This study aims to identify patterns in the relationship between the number of school buses and the number of school passengers in Jakarta during the 2017–2019 period using an unsupervised learning approach. Four clustering algorithms K-Means, Fuzzy C-Means, Gaussian Mixture Model, and Spectral Clustering were applied to group the data, all of which produced two optimal clusters. Among these …
This research aims to develop a model capable of predicting soil condition classification based on datasets obtained from smart farming monitoring devices using the Support Vector Machine (SVM) algorithm. The dataset includes attributes such as air temperature, air humidity, soil moisture, soil higrow, light intensity, and battery level. The classification process utilizes the Kingma formula to…
In digital era right now, with the rapid advancement of time, system and network security is very important in the digital communication environment. Machine learning techniques are currently one of the many methods used to address this, including a method known as Reinforcement Learning (RL), which can be used to solve classification problems. In this study, we discuss the application of the D…
The Internet of Things (IoT) has brought various conveniences to everyday life, particularly in smart home applications. However, this increased connectivity also heightens the risk of cyber attacks, especially Distributed Denial of Service (DDoS) attacks. This study aims to analyze the effectiveness of the Multilayer Perceptron (MLP) method in detecting DDoS attacks within IoT-based smart home…
The Internet of Things (IoT) has facilitated the automation of household device management through the implementation of smart home concepts. However, the increasing number of connected devices in a network also raises the risk of cyberattacks, one of which is the Distributed Denial of Service (DDoS) attack that can disrupt service availability. This study aims to detect DDoS attacks on smart h…
The advancement of the Internet of Things (IoT) enables physical devices such as cameras, home doors, televisions, lights, and other household appliances to connect to the internet, forming an intelligent and convenient Smart Home system. However, the connectivity among these heterogeneous devices also increases vulnerability to cyberattacks, particularly Distributed Denial of Service (DDoS) at…
The Internet of Things (IoT) has brought convenience to everyday life, particularly through the implementation of smarthome devices. However, the connectivity of these devices also increases their vulnerability to cyber threats, especially Distributed Denial of Service (DDoS) attacks, which can severely disrupt system operations. This study aims to detect DDoS attacks on smarthome devices using…
Usability level is one of the methods that can affect the comfort of mobile application users, and evaluation is very important to do. Spotify, as an app for listening to music and podcasts, has users from different parts of the world. The evaluation is carried out with the aim of improving the user experience, so that the application can evolve and be easier to use. The method applied in this …
The Internet of Things (IoT) offers numerous benefits but also increases security risks, one of which is Distributed Denial of Service (DDoS) attacks. These attacks can cripple Smarthome systems by flooding the network with excessive data traffic. This research aims to detect DDoS attacks on Smarthome devices using the Convolutional Neural Network (CNN) method. The dataset used was obtained fro…
In the digital era, implementing web-based Customer Relationship Management (CRM) has become an innovative solution to enhance customer service quality. This study aims to implement CRM in the service system of the Regional Drinking Water Company (Perumda) Tirta Musi Palembang to facilitate customers in applying for new water meter installations and submitting complaints online.The research emp…
The development of information technology has changed how organizations, including educational institutions, manage relationships with their customers. SMA PGRI 1 Palembang faces challenges in conventional administrative processes that cause delays, recording errors, and lack of information transparency. This research aims to design and build a student registration and tuition payment website b…
This study aims to compare data from two different sources, namely social media data and data from the Electronic Traffic Law Enforcement (ETLE) system, using the K-Nearest Neighbor method, in terms of the similarity between the actual labels and predicted results. The findings indicate that the similarity between the actual labels and predicted results for social media data reached 87.69%, whi…
Denial of Service attacks are a type of attack that can cripple a network system by flooding the target with a large number of request packets, such as ICMPv6 Flood "Echo Request". This attack is highly effective on IPv6-based networks that use smarthome devices due to the high dependence on the ICMPv6 protocol. The COMNETS Smarthome IPv6 dataset is used in this study, which is the result of si…
The development of technology and the internet has brought significant transformations in various aspects of life, including the video game industry. Digital distribution Platforms such as Steam and Epic Games Store have become the main choices for users to access games practically and efficiently. This study aims to analyze and compare the user experience (UX) on both Platforms using the meCUE…
The development of digital technology has driven the banking sector to introduce mobile banking services in order to improve efficiency and customer satisfaction. BNI, as one of the national banks, launched the Wondr By BNI application to enhance service delivery for its users. This study aims to analyze user satisfaction with the Wondr By BNI application using the End User Computing Satisfacti…
