Analisis Ketersediaan dan Kebutuhan Beras di Indonesia Tahun 2018

Pratama, Armandha Redo; Sudrajat, Sudrajat; Harini, Rika

doi:10.23887/mkg.v20i2.19256

Cited by 18 publications

(16 citation statements)

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“…Food consumption in rice is much lower than the ideal need thus to fulfill this, people must import rice. This is also in accordance with research conducted by Laksmiari (2017) which states that several provinces in Indonesia still carry out large rice import activities [24,21]. Source: Analysis results, 2021…”

Section: Figure 3 Land Availability In the Karangsambung-karangbolong...supporting

confidence: 88%

“…This will directly affect the need for agricultural land because with the increase in population, the need for food consumption will increase. In his research, Suratha (2014) states that the increasing number of people not only affects the amount of food needed, but also affects the decreasing food availability because the increasing population will increase the need for residential land and ultimately lead to an increase in agricultural land conversion which ultimately reduces land area and production of food commodities [20,21]. Population growth that continues to increase with limited land area decreases the ability of an area.…”

Section: Figure 2 Population Density Mapmentioning

confidence: 99%

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Carrying Capacity of Agricultural Land in Disaster-Prone Areas of Land Movement at Karangsambung-Karangbolong Geopark

Harini

Susilo²,

Pangaribowo³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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A disaster-prone area is an area that has a high level of vulnerability to potential threats to life, welfare, and residents’ assets when a disaster occurs. Land damage due to landslides has the potential to reduce the region’s ability to supply human resources, especially in the agricultural sector. This condition has an impact on decreasing the carrying capacity of agricultural land. This study aimed to analyze the distribution pattern and carrying capacity of agricultural land in the disaster-prone area of the Karangsambung-Karangbolong Geopark. Data sources used were secondary and primary data. The secondary data were obtained from the Central Bureau of Statistics of Kebumen Regency and the Regional Disaster Management Agency of Kebumen Regency. The primary data were obtained from observation and in-depth interviews. Data analysis was carried out in a quantitative descriptive manner. The carrying capacity of agricultural land was obtained using the Odum-Howard-Isaard agricultural land productivity approach with a classification based on Decent Living Needs (DLN). The results showed that the available land carrying capacity (LCC), especially rice fields, was lower than the farmers’ needs thus the LCC value was a deficit. In geopark areas that had low LCC and was indicated by low levels of agricultural production could not be able to carry out food self-sufficiency. The carrying capacity of agricultural land in disaster-prone areas can be increased through policies to prevent land conservation and intensify agricultural land processing.

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Section: Figure 3 Land Availability In the Karangsambung-karangbolong...supporting

confidence: 88%

Section: Figure 2 Population Density Mapmentioning

confidence: 99%

Carrying Capacity of Agricultural Land in Disaster-Prone Areas of Land Movement at Karangsambung-Karangbolong Geopark

Harini

Susilo²,

Pangaribowo³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Pelandaian produktivitas padi (leveling off) adalah bentuk nyata dari ketidakseimbangan unsur hara dikarenakan penggunaan pupuk kimia secara terus menerus (kotu, et al, 2015). Pada 20 tahun terakhir mulai terjadi leveling off produksi padi terakhir sebagai indikasi penurunan efisiensi penggunaan pupuk (Prabowo dan Subantoro, 2017) Surplus beras setiap tahunnya menjadi target pemerintah (Pratama et al, 2019). Budidaya yang baik juga perlu dilakukan dalam mencapai target tersbut (Nurcahyani dan Saptono, 2016).…”

Section: Pendahuluanunclassified

Upaya Optimalisasi Hasil Panen Padi Menggunakan Berbagai Model Jarak Tanam Dan Dosis Pupuk Kandang

