Angeline, Grace
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A roadmap for the successful use of social media in electoral campaigns Pratama, Awanda S. S.; Danan, Elloy Y. M. S.; Angeline, Grace; Abdillah, Irfan Z.; Prayoga, Jevin A.; Jabari, Nedal A. M.
Bulletin of Social Informatics Theory and Application Vol. 5 No. 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i1.430

Abstract

Over the last few years, social media has become important for many people and can affect many aspects of life. In terms of politics, social media can help candidates and political parties do their political campaign. The use of social media in politics and during political campaigns has become a vital part for every political party and candidate. This paper describes the current social media and its characteristics, how campaigns were conducted in the past and how modern campaign activities were conducted. Case studies from several countries regarding how political campaigns were carried out are also written in this paper. The authors explore the factors available in social media that can affect and change the political process and campaign. Strong and weak factors of using social media in electoral campaigns are also discussed in this paper. This paper further addresses the author's point of view about how candidates should use social media during elections.
KLASIFIKASI DIALEK BAHASA JAWA MENGGUNAKAN METODE NAIVES BAYES Angeline, Grace; Wibawa, Aji Prasetya; Pujianto, Utomo
Jurnal Mnemonic Vol 5 No 2 (2022): Mnemonic Vol. 5 No. 2
Publisher : Teknik Informatika, Institut Teknologi Nasional malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/mnemonic.v5i2.4748

Abstract

Pulau Jawa merupakan pulau terpadat di Indonesia dan memiliki keragaman dialek yang tinggi. Berdasarkan peta bahasa yang dikeluarkan oleh KEMDIKBUD, Pulau Jawa memiliki 12 dialek utama yang tersebar di Jawa Timur, Jawa Barat dan Jawa Tengah. Dari hasil survei yang telah dilakukan, dialek yang digunakan sebagai dataset hanya dibatasi menjadi 3 dialek terpopuler dari setiap provinsi yaitu Dialek Cirebon, Dialek Tegal dan Dialek Jawa Timur. Penyediaan data dilakukan dengan metode studi literatur yang bersumber dari buku dan dokumen tertulis yang tersedia di internet. Data akan diolah dan dianalisis menggunakan algoritma Multinomial Naives Bayes karena cepat dalam proses perhitungan, sederhana dan memiliki akurasi yang tinggi. Algoritma akan diuji menggunakan K-fold Cross Validation untuk mengetahui performa algoritma Multinomial Naives Bayes dalam melakukan klasifikasi dialek di Pulau Jawa. Metode Synthetic Minority Over-Sampling Technique (SMOTE) juga digunakan dalam penelitian ini untuk mengetahui pengaruh teknik oversampling terhadap performa algoritma. Dari penelitian in dihasilkan performa terbaik dengan akurasi sebesar 96,97%, presisi sebesar 97,53% dan recall sebesar 96,83%.