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Penyuluhan dan Pendampingan Kemasan Dan Labelling Produk Olahan Empon-Empon Untuk Peningkatan Daya Saing Produk Anggrasari, Herdiana; Dhamira, Aura; Sari, Ayu Kumala
JAPI (Jurnal Akses Pengabdian Indonesia) Vol 10, No 1 (2025)
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/japi.v10i1.6659

Abstract

 Kemasan yang menarik dengan label yang memberikan informasi lengkap dapat meningkatkan minat konsumen terhadap suatu produk. Kemasan dan labelling dapat memberikan nilai tambah bagi sebuah produk sehingga produk tersebut dapat bersaing. Kegiatan pengabdian kepada masyarakat berfokus pada penyuluhan dan pendampingan kemasan dan labelling pada produk olahan empon-empon yang dilaksanakan di Kelompok Wanita Tani (KWT) Srikandi I, Desa Candibinangun, Kapanewon Pakem, Kabupaten Sleman. Metode pelaksanaan kegiatan meliputi ceramah, diskusi, pelatihan, praktik, dan pendampingan. Hasil kegiatan menunjukkan peningkatan pengetahuan anggota KWT tentang pentingnya kemasan dan label pada produk olahan empon-empon. Pengetahuan tentang manfaat kemasan meningkat dari 80% menjadi 85%, dan pemahaman tentang pentingnya kesesuaian bentuk kemasan dengan jenis produk meningkat dari 55% menjadi 70%. Pengetahuan terkait manfaat label meningkat dari 70% menjadi 95%. Kegiatan ini diharapkan dapat meningkatkan daya saing produk olahan empon-empon yang diproduksi oleh KWT Srikandi I.
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.
The Determinants of Fuji Apple Sales on E-Commerce Platforms in Indonesia (Insights from Multiple Linear Regression Analysis) Herdiana Anggrasari; Rosita Dewati; Ayu Kumala Sari
Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo Vol. 26 No. 2 (2024)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37149/bpsosek.v26i2.1573

Abstract

E-commerce sites like Shopee, Tokopedia, and Bukalapak have multiplied in Indonesia, and this has completely changed how vendors offer their goods, especially agricultural goods like apples. These platforms provide a convenient and efficient means of reaching a broader consumer base, enabling sellers to compete in a dynamic digital marketplace. This study aims to analyze the key factors influencing Apple sales on e-commerce platforms, focusing on eight variables: price (X1), rating (X2), reviews (X3), reviews with pictures/videos (X4), seller type (X5), membership duration (X6), cashback promos (X7), and free shipping promos (X8). To achieve this goal, the researchers collected secondary data from the three platforms and employed a random sampling technique to select 40 apple sellers. Multiple linear regression analysis evaluated the relationship between these variables and total sales. The findings indicate that price, the number of reviews, and membership duration are significant predictors of Apple sales. Sellers who offer competitive pricing and accumulate positive reviews are more likely to attract buyers, while longer membership duration enhances credibility and trust among consumers. This study provides actionable insights for sellers aiming to optimize their sales strategies. By focusing on pricing, encouraging customer reviews, and building a trustworthy online presence, sellers can better navigate the competitive e-commerce environment. Additionally, these findings are valuable for e-commerce platform managers to refine their promotional tools and support mechanisms. The study illuminates agricultural e-commerce dynamics and shows how digital platforms can improve Apple's market accessibility and sales.
Kelimpahan Nematoda Parasit dan Nonparasit pada Tanaman Pisang (Musa paradisiaca L.) di Kabupaten Sleman dan Bantul, Daerah Istimewa Yogyakarta Miftahul Ajri; Azizah Ridha Ulilalbab; Mofit Eko Poerwanto; Danar Wicaksono; Ayu Kumala Sari; Septi Sri Rahmawati
Jurnal Ilmu-Ilmu Pertanian Vol. 33 No. 1 (2026): Jurnal Ilmu Ilmu Pertanian
Publisher : Politeknik Pembangunan Pertanian Yogyakarta-Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55259/jiip.v33i1.400

Abstract

Tanaman pisang (Musa paradisiaca L.) merupakan komoditas hortikultura penting yang produktivitasnya sering menurun akibat serangan nematoda parasit pada sistem perakaran. Penelitian ini bertujuan untuk mengidentifikasi nematoda parasit dan nonparasit yang berasosiasi dengan tanaman pisang di beberapa wilayah Kabupaten Sleman dan Bantul, Daerah Istimewa Yogyakarta. Sampel tanah dan akar tanaman pisang diambil dari lima lokasi, yaitu Turi, Pakem, Ngaglik, Condongcatur, dan Banguntapan. Ekstraksi nematoda dilakukan menggunakan metode Whitehead tray yang dimodifikasi, sedangkan identifikasi dilakukan berdasarkan karakter morfologi dengan menggunakan mikroskop. Data faktor lingkungan seperti pH tanah, kelembapan, suhu, ketinggian tempat, dan koordinat lokasi digunakan sebagai data pendukung dalam analisis deskriptif. Hasil pengamatan menunjukkan bahwa keberadaan nematoda parasit dan nonparasit pada sampel tanah dan akar bervariasi antarlokasi. Nematoda parasit didominasi oleh Pratylenchus spp. dan Helicotylenchus spp., dengan populasi tertinggi ditemukan di Ngaglik pada sampel tanah maupun akar. Genus Pratylenchus spp. dominan ditemukan pada sampel akar, sedangkan Helicotylenchus spp. lebih banyak ditemukan pada sampel tanah. Nematoda nonparasit yang ditemukan meliputi Mononchus sp., Steinernema sp., Rhabditis sp., dan Metarhabditis sp. Keberadaan Mononchus sp. menunjukkan potensi interaksi predator–mangsa dalam komunitas nematoda tanah, sedangkan Steinernema sp. berpotensi sebagai agen pengendali hayati. Variasi populasi nematoda antarlokasi diduga dipengaruhi oleh faktor lingkungan seperti pH tanah, kelembapan, suhu, dan ketinggian tempat. Penelitian ini memberikan informasi dasar mengenai keberadaan nematoda pada pertanaman pisang di Kabupaten Sleman dan Bantul yang dapat dimanfaatkan sebagai acuan dalam pengelolaan nematoda secara berkelanjutan.