Junaidi

Rahardjo

2021

AGRINIKA

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This research aims to determine the real interaction between bokashi dose treatment and spacing models on the growth and yield of paddy plants. The study used a 3 x 3 factorial with 3 replications. The first factor was the spacing model which consists of 3 levels, namely J1 = tile spacing model (20 x 20 cm), J2 = Jajar Legowo 4:1 (20 cm x 40 cm x 10 cm), and J3 = Jajar Legowo 2:1 (20 cm x 40 cm x 10 cm). The second factor was the dosage of bokashi fertilizer which consists of 3 levels, namely P1 = 5 tonnes per hectare, P2 = 10 tonnes per hectare, and P3 = 15 tonnes per hectare. The research discovered that there was an interaction effect on plants aged 45 days after planting as well as an increase in yield in the form of an increase in grain weight per plant clump. Model treatment also had a significant effect on plant height at the age of 15 and 30 days after planting. In addition, there were also changes in the number of tillers, productive tillers, seeds per panicle, panicle length, and grain weight per plot for all observed ages. The 4:1 legowo row model treatment resulted in the best growth and production of paddy fields, while the highest production was produced by the legowo row 2:1 treatment. Bokashi dosage treatment was 15 tons per hectare.Isi artikel ini bertujuan mengetahui adanya interaksi yang nyata antara perlakuan dosis bokasi dan model jarak tanam terhadap pertumbuhan dan hasil tanaman padi. Penelitian menggunakan rancangan acak kelompok (RAK) faktorial 3 x 3 dengan 3 kali ulangan. Faktor pertama adalah model jarak tanam yang terdiri dari 3 taraf, yaitu J1 = model jarak tegel (20 x 20 cm), J2 = Jajar Legowo 4 :1 (20 cm x 40 cm x 10 cm), dan J3 = Jajar Legowo 2 : 1 (20 cm x 40 cm x 10 cm). Faktor kedua adalah dosis pupuk bokashi yang terdiri dari 3 taraf yaitu P1 = 5 ton/ha, P2 = 10 ton/ha, dan P3 = 15 ton/ha. Riset yang dilakukan membuktikan bahwa adanya pengaruh interaksi pada tanaman umur 45 hari serta peningkatan hasil panen berupa berat gabah per rumpun yang mengalami kenaikan. Perlakuan model juga memiliki pengaruh nyata terhadap tinggi tanaman pada usia 15 dan 30 hari sejak masa tanam. Selain itu juga adanya perubahan pada jumlah anakan, anakan produktif, biji per malai, panjang malai, dan berat gabah per petak semua umur pengamatan. Perlakuan model jajar legowo 4 : 1 menghasilkan pertumbuhan dan produksi padi sawah pertanaman paling baik, sedangkan produksi paling tinggi dihasilkan oleh perlakuan jajar legowo 2 : 1. Perlakuan dosis bokasi 15 ton/ha

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“…fulfilment of staple food consumption and national food security (Pratama et al, 2019;Santosa & Sudrajat, 2017;Syaifullah, 2013). The distribution system can be a determining factor for the welfare of rice farmers in terms of price determination (Farmer & Betz, 2016).…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Delivery Performance of Pamarican District Farmers' Unhulled Rice Grain Supply Chain System of Ciamis Regency with PT Mitra Desa Pamarican

Helbawanti

Apriyani

2022

AGRIECOBIS

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One of the problems in fulfilling the staple food consumption of rice in Indonesia is the rice distribution system. Delivery performance is one of the important measurements in the supply chain system since it is an indicator of the accuracy of the quantity and time of grain delivery from rice farmers involved in partnership with PT MDP. Respondents used in this study consisted of 30 rice farmers chosen through purposive sampling technique in Pamarican District, Ciamis Regency, West Java. The analytical method used is multiple linear regression or multiple linear regression model with Ordinary Least Square to analyze the influence of the distance of the farmer to the grain collection point, the length of time the farmer makes inventory, the experience of farming, the farmer's storage capacity, and the method of payment for grain or the transaction system on the delivery performance. The results of the analysis show the variables of distance, inventory, and transaction systems. The distance variable has a significant positive effect, the inventory variable has a significant negative effect, and the cash transaction system will improve the delivery performance of farmers to PT MDP. Farmers make cost efficiency for grain delivery by collecting grain first. A decrease in delivery performance occurs when farmers store the grain longer

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Analisis Ketersediaan dan Kebutuhan Beras di Indonesia Tahun 2018

Cited by 18 publications

References 0 publications

Carrying Capacity of Agricultural Land in Disaster-Prone Areas of Land Movement at Karangsambung-Karangbolong Geopark

Carrying Capacity of Agricultural Land in Disaster-Prone Areas of Land Movement at Karangsambung-Karangbolong Geopark

Upaya Optimalisasi Hasil Panen Padi Menggunakan Berbagai Model Jarak Tanam Dan Dosis Pupuk Kandang

Factors Affecting Delivery Performance of Pamarican District Farmers' Unhulled Rice Grain Supply Chain System of Ciamis Regency with PT Mitra Desa Pamarican

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