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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Ilmu Lingkungan The Journal of Experimental Life Sciences (JELS) Agrointek Journal of Degraded and Mining Lands Management Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) agriTECH UNEJ e-Proceeding SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Irigasi JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Agrotek Tropika Jurnal Tanah dan Iklim Jurnal Abdidas International Journal on Food, Agriculture and Natural Resources (IJFANRES) Journal of Agricultural and Biosystem Engineering Research Jurnal Penelitian Sains dan Teknologi Indonesia Jurnal Hasil Pengabdian Kepada Masyarakat Universitas Jember Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Management Research)
Idah Andriyani
Fakultas Teknologi Pertanian, Universitas Jember, Jl. Kalimantan No. 37 Kampus Tegalboto, Jember, Jawa Timur 68121
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Distribution of Water Quality Parameters Using Equation Multiple Linear Regression Wahyuningsih, Sri; Andriyani, Idah; Soekarno, Siswoyo; Khoirulloh, Deffa
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.v13i4.1422-1431

Abstract

Mayang River in Jember Regency has a strategic role in fulfilling people's lives and is a source of water for 79 irrigation areas with a total area of 16,471 hectares. Community use of the Mayang River has the potential to provide input of organic material from waste which can reduce river water quality. The aim of this research is to analyze the spatial distribution of water quality parameters, namely TSS, TDS, pH, DO and BOD. This research uses multiple linear regression techniques to determine the value of the distribution or spatial distribution of Mayang River pollution, as well as identifying water quality variables that are correlated in each region. The research results show that water quality parameters that have a strong correlation are pH (r = 0.74), DO (r = 0.72) and TSS (r = 0.65), moderate correlation with BOD parameters (r = 0.48) and low correlation with BOD parameters. TDS parameters (r = 0.25). Based on the analysis results, it is known that water quality parameters are correlated with different activities in each region. The results of this research can be used as a strategy for monitoring water quality in the Mayang River to control the impact of human activities in the surrounding area. Keywords: Multiple Linear Regression, Spatial Distribution, Water Quality.
ANALISIS KESESUAIAN LAHAN DAS SAMPEAN BARU UNTUK BUDIDAYA PISANG CAVENDISH(Musa acuminata L) PT.XYZ DI KABUPATEN BONDOWOSO Novita, Elida; Andriyani, Idah; Soekarno, Siswoyo; Ernanda, Heru; Silvia, Halimatus
Jurnal Agrotek Tropika Vol. 13 No. 4 (2025): JURNAL AGROTEK TROPIKA VOL 13, NOVEMBER 2025
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v13i4.9340

Abstract

Pisang cavendish menjadi jenis pisang yang banyak diminati di pasar internasional, sehingga untuk meningkatkan volume ekspor pisang Indonesia, jenis pisang yang tepat untuk di budidayakan adalah pisang cavendish. PT.XYZ menjadi salah satu perusahaan yang turut membudidayakan pisang cavendish dengan tujuan ekspor, yang terus melakukan perluasan area perkebunan termasuk di wilayah DAS Sampean Baru, Kabupaten Bondowoso, Provinsi Jawa Timur. Perluasan dilakukan dengan sistem kemitraan bersama Pemerintah Kabupatern Bondowoso dan kelompok tani. Namun, belum dilakukan penilaian kesesuaian lahan untuk budidaya tanaman pisang cavendish. Oleh karena itu, kajian ini bertujuan  melakukan evaluasi kesesuaian lahan dan rekomendasi perluasan area penanaman di wilayah DAS Sampean Baru. Evaluasi kesesuaian lahan dilakukan dengan membandingkan kondisi parameter kriteria terkini dengan kriteria kesesuaian lahan untuk tanaman pisang cavendish. Parameter input adalah jenis tanah, tutupan lahan, curah hujan, dan topografi yang dianalisis menggunakan  ArcGis 10.3 melibatkan 7 parameter kriteria kesesuaian lahan tanaman pisang cavendish. Hasil menunjukkan DAS Sampean Baru memiliki 2 kelas kesesuaian lahan yaitu S1 (sangat sesuai) sebesar 15.303,99 ha (25,05%) dan S2 (cukup sesuai) 45.789,31 ha (74,95%). Perluasan area budidaya pisang cavendish dapat mengoptimalkan lahan – lahan dengan status S2. Kondisi tersebut memberikan kesimpulan bahwa secara keseluruhan wilayah DAS Sampean Baru sesuai untuk budidaya tanaman pisang cavendishnamun perlu diperhatikan bahwa kondisi kelas S2 memerlukan beberapa upaya penanganan untuk mencegah dampak dari keberadaan faktor pembatas.
Effectiveness of Irrigation Water Conservation in Tomato Cultivation with the Addition of Cattle, Poultry or Goat Manure-Based Compost Andriyani, Idah; Istiqomah, Nuril; Wahyuningsih, Sri; Lestari, Ning Puji
The Journal of Experimental Life Science Vol. 16 No. 1 (2026)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2026.016.01.03

