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"Farmers perform double roles at the same time in treating rice commodity, that are as producers and as consumers. This research tried to find out the average amount of rice marketable surplus at the hand of farmers? households and to analyze which variables significantly influence the surplus. The results of the research conducted in four rice production centres od South Sumatra reveal that the average rice consumption of famers? households were 98,42 kg per person or 402.75 kg per household with 4 members, while their rice production were 5842,75 kg per household. Farmers in all rice production centers have actually carried out marketable surplus on their rice production as their consumed a portion as needed and sold the majority amounts to the market. There were variations of rice consumed between rice production centers. Rice marketable surplus in all production centers (OKU Timur, OKI, Musi Rawas and Banyuasin) were significantly influenced by rice production. In three production centers, the rice production also was influenced significantly by the number of household members and off-farm income, while in two production centers, it was also determined by rice price and age composition of farmer family members. The other variables affected rice marketable surplus exclusively in each area"

"Skripsi ini membahas mengenai dugaan praktik anti persaingan berupa dugaan adanya praktik kartel yang terjadi pada komoditas beras di Indonesia karena adanya kenaikan harga beras pada akhir tahun 2015 yang dinilai tidak wajar oleh Komisi Pengawas Persaingan Usaha (KPPU) yang dianggap sebagai indikasi adanya kartel ditinjau dari Undang-Undang No. 5 Tahun 1999. Penelitian ini merupakan penelitian yuridis-normatif menggunakan data primer dan sekunder. Hasil penelitian ini menunjukkan bahwa kenaikan harga beras tersebut dinilai wajar karena terjadi pada musim paceklik dan indikasi dari KPPU menduga adanya kartel pada komoditas beras ini didasarkan pada kenaikan harga beras pada bulan November dan Desember 2015 yang dianggap tidak wajar. Dan dugaan ini masih belum cukup kuat sebagai sebuah dasar adanya indikasi praktik kartel.

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This bachelor thesis discusses about allegation anti-competition practices in the form of alleged cartel practices on rice commodity because increases price of rice in the end 2015 were judged abnormal by KPPU based on Law Number 5 Year 1999 about Prohibition of Monopoly Practices And Unfair Business Competition. The study is normative-juridicial research using primary and secondary data. The result of the research shows that increases price of rice were judged fair because happened in famine season and indication from KPPU to alleged a presence of cartel practices on rice commodity is because increases price of rice in November and December 2015 were judged unfair. And this allegation is not substantial enough to be a basis of alleged a presence of cartel practices."

"beras merupakan makanan pokok bangsa Indonesia, khusunya masyarakat Tasikmalaya. Hasil penelitian sebelumnya menunjukan adamya kandungan chlor pada beras yang di jual di Jawa Barat dan Sumatera"

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Ketahanan pangan dipengaruhi oleh beberapa faktor yaitu ketersediaan pangan, aspek pangan, pemanfaatan pangan dan kerentanan pangan. Aspek yang dapat mempengaruhi  kerentanan pangan adalah penurunan produktivitas pangan, salah satunya adalah tanaman padi yang merupakan pangan pokok di Indonesia. Penyebab penurunan produktivitas padi adalah kondisi kerentanan lingkungan suatu wilayah. Tujuan penelitian ini adalah menyusun model spasial produktivitas padi berdasarkan kerentanan lingkungan pada tiap fase tanam dengan menggunakan pendekatan teknologi inderaja dan SIG. Model spasial ini disusun berdasarkan hasil aplikasi dua model yaitu model spasial fase tanam dan model produktivitas padi. Pemodelan spasial untuk melihat sebaran fase tanam padi menggunakan metode klasifikasi random forest mempunyai akurasi keseluruhan sebesar 0,92 yang membagi fase tanam padi menjadi fase awal tanam, fase vegetatif, fase generatif dan fase bera. Variabel yang digunakan untuk membangun model spasial fase tanam padi adalah kombinasi indeks vegetasi yaitu NDVI, EVI, SAVI, NDWI, dan variabel waktu. Pemodelan spasial untuk estimasi produktivitas padi juga menggunakan model regresi dengan variabel rawan bencana yaitu bencana banjir, kekeringan, longsor dan variabel curah hujan. Algoritma dibangun berdasarkan kondisi fase tanam padi. Estimasi produktivitas padi berdasarkan pengaruh kerentanan lingkungan ini memiliki akurasi paling baik dilakukan pada fase vegetatif yaitu sebesar 0,63  dan fase generatif sebesar 0,61, sedangkan pada fase awal tanam tidak dapat digunakan untuk mengestimasi produktivitas padi karena memiliki hubungan yang lemah dengan  akurasi sebesar 0,35.

