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All Journal Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) KARYA: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah SOSIO AGRIBIS Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Jurnal Informasi Pengabdian Masyarakat Journal of Community Service (JCOS) Jurnal BisTek Pertanian : Agribisnis dan Teknologi Hasil Pertanian
Fatchur Rozci
Universitas Pembangunan Nasional Veteran Jawa Timur
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Jurnal Ilmiah SOSIO AGRIBIS

 1 
Penerapan Metode Regresi Least Absolute Shrinkage and Selection Operator (LASSO) dan Regresi Linier untuk Memprediksi Tingkat Kemiskinan di Indonesia Eka Rossalina Fitria; Fatchur Rozci
Jurnal Ilmiah Sosio Agribis Vol 22, No 2 (2022): Jurnal Ilmiah Sosio Agribis Vol 22 No 2
Publisher : Study Program of Agribusiness, Faculty of Agriculture, University of Wijaya Kusuma Surabay

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/jisa22220222620

Abstract

Poverty is defined as a situation where a person or family is unable to meet the basic needs for survival, such as clothing, food, shelter, and education. This study aims to compare the accuracy of the Least Absolute Shrinkage and Selection Operator (Lasso) regression method and linear regression in predicting poverty levels in Indonesia and to choose the best model from the two methods used. The results of this study indicate that of the two algorithms used, namely the linear regression algorithm and Lasso regression, the algorithm that has a higher level of accuracy for predicting poverty rates in each province in Indonesia is the linear regression algorithm because it has a lower MSE value and has the value of R^2 is closer to 1 than the Lasso regression algorithm. In addition, the results of the analysis show that the variables that have the highest influence on poverty rates in provinces in Indonesia are education, as well as the Human Development Index (IPM).Keywords: Poverty Rate Prediction, Lasso Regression, Linear Regression
Analisis Faktor Alih Fungsi Lahan Pertanian ke Non Pertanian di Jawa Timur Fatchur Rozci; Ida Syamsu Roidah
Jurnal Ilmiah Sosio Agribis Vol 23, No 1 (2023): Jurnal Ilmiah Sosio Agribis Vol 23 No 1
Publisher : Study Program of Agribusiness, Faculty of Agriculture, University of Wijaya Kusuma Surabay

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/jisa23120233192

Abstract

ABSTRACTThis research has the aim of analyzing and knowing the impact that has occurred on the conversion of agricultural land to non-agricultural land in East Java. This research uses a qualitative approach with descriptive research methods. The data used comes from several national journal literatur. The analysis used in this study uses descriptive analysis. The results showed that the transition was caused by two factors, namely direct (micro) factors such as education level, income, economic capacity, land tax, land price, and land location. Second, indirect (macro) factors related to land conversion that occur at the regional level do not directly influence farmers' decisions. This also has a positive impact on meeting the needs for community growth such as fulfilling settlements, industry and other supporting facilities. As well as the negative impact it causes a decrease in farmers' income which indirectly eliminates the livelihoods of farm workers so that the threat of a food crisis will appear in this country.Keywords: land use change, land conversion, income farmers.ABSTRAKPenelitian ini memiliki tujuan untuk menganalisis dan mengetahui dampak yang telah terjadi terhadap konversi lahan pertanian menjadi lahan non pertanian di Jawa Timur. Penelitian ini menggunakan pendekatan kualitatif dengan metode penelitian deskriptif. Data yang digunakan berasal dari beberapa literatur jurnal nasional. Analisis yang digunakan dalam penelitian ini menggunakan analisis deskriptif. Hasil penelitian menunjukkan bahwa transisi disebabkan oleh dua faktor, yaitu faktor langsung (mikro) seperti tingkat pendidikan, pendapatan, kapasitas ekonomi, pajak tanah, harga tanah, dan lokasi tanah. Kedua, faktor tidak langsung (makro) terkait konversi lahan yang terjadi di tingkat daerah tidak secara langsung mempengaruhi keputusan petani. Hal ini juga berdampak positif terhadap pemenuhan kebutuhan pertumbuhan masyarakat seperti pemenuhan permukiman, industri dan fasilitas pendukung lainnya. Serta dampak negatifnya menyebabkan penurunan pendapatan petani yang secara tidak langsung menghilangkan mata pencaharian buruh tani sehingga ancaman krisis pangan akan muncul di negeri ini.Kata Kunci: Perubahan penggunaan lahan, konversi lahan, pendapatan petani.
DAMPAK PERUBAHAN IKLIM TERHADAP SEKTOR PERTANIAN PADI Fatchur Rozci
Jurnal Ilmiah Sosio Agribis Vol 23, No 2 (2023): Jurnal Ilmiah Sosio Agribis Vol 23 No 2
Publisher : Study Program of Agribusiness, Faculty of Agriculture, University of Wijaya Kusuma Surabay

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/jisa23220233476

Abstract

The phenomenon of greenhouse gases causes the impact of climate change which results in an increase in the earth's temperature. This research was conducted with the aim of knowing whether there are indications of climate change that is occurring, the amount of contribution of greenhouse gas emissions in the agricultural sector, the impact of climate change on the agricultural sector, to the efforts needed to deal with climate change in the agricultural sector using secondary data with qualitative research through literature review approach. The existence of indications of climate change is something that is common for farmers which is an obstacle in the agricultural sector. Climate change cannot be eliminated, but can be minimized by taking steps to anticipate and adapt to climate change. Most of the gas comes from microbial decomposition, burning of plant litter and soil organic matter. Climate change not only causes global warming and sea level rise, but also threatens food security because it can have a negative impact on the agricultural sector, especially crop loss. These adaptation activities include developing and accelerating the adoption of agricultural technologies that are more productive and more adaptive to climate change.Keywords : Climate Change, Agricultural, Impact, Greenhouse Gases, Farmers. 
Co-Authors Achmad Syaifulloh Alvina Widya Oktaviani Bayhakhi Maulana Kaffy Salwa Davina Azalia Erson Deyon Yanuar Fitranto Dhian Satria Yudha Dita Atasa Dona Wahyuning Laily Eka Rossalina Fitria Ernik Ernawati Hendra Maulana IDA SYAMSU ROIDAH Ida Syamsu Roidah Ika Purnamasari Jumiatik Laila Annisa Laksmi Diana mohamad fikri azam Muhammad Ikhsan Fitrianata Muhammad Imam Rudi J Silitonga Salsabila Ika Puspita Zhela Maritsya