No abstract

Banten Province has a fluctuation inflation. The highest inflation is contributed by food category. Therefore, the price of food commodity become an important issue in the province of Banten. This research analyze the prices of food commoditiy, such as rice, corn, curly red chili,  onion, beef, chicken meat and layer egg. The purposes of this research are, to describe the food commodity price developments in Banten using descriptive analysis, to analyze fluctuations of food commodity prices and their impact on inflation in Banten using VAR models (Vector Autoregression), to analyze the inflation linkages between regions around Banten using Granger Causality. The results show the developments of commodity prices such as rice, corn, curly red chili, onion,beef, chicken meat and layer eggs generally showed an upward trend. VAR analysis results showed that in the short term only curly red chili which have a significant impact on inflation in Banten. On the long-term there are six commodities that impact significantly on inflation in Banten, those are beef, corn, rice, chicken meat, layer egg and red chili curly. The results of Granger causality test show that there is only one way relation that is Banten inflation affecting Lampung inflation.

The presence of weeds in palm oil plantations have been widely known to result in a decrease in the quantity and quality of fresh fruit bunches (FFB), disruption to plant growth, increased pest and disease attacks, disruption of water use, and in general will increase the cost of farming. These systemic risks have been mitigated with the use of herbicides. The economic use of herbicides has a positive impact on reducing production costs, especially saving labor costs and time during land clearing and plant maintenance so as to increase farmers’ income and profits. The efficiency of palm oil production by using herbicides and other weed control alternatives and the determinants were analyzed with a production efficiency approach. Production functions explain the technical relationship between a number of inputs used with output in a production process in palm oil sector. The regression method was carried out by utilizing survey data of palm oil farmers in Indonesia’s palm oil plantation centers in Riau-, Jambi, Central- and West Kalimantan-Provinces. The results showed that the factors which significantly affect production efficiency of the sample consisting of age planting, glyphosate dosage, paraquat dosage, KCl fertilizer, and Dummy land area. Meanwhile, the use of paraquat, glyphosate, KCl, and urea was considered non optimal. Hence, it is recommended to add the use of herbicides to attain the optimization of production.

Distrik Mandobo (baca: Kecamatan Mandobo) merupakan pusat aktivitas wilayah di Kabupaten Boven Digoel. Distrik Mandobo memiliki sumberdaya alam berlimpah, dengan tutupan hutan yang masih asli. Saat ini, perkembangan Kota Tanah Merah sangat pesat, sehingga memerlukan perencanaan wilayah yang komprehensif. Perencanaan wilayah harus selaras dengan kebijakan lainnya (dari berbagai level) dan harus sesuai daya dukung lahannya. Tujuan penelitian ini adalah menganalisis kesesuaian lahan tanaman pangan, penentuan arahan pengembangan komoditas berdasarkan keselarasan, ketersediaan, dan prioritas lahan serta melakukan perhitungan perkiraan kebutuhan pangan berdasarkan potensi lahan. Teknik analisis yang digunakan adalah analisis kesesuaian lahan, analisis Sistem Informasi Geografi (SIG) dan matriks logis penentuan keselarasan, ketersediaan, serta prioritas pengembangan tanaman pangan. Berdasarkan hasil analisis kesesuaian lahan padi, jagung, dan ubi, terdapat 80% lokasi studi merupakan kelas kesesuaian lahan cukup sesuai (S2) dan sesuai marginal (S3). Prioritas II merupakan prioritas pengembangan tanaman pangan yang terluas, yaitu untuk tanaman padi irigasi yang mencakup luasan sebesar 48% dari luas Distrik Mandobo. Kebutuhan beras di Distrik Mandobo bisa tercukupi dari lahan tersedia dengan asumsi apabila lahan ditanami semua dengan padi. Perencanaan lahan pertanian ini penting untuk memberikan informasi bagi pemerintah daerah dalam rangka perencanaan wilayah serta penyiapan lahan pertanian pangan berkelanjutan.

The agricultural sector is strategic and the third-largest contributor to the GRDP of West Java Province, but its growth has slowed during the 2016–2019 period. The slow growth rate can be caused by the determinants of the growth of the agricultural sector itself and is very likely to be affected by the spatial interaction between regions in the province. Therefore, this study aims to analyze the spatial effect between regions on the growth of the agricultural sector in West Java and identify the factors that influence the growth of the agricultural sector within the province by using spatial analysis of panel data. The results reveal that the appropriate model is a fixed effect spatial error model, which shows an effect of spatial interaction between regions on the growth of the agricultural sector in West Java Province. The factors that affect the growth of the agricultural sector are agricultural credit, agricultural road infrastructure, and diversification of economic activities.   Keywords: agricultural sector growth, spatial autoregressive, spatial error model, spatial panel data