{% include 'header.html' %}
<!-- Begin Page Content -->
<div class="container-fluid">

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        <h1 class="h3 mb-0 text-gray-800">Tentang</h1>
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                    <h6 class="m-0 font-weight-bold text-primary text-center">Profil</h6>
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                <div class="card-body">
                    <img src="{{ url_for('static', filename='img/Logo POLIJE (Warna).png') }}"
                        class="img-fluid rounded mx-auto d-block" width="150px" alt="Responsive image">
                    <br>
                    <form>
                        <div class="form-group row">
                            <label for="staticEmail" class="col-sm-4 col-form-label">Nim</label>
                            <div class="col-sm-10">
                                <input type="text" readonly class="form-control-plaintext" id="staticEmail"
                                    value="E41200710">
                            </div>
                        </div>
                        <div class="form-group row">
                            <label for="staticEmail" class="col-sm-4 col-form-label">Nama</label>
                            <div class="col-sm-10">
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                                    value="Achmad Taufiq Hidayat">
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            <div class="card shadow mb-3">
                <div class="card-header py-3">
                    <h6 class="m-0 font-weight-bold text-primary">Ringkasan</h6>
                </div>
                <div class="card-body text-justify">


                    Social media serves as a platform for individuals to express themselves in response to widely
                    discussed topics. Each expression on social media undoubtedly represents an opinion that typically
                    cannot be channeled through conventional media such as newspapers or television. An example
                    highlighted in this research is the public opinion regarding the ratification of the health bill
                    into the Health Law on Tuesday, July 11, 2023, which contents are considered detrimental to
                    healthcare workers in Indonesia. The aspects of the Health Law that have become the focus and
                    controversy for some are the eased regulations for foreign doctors, concerns over the
                    criminalization of healthcare workers, mandatory spending, and the medical council being accountable
                    to the minister. The enactment of this Health Law has triggered responses and reactions from the
                    public on social media to participate and contribute their opinions. Some people believe that the
                    government's decision to ratify the law is good, while others think it is not beneficial for the
                    healthcare sector. Therefore, the author conducted research related to the sentiment analysis of the
                    public opinion on the ratification of the Health Law using the Naive Bayes method to determine
                    whether the majority of opinions are pro, contra, or neutral. In this study, the author collected
                    tweet data from social media X (Twitter) with a clean data yield of 1,182 entries. The obtained data
                    were then preprocessed and labeled. Subsequently, the data were weighted using TF-IDF calculations.
                    Based on the research results, with comparisons of 90:10, 80:20, 70:30, and 60:40, the highest
                    accuracy was achieved with a training and testing data ratio of 70:30, yielding an accuracy and
                    positive values for precision, recall, and F1-score of 58.87%, 57.53%, 98.45%, and 72.62%,
                    respectively.

                    Keywords: Classification, Sentiment Analysis, Health Law, Naive Bayes.
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<!-- /.container-fluid -->
{% include 'footer.html' %}