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Effectiveness of Food Barn in Improving Rice Farmers Income Refa'ul Khairiyakh; Hani Perwitasari; Herdiana Anggrasari
SOCA: Jurnal Sosial Ekonomi Pertanian Vol 18 No 2 (2024): Vol 18 No 2 (2024)
Publisher : Program Studi Agribisnis, Fakultas Pertanian, Universitas Udayana Jalan PB.Sudirman Denpasar, Bali, Indonesia. Telp: (0361) 223544 Email: soca@unud.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SOCA.2024.v18.i02.p05

Food barn is a program created to realize food security at the micro level through the maintenance of food availability as one implemented in Bantul. This study aims to investigate the implementation of food barn management and the effectiveness of food barn in increasing rice farmers’ income. Located at Timbul Asih Food Barn, Bantul Regency, this study collected the respondents involving ten rice farmers who were members of the food barn using a census system, and 35 non-members using random sampling. The implementation of food barn management was analyzed descriptively, while the effectiveness of the food barn program in increasing the farmers’ income was analyzed using an independent t-test. The results reveal that Timbul Asih Food barn in Bantul Regency has applied five management functions; however, the addition of members is necessary for the dynamic operation of Timbul Asih Food Barn. The t-test analysis indicates that there is no significant income difference between the member farmers and those who were not members of the food barn. This implies that the presence of food barn is not yet effective in increasing the income of its members

Rantai Nilai Cabai di Lahan Pasir Pantai Kabupaten Kulon Progo Agus Dwi Nugroho; I Made Yoga Prasada; Saraswati Kirana Putri; Herdiana Anggrasari; Pinjung Nawang Sari
Economics Development Analysis Journal Vol 7 No 4 (2018): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v7i4.25013

Tujuan penelitian ini adalah mengetahui rantai nilai cabai di lahan pasir pantai Kabupaten Kulon Progo. Penelitian ini dilakukan antara bulan Mei sampai Agustus 2017 di Kecamatan Panjatan, Kabupaten Kulon Progo, Provinsi Daerah Istimewa Yogyakarta. Responden penelitian yakni 30 petani dan pedagang cabai. Hasil penelitian menunjukkan rantai nilai cabai di lahan pasir pantai telah berlangsung dengan baik. Indikator aliran produk, uang dan informasi termasuk dalam kategori lancar dan sangat lancar. Keberhasilan usahatani dan pemasaran cabai di lahan pasir pantai karena keberadaan pasar lelang yang mampu menjamin terjualnya produk dengan harga menguntungkan bagi petani dan pedagang. Salah satu hal yang perlu dikembangkan pasar lelang adalah perlunya kepastian informasi ketersediaan stok cabai dari petani sehingga dapat digunakan sebagai salah satu solusi untuk mengurangi fluktuasi harga cabai. Pasar lelang perlu memperluas jaringan binaan kelompok tani agar ada kontinuitas stok cabai sepanjang tahun. The value chain needs to be known by farmers or industries to increase value-added and profits of commodities, including chilli in the sandy coastal area. The purpose of this research is to know the value chain of chilli in the sandy coastal area Kulon Progo Regency. This research was conducted between May until August 2017, in Panjatan District, Kulon Progo Regency, Yogyakarta Province. The respondents were 30 farmers and traders. The results showed that the value chain of chilli in the sandy coastal area has been going well. The product, financial and information flow indicators in the smooth and very smooth categories. The success of farming and marketing of chilli in the sandy coastal area because of the existence of the auction market. Itâ€™s able to guarantee the sale of chilli with the best price for farmers and traders. To develop the auction market, its need for a certainty the availability of chilli stock from farmers so it can be used as a solution to reduce the fluctuation of chilliâ€™s price. The auction market needs to expand the network of farmer groups to ensure continuity of chilli stock every year.

