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All Journal Journal of Soft Computing Exploration Journal of Social Empowerment
Ilham Esa Tiffani
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Transportation Other

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Optimization of Naïve Bayes Classifier By Implemented Unigram, Bigram, Trigram for Sentiment Analysis of Hotel Review Ilham Esa Tiffani
Journal of Soft Computing Exploration Vol. 1 No. 1 (2020): September 2020
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v1i1.4

Abstract

The information needed in its development requires that proper analysis can provide support in making decisions. Sentiment analysis is a data processing technique that can be completed properly. To make it easy to classify hotels based on sentiment analysis using the Naїve Bayes Classifier algorithm. As a classification tool, Naїve Bayes Classifier is considered efficient and simple. In this study consists of 3 stages of sentiment analysis process. The first stage is text pre-processing which consists of transform case, stopword removal, and stemming. The second stage is the implementation of N-Gram features, namely Unigram, Bigram, Trigram. The N-Gram feature is a feature that contains a collection of words that will be referred to in the next process. Next, the last click is the hotel review classification process using Na menggunakanve Bayes Classifier. OpinRank Hotels Review dataset on Naїve Bayes Classifier using N-Gram namely Unigram, Bigram, Trigram with research results that show Unigram can provide better test results than Bigram and Trigram with an average accuracy of 81.30%.
Pelatihan Pemanfaatan Limbah Rumah Tangga untuk Penanaman Sayuran dan Mikroorganisme Lokal (Mol) sebagai Ketahanan Pangan Keluarga Rini, Aditya; Anis Widyastuti; Devi Laely Wahyu Utami; Eryna Yulianaristin; Ilham Esa Tiffani; Mala Mazida; Nofia Sholihatuzzahroh; Rida Khoirin Nisa; Siti Ita Rahmawati; Vika Lailatul Izzah; Agnita Siska Pramasdyahsari
Journal of Social Empowerment Vol. 9 No. 1 (2024): Journal of Social Empowerment
Publisher : LPPM STKIP PGRI Pacitan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21137/JSE.2024.9.1.2

Abstract

The aim of this community service is to encourage people to use household waste to plant vegetables and local microorganisms for food security for families and communities and to make planting media in the form of pots. The method of service is the community service method. The approach to implementing this service is asset or resource-based community empowerment. Data collection techniques use documentation, questionnaires and focus group discussions. Data analysis in this service is qualitative descriptive data analysis. The result of this service is that activities are carried out in three stages, namely the first is socialization related to the use of unused materials to make something useful, namely socialization on the manufacture and use of local microorganisms and making pots, the second is training in making and the third is monitoring and also evaluation. The activity was carried out by making planting media in the form of pots with gallons and used aqua bottles, then continuing with making fertilizer using stale rice, namely local microorganisms (MOL), then continuing with planting vegetables.
Co-Authors Agnita Siska Pramasdyahsari Anis Widyastuti Devi Laely Wahyu Utami Eryna Yulianaristin Mala Mazida Nofia Sholihatuzzahroh Rida Khoirin Nisa Rini, Aditya Siti Ita Rahmawati Vika Lailatul Izzah