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All Journal Jurnal Algoritma Jurnal PkM MIFTEK Jurnal Algoritma
Nurfadillah, Rifa Sri
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Analisis Sentimen Pengguna Twitter dalam Pemilihan Presiden (PILPRES) 2024 dengan Menggunakan Algoritma K-Means Amin, Abdusy Syakur; Kurniadi, Dede; Nurzaman, Muhammad Zein; Nurfadillah, Rifa Sri; Khoerunisa, Sarah; Khaerunisa, Nisrina; Ajiz, Rafi Nurkholiq; Jembar, Tegar Hanafi; Faisal, Ridwan Nur
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1596

Abstract

One form of upholding democracy carried out by the Unitary State of the Republic of Indonesia is through holding presidential elections or often known as presidential elections. which is held every five years to elect the next President. Apart from that, in this digital era, people are increasingly actively using social media to convey their views, opinions and sentiments regarding the presidential election. Ahead of the 2024 presidential election, many groups such as political parties, success teams, buzzers and supporters are using social media as a campaign medium to increase the popularity and electability of their prospective candidates. One of the social media that is widely used in political party promotion media is Twitter. Which is used by people to post various comments that can be positive or negative regarding the election. Sometimes, people also express hoax opinions before or during the election. Considering that comments on Twitter are currently difficult to categorize as positive or negative, sentiment analysis is needed to understand public attitudes towards the presidential election. This research aims to evaluate text documents and determine whether the documents have a positive or negative sentiment orientation. Apart from that, the method used is K-Means to cluster the data. The results of this weighting are in the form of positive and negative sentiment. Data taken from Twitter regarding the 2024 presidential election (pilpres) totaling 1015 tweet data.
Analisis Sentimen Pengguna Twitter dalam Pemilihan Presiden (PILPRES) 2024 dengan Menggunakan Algoritma K-Means Amin, Abdusy Syakur; Kurniadi, Dede; Nurzaman, Muhammad Zein; Nurfadillah, Rifa Sri; Khoerunisa, Sarah; Khaerunisa, Nisrina; Ajiz, Rafi Nurkholiq; Jembar, Tegar Hanafi; Faisal, Ridwan Nur
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1596

Abstract

One form of upholding democracy carried out by the Unitary State of the Republic of Indonesia is through holding presidential elections or often known as presidential elections. which is held every five years to elect the next President. Apart from that, in this digital era, people are increasingly actively using social media to convey their views, opinions and sentiments regarding the presidential election. Ahead of the 2024 presidential election, many groups such as political parties, success teams, buzzers and supporters are using social media as a campaign medium to increase the popularity and electability of their prospective candidates. One of the social media that is widely used in political party promotion media is Twitter. Which is used by people to post various comments that can be positive or negative regarding the election. Sometimes, people also express hoax opinions before or during the election. Considering that comments on Twitter are currently difficult to categorize as positive or negative, sentiment analysis is needed to understand public attitudes towards the presidential election. This research aims to evaluate text documents and determine whether the documents have a positive or negative sentiment orientation. Apart from that, the method used is K-Means to cluster the data. The results of this weighting are in the form of positive and negative sentiment. Data taken from Twitter regarding the 2024 presidential election (pilpres) totaling 1015 tweet data.
Meningkatkan Strategi Pemasaran di Desa Sindangprabu Purnamasari, Ismi; Nurfadillah, Rifa Sri; Hamidah, Sabrina; Oktavia, Yayu; Fajar, Hanafi Arya; Muttaqin, Dadan Ahmad Badar; Maulidiyana, Maya; Ulumudin, Jamil; Nurani, Pelita Maulida; Taufik, Risman; Akihari, Bobby Dwitama Eden; Fazri, Muhammad Insan Kamil; Agriyanto, Ari; Zulkarnaen, Ade Iskandar; Latif, Abdul; Najib, Rafi; Fauzi, Khasbi Aqsal; Nurhayati, Mila; Agistina, Aini; Prasetya, Yoga Budi; Alamsyah, Restu
Jurnal PkM MIFTEK Vol 4 No 1 (2023): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.4-1.1318

Abstract

The development of the business in Sindang Prabu Village really encourages us to deepen more on how to improve the marketing strategy of businesses owned by local residents in the neighborhood. The Sindang Prabu village area has many resources that can be used to improve small businesses, especially in marketing. The purpose of this research itself is to explain how a good marketing strategy can increase the level of sales of products owned by entrepreneurs. The method used in this research is qualitative method. The sample used in this study is a micro business owned by local residents. The functions and materials used in this research study are intended to find out how to do or a good marketing strategy in order to increase sales of micro-entrepreneurs' products. The results of the analysis from conducting a survey directly show that the lack of promotion carried out by business owners makes the marketing value unsatisfactory of the product and also the constraints on the lack of auxiliary tools such as machines in the production process become a significant influence in the marketing process carried out by business owners , it can be seen that promotions and also tools in the production process can be the right solution in increasing the marketing of products owned by these micro entrepreneurs.
Co-Authors Abdul Latif Abdusy Syakur Amin Agistina, Aini Agriyanto, Ari Ajiz, Rafi Nurkholiq Akihari, Bobby Dwitama Eden Alamsyah, Restu Dede Kurniadi Faisal, Ridwan Nur Fajar, Hanafi Arya Fauzi, Khasbi Aqsal Fazri, Muhammad Insan Kamil Hamidah, Sabrina Jembar, Tegar Hanafi Khaerunisa, Nisrina Khoerunisa, Sarah Maulidiyana, Maya Muttaqin, Dadan Ahmad Badar Najib, Rafi Nurani, Pelita Maulida Nurhayati, Mila Nurzaman, Muhammad Zein Oktavia, Yayu Prasetya, Yoga Budi Purnamasari, Ismi Taufik, Risman Ulumudin, Jamil Zulkarnaen, Ade Iskandar