Development of Leading Commodities for Vegetable and Fruit Crops in Brebes Regency, Central Java Fadilla Ristya Aminda; Ayu Kumala Sari; Herdiana Anggrasari
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.607

Determining leading commodities is very important to increase regional competitiveness in economic development. This research aims to identify leading commodities for vegetable and fruit crops in the Brebes Regency, analyze the continuity of leading commodities, and determine the pattern and structure of leading commodities. The research uses a quantitative approach with secondary data for 2018-2022. Data were analyzed using the Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology analysis methods. The analysis results show that Brebes Regency's leading commodities for vegetable and fruit crops are shallot, rose apple, mango, banana, sapodilla, breadfruit, apple, melinjo, and twisted cluster bean. Potential commodities that have the opportunity to become leading commodities in the future are welch onion, yard long bean, chilli, cayenne pepper, tomato, eggplant, green bean, chayote, duku, guava, tangerine, mangosteen, pineapple, papaya, rambutan, salacca, grape, and jengkol. The pattern and structure of vegetable and fruit crops in Brebes Regency, which is considered advanced and fast-growing, is shallots. Plants with fast-growing patterns and structures are garlic, Welsh onion, cabbage, yard long bean, chili, cayenne pepper, tomato, eggplant, green bean, cucumber, chayote, water spinach, melon, watermelon, star fruit, duku, durian, rose apple, tangerine, mangosteen, pineapple, papaya, banana, grape, and jengkol.

Analysis of Fruit Consumer Satisfaction in an Online Purchasing System Using an E-commerce Platform: A Naive Bayes Approach Ayu Kumala Sari; Herdiana Anggrasari; Rahmawati Setiyani
West Science Interdisciplinary Studies Vol. 2 No. 03 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i03.690

E-commerce platforms have now developed into fresh agricultural products, one of which is fruit. Purchasing online means customers cannot choose their own products like in offline stores. Therefore, the aim of this research is to identify the attributes that consumers often talk about and analyze consumer satisfaction with fruit on e-commerce platforms. Data analysis in this research was carried out using descriptive statistical methods and the Naïve Bayes approach. Data was taken from the Tokopedia platform with a total of 316 reviews using random sampling. The research results show that the attributes most frequently reviewed by consumers are service attributes (49%) and product attributes (44%), while the price attribute is reviewed the least (7%). Attributes related to product, price and service were assessed as having negative performance overall because nine of the twelve attributes analyzed indicated consumer dissatisfaction. Seller reviews are very important for business continuity so that sellers can improve their services and pay more attention to product quality so that the reviews appear positive. Research using the naive Bayes approach to determine customer satisfaction sentiment towards fruit products has not been widely carried out so the results of this research can complement previous studies.

Indonesian Climatic Factors and Its Effect on Cocoa Productivity Aura Dhamira; Herdiana Anggrasari
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.873

One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.

Exploring the psychological determinants of household's intention to reduce food waste: Insight from Yogyakarta Indonesia Herdiana Anggrasari; Dhika Cahyasita; Muhamad Ridwan
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 4 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.04.9

Food waste's negative effects on the environment and monetary losses have made it a major concern. Food waste at the consuming stage has been directly affected by customer purchasing behaviour. Moreover, the majority of food waste happens within households. This means examining the reasons behind household food waste behaviour is a potential safeguard against food waste issues. This research aimed to analyze household food waste behavior in the Special Region of Yogyakarta after the COVID-19 pandemic. This study was conducted with a questionnaire survey from June to July 2023 to households in the Yogyakarta Special Region. Data was collected purposively using online and offline methods simultaneously. A total of 245 responses were obtained, and 203 were valid for use. Partial Least Square Structural Equation Modeling (PLS-SEM) was used as the analytical method. The research results showed that psychological factors such as attitudes, perceived behavioral control, emotions, moral beliefs, and knowledge about food management influenced households' intentions to reduce food waste. By examining the factors that affect food waste, it is hoped that this research will advance our understanding of trends in food waste behavior at the household consumer level in developing nations.

