KNOWLEDGE DISCOVERY PADA CHURN PELANGGAN E-COMMERCE MENGGUNAKAN INTERPRETABLE…

Customer churn remains a major challenge in the e-commerce industry as it directly impacts revenue and long-term customer value. This study applies an interpretable machine learning approach to not only predict churn but also identify the key factors influencing it. The analysis uses a publicly available dataset containing customer behavior and transaction records, with data preparation steps i…

ASPECT-BASED SENTIMENT ANALYSIS DAN KNOWLEDGE EXTRACTION UNTUK EVALUASI PERSE…

The rapid growth of digital wallet usage in Indonesia has raised concerns regarding user security and account protection. This study evaluates user sentiment related to the security features of the DANA digital wallet by applying Aspect Sentiment Classification (ASC), a subtask of Aspect-Based Sentiment Analysis (ABSA). A total of 4,846 security-related reviews were collected using keyword-base…

KLASIFIKASI PENYAKIT MATA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) : PE…

This study examines the use of the Convolutional Neural Network (CNN) algorithm for eye disease classification based on retinal images. The research methodology involves collecting a dataset from the Kaggle website, named eye_disease_classification, which includes four main categories: normal, cataract, diabetic retinopathy, and glaucoma, with a total of 4,233 images before augmentation. The da…

ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X TERHADAP FILM SORE: ISTRI DARI MASA…

Indonesia’s film industry is rapidly expanding with diverse genres and new titles, creating a need for fast, data-driven mapping of audience sentiment. This study maps social media X users’ sentiment toward the film “Sore: Istri dari Masa Depan,” which carries an unconventional theme, while addressing limited manual labels on short and noise tweets. Support Vector Machine (SVM) is selec…

PENILAIAN TINGKAT KAPABILITAS TATA KELOLA APLIKASI SIAP KOJA BERDASARKAN FRAM…

This study assesses the IT governance capability of the SIAP KOJA application at the Jambi City Department of Communication and Informatics (Diskominfo). SIAP KOJA was introduced to strengthen attendance discipline, transparency, and accountability through geofencing and biometric features. Using the COBIT 2019 framework, the assessment aligns IT processes with institutional objectives and focu…

KNOWLEDGE DISCOVERY: ANALISIS SENTIMEN DAN EMOSI WHATSAPP BUSINESS DENGAN MAC…

WhatsApp Business is one of the platforms that provides direct, fast, and efficient business communication services. This research was conducted to evaluate user perceptions of WhatsApp Business thru an in-depth sentiment analysis and emotion classification approach applied to user reviews. The data used consisted of 3,000 reviews collected thru scraping techniques, which were then processed th…

KNOWLEDGE DISCOVERY MENGGUNAKAN ANALISIS SENTIMEN DAN PEMODELAN TOPIK PADA UL…

The rapid growth of mobile banking in Indonesia underscores the need for secure and innovative digital financial services. However, studies that compare user experiences across multiple applications within the same bank remain limited. To address this research gap, we analyze BCA’s two primary applications, BCA Mobile and myBCA, which serve millions of users in Indonesia. Data collected from …

KNOWLEDGE DISCOVERY MELALUI ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN PENG…

BYOND by BSI is the latest application developed from BSI Mobile by Bank Syariah Indonesia as part of its digital banking transformation. The quality of this application can be evaluated through user reviews on the Google Play Store; however, the large volume of reviews creates challenges in extracting meaningful information. This study applies an Aspect-Based Sentiment Analysis (ABSA) approach…

PERSEPSI KEMACETAN LALU LINTAS DI KOTA PALEMBANG BERDASARKAN ANALISIS SENTIME…

Traffic congestion in Palembang City is a frequent problem that impacts community activities and productivity. This study aims to analyze public perceptions of traffic congestion in Palembang City through sentiment analysis on Facebook social media using the Decision Tree Algorithm. Data were collected through web scraping techniques on public comments related to text data traffic over a 32-mon…

EVALUASI KETERLIBATAN MASYARAKAT DI YOUTUBE PEMERINTAH : DURASI, JUDUL DIALOG…

Dalam era digital yang semakin canggih, keterlibatan masyarakat di media sosial pemerintah menjadi sangat penting. Tingkat kepercayaan masyarakat terhadap pemerintah memengaruhi partisipasi mereka, di mana kepercayaan yang rendah dapat mengakibatkan penurunan partisipasi dan keengganan untuk menerima informasi dari pemerintah. Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang mempe…

