Judul: Perencanaan Produksi Agregat  Pt. Unitex, Tbk
Abstrak: As an integrated textile company agroindustry, PT. Unitex, Tbk has developed into one of the companies that successfully survive in the competitive global textile industries in the world. With the increasingly tight competition, require an industry to make the production process at an optimal and efficient. To achieve maximum production, each industry to do some planning of production. Aggregate production planning is the planning that is comprehensive and general. Planning will be conducted to provide a broad picture of the conditions that will come. Thus, in decision making can be determined is the best policy for the company in achieving the target and the efficiency of production. This study aims to identify the factors and issues that effect in aggregate production planning at PT. Unitex, Tbk., Make forecasts and forecasting demand for products to meet consumer needs, plan a schedule of aggregate production and optimal efficiency by considering the target to be achieved by the company. Planning is reviewed in this research are limited in the process of cloth production, the Yard Dyed and Piece dyed. Planning horizon for 12 periods (months). In the demand forecasts, the model used was the model ARIMA (Auto Regressive Integrated Moving Average), which was developed by Box Jenkins. In its processed with the program package Minitab 14. Results from the demand forecasts is the basis for the preparation of the production planning model. Aggregate production planning is done by considering the factors in the decision making of management company associated with the production capacity, product supply, the determination of regular working hours and overtime with the cost of production may be minimize. Determining the optimal level of efficiency as the settlement of aggregate production planning to use this method or model linier goal programming with the help of the program package LINDO (Linier discrete Interactive Optimizer). Policy management company set three priority objectives in the aggregate production planning, namely: (1) Level of production to meet the number of requests, (2) Production is not more than regular working hours are available, and (3) Production is not be in romance of overtime work hours are available. Planning is the result of the optimal planning that minimize distortions of the target to be achieved by the company in production. Appropriate model is used to model the demand forecasts ARIMA (1,0,1) with a total of 12.914.586 forecasts demand meters. Aggregate production planning results indicate that the amount of production in the regular working hours of 12.311.759 meters, so that production takes time in the overtime hours worked during the 309 hours and the amount of production on overtime working hours of 602.827 meters. The results of this plan required the total cost of production of up to Rp. 134.828.277.840,00.
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Judul: Analysis of Aggregate Production Palnning with Fixed Labour Number
Abstrak: Penelitian dilakukan pada sebuah manufaktur plywood (kayu lapis) yang dibangun pada tahun 2014. Perusahaan selalu berupaya menemukan perencanaan produksi yang lebih baik untuk meningkatkan daya saing perusahaan. Salah satu upaya yang sedang dilakukan saat ini adalah mencari strategi perencanaan produksi yang sesuai dengan perusahaan dan memiliki biaya minimum. Penelitian tentang perencanaan produksi perusahaan diperlukan untuk menyeimbangkan jumlah produksi perusahaan dengan permintaan fluktuatif, yang akan berdampak pada biaya produksi yang minimum. Tujuan dari penelitian ini adalah untuk mengetahui permintaan yang ada di periode yang akan datang dan mendapatkan perencanaan produksi dengan biaya minum. Penelitian ini dilakukan dengan metode peramalan permintaan menggunakan software minitab dan perencanaan produksi agregat. Berdasarkan hasil analisis diketahui bahwa metode ARMA adalah yang paling tepat untuk digunakan sebagai dasar dalam mengetahui jumlah permintaan plywood di perusahaan pada periode mendatang dengan nilai kesalahan MSE sebesar 0,020. Berdasarkan perhitungan yang ada pada perencanaan agregat yang telah dilakukan menggunakan data permintaan periode mendatang dan data produksi perusahaan diketahui bahwa metode yang memenuhi jumlah permintaan dan memiliki biaya paling rendah adalah metode chase strategy. Metode ini digunakan dengan cara menambah atau mengurangi jumlah jam kerja berdasarkan jumlah permintaan yang ada pada bulan tersebut. Implikasi manajerial yang direkomendasikan bagi perusahaan adalah melakukan peramalan permintaan dengan metode ARMA, kemudia hasil tersebut dapat dimasukan kedalam perencanaan produksi dengan strategi chase, yang akan berdampak pada pengurangan biaya produksi di periode mendatang. Dikarenakan jumlah pekerja yang berlebih, perusahaan dapat melakukan efisiensi pekerja yang terdaftar menjadi 696 karyawan., The research was carried out on a plywood manufacturing plant that was built in 2014. The company always strives to find better production plans to improve the competitiveness of the company. One of the efforts being made now is to find a production planning strategy that is suitable for the company and has a minimum cost. Research on company production planning is needed to balance the amount of company production with fluctuating demand, which will have an impact on minimum production costs. The purpose of this study is to determine the demand in the coming period and obtain production planning with drinking costs. This research was conducted by demand forecasting method using Minitab software and aggregate production planning. Based on the results of the analysis note that the ARMA method is the most appropriate to be used as a basis in knowing the number of plywood requests in the company in the coming period with an MSE error value of 0.020. Based on the existing calculations on aggregate planning that has been done using demand data for the coming period and company production data it is known that the method that meets the number of requests and has the lowest cost is the chase strategy method. This method is used by increasing or reducing the number of hours worked based on the number of requests that exist in that month. Managerial implications recommended for companies are to forecast demand by the ARMA method, then these results can be included in the production planning with a chase strategy, which will have an impact on reducing production costs in the coming period. Due to
Keyword: the number of permanent workers, demand forecasting, aggregate production planning

Judul: Gambaran darah ikan mas Cyprinus carpio yang terinfeksi koi herpes virus
Abstrak: Iak memiliki sistem pertahanan tubuh untuk melawan berbagai macam penyakit. Pertahanan tubuh ikan terbagi 2 sistem yaitu pertahanan non-spesifik yang terdiri atas kulit, sisik, lendir dan darah dan pertahanan spesifik yaitu antibodi. Darah adalah cairan tubuh, yang berfungsi mengangkut oksigen, makanan dan hormon ke seluruh jaringan agar semua sel dapat berjalan sesuai fungsinya.
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