ANALISIS DAYA DUKUNG LAHAN PERTANIAN SEBAGAI UPAYA MENDUKUNG KETERSEDIAAN PANGAN DI KAWASAN SLEMAN TENGAH Sarastika, Tiara; Anggrasari, Herdiana
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.12

The Central Sleman area is a peri-urban area directly adjacent to Yogyakarta, making land conversion increasingly prevalent and unavoidable. In comparison, the Central Sleman area has a role as one of the food barns due to fertile land conditions and is suitable for agriculture. Intensive conversion of agricultural land to non-agricultural land will result in the loss of productive agricultural land, resulting in decreased rice production. This will result in high rice imports and reduced employment in the agricultural sector. This research aims to analyze the development of agricultural land use, its projection, and the carrying capacity of agricultural land in the Central Sleman Region. The calculation of the agricultural land carrying capacity is based on Odum, Howard, and Issard. The results showed that the Central Sleman Area has a decreasing rate of change in the agricultural land area every year in Kapanewon. The calculation results of agricultural land's carrying capacity show that in 2020, land's carrying capacity exceeded 0.83. The results of the projection calculation in 2024 found that 4 out of 5 Kapanewon in the Central Sleman Region cannot achieve food self-sufficiency. Therefore, efforts are needed to increase the carrying capacity of agricultural land, mainly through increasing the productivity of food crops and protecting agricultural land from land conversion.

Development of Leading Commodities for Vegetable and Fruit Crops in Brebes Regency, Central Java Aminda, Fadilla Ristya; Sari, Ayu Kumala; Anggrasari, Herdiana
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.607

Determining leading commodities is very important to increase regional competitiveness in economic development. This research aims to identify leading commodities for vegetable and fruit crops in the Brebes Regency, analyze the continuity of leading commodities, and determine the pattern and structure of leading commodities. The research uses a quantitative approach with secondary data for 2018-2022. Data were analyzed using the Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology analysis methods. The analysis results show that Brebes Regency's leading commodities for vegetable and fruit crops are shallot, rose apple, mango, banana, sapodilla, breadfruit, apple, melinjo, and twisted cluster bean. Potential commodities that have the opportunity to become leading commodities in the future are welch onion, yard long bean, chilli, cayenne pepper, tomato, eggplant, green bean, chayote, duku, guava, tangerine, mangosteen, pineapple, papaya, rambutan, salacca, grape, and jengkol. The pattern and structure of vegetable and fruit crops in Brebes Regency, which is considered advanced and fast-growing, is shallots. Plants with fast-growing patterns and structures are garlic, Welsh onion, cabbage, yard long bean, chili, cayenne pepper, tomato, eggplant, green bean, cucumber, chayote, water spinach, melon, watermelon, star fruit, duku, durian, rose apple, tangerine, mangosteen, pineapple, papaya, banana, grape, and jengkol.

Analysis of Fruit Consumer Satisfaction in an Online Purchasing System Using an E-commerce Platform: A Naive Bayes Approach Sari, Ayu Kumala; Anggrasari, Herdiana; Setiyani, Rahmawati
West Science Interdisciplinary Studies Vol. 2 No. 03 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i03.690

E-commerce platforms have now developed into fresh agricultural products, one of which is fruit. Purchasing online means customers cannot choose their own products like in offline stores. Therefore, the aim of this research is to identify the attributes that consumers often talk about and analyze consumer satisfaction with fruit on e-commerce platforms. Data analysis in this research was carried out using descriptive statistical methods and the Naïve Bayes approach. Data was taken from the Tokopedia platform with a total of 316 reviews using random sampling. The research results show that the attributes most frequently reviewed by consumers are service attributes (49%) and product attributes (44%), while the price attribute is reviewed the least (7%). Attributes related to product, price and service were assessed as having negative performance overall because nine of the twelve attributes analyzed indicated consumer dissatisfaction. Seller reviews are very important for business continuity so that sellers can improve their services and pay more attention to product quality so that the reviews appear positive. Research using the naive Bayes approach to determine customer satisfaction sentiment towards fruit products has not been widely carried out so the results of this research can complement previous studies.

Indonesian Climatic Factors and Its Effect on Cocoa Productivity Dhamira, Aura; Anggrasari, Herdiana
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.873

One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.

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