Judul: Regional Rural Transformation in Indonesia Base on Low Value Agriculture Commodities
Abstrak: Transformasi perdesaan menggambarkan pergeseran fokus produksi dari komoditas pertanian bernilai rendah menuju bernilai tinggi. Berdasarkan data share PDRB komoditas pertanian bernilai rendah di Indonesia mengalami penurunan dibandingkan komoditas pertanian bernilai tinggi, sehingga mengindikasikan terjadinya proses transformasi perdesaan di Indonesia. Penelitian ini bertujuan mengetahui kondisi komoditas pertanian bernilai rendah di Indonesia dengan periode waktu multi tahunan dari tahun 2000 sampai 2018 dan mengetahui pengaruh institusi, kebijakan, dan investasi terhadap transformasi perdesaan di Indonesia berdasarkan komoditas pertanian bernilai rendah. Metode yang digunakan dalam penelitian ini adalah analisis deskriptif dan analisis regresi data panel dengan menggunakan data 25 provinsi di Indonesia dengan periode waktu multi tahunan dari tahun 2000 sampai 2018. Hasil estimasi data panel pada penelitian ini menunjukan variabel fasilitas keuangan (koperasi), fasilitas pasar, PMA sektor pertanian, PMDN sektor pertanian, dan fasilitas kesehatan (rumah sakit) diketahui berpengaruh secara negatif dan signifikan terhadap share PDRB pertanian subsektor tanaman pangan. Variabel luas lahan, dana desa, dan tenaga kerja subsektor pangan berpengaruh positif dan signifikan terhadap share PDRB pertanian subsektor tanaman pangan. Kata kunci : komoditas pertanian bernilai rendah, subsektor pangan, transformasi perdesaan, Rural transformation illustrates the transition of low value agricultural commodities to high value comodities. Based on data, low value agricultural comodities in Indonesia had decreased compared to high value commodities, indicates of rural transformation in Indonesia. This studied aims to determine the condition of low value commodities in Indonesia with a multi-year period from 2000 to 2018 and to determine the influence of institutions, policies, and investments on rural transformation in Indonesia based on low value commodities. This study used descriptive analysis and panel data regression analysis method using data from 25 provinces in Indonesia with a multi-year period from 2000 to 2018. The estimation results of panel data in this studied showed the variables of financial facilities, market facilities, PMA in the agricultural sector, PMDN in the agricultural sector, and health facilities were known to have a negative and significant effect on the share of PDRB of the food crop agriculture sub-sector. The variables of land area, dana desa, and labor in the food sub-sector had a positive and significant impact on the share of PDRB of the food crop agriculture sub-sector Keywords: food crop agriculture sub-sector, low value agricultural comodities, rural transformation
Keyword: komoditas pertanian bernilai rendah, subsektor pangan, transformasi perdesaan

Judul: Pertumbuhan Pertanian Bernilai Tinggi dan Transformasi Perdesaan di Wilayah Indonesia
Abstrak: Agriculture and rural areas are two things that cannot be separated. Rural transformation can be seen by the shifting focus of production from low-value agricultural commodities to high-value agricultural commodities. This study aims to analyze the condition of high-value agricultural GDPR and determine the effect of IPIs on high-value agricultural GDPR and its implications for rural transformation in Indonesia in the period 2000 to 2018 using multi-annual data and 25 provinces as individual objects. The analysis methods used are descriptive analysis and panel data regression analysis. The research results show that there is high-value economic growth in Indonesia. The variables bank, electricity, middle school & high school (secondary) education facilities, General Allocation Funds (DAU), PMA in the agricultural sector and PMDN in the agricultural sector have a significant positive effect. Meanwhile, the Village Fund variable has a significant negative effect. However, the cooperative, market and PMDN variables in the non- agricultural sector have an insignificant positive effect. Meanwhile, non- agricultural PMA has an insignificant negative effect on high-value agricultural GDPR.
Keyword: panel data, fixed effect model, high value agriculture, transformation

Judul: Hydrothermal Synthesis of Biphasic Calcium Posphate
Abstrak: Biphasio calsium phosphate (BCP), which was a mixture of hydroxypatite (HA) and tricalcium phosphate (TCP), was synthesized by hydrothermal method followed by sintering process. Hydroxyapatite was produced by using natural calcium source CaO from hen's eggshell and (NH4)2HPO4 as phosphate souce, other hydroxyapatite sample was produce by using synthetic calcium source Ca(OH) and H3PO4 as phosphate source.
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