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ANALISIS SENTIMEN MEDIA SOSIAL X TERHADAP FILM DOKUMENTER “DIRTY VOTE” ME…
This research aims to analyze the sentiment of the documentary film "Dirty Vote" based on public comments on social media X using the Support Vector Machine (SVM) method. The movie "Dirty Vote" is a criticism of the implementation of elections and candidate pairs in Indonesia, thus triggering various reactions among the public. Public comments on social media X became a valuable source of infor…
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- xiii, 126 hlm.; ilus.; 29 cm
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- T1517522024
ANALISIS PENGARUH BRAND EXPERIENCE TERHADAP LOYALITAS MEREK PADA SPOTIFY MELA…
Spotify is a music and podcast streaming service application. The purpose of this study was to examine the effect of brand experience on brand loyalty mediated by brand satisfaction. This research uses a quantitative approach by distributing questionnaires to 100 spotify customer respondents who live in Palembang city, which is determined using the Lemeshow formula. The data collected was then …
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- ix, 86 hlm.; ilus.; 29 cm
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- T1571522024
IMPLEMENTASI SISTEM INFORMASI PELAPORAN KEUANGAN BERBASIS WEB UNTUK MENINGKAT…
This study aims to determine the implementation of a web-based financial reporting information system at PT Mitra Dinamis Yang Utama whose application is personalized, furthermore, with the analysis of whether the implementation can improve the company's operational efficiency and the reliability of the financial data produced. The type of research used is qualitative descriptive with the subje…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1567852024
ANALISIS SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMAAN BANTUAN SOSIAL MENGG…
Social assistance is one of the government’s efforts to reduce social inequality and achieve social justice for all Indonesian citizens. However, limited budget allocations make it necessary to develop an objective selection analysis system to determine eligible recipients. This study aims to apply the Weighted Product (WP) method in analyzing a Decision Support System for determining social …
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- xvii, 99 hlm.; ilus.; tab.; 29 cm
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- T1895772025
PERBANDINGAN METODE SUPPORT VECTOR MACHINE DAN RANDOM FOREST DALAM KLASIFIKAS…
Accreditation is a benchmark in assessing the quality and feasibility of universities. One of the accreditation assessments in universities is the percentage of student graduation. So, the percentage of late graduation and Drop Out (DO) can affect the assessment. Therefore, there is a need for a technique in classifying student graduation time that can help provide recommendations for making po…
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- xviii, 151 hlm.; ilus.; 29 cm
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- T1571602024
ANALISIS EVALUASI TINGKAT LITERASI KEAMANAN CYBER PENGGUNAAN MEDIA SOSIAL (ST…
This study aims to analyze the level of cyber security literacy among students of SMK Bukit Asam and classify it using the Random Forest algorithm. The research employed a quantitative approach using a questionnaire consisting of four main indicators: knowledge, attitude, behavior, and overall cyber security literacy. A total of 192 students participated as respondents in this study. The result…
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- xvi, 103 hlm.; ilus.; tab.; 29 cm
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- T1895802025
PEMETAAN POTENSI CUACA EKSTREM PADA KAB. BANGKA DENGAN MEMANFAATKAN SISTEM IN…
This research aims to create a zoning map of extreme weather potential as optimally as possible. The parameters used in this research are land cover, topography and rainfall. The research method used is the weighted overlay method. After the overlay process, the results of the output map showing extreme weather potential indicate the existence of 3 hazard level classes, namely low, medium and h…
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- xiv, 165 hlm.; ilus.; 29 cm
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- T1567832024
PEMETAAN POTENSI CUACA EKSTREM PADA KOTA PAGAR ALAM BERBASIS SISTEM INFORMASI…
This research aims to determine the potential for extreme weather in the city of Pagar Alam using ArcGis software version 10.8. Mapping the potential for extreme weather disasters in the city of Pagar Alam uses 3 parameters, namely land cover, rainfall and topography/slope. These three parameters will be processed and produce each map, namely a land cover map, rainfall map and topographic map. …
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- ix, 86 hlm.; ilus.; 29 cm
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- T1570942024
ANALISIS KLASTERING KELOMPOK PEKERJAAN MENGGUNAKAN METODE K-MEANS PADA DATA S…
The oil and gas industry involves high-risk activities that require accurate utilization of operational data to support occupational safety. However, at PT Pertamina Hulu Rokan Zona 4 Field Limau, the Work Permit Safety System (SIKA) is still used mainly as an administrative document and has not been leveraged to analytically identify work permit patterns. This study aims to explore clustering …
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- xv, 67 hlm.; ilus.; tab.; 29 cm.
