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Meningkatkan Nilai Ekonomi Ubi Cilembu Melalui Transformasi Pemasaran dan Kolaborasi Masyarakat Sukmawati, Dety; Roswinna, Winna; Marina, Ida; Marina, Siti; Ghifari, Syahrul Argi; Falahudin, Aaf
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v6i1.11894

Program pengabdian masyarakat bertujuan untuk meningkatkan produktivitas dan daya saing UMKM Ma Utik, produsen ubi Cilembu di Desa Cilembu, Kecamatan Pamulihan, Kabupaten Sumedang. Metode pelaksanaan pengabdian ini dilakukan secara sistematis melalui tahapan sosialisasi, pelatihan intensif, penerapan solusi teknologi, pendampingan, dan evaluasi. Program ini berfokus pada pengembangan keberlanjutan melalui peningkatan keterampilan mitra dalam strategi pemasaran, manajemen usaha, pengembangan jaringan distribusi, dan inovasi produk. Hasil program menunjukkan adanya peningkatan signifikan dalam berbagai aspek. Pemahaman dan penerapan strategi pemasaran digital yang semula 40% meningkat menjadi 80%, setelah mitra dibekali dengan keterampilan dalam branding, promosi digital, dan penggunaan media sosial. Kemampuan manajemen usaha yang awalnya hanya 45% meningkat menjadi 85% melalui pelatihan dalam perencanaan bisnis dan pengelolaan keuangan. Selain itu, efektivitas jaringan distribusi meningkat dari 35% menjadi 75%, setelah pelatihan terkait negosiasi dan pembinaan hubungan dengan distributor. Inovasi produk juga mengalami peningkatan, di mana mitra berhasil mengembangkan produk baru, seperti keripik ubi dan ubi panggang, yang meningkatkan tingkat inovasi dari 30% menjadi 70%. Secara keseluruhan, program pengabdian ini berhasil memberikan solusi yang efektif dan berkelanjutan dalam meningkatkan daya saing dan produktivitas mitra. Kolaborasi masyarakat dan pendekatan sistematis terbukti menjadi strategi yang efektif dalam mengatasi tantangan yang dihadapi oleh UMKM lokal, sekaligus meningkatkan kesejahteraan ekonomi masyarakat

Smart Agriculture: Optimizing Soybean Cultivation Through Technology In Crop Monitoring Sujadi, Harun; Marina, Ida; Koswara, Engkos; Rakhmi Indriana, Kovertina; Sukmawati, Dety
Greenation International Journal of Engineering Science Vol. 1 No. 2 (2023): (GIJES) Greenation International Journal of Engineering Science (June 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.92

The objective of this study is to optimise the productivity of soybean production through the integration of agricultural technologies inside plant monitoring systems. The objective of incorporating technology is to enhance the monitoring and management processes of soybean crops, with the ultimate goal of improving productivity and boosting harvest yields.This paper presents a proposal for the use of diverse agricultural technologies, including soil sensors, environmental sensors, drones, and data analysis based on artificial intelligence. Soil and environmental sensors are utilised for the purpose of monitoring soil conditions, moisture levels, and weather conditions in the vicinity of soybean agricultural fields. Drones are employed for comprehensive terrestrial surveillance and prompt identification of botanical concerns. The utilisation of artificial intelligence in data analysis involves the processing of information gathered from sensors and drones, enabling the provision of real-time insights and recommendations to farmers.By incorporating these agricultural technologies, it is anticipated that farmers would be able to effectively and efficiently utilise resources such as water, fertilisers, and pesticides, ensuring optimal usage in terms of precision and timeliness. Furthermore, the implementation of precise monitoring techniques and prompt responses to alterations in plant conditions within agricultural settings can effectively mitigate the potential hazards associated with crop loss resulting from pest or disease infestations.

