Study Analisis Metode Analisis Sentimen pada YouTube

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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“…The data classification method in the sentiment analysis had three approaches (Thomas, Yuliana, & Noviyanti, 2021):…”

Section: Methodsmentioning

confidence: 99%

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

Diana

Farida

2023

AGJSR

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“…Evaluation, the evaluation scheme is the stage in conducting a dataset review with pre-processing, which includes case folding (converting all letters to all lowercase letters), tokenizer (dividing sentences into words), elimination of stop words (removing words that often appear but have no meaning) and lemmatization (changing words into essential words), then classification and evaluation [26].…”

Section: Sentiment Analysismentioning

confidence: 99%

Sentiment Analysis of Cryptocurrency Trading Platform Service Quality on Playstore Data: A Case of Indodax

Kamrozi,

Achmad Nizar Hidayanto,

Krishna Yudhakusuma P.M.

et al. 2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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Indodax is one of the cryptocurrency trading platforms in Indonesia that has the highest sentiment for the quality they provide, good quality on a platform is an important factor in obtaining user satisfaction and will have an impact on the long-term success of a company. The importance of user satisfaction on cryptocurrency online trading platforms is a significant factor in increasing user loyalty in today's competition. This research was conducted to analyze the quality of existing cryptocurrency trading platform services so that they can be input for cryptocurrency trading service providers to improve the quality of their services, this information can also be considered by prospective platform users in choosing a trading platform that has the best quality of service to minimize losses that may be caused by the platform. In this study, sentiment analysis was used for indodax play store platform users and then processed using the lexicon classification method to produce sentiment analysis for each significant factor of service quality. From the results of the classification carried out in this study, the results of the analysis show that most users are satisfied and give positive sentiments related to security, namely 87.63%, positive sentiments related to the interface design 88.46%, positive sentiments related to service & convenience by 83%, but some users also gave a slightly positive sentiment related to administrative costs, namely 39%, and their negative sentiment was mostly related to the error & failure system, which received more than 80% sentiment. While the recall value is 38.07%, the precision is 56.69% and the f1-score is 45.55%. The results of this study can be concluded that there are still many important points that must be improved in quality by the indodax platform service providers so that they can be more attractive and used by everyone.

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“…Selama proses analisis sentimen dilakukan, terdapat 3 tingkatan analisis sentimen yang perlu diperhatikan, yaitu dokumen, kalimat, dan aspek [23]. Beberapa macam level sentimen analisis tersebut bertujuan untuk mengetahui sejumlah area positif, negatif, dan netral pada setiap analisis sentimen [24].…”

Section: Hasil Dan Pembahasanunclassified

Survey Paper tentang Analisis Sentimen

Walasary¹

2022

KONSTELASI

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Masyarakat pada zaman ini, mulai berkembang dengan Teknologi Internet. Teknologi internet merupakan kemajuan teknologi informasi yang sangat nyata dan berpengaruh besar dalam kehidupan sehari hari. Analisis Sentimen adalah salah satu teknologi internet yang berpengaruh dalam perkembangan teknologi internet dibidang social media. Analisis sentimen merupakan suatu Teknik pengekstrak data teks yang digunakan untuk memperoleh informasi. Terdapat beberapa tingkatan dalam Analisis Sentimen yang bertujuan untuk mengetahui positif dan negatif dalam penggunaan teknologi internet. Beberapa metode yang digunakan dalam melakukan analisis sentiment seperti Machine Learning dan Lexican Based Approach. Tujuan dari penelitian ini adalah diharapka dapat membantu masyarakat dalam menggunakan teknologi internet dengan baik dan efisien.

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Study Analisis Metode Analisis Sentimen pada YouTube

Cited by 5 publications

References 15 publications

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

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

Sentiment Analysis of Cryptocurrency Trading Platform Service Quality on Playstore Data: A Case of Indodax

Survey Paper tentang Analisis Sentimen

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