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ANALISIS SENTIMEN PENGGUNA INSTAGRAM TERHADAP POSTINGAN PROGRAM MAKAN SIANG G…
Social media is widely used today for communication and information exchange. One of the most popular social media platforms is Instagram. The comments section on an Instagram post creates discussions among users regarding issues that are currently being widely discussed. One of the issues that is currently being widely discussed is the free lunch program, which is a new program created by the …
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- xiv, 46 hlm.; ilus.; 29 cm
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- T1946112026
ANALISIS SENTIMEN PADA ULASAN APLIKASI MYPERTAMINA MENGGUNAKAN INDOBERT
The implementation of the MyPertamina application as a means of distributing subsidized fuel has triggered various responses from the public. User reviews on the Google Play Store platform serve as a vital data source that can be utilized to analyze public satisfaction. This study aims to classify the sentiment of MyPertamina application user reviews into positive and negative classes using the…
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- xxi, V-16 hlm.; ilus.; 29 cm
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- T1936142026
ANALISIS SENTIMEN MASYARAKAT TERHADAP KEBIJAKAN KENAIKAN TUNJANGAN DPR RI DI …
Social media is a forum or platform for discussion space for the public, one of the issues that is currently phenomenal is the issue of increasing allowances for the House of Representatives of the Republic of Indonesia which raises pros and cons, this issue emerged after the plan to increase the allowance of the House of Representatives of the Republic of Indonesia was known by the public and …
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- xvi, 84 hlm.; ilus.; 29 cm
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- T1918512025
ANALISIS SENTIMEN NETIZEN DAN FENOMENA HIJACKING PADA POSTINGAN PERINGATAN HU…
This study examines the comment hijacking phenomenon in the post commemorating the 80TH anniversary of the republic of indonesia on the official instagram account @dpr_ri, dated august 17, 2025. A post intended to celebrate national independence was instead flooded with critical comments regarding housing allowances for members of the house of representatives (dpr), legislative performance, and…
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- viii, 97 hlm.; ilus.; 29 cm
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- T1919822025
ANALISIS SENTIMEN PUBLIK TERHADAP KEBIJAKAN PPATK PEMBLOKIRAN REKENING BANK M…
Kebijakan pemblokiran rekening dormant yang diterapkan oleh Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK) pada tahun 2025 bertujuan untuk mencegah penyalahgunaan rekening tidak aktif dalam aktivitas keuangan ilegal. Namun, kebijakan ini menimbulkan beragam respons dan perdebatan di masyarakat, khususnya di ruang digital, yang menunjukkan perbedaan tingkat penerimaan publik terhadap ke…
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- xiv, 59 hlm.; ilus.; 29 cm
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- T1918672026
ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X MENGENAI PINJAMAN ONLINE DENGAN PER…
The rapid development of technology and social media has transformed the way people express their opinions on various issues, including online loan services. Application X has become a primary platform for users to openly share their views. This study aims to analyze user sentiment toward online loan services by comparing the performance of the XGBoost and Random Forest algorithms. From an init…
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- xiii, 87 hlm.; ilus.; tab.; 29 cm
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- T1901022025
ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X TERHADAP FILM SORE: ISTRI DARI MASA…
Indonesia’s film industry is rapidly expanding with diverse genres and new titles, creating a need for fast, data-driven mapping of audience sentiment. This study maps social media X users’ sentiment toward the film “Sore: Istri dari Masa Depan,” which carries an unconventional theme, while addressing limited manual labels on short and noise tweets. Support Vector Machine (SVM) is selec…
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- xvi, 131 hlm.; ilus.; tab, 29 cm
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- T1893632025
KNOWLEDGE DISCOVERY: ANALISIS SENTIMEN DAN EMOSI WHATSAPP BUSINESS DENGAN MAC…
WhatsApp Business is one of the platforms that provides direct, fast, and efficient business communication services. This research was conducted to evaluate user perceptions of WhatsApp Business thru an in-depth sentiment analysis and emotion classification approach applied to user reviews. The data used consisted of 3,000 reviews collected thru scraping techniques, which were then processed th…
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- xvi, 83 hlm.; ilus.; tab, 29 cm
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- T1894142025
KNOWLEDGE DISCOVERY MENGGUNAKAN ANALISIS SENTIMEN DAN PEMODELAN TOPIK PADA UL…
