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…
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 …
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…
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…
Cities around the world, including the City of Palembang, are facing increasing challenges in terms of transportation management. Population growth, urbanization and continuous population mobility have led to increased traffic, congestion and challenges in achieving efficient mobility. So a research was carried out using various models and algorithms in the context of object recognition, vehicl…
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…
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. …
Penggunaan layanan cloud telah menjadi semakin populer dalam beberapa tahun terakhir, memicu peningkatan permintaan terhadap sumber daya cloud computing yang lebih besar dan efisien. Hal ini menimbulkan tantangan baru dalam mengelola beban kerja yang semakin kompleks dan beragam. Penelitian ini bertujuan untuk memvalidasi efektivitas metode load balancing MTBLB (Multi-time Based Load Balancing)…
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 …
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…
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…
GrabFood, makes it easier for consumers to buy food and beverages without having to go to a restaurant. The competition between GrabFood and its competitors is currently growing rapidly. Therefore, GrabFood implements CRM activities by promoting various promotions and foods through social media platforms using the Instagram account @grabfood.id. This study focuses on examining whether activitie…
Pada masa kini semakin meningkat pengguna internet yang mengakses website pada waktu tertentu yang mana dapat menyebabkan kinerja web server menjadi buruk hingga mengalami downtime. Maka dari itu diperlukan sebuah sistem yang dapat aktif menjalankan web server secara terus menerus tanpa gangguan, yaitu Kubernetes. Kubernetes menerapkan cluster based yang terdiri dari satu node master dan bebera…
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…
Proses labelisasi manual pada citra USG merupakan tugas yang menantang dikarenakan memerlukan ketelitian tinggi dan waktu yang lama. Sehingga labelisasi otomatis dengan deep learning dapat menjadi solusi. Penelitian ini bertujuan untuk mengetahui performa segmentasi dan labelisasi otomatis dengan menggunakan deep learning. Data dari penelitian menggunakan pemeriksaan USG pada jantung janin berj…
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…
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)…
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…
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…
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. …
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…
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…
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…
Background. Neurofeedback therapy is a non-pharmacological approach that trains patients to regulate their brain activity through an EEG-based feedback system. This method has been applied to support neurological recovery in conditions such as stroke, epilepsy, and sleep disorders. However, its clinical implementation in Indonesia remains limited. This study aimed to describe the characteristic…
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 …
Background. Tension-Type Headache (TTH) is one of the most common primary headaches among young adults, especially medical students who are often exposed to intense academic pressure and long hours of gadget use. Digital devices play an important role in daily learning activities, yet prolonged screen time may contribute to physical complaints, including TTH. This study aimed to explore whether…
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,…