Abstract

Efficient use of irrigation water is essential because water availability often does not meet crop requirements. In response, compost application is a potential solution, as it improves soil structure and enhances water-retention capacity. Nevertheless, the water-binding capacity of compost varies depending on the source of animal manure. To address this, the study aimed to evaluate the effectiveness of compost made from cattle, poultry, and goat manure in improving water retention in Andosol soil and supporting tomato growth as a biological indicator. The study used Andosol soil mixed with compost at application rates of 25% (500 g), 50% (1000 g), and 75% (1500 g), along with a control without compost. A two-factor completely randomized design with three replications was applied, and measured parameters included moisture content, media weight, water-holding capacity, pH, plant height, and leaf number. Results showed that the treatment using 1500 g of goat manure compost combined with 500 g of Andosol soil produced the highest water-holding capacity, making it the most effective option for irrigation water conservation. In contrast, cattle manure compost yielded the best tomato growth and productivity. Overall, these findings demonstrate that selecting the appropriate manure-based compost can enhance soil water retention and improve irrigation efficiency.
Analysis of rainfall erosivity factor (R) on prediction of erosion yield using USLE and RUSLE Model’s; A case study in Mayang Watershed, Jember Regency, Indonesia Andriyani, Idah; Indarto, Indarto; Soekarno, Siswoyo; Pradana, Masdharul Putra
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 21, No 1 (2024): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v21i1.63641

Abstract

The Rainfall erosivity has a relatively high effect on soil erosion, in addition to being very difficult to predict and control. The Universal Soil Loss Equation (USLE) and The Revised Universal Soil Loss Equation (RUSLE) model are commonly used to predict erosion yield in Indonesia. However, these models have several erosivity formulations that give different results. In this sense, identifying the sensitivity of different erosivity formulations in both models above is important. The aim of this study is to analyze soil erosion yield prediction influenced by the difference in erosivity equation on the same rainfall data used in the models while other parameters used are the same. The monthly rainfall and annual rainfall data were tested using the erosivity formulas. The (1) Bols and (2) Utomo equations were tested using monthly rainfall data, while the (3) Bols and (4) Hurni equations were tested using annual rainfall data. The results show that the prediction of soil erosion yields estimates using monthly rainfall data in both models have no significant differences. On the other hand, soil erosion estimates using annual rainfall data in the models have significant differences, whereas the USLE model estimation results in 63% erosion yield on low classification (0-15 ton ha-1 year-1). Meanwhile, the RUSLE model estimates only 59% erosion yield on low classifications. Another result is that the USLE model estimates lower erosion yield than the RUSLE model when the models use annual rainfall data, which may give significantly different recommendations for soil conservation in Indonesia, especially in reducing erosion yield at the Watershed level.
Kajian Ketersediaan Air di DAS Sampean Baru Untuk Irigasi Perkebunan Pisang Cavendish (Musa Acuminata L) PT. XYZ di Kabupaten Bondowoso (Water Availability Study in The Sampean Baru Watershed for Irrigation of Cavendish Banana (Musa Acuminata L) Plantations at PT. XYZ in Bondowoso Regency) Elida Novita; Idah Andriyani; Heru Ernanda; Halimatus Silvia; Hendra Andiananta Pradana
Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Management Research) Vol 8 No 2 (2024): Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Manageme
Publisher : Asosiasi Peneliti dan Teknisi Kehutanan dan Lingkungan Hidup Indonesia (APTKLHI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/jppdas.2024.8.2.201-228

Abstract

Cavendish bananas, which are popular internationally, could boost Indonesian horticultural exports. PT. XYZ specializes in the cultivation of Cavendish bananas, has a banana plantation in Bondowoso Regency's Sampean Baru Watershed. Factors that must be considered to ensure that the cultivation process runs smoothly include the availability of sufficient water to support cultivation activities. This study aimed to determine the condition of the Sampean Baru Watershed water balance due to the existence of Cavendish banana plantations owned by PT. XYZ. This study involves calculating water availability using FJ. Mock model and calculating water needs, which include calculating the water needs of PT. XYZ's Cavendish banana plantation, agricultural water needs, domestic-non-domestic water needs, and livestock water needs in the Sampean Baru Watershed area. The data used include climatology data, rainfall data, plant data, watershed area data, Bondowoso Regency planting plan data, land cover maps, and soil type maps. The results show that the Sampean Baru Watershed can meet the current water needs of banana plantations and for development purposes. The water balance condition is in surplus in all months. The total water requirement for PT. XYZ's Cavendish banana plantation is currently 0.00976 m3/s. The total surplus generated is 301.86 m3/s, with the total water requirement for agriculture, domestic, non-domestic, and livestock being 44.189 m3/s. Development can be carried out until the Cavendish banana plantation is 13,230.24 ha in area, because the water balance is balanced under these conditions. It is recommended that development not exceed this value to anticipate a deficit condition.
Simulation of Robusta Coffee Fruit Detachment Dynamics as a Basic Concept for Designing a Selective Vibratory Mechanical Coffee Harvester Taufiq, Muhammad; Andriyani, Idah; Pambudi, Akbar Setyo; Yosika, Nur Ida Winni; Hita, Muhammad Arga; Arifin, Ahmad David Royyifi
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 2 (2026): August 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study aims to formulate fruit detachment dynamics as the core concept for designing a selective vibratory mechanical harvester for robusta coffee. Plant-level average fruit removal force (FRF) and fruit mass data from five coffee plants were analysed for three maturity classes identified by color: red, orange, and green. An empirical FRF model was built using maturity code and fruit mass as predictors, after which a dynamic force model based on forced vibration, Fd = mA(2?f)², was used to simulate detachment behavior under different operating conditions. Model validation employed goodness-of-fit statistics and leave-one-out cross-validation, while selective harvesting performance was predicted through maturity-specific detachment probability curves. Mean FRF increased consistently with decreasing maturity, from 3.532 N in red fruits to 5.966 N in orange fruits and 8.034 N in green fruits, whereas fruit mass varied only slightly among stages. The empirical model showed high predictive accuracy (R² = 0.997; RMSE = 0.095 N), indicating that maturity status dominated the FRF response. Simulation results demonstrated that, at a vibration amplitude of 3 mm, equivalent threshold frequencies were approximately 99.9 Hz for red fruits, 129.9 Hz for orange fruits, and 151.3 Hz for green fruits. An optimum selective operating window of 3.60-5.91 N, equivalent to 101.0-129.4 Hz, was identified for maximizing ripe-fruit recovery while maintaining high harvest purity.
Co-Authors Abiyyu, Ahmad Naufal Achmad Fauzan Masudi Afina Afina Ahmad David Royyifi Arifin Akbar Setyo Pambudi Alfarisy, Fariz Kustiawan Arif, Ahmad Zidan Askin, M. Bambang Marhaenanto Dwi Agustina Dwi Agustina Elida Novita Ernanda, Heru Fadila, Yaumil Zahro Fiona Cahya Patricia Halimatus Silvia Hendra Andiananta Pradana Herry Purnomo, Bambang Heru Ernanda Hidayat, M. Dian Nurul Hita, Muhammad Arga Hoesain, Mohammad I Gusti Bagus Wiksuana Ida Bagus Suryaningrat Indarto Indarto Indarto Indarto Indarto Indarto indarto indarto Indarto, Indarto Isfi roni Rohman Istiqomah, Nuril Jamhari Jamhari Jenitra Milan Petrina Jones, Mochammad Roy Karomah Hidayah, Darul Alfan Khoirulloh, Deffa Lestari, Ning Puji Luh Putu Ratna Sundari Luh Putu Suciati M. Abd. Nasir M. Yogi Riyantama Isjoni Mohammad Makhrus Ubaidillah Muhamad Derajat Karim Muhammad Taufiq Nita Kuswardhani Oktavian, Ziqrul Pradana, Hendra Andiananta Pradana, Masdharul Putra Romadona, Zakina Rufiani Nadzirah Silvia, Halimatus Siska Suryaningtias Siswahyudianto Siswoyo Soekarno Soni Sisbudi Harsono Soni Sisbudi Harsono, Soni Sisbudi Sri Wahyuningsih Sukrisno Widyotomo Tasliman, Tasliman Tiarawardani, Dwi Anggi Ade Tiyas, Eka Wirawan, Dedy Yaumil Fadila Yaumil Zahro Fadila Yosika, Nur Ida Winni