Abstract:Abstract: The Asahan Regency Animal Husbandry and Animal Health Service carries out outreach activities on the level of demand for boiler chicken, which means that the department must be more active in collecting data on…
the volume of boiler chicken every year because consumer demand for chicken continues to increase and instability often occurs. Where in the period 2012 to 2024 there was a significant increase in demand. So it becomes an obstacle in the stock of chickens in the Asahan Regency market which must be prepared. If there is too much chicken supply but the demand for chicken consumption decreases then this will result in a loss, conversely if the demand for chicken consumption increases but the chicken supply cannot be prepared then this will be a loss for chicken traders and distributors. To increase the accuracy of the estimates, the use of the Single Exponential Smoothing Method is proposed. This method smooths past values with exponential weights, placing greater emphasis on recent data. Using data from the last 12 (twelve) years as reference data for recording the past for forecasting experiments for the next 1 (one) month. Experiments using different Alphas test accuracy in actual situations. The results of the experiment with an alpha of 0.9 are almost the same as the actual value in predicting the situation one year into the future with the lowest error, namely MAPE 7.4% and forecasting broiler chicken meat supplies of 13661261.46 chickens.
Keywords: broiler chicken; ses method; web based.
Abstrak: Dinas Peternakan dan Kesehatan Hewan Kabupaten Asahan melakukan aktivitas penyuluhan tingkat permintaan ayam boiler dimana pihak dinas harus lebih aktif dalam melakukan pendataan volume ayam boiler setiap tahunnya karena permintaan konsumen terhadap ayam sering terjadi ketidakstabilan. Dimana pada periode tahun 2012 sampai dengan 2024 terjadi kenaikan permintaan yangsignifikan. Sehingga menjadi kendala dalam stok ayam di pasar Kabupaten Asahan yang harus disiapkan. Jika persediaan ayam terlalu banyak namun permintaan akan konsumsi ayam menurun maka ini akan manjadi kerugian, sebaliknya jika permintaan akan konsumsi ayam meningkat namun persediaan ayam tidak dapat disiapkan maka ini menjadi kerugian bagi pihak pedagang dan distributor ayam. Untuk meningkatkan ketepatan perkiraan, penggunaan Metode Single Exponential Smoothing diusulkan. Metode ini menghaluskan nilai masa lalu dengan bobot eksponensial, memberikan penekanan lebih besar pada data terbaru. Penggunaan data 12 tahun terakhir sebagai data acuan pencatatan masa lalu untuk percobaan peramalan untuk 1 (satu) bulan kedepan. Penggunaan Alpha yang berbeda menguji akurasi dalam situasi aktual. Hasil dari penelitian dengan alpha 0,9 hampir sama dengan nilai aktual dalam meramalkan keadaan satu tahun ke depan dengan error yang paling rendah yaitu MAPE 7,4% dan peramalan persediaan daging ayam broiler sebanyak 13661261,46 ayam.
Kata kunci: berbasis web; daging ayam broiler; metode ses.
Abstract:Abstract: The need for fulfilling the quantity and quality of beef in Indonesia is still very less than the supply of beef in Indonesia, for 2020 alone the demand for beef in Indonesia is around 700,000 tons while the domestic…
mestic supply is only 400,000 tons, from that Indonesia is still 300,000 tons less. Therefore, to meet the beef needs, an additional supply of beef is needed by importing beef from abroad in the form of processed meat and prospective beef breeders. The problem experienced by independent local breeders is the selection of the best cattle breeds The process of selecting cattle breeds conducted so far by farmers is still manual and traditional. They did this because of the lack of qualified knowledge to choose the best beef breed based on certain criteria and which alternative cow options are suitable for beef cattle. So that the process of enlarging cattle breeds becomes shorter in time with maximum results. The technology used is using the MOORA and WASPAS methods as a comparison in determining the best beef cattle breeds. The method is expected to produce a comparison so that the results obtained from a more accurate method in selecting the best beef breeders in order to advance the local independent livestock business in particular and become self-sufficient beef in general.