Optimizing Soybean Cultivation Efficiency through Agricultural Technology Integration in Plant Monitoring System Marina, Ida; Sujadi, Harun; Rakhmi Indriana, Kovertina
Greenation International Journal of Engineering Science Vol. 1 No. 3 (2023): (GIJES) Greenation International Journal of Engineering Science (September 2023
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.93

Agriculture plays a crucial role in fulfilling global food needs and promoting societal well-being. Soybean cultivation, as a strategic food crop, offers essential protein sources for humans and livestock while enhancing soil fertility through nitrogen fixation. However, the increasing global demand for soybeans poses challenges for farmers, particularly in terms of cultivation efficiency. These challenges are further exacerbated by climate change, land use, disease threats, and commodity price fluctuations. The advancement of agricultural technology, such as IoT, remote sensing, artificial intelligence, and predictive modeling, holds significant promise in improving soybean cultivation's efficiency and productivity. Precision agriculture emerges as a pivotal approach to support agricultural efficiency, productivity, and profitability. Expert systems and image processing techniques like artificial neural networks and genetic algorithms play a vital role in implementing precision agriculture. Information technology's use in precision agriculture focuses on data collection, analysis, and application in farming. Despite considerable research proposing technology integration in soybean cultivation, comprehensive studies on its potential integration remain limited. Thus, this international research aims to analyze the prospects of integrating agricultural technology into plant monitoring systems. Its primary goal is to contribute to the development of sustainable and efficient agricultural practices, considering environmental conditions and natural resource potentials. The findings will serve as a strategic foundation for agricultural stakeholders and policymakers to enhance soybean cultivation's sustainability, productivity, and quality, while effectively addressing global food challenges in the future.

Smart Agriculture: Optimizing Soybean Cultivation Through Technology In Crop Monitoring Sujadi, Harun; Marina, Ida; Koswara, Engkos; Rakhmi Indriana, Kovertina; Sukmawati, Dety
Greenation International Journal of Engineering Science Vol. 1 No. 2 (2023): (GIJES) Greenation International Journal of Engineering Science (June 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.92

The objective of this study is to optimise the productivity of soybean production through the integration of agricultural technologies inside plant monitoring systems. The objective of incorporating technology is to enhance the monitoring and management processes of soybean crops, with the ultimate goal of improving productivity and boosting harvest yields.This paper presents a proposal for the use of diverse agricultural technologies, including soil sensors, environmental sensors, drones, and data analysis based on artificial intelligence. Soil and environmental sensors are utilised for the purpose of monitoring soil conditions, moisture levels, and weather conditions in the vicinity of soybean agricultural fields. Drones are employed for comprehensive terrestrial surveillance and prompt identification of botanical concerns. The utilisation of artificial intelligence in data analysis involves the processing of information gathered from sensors and drones, enabling the provision of real-time insights and recommendations to farmers.By incorporating these agricultural technologies, it is anticipated that farmers would be able to effectively and efficiently utilise resources such as water, fertilisers, and pesticides, ensuring optimal usage in terms of precision and timeliness. Furthermore, the implementation of precise monitoring techniques and prompt responses to alterations in plant conditions within agricultural settings can effectively mitigate the potential hazards associated with crop loss resulting from pest or disease infestations.

Optimizing Soybean Cultivation Efficiency through Agricultural Technology Integration in Plant Monitoring System Marina, Ida; Sujadi, Harun; Rakhmi Indriana, Kovertina
Greenation International Journal of Engineering Science Vol. 1 No. 3 (2023): (GIJES) Greenation International Journal of Engineering Science (September 2023
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.93

Agriculture plays a crucial role in fulfilling global food needs and promoting societal well-being. Soybean cultivation, as a strategic food crop, offers essential protein sources for humans and livestock while enhancing soil fertility through nitrogen fixation. However, the increasing global demand for soybeans poses challenges for farmers, particularly in terms of cultivation efficiency. These challenges are further exacerbated by climate change, land use, disease threats, and commodity price fluctuations. The advancement of agricultural technology, such as IoT, remote sensing, artificial intelligence, and predictive modeling, holds significant promise in improving soybean cultivation's efficiency and productivity. Precision agriculture emerges as a pivotal approach to support agricultural efficiency, productivity, and profitability. Expert systems and image processing techniques like artificial neural networks and genetic algorithms play a vital role in implementing precision agriculture. Information technology's use in precision agriculture focuses on data collection, analysis, and application in farming. Despite considerable research proposing technology integration in soybean cultivation, comprehensive studies on its potential integration remain limited. Thus, this international research aims to analyze the prospects of integrating agricultural technology into plant monitoring systems. Its primary goal is to contribute to the development of sustainable and efficient agricultural practices, considering environmental conditions and natural resource potentials. The findings will serve as a strategic foundation for agricultural stakeholders and policymakers to enhance soybean cultivation's sustainability, productivity, and quality, while effectively addressing global food challenges in the future.

