Abstract:Problems threatening food security are reduced agricultural land and decreased production caused by climate change. In 2 years, the rice harvested area in Indonesia has decreased by around 6.33%. This research aims to know…
ow how food security is in Indonesia.The secondary data is then processed using the Microsoft Excel application and analyzed using Machine Learning in Rstudio. Several variables were examined, Population, Area of Harvested Land, Productivity of Rice Commodity, and Level of Disaster Risk. Based on the literature, a food security ratio is calculated to get the index that will explain the deficit or surplus of food availability.This research shows that the model has an accuracy rate of 93.4%. Strengthening the results given by the elbow method, the gap statistical method ensures that the optimal number of clusters recommended by machine learning is k2, so the next process is to group districts/cities into 2 (two) clusters.a model can be formed that can be used to predict the condition of food security fairly accurately (accuracy level 90%). Cities in Indonesia when clustered based on this research can optimally be divided into two clusters which show the deficit and surplus of food.
Abstract:This study explored how cost structure, land productivity, and price efficiency shape the income of micro scale shallot farmers in Brebes Regency based on farmers' reported financial experiences and informants' financial…
narratives. Using an exploratory qualitative approach, data were collected from five shallot farmers, one agricultural extension officer, and one farmer group leader through semi-structured interviews, non-participant observation, and documentation. The data were analyzed through thematic analysis supported by source and technique triangulation. The findings show that reported income is highly vulnerable to variable production costs, particularly labor, seed, and pesticides. Land productivity is closely related to land ownership status and farming scale, while price efficiency is constrained by farmers' weak bargaining position and dependence on intermediaries. Farmers apply adaptive strategies such as delaying sales, drying harvested shallots, and converting part of the harvest into seed stock. However, these strategies are limited by liquidity needs, storage capacity, product quality, and market uncertainty. The study concludes that improving farmers' income stability requires integrated cost control, asset productivity, price information access, post-harvest support, and stronger farmer institutions.
Abstract:The delivery of the first harvest by the people of Kolimasang Village to the King of Sagu in Adonara represents a symbol of agrarian relations rich in cultural and spiritual meaning. In Lamaholot tradition, the king is not…
ot only a political–traditional leader but is also regarded as a representation of cosmic power that must be respected. In this perspective, the delivery of the first harvest becomes a kind of “rite of passage” from the profane world (the field) to the sacred world (the palace). Within Lamaholot tradition, this relationship is known as the 4A: Atadiken (Human), God, Nature, and Ancestral Spirits.
The findings show that the procession of delivering the first harvest has been practiced for generations since the establishment of the Adonara Kingdom. The procession is carried out for two consecutive days, Tuesday and Wednesday, during the harvest week and month, usually March or April. On Tuesday, the ritual takes place in the fields during the first harvest, the yields of which are taken to the King of Adonara in Sagu. On Wednesday, the procession takes place in Lewo Sagu Atu Matang – Tanah Kota Dolu Wewang (the palace of the Adonara king), the site of the migration of King Arkian Kamba (the first Islamic King of Adonara). Both processions are preceded by traditional ritual prayers (Bao Lolon) addressed to God, Nature, and the Ancestral Spirits (3A). The equipment involved in the procession includes the harvest yield, tuak (palm wine) in bamboo containers, coconut-shell cups, gongs and drums, spears, machetes, and traditional clothing. In the procession, the king and his kin receive the harvest in a ceremonial welcome marked by traditional rituals, during which the king wears royal attire: the lipa sarong, a jacket, and a cap. The harvested produce is not only given to members of the royal family for consumption but also distributed to the wider community (ribu ratu). A tradition that remains preserved to this day—and considered the most essential—is the distribution of the first harvest by the king and his family to widows, the poor, orphans, and abandoned children. This symbolizes love, fairness, and equitable sharing—values that continue to be upheld today.
