Sentiment Analysis on Twitter of PSBB Effect Using Machine Learning

Saputra, Irwansyah; Halomoan, Jose Andrean; Raharjo, Adam Bagusmugi; Syavira, Cyra Rezky Ananda

doi:10.33480/techno.v17i2.1635

Cited by 3 publications

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“…Oleh karena itu, perlu menganalisis sentimen di Twitter tentang PSBB. (Saputra et al, 2020) Analisis Sentimen merupakan perpaduan dari data mining dan text mining, atau sebuah cara yang digunakan untuk mengolah berbagai opini yang diberikan oleh konsumen atau para pakar melalui berbagai media, mengenai sebuah produk, jasa ataupun sebuah instansi. (Romadloni, Santoso and Budilaksono, 2019) Dengan demikian data mining dapat digunakan sebagai analisis sentimen karena dapat mengolah data tweet dalam jumlah besar mengunakan Algoritma Decision Tree.…”

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Analisa Tanggapan Terhadap Psbb Di Indonesia Dengan Algoritma Decision Tree Pada Twitter

2021

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Community opinions are sometimes difficult to convey to the person in charge directly, it encourages people to express their opinions, criticisms and the like through social media, one of which is the popular social media today is Twitter. One collection of opinions or tweets from Twitter users about the PSBB effect one of which can be used as an analysis of public opinion sentiments. Data on the effects of PSBB were obtained as many as 2439 tweets, then processed using data mining techniques (data mining), in which there are processes of Collecting Data, text preprocessing and classification. Then it is tested into three different algorithms to be compared, the algorithm used is Decision Tree, Naïve Bayes Classifier and K-Nearest Neighbors (K-NN ) with the aim of finding the best accuracy. The highest results from this study were the Decision Tree algorithm with an accuracy value of 84.78%, precision 84.78% and recall 100%. Keywords: twitter, sentiment analysis, decision tree

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Analisa Tanggapan Terhadap Psbb Di Indonesia Dengan Algoritma Decision Tree Pada Twitter

2021

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Applying bag of words approach to determine remote sensing technology acceptance among smallholder plantations

Diana

Farida

2023

AGJSR

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PurposeTechnology acceptance is a measure of that technology’s usefulness. Oil palm is one of the biggest contributors to Indonesia’s revenues, thus fueling its economy. Using remote sensing would allow a plantation to monitor and forecast its production and the amount of fertilizer used. This review aims to provide a policy recommendation in the form of a strategy to improve the added value of Indonesia’s oil palm and support the government in increasing oil palm production. This recommendation needs to be formulated by determining the users’ acceptance of remote sensing technology (state-owned plantations, private plantation companies and smallholder plantations).Design/methodology/approachThis review’s methodology used sentiment analysis through text mining (bag of words model). The study’s primary data were from focus group discussions (FGDs), questionnaires, observations on participants, audio-visual documentation and focused discussions based on group category. The results of interviews and FGDs were transcribed into text and analyzed to 1) find words that can represent the content of the document; 2) classify and determine the frequency (word cloud); and finally 3) analyze the sentiment.FindingsThe result showed that private plantation companies and state-owned plantations had extremely high positive sentiments toward using remote sensing in their oil palm plantations, whereas smallholders had a 60% resistance. However, there is still a possibility for this technology’s adoption by smallholders, provided it is free and easily applied.Research limitations/implicationsBasically, technology is applied to make work easier. However, not everyone is tech-savvy, especially the older generations. One dimension of technology acceptance is user/customer retention. New technology would not be immediately accepted, but there would be user perceptions about its uses and ease. At first, people might be reluctant to accept a new technology due to the perception that it is useless and difficult. Technology acceptance is the gauge of how useful technology is in making work easier compared to conventional ways.Practical implicationsTherefore, technology acceptance needs to be improved among smallholders by intensively socializing the policies, and through dissemination and dedication by academics and the government.Social implicationsThe social implications of using technology are reducing the workforce, but the company will be more profitable and efficient.Originality/valueRemote sensing is one of the topics that people have not taken up in a large way, especially sentiment analysis. Acceptance of technology that utilizes remote sensing for plantations is very useful and efficient. In the end, company profits can be allocated more toward empowering the community and the environment.

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