Analisis Variabilitas Iklim dan Pengaruhnya Terhadap Produksi Cabai Merah di Wilayah Sentra Hortikultura Marina, Ida; Dety Sukmawati; Maria Lusiana Yulianti
OrchidAgri Vol. 5 No. 1 (2025): Jurnal Orchid Agri Vol 5 No.1 Februari 2025
Publisher : Fakultas Pertanian Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar

Perubahan iklim berdampak signifikan terhadap sektor pertanian, terutama pada produksi cabai merah di sentra produksi seperti Jawa Barat. Peningkatan suhu, perubahan pola curah hujan, dan kejadian cuaca ekstrem menyebabkan penurunan produktivitas, peningkatan tekanan hama dan penyakit, serta penurunan kesuburan tanah. Penelitian ini bertujuan untuk menganalisis dampak perubahan iklim terhadap produktivitas cabai merah serta mengembangkan strategi adaptasi dan mitigasi untuk meningkatkan ketahanan pertanian. Penelitian yang digunakan adalah studi literatur dan analisis data iklim serta produktivitas cabai merah selama lima tahun terakhir. Hasil penelitian menunjukkan bahwa suhu rata-rata meningkat 1,3°C–1,6°C dan curah hujan menurun hingga 250 mm per tahun, menyebabkan penurunan produksi sebesar 25–32%. Untuk mengatasi hal ini, strategi adaptasi dilakukan melalui penggunaan varietas tahan iklim, sistem irigasi hemat air, dan diversifikasi pola tanam. Mitigasi mencakup pengurangan emisi gas rumah kaca melalui teknologi rendah karbon, pengelolaan pupuk efisien, serta sistem informasi iklim. Perubahan iklim berdampak negatif terhadap produksi cabai merah, sehingga diperlukan kebijakan adaptasi dan mitigasi yang tepat guna menjaga ketahanan pangan dan kesejahteraan petani. Kata kunci: Perubahan_Iklim, Cabai_Merah, Adaptasi, Mitigasi, Ketahanan_Pangan.

FAKTOR SOSIAL EKONOMI YANG MEMPENGARUHI PENGAMBILAN KEPUTUSAN PETANI DALAM SISTEM PENJUALAN SAYURAN WORTEL (Suatu Kasus Petani Sayuran Desa Nyalindung di Kecamatan Cugenang Kab. Cianjur) Marina, Ida; Sulandjari, Kuswarini
CEFARS : JURNAL AGRIBISNIS DAN PENGEMBANGAN WILAYAH Vol. 5 No. 1 (2013): CEFARS : JURNAL AGRIBISNIS DAN PENGEMBANGAN WILAYAH
Publisher : Fakultas Pertanian Universitas Islam 45 (UNISMA) Bekasi

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The purpose of this study was to determine the influence of socioeconomic factors on farmer's decision to sell the carrot farming and income, as well as the influence the farmer's decision to sell the results of carrot farming to the production cost. The method used in this study is a survey method. Mechanical determination of respondent do with the determination of the samples was determined by the census were traced to the farmer who has completed the sale obtained by 31 farmers who sell directly to the market and 14 farmers who sell blow. The results showed that the carrot farm income is influenced by socio-economic factors; land area, age of farmers, farming experience, education of farmers, dependents, pricing, and cost aspects. Decision grower selling single stroke and sales are directly influenced by the cost of production, while farmers who sell directly to the market charged harvesting, washing and transporting and prices received relatively unchanged in accordance with the laws of the market. Farmer's decision to sell the results of farming carrot effect on revenue.

