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All Journal CogITo Smart Journal Frontiers JOINTER : Journal of Informatics Engineering Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Ismart Edu: Jurnal Pendidikan Teknologi Informasi Jurnal Minfo Polgan (JMP) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Indonesia Sosial Teknologi Jurnal Penelitian Rumpun Ilmu Teknik Innovative: Journal Of Social Science Research
Vivi Peggie Rantung
Universitas Negeri Manado
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering 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 Mario Rettob Rettob; Vivi Piggie Rantung
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
APLIKASI FORUM TRANSLASI BAHASA INDONESIA-MANADO BERBASIS WEB MENGGUNAKAN METODE EXTREME PROGRAMMING Vivi Peggie Rantung; Abimanyu Marvie Dwisuprapto; Ferdinan Ivan Sangkop
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.530.451-463

Abstract

Manado language (Manadonese) is one of the languages that is registered in the ISO 639-3 standard system with the code of xmm and used by 3.320.000 users. In daily life, Manadonese is commonly used verbally. In its oral use, Manadonese becomes a low-resource language, meaning it lacks text-based resources, which makes it difficult to develop various linguistic-based technologies to preserve Manadonese. This research aimed to provide a data source to develop advanced linguistic-based technology. The methodology used for this research is extreme programming (XP). The result of this research is a Web-Based Application Of Indonesia-Manado Translation Forum with various functions, such as uploading Indonesian articles that will be translated into Manadonese, from this diverse amount of translation the best of it will be chosen to be processed every word and sentence that will be saved in the database. The application is tested with Acceptance Testing as an indicator and the result shows that the forum managed to accomplish the goal set up before.
Co-Authors Abdiel Jeremia Winston Wongkar Abimanyu Marvie Dwisuprapto Andrew C. J. Mangkey Andrew Christensen Jehezkiel Mangkey Ayu Triana Situmorang Cindy Pamela C Munaiseche Civita Loho Daniel Riano Kaparang Enjelina Enjelina Ferdinan I. Sangkop Fradel R. Sigar, Verry R. Palilingan, Mario T. Parinsi Frimer Kakahis Gabriel Tamboto Gideon Febri Tuuk Gladly C Rorimpandey S.T, MISD Gladly Caren Rorimpandey Hiskia Kamang Manggopa Luckie Sojow Marcelliano Riccardy Anantho Omega Kalitouw Mario Rettob Rettob Meyly Olivia Worang Michella Undap Nancy Sylvia Bawiling Olivia Manabung parabelem tinno dolf rompas Quido C. Kainde Ramdan Adjis Rima Ramba Shania Kaparang Sondy Kumajas Trudi Komansilan