Judul: Evaluation of Corn Quality Control Implementation as Feedstuffs In Indonesia
Abstrak: Penelitian ini bertujuan untuk mengevaluasi kadar air, biji rusak, biji berjamur, benda asing, aflatoksin dan kesesuaian mutu jagung berdasarkan hasi uji laboratorium penguji pakan dan laboratorium pabrik pakan dengan standar mutu jagung menurut SNI 2020. Data yang digunakan adalah data sekunder pada tahun 2019 sampai 2020, jumlah 403 sampel diperoleh dari 6 laboratorium pakan milik pemerintah. Sementara data laboratorium pabrik pakan sebanyak 5.161 sampel yang diperoleh dari Laboratorium Pabrik A di Sumatera Utara, Laboratorium Pabrik B di Jawa Tengah dan Pabrik C di Sulawesi Selatan. Pada penelitian menggunakan Distribusi Frekuensi untuk melihat besaran persentase dari data hasil pengujian yang didapatkan pada laboratorium penguji pakan dan laboratorium pabrik pakan sesuai kategori nilai mutu SNI Jagung tahun 2020. Hasil Penelitian menunjukkan kadar air dari hasil pengujian pada laboratorium penguji pakan sudah memenuhi syarat mutu SNI. Hasil pengujian pada laboratorium pabrik pakan yang tidak memenuhi syarat SNI jagung 2020 untuk kadar air sebanyak 96,3%, biji rusak 1%, biji berjamur 1,2% dan aflatoksin 0,2%. Sedangkan benda asing sudah memenuhi syarat mutu SNI jagung tahun 2020. Kesimpulan penelitian yaitu penerapan SNI jagung 2020 sebagai acuan standar mutu bahan pakan jagung di Indonesia sudah tepat dilakukan untuk menjaga mutu jagung., The objective of this research was to evaluate moisture content, broken grains, mouldy grains, foreign substances, aflatoxin contamination and conformity of corn based on feed testing laboratories and feed mill laboratories with corn quality standards based on SNI 2020. In this research, secondary data in 2019-2020 were used, a total of 403 samples that obtained from six of feed testing laboratories. Meanwhile, a total of 5161 sample data from laboratory from feed mills were obtained from Factory A laboratory in North Sumatera, Factory B laboratory in Central Java and Factory C laboratory in South Sulawesi. In this study, the frequency distribution was used to evaluate the percentage of result obtained from the feed testing laboratory and feed factory laboratory with value category based on corn quality SNI 2020. The moisture content from the feed testing laboratory met the SNI quality requirements. The results in the feed factory laboratory did not meet the SNI 2020 requirement for a moisture content (96,3%), broken grains (1%), mouldy grains (1.2%), aflatoxin contamination (0.2%). Meanwhile, foreign substances were in normal condition as stated in SNI 2020. It could be concluded that the application of SNI 2020 as a reference for quality standards of corn as feedstuffs in Indonesia was appropriate to maintain the quality and safety of feedstuffs.
Keyword: corn, quality, SNI, energy source

Judul: Factors Affecting the Demand of Corn as an Animal Feed in Indonesia
Abstrak: Ayam merupakan salah satu sumber protein hewani yang paling murah dan berkontribusi paling besar tehadap pemenuhan protein jika dibandingkan dengan hewan ternak lainnya. Peningkatan permintaan daging ayam mendorong permintaan pakan ternak dan berakhir pada peningkatan permintaan jagung sebagai input terhadap pakan. Akan tetapi, permasalahan terjadi ketika produksi jagung nasional mulai tidak dapat memenuhi permintaan jagung nasional. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi permintaan jagung sebagai bahan pakan ternak dan memproyeksikan permintaan jagung sebagai pakan ternak hingga tahun 2024. Penelitian ini menggunakan model regresi linear berganda dengan metode Ordinary Least Square (OLS) dan model Autoregressive Integrated Moving Average (ARIMA). Hasil penelitian menunjukkan bahwa: 1) faktor-faktor yang memengaruhi permintaan jagung sebagai pakan ternak adalah harga jagung tingkat perdagangan besar dan konsumsi bungkil kedelai; 2) produksi jagung dan permintaan jagung sebagai pakan ternak di Indonesia terus mengalami peningkatan hingga tahun 2024 dengan laju pertumbuhan konsumsi lebih cepat dibandingkan produksi sehingga ketersediaan jagung Indonesia terus mengalami penurunan setiap tahunnya., Chicken is one of the cheapest sources of animal protein and contributes the most to protein supply compared to other livestock. The increasing demand for chicken meat drives the demand for animal feed, resulting in an increased demand for corn as a feed ingredient. However, issues arise when the national corn production can no longer meet the national demand for corn. This research aims to analyze the factors influencing the demand for corn as animal feed and project the demand for corn as animal feed until 2024. This research employs multiple linear regression models using the Ordinary Least Square (OLS) method and the Autoregressive Integrated Moving Average (ARIMA) model. The research findings indicate that: 1) factors affecting the demand for corn as animal feed include the wholesale corn price and soybean meal consumption; 2) corn production and the demand for corn as animal feed in Indonesia continue to increase until 2024, with consumption growth outpacing production, resulting in a continuous decrease in Indonesia's corn availability every year
Keyword: Aflatoxin, Corn Production, Quality, Quantity, Projection

Judul: Hamiltonian formulation for linear waves motion in two layers fluid
Abstrak: The surface wave could be considered as a wave that separates two fluids, namely water and air. Based on this assumption, it is introduced the interfacial wave, a wave between two layers of fluid with different density. The formulation of interfacial waves motion begins with deriving the base equation of irrotational ideal fluid. Furthermore, according to irrotational fluid assumption, the base equation can be stated in velocity potential. In this derivation, the fluids domain is assumed to be restricted by rigid lid boundary conditions, both at the upper and lower limit. Therefore, the interfacial waves motion can be explained in a hamiltonian formulation. In the hamiltonian formulation, total energy is defined as the sum of kinetic and potential energy. The hamiltonian system is obtained from reduction of kinetic energy by using the Dirichlet Neumann Operator. The resulted kinetic energy equation is nonlinear. Therefore, this form is linearized by first part of the Taylor expansion. This linearization gives a dispersion relation of linear wave. Based on this dispersion relation, the phase speed of the linear wave depends on the density ratio of the two layers fluid.
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