Jurnal Nasional Teknologi Informasi dan Aplikasinya
JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya), publishes original research in computer science and engineering, covering theory, practice, methodology, and innovations in technology and information systems. It is published quarterly (February, May, August, November) with a double-blind review process.
Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University
Pemodelan Basis Data Penyewaan Motor Listrik Menggunakan ERD, CDM, dan PDM
The development of digital-based transportation technology demands a fast, accurate, and environmentally friendly data management system, particularly in electric motorcycle rental services. However, the complexity of managing operational data regarding fleets, battery conditions, and payment transactions often triggers risks of data redundancy and slow application performance if not supported by a robust database structure. This study aims to design a structured and efficient database architecture for the Electric Motorcycle Rental Information System. The research method was carried out progressively through data modeling phases, including Entity Relationship Diagram (ERD), Conceptual Data Model (CDM), and Physical Data Model (PDM). The results successfully mapped five core system entities: Pelanggan (Customer), Motor_Listrik (Electric Motorcycle), Stasiun (Station), Penyewaan (Rental), and Pembayaran (Payment), which are fully integrated through One-to-Many and One-to-One cardinality rules. The transformation from CDM to PDM generated a production-ready physical database blueprint with specific data types and proper implementation of Primary Key and Foreign Key mechanisms. In conclusion, this database design successfully creates a ready-to-use physical database schema capable of maintaining data integrity and preventing data redundancy to support efficient rental system operations.
Copyright (c) 2026 Rafael Christian Pramuditya, Kenny Tanna Haholongan Pandia, Hafiz Muhammad Shahzaib, Zatin Niqotaini (Author) https://creativecommons.org/licenses/by/4.0
Perancangan Basis Data Sistem Informasi Smart Kos Berbasis ERD, CDM, dan PDM
Manual management of boarding houses remains a widespread problem faced by many boarding house owners in Indonesia. Various issues such as errors in recording tenant data, unmonitored late rent payments, difficulties in monitoring room status, and undocumented facility complaint communications present real challenges in conventional boarding house management. This study aims to design and model a database for the Smart Kos Information System as an integrated digital solution. The design was carried out using Entity Relationship Diagram (ERD), Conceptual Data Model (CDM), and Physical Data Model (PDM) approaches to produce a structured and consistent database model. The designed entities cover tenant data, rooms, rent payments, and facility damage reports.
Copyright (c) 2026 Maulida Nabil Alifah, Kenzia Zahwa Eddyputri, Nabila Najma Zhafirah, Zatin Niqotaini (Author) https://creativecommons.org/licenses/by/4.0
Sistem Informasi Eksekutif Survei Harga Pangan Kabupaten Tabanan Berbasis Web
Food price monitoring plays an important role in supporting food security and maintaining regional economic stability. The Food Security Agency of Tabanan Regency conducts routine surveys of food commodity prices in traditional markets as the basis for policy formulation and decision-making. However, the survey process is still performed manually, resulting in duplicate data entry, longer processing time, a higher risk of human error, and delays in report generation. This study aims to develop a web-based Executive Information System for Food Price Surveys to improve the efficiency of data management and provide strategic information for decision-makers. The system was developed using the Waterfall software development method, which consists of requirement analysis, system design, implementation, testing, and maintenance. The developed system provides features for user registration, authentication, commodity management, food balance management, survey data entry, executive dashboards, and reporting. System functionality was evaluated using the Black Box Testing method on nine main modules. The testing results showed that all modules functioned according to the specified requirements, with success rates ranging from 96% to 100% and an average success rate of 98.56%. These results indicate that the proposed system effectively supports food price survey management, improves the accuracy and efficiency of data processing, and provides timely information to support strategic decision-making within the Food Security Agency of Tabanan Regency.
Copyright (c) 2026 Surya Arnawa Ida Bagus Ketut (Author) https://creativecommons.org/licenses/by/4.0
Pemanfaatan Kecerdasan Buatan untuk Pembelajaran Bahasa Inggris di SD Negeri 5 Ubud
The rapid development of artificial intelligence (AI) has opened new opportunities to improve the quality of English language instruction, particularly at the elementary school level. This research was carried out at Sekolah Dasar Negeri 5 Ubud, Gianyar, Bali, with the aim of exploring the implementation of AI-based tools, including interactive chatbots, pronunciation applications, and adaptive learning software, to support students' English listening, speaking, reading, and writing skills. The program was conducted through focus group discussions, needs analysis, training, and mentoring involving teachers and students. The results show that AI-based media made English lessons more engaging and interactive, allowed students to learn at their own pace, and provided instant feedback that helped them recognize and correct their own mistakes. Teachers also gained new competencies in integrating AI tools into their teaching practice. However, the implementation still faces challenges related to teachers' technological readiness and the availability of adequate internet infrastructure at the school. The outcomes of this program have been disseminated through a national seminar and are being prepared for publication in accredited national journals. This study is expected to serve as a reference for the adoption of AI-based learning media in other elementary schools facing similar challenges in English language instruction.