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- T1895522025
OPTIMASI PROSES LAYANAN PERPUSTAKAAN MELALUI BUSINESS PROCESS IMPROVEMENT (BP…
Efficient library services are an important factor in improving the quality of public services. This study aims to optimize the membership registration process and the book borrowing and return services at the South Sumatra Provincial Library Office using the Business Process Improvement (BPI), Process Cycle Efficiency (PCE), and Failure Mode and Effect Analysis (FMEA) approaches. The As-Is pro…
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- xv, 111 hlm.; ilus.; tab.; 29 cm.
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- T1895422025
PENERAPAN METODE LONG SHORT-TERM MEMORY (LSTM) UNTUK PREDIKSI PRODUKSI MINYAK…
Oil production prediction is a crucial component of operational planning and strategic decision-making in the upstream oil and gas industry. This study applies the Long Short-Term Memory (LSTM) method to model and predict oil production using daily historical data from PT Pertamina Hulu Rokan Regional 1 Zona 4 Limau Field for the period January 1, 2022, to July 31, 2025. Data processing steps i…
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- xv, 76 hlm.; ilus.; tab.; 29 cm.
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- T1895542025
IMPLEMENTASI TEST-DRIVEN DEVELOPMENT PADA RANCANG BANGUN SISTEM INFORMASI WAR…
The development of information technology has made information systems an essential component in supporting the effectiveness and quality of corporate operations. PT Buana Sentosa Nusantara still faces challenges in warehouse management, particularly in recording incoming goods, validating delivery data, and generating reports, which are still performed manually and may lead to errors and ineff…
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- xv, 250 hlm.; ilus.; tab.; 29 cm.
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- T1896082025
PENGARUH PERCEIVED EASE OF USE PENGGUNAAN QRIS TERHADAP KEPUASAN DAN LOYALITA…
The development of digital payment systems in Indonesia has driven the increasing use of the Quick Response Code Indonesian Standard (QRIS) as a non-cash transaction method, particularly in the food and beverage sector. Ease of use is an important factor that influences user experience and acceptance of digital payment technologies. This study aims to analyze the effect of Perceived Ease of Use…
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- xiv, 91 hlm.; ilus.; tab.; 29 cm.
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- T1896182025
EVALUASI PENGALAMAN PENGGUNA APLIKASI CAPCUT BERDASARKAN USER EXPERIENCE QUES…
The development of video editing applications encourages users to choose applications that are not only functional but also provide an optimal user experience. CapCut is one of the applications widely used, especially by students, to meet the needs of digital content creation. This study aims to evaluate the user experience of the CapCut application using the User Experience Questionnaire (UEQ)…
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- xiv, 85 hlm.; ilus.; tab.; 29 cm.
