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Akademický článek

Sentiment Analysis of Sirekap Application Review Using Logistic Regression Algorithm

Autor: Audi Hagi, Dionisia Bhisetya Rarasati

Publikováno v: Jurnal Informatika, Vol 11, Iss 2, Pp 55-64 (2024)

General Elections (Pemilu) is one of the crucial moments in democracy to elect representatives of the people. The General Elections Commission (KPU) launched the Sirekap application as an aid in the election process. This application allows polling s

Externí odkaz: https://doaj.org/article/e19113fdafe44b078f7aaa46f2184414

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Akademický článek

Analisis Kebijakan Sistem Rekapitulasi pada Pemilihan Kepala Daerah dan Wakil Kepala Daerah Serentak Tahun 2020 di Indonesia

Autor: Arifin Al Alamudi, Tonny P. Situmorang, Indra Fauzan

Publikováno v: Perspektif: Jurnal Ilmu-ilmu Sosial, Vol 13, Iss 3, Pp 882-890 (2024)

The 2020 Simultaneous Regional Head Election (Pilkada Serentak) in Indonesia was a landmark moment with the introduction of the Recapitulation Information System (Sirekap) by the General Election Commission (KPU). Despite facing challenges such as co

Externí odkaz: https://doaj.org/article/6ae469f292314f1e83625a63bc920c93

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Akademický článek

Sentiment Analysis of Sirekap Application Users Using the Support Vector Machine Algorithm

Autor: Joko Setyanto, Theopilus Bayu Sasongko

Publikováno v: Journal of Applied Informatics and Computing, Vol 8, Iss 1, Pp 71-76 (2024)

In the current era of digitalization, various activities are conducted using technology to aid their execution, including the democratic process scheduled for February 2024. The Komisi Pemilihan Umum (KPU) is utilizing a mobile-based application call

Externí odkaz: https://doaj.org/article/08e18967bb4d468d81bcf4fc4809630d

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Akademický článek

Sentiment Analysis of Sirekap Tweets Using CNN Algorithm

Autor: Handoko Handoko, Ahmad Asrofiq, Junadhi Junadhi, Ari Sukma Negara

Publikováno v: Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, Vol 8, Iss 2 (2024)

Background: The research investigates the application of deep learning models for sentiment analysis on Twitter data related to Indonesia's Sirekap system. Sentiment analysis is crucial for understanding public opinion and enhancing the transparency

Externí odkaz: https://doaj.org/article/b2c860d833b24f6884c84e89c6414ede

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Akademický článek

Digital dilemma: technology in the vote counting process for general elections and local head elections in Indonesia

Autor: Muhammad Habibi, Alam Mahadika, Widia Astuti

Publikováno v: Otoritas: Jurnal Ilmu Pemerintahan, Vol 13, Iss 3, Pp 377-389 (2023)

The traditional methods of vote counting and recapitulation, which include manual and layered processes, are important to ensuring data security and addressing a lack of understanding of public information technology. However, it is essential to quic

Externí odkaz: https://doaj.org/article/d363d19d2aab45eda6c9e6ae79d92cb9

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