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Journal : Jurnal Mantik

Prediction Of Election Participant With Malang City Demographic Data Using The K-Nn Algorithm Nurtia Suryani; Arif Senja Fitrani
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2802

Abstract

Election (General Election) is a step to choose and determine the figure of a leader. In general election activities, the higher the level of political participation indicates that the people understand the importance of democracy. On the other hand, if the level of participation is low, the people are less concerned about state problems. From the 2019 election activities in Malang City, the next step is connecting with demographic data sourced from the Central Statistics Agency (BPS). The demographic data includes aspects of Energy, Geographic, Education, Health, Population, Economy, Communication, Transportation, and Expedition, which are then integrated with election data. In the 2019 Presidential Election, the number of DPT (Permanent Voters List) was 623,185, while the number of citizens who exercised their right to vote was only 488,587. This study will look at the relationship of demographic data to public participation in implementing elections. Using the classification method for prediction with high and low label classes on the form of community participation at the polling station (TPS) level. In the preprocessing stage, the dataset model is determined by testing three types of normalization methods, then implemented in the K-Nearest Neighbor (K-NN) algorithm. From the test results, the highest level of accuracy obtained in predicting voter participation is 61.83%, and the F-1 score is 61.46%, with the Min Max normalization model occupying the best results.
Demographic Attribute Selection Model For Prediction Of Election Participation Using Decision Tree Linda Kushernawati; Arif Senja Fitrani; Metatia Intan Mauliana
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2848

Abstract

Implementing a democratic general election is expected to produce people's representatives who can channel the people's aspirations. Demographic data is information that discusses a group of people with several related attributes and involves many factors. In this study, we will relate the relationship between the implementation of elections and the condition of demographic data with a benchmark for the form of public participation in the election. By utilizing 2019 election data and Bangkalan Regency demographic data from the Central Statistics Agency (BPS), it is expected to determine the relationship between the two conditions of the dataset on the form of public participation at the polling station (TPS) level. By starting with the Preprocessing step, it implement a classification method with the Decision Tree (DT) algorithm to predict community presence at the polling station level. There are three versions of the dataset that will be used in modeling, namely initial data that has not been selected for attributes (version 1), data that has been chosen using correlation-based attribute selection (version 2), and data that has been selected using chi-square attributes ( version 3). The results show version 1 with a prediction of 81%, followed by version 2 with a prediction of 81%, and the last is version 3 with a prediction of 70%. The detachment model's formation with the selection attribute has a different impact, and the relationship between the election dataset and demographics has a significant effect, as indicated by the prediction results of version 2.
Co-Authors Abidin, Husnul Ade Eviyanti Aditya Wira Utama Agusetiana, Ervina Agustin, Erlina Ahmi Arifuadi Aljunza, Marshal Sheva Anggraeni, Anifah Warda ARDIANSYAH ARDIANSYAH Astutik, Ika Ratna Indra Azhari, RR. Debby Amalia Bimantoro, Riky Andreansyah Busono, Suhendro Cahyani, Ravica Eka Damara, Rivaldi Garindra Denny Hartanto Dewi Eka Safitri Dhani, Bayu Rama Dona Ardiansyah Eriyanto, Sandi Eko Eviyanti , Ade Fajar Suryansyah Fajrillah, Fajrillah Faqih, Ahmad Abdullah Fitriyanto, Ade Habibur Rahman Arjuni Hadi, Miftakhul Hartanto, Denny Hindarto Irwan Alnarus Kautsar Jagad Yudha Awali Lia Iftitah Linda Kushernawati Lukman Harun Iskandar M. Arsyil Adhi’im M. Purnomo Adji Saputro Mauliana, Metatia Intan Mochamad Alfan Rosid Mochamad Rifqi Aminudin Muhammad Assegaf Ba'alwi Muhammad Fadil Santoso muhammad Hendra Oktaviano Muhammad Muzayyin Muhammad, Khithoh Sabda Naufal Galfan Syah Nikko Enggaliano Pratama Nurdyansyah Nursapdahi, Nursapdahi Nurtia Suryani Pandi Rais Prasetyo, Heri Rahmi Aulia Barlian Rais, Pandi Refinda, Achmad Ainun Gusti Rohman Dijaya Rozi, Hervy Qurrotul Ainur RR. Debby Amalia Azhari Safitri, Dewi Eka Satria Hidayahtullah Setiawan, Hamzah Shiddiq, Zulfian Syahril Silvie Nur Millah Sukma Aji Sumarno Sumarno Suprianto Syafaat, Dany Syah, Naufal Galfan Syahrorini, Syamsudduha Taurusta, Cindy Uce Indahyanti Umi Khoirun Nisak Wahidiyah Kurniawati Wahyu Setia Bintara Wahyu, Muhamamad Wirda Novarika Yulian Findawati Yusuf Raharja Yuwanto, Mahmud Adi Zahputra, Aldy Trisza