The rapid growth of mobile banking in Indonesia underscores the need for secure and innovative digital financial services. However, studies that compare user experiences across multiple applications within the same bank remain limited. To address this research gap, we analyze BCA’s two primary applications, BCA Mobile and myBCA, which serve millions of users in Indonesia. Data collected from …
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- xvii, 97 hlm.; ilus.; tab, 29 cm
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- T1892802025
KNOWLEDGE DISCOVERY MELALUI ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN PENG…
BYOND by BSI is the latest application developed from BSI Mobile by Bank Syariah Indonesia as part of its digital banking transformation. The quality of this application can be evaluated through user reviews on the Google Play Store; however, the large volume of reviews creates challenges in extracting meaningful information. This study applies an Aspect-Based Sentiment Analysis (ABSA) approach…
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- xvii, 96 hlm.; ilus.; tab, 29 cm
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- T1893962025
ANALISIS SENTIMEN PADA MEDIA SOSIAL TWITTER TERHADAP PENGGUNAAN KENDARAAN LIS…
Penggunaan kendaraan listrik semakin meningkat di seluruh dunia sebagai solusi mengurangi emisi karbon dan ketergantungan pada bahan bakar fosil. Namun, adopsi teknologi ini menghadapi berbagai tantangan, termasuk penerimaan dari masyarakat. Melihat banyaknya opini yang ada di Twitter, penting untuk melakukan klasifikasi sentimen untuk memudahkan identifikasi opini terhadap kendaraan listrik. P…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1592022024
PREDIKSI KEPADATAN KENDARAAN BERDASARKAN ANALISIS DATA SENTIMEN TWITTER DAN E…
A comparison was conducted between social media data and traffic vehicle count data calculated by CCTV ETLE of Sumsel Regional Police Traffic Directorate. Both were processed and classified using the Support Vector Machine algorithm. Social media data collection was performed using scraping technique using Tweet Harvest from Playwright. Prior to classification using the Support Vector Machine a…
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- xiv, 70 hlm.; ilus.; 29 cm
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- T1458482024
KNOWLEDGE DISCOVERY TERHADAP ULASAN APLIKASI MENGGUNAKAN PERBANDINGAN WORD EM…
The rapid growth of e-commerce in Indonesia reflects the country's economic acceleration and provides a variety of benefits. One of them is TikTok Shop, which has become a popular platform for digital economic activities that offers opportunities for businesses and consumers. To maximize these opportunities, companies must effectively understand and manage user sentiment to improve services and…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1614492024
ANALISIS SENTIMEN PERSEPSI PENGGUNA TWITTER MENGENAI PENERAPAN PENDETEKSI WAJ…
In this study, an analysis of Twitter users' opinions and perceptions regarding the implementation of facial recognition will be conducted, with a focus on performance and privacy security. The method to be applied is Long Short Term Memory (LSTM) and Word2Vec weighting. LSTM, also known as deep learning, is chosen because it can process and retain long-term information, making it suitable for …
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- xviii, xviii hlm.; ilus.; tab.; 29 cm
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- T1499292024
SENTIMEN ANALISIS TERHADAP APLIKASI ALFAGIFT PADA GOOGLE PLAY STORE DENGAN AL…
With the increasing digital literacy and the existence of the Alfagift application (alfamart's shopping application), many customers' shopping patterns are now shifting to online shopping. Because this application provides many secondary goods and primary goods. Alfamart as part of the largest retail network in Indonesia continues to innovate and adapt to market changes and current customer nee…
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- xv, 47 hlm.; ilus.; tab.; 29 cm.
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- T1449182024
ANALISIS SENTIMEN REVIEW MOVIE PADA IMDB MENGGUNAKAN METODE SELEKSI FITUR INF…
IMDb is a website that provides information about all movies, including user-generated movie reviews. Reviews are identified through textual data in the form of comment text. However, the large number of features in reviews makes the textual data ambiguous, creating difficulties for sentiment analysis. To address this challenge, this research employs the Information Gain feature selection metho…
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- xv, 95 hlm.; ilus.; 29 cm
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- T1308852023
Klasifikasi teks bahasa Indonesia pada twitter menggunakan metode Naive Bayes…
Klasifikasi tweet salah satunya digunakan sebagai alat bantu untuk melihat respon masyarakat terhadap suatu produk. Jumlah data tweet yang besar menyebabkan timbulnya kebutuhan untuk mengelompokkan tweet dan melakukan analisis sentimen berdasarkan isinya ke dalam kategori tertentu. Tujuan penelitian ini adalah untuk mengklasifikasi tweet berbahasa Indonesia pada twitter. Penelitian ini mengguna…
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- xiv, 112 hlm. : ilus.
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- 006.754 07 Kar K 2015
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