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All Journal Indonesian Journal of Geography Journal of Tropical Soils JTSL (Jurnal Tanah dan Sumberdaya Lahan) 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 Agribios Jurnal Agroekoteknologi dan Agribisnis Media Pertanian

Ristiyana, Suci

Universitas Jember

Author-ID : 1943156

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Non-Destructive Measurement of Rice Amylose Content Based on Image Processing and Artificial Neural Networks (ANN) Model Tri Wahyu Saputra; Yagus Wijayanto; Suci Ristiyana; Ika Purnamasari; Wildan Muhlison
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 11, No 2 (2022): June
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i2.231-241

The purpose of this study was to develop a method of measuring the amylose content of rice using image processing techniques and an Artificial Neural Network (ANN) model. The rice samples came from six varieties, namely Way Apo Buru, Mapan P05, IR-64, Cibogo, Inpari IR Nutri Zinc, and Inpari 33. The amylose content was measured by laboratory tests and the color intensity was measured based on the RGB (Red, Green, Blue). The ANN model will correlate the RGB color intensity as input with the amylose content as the output. The ANN model used is backpropagation type with 3 input layer nodes and 2 hidden layers with 3-5-5-1 architecture. Variations in the training model used are 27 variations of the activation function. The amount of data used for model training of 30 data while for validation of 12 data. The best ANN model is determined from the high value of accuracy (100%-MAPE) and the value of coefficient of determination (R2). The results showed the best network architecture on the activation function purelin-logsig-tansig. The R2 value on the best training and validation results of 0.98 and 0.66 while the accuracy values for the best training and validation results of 98.15 and 66.82. The validation results show that the developed non-destructive method can be used to quickly and accurately measure the amylose value of rice based on RGB color value. The test results show that the non-destructive method developed cannot be used to measure the amylose content of rice quickly and accurately based on the RGB color intensity, so it needs further development. Keywords: Amylose, Artificial neural networks, Image processing, Rice

pelatihan Pelatihan Pembuatan Pie Pisang Sebagai Makanan Khas di Desa Kandangtepus Kecamatan Senduro Kabupaten Lumajang: Pelatihan Pembuatan Pie Pisang Sebagai Makanan Khas di Desa Kandangtepus Kecamatan Senduro Kabupaten Lumajang suci ristiyana; Ahmad Ilham Tanzil; Tri Wahyu Saputra; Ika Purnamasari
Jurnal Pengabdian Magister Pendidikan IPA Vol 5 No 1 (2022): Januari - Maret
Publisher : Universitas Mataram

Kandangtepus Village is an area where the majority of the people grow Kirana bananas, and its marketing has penetrated the export market. Kandangtepus village produces the famous banana, Mas Kirana banana. However, the area does not yet have a typical food processing from the base of bananas which can increase the price of Kirana bananas in the future other than as an export commodity. Therefore, for this service, we chose a training activity for making banana pie which is expected to later become a special food in the Kandangtepus area and can be known to the wider community outside Lumajang. Banana pie has good nutritional content for the health of the human body, one of which is for digestion, besides that the nutritional content contained in banana pie / 50 grams is as follows: calories 158 kcal, fat 8.05 grams, protein 1.5 grams, carbohydrates 21.3 g, 1.3 g fiber, 10.7 g sugar, 187 mg sodium, 32 mg potassium, 0 mg cholesterol. It is hoped that by making banana pie, the community is more creative and has more skills so that it can improve the welfare of the community, especially in the village

Processing Pengolahan Limbah Kotoran Sapi Menjadi Pupuk Organik untuk Perbaikan Kualitas Lingkungan Desa Seputih Kecamatan Mayang Kabupaten Jember Ika Purnamasari; Suci Ristiyana; Yagus Wijayanto; Tri Wahyu Saputra
Jurnal Pengabdian Magister Pendidikan IPA Vol 5 No 1 (2022): Januari - Maret
Publisher : Universitas Mataram

Seputih Village is one of the villages in Mayang District, Jember Regency. In addition to the agricultural sector, the livestock sector is also the mainstay of the village, namely cattle with almost 70% of households owning livestock. The high number of cattle in the community causes an increase in the amount of livestock manure produced. One solution that can be applied to reduce this waste is by processing manure into solid organic fertilizer so that the community service program implemented in Seputih Village is the manufacture of solid organic fertilizer from cow dung that can be utilized by the community on agricultural land. Activities carried out to achieve the objectives include coordination meetings of the lecturer team with village heads, farmers and ranchers; potential survey; training on the manufacture of solid organic fertilizers as well as monitoring and evaluation. The community service activity was enthusiastically welcomed. The community directly received information on the importance of handling cow dung waste and had experience in making organic fertilizer workshops. Solid organic fertilizer can be used after two weeks of the fermentation process.

