Abstract:Abstract: There are a great number of academics that are now conducting research on sentiment analysis by employing supervised and machine learning techniques. The research can be carried out with the assistance of a variety…
iety of sources, including reviews of movies, reviews of Twitter, reviews of online products, blogs, discussion forums, and other social networks. With the progress of technology, individuals may now effortlessly utilize social media platforms to access and share information, as well as express their viewpoints to the general public, without any constraints of distance or time. Twitter is a social media network that serves as a repository for opinions. Diverse techniques are employed to provide optimal and realistically precise pressure detection. The analysis and discussion affirm that the Support Vector Machine (SVM) was effectively employed in this study, utilizing public opinion data on television program reviews in Indonesia. An SVM classifier is employed to examine the Twitter data set by utilizing various parameters. The study successfully completed the preprocessing process by collecting a total of 400 data points, consisting of 320 reviews from 4 television shows for training data and 80 reviews for testing. The data was filtered and classified using SVM, with 200 positive and 200 negative data points for comparison. The experiment utilized the SVM method using TF-IDF to achieve the most accurate test results. The test accuracy was 80%, while the training data accuracy reached 100%.
Keywords: Sentiment Analysis; Support Vector Machine; Television Shows Review, TF-IDF,
Abstrak: Saat ini, banyak akademisi sedang menyelidiki analisis sentimen melalui pemanfaatan teknik yang diawasi dan pembelajaran mesin. Kajian dapat dilakukan dengan menggunakan beberapa sumber seperti review film, review Twitter, review produk online, blog, forum diskusi, atau jejaring sosial lainnya. Dengan kemajuan teknologi, masyarakat kini dapat dengan mudah memanfaatkan platform media sosial untuk mengakses dan berbagi informasi, serta menyampaikan pandangan mereka kepada masyarakat umum, tanpa batasan jarak dan waktu. Twitter adalah jaringan media sosial yang berfungsi sebagai gudang opini. Beragam teknik digunakan untuk menghasilkan deteksi tekanan yang optimal dan presisi secara realistis. Analisis dan pembahasan menegaskan bahwa Support Vector Machine (SVM) efektif digunakan dalam penelitian ini, memanfaatkan data opini publik tentang review program televisi di Indonesia. Pengklasifikasi SVM digunakan untuk memeriksa kumpulan data Twitter dengan memanfaatkan berbagai parameter. Penelitian berhasil menyelesaikan proses preprocessing dengan mengumpulkan total 400 titik data yang terdiri dari 320 review dari 4 acara televisi untuk data pelatihan dan 80 review untuk pengujian. Data disaring dan diklasifikasikan menggunakan SVM, dengan 200 titik data positif dan 200 titik data negatif sebagai perbandingan. Percobaan ini menggunakan metode SVM dengan menggunakan TF-IDF untuk mencapai hasil pengujian yang paling akurat. Akurasi pengujiannya mencapai 80%, sedangkan akurasi data pelatihan mencapai 100%.
Kata kunci: Analisis Sentimen, Review Tayangan Televisi, TF-IDF, Support Vector Machine
Abstract:Abstract: Stunting is one of the nutritional problems that the world pays the most attention to and a major nutritional problem in Indonesia. Stunting is a problem in toddler growth which is characterized by a toddler's…
height that is too short compared to toddlers of his age. In the research location, namely Asahan Regency, the mapping of areas prone to increased stunting rates has not been carried out optimally. The process of exploring the stunting data warehouse is useful for adding information that can assist the government in making policies. Therefore, the aim of this research is to map stunting-prone areas in Asahan district based on the number of stunting cases in Asahan district using the machine learning-based K-Means clustering model. Based on previous research reviews, the k-means clustering method used has not used the normalization process. In addition, distance measurement only uses Euclidean Distance. Meanwhile, in this research, clustering performance analysis was carried out using a more in-depth process, namely by applying data normalization at the beginning, using the elbow method to determine the best number of clusters (K), measuring distance using Euclidean Distance, Manhattan Distance and Minkowski Distance to obtain comparison results. better clusters. The analysis results show that the best number of clusters is cluster 2 which shows the mapping results into 2 groups with a DBI of 0.51290 and a silhouette_score of 0.71432.
