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 …
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…
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…
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 …
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,…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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 …
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 …
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…
Kemajuan teknologi informasi yang pesat mendorong sektor kesehatan untuk bertransformasi menuju pemanfaatan platform digital demi meningkatkan efisiensi dan kemudahan akses layanan. Klinik Yamet Palembang, sebagai pusat terapi bagi anak berkebutuhan khusus, telah menggunakan media sosial sebagai kanal komunikasi utama, meskipun situs web resminya masih belum dioptimalkan secara maksimal. Permas…
Perkembangan teknologi mendorong kemajuan industri game, termasuk genre Action Role-Playing Game (ARPG). Genshin Impact, sebagai game ARPG terkemuka, menawarkan grafis memukau, gameplay mendalam, dan dunia terbuka yang luas. Penelitian ini menggunakan metode Player Experience of Need Satisfaction (PENS) untuk mengevaluasi kepuasan pemain berdasarkan teori Self�Determination (SDT), yang mencak…
This study aims to measure the digital literacy index of the farming community in Gelebak Dalam Village, Rambutan Subdistrict, Banyuasin Regency, using the Digital Literacy Index method, which consists of four dimensions, namely Digital Skills, Digital Ethics, Digital Safety, and Digital Culture. The research method used is descriptive quantitative with data collection techniques through questi…
Cataracts are the leading cause of blindness worldwide and in Indonesia, which are often treated too late due to limited access to medical services, especially in remote areas. Early detection is crucial to prevent more severe visual impairment. This study aims to develop a mobile application called CARA-Mata that utilizes Deep Learning technology with YOLOv11 architecture to detect cataracts e…
Sales evaluation application is intended to increase efficiency in terms of making sales reports. Therefore it is necessary to conduct research to develop sales evaluation applications. The purpose of this application is to provide convenience to employees and leaders of the echo store in making reports and being able to find out sales transaction targets. This research was conducted using obse…
Perkembangan teknologi Augmented Reality (AR) memberikan peluang baru dalam penyajian media promosi yang lebih interaktif, khususnya pada industri interior bangunan seperti produk kaca hias. Penelitian ini mengembangkan aplikasi mobile berbasis AR dengan metode markerless tracking yang memungkinkan pengguna mensimulasikan motif kaca patri dan kaca inlay secara langsung pada bidang nyata. Fitur …
The rapid growth of the cosmetics industry on e-commerce platforms has intensified competition, creating a critical need for effective, data-driven marketing strategies. This study aims to conduct a comparative analysis of machine learning algorithms to predict the sales categories (High, Medium, Low) of cosmetic products on the Tokopedia marketplace. Four classification models; Random Forest, …
YouTube, as a highly interactive platform, has become a medium for online gambling promotions, raising legal issues under the Electronic Information and Transactions (ITE) Law and social risks, particularly for adolescents. This study aims to analyse public responses to gambling-related comments and to develop an automatic detection system using Natural Language Processing (NLP). The research f…
This study aims to evaluate the usability level of the Strava fitness application using the Post-Study System Usability Questionnaire (PSSUQ) and the Retrospective Think Aloud (RTA) method. A total of 128 respondents completed the PSSUQ questionnaire, while five respondents participated in RTA sessions to provide qualitative insights into their user experience. The analysis shows that Strava ha…
The rapid growth of the global game industry has positioned Roblox as a popular creative ecosystem platform; however, game development within it requires a structured approach to ensure gameplay quality. This study aims to develop a mountain climbing-themed platformer game on the Roblox platform by applying the Game Development Life Cycle (GDLC) method and measuring the quality of its user expe…