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The Role of Urban Farming in Improving Community Welfare and Urban Food Security: Case Study of Farmers Group of Giwangan Village, Yogyakarta City Laksmi Yustika Devi; Latri Wihastuti; Marsyella Tri Ariyani; Meilani Putri Insani; Fidya Sekar Kinanti
EKO-REGIONAL Vol 18, No 1 (2023)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.erjpe.2023.18.1.3311

Abstract

In many developing countries, the process of urbanization goes hand in hand with increasing urban poverty, food insufficiency and malnutrition, as well as rising unemployment rates. These urban problems are also found in the city of Yogyakarta. Therefore, since 2018, the City Government of Yogyakarta has initiated urban farming activities as a manifestation of efforts to create independent food security by the community. The urban farming activity is carried out on a micro scale through the role of farmer groups as evidenced by the growing number of small-scale farmer groups, namely the village level. Previous studies on urban farming have focused on obtaining quantitative data so that an assessment of the environmental, economic and social impacts of these activities can be carried out. This study also has the same focus with specific objectives, namely: 1) identifying the socio-economic profile of urban farming actors in Giwangan Village, Yogyakarta City and 2) identifying the role of urban farming in efforts to improve community welfare and urban food security in Giwangan Village, Yogyakarta City. The results show that respondents were engaged in urban farming as a hobby/recreation (26.7 percent) and to increase income (26.7 percent). Most of respondents get income from the sale of urban farming of less than 1 million Rupiah per month. Most of respondents (83.3 percent) considered that their urban farming activity was successful because it was able to reduce family’s food expenditures.Keywords: City of Yogyakarta, Urban Farming, Food Security, Public Welfare
PERAMALAN DATA IHSG 2021-2025 DI INDONESIA DENGAN TIME SERIES MODELING AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Gempati, Abel; Faisal Agymnastiar Rahmad Fradani; Rayya Malik Ibrahim; Tenry Kusuma Astuti; Yusuf Riyan Prasetyo; Laksmi Yustika Devi
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 3 No. 5 (2025): JURNAL ILMIAH EKONOMI DAN MANAJEMEN (JIEM) Mei
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v3i5.4650

Abstract

The real-time and fluctuating movements of the Indonesian Stock Exchange Composite Stock Price Index (Composite Stock Price Index) are often used by stakeholders, especially investors, as a reference in making investment decisions. This research aims to predict the Indonesian Stock Exchange Composite Stock Price Index (IDX Composite Index) using the Autoregressive Integrated Moving Average (ARIMA) time series model. Based on the results of research that has been carried out, the ARIMA model chosen is ARIMA 1 1 1. Therefore, by using this model forecasts can be made for ten weeks.
PEMETAAN WILAYAH KABUPATEN PEKALONGAN BERDASARKAN INDIKATOR KEMISKINAN PRIORITAS Laksmi Yustika Devi; Muhammad Iqbal Taftazani
E-Jurnal Kajen Vol 2 No 02 (2018): Jurnal Penelitian Pengembangan dan Pembangunan Vol 02 No 02 (2018)
Publisher : Bapperida Kabupaten Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54687/jurnalkajenv02i02.1

Abstract

Banyaknya indikator kemiskinan menyebabkan perlunya menentukan indikator tersebut hierarki untuk mendapatkan indikator kemiskinan prioritas. Penentuan prioritas indikator dapat membantu program penanggulangan kemiskinan oleh Daerah Organisasi Pemerintah (OPD) dialokasikan secara tepat sesuai dengan kebutuhan dan target. Apalagi untuk mengalokasikan program kemiskinan ke kanan lokasi, perlu memetakan Kabupaten Pekalongan berdasarkan prioritas indikator kemiskinan. Studi ini menggabungkan Proses Hirarki Analitik (AHP) metode untuk menentukan indikator kemiskinan prioritas dan Geografis Sistem Informasi (SIG) untuk memetakan Kabupaten Pekalongan berdasarkan prioritas ini indikator. Indikator kemiskinan yang digunakan adalah kondisi rumah, energi sumber, pengeluaran untuk makanan, kepemilikan aset / barang berharga, akses ke kesehatan fasilitas, pekerjaan kepala rumah tangga dan pendidikan kepala rumah tangga. Hasil pembobotan indikator dengan AHP menunjukkan hal itu indikator kemiskinan prioritas adalah kondisi rumah, kepemilikan aset, sumber energi, pendidikan, kesehatan, pekerjaan dan pengeluaran untuk makanan. Kecamatan yang perlu mendapat prioritas program pengentasan kemiskinan adalah kecamatan dengan warna merah di peta berdasarkan indikator kemiskinan yang digunakan, mereka adalah Petungkriyono, Kandangserang, Bojong, Paninggaran, Karanganyar, Siwalan, Doro, Talun, Lebakbarang, Wonopringgo, Karangdadap, Buaran, Wonokerto.