Perlindungan Buah Jambu Kristal dari Serangan Lalat Buah Sebagai Optimalisasi Kualitas di Desa Tamanagung Kecamatan Cluring Kabupaten Banyuwangi Tri Wahyu Saputra; Wildan Muhlison; Suci Ristiyana; Ika Purnamasari; Yagus Wijayanto
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 4 (2022): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v6i4.10602

Tamanagung Village, Cluring District, Banyuwangi Regency is one area that cultivates crystal guava fruit for markets in areas in East Java and even big cities in Indonesia. However, one of the difficulties for farmers is to maintain good quality crystal guava and meet market criteria such as crunchy texture, sweetness, slightly runny, no spots, not rotten and free from maggots. Crystal guava fruit can be sold for Rp. 5,000.00 to Rp. 6,000.00 per kilogram but can drop dramatically if there is a decrease in fruit quality. In this service, fruit cover was chosen as this technology to protect crystal guava fruit (Psidium guajava) from fruit fly (Bactrocera spp.) attacks. The focus of this service program is the use of technology that is simple but can be applied quickly by farmers and has a real impact on cultivation results. Protection provides better yields such as avoiding fruit defects, is of higher quality and will increase the selling value of crystal guava fruit. In the end, this program will be able to increase the economic welfare of crystal guava farmers. It is hoped that the positive impact felt by farmers in community service locations can also be felt by farmers in other areas.

Inovasi Polybag Ramah Lingkungan Anti Pindah Tanam Dari Kompos Kotoran Sapi Di Desa Seputih Kabupaten Jember Suci Ristiyana; Ahmad Ilham Tanzil; Tri Wahyu Saputra; Ika Purnamasari; Yagus Wijayanto; Ummi Sholikhah
Jurnal Pengabdian Magister Pendidikan IPA Vol 5 No 3 (2022): Juli - September
Publisher : Universitas Mataram

Desa Seputih merupakan salah satu desa di Kecamatan Mayang Kabupaten Jember yang terdiri dari enam Dusun antara lain Dusun Krajan, Pandian, Sumberjeding, Sumberwadung, Tetelan, dan Dusun Wetan Kali. Kondisi geografis yang mendukung seperti kondisi tanah, iklim, kebudayaan masyarakat lokal dengan mayoritas sebagai petani menjadikan wilayah Seputih memiliki keunggulan di bidang pertanian. Sektor peternakan juga menjadi unggulan desa yaitu ternak sapi dengan jumlah hampir 70% kepala keluarga yang memiliki ternak. Tingginya ternak sapi masyarakat juga akan menyebabkan meningkatnya limbah yang dihasilkan seperti kotoran ternak. Salah satu solusi yang dapat diterapkan guna mengurangi limbah tersebut yaitu dengan mengolah limbah kotoran sapi menjadi kompos yang nantinya dapat dimanfaatkan oleh masyarakat di lahan pertanian.. Harapan dari program ini dapat memberikan solusi bagi masyarakat dalam pengelolaan limbah kotoran ternak secara terpadu sehingga dapat memberikan dampak positif baik lingkungan, ekonomi, maupun sosial budaya

RAPID MEASUREMENT SYSTEM HASIL FERMENTASI PUPUK ORGANIK PADAT (POP) BERBASIS NPK SENSOR DAN MODEL REGRESI LINIER Tri Wahyu Saputra; Yagus Wijayanto; Arthur Frans Cesar Regar; Suci Ristiyana; Ika Purnamasari
Jurnal Teknologi Pertanian Andalas Vol 27, No 1 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jtpa.27.1.94-103.2023