Keywords: stunting; k-means clustering; machine learning
Abstrak: Stunting menjadi salah satu permasalahan gizi yang paling diperhatikan dunia dan permasalahan gizi yang utama di Indonesia. Stunting merupakan masalah pada pertumbuhan balita yang ditandai dengan tinggi badan balita yang terlalu pendek dibanding balita seusianya. Pada lokasi penelitian yaitu Kabupaten Asahan, pemetaan daerah rawan peningkatan angka stunting belum dilakukan dengan optimal. Proses eksplorasi gudang data stunting ini berguna untuk menambah informasi yang dapat membantu pemerintah dalam mengambil kebijakan. Maka dari itu, tujuan dari penelitian ini adalah pemetaan daerah rawan stunting di kabupaten Asahan berdasarkan jumlah kasus stunting di Kabupaten Asahan menggunakan model clustering metode K-Means berbasis machine learning. Berdasarkan tinjauan penelitian terdahulu, metode k-means clustering yang digunakan belum menggunakan proses normalisasi. Selain itu, pengukuran jarak hanya menggunakan Euclidean Distance. Sedangkan dalam penelitian ini, analisis kinerja clustering yang dilakukan dengan proses yang lebih mendalam yaitu dengan penerapan normalisasi data di awal, penggunaan elbow method untuk penentuan jumlah cluster (K) terbaik, pengukuran jarak dengan Euclidean Distance, Manhattan Distance dan Minkowski Distance untuk mendapatkan hasil perbandingan cluster yang lebih baik. Hasil analisis menunjukkan bahwa jumlah cluster terbaik yaitu cluster 2 yang menunjukkan hasil pemetaan menjadi 2 kelompok dengan DBI 0.51290 dan silhouette_score sebesar 0.71432.
Kata kunci: stunting; k-means clustering; machine learning
Abstract:Abstract: The JKN Mobile application is a mobile application created to facilitate healthcare administration in Indonesia since 2017. The application has been downloaded by over 10 million users and has received 484,000…
diverse reviews, including positive, negative, and neutral feedback. The average rating given by users is 4.5 out of 5 stars. This research aims to perform sentiment analysis on user reviews found in the Google Play Store review column. The methods used for sentiment analysis are Naive Bayes, K-Nearest Neighbor (K-NN), and Support Vector Machine (SVM). The test results show that with a 10% test data and 90% training data proportion, the SVM method achieves the highest accuracy of 95%. Naive Bayes follows with an accuracy of 87%, and K-NN with an accuracy of 75%.
Keywords: JKN mobile application, sentiment analysis, naive bayes, k-nearest neighbor (K-NN), support vector machine (SVM).
Abstrak: Aplikasi Mobile JKN adalah sebuah aplikasi yang dibuat untuk mempermudah administrasi kesehatan di Indonesia sejak tahun 2017. Aplikasi ini telah diunduh lebih dari 10 juta pengguna dengan 484 ribu ulasan beragam positif, negatif, dan netral. Rata-rata rating yang diberikan pengguna adalah 4,5 bintang dari 5 bintang. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap ulasan pengguna yang terdapat di kolom review Google Play Store. Metode yang digunakan untuk analisis sentimen adalah Naive Bayes, K-Nearest Neighbor (K-NN), dan Support Vector Machine (SVM). Hasil pengujian menunjukkan bahwa dengan menggunakan proporsi data uji sebesar 10% dan data training sebesar 90%, metode SVM mencapai akurasi tertinggi sebesar 95%. Diikuti oleh Naive Bayes dengan akurasi 87%, dan K-NN dengan akurasi 75%.
Kata kunci: JKN mobile, analisis sentimen, naïve bayes, k-nearest neighbor (K-NN), support vector machine (SVM).
Abstract:This research aims to explore the role of the Deposit Insurance Corporation (LPS) in protecting customers when banks fail. The research methods used include policy analysis, case studies of failed banks, and reviews of related…
elated laws. It is hoped that the research results will provide a deeper understanding of the effectiveness of the legal protection provided by LPS to customers in the context of bank failures and the related compensation claims process. The Deposit Insurance Corporation (LPS) has a crucial role in protecting customer deposits when banks experience liquidation. In this context, LPS functions as a legal protection strategy for customer deposits held in banks. This action is important to maintain public confidence in banking amidst economic uncertainty. In response to the 1998 monetary crisis, the Indonesian government issued a policy of guaranteeing bank payments, including public deposits, through LPS. The importance of LPS is revealed when banks experience failures that have the potential to threaten the security of customer funds. In this situation, LPS guarantees the customer's refund up to a certain limit, providing the necessary financial protection. This creates a sense of security for customers and promotes banking system stability. With LPS, customers can be assured that their funds are safe even if unexpected events occur in the banking world. The role of LPS as a deposit insurance institution is inherent in the government's efforts to regulate and supervise the financial sector. LPS plays a role as the front guard in protecting customer interests, maintaining financial system stability, and preventing potential losses that could arise due to the possibility of bank failure.
Abstract:This research aims to examine changes in consumer attitudes and purchasing power in the Indonesian market after the pandemic, with a focus on the impact of restrictions on online sales via social media. The COVID-19 pandemic…
emic has significantly changed consumer behavior, triggering a shift from conventional transactions to online platforms. However, online sales restrictions implemented by the Indonesian government raise questions about how consumers will respond and adapt to these changes. This research uses qualitative research methods, namely by describing systematically by conducting literature reviews about post-pandemic consumer behavior, and the impact of social media on purchasing decisions, surveys or questionnaires, and in-depth interviews with consumers to understand attitudes, and their experiences regarding online shopping on social media during the post-pandemic period. The research results reveal that restrictions on online sales via social media influence consumers' attitudes towards online shopping, forcing them to look for other alternatives or change purchasing preferences. Apart from that, these restrictions also have an impact on consumer purchasing power and consumption patterns. This analysis describes post-pandemic market dynamics in Indonesia, where e-commerce companies and business people have to adapt to changes in consumer behavior. Policy implications for the government and marketing strategies for business people are also discussed in the research providing an in-depth look at how to optimize market potential in Indonesia. amid restrictions on online sales. This research aids in comprehending the ongoing alterations in the Indonesian consumer market post-pandemic, thereby guiding government, companies, and other business entities in decision-making processes.
