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Handayani, Vitri Aprilla
Department Of Mathematics, Faculty Of Information Technology, Institut Teknologi Batam
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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

 1 
Penerapan Aplikasi Uji Hipotesis (One-Tail Dan Two-Tail) pada Data Simulasi Vitri Aprilla Handayani; Luki Hernando
Computer Science and Information Technology Vol 3 No 2 (2022): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v3i2.3869

Abstract

Technological developments are now growing rapidly in various layers of science such as in the development of science which has made many changes to the system towards a digital system in solving problems. The use of digital technology in the learning process is considered to increase the learning interest and motivation, the quality of the learning process, and learning outcomes. The younger generation is currently using more of a digital mindset by utilizing increasingly developing technology. Mathematics is one of the basic sciences that always developed to the demands of human needs for technological developments. Mathematics was born because of the human desire to systematize life experiences, organize them, and make them easy to understand, to be able to predict and if possible be able to control events that will occur in the future (forecasting). Problems in mathematics are often considered difficult by the younger generation, for that research will examine the application of desktop-based applications that can solve mathematical problems easily in a shorter time. The application that was built was applied to the One-Tail and Two-Tail hypothesis testing problems on the simulation data.
Penerapan data mining dalam analisa profil mahasiswa menggunakan metode support vector machines (SVM) Luki Hernando; Vitri Aprilla Handayani; Deosa Putra Caniago; Nadia Widari Nasution
Computer Science and Information Technology Vol 4 No 2 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i2.5107

Abstract

decision making. The Support Vector Machine algorithm is a method in supervised learning which is usually used for classifications such as Support Vector Classification and support Vector Regression regression. In this study the SVM algorithm was used in the classification of student data profiles at the Batam Institute of Technology, which can be used as material for consideration in determining and considering decisions to make an effective destination strategy promotion.
Co-Authors A'rsyil Majiid Ahmad Andrevi Alrasyidin Alhamidi, Alhamidi Arsyil Majiid Bulan Purnama Utami Caniago, Deosa Putra Eko Sulistyono Sulistyono Endang Hidayati Farda Auwalia Farit Mochamad Afendi Fiqri Ardi Azhari Garry Rusmadi Genadi Septiansyah Hazimah, Hazimah Hernando, Luki Herpina Okti Huiliana Tarsila Jeremy Andika Jossa Parero Kevin Mulyono Mulyono Nabila Azzahra Nadia Sabrina Nadia Widari Nasution Phila Angelina Rahayu Saputri Rahma Sarita Rani Gusrita Sadiq Ardo Wibowo Sari Rahmiati Sunarsono, Hery Tiama Tinggal Turinah Widya Reza Wisnu Ananta Kusuma