Judul: Analisis Pemalsuan Tepung Ikan dengan Dedak Padi Menggunakan Metode Image Analyis
Abstrak: Adulteration of feed ingredients is one of the main problems in ensuring quality. This study aims to identify the level of fish meal forgery using rice bran based on image analysis with a convolutional neural network algorithm. The number of datasets in this study was 3200 images which were divided into 2400 images for training data and 800 images for test data. The forgery treatment consists of P0=100% fish meal, P1= 90% fish meal+10% rice bran, P2=80% fish meal+20% rice bran, P3= 70% fish meal+30% rice bran and P4=100% rice bran. In the CNN algorithm, the image is processed through the input layer, feature extraction layer and fully connected. The results of this study obtained a training data accuracy value of 100% and a validation data accuracy value of 100%. In testing through the confusion matrix table, the results of 100% accuracy, 99% precision and 100% recal using 20 epochs were obtained. Based on this study, it was concluded that testing the counterfeiting of fish meal and rice bran using CNN can provide quite good and optimal results. Keyswords: adulteration analysis of feed ingredients, convolutional neural network, fish meal, image analysis, rice brain
Keyword: adulteration analysis of feed ingredients, convolutional neural network, fish meal, image analysis, rice brain

Judul: Variation of Rice Bran Quality in Dairy Cow Ration and Detection Of Counterfeiting Using Near Infrared Reflectance Spectroscopy (NIRS)
Abstrak: This study aims to create a database of rice bran and detect adulteration in rice bran using Near Infrared Reflectance Spectroscopy (NIRS) technology. The rice bran used in this study is rice brans from mills and poultry shops. This study used husks as an adulteration mixing material in rice bran with mixing levels of 25% rice bran: 75% husk, 50% rice bran: 50% husk, and 75% rice bran: 25% husk. The variables observed in this study were water content, ash content, crude fat, crude protein, and crude fiber. The analysis was carried out using proximate analysis and NIRS analysis. Calibration and validation were done using the Buchi NIRCAL 5.2 application. This study shows that the content of rice bran varies greatly and that the original rice bran from milling has better nutrient content than rice bran from the poultry shop. The accuracy of the NIRS method can be seen from the coefficient of determination, standard error, and RPD. The results of the T-test showed that the rice bran database was able to detect all parameters and was able to detect adulteration of rice bran.
Keyword: counterfeiting, NIRS, proximate analysis, rice bran

Judul: Kepemimpinan politik di Pedesaan pada era otonomi daerah : Studi kasus di Desa Sinambela, Kecamatan Baktiraja, Kabupaten Humbang Hasundutan, Sumatera Utara
Abstrak: Penelitian ini bertujuan untuk menganalisis hubungan pemerintah desa dengan BPD dalam pemerintahan desa, mengetahui karakteristik kepemimpinan politik di pedesaan, serta menelaah kehidupan politik masyarakat pedesaan sehubungan dengan perubahan struktur pemerintahan desa. Berdasarkan UU No. 22 Tahun 1999, penyelenggaraan pemerintahan desa memasuki babakan baru dengan kewenangan pengaturan ada pada pemerintahan kabupaten dan memberikan kesempatan yang luas untuk berpartisipasi bagi masyarakat desa dalam proses pembuatan kebijakan tingkat desa dengan dibentuknya Badan Perwakilan Desa (BPD). Berlakunya undang-undang tersebut menunjukkan adanya perubahan yang cukup penting dari segi struktur pemerintahan desa, yakni: pemisahan antara kekuasaan eksekutif dan legislatif. Penelitian dilaksanakan di Desa Sinambela, Kecamatan Baktiraja, Kabupaten Humbang Hasundutan, Sumatera Utara. berlangsung mulai bulan Desember 2003 sampai Januari 2004, Penelitian ini menggunakan metode kualitatif. Semua individu yang duduk dalam pemerintahan desa merupakan responden dalam penelitian ini, anggota BPD sebanyak 5 orang dan pemerintah desa sebanyak 5 orang juga. ...
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