Abstract:This research aims to analyze the implementation of the use of portfolio assessment in learning to write at the vocational school level in Bogor district. The method used in this research is a descriptive qualitative method,…
hod, as the research subject for teachers and students. The instruments and data collection techniques used consisted of interviews, observation and documentation. The data analysis technique uses the Milles and Huberman model theory which consists of data collection, data reduction, data display and conclusions. The research results show that Bogor district vocational school teachers have used portfolio assessment in writing learning activities. This was obtained from the results of interviews, observations and documents of teachers who had carried out the portfolio assessment stage in learning to write quite well but not yet optimally. There are still several steps that have not been implemented by teachers in the form of obstacles in providing reviews and reflections on students' assignment results due to time constraints.
Abstract:This study examines the process of preparing financial statements for Regional Work Units (Regional Work Units, SKPD) using an accrual-based accounting approach in accordance with Government Regulation No. 71 of 2010. The…
e discussion focuses on the complete accounting cycle, from the opening balance sheet to the final financial statements. The methodology used includes literature review and best practice analysis, using illustrative data. The results emphasize the importance of a comprehensive understanding of the SKPD accounting cycle to produce accurate financial statements that adhere to established standards. Furthermore, this study reviews existing literature on transparency and accountability in local governments, identifies challenges and opportunities, and offers recommendations to enhance these aspects. By understanding the accrual-based accounting process and advancing transparency and accountability efforts, it is expected that local government financial statements will become more meaningful, reliable, and supportive of better decision-making processes for stakeholders.
Abstract:Penelitian ini bertujuan untuk mengkaji perkembangan penelitian mengenai Organizational Citizenship Behavior (OCB) selama rentang waktu 2013–2023 melalui pendekatan Systematic Literature Review (SLR). Kajian dilakukan menggunakan…
menggunakan pedoman Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) dengan menelusuri artikel yang terindeks Scopus sesuai kriteria inklusi. Dari proses identifikasi dan penyaringan diperoleh 79 artikel yang relevan. Temuan utama menunjukkan bahwa anteseden OCB yang paling dominan adalah Corporate Social Responsibility Activities, Job Satisfaction, Organizational Commitment, dan Perceived Organizational Support. Konsekuensi OCB paling banyak mengarah pada peningkatan performance baik individu maupun organisasi. Kajian ini memberikan kontribusi dalam memetakan perkembangan penelitian OCB, sehingga dapat menjadi acuan akademisi dan praktisi dalam mengembangkan strategi organisasi.
Abstract:The preparation of financial and tax reports has a very important role in determining the success and compliance of an entity with applicable regulations and standards. The accounting services firm is the entity responsible…
ble for compiling these reports for its clients. Therefore, evaluation of the process of preparing financial and tax reports at accounting services firms becomes relevant to ensure the quality, accuracy and compliance of these reports. The aim of this research is to evaluate the effectiveness and efficiency of preparing financial and tax reports in accounting services offices. This includes analysis of existing processes, use of technology in preparing reports, and understanding taxes. In this way, it is hoped that areas where improvements are needed to improve service quality and compliance with applicable regulations can be identified. This data was collected through literature reviews and interviews with accounting practitioners and analysis of related documents. Apart from that, direct observation of the report preparation process was also carried out to gain a more in-depth understanding. The research results show that although many accounting firms have implemented best practices in preparing financial and tax reports, there are still several areas where improvements can be made. This includes increased use of technology to increase efficiency and increased collaboration between accounting teams and clients to ensure better compliance. By implementing the recommendations resulting from this research, it is hoped that accounting services firms can improve the services they provide and ensure better compliance with accounting and tax standards
Abstract:This study aims to analyze the application of the Hutagogy (Self-Determined Learning) system in basic proficient course training at Pusdiklatcab Jombang, East Java. Hutagogy is a learning approach that gives trainees greater…
ater control and responsibility in organizing and directing their own learning. The research method used is qualitative research with a case study approach. Data were collected through participatory observation, interviews with trainees and instructors, and analysis of training-related documents. The results of this study are expected to provide insight into the effectiveness and benefits of implementing the Hutagogy system in the context of basic proficient course training. A significant 75% strongly agree with the use of diverse media in learning, indicating an understanding of the value of multimedia technologies. Furthermore, 50% strongly agree that students actively participate in course assessments, demonstrating a willingness to evaluate and improve the learning process. Finally, an overwhelming 81.3% support a thorough approach to assessment that includes pre-tests, post-tests, reviews, feedback, and reflections, demonstrating commitment to a holistic evaluation process. And all of the finding explained that hutagogy was applied at Pusdiklatcab Jombang , East Java.