Pengelompokan Produksi Padi Nasional dengan Pendekatan Data Mining Konsep K-Means

Sudono, Irfan; Utaminingsih, Widya; Lestari, Santi

doi:10.31028/ji.v8.i2.72-89

Cited by 4 publications

(5 citation statements)

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“…Meanwhile, the islands of Sulawesi and Nusa Tenggara (especially the Province of West Nusa Tenggara) have great potential in providing rice supplies for the Indonesian population. Java cannot always be relied on, because of the large number of land conversion activities that will threaten food production and availability for the Indonesian population (Sudono et al, 2016). Figure 3 shows the distribution of agricultural machinery subsidies.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Fertilizer and Agricultural Machinery Subsidies on Paddy Productivity: A Feasible Generalized Least Squares Approach

Priyanto

Pratama²,

Prasada³

2023

SEPA J. SepAgr

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<p><em>Paddy is a commodity that is widely cultivated by farmers in Indonesia. Paddy farmers are currently facing the threat of declining farm productivity due to land conversion activities, access to inputs that are difficult to reach, and climate change. However, productivity can be increased through the use of fertilizer inputs and agricultural machinery. Government support for paddy farmers is provided through input subsidies and agricultural machinery. Therefore, this study explores the effect of input subsidies and agricultural machinery on paddy productivity. We selected 20 provinces with the highest proportion of paddy fields to the total area. Feasible Generalized Least Squares (FGLS) analysis is used to determine the effect of subsidies on fertilizers and agricultural machinery on paddy productivity in Indonesia. The results showed that input subsidies were mostly allocated to Java, Sumatra, and Sulawesi islands, while agricultural machinery was allocated more to Sulawesi and Nusa Tenggara islands. FGLS analysis shows that the area of irrigated land, subsidies for urea fertilizer, subsidies for NPK fertilizers, subsidies for ZA fertilizers, and grants for 2-wheel tractors affect increasing paddy productivity. Meanwhile, the effect of increasing temperature causes a decrease in paddy productivity.</em></p>

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Section: Resultsmentioning

confidence: 99%

The Effect of Fertilizer and Agricultural Machinery Subsidies on Paddy Productivity: A Feasible Generalized Least Squares Approach

Priyanto

Pratama²,

Prasada³

2023

SEPA J. SepAgr

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“…Pengembangan lahan irigasi hendaknya tidak hanya melihat dari sisi potensinya saja, akan tetapi juga harus melihat produktivitas padi nasional. Kajian yang telah dilakukan oleh Sudono, Utaminingsih, & Lestari (2013) menunjukkan bahwa provinsi dengan produktivitas terbaik yaitu Bali, Jawa Barat, Jawa Tengah, Jawa Timur dan DKI Jakarta, dimana wilayah tersebut merupakan wilayah yang rata-rata sudah tidak mempunyai areal pengembangan lahan untuk irigasi lagi, jikapun ada luas wilayahnya sangat sedikit, sehingga perlu skenario lain namun tetap ditinjau berdasarkan hasil zonasi potensi pengembangan lahan irigasi dan prediksi produksi padi nasional.…”

Section: Pendahuluanunclassified

“…Sumber: Sudono et al, 2014 Pemilihan lokasi kajian dalam penelitian ini berdasarkan data hasil pemetaan zonasi potensi pengembangan lahan irigasi yang dikoreksi dengan hasil penelitian (Sudono, et al, 2013) mengenai simulasi produktivitas padi masingmasing provinsi di Indonesia. Simulasi produktivitas padi masing-masing provinsi menunjukkan hasil bahwa produktivitas padi tertinggi ada di Pulau Jawa, kemudian Nusa Tenggara Barat diperingkat kedua dan Pulau Sulawesi diperingkat ketiga.…”

Section: Tabel 1 Prediksi Kebutuhan Konsumsi Beras Dan Areal Sawah Irunclassified