Citra barang buatan Tiongkok sejak lama dikenal negatif di masyarakat, terutama terkait kualitas produk yang dianggap mudah rusak dan kurang tahan lama. Namun, dalam beberapa tahun terakhir, produk otomotif asal Tiongkok mulai memasuki pasar Indonesia dengan inovasi dan harga yang kompetitif, khususnya di segmen kendaraan listrik. Penelitian ini bertujuan untuk menganalisis sentimen masyarakat …
The advancement of technology had led to an increasing variety of attacks or threats targeting internet users. Attacks such as phishing, malware, spyware, and ransomware were the common types that targeted internet users. One of the most effective attack methods at the time was through the use of URLs. A URL (Uniform Resource Locator) was an address used to locate a file on the Internet. This m…
This study aims to analyze the level of user satisfaction with the ShopeePay digital wallet application using the Usability method. This method has five variables to evaluate the level of user satisfaction, namely Learnability, Efficiency, Memorability, Errors, and Satisfaction. Data collected through a questionnaire of 262 data with case study specifications on Sriwijaya University students. T…
The Faculty of Computer Science at Sriwijaya University still employs a semi-digital system for asset management, which is prone to recording errors and lacks transparency. This research aims to develop a blockchain-based campus asset administration system using the Proof-of-Authority (PoA) consensus mechanism to enhance security, efficiency, transparency, and accountability. The methodology us…
Digital transformation and financial inclusion have driven the increased use of digital wallets and online transactions, with PayPal as one of the largest digital payment services. However, user responses to the quality of PayPal's systems and services are still mixed. This study aims to evaluate the user experience of the PayPal application version 8 using the User Experience Questionnaire (UE…
The rapid growth of digital biomedical data has posed significant challenges in managing and extracting information from unstructured medical texts. This study aims to develop and evaluate a Clinical Named Entity Recognition (CNER) model by combining pre-trained word embeddings with deep learning architectures. Three biomedical datasets were used: JNLPBA, NCBI-Disease, and BC2GM. The experiment…
Clinical Named Entity Recognition (CNER) is a critical task in natural language processing (NLP) aimed at extracting medical entities from complex biomedical texts. The main challenges in this task lie in the complexity of sentence structures and the highly variable medical terminology. This study focuses on the development and evaluation of CNER models based on the Transformer architecture, sp…
Named Entity Recognition (NER) is one of the key tasks in natural language processing (NLP), especially within the biomedical domain, which is complex and filled with specific terminologies. This research focuses on the application of a Clinical Named Entity Recognition model to extract biomedical entities from three datasets: BC2GM, JNLPBA, and NCBI-Disease. Several BERT-based model approaches…
PT. Bukit Asam (Persero), Tbk Unit Pelabuhan Tarahan commonly abbreviated PTBA Tarahan is one company that supplies coal to the power plant Tarahan. The process of coal supply PTBA Tarahan this through the facilities of Coal Handling Facility (CHF) such as conveyor transported from the stockpile 3 using a bulldozer. Bulldozer used for transporting is considered less effective because the distan…
PT. Bukit Asam (Persero), Tbk is located in Lawang Kidul, Muara Enim. Mining is operated with open pit mining using backhoe and trucks. Stripping Interburden stripping is use two units of Komatsu backhoe PC2000-8 and hauled using eight units of dump truck HD785-7 towards disposal. Transport distance from loading point to disposal is 1.25 km in fleet 1 and 2. Working fleet backhoe and dump truck…
Cloud Computing, particularly Infrastructure as a Service (IaaS), offers high flexibility, cost efficiency, and scalability in managing computing resources. However, fluctuating demands and dynamic workloads require adaptive management strategies to maintain service quality. This study explores the use of Reinforcement Learning (RL) algorithms, specifically Deep Q-Network (DQN) and Proximal Pol…
Financial transaction fraud can result in devastating consequences for the stability of companies, as well as huge losses for shareholders, the industry, and even the market as a whole. As fraud in financial transactions increases, there is a need for effective methods to accurately detect and prevent fraudulent activities. This study aims to compare the performance of five machine learning mod…
Perumda Tirta Musi merupakan perusahaan daerah yang menyediakan layanan air bersih bagi masyarakat di Kota Palembang dan sekitarnya. Namun, sistem pembayaran yang digunakan saat ini masih di dominasi oleh metode konvensional, seperti pembayaran di kantor cabang atau melalui loket pihak ketiga, yang dinilai kurang efisien. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan merancang…
Perkembangan teknologi informasi telah mendorong transformasi signifikan di sektor keuangan, salah satunya melalui dompet digital seperti DANA. DANA diciptakan untuk memudahkan Semua pembayaran dilakukan secara digital, baik cashless ataupun cardless. Namun kekhawatiran terkait keamanan data pribadi, transaksi, dan integritas sistem, terutama pada transaksi besar sering muncul aksi peretasan da…
Perkembangan teknologi informasi berdampak signifikan pada layanan perbankan, termasuk melalui Mobile Banking (M-Banking). Bank Mandiri meluncurkan aplikasi Livin' by Mandiri sebagai bagian dari transformasi digitalnya. Penelitian ini bertujuan menganalisis faktor-faktor yang memengaruhi penerimaan pengguna aplikasi Livin' by Mandiri dengan menggunakan model Unified Theory of Acceptance and Use…