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- T1896192025
ANALISIS USER EXPERIENCE (UX) MENGGUNAKAN METODE USER EXPERIENCE QUESTIONNAIR…
Teknologi terus berkembang pesat, dan pengaruhnya terasa di berbagai aspek kehidupan masyarakat, termasuk dalam aktivitas transaksi. Kesadaran masyarakat akan pentingnya teknologi meningkat seiring dengan bertambahnya kebutuhan di sektor ini. Kemajuan smartphone dan internet memungkinkan perusahaan memanfaatkan inovasi untuk meningkatkan layanan, memperluas pasar, dan mempromosikan produk, sepe…
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- xiv, 58 hlm.; ilus.; 29 cm
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- T1579932024
ANALISIS TINGKAT KEPUASAN PENGGUNA APLIKASI TIX ID MENGGUNAKAN METODE USER EX…
Di lingkungan saat ini, penggunaan aplikasi seluler sedang meningkat dan pengalaman pengguna adalah kunci keberhasilan aplikasi. Adapun tujuan penelitian adalah untuk menganalisis tingkat kepuasan pengguna aplikasi TIX ID dengan metode User Experience Questionnaire (UEQ) di lingkungan kampus Fakultas Ilmu dan Teknologi Komputer Universitas Sriwijaya. Alasan umumnya mencakup konten usang, ukuran…
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- xv, 42 hlm.; ilus.; 29 cm
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- T1579632024
KNOWLEDGE DISCOVERY DALAM KOMPARASI ALGORITMA ENSEMBLE BOOSTING PADA KLASIFIK…
Good water quality is one of the leading indicators in supporting the life of living things. However, pollution from industrial, domestic, and agricultural waste has resulted in a decline in water quality, which has the potential to cause environmental and health problems. Rapid technological advancements have made machine learning algorithms a viable alternative for classifying water quality. …
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- xvi, 74 hlm.; ilus.; tab.; 29 cm.
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- T1895992025
KNOWLEDGE DISCOVERY DALAM MEMPREDIKSI SKOR SUSTAINABLE DEVELOPMENT GOALS (SDG…
SDGs score prediction is important in assisting the planning and evaluation of policies to achieve these global targets. This study aims to compare the performance of several regression algorithms in predicting the SDGs score: Polynomial Regression, Support Vector Regression, Random Forest Regression, and Gradient Boosting Regressor. The dataset used consists of data on country names, years, SD…
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- xiv, 83 hlm.; ilus.; tab.; 29 cm.
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- T1895962025
ANALISIS SENTIMEN PADA ULASAN GOOGLE PLAY STORE UNTUK MENGUKUR PERSEPSI PENGG…
This study was conducted to analyse sentiment towards user reviews from the Google Play Store regarding the Gojek application. The analysis aims to measure user perceptions using a Convolutional Neural Network (CNN). This study aims to understand user views on the Gojek application. By understanding user perceptions, the information obtained can be utilized by the company's service team to impr…
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- xvii, 88 hlm.; ilus.; tab.; 29 cm.
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- T1895612025
OTOMATISASI ULASAN PENGGUNA: DETEKSI KELUHAN ACTIONABLE PADA GOJEK DI PLAY ST…
This study aims to develop an automatic complaint detection system for Gojek application reviews using Long Short-Term Memory (LSTM). The dataset used in this research consists of 225,002 user reviews obtained from the Play Store. The objective is to build a system capable of classifying user reviews into two labels. The processing was carried out using three different data-split ratios to ensu…
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- xvii, 97 hlm.; ilus.; tab.; 29 cm.
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- T1894892025
IMPLEMENTASI WEBQUAL 4.0 DALAM MENGUKUR KUALITAS WEBSITE E-PPT FAKULTAS ILMU …
The rapid growth of digital technologies in higher education has encouraged universities to improve academic service delivery through integrated online platforms. This study aims to measure the effectiveness of the E-PPT (Pusat Pelayanan Terpadu Berbasis Elektronik) website of the Faculty of Computer Science, Universitas Sriwijaya, using the WebQual 4.0 model. A quantitative descriptive method …
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- xv, 91 hlm.; ilus.; tab.; 29 cm.
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- T1894962025
PERBANDINGAN ALGORITMA KLASIFIKASI DALAM MENGANALISIS KONSISTENSI PEMILIHAN J…
Choosing a college major that is consistent with a student's high school background is a crucial factor in supporting academic achievement and career preparation. This study focuses on a comparative analysis of the Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms in evaluating the consistency of college major selection. This study used processed data from 636 students for an…
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- xv, 104 hlm.; ilus.; tab.; 29 cm.
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- T1895852025
PENERAPAN ADASYN UNTUK MENANGANI DATA IMBALANCE DALAM PERBANDINGAN KINERJA SV…
The rapid growth of digital applications has heightened the need to understand user perceptions more thoroughly, particularly through sentiment analysis of user-generated reviews. In practice, sentiment classification often faces challenges related to class imbalance, especially when neutral reviews are significantly fewer than positive or negative ones. This imbalance can limit a model’s abi…
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- xvi, 93 hlm.; ilus.; tab.; 29 cm.