Kualitas pupuk organik padat (POP) perlu diperhatikan agar efektif saat diaplikasikan dengan indikator utama berupa unsur N (Nitrogen), P (Fosfor), K (Kalium), dan C-Organik. Tujuan penelitian ini adalah mengembangkan sistem pengukuran pada indikator kualitas pupuk organik padat (POP) sehingga dapat memudahkan analisis kandungan pupuk dan meringankan faktor tenaga maupun biaya. Penelitian ini dimulai dengan membuat pupuk organik dari bahan limbah bekas maggot dan bekas pupa Black Soldier Fly (BSF) yang dibagi menjadi 5 variasi dan penggunaan dekomposer Trichoderma sp. dan EM4 yang dibagi menjadi 2 variasi. Selanjutnya, mengukur nilai N, P, K menggunakan NPK Sensor dan analisis laboratorium. Data hasil laboratorium akan dianalisis menggunakan Analysis of Variance (ANOVA) dan Duncan Multiple Range Test (DMRT). Hasil pembacaan sensor akan dibandingkan dengan hasil laboratorium dan dibuat model regresi untuk membuat persamaan matematis. Tingkat akurasi model regresi diuji dengan koefisien determinasi (R2) dan Mean Percentage Error (MAPE). Hasil penelitian menunjukkan adanya perbedaan yang signifikan pada kandungan pupuk dan hasil terbaik pada bahan dasar bekas pupa dengan dekomposer terbaik menggunakan Trichoderma sp. Kombinasi bahan bekas maggot tidak meningkatkan kualitas namun dapat menjadi alternatif untuk pemanfaatan limbah BSF. Persamaan matematis mampu memprediksi nilai kadar N, P, K, dan C organik dengan keakurasian di atas 70%. Hal ini menunjukkan NPK sensor dapat menjadi alternatif dalam mengukur kandungan pupuk secara mudah, cepat, dan akurat.

Implementasi “TEMAN” (Metode Pengenalan Tanaman Sayuran) Bagi Anak SDN Tamansari 01 Kecamatan Wuluhan Kabupaten Jember Suci Ristiyana; Ika Purnamasari; Tri Wahyu Saputra; Yagus Wijayanto; Arthur Frans Cesar Regar; Ummi Sholikah; Tri Ratnasari
Jurnal Pengabdian Magister Pendidikan IPA Vol 6 No 2 (2023): April-Juni
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v6i2.4125

Pengenalan bercocok tanam dapat dilakukan melalui pelatihan pengabdian kepada masyarakat yang dilaksanakan di SDN Tamansari 01, bertujuan untuk memberikan pengenalan kepada anak-anak agar mereka belajar secara mandiri terkait kebutuhan sayuran yang sehat dan mengoptimalkan kebun atau pekarangan khususnya di sekolah. Kegiatan ini dilakukan dengan perencanaan., kegiatan tersebut meliputi pemilihan lokasi sekolah dasar, tujuan, dan penyiapan alat dan bahan yang diperlukan untuk pelaksanaan. Pengabdian masyarakat dilakukan di SDS Negeri Tamansari 01 Kecamatan Wuluhan Kabupaten Jember. Kegiatan pertanian ini dinamakan kegiatan “TEMAN” (Metode Pengenalan Tanaman Sayuran) sebagai solusi bercocok tanam memanfaatkan pekarangan terbatas untuk sayuran sehat. Kegiatan sederhana ini dapat dilakukan oleh siapa saja khususnya warga SDN Tamansari 01. Metode meliputi presentasi, praktik dan tanya jawab. Siswa diberi tugas untuk menanam dan merawat tanaman sayuran.

Penerapan Teknologi Akuaponik Di Desa Sumberpakem Kecamatan Sumberjambe Kabupaten Jember Suci Ristiyana; Tri Wahyu Saputra; Ika Purnamasari; Yagus Wijayanto
Jurnal Pengabdian Magister Pendidikan IPA Vol 6 No 4 (2023): Oktober-Desember 2023
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v6i4.6619

Aquaponik adalah sistem pertanian berkelanjutan dimana merupakan penggabungan budidaya ikan atau perikanan dengan penanaman tanaman baik sayuran atau buah buahan dalam satu lingkungan dimana saling mendukung atau biasanya dikembangkan dalan konsep dasar Aquaponik menggabungkan akuakultur (budidaya ikan) dan hidroponik (budidaya tanaman tanpa tanah). Pemberian ikan di bak atau kolam air, dimana akan menghasilkan limbah dalam bentuk amonia. Bakteri nitrifikasi mengubah amonia menjadi nitrat yang lebih rendah beracun. Air yang kaya nutrisi ini kemudian digunakan untuk menyuburkan tanaman dalam sistem hidroponik. Sistem kerja air yang mengandung limbah ikan dialirkan ke sistem hidroponik, di mana tanaman menyerap nutrisi yang ada dalam air. Tanaman ini menyaring air dan menghilangkan kelebihan nutrisi dan zat berbahaya, sementara akar mereka memberikan oksigen ke dalam air. Setelah air diolah oleh tanaman, air bersih dikembalikan ke bak ikan, menciptakan lingkaran yang berkelanjutan. Program pengabdian bertujuan untuk memberikan pendidikan dan meningkatkan kesadaran masyarakat tentang konsep dan manfaat aquaponik serta potensi keberlanjutan dan keuntungan ekonomi dari metode ini.

