.   Kata kunci: Dutch bucket, giberelin, hidroponik, KH2PO4, tomat  
Inovasi Eco Paving Block Berbahan Limbah Plastik Untuk Lingkungan Berkelanjutan Di Desa Dukuhdempok Kecamatan Wuluhan Kabupaten Jember: - Ristiyana, Suci; Tri Wahyu Saputra; Ika Purnamasari; Yagus Wijayanto; Syafina Pusparani; Sultan Ghozi Imaduddin; Amelia Tri Arsita; Else Emilia Rumekso; Clarissa Myra Ananta; Yoandita Velina Aprilia; Riska Annisyafira
Jurnal Pengabdian Magister Pendidikan IPA Vol 8 No 3 (2025): Juli-September 2025
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v8i3.12525

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengembangkan inovasi Eco Paving Block berbahan limbah plastik sebagai solusi ramah lingkungan dalam pengelolaan sampah sekaligus mendukung pembangunan berkelanjutan di Desa Dukuhdempok, Kecamatan Wuluhan, Kabupaten Jember. Permasalahan utama yang dihadapi desa ini adalah tingginya volume limbah plastik rumah tangga yang belum dikelola secara optimal, sehingga berpotensi mencemari lingkungan dan mengganggu kesehatan masyarakat. Inovasi Eco Paving Block memanfaatkan limbah plastik sebagai bahan pengganti semen, sehingga mampu mengurangi penggunaan sumber daya alam sekaligus mengurangi pencemaran. Metode pelaksanaan meliputi sosialisasi dan edukasi kepada masyarakat tentang pengolahan limbah plastik, pelatihan pembuatan Eco Paving Block. Hasil kegiatan menunjukkan bahwa Eco Paving Block yang dihasilkan memiliki kualitas yang memenuhi standar, dengan keunggulan pada daya tahan dan harga produksi yang lebih rendah dibanding paving block konvensional. Selain itu, kegiatan ini mampu meningkatkan kesadaran dan keterampilan masyarakat dalam mengelola limbah plastik secara produktif. Keberlanjutan program diharapkan terwujud melalui pembentukan kelompok usaha mandiri di desa yang memproduksi Eco Paving Block secara berkelanjutan.
Analisis Alokasi Air Dengan Metode FPR-LPR dan Evapotranspirasi Pada Tanaman Padi (Oryza sativa L.) di UPT SDA Balung Daerah Irigasi Bedadung Ristiyana, Suci; Putri, Romadhona Destria; Ratnasari, Tri; Purnamasari, Ika; Saputra, Tri Wahyu; Prasojo, Sri Irawan Laras
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 13 No 2 (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.v13i2.1177

Abstract

Rice is one of the agricultural commodities that serves as the foundation of food security. Rice production fluctuates from year to year. Rice production in Jember Regency is mostly produced from irrigated rice fields. Bedadung irrigation area is one of the irrigation areas that has a large service area. UPT Balung is one of the UPTs that often experience water shortages. efforts that can be made to meet agricultural water needs are by optimizing water allocation management in agricultural land. Methods that can be used for water allocation management are the FPR-LPR and evapotranspiration methods. The purpose of this study is to determine the allocation of water, cropping patterns and the best method between the FPR-LPR and evapotranspiration methods on rice plants in UPT Balung Bedadung irrigation area. The research requires data in the form of secondary data which includes climate element data, soil data, crop data and 2022-2023 RTTG data. Water allocation using the FPR-LPR method shows that in growing season 1 requires water of 81,612 l/sec and in growing season 2 of 22,152 l/sec. Water allocation using the evapotranspiration method shows that in growing season 1 requires water amounting to 13,152 l/sec and in growing season 2 amounting to 15,196 l/sec. The best method between the two methods is the evapotranspiration method because the evapotranspiration method is based on climate data, soil data and crop data.
Membangun Karakter Cinta Lingkungan Sejak Dini Melalui Pengolahan Sampah Menjadi Kerajian di SDN Suco 3 Kecamatan Mumbulsari Kabupaten Jember Purnamasari, Ika; Ristiyana, Suci; Wahyu Saputra, Tri; Wijayanto, Yagus; Sholikhah, Ummi; Ratnasari, Tri
Jurnal Pengabdian Magister Pendidikan IPA Vol 7 No 1 (2024): Januari - Maret
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v7i1.6857

