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All Journal Jurnal Minfo Polgan (JMP) Innovative: Journal Of Social Science Research
Rantung, Vivi Piggie
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Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Optimization Of Livestock Data Management With The Implementation Of Naïve Bayes In The Agricultural Service Information System At The Tomohon City Agriculture Office Rettob, Mario Rettob; Rantung, Vivi Piggie
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13417

Abstract

Case Study Research: Optimization of Livestock Data Management with the Implementation of Naïve Bayes in the Information System of the Department of Agriculture in Tomohon City. according to the data this year there was a lot of increase in the livestock sector, especially cattle, which was caused by the high birth rate this year, coupled with data stating that the growth of cattle in the Tomohon area was rapid but under control, with a lot of demand and also the number of births, making the Department want to predict the number of births and the success of cows for the upcoming watku. with the hope that the prediction process produced by the Naive Bayes algorithm is expected to make it easier for the Department to get results that can become predictive data for the future. With the hope that the prediction process produced by the Naive Bayes algorithm is expected to make it easier for the Department to get results that can become predictive data for the future. The study of prediction is one way to know the impact of the development that occurs in cattle in a period of time that can be determined so that a handling plan can be made if there is a spike and cannot be controlled, it can also control the birth rate and production of cows in Tomohon.Changes and predictions that can be made by utilizing existing livestock data can be done using a data analysis program with input data on cow development, cow care and cow gender. The simulation results can show the prediction of birth and also the success of cows
Penerapan Algoritma K-Nearest Neighbor Untuk Clustering Kebutuhan Obat Berdasarkan Mutasi Laporan Bulanan Pada Dinas Kesehatan Kabupaten Minahasa Enjelina, Enjelina; Rantung, Vivi Piggie
Innovative: Journal Of Social Science Research Vol. 3 No. 6 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pengelolaan kebutuhan obat dalam konteks Dinas Kesehatan adalah salah satu aspek penting dalam menjaga ketersediaan obat yang diperlukan untuk pelayanan di puskesmas. Penerapan algoritma k-Nearest Neighbor pada clustering kebutuhan obat berdasarkan mutasi ke puskesmas laporan bulanan pada dinas kesehatan kabupaten minahasa dapat membantu dalam mengoptimalkan penggunaan obat dan meminimalkan kekurangan stok obat. Algoritma k-Nearest Neighbor merupakan salah satu metode data mining yang digunakan untuk klasifikasi dan clustering data. Metode ini dapat digunakan untuk mengelompokkan data kebutuhan obat berdasarkan mutasi menjadi beberapa kelompok yang memiliki karakteristik yang sama. Hasil dari algoritma penelitian ini yang terdapat di dalam data mutasi ke puskesmas pada 29 juni 2023-30 juli 2023 yang terdapat mutasi tambah mempunyai accuracy (32.61), mutasi  kurang  mempunyai accuracy (55.88).
Co-Authors Enjelina Enjelina Rettob, Mario Rettob