Keywords: Beef Cattle; decision support system; MOORA; WASPAS
Abstrak: Kebutuhan akan pemenuhan kuantitas dan kualitas daging sapi di indonesi sangat masih kurang dari persedian sapi yang ada di Indonesia, untuk tahun 2020 ini sendiri kebutuhan akan daging sapi di Indonesia sekitar 700.000 ton sementara persedian dalam negeri hanya mencapai 400.000 ton, dari itu Indonesia masih kurang 300.000 ton lagi. Oleh karena itu, untuk mencukupi kebutuhan daging sapi tersebut diperlukan tambahan suplai daging sapi dengan melakukan impor daging sapi dari luar negeri baik berupa daging olahan maupun bakalan calon bibit sapi. Masalah yang dialami oleh para peternak lokal mandiri yaitu pemilihan bibit sapi terbaik Proses pemilihan bibit sapi yang dilakukan selama ini oleh peternak masih dengan cara manual dan tradisional. Hal tersebut mereka lakukan Karena kurangnya pengetahuan yang mumpuni untuk memilih bibit sapi terbaik berdasarkan kriteria-kriteria tertentu dan beberapa pilihan alternatif sapi mana yang cocok untuk dijadikan sapi potong. Sehingga dengan demikian proses pembesaran bibit sapi menjadi lebih singkat waktunya dengan hasil yang maksimal. Teknologi yang digunakan yaitu menggunakan metode MOORA dan WASPAS sebagai pembanding dalam menetukan bibit sapi potong terbaik. Dari metode tersebut diharapkan menghasilkan perbandingan sehingga didapat hasil dari metode yang lebih akurat dalam pemilihan bibit sapi terbaik demi memajukan usaha peternakan mandiri lokal secara khusus dan menjadi swasembada daging sapi secara umum.
Kata Kunci: bibit sapi; sistem penunjang keputusan; MOORA; WASPAS
Abstract:Beef is a livestock product that has economic value. The high demand for meat requires farmers to cultivate cows by supplying cattle to meet consumer needs. In terms of selecting beef cattle seeds, independent breeders still…
till do traditionally. During this time farmers still use the trial and error method in choosing the best type of cow even just concerned with the price factor. This will obviously affect the quality of cattle which results in expensive maintenance costs, less than optimal production yields and even death of cows. The purpose of this study was to conduct a study of the application of technology in the selection of the best beef cattle to increase livestock yield, especially for local independent breeders. The technology used is a combination of the Analytical Hierarchy Process (AHP) method and the Multy Factor Evaluation Process (MFEP) Method. Through a combination of methods, researchers analyzed each criterion and alternative related to the selection of the best beef cattle. AHP method was chosen because it has the ability to analyze more consistent criteria. While the selection of the MFEP method is due to having the ability to analyze alternatives based on existing criteria in a simple and accurate way. The results of the AHP and MFEP analysis method are AHP analysis to assist in determining the priority factors of beef cattle seedlings and applied to the MFEP method which produces the highest alternative A6 with a value of 0.508. This research is expected to become a new foundation for farmers in knowing the criteria and alternatives in determining the best type of beef cattle.
Abstract:Meat is one of the essential food ingredients in meeting the nutritional needs. The current problem lies in the consumers' lack of knowledge on how to differentiate between pork, beef, goat, and lamb meat. This is because…
e when the meat is already cut, their appearances may seem similar at first glance. Many consumers are unaware of the practice of mixing different types of meat for consumption. One way to classify animal meat is by using image processing. In this research, an image processing system is created to classify meat, specifically pork, beef, goat, and lamb. Support Vector Machine (SVM) is a development of Machine Learning that can be used in classifying images into specific classes. SVM method as a classifier is performed using a confusion matrix. The test results show the highest accuracy value obtained in the class of Goat Meat 91.4%, the highest precision in the class of goat meat 80%, the highest recall in the class of beef 81.3%, and the highest F1-score in the class of beef 0.76.
Abstract:Halal food means food that is permitted under Islamic law and meets the requirements, namely that it does not contain any ingredients that are not permitted under Islamic law. The absence of information regarding the halal…
al food contained in food sold in Mamuju City means that it is necessary to carry out research that can provide information regarding the halalness of food products sold by traders in Mamuju City, especially instant food or ready-to-eat food that does not have a halal brand, logo or permit. BPOM (Food and Drug Supervisory Agency). This research aims to detect pork contamination in unbranded nuggets and meatballs sold by producers and traders in Mamuju. The method used was to carry out tests using a Porkcine detection kit on unbranded nugget and meatball food samples. The positive control used was a sample of processed meat containing pork. The test results showed that all food samples of nuggets (3 types) and meatballs (3 types) did not contain pork protein (negative results). This way the food is safe for consumption. This way the food is safe for consumption. Even though in this study the food tested negative contained non-halal food ingredients, consumers should still be careful in choosing the food they want to consume, especially products that do not have the product name, list of ingredients used, net weight or net content, name and address of the party. Who produces or imports, halal for those required, production date and code, expiration information, distribution permit number, and the origin of certain food ingredients