Judul: Klasifikasi genotipe tanaman kenaf (Hibiscus cannabinus) menggunakan model Ammi
Abstrak: Multi-environments trials are effort in agriculture research to identify superior cultivars by examining adaptability of many genotypes of a cultivar in different environments. The expectation fiom these multi-environments trials is to find genotypes which highly adaptive in many environments (stable genotypes) and genotypes which only adaptable in certain environments (specific genotypes). Statistical method generally used for analysis of stability towards multi-environmeilts trials is AMMT (Additive Main Effect and Multiplicative Interaction) analysis. This method combines additive analysis of variance for treatments main effect and principal components analysis for interaction effect. Multi-responses become a special problem in AMMI analysis since this analysis can only works in single response. Thus, in many years analysis for multi-environments trials merely focused in one single response. There are infomation unexplained by rely on one only response.
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Judul: Klasifikasi Genotipe Pada Data Tidak Lengkap  Dengan Pendekatan Model Ammi
Abstrak: Multilocations trials play an important role in plant breeding and agronomic research. Study concerning genotype-environment interaction needed in selection of genotype to be released. AMMI (Additive Main effect and Multiplicative Interaction) is one of statistical technique to analyze data from multilocations trials. The analysis of AMMI is a combining analysis between additive main effect and principal component analysis. The main restriction of using AMMI analysis is balance data. However a multilocations trials give an opportunity of the occurrence of unbalance data become very big. It is intended for every combination of genotype and location have the same number of replication. Therefore, we must estimate the data which do not complete. Incomplete data case, it is needed some data estimation method analysis, at this research employed connected data method and EM-AMMI algorithm to estimate incomplete data. Data which used in this research is obtained from Indon Spices Medicinal Crops Research Institute (ISMECRI) Bogor. It is a secondary data of ginger essential content resulted from multilocations trials, sixteen of genotype ginger which tested at five location in West Java. Simulation result shows that estimation using connected data will obtain smaller MAPE if its followed by two times EM-AMMI algorithm, for the percentage of data lose 10% to 20%. Production of ginger essential content estimated with AMMI2 model can explain 76.09% interaction structure among location and genotype. Seen from stability of genotype, there are 2 stable genotype, that is genotype 3 and 7. Genotype 8, 12, 15 specific at location B; genotype 9, 11, 14, 16 specific at location D and E; and genotype 1, 2, 4, 5, 6, 10 and 13 specific at location A and C.
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Judul: Pelaksanaan program penerangan pembangunan di wilayah Kabupaten Bogor yang di lakukan kantor Departemen Penerangan RI / Puspenmas Kabupaten Bogor
Abstrak: Praktek Lapang (PL) ini dilakukan selama kurang lebih 2 bulan dari tanggal 9 Juli hingga 9 September 1984. Adapun tujuan praktek lapang ini adalah untuk mengamati dan mempelajari proses perencanaan dan pelaksanaan kegiatan Penerangan Pembangunan yang dilakukan Kantor Departemen Penerangan RI/PUSPENMAS Kabupaten sampai kepada Juru Penerangan Kecamatan yang ditujukan bagi masyarakat di pedesaan. Selain itu praktek lapang ini mengamati dan mempelajari keterlibatan para pemuka masyarakat dan warganya di pedesaan dalam kegiatan Penerangan Pembangunan. Di dalam tubuh Kantor Departemen Penerangan (DEPPEN) Kabupaten Bogor ada 3 seksi operasional, yaitu: Seksi Pembinaan Penerangan Mobile (Bina Penmob), Seksi Penerbitan dan Pembinaan Pameran (Bitpam), dan Seksi Pembinaan Penerangan Masyarakat (Bina Penmas). Kegiatan perencanaan dilakukan oleh Seksi Penyusunan Program Kegiatan (Progiat) yang dibantu oleh setiap Kepala Seksi. Sedangkan dukungan sarana kegiatan sebagian besar dilakukan oleh Sub-bagian Tata Usaha (Subag TU).
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