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

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.

Estimating the contents of Chlorophyll, Nitrogen, and Yields on Rice through Sentinel-2 Vegetation Indices in Heterogeneous Land Management Wijayanto, Yagus; Safitri, Mahardika; Purnamasari, Ika; Budiman, Subhan Arif; Saputra, Tri Wahyu; Regar, Arthur FC; Ristiyana, Suci
Indonesian Journal of Geography Vol 56, No 3 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.87159

Addressing the global food demand is an urgent priority for governments worldwide. Efficient and effective methods for gauging crop production are crucial. Relying solely on ground-based measurements proves inefficient and expensive, prompting exploration of remote sensing using vegetation indices as a viable alternative. This study sought to achieve three objectives: estimating chlorophyll content in paddy fields, evaluating leaf nitrogen content, and predicting yields. The investigation utilized Sentinel-2A satellite imagery, Soil Plant Analysis Development (SPAD) for chlorophyll measurement, and employed statistical and accuracy analyses. Findings revealed an increase in chlorophyll and leaf nitrogen content from the vegetative to maturity phases, followed by a decline at maturity. NDVI and GNDVI emerged as superior to SAVI and VARI for chlorophyll estimation, attributed to their spectral sensitivity. Likewise, nitrogen prediction showed similar trends, with NDVI and GNDVI exhibiting better RMSE values compared to SAVI and VARI, albeit marginally. However, yield prediction accuracy varied, with NDVI proving most accurate, followed by SAVI, VARI, and GNDVI, indicating the latter's reduced predictive precision due to nitrogen sensitivity. In scenarios where nitrogen is not the predominant yield-limiting factor, NDVI could outperform GNDVI in forecasting yield. Received: 2023-07-22 Revised: 2024-04-18 Accepted: 2024-08-24 Published: 2024-10-10

Co-Authors Abdillah, Moc. Reza Wahyu Ahmad Ilham Tanzil Ahmad Ilham Tanzil Al-Ghofiqi, M. Faris Alfatah, Naufal Akbar Amelia Tri Arsita Anggreini, Rizqi Aprilia Putri Arthur Frans Cesar Regar Arthur Frans Cesar Regar Arum, Ayu Puspita Basuki , Budiman, Subhan Arif Cahyoadi Bowo Cindy Febrian, Berlian Clarissa Myra Ananta Destiawan, Hisyam Ashar Destiawan, Hisyam Azhar Destria Putri, Romadhona Dewi, Lara Putri Kartika Dyah Ayu Savitri Else Emilia Rumekso Ersya Kamelia Rosana Fachrurrozi, Faisal Fahrudin, Danil Eka Fanata, Wahyu Indra Duwi Farisi, Oria Alit Firmawati, Julvia Nurlaeli Gatot Subroto Ika Purnamasari Irwanto Sucipto Isnanto, Bimo Arvi Aji Kessumowati, Dyah Ayu Kesumowati, Dyah Ayu Kharisma Adi Bagaskara Kurniawan, Bintang Lailatus Sufiaah, Annisa Leona, Agis Mandala, Marga Meliala, Susan Barbara Patricia Sembiring Nisak, Fauziatun Pambudi , Satrio Lintang Parawita Dewanti Prasojo, Sri Irawan Laras Pusparani, Syafina Putri, Romadhona Destria Rachmandhika, Yusuf Ratih Apri Utami Ratnasari, Tri Regar, Arthur FC Rina Kumalasari Riska Annisyafira Safitri, Mahardika Safitri, Urmita Dwi Saputr, Tri Wahyu Saydi, Royhan Setiyono Setiyono Sri Hartatik Sultan Ghozi Imaduddin Susanto, Devani Avrillia Syafina Pusparani Taufik, Rahadian Falqi Tri Ratnasari Tri Wahyu Saputra Ummi Sholikah Ummi Sholikhah Vega Kartika Sari Wildan Muhlison, Wildan Yagus Wijayanto Yeremia Rivieri Yoandita Velina Aprilia Yusuf Rachmandhika Zaky Firmansyah Maulana

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