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All Journal JURNAL ELEKTRO Seminar Nasional Informatika (SEMNASIF) Jurnal Ilmiah KOMPUTASI Jurnal Informatika Universitas Pamulang J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Muara Ilmu Sosial, Humaniora, dan Seni Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics JIIP (Jurnal Ilmiah Ilmu Pendidikan) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan dan Teknologi Indonesia International Journal of Robotics and Control Systems KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science
Julius Bata
Universitas Katolik Indonesia Atma Jaya, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : JURNAL ELEKTRO

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#AkuGalau: Korpus Bahasa Indonesia untuk Deteksi Emosi dari Teks Julius Bata
Jurnal Elektro Vol 12 No 2 (2019): Oktober 2019
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.608 KB)

Abstract

Detection of emotions from text is a problem of text classification based on the type of emotion. The availability of an emotional corpus plays an essential role in the detection of emotions. However, most corpus for emotional detection is available in English. This condition is a major problem when developing a system for detecting emotions from Indonesian texts. The emotional text corpus for Indonesian is very limited. Therefore, this research focuses on the development of Indonesian text emotional corpus. The development of such a corpus is the first step in the study of detecting emotions from the Indonesian text. The data source used to develop the corpus is a tweet. The annotation process is done automatically based on the hashtag (#) of emotions contained in a tweet with five types of emotions: happy, sad, angry, afraid, and love. This research produced an Indonesian emotional text corpus consisting of 500 complete tweets with emotional labels at the superordinate and basic levels. Emotion detection experiments were conducted to test the corpus using the Naive Bayes method. The accuracy of the experiments reached 82%, these results indicate that the corpus can be used in text emotion detection.
Pengembangan Media Interaktif Pada Materi Peredaran Darah Menggunakan Metode ADDIE Charmelita, Pauelina; Bata, Julius; W Pandjaitan, MM Lanny
Jurnal Elektro Vol 15 No 2 (2022): Vol.15 No.2 Oktober 2022: Jurnal Elektro
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v15i2.5114

Abstract

The subject of Natural Sciences plays a crucial role in Elementary School Education. One of the topics covered in elementary school Natural Sciences is the circulatory system. The topic of the circulatory system in Natural Sciences can be studied extensively, particularly focusing on the closed or double circulatory system. The circulatory system is one of the challenging topics for elementary school students to understand and absorb, especially in Grade V. Some elementary school students may also struggle to comprehend the structure of the circulatory system in humans, particularly the cardiovascular system from the top or bottom. There are many tools that assist students in learning a particular subject. One useful tool for learning Natural Sciences is interactive media. This research involves the development of interactive media using the ADDIE method (Analysis, Design, Development, Implementation, and Evaluation). This paper explains the ongoing development process.
Co-Authors Airlangga, Gregorius Alamsyah - Anggipranoto, Eusebius Vercelli Brian Antonio, Marcel Charmelita, Pauelina Clara Ika Sari Budhayanti Denny Jean Cross Sihombing Denny Jean Cross Sihombing Dominikus Jarvis Dominikus Jarvis Dominikus Vieri Tegar Linestyo Henoch Juli Christanto Jarvis, Dominikus Laura Imanuelle Defira Makin, See Jong Maria Angela Kartawidjaja Melisa Mulyadi Nugroho, Oskar Ika Adi Pijar Karisma Prihanto Pranowo Pranowo Prasetyaningrum, Putri Taqwa Pujo Hari Saputro Salvator Sewi Sangi Stephen Aprius Sutresno, Stephen Aprius Sugianto, Lai Ferry Sutanto, Daniel Denis Suyoto Suyoto Theresia Ghozali W Pandjaitan, MM Lanny Wijayanti, Linda