SIMULASI DETEKSI PELANGGARAN PENGGUNAAN HELM DAN KECEPATAN KENDARAAN MENGGUNA…

This research will focus on developing and testing a helmet violation and vehicle speed detection system based on the YOLO algorithm and classification using a Convolutional Neural Network (CNN). The purpose of writing this thesis is to implement the YOLOv8 algorithm for Detecting Helmet Violations and Vehicle Speed, calculating the accuracy level of the detection system using You Only Look Onc…

DETEKSI PELANGGARAN DAN KECEPATAN KENDARAAN MENGGUNAKAN YOLO DAN ALGORITMA DE…

The purpose of this research is to create a detection system for violations of not using helmets and speed limit violations at several road points in Palembang City. This research uses YOLOv8 combined with Deepsort to detect the number of vehicles, especially the class of motorcycles not using helmets and speed detection. As a result, the accuracy of detection of violations not using helmets re…

STRATEGI PENGEMBANGAN DAN POTENSI EKOSISTEM MANGROVE PULAU PASIR TIMBUL, DESA…

Ecotourism is an activity that links tourism activities with aspects of nature conservation, socio-cultural economy and aspects of learning and education. Ecotourism is derived from the term ecotourism which means ecological tourism. From this, ecotourism is a form of tourist travel to natural areas that is carried out with the aim of conserving the environment and preserving the lives and welf…

ANALISIS SENTIMEN BERBASIS ASPEK TERHADAP TAMAN WISATA ALAM PUNTI KAYU BERDAS…

Tourism as one of the sectors that contribute to economic growth in Indonesia requires special attention to be continuously evaluated. Traveler reviews on social media such as Google Maps can be used to evaluate the quality of tourist attractions. This research focuses on conducting an aspect-based sentiment analysis of one of the tourist attractions in Palembang, namely Punti Kayu Nature Park …

PERANCANGAN ARSITEKTUR MICROSERVICE UUNTUK SISTEM INFORMASI PERUSAHAAN ACADEM…

PT XYZ Academy is an information technology education and training institution in Indonesia under PT XYZ Group. It focuses on the growing need for skilled workers in the IT sector through various training and certification programs in areas such as software development, computer networking, information security, and system administration. Even so, PT XYZ Academy's website, which uses a monolith…

FAKTOR-FAKTOR YANG MEMENGARUHI HANTARAN SARAF PERIFER PADA ANAK DIABETES MELL…

Contributing Factors to Peripheral Nerve Conduction in Children with Type 1 Diabetes Background: (T1DM) in children results from autoimmune destruction of pancreatic β-cells, leading to absolute insulin deficiency and chronic hyperglycemia. This condition poses a risk for long-term complications, including diabetic peripheral neuropathy, which may affect sensory, motor, or autonomic nerves and…

FAKTOR RISIKO GANGGUAN PERILAKU PADA ANAK DENGAN DIABETES MELITUS TIPE-1

Anak dengan diabetes melitus tipe 1 (DMT1) memiliki risiko lebih tinggi mengalami gangguan perilaku akibat beban penyakit kronis yang dialaminya. Gangguan ini dapat memengaruhi perkembangan sosial, prestasi akademik, dan kualitas hidup secara keseluruhan. Penelitian ini bertujuan mengetahui prevalensi dan faktor risiko gangguan perilaku pada anak dengan DMT1. Penelitian observasional analitik d…

KNOWLEDGE DISCOVERY BERBASIS TOPIC MINING TERHADAP KEBUTUHAN INFORMASI KESEHA…

Understanding the user’s need for health information has become increasingly important as the use of digital health services has grown. However, the unstructured data of user-generated questions presents challenges in capturing and analyzing these needs. This study contributes to addressing SDG 3 (Good Health and Well-Being) by using topic mining-based knowledge discovery to identify the main…

ANALISIS KEPUASAN PENGGUNA PADA PLATFORM E-HEALTH MENGGUNAKAN ENSEMBLE LEARNI…

The SATUSEHAT application, developed by Indonesia’s Ministry of Health, is a vital digital public service that combines health and technology to promote national development. To assess its impact, this study evaluates public satisfaction with SATUSEHAT by analyzing over 30,000 user feedback from the Google Play Store. Specifically, the research seeks to compare the effectiveness of single and…