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- T1895872025
ANALISIS SENTIMEN PADA APLIKASI JMO MOBILE DALAM PERBANDINGAN KINERJA SUPPORT…
JMO Mobile is a digital service application that enables the public to access employment-related information and benefits. User reviews serve as a valuable resource for evaluating service quality, yet systematic sentiment analysis on this application remains limited. This study aims to classify the sentiment of user reviews and compare the performance of Support Vector Machine (SVM) and Random …
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- xv, 93 hlm.; ilus.; tab.; 29 cm.
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- T1895382025
COMPARISON OF CLUSTERING MODELS FOR GROUPING LIFESTYLE PATTERNS AND OBESITY F…
Obesity is a growing global health issue and a major risk factor for various chronic diseases. This study aims to compare the performance of three clustering methods K-Means, Agglomerative Clustering, and Gaussian Mixture Model (GMM) in grouping lifestyle patterns and obesity-related factors. The research uses the Food Nutrition dataset containing variables on dietary habits, physical activity,…
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- xii, 54 hlm.; ilus.; tab.; 29 cm.
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- T1895952025
PENERAPAN K-MEANS CLUSTERING UNTUK SEGMENTASI WAJIB PAJAK SEBAGAI DASAR PENYU…
Pengelolaan data wajib pajak yang efektif sangat penting untuk meningkatkan tingkat kepatuhan dan mengoptimalkan pendapatan daerah. Penelitian ini bertujuan untuk mengatasi keterbatasan penerapan segmentasi wajib pajak berbasis data pada instansi Samsat tingkat lokal dengan menerapkan metode K-Means Clustering sebagai pendukung penyusunan strategi Customer Relationship Management (CRM) yang leb…
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- xiv, 82 hlm.; ilus.; tab.; 29 cm.
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- T1895942025
PERANCANGAN ANTARMUKA SISTEM MANAJEMEN GUDANG MENGGUNAKAN METODE TASK CENTERE…
The Warehouse Management System (WMS) at PT Telkom Akses Palembang still faces challenges with its user interface, such as an outdated appearance, unintuitive navigation, and minimal inform ation visualization, which hinder the efficiency of warehouse staff. This study aims to redesign the web-based WMS interface using a Human Computer Interaction (HCI) approach through the Task Centered System…
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- xvii, 99 hlm.; ilus.; tab.; 29 cm.
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- T1895912025
SONGPALAR : INOVASI AUGMENTED REALITY PEMBELAJARAN INTERAKTIF DAN PELESTARIAN…
This study aims to develop the SongPalar application based on Augmented Reality (AR) as a medium for learning and promoting Palembang Songket culture to support the preservation of local cultural heritage. The background of this study is based on the low utilization of digital technology in the promotion and education of Palembang Songket, as well as the lack of awareness among the younger gene…
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- xvii, 76 hlm.; ilus.; tab.; 29 cm.
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- T1896072025
EVALUASI PENDEKATAN ENSEMBLE LEARNING UNTUK ANALISIS SENTIMEN PADA ULASAN APL…
The development of online transportation applications such as Maxim has increased the need for sentiment analysis to understand user opinions from reviews on the Google Play Store. The main challenges in this analysis are language diversity, variations in writing style, and data imbalance, which affect model accuracy. This study aims to evaluate the performance of the Support Vector Machine (SV…
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- xiii, 95 hlm.; ilus.; tab.; 29 cm.
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- T1895342025
IMPLEMENTASI INDOBERT UNTUK ANALISIS SENTIMEN BERBASIS ASPEK TERHADAP ULASAN …
Aspect-Based Sentiment Analysis (ABSA) has become a crucial approach for extracting detailed opinions from user-generated content, especially in the healthcare domain. This study analyzes public sentiment toward hospital services in Indonesia using IndoBERT, fine-tuned on 2.448 reviews collected from Google Reviews and Instagram. Sentiment labels were automatically assigned with a pre-trained I…
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- xv, 100 hlm.; ilus.; tab.; 29 cm.
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- T1895862025
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