Abstract:Abstract: Urban household food security is still constrained by limited land availability and a high dependence on external supply. A community service program conducted in Berkah Family Village Housing, Kubang Jaya Village,…
llage, aims to enhance food self-sufficiency through vertical hydroponics, organic waste processing, and e-commerce–based digital marketing training. Using a Participatory Action Research (PAR) approach, the program increased hydroponic knowledge from 30% to 85%, assembly skills from 15% to 80%, plant maintenance understanding from 25% to 78%, and e-commerce skills from 0% to 75%. A single hydroponic tower produces 7.2–14 kg per cycle, with potential income ranging from IDR 435,000 (pakcoy) to IDR 1,400,000 (lettuce). Kale can be harvested continuously for more than one year every 7–10 days, yielding an average of 105 grams per plant and generating up to IDR 1,100,000 per harvest. Additionally, 20 households are able to process kitchen waste into liquid fertilizer. Overall, the program has proven effective in strengthening household food security and economic resilience while supporting the achievement of the SDGs.
Keywords: community empowerment; family food security; organic waste processing; urban farming; vertical hydroponics
Abstrak: Ketahanan pangan keluarga di perkotaan masih terkendala keterbatasan lahan dan tingginya ketergantungan pada pasokan luar. Program pengabdian di Perumahan Berkah Family Village, Desa Kubang Jaya, bertujuan meningkatkan kemandirian pangan melalui hidroponik vertikal, pengolahan limbah organik, dan pelatihan pemasaran digital berbasis e-commerce. Dengan pendekatan Participatory Action Research (PAR), terjadi peningkatan pengetahuan hidroponik dari 30% menjadi 85%, keterampilan perakitan dari 15% menjadi 80%, pemahaman perawatan tanaman dari 25% menjadi 78%, serta kemampuan e-commerce dari 0% menjadi 75%. Satu unit tower hidroponik menghasilkan 7,2–14 kg per siklus dengan potensi pendapatan Rp. 435.000 (pakcoy) hingga Rp. 1.400.000 (selada). Tanaman kale dapat dipanen berkelanjutan sampai lebih satu tahun, tiap 7–10 hari dengan rata-rata 105 gram per tanaman dan potensi Rp.1.100.000 per panen. Sebanyak 20 keluarga juga mampu mengolah limbah dapur menjadi pupuk cair, sehingga program ini efektif memperkuat ketahanan pangan dan ekonomi rumah tangga serta mendukung SDGs.
Kata kunci: pemberdayaan masyarakat; ketahanan pangan keluarga; pengolahan limbah organik; pertanian perkotaan; hidroponik vertikal
Abstract:Urban farming is a gardening activity that uses the home yard and can still be done even if the land is small/limited. RW 06 Galur Subdistrict is in an area of Central Jakarta which is relatively densely populated, where…
it is not possible to carry out gardening activities. Hydroponics and aquaponics are solutions to the problem of limited land. This activity aims to introduce, train and assist the public about hydroponic and aquaponic technology. This activity was carried out centrally at the Ceria Command RPTRA, RW 06 Galur Village in collaboration with Working Group 3 Galur Village from August – October 2023. The equipment used included 2 sets of hydroponic frames with a total of 196 holes and 1 set of aquaponic frames with 156 holes. The activity stages start with introducing tools and vegetable seeds, sowing together, monitoring, harvesting with residents, and evaluation. During the activity, vegetables were successfully harvested 3 times with yields of 12 kg per cycle, and 7 kg of catfish were successfully harvested. Some of the harvest is given to residents and stunted toddlers, and the other part is sold to be managed again by the RPTRA.
