Judul: Model Estimation Total Digestible Nutrient (TDN) of Tropical Concentrate Feeds
Abstrak: Penelitian ini bertujuan untuk membuat model pendugaan TDN dari data analisis komposisi kimia bahan pakan konsentrat asal negara tropis dan memvalidasi pendugaan yang telah dibuat dengan model pendugaan TDN yang umum digunakan di Indonesia. Data komposisi nutrient dalam satuan persen bahan kering (BK) seperti kadar abu, PK, LK, SK, BETN, neutral detergent fiber (NDF), acid detergent fiber (ADF), hemiselulosa, lignin dan TDN dari 46 data bahan pakan konsentrat asal tanaman tropis yang dikelompokkan menjadi bahan pakan konsentrat tropis sumber energi (n=22) dan bahan pakan sumber protein (n=24). Data dianalisis korelasi Pearson, regresi linier berganda dan uji asumsi klasik untuk menentukan model pendugaan TDN. Model kemudian divalidasi dengan menggunakan uji F, mean absolute deviation (MAD), root mean square error (RMSE), dan juga mean absolute percentage error (MAPE). Hasil menunjukkan bahwa model pendugaan yang dihasilkan dalam penelitian ini memiliki nilai MAD, RMSE dan MAPE yang lebih kecil dibandingkan dengan nilai MAD, RMSE dan MAPE dari model pendugaan TDN lain yang umum digunakan di Indonesia., The objective of this study was to determine a model equation to predict TDN using nutrient composition variables of tropical concentrate feeds as the predictor and validates the model prediction of TDN that has been made with other TDN model prediction that commonly used in Indonesia. The nutrient composition which all expressed as a percentage of dry matter such as ash, crude protein (CP), ether extract (EE), crude fiber (CF), nitrogen‐free extract (NFE), neutral detergent fiber (NDF), acid detergent fiber (ADF), hemicellulose, lignin and TDN of 46 concentrate feeds were collected in this study. Those 46 concentrate feeds were divided into two groups: concentrate energy source (n=22) and concentrate protein source (n=24). Pearson correlation and multiple linear regression analysis were used to measure TDN estimated models. Then models were validated with F-test, mean absolute deviation (MAD), root mean square error (RMSE), and mean absolute percentage error (MAPE). The result of this study shows that the TDN model prediction of this study has the smallest MAD, RMSE, and MAPE score compared to other TDN model predictions.
Keyword: feeds, model estimation, TDN, tropical consentrate

Judul: Variasi Kandungan Nutrien dalam Pakan dan Prediksi Kecukupannya pada Ransum Sapi Perah di Indonesia
Abstrak: Feed is the greatest cost component in dairy production. Availability and quality of feed dictate the productivity of the animal. This study was done to evaluate the nutrient content of dairy feed variation in Indonesia. Nutrition content of feed samples analized according to the proximate analisis conducted from 2008-2011 in Feed Quality Control Agency, Directorate General of Livestock Services, Ministry of Agriculture were used in this study. Data were evaluated according to descriptive analyis. The result showed that nutrient content of dairy feed had high variability. Nutrient content of some feed was higher or lower than that of Indonesia National Standard. Proportion of concentrate which their nutrients content were not in the range of SNI, were 81.63 %, 92.20% and 67.65% for ash, Ca and P respectively. It was suggested, that the policy in animal feed were important to establish inorder to inforce the available regulation in feed to minimize the potential loss experienced by the farmers
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Judul: The Effectiveness of Hyundai’s Product Placement in the Spider-Man: No Way Home Movie
Abstrak: Berkembangnya potensi strategi product placement seiring dengan perkembangan teknologi media hiburan menjadikan Hyundai tertarik untuk melakukan strategi tersebut dalam film Spider-Man: No Way Home. Kerja sama Hyundai dengan film tersebut menjadi salah satu strategi product placement yang menarik untuk diteliti lebih dalam karena film tersebut berhasil menjadi film dengan pendapatan terbesar di dunia pada tahun 2021. Penelitian ini bertujuan untuk mengidentifikasi efektivitas strategi product placement yang dilakukan Hyundai dalam film Spider-Man: No Way Home dengan memperhatikan beberapa faktor yakni kesesuaian dengan alur cerita, frekuensi, jangkauan, dan dampak. Metode penelitian ini menggunakan pendekatan kualitatif dengan metode purposive sampling. Hasil dari penelitian menunjukkan bahwa strategi product placement Hyundai dalam film Spider-Man: No Way Home teridentifikasi sebagai strategi yang efektif dalam tiga dari empat faktor. Sementara pada faktor dampak belum dapat dikatakan efektif sehingga terdapat beberapa rekomendasi yang dapat dilakukan Hyundai kedepannya., The development of product placement strategies in line with the advancement of media technology has led Hyundai to be interested in implementing this strategy in the Spider-Man: No Way Home movie. The collaboration between Hyundai and this movie serves as an intriguing product placement strategy to be further investigated, as the film has become the highest-grossing film in the world in 2021. This research aims to identify the effectiveness of Hyundai's product placement strategy in the Spider-Man: No Way Home movie considering several factors such as alignment with the storyline, frequency, reach, and impact. The research methodology employed is a qualitative approach using purposive sampling. The findings of the research indicate that Hyundai's product placement strategy in the film Spider-Man: No Way Home is identified as effective in three out of four factors. However, in terms of impact, Hyundai's product placement strategy has not been considered effective so there are several recommendations for Hyundai to consider in the future.
Keyword: efektivitas, Hyundai, product placement, Spider-Man: No Way Hoe