Optimasi Pengembangan Lahan Berbasis Daerah Irigasi di Provinsi Sulawesi Selatan

Utaminingsih¹,

Soentoro²,

Winskayati³

et al. 2017

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Ketahanan pangan menjadi isu strategis ketika dihubungkan dengan kenaikan jumlah penduduk dan tingginya laju konversi lahan beririgasi menjadi daerah pemukiman/industri. Peningkatan produksi padi nasional menjadi salah satu kunci pemerintah dalam pemenuhan kebutuhan pangan nasional. Pemetaan zonasi potensi pengembangan lahan irigasi telah dilakukan namun untuk menentukan kebijakan pengembangan lahan diperlukan analisa lanjut terhadap kenaikan produksi dan investasi biaya guna mengetahui efektifitas pengembangannya. Penelitian ini dilakukan guna mendapatkan skenario terbaik dalam upaya meningkatkan produksi beras nasional melalui ekstensifikasi maupun intensifikasi, serta menghitung nilai minimum investasi yang diperlukan untuk meningkatkan produksi tersebut. Penelitian dibatasi pada analisa berbasis daerah irigasi, dimana penentuan lokasi penelitian berdasarkan peta zonasi potensi pengembangan lahan irigasi dan simulasi pengelompokan produksi padi nasional. Optimasi dilakukan dengan Multi Criteria Decision Analysis (MCDA) metode Analitycal Hierarchy Process (AHP) untuk pembobotan, dilanjutkan dengan metode Compromise Programming dan Promethee untuk menentukan prioritas pengembangan. Hasil kajian menunjukkan bahwa Program Ekstensifikasi dapat menjadi prioritas pengembangan irigasi sebagai dukungan terhadap ketahanan pangan nasional. Total investasi biaya yang dikeluarkan untuk ekstensifikasi lahan irigasi rata-rata diperkirakan Rp 105,6 Juta/ha, yang dapat digunakan sebagai dasar penganggaran penentuan lahan pengembangan lahan irigasi kedepan, dengan kenaikan produksi yang dihasilkan dari ekstensifikasi lahan irigasi di Provinsi Sulawesi Selatan ini adalah 5,02 ton/ha, atau harga investasi per produksi untuk ekstensifikasi lahan irigasi ini adalah Rp 10,51 juta/ton.

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“…So in the research involved the elbow method with the principle of the best cluster value to be taken from the sum of square error (SSE) which experienced a significant decrease and shaped elbow [16]. So that the quality of the grouping developed is more qualified and able to maximize the more dominant group [17]. Different percentage results of each cluster value can be shown by using a graph as the source of the information [18].…”

Section: Introductionmentioning

confidence: 99%

Best Cluster Optimization with Combination of K-Means Algorithm And Elbow Method Towards Rice Production Status Determination

Hasugian

Sinaga

Manurung

et al. 2021

Int. J. Artif. Intell. Res

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Indonesia is the third-largest country in the world with rice production reaching 83,037,000 and became the highest production in southeast Asia spread in several provinces in Indonesia The problem found that such product has not been able to cover the needs of Indonesian people with a very high population so that in the research conducted information excavation to generate potential to the pile of data that has been described and analyzed by BPS with clustering topics. Clustering will help related parties, especially the ministry of agriculture, in determining land development priorities and can minimize the shortage of rice production nationally. Grouping process by involving the K-means algorithm to group rice production with a combination of the elbow method as part of determining the number of clusters that will be recommended with attributes supporting the area of harvest, productivity, and production. Method of researching with data cleaning activities, data integration, data transformation, and application of K-means with a combination of elbow and pattern evaluation. The results achieved based on the work description with a combination of K-Means and elbow provide cluster recommendations that are the best choice or the most optimal is iteration 2 which is the lowest rice production group with a total of 22 provinces, rice production with a medium category of 9 and production with the highest category with 3 regions

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Pengelompokan Produksi Padi Nasional dengan Pendekatan Data Mining Konsep K-Means

Cited by 4 publications

References 0 publications

The Effect of Fertilizer and Agricultural Machinery Subsidies on Paddy Productivity: A Feasible Generalized Least Squares Approach

The Effect of Fertilizer and Agricultural Machinery Subsidies on Paddy Productivity: A Feasible Generalized Least Squares Approach

Optimasi Pengembangan Lahan Berbasis Daerah Irigasi di Provinsi Sulawesi Selatan

Best Cluster Optimization with Combination of K-Means Algorithm And Elbow Method Towards Rice Production Status Determination

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