Keywords: Aquaponics; Hydroponics; Urban Agriculture
Abstrak: Pertanian perkotaan atau dikenal sebagai urban farming merupakan kegiatan berkebun dengan memanfaatkan pekarangan rumah dan tetap bisa dilakukan walaupun lahan sempit/terbatas. RW 06 Kelurahan Galur berada di daerah Jakarta Pusat yang tergolong padat penduduk, dimana tidak memungkinkan untuk melakukan kegiatan berkebun. Hidroponik dan akuaponik merupakan solusi untuk permasalah keterbatasan lahan. Kegiatan ini bertujuan untuk memperkenalkan, melatih dan mendampigi masyarakat tentang teknologi hidroponik dan akuaponik. Kegiatan ini dilakukan secara terpusat di RPTRA Komando Ceria, RW 06 Kelurahan Galur bekerja sama dengan Pokja 3 Kelurahan Galur dari bulan Agustus – Oktober 2023. Alat yang digunakan meliputi 2 set rangka hidroponik dengan total 196 lubang dan 1 set rangka akuaponik dengan 156 lubang. Tahapan kegiatan dimulai dari pengenalan alat dan bibit sayur, menyemai bersama, monitoring, panen bersama warga, dan evaluasi. Selama kegiatan berlangsung sayuran berhasil di panen sebanyak 3 kali dengan hasil panen menghasilkan 12 kg per siklus, dan ikan lele berhasil di panen sebanyak 7 kg. Sebagian hasil panen diberikan untuk warga dan balita stunting, dan sebagian lainnnya dijual untuk dikelola kembali oleh RPTRA.
Kata kunci: akuaponik; hidroponik; pertanian perkotaan
Abstract:Abstract: Accurate forecasts of tea harvest production are important for workforce planning, factory operations, and marketing decisions, yet conventional estimation in plantations often relies on field experience and can…
n be biased and less adaptive to changing conditions. This study aims to develop a Random Forest Regression model to predict tea harvest production at the Bah Butong tea plantation using historical operational and climate-related data. The dataset consists of 60 monthly records (2020–2024) with six predictor variables: rainfall (mm), number of rainy days, pest level, weed level, number of harvested trees and land area. Data were split into 80% training (48 samples) and 20% testing (12 samples). Model hyperparameters were optimized using RandomizedSearchCV with RepeatedKFold cross-validation (5 folds, 3 repeats). The tuned model achieved MSE of 668,980,524.45, RMSE of 25,864.66 kg, MAE of 19,838.69 kg, and MAPE of 7.59% on the test set. The results indicate that the model can provide practical production estimates, with errors averaging about 7–8% of the actual production. Feature importance analysis shows that the number of harvested tea bushes and cultivated area contribute most to predictions. Future work should extend the historical period and incorporate time-based features (seasonality/lag) for improved forecasting.
Keywords: hyperparameter tuning; production prediction; random forest; regression; tea harvest
Abstrak: Perkiraan akurat produksi panen teh sangat penting untuk perencanaan tenaga kerja, operasional pabrik, dan keputusan pemasaran, namun estimasi konvensional di perkebunan seringkali bergantung pada pengalaman lapangan dan dapat bias serta kurang adaptif terhadap perubahan kondisi. Studi ini bertujuan untuk mengembangkan model Regresi Random Forest untuk memprediksi produksi panen teh di perkebunan teh Bah Butong menggunakan data operasional dan data terkait iklim historis. Dataset terdiri dari 60 catatan bulanan (2020–2024) dengan enam variabel prediktor: curah hujan (mm), jumlah hari hujan, tingkat hama, tingkat gulma, jumlah pokok panen, dan luas lahan. Data dibagi menjadi 80% data pelatihan (48 sampel) dan 20% data pengujian (12 sampel). Parameter model dioptimalkan menggunakan RandomizedSearchCV dengan validasi silang RepeatedKFold (5 lipatan, 3 pengulangan). Model yang telah disempurnakan mencapai MSE sebesar 668.980.524,45, RMSE sebesar 25.864,66 kg, MAE sebesar 19.838,69 kg, dan MAPE sebesar 7,59% pada set data uji. Hasil tersebut menunjukkan bahwa model dapat memberikan estimasi produksi yang praktis, dengan kesalahan rata-rata sekitar 7–8% dari produksi aktual. Analisis kepentingan fitur menunjukkan bahwa jumlah semak teh yang dipanen dan luas lahan budidaya paling berkontribusi pada prediksi. Pekerjaan selanjutnya harus memperpanjang periode historis dan menggabungkan fitur berbasis waktu (musiman/lag) untuk peramalan yang lebih baik.
Kata kunci: panen teh; prediksi produksi; random forest; regresi; tuning parameter