FAKTOR SOSIAL EKONOMI YANG MEMPENGARUHI PENGAMBILAN KEPUTUSAN PETANI DALAM SISTEM PENJUALAN SAYURAN WORTEL (Suatu Kasus Petani Sayuran Desa Nyalindung di Kecamatan Cugenang Kab. Cianjur) Marina, Ida; Sulandjari, Kuswarini
CEFARS : JURNAL AGRIBISNIS DAN PENGEMBANGAN WILAYAH Vol. 5 No. 1 (2013): CEFARS : JURNAL AGRIBISNIS DAN PENGEMBANGAN WILAYAH
Publisher : Fakultas Pertanian Universitas Islam 45 (UNISMA) Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

The purpose of this study was to determine the influence of socioeconomic factors on farmer's decision to sell the carrot farming and income, as well as the influence the farmer's decision to sell the results of carrot farming to the production cost. The method used in this study is a survey method. Mechanical determination of respondent do with the determination of the samples was determined by the census were traced to the farmer who has completed the sale obtained by 31 farmers who sell directly to the market and 14 farmers who sell blow. The results showed that the carrot farm income is influenced by socio-economic factors; land area, age of farmers, farming experience, education of farmers, dependents, pricing, and cost aspects. Decision grower selling single stroke and sales are directly influenced by the cost of production, while farmers who sell directly to the market charged harvesting, washing and transporting and prices received relatively unchanged in accordance with the laws of the market. Farmer's decision to sell the results of farming carrot effect on revenue.

PERAN KECERDASAAN BUATAN DALAM OPTIMALISASI PRODUK PERTANIAN DI ERA DIGITAL Maman Gunawan; Marina, Ida
Journal of Innovation and Research in Agriculture Vol. 4 No. 1 (2025)
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jira.v4i1.1845

Transformasi digital dalam sektor pertanian menjadi kebutuhan mendesak guna menjawab tantangan produktivitas, efisiensi, dan ketahanan pangan global. Kajian ini bertujuan untuk menelaah peran Kecerdasan Buatan (AI) dan teknologi blockchain dalam mengoptimalkan produk pertanian di era digital. Metode yang digunakan adalah studi literatur sistematis terhadap sepuluh artikel ilmiah terpilih, dengan mempertimbangkan kriteria inklusi dan eksklusi tertentu, serta menggunakan alat bantu analisis seperti VoSviewer dan wawancara studi kasus. Hasil kajian menunjukkan bahwa penerapan AI dan blockchain berkontribusi signifikan dalam meningkatkan keterlacakan, efisiensi proses, dan transparansi dalam rantai pasok pertanian. Namun, tantangan seperti keterbatasan regulasi, biaya implementasi, kesiapan sumber daya manusia, dan tingkat kepercayaan publik masih menjadi hambatan utama. Kajian ini memberikan wawasan bagi pengambil kebijakan dan peneliti untuk merancang strategi penerapan teknologi yang lebih inklusif dan berkelanjutan dalam sektor pertania

AGRONOMIC PERFORMANCE OF SUPERIOR SOYBEAN CULTIVERS IN INTERCROPPING WITH MAIZE USING LIQUID ORGANIC FERTILIZER BASED ON AZOLLA PINNATA Rahma Harti, Adi Oksifa; Sukmawati, Dety; Indriana , Kovertina Rakhmi; Marina, Ida; Komariah, Ai
Journal of Innovation and Research in Agriculture Vol. 4 No. 1 (2025)
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jira.v4i1.2143

Soybean is lots of plants contain beneficial nutrition for Indonesian society. The need for soybeans continues to increase every year while national soybean production is still low. One of the efforts to increase soybean production is by intercropping with corn. Competition in obtaining growth factors, one of which is nutrients, is a major problem in intercropping, therefore it is necessary to add environmentally friendly nutrients such as Azolla pinnata. This study aims to analyze the performance of soybean cultivars planted by intercropping with corn by administering LOF Azolla pinnata. The research method used a randomized block design (RBD) which consisted of 24 treatment combinations and was repeated twice to see the effectiveness of the treatment, analyzed with response surface regression. The results of the research show Cultivars Anjasmoro, Dega 1 and Gepak Kuning show most agronomic appearance good with administration of LOF Azolla dose 400 ml.L -1. results study this show giving LOF to cultivation plant in a manner intercropping could conducted for minimize impact negative competition between plant on system intercropping. Selection could conducted with see correlation between character which have correlation most tightly with character result.

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