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All Journal SOCA: Jurnal Sosial Ekonomi Pertanian AGRIEKONOMIKA JTSL (Jurnal Tanah dan Sumberdaya Lahan) agriTECH AGRARIS: Journal of Agribusiness and Rural Development Research Agro Ekonomi Jurnal SEPA (Social Economic and Agribusiness Journal) Jurnal Agribisnis Terpadu PROSIDING SEMINAR NASIONAL AGRIBISNIS Jurnal Pertanian Agros JAST : Jurnal Aplikasi Sains dan Teknologi JURNAL AGRICA Jurnal Jamu Indonesia Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) AgriHealth: Journal of Agri-food, Nutrition and Public Health Jurnal Dinamika Sosial Ekonomi IJECS: Indonesian Journal of Empowerment and Community Services Jurnal Pengabdian kepada Masyarakat Jurnal Serambi Abdimas Agrifitia: Journal of Agribusiness Plantation Journal of ASEAN Dynamics and Beyond JAPI: Jurnal Akses Pengabdian Indonesia Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo JIA (Jurnal Ilmiah Agribisnis) : Jurnal Agribisnis dan Ilmu Sosial Ekonomi Pertanian West Science Interdisciplinary Studies West Science Interdisciplinary Studies Agrifo: Jurnal Agribisnis Universitas Malikussaleh Kurnia Mengabdi (jurnal Pengabdian Kepada Masyarakat) Economic Development Analysis Journal Indonesian Journal of Jamu Journal Of Advance In Social Sciences And Policy
Anggrasari, Herdiana
Agribusiness Department, Faculty Of Agriculture UPN Veteran Yogyakarta
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Journal : West Science Interdisciplinary Studies

 1 
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

Abstract

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

Abstract

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

Abstract

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.
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

Abstract

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

Abstract

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

Abstract

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.
Co-Authors Agus Dwi Nugroho Agus Dwi Nugroho Agus Dwi Nugroho, Agus Dwi Aminda, Fadilla Ristya Anung Pranyoto Arif - Umami Arif Wahyu Widada Aura Dhamira Ayu Kumala Sari Danik Nurjanah Dhika Cahyasita Dinda Dewi Aisyah Eko Prasojo Endang Tri Wahyuni Eri Yusnita Arvianti Erwin Ismu Wisnubroto Fadilla Ristya Aminda Fadilla Ristya Arminda Hani Perwitasari Hani Perwitasari, Hani I Made Yoga Prasada I Made Yoga Prasada I Made Yoga Prasada Jangkung Handoyo Mulyo Jangkung Handoyo Mulyo Jangkung Handoyo Mulyo Lumbantobing, Steven Colbert Maheresmi, Handani Masyhuri Masyhuri Muhamad Ridwan Muhamad Ridwan Nada, Lintia Putri NI KADEK EMA SUSTIA DEWI Ninuk Purnaningsih Pamungkas, Leo Dadyo Perdana, Putri Pinjung Nawang Sari Pinjung Nawang Sari Prasada, I Made Yoga Prasada, I Made Yoga Prasada, I Made Yoga Putri Perdana Putri Perdana putri, Saraswati Kirana Putri, Saraswati Kirana Putri, Saraswati Kirana Rahman, Raihan Khalifah Rahmawati Setiyani Refa'ul Khairiyakh Rr. Eko Giyartiningrum Saputro, Wahyu Adhi Sarastika, Tiara Saraswati Kirana Putri Saraswati Kirana putri Saraswati Kirana Putri Setiyani, Rahmawati Setyaningsih, Arfin Sudati Nur Sarfiah Sugiyarto Sugiyarto Suji’ah, Uju Trisna Wahyu Swasdiningrum Putri Uju Suji’ah Wahidyanti Rahayu Hastutiningtyas Wahyu Adhi Saputro Yudhistira Saraswati