No abstract

Batu Bara Regency is a region with abundant natural resources, one of which is the cultivation of grouper fish. Grouper is a member of the Serranidae family of coral reef fish. Many groupers are raised in ponds, which makes them susceptible to disease due to environmental and dietary factors that are not adapted to grouper fish, which is a native species. Parasites are one of the grouper-infecting diseases that, if left untreated, can result in mass mortality and harm farmers. The aim of this study was to identify parasites in ponds in Mesjid Lama Village, Talawi District, so that it would be easier to determine the type of parasite, its level of attack, and subsequent efforts to eradicate it. This research employs a sampling technique, specifically a random sampling of orange-spotted grouper. The results of the performed analysis include analyses of both ectoparasites and endoparasites. Several types of ectoparasites were identified, including Cryptocaryon irritans, Pseudorhabdosynochus sp, Benedenia epinepheli, and Caligus sp, while Prosorynchus sp was identified as the endoparasite. The most prevalent parasite found in the fish is Cryptocaryon irritans.Keywords: EndoparasiteParasitesGrouper

The backpropagation algorithm has many training and activation functions that can be used to influence or maximize prediction results, all of which have their respective advantages and disadvantages. The purpose of this paper is to analyze one of the training functions of the backpropagation algorithm which can be used as a reference for use in data prediction problems in the form of models and best performance. The training function is the Bayesian Regularization method. This method is able to train the network by optimizing the Levenberg-Marquardt by updating the bias and weights. The research dataset used to analyze the data in this paper is Formal Education Participation in Indonesia 2015-2020 which consists of the School Participation Rate, the Gross Enrollment Rate, and the Pure Enrollment Rate. The 2015-2016 dataset is used as training data with a 2017 target, while the 2018-2019 dataset is the test data with a 2020 target. The models used are 2-10-1, 2-15-1, and 2-20-1. Based on the analysis and calculation process, the results of the 2-15-1 model are the best with an epoch of 217 iterations and an MSE of 0.00002945, this is because the epoch is not too large and has the smallest MSE compared to the other 2 models.

- Asahan University is one of the private universities in North Sumatra which has Institution B accreditation in 2019 which is led by the Chancellor Prof. Dr. Ibnu Hajar, M.Sc, Asahan University has a Research and Community Service Institute (LPPM) that regulates the process of conducting research and service of lecturers in Asahan University, but the current problem is that the selection system still uses manual methods by checking data such as whether the uploads research or dedication, looks at proposals submitted by lecturers to LPPM, lecturers' biodata, details of fees, looks at the feasibility of research and service titles. To overcome the current problems in determining the selection of internal grant funding at Asahan University by applying the SAW method calculation algorithm from each of the criteria such as preliminary criteria, literature review criteria, criteria of research and technology research criteria, research method criteria, language criteria and the output criteria from the calculation results is a decision whether or not the lecturer is entitled to get help. From the results of this study, the applications generated are following the existing provisions to overcome the problems that occur at Asahan University LPPM.Keywords - Asahan University, LPPM, Decision Making System, Internal Hibah, Research and Service, SAW Method Abstrak - Universitas Asahan merupakan salah satu Universitas swasta yang ada di Sumatera Utara yang memiliki akreditasi Institusi  B pada tahun 2019 yang di  pimpin oleh Rektor  Prof. Dr.  Ibnu Hajar, M.Si, Universitas Asahan memiliki Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) yang mengatur proses pelaksanaan penelitian dan pengabdian dosen yang ada di lingkungan Universitas  Asahan, namun masalah saat ini sistem seleksi masih menggunakan cara manual dengan mengecek data-data seperti apakah dia mengunggah penelitian atau pengabdian, melihat proposal yang diajukan dosen ke LPPM, biodata dosen, rincian biaya, melihat kelayakan judul penelitian  dan pengabdian. Untuk mengatasi masalah yang terjadi saat ini pada penentuan seleksi penerimaan dana  hibah internal yang ada di Universitas Asahan dengan cara menerapkan algoritma perhitungan metode SAW dari tiap-tiap keriteria seperti kriteria pendahuluan, kriteria kajian pustaka, kriteria ungga ristekdikti, kriteria metode penelitian, kriteria bahasa dan kriteria luaran dari hasil perhitungan didapat suatu keputusan berhak atau tidaknya dosen mendapatkan bantuan. Dari hasil penelitian ini aplikasi yang dihasilkan sesuai dengan ketentuan yang ada untuk mengatasi masalah yang  terjadi pada LPPM Universitas Asahan.Kata Kunci  -   Universitas Asahan, LPPM, Sistem Pengambilan Keputusan, Hibah Internal, Penelitian dan Pengabdian, Metode SAW

This study aims to determine the superior students in a school based on the achievements of the students. To solve this problem, the writer uses the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) method. MOORA is a relatively simple method that can rank a number of alternatives by subtracting the previously weighted benefit and cost criteria. The results showed that the highest ranking value was found in alternative A1 with a result of 0.1906 and followed by alternative A2 with a result of 0.1901.