IMPLEMENTASI ALGORITMA REGRESI LINEAR UNTUK MEMPREDIKSI PENJUALAN MOTOR DOMES…

Motorcycle sales in Indonesia continue to fluctuate in both domestic and export markets, creating the need for sales prediction to support decision-making in the automotive industry. This study aims to predict domestic and export motorcycle sales using the linear regression algorithm supported by the RapidMiner application. The data were obtained from the Indonesian Motorcycle Industry Associat…

PREDIKSI MORTALITAS PADA PASIEN INSTALASI PERAWATAN INTENSIF MENGGUNAKAN DEEP…

Mortality prediction for patients in intensive care units (ICUs) is crucial for care planning, resource allocation, and timely medical decision-making. To enhance the accuracy of these predictions, artificial intelligence (AI) technology has shown promising results. This study aims to develop deep learning methods to improve the accuracy of mortality predictions for ICU patients, addressing mis…

KEDUDUKAN PANITERA PENGGANTI DALAM SISTEM KEPEGAWAIAN DI MAHKAMAH AGUNG RI: L…

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MODEL ANALISIS SPEKTRAL CAMPURAN DAN PENDEKATAN CONVOLUTIONAL NEURAL NETWORK …

Water is very important for living creatures and good water quality is one of the pillars of the 17 Pillars of Sustainable Development Goals (SDGs) set by the United Nation. One way to provide an overview of the quality of a water body is to provide an index, which is generally known as the Water Quality Index (WQI). The Water Quality Index has been applied to categorize water quality, namely v…

SISTEM REKOMENDASI JURUSAN KULIAH SISWA SMA BERDASARKAN NILAI RAPOR DENGAN AL…

The determination of study programs for college is an essential for high school students who choose to pursue their studies. The aim of this research is to develop a web application-based college major recommendation system. This research applies a system design and development methodology using the Waterfall model approach. The data used is primary data which contains student report card score…

ANALISIS PENGARUH FAKTOR 4C (CONTEXT, COMMUNACATION, COLLABORATION DAN CONNEC…

The development of social media has encouraged educational institutions to utilize it as a means of attracting prospective students’ interest. Yayasan Pondok Pesantren Ahlul Quro Rantau Harapan has used social media as a promotional medium; however, its effectiveness in increasing prospective students’ interest needs to be empirically analyzed. Therefore, this study aims to analyze the infl…

PENERAPAN ROBOT BAWAH AIR UNTUK MENENTUKAN KUALITAS AIR MENGGUNAKAN METODE FU…

his research aims to develop and implement an underwater robot for water quality monitoring using the Mamdani Fuzzy Logic method. The background of this research is the need for technology capable of efficiently and accurately monitoring water quality, especially in areas that are difficult for humans to reach. Water is one of the most crucial natural resources for life, but its quality is ofte…

DELINEASI 12 - LEAD SINYAL ELECTROCARDIOGRAM BERBASIS DEEP LEARNING UNTUK PEN…

Interpretation of electrocardiogram signal waves is one of the crucial steps to diagnose heart disease. The use of deep learning that has been proven to be able to run feature extraction will be used in this study which aims to facilitate the delineation process of electrocardiogram signal waves. The use of CNN-BiGRU and CNN-BiLSTM architecture to perform delineation on the Lobachevsky Universi…

PENGEMBANGAN VIDEO PROFIL SEBAGAI MEDIA PROMOSI PADA RUMAH TAHFIDZ AMANAH

The purpose of this research is to design and develop a profile video as a promotional media at Rumah Tahfidz Amanah. The background of this research is the lack of interactive and interesting means to introduce the profile thoroughly. The development of this profile video is expected to make it easier for Rumah Tahfidz Amanah to introduce and promote the potential and advantages that exist to …

SIMULASI METODE BLOCKCHAIN DENGAN ALGORITMA KONSENSUS PROOF OF WORK (POW) UNT…

Blockchain is a collection of blocks arranged sequentially and starting with the first block called the “Genesis Block”, where these blocks are able to store data containing transactions that have been carried out previously. Blockchain is widely used in other fields, one example of which is supply chain management. The algorithm in this research uses proof of work where nodes solve mathema…

KLASIFIKASI ARITMIA PADA SINYAL FETAL ECG BERBASIS DEEP LEARNING

Fetal Electrocardiogram (ECG) is a type of signal that reflects the electrophysiological activity of the fetal heart. The non-invasive abdominal electrode method is employed to obtain fetal EKG signals. Classification was conducted between normal and arrhythmia categories using two main approaches, which are autoencoder-Deep Neural Network (DNN) and Convolutional Neural Network (CNN). The autoe…