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All Journal Edumatsains Jurnal Saintek Lahan Kering Range : Jurnal Pendidikan Matematika Jurnal Ilmiah Wahana Pendidikan Transformasi: Journal of Economics and Business Management Jurnal Penelitian Ilmu Ekonomi dan Keuangan Syariah Amalgamasi: Journal of Mathematics and Applications
Damaris Lalang
Universitas Tribuana Kalabahi
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Physics Public Health Social Sciences Other

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Journal : Edumatsains

 1 
the PENGGUNAAN METODE SIMPELKS DALAM MENGOPTIMALKAN PENDAPATAN PADA PENJUALAN MAKANAN DI RUMAH MAKAN DINDA BATUNIRWALA KECAMATAN TELUK MUTIARA Damaris Lalang; Siti N. Aini Sya'ban; Dewi S. Penpada
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 5 No 2 (2021): Januari
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v5i2.2250

Abstract

This research aims to optimize revenue on food sales at Dinda's restaurant and the use of available raw materials to generate optimal profits, so to determine the right combination to maximize profits, Linear Proggaming with the simplex method can be used. The results obtained by using the simplex method, namely the restaurant grinding Dinda should produce 17 portions of Chicken rice (X1), 44 portions of Fish rice (X2), 10 portions of Soto rice (X3). From the number of portions of food produced by Dinda's restaurant, she gets a daily profit of Rp. 1,250,000.
APLIKASI METODE FUZZY CLUSTERING MEANS UNTUK DATA TRENDING KASUS VAKSIN CORONA PADA JEJARING SOSIAL TWITTER Damaris Lalang; Mariam Lanmay
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 6 No 2 (2022): Januari
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v6i2.3447

Abstract

Prevention of the spread of the 2019 corona virus disease by vaccination has become a controversy in a long conversation on Twitter social media. One way to classify these conversations is to use fuzzy clustering means. Fuzzy clustering means is used to group data into several classes with a high degree of similarity, therefore in the study entitled "the application of the fuzzy clustering means method for trending data on corona vaccine cases on the Twitter social network" aims to apply fuzzy clustering means and determine the trending topic of vaccine cases corona. The data is taken and processed using the r studio program with documentation techniques. In the process of implementing the fuzzy clustering means, it was successfully applied by obtaining the optimal value for the validity of the fuzzy silhouette index x 0.520397533360261 and being able to classify the data in two clusters and display the words vaccine, covid and vaccination as the most talked about words in the case of corona virus disease 2019 on twitter.
Co-Authors Arista Marlince Tamonob D. Fatin Dewi Rosalina Alohaja Dewi S. Penpada Elisabeth Brielin Sinu Elisabeth Brielin Sinu Ena, Maktisen Isdarmayanti Jeni Marianti Loban Jumriati Kasim Jumriati Kasim Junindasari Djenlau Landerius Maro Mariam Lanmay Narita Yuri Adrianigsih Obe, Leonardus Frengky Siti N. Aini Sya'ban Vera Lakapeni Wehelmina T. Onmay