Claim Missing Document
Check
Articles

Found 16 Documents
Search

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.
Production Risk Analysis in Maize: Comparative Insights from Major Producing Countries Aminda, Fadilla Ristya; Dhamira, Aura; Sari, Ayu Kumala
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1621

Abstract

Increasing maize productivity is a strategic step for developing the global agricultural sector. Maize plays an important role as a source of food, feed, industrial raw materials, and energy sources. However, maize production faces internal risks, such as capital availability, management capacity, land ownership, and external risks, such as climate change, pest attacks, and limited agricultural inputs. This study discusses the development of maize production risks in ten major producing countries, including the USA, China, Brazil, Argentina, and Mexico. The study uses secondary data from FAOSTAT from 1961-2021 (61 years). The study uses a qualitative method by analysing maize production trends and risks using the coefficient of variation (CV) analysis. The analysis results show that the USA ranks first as the largest maize producer in the world, followed by China and Brazil, with an increasing trend over the past 61 years. This is related to adopting biotechnology, food production, and precision farming systems. France and the USA have low CV values of 0.36 and 0.40, indicating that the risk of maize production in the two countries is relatively low compared to the other eight countries. Maize stabilization in the USA is supported by implementing irrigation and precision farming models to reduce the impact of drought due to climate variability. On the other hand, Argentina, Ukraine, and Indonesia have high CV values, indicating a high risk of maize production in the three countries. Several factors causing high production risks are climate change in the form of increasing average annual temperatures, attacks of Maize Stunt Disease, political challenges, inaccurate use of fertilizers, low technology adoption, and limited resources.
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.
Production Risk Analysis in Maize: Comparative Insights from Major Producing Countries Aminda, Fadilla Ristya; Dhamira, Aura; Sari, Ayu Kumala
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1621

Abstract

Increasing maize productivity is a strategic step for developing the global agricultural sector. Maize plays an important role as a source of food, feed, industrial raw materials, and energy sources. However, maize production faces internal risks, such as capital availability, management capacity, land ownership, and external risks, such as climate change, pest attacks, and limited agricultural inputs. This study discusses the development of maize production risks in ten major producing countries, including the USA, China, Brazil, Argentina, and Mexico. The study uses secondary data from FAOSTAT from 1961-2021 (61 years). The study uses a qualitative method by analysing maize production trends and risks using the coefficient of variation (CV) analysis. The analysis results show that the USA ranks first as the largest maize producer in the world, followed by China and Brazil, with an increasing trend over the past 61 years. This is related to adopting biotechnology, food production, and precision farming systems. France and the USA have low CV values of 0.36 and 0.40, indicating that the risk of maize production in the two countries is relatively low compared to the other eight countries. Maize stabilization in the USA is supported by implementing irrigation and precision farming models to reduce the impact of drought due to climate variability. On the other hand, Argentina, Ukraine, and Indonesia have high CV values, indicating a high risk of maize production in the three countries. Several factors causing high production risks are climate change in the form of increasing average annual temperatures, attacks of Maize Stunt Disease, political challenges, inaccurate use of fertilizers, low technology adoption, and limited resources.