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All Journal Journal of Tropical Soils AGRISE Jurnal HPT (Hama Penyakit Tumbuhan)
Melati Julia Rahma
Sekolah Pascasarjana, Programm Studi Pengelolaan Sumber Daya Lingkungan Dan Pembangunan, Universitas Brawijaya, Malang 65145
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Environmental Science

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Response Macronutrient Content of Saline-Resistant Paddy to the Saline Source Distance Aditya Nugraha Putra; Martiana Adelyanti; Albert Fernando Sitorus; Qoid Luqmanul Hakim; Melati Julia Rahma; Istika Nita; Sudarto Sudarto; Alia Fibrianingtyas
JOURNAL OF TROPICAL SOILS Vol 26, No 2: May 2021
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2021.v26i2.63-74

Abstract

The impact of salinity on paddy production in Indonesia was pronounced with an average decline of 6.83% (2015-2019). Salinity interferes with macronutrients' absorption into plants, causing stunted growth (salinity contributed to a 42% decrease in paddy production). One solution to solve the salinity problem in paddy is to use saline varieties. There were very few studies on macronutrient content analysis in resistant varieties response to the salinity source's distance.  This research conducted in Jabon Sidoarjo, Indonesia, aims to see the macronutrient response and plant growth to the saline source's distance. This research was conducted in Jabon District, Sidoarjo Regency, using two transects with a length of 2 km and 3.4 km, respectively. The distance between the research location and the salinity source was 10.65 km.  The survey used a free grid to adjust paddy fields' location and the presence of resistant varieties. The results showed that the closer to the salinity source, the salinity indicators consisting of Electrical Conductivity, Sodium Adsorption Ratio, Exchangeable Sodium Percentage, and pH H2O would increase. The increase in salinity then affects the decrease in macronutrients (Nitrogen, Phosphor, and Kalium) in plants. However, tillers and leaves (length and number) were unaffected by high salinity levels in the soil.
WILLINGNESS TO PAY ANALYSIS OF EDELWEISS FLOWER FROM EX-SITU CONSERVATION AT WONOKITRI VILLAGE, PASURUAN REGENCY Melati Julia Rahma; Soemarno Soemarno; Jati Batoro
Agricultural Socio-Economics Journal Vol. 22 No. 4 (2022): OCTOBER
Publisher : Socio-Economics/Agribusiness Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.agrise.2022.022.4.5

Abstract

One of endemic flora that has become an icon in the Bromo Tengger Semeru National Park (TNBTS) area is the Edelweiss Flower. The existence of tourism developments in the Bromo Tengger Semeru National Park (TNBTS) area makes the demand for Edelweiss flowers as souvenirs even greater. It affects the economic value of these commodities. The population decline threatens its availability for the Tengger indigenous people who use Edelweiss Flowers as offerings that other components cannot replace. Until 2017, several Wonokitri Village communities, under the guidance of TNBTS, formed a farmer group called Hulun Hyang to conserve the Edelweiss Flower ex-situ. It was a long journey for the Hulun Hyang farmer group to get a breeding permit from the KLHK regarding wanawiyata widyakarya. This study aims to measure the willingness to pay of Edelweiss Park tourists for edelweiss flowers from the Ex-Situ conservation of the Hulun Hyang Farmer Group and determine what factors influence the willingness to pay. This study uses primary data with the number of respondents as many as 100 respondents who were conducted randomly or random sampling. The contingent valuation method (CVM) approach can estimate willingness to pay. This study's analytical tool uses multiple linear regression on SPSS 22. Based on the analysis, the average willingness to pay per person for a simple series containing 100 stalks of Edelweiss flowers is Rp. 36,307.00, with a total value of willingness to pay Rp. 3,667,000.00. The factors that are thought to significantly influence the value of willingness to pay for Edelweiss Flowers from Ex-situ Conservation of the "Hulun Hyang" Farmer Group in the Bromo Tengger Semeru National Park are the latest education and monthly income.
ANALISIS KELAYAKAN DETEKSI CEPAT PENYAKIT HAWAR DAUN TANAMAN KENTANG PADA FASE AKHIR MENGGUNAKAN UAV: LATE BLIGHT FEASIBILITY ANALYSIS IN POTATOES USING UAV FOR QUICK DETECTION IN LATE-STAGE Istika Nita; Aditya Nugraha Putra; Antok Wahyu Sektiono; Sativandi Riza; Kurniawan Sigit Wicaksono; Dinna Hadi Sholikah; Wanda Kristiawati; Melati Julia Rahma
Jurnal HPT (Hama Penyakit Tumbuhan) Vol. 11 No. 3 (2023)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jurnalhpt.2023.011.3.2

Abstract

Produksi kentang di Indonesia berkontribusi + 0,3% dari total produksi dunia sebesar + 388.191.000 ton. Kentang merupakan komoditas hortikultura esensial di Indonesia dengan permintaan sekitar 2,82 kg ha-1 kapita-1 pada tahun 2021. Saat ini terjadi defisit ketersediaan kentang yang mencapai 4.845.910 ton yang diperparah dengan terus menurunnya produksi kentang nasional (1.164.738 ton). Penyakit hawar daun (Phytophthora infestans) merupakan salah satu masalah utama penyebab penurunan produksi kentang (kehilangan hasil antara 10-100%). Penyebaran penyakit hawar daun sulit untuk diidentifikasi secara real time, sehingga diperlukan teknologi tepat guna yang dapat memberikan informasi secara cepat dan akurat. Penelitian ini bertujuan untuk melihat bagaimana foto udara (dari UAV) memperkirakan sebaran penyakit hawar daun pada kentang. Foto UAV diubah menjadi indeks NDVI, RDVI, SAVI, SR, ARVI-2, DVI, IPVI, dan GCI. Data pengukuran indeks penyakit hawar daun akan dikorelasikan dan dipilih yang terbaik untuk mendapatkan rumus regresi distribusi spasial penyakit hawar daun. Lokasi penelitian berada di Kecamatan Bumiaji, Kota Batu, Indonesia. Titik pengamatan di lapangan sebanyak 50 titik pengamatan untuk setiap luasan 3 Ha. Hasil penelitian menunjukkan bahwa semua indeks berkorelasi positif (> r tabel 0,34). Korelasi tertinggi pada estimasi model dari indeks NDVI (0,72). Kondisi ini sejalan dengan koefisien regresi (R2) pada NDVI yang mencapai 0,51 dengan persamaan y = 20,779 * (angka indeks NDVI) + 49,146. Analisis t-paired menunjukkan bahwa t hitung pada model (-1,10) ada pada grafik t-tabel (2,16), dan ini menegaskan bahwa rumus tersebut dapat diandalkan untuk digunakan.
Co-Authors Aditya Nugraha Putra Albert Fernando Sitorus Alia Fibrianingtyas Antok Wahyu Sektiono Dinna Hadi Sholikah Istika Nita Jati Batoro Kurniawan Sigit Wicaksono Martiana Adelyanti Qoid Luqmanul Hakim Sativandi Riza Soemarno Soemarno Sudarto Sudarto Wanda Kristiawati