Copyright (c) 2026 Made Detriasmita Saientisna (Author) https://creativecommons.org/licenses/by/4.0
Perancangan Basis Data Inventaris dan Transaksi pada Reda Printing Berbasis Single Admin
Reda Printing is a printing business that still relies on manual recording for raw material inventory and operational transactions. This condition causes various issues, such as stock mismatches, sudden depletion of production materials, and the absence of a structured transaction track record, which ultimately burdens the management that relies heavily on a single administrator. This study presents the design of an integrated relational database system to address these problems. The design was carried out through three main stages: Entity Relationship Diagram (ERD) for logical modeling, Conceptual Data Model (CDM) as a conceptual representation, and Physical Data Model (PDM) for technical implementation. This system integrates five core entities—Barang, Supplier, Transaksi_Masuk, Order, and Detail_Order—which are implemented into MySQL. The added value of this design is the application of database-level automation using Triggers and Views, which function to update stock automatically and provide early warnings (smart alerts) when stock reaches its minimum limit. The results of this database design are expected to serve as the foundation for developing a reliable, accurate, and efficient operational information system to support Reda Printing's productivity.
Copyright (c) 2026 Andhika Galang Adisaputro, Ignatius Gavrilla Reda, Diaz Kahfi Baldan, Zatin Niqotaini (Author) https://creativecommons.org/licenses/by/4.0
Perancangan dan Pemodelan Basis Data Terintegrasi untuk Sistem Informasi Kursus Bahasa Jepang Online
Digital transformation in the education sector has accelerated the growth of internet-based learning platforms that offer learners greater flexibility in accessing educational content. Among the various foreign language programs available online, Japanese language courses have gained considerable popularity due to their ability to provide unrestricted learning access regardless of location or time. However, course providers frequently encounter significant data governance challenges, including inconsistent record-keeping, data duplication, and the fragmentation of learner information, class schedules, payment transactions, attendance records, assessment results, and certificate issuance across disconnected systems. These issues impede efficient data retrieval and reporting, while reliance on manual recording processes raises the risk of errors and delays. This study focuses on constructing a database architecture for an online Japanese language course information system, with the primary objective of achieving data consolidation and enhancing the quality of operational information management. The modeling approach encompasses three stages: entity mapping through an Entity Relationship Diagram (ERD), conceptual structuring via a Conceptual Data Model (CDM), and physical implementation using a Physical Data Model (PDM), complemented by a visual monitoring dashboard design for administrators. The findings demonstrate that a well-structured and integrated database design successfully consolidates all operational course data into a single centralized repository, substantially reduces data duplication, and streamlines the processes of management, visual monitoring, and information reporting within the online Japanese language course platform.
Copyright (c) 2026 Muhammad Mulia Wahiddin Harahap, Bekti Nur Wicaksono, Rassya Mahesar Arroviq, Zatin Niqotaini (Author) https://creativecommons.org/licenses/by/4.0
Perancangan dan Pemodelan Basis Data untuk Sistem Informasi Manajemen Bengkel Mobil
The development of information technology currently demands efficiency in various industrial sectors, including automotive service businesses such as car repair shops. Most conventional workshops still rely on paper-based manual transaction recording for their daily operations. This unintegrated operational system often triggers major obstacles, such as the risk of losing physical receipts, inaccuracies in tracking spare part stock, and difficulties in compiling monthly revenue reports quickly. This study aims to build a database design model for a Car Workshop Management System capable of automating the business’s daily bookkeeping process. The research method used is descriptive qualitative, focusing on system development through a three-level structured database modeling approach. The results are outlined into three main diagrams: Entity Relationship Diagram (ERD), Conceptual Data Model (CDM), and Physical Data Model (PDM). The database structure is thoroughly designed by integrating admin and report entities, allowing the operational transaction data recapitulation process to generate revenue information automatically and instantly. The implementation of an intermediary table in the form of transaction details proves effective in preventing data redundancy. Overall, this database design is ready to be implemented on a DBMS to improve work efficiency and support workshop managerial decision-making.
Copyright (c) 2026 Zaidan Rasyid Prihantoro, Yohanes Steven Hasiolan, Edwardus Jonathan Imanuel, Zatin Niqotaini (Author) https://creativecommons.org/licenses/by/4.0
Analisis Sentimen Pengguna X dan YouTube Terhadap Carmen Hearts2Hearts Menggunakan Metode IndoBERT
The rapid growth of social media has increased the amount of public opinion expressed online, particularly on platforms such as X and YouTube, where users actively share their views regarding public figures and entertainment topics. This study aims to analyze public sentiment toward Carmen, a member of the K-pop group Hearts2Hearts, using the IndoBERT model for sentiment classification. Data were collected from X and YouTube comments through web scraping techniques and combined into a single dataset to obtain more diverse opinions. The research process involved several stages, including text preprocessing, manual sentiment labeling, dataset splitting, model training, and evaluation. The preprocessing stage consisted of duplicate data removal, case folding, noise removal, tokenization, stopword removal, and stemming to improve data quality before classification. The dataset was categorized into three sentiment classes: positive, neutral, and negative