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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
PERBANDINGAN ALGORITMA RANDOM FOREST, LOGISTIC REGRESSION, DAN XGBOOST DALAM …
Understanding user sentiment from e-commerce reviews is essential for platform improvement and business strategy. This study compares three machine learning algorithms—Logistic Regression, Random Forest, and XGBoost—for sentiment classification of Indonesian-language Tokopedia reviews. A dataset of 6,822 user reviews was preprocessed through tokenization, stopword removal, and TF-IDF vector…
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- xv, 98 hlm.; ilus.; tab.; 29 cm.
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- T1895732025
PENERAPAN METODE MACHINE LEARNING DAN TEKNIK SMOTE UNTUK PREDIKSI DIABETES
Diabetes merupakan salah satu penyakit tidak menular yang prevalensinya terus meningkat secara global maupun nasional. Kondisi ini menimbulkan risiko komplikasi serius seperti penyakit jantung, stroke, hingga gagal ginjal apabila tidak terdeteksi sejak dini. Oleh karena itu, dibutuhkan metode prediksi berbasis data yang mampu membantu proses deteksi awal secara cepat, akurat, dan efisien. Penel…
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- xix, 93 hlm.; ilus.; tab.; 29 cm.
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- T1895142025
ANALISIS SENTIMEN PELANGGAN TERHADAP PENILAIAN PRODUK PADA TOKOPEDIA NYEMIL.S…
Penelitian ini bertujuan menganalisis sentimen pelanggan terhadap ulasan produk pada toko Nyemil.Saji di Tokopedia menggunakan metode Support Vector Machine (SVM). Permasalahan utama yang melatarbelakangi penelitian adalah adanya ketidaksesuaian antara isi ulasan teks dan rating bintang yang menyulitkan evaluasi kualitas produk secara objektif. Data dikumpulkan melalui web scraping dan diproses…
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- xviii, 113 hlm.; ilus.; tab.; 29 cm.
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- T1895222025
PENERAPAN METODE AHP DAN SMART DALAM PEMILIHAN PROVIDER WIFI DI KOTA PALEMBANG
Kebutuhan masyarakat terhadap layanan internet yang cepat dan stabil semakin meningkat seiring dengan perkembangan teknologi digital di Kota Palembang. Banyaknya pilihan penyedia layanan Wi-Fi (Internet Service Provider) dengan karakteristik berbeda menimbulkan kesulitan bagi pengguna dalam menentukan pilihan terbaik secara objektif. Penelitian ini bertujuan untuk menerapkan metode Analytic Hie…
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- xv, 84 hlm.; ilus.; tab.; 29 cm.
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- T1895182025
KNOWLEDGE DISCOVERY ANALISIS PERBANDINGAN MODEL MACHINE LEARNING DALAM PREDIK…
Peningkatan volume sampah perkotaan menuntut sistem pengelolaan yang lebih efisien dan berbasis data, khususnya dalam perencanaan pengumpulan sampah harian. Permasalahan utama dalam prediksi volume sampah adalah kompleksitas hubungan non-liniar antar variabel serta keterbatasan penelitian yang membandingkan kinerja berbagai algoritma machine learning secara komprehensif. Penelitian ini bertujua…
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- xii, 105 hlm.; ilus.; tab.; 29 cm.
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- T1895002025
IMPLEMENTASI METODE RAPID APPLICATION DEVELOPMENT (RAD) DAN FRAMEWORK DOUBLE …
Digital transformation is a strategic necessity for educational institutions to enhance service quality and operational effectiveness. Pondok Pesantren Salafiyah and Tahfidzul Qur’an Al-Falah Putak has utilized a web-based information system; however, its use remains suboptimal in terms of information presentation, content structure, and user experience. This study aims to develop the New Stu…
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- xvi, 232 hlm.; ilus.; tab.; 29 cm.
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- T1895532025
IMPLEMENTASI SISTEM REKAPITULASI PRESENSI PEGAWAI KANTOR DIREKTORAT JENDERAL …
The employee attendance recap process plays an important role in supporting personnel management and managerial decision-making in government institutions. However, at the Regional Office of the Directorate General of Customs and Excise of Eastern Sumatra, the attendance recap process is still conducted manually by combining attendance, leave, and official duty data obtained from several separa…
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- xvii, 98 hlm.; ilus.; tab.; 29 cm.
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- T1895102025
MEDIA PROMOSI DEKORASI PERNIKAHAN INTERAKTIF MENGGUNAKAN TEKNOLOGI AUGMENTED …
Industri dekorasi pernikahan membutuhkan media promosi yang mampu menyajikan visualisasi desain secara lebih realistis untuk membantu calon pengantin memahami konsep dekorasi secara akurat. Media promosi konvensional seperti foto dan video 2D sering kali tidak mampu memberikan gambaran ruang yang mendalam sehingga diperlukan pendekatan visual yang lebih interaktif. Penelitian ini mengembangkan …
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- xvi, 114 hlm.; ilus.; tab.; 29 cm.
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- T1895072025
PENERAPAN NAÏVE BAYES UNTUK MENGANALISIS SENTIMEN PADA ULASAN APLIKASI X (TW…
Penelitian ini bertujuan untuk mengidentifikasi dan mengklasifikasikan sentimen pada ulasan pengguna aplikasi X (Twitter) ke dalam kategori positif dan negatif secara otomatis untuk memperoleh gambaran objektif mengenai persepsi pengguna. Kebaruan penelitian terletak pada penerapan rangkaian preprocessing teks secara lengkap berbasis TF-IDF yang dikombinasikan dengan evaluasi model menggunakan …
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- xvii, 81 hlm.; ilus.; tab.; 29 cm.
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- T1895192025
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI TOKOPEDIA MENGGUNAKAN ALGORITMA RA…
Dalam beberapa tahun terakhir, pertumbuhan e-commerce di Indonesia menunjukkan peningkatan yang signifikan, menjadikan ulasan konsumen sebagai acuan utama dalam menilai kualitas layanan dan pengalaman pengguna. Tokopedia, sebagai salah satu platform e-commerce terbesar, menerima jutaan ulasan yang merefleksikan opini serta pengalaman pelanggan terhadap berbagai produk dan layanan. Karena berben…
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- xvi, 88 hlm.; ilus.; tab.; 29 cm.
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- T1895122025
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