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Food security is influenced by several factors, such as food availability, food aspect, food utilization and food vulnerability. An aspect that can affect food vulnerability is food productivity decline, such as rice. Since rise is the staple food in Indonesia, its productivity decline most likely will affect Indonesia`s food vulnerability. The cause of the rice productivity decrement is the condition of environmental vulnerability of a region. The purpose of this study is to build a spatial model of rice productivity based on environmental vulnerability in each planting phase using remote sensing and GIS technology. Spatial model is built based on the result of implementation of two models which are planting phase model and rice productivity model. Spatial modelling that is built to understand the distribution of rice planting phases applied random forest classification method with an overall accuracy of 0,92. The classification result divides the rice planting phase into the initial phase of planting, vegetative, generative and fallow phase. The variables used to build spatial model of the rice planting phase are a combination of vegetation indexes namely NDVI, EVI, SAVI, NDWI, and time variables. Spatial modeling for estimating rice productivity also uses regression model with disaster-prone variables, namely floods, droughts, landslides and rainfall variables. The algorithm is built based on the condition of the rice planting phase. Estimation of rice productivity based on the influence of environmental vulnerability has the best accuracy in the vegetative phase equal to 0,63 and generative phase 0,61, whereas in the initial phase of planting it cannot be used to estimate rice productivity due to its weak relationship with accuracy 0,35.

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"ABSTRACTOryza sativa, adalah tanaman pangan pokok terpenting di dunia yang dikonsumsi sekitar lebih dari tiga miliar orang (yaitu sekitar 50% dari populasi dunia). Indonesia menduduki peringkat ketiga produsen padi terbesar di dunia, namun masih melakukan impor beras dalam beberapa tahun terakhir. Pentingnya memperbarui informasi tentang estimasi produktivitas padi secara akurat untuk ketahanan pangan di berbagai wilayah. Tujuan dari penelitian ini adalah untuk menganalisis wilayah umur tanam padi dengan citra Sentinel-2 dan hubungannya dengan jenis tanah di Kecamatan Compreng, Subang dan Kecamatan Cariu, Bogor. Pada penelitian ini, metode NDVI (Normalized Difference Vegetation Index) digunakan untuk menentukan umur tanaman padi yang kemudian digunakan untuk estimasi produktivitas padi. Model estimasi produktivitas padi dibangun berdasarkan korelasi antara nilai NDVI pada saat pembentukan malai atau fase vegetatif optimum (sekitar 8-13 Minggu Setelah Tanam) dengan produktivitas padi dari beberapa titik sampel di lapangan. Model persamaan regresi untuk estimasi produktivitas padi di Kecamatan Compreng, Subang adalah y (ton/ha)= 5,905x-4,5546, sedangkan untuk Kecamatan Cariu, Bogor adalah y (ton/ha) = 14,603x - 3,6008, dimana y adalah estimasi produktivitas padi, dan x adalah nilai NDVI. Estimasi produktivitas padi menunjukkan adanya hubungan dengan jenis tanah di Kecamatan Cariu, Bogor, dan tidak memiliki hubungan dengan jenis tanah di Kecamatan Compreng, Subang. Estimasi produktivitas padi cenderung lebih tinggi berada pada lahan sawah dengan jenis tanah aluvial dan gleisol.

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ABSTRACT

Rice plant (Oryza sativa, sp) is the world's most important staple food crop for more than three billion people, (i.e., approximately 50% of the worlds population). Indonesia is ranked as the third largest rice producer in the world, still imports rice in recent years. It is urgently necessary to update information about rice growth and rice productivity estimation accurately for food security in various regions. The aim of this study is to estimate rice productivity with Sentinel-2 imagery and its relationship with soil types in Compreng Sub-District, Subang and Cariu Sub-District, Bogor. In this study, NDVI (Normalized Difference Vegetation Index) method is used for determine the age of rice plants which then used to estimate rice productivity. The model of rice productivity estimation was developed based on the correlation between NDVI value at the panicle formation or vegetative optimum (approx. 8-13 weeks after replanting) to the rice productivity of several sample plots. The regression equation model to estimate rice productivity in Compreng Sub-District, Subang is y (ton/ha) = 15,905x - 4,5546, while for Cariu Sub-District, Bogor is y (ton/ha) = 14,603x - 3,6008, where y is rice productivity estimation, and x is NDVI value. Estimation of rice productivity indicates a relationship with soil types in Cariu Sub-District, Bogor, and has no relationship with soil types in Compreng Sub-District, Subang. Rice productivity estimation tend to be higher in paddy fields with alluvial soil types and gleisol."