Abstract

Humans who have strong character both individually and socially will form good morals and manners. The application of good character can be expressed in the form of loving the environment. One form of loving the environment is by processing waste into useful crafts. The service at SDN Suco 3 is carried out to implement students' environmental love character by instilling the importance of loving the environment, inviting students to get used to sorting waste and equipping students with the skills to process waste into attractive wall decoration crafts. This activity was well received by students and teachers and had a positive impact on creating a more enjoyable learning atmosphere for students.
KARAKTER SPASIAL DAN TEMPORAL CURAH HUJAN BULANAN KABUPATEN JEMBER BERDASARKAN DATA CHIRPS Purnamasari, Ika; Abdillah, Moc. Reza Wahyu; Wijayanto, Yagus; Saputra, Tri Wahyu; Ristiyana, Suci; Budiman, Subhan Arif
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.13

Abstract

Jember Regency is one of the national food storage areas. One of the most important resources in cultivating food crops is water which comes from rainfall. The existence of rainfall data is very important in planning and implementing agricultural activities. Limited rainfall data is the main problem for agricultural planning. One solution to this problem is to utilize rainfall data from CHIRPS (Climate Hazards Group Infrared Precipitation Station). The use of CHIRPS data is still biased data, so bias correction is needed to measure the level of accuracy of CHIRPS data for estimating rainfall in an area. Bias correction is carried out using two methods, namely multiple linear regression and power regression. The correction results show that the multiple linear regression method is able to produce monthly rainfall that is close to observations with an RMSE value of 3.9 and a coefficient of determination of 0.99. Temporally, the peak of the rainy season in Jember Regency occurs in December while the dry season is in August. In the rainy season (December-January and February) Jember Regency's rainfall is around 300-500 mm/month and in the dry season (June-July-August) it is in the range of 50-200 mm/month. Spatially, the northern part of Jember, especially Sumberbaru, Bangsalsari and Tanggul subdistricts, is wetter than the Jember Regency area as a whole. The southern part of Jember, especially those close to the coast, has lower rainfall than other regions. In the dry season, rainfall in this region is less than 20 mm/month.
Mathematical Model of Drying Edamame (Glycine max (L.) Merill) Using Food Dehydrator Technology Based on Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) Wijaya, Rizza; Yudiastuti, Silvia Oktavianur; Handayani, Anna Mardhiana; Sari, Elok Kurnia Novita; Saputra, Tri Wahyu; Wisnu, Febryan Kusuma; Brilliantina, Aulia
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 11 No. 4 (2022): Desember 2022
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i4.589-600

Abstract

Edamame is included in perishable products or products that have a fairly short shelf life if post-harvest processing is not carried out. One of the post-harvest processing methods commonly used by the community is drying. The purpose of this study was to analyze the drying process of edamame related to the MLRL and ANN models. This study used a completely randomized design (CRD) with three variations of air velocity, namely 1 m/s, 3 m/s, and 5 m/s. Data collection was repeated three times every 30 minutes until 330 minutes.  Multiple linear regression (MLR) model training and validation produce accuracy values of 88.03 and 82.23, and the value of R2 of 0.93 and 0.90. While the training and validation of the artificial neural network (ANN) model resulted in accuracy values of 88.34 and 82.15, and R2 values of 0.93 and 0.90. Keywords:    ANN, Drying, Edamame, Food  dehydrator
Classification of Banana Types Based on The Geometrical Attributes using Artificial Neural Network Method Waluyo, Sri; Pangestu, Retama Agung; Warji, Warji; Saputra, Tri Wahyu
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 1 (2024): March 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i1.223-231

Abstract

Banana (Musa paradisiaca) is one of the important horticultural commodities. This study aims to measure the physical and geometrical parameters of three different bananas (Muli, Ambon, and Kepok) and to develop prediction equations using an Artificial Neural Network (ANN) model. In this study the backpropagation ANN model with supervised learning method was used. The ANN model had one output node, two hidden layers, and network architecture of 8 inputs, namely fruit weight and volume, projected area and roundness of the fruit, cross section, peel color, and geometric mean fruit cross section diameter. The data for building the model and testing the model were respectively 70% and 30% of the 150 data number in total. The results showed that the best ANN model structure for estimating Muli, Ambon and Kepok bananas was purelin-logsig-logsig with an RMSE value of 0.0077 and an R2 of 0.9999. This shows that the ANN model is highly robust to predict the banana types. Using the built model, the accuracy of the prediction results is 100%.  Keywords:  Artificial Neural Network,  Banana fruits,  Geometry attribute. 
Co-Authors Abdillah, Moc. Reza Wahyu Agus Haryanto Ahmad Ilham Tanzil Ahmad Ilham Tanzil Al-Ghofiqi, M. Faris Alfarisy, Fariz Kustiawan Alfatah, Naufal Akbar Amelia Tri Arsita Amieria Citra Gita Anantoro, Tri Andhika Setiawan Andrie Septiawan Anna Mardiana Handayani Anugerah Ramadan Arthur Frans Cesar Regar Arthur Frans Cesar Regar Arum, Ayu Puspita Basuki , Brilliantina, Aulia Budi Hariono Budiman, Subhan Arif Cindy Febrian, Berlian Clarissa Myra Ananta Destria Putri, Romadhona Edison Edison Elok Kurnia Novita Sari Elok Kurnia Novita Sari Else Emilia Rumekso Ersya Kamelia Rosana Evita Soliha Hani Evita Soliha Hani Fahrudin, Danil Eka Fanata, Wahyu Indra Duwi Fandri, Ferdi Zul Fariz Kustiawan Alfarisy Febryan Kusuma Wisnu Gatot Subroto Gita, Amiera Citra Hadi, Yusnan Handayani, Anna Mardhiana HARI PURNOMO Ika Purnamasari Ika Purnamasari Irwanto Sucipto Kacung Hariyono Khamidah, Khusna Kharisma Adi Bagaskara Khotijah Khotijah Kurniawan, Anri Kurniawan, Bintang Lailatus Sufiaah, Annisa Laily Ilman Widuri Laily Ilman Widuri, Laily Ilman Laily Mutmainnah Leona, Agis Listya Purnamasari Maghfirah, Intan Hadiatun Mandala, Marga Mareli Telaumbanua Mirna Ilza Moch. Reza Wahyu Abdilah Mohammad Ubaidilah Nanda Khoirun Nisa Ahmad Nikita Permatahati Oria Alit Farisi Pambudi , Satrio Lintang Pangestu, Retama Agung Parawita Dewanti Prasojo, Sri Irawan Laras Puji Rahayu Pusparani, Syafina Putri, Romadhona Destria Rachmandhika, Yusuf Ratnasari, Tri Regar, Arthur FC Retama Agung Pangestu Rina Kumalasari Riska Annisyafira Ristiyana, Suci Rizky Harikurniawan Rizza Wijaya Rizza Wijaya Rona Al Kanza Roni Bahtiar Roni Yulianto Rosyady, Muhammad Gufron Safitri, Mahardika Saydi, Royhan Setiawati, Tri Candra Setiyono Setiyono Sigit Soeparjono Sigit Soeparjono Silvia Oktavia Nur Yudiastuti Sri Hartatik Sri Waluyo Sri Waluyo Subhan Arif Budiman Subroto, Gatot Suci Ristiyana Suci Ristiyana Sultan Ghozi Imaduddin Syafina Pusparani Syahputra, Wahyu Nurkholis Hadi Taufik, Rahadian Falqi TRI HANDOYO Tri Ratnasari Tursina Tursina Ummi Sholikah Ummi Sholikhah Vega Kartika Sari Warji Warji Warji Warji Wildan Muhlison Wildan Muhlison, Wildan Yagus Wijayanto Yeremia Rivieri Yoandita Velina Aprilia Yudiastuti, Silvia Oktavianur Yulianti Yulianti Yulianto, Roni Yusuf Rachmandhika Zaky Firmansyah Maulana