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All Journal SOCA: Jurnal Sosial Ekonomi Pertanian Jurnal Pendidikan Ekonomi Undiksha Sosiohumaniora Jurnal Sosial Ekonomi Pertanian Jurnal Sosial Ekonomi Pertanian AGRIKA Forum Agribisnis JURNAL AGRILAND Jurnal Penelitian Pertanian Terapan Agrin : Jurnal Penelitian Pertanian Jurnal Pertanian Agros Agrisocionomics: Jurnal Sosial Ekonomi Pertanian JURNAL AGRICA AGRINESIA: Jurnal Ilmiah Agribisnis Unri Conference Series: Agriculture and Food Security Jurnal Ekonomi dan Manajemen JIA (Jurnal Ilmiah Agribisnis) : Jurnal Agribisnis dan Ilmu Sosial Ekonomi Pertanian ZIRAA'AH MAJALAH ILMIAH PERTANIAN Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat paradigma agribisnis
Hendrik Johannes Nadapdap
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Jurnal Penelitian Pertanian Terapan

 1 
Productivity Dynamic of Rice, Corn, and Soybean in Java, Indonesian Nadapdap, Hendrik Johannes
Jurnal Penelitian Pertanian Terapan Vol 17, No 1 (2017)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.211 KB) | DOI: 10.25181/jppt.v17i1.2

Abstract

This study analyzes productivity, productivity growth variability and variety coefficient of rice, corn, and soybeans on the island of Java. The data used in this research is secondary data in time series obtained from the Central Bureau of Statistics from 1996 to 2015. The research shown that the highest rice production in East Java are 5.5 tons per hectare, the highest maize production in West Java are 4.84 tons per hectare and the highest soybean production in Central Java are 1.47 tons per hectare. The highest productivity growth of rice occurred in Banten, while the highest for corn is in West Java, and the highest for soybean is in Central Java. The highest variability in rice productivity achieved by the province of East Java, while the highest for corn commodity is in West Java, and the highest for soybean is in Central Java. The highest coefficient of rice productivity variation is in Banten, while the highest of corn in West Java and the highest of soybeans in DI. Yogyakarta.Keywords: corn, soybeans, rice, productivity, variability
Strategi Pengembangan Agribisnis Teh PT Perkebunan Tambi Kabupaten Wonosobo Satria Eka Pratama; Hendrik Johannes Nadapdap
Jurnal Penelitian Pertanian Terapan Vol 19 No 1 (2019)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jppt.v19i1.1395

Abstract

This research aims to 1) Know the strengths and weaknesses as well as opportunities and threats of internal and external factors at Tambi Plantation, Wonosobo Regency. 2) Formulating alternative choices of tea business development strategies that can be recommended at PT Tambi Plantation, Wonosobo Regency. The implementation of this study began in February until March 2019 and the research location was at PT Perkebunan Tambi. The data analysis technique in this study uses the IFE, EFE, IE, SWOT and QSPM matrices. The results of this study are PT Perkebunan Tambi has 10 strength factors, 5 weakness factors, 7 opportunity factors and 5 threat factors faced by the company and 10 alternative development strategies are recommended for the company.
Risiko Usahatani Mangga di Kecamatan Rembang Jawa Tengah Hendrik Johannes Nadapdap; Bobby Rachmat Saefudin
Jurnal Penelitian Pertanian Terapan Vol 20 No 2 (2020)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jppt.v20i2.1592

Abstract

Production fluctuation are an indication of production risk. Kragan District is one of the largest producers of mango in Rembang Regency. The production of mangoes produced by Kragan Subdistrict is still relatively low so this research aims to measure the level of risk, find out the factors that influence production and find out the factors that influence the risk of mango production in the Kragan Subdistrict. The object of this study was 31 mango farmers. The measure to calculate the level of risk is the standard deviation and the coefficient variation. The magnitude of the effect of the use of inputs on production risk is analyzed using multiple linear regression with the heteroscedastic method. The results of the calculation of production risk were analyzed using standard deviation and coefficient variation (KV) and having a standard deviation of 66.87 and the coefficient variation is 0.84, this shows that the high chance of production risk in conducting mango farming by 84 percent. Factors that significantly affect the production of mangoes in Kragan Subdistrict are the number of mango trees, organic fertilizers and inorganic fertilizers while the factors that significantly influence the risk of mango production are the number of trees and labor.  
Co-Authors Acditilis Andono Putra Arrenda Giovanni Bayu Nuswantara Bobby Rachmat Saefudin Christian Vieri Damara Dinda Nirmalasari Zebua Dina Rotua Valentina Banjarnahor Elly Rasmikayati Evan Stefanus Aprilianto Rinaldi Fitri Awaliyah Idris Santoso Imam Fausi Ivan Alexander Khabo Say Boy Sihombing Lasmono Tri Sunaryanto Liska Simamora Maria Maria Maria Marina Herawati Nila Kandi Nugraheni Widyawati Putra, Acditilis Andono Raditya Johan Kristono Robertus Eri Triawan Ruth Manimabi Satria Eka Pratama Sony Heru Priyanto Stanie Aster Wijaya Sujanto Sujanto Suprihati Suprihati Surlianto - Surlianto Theresa Dwi Kurnia Tinjung Mary Prihtanti Vieri, Christian Wulandari, Maria Winanda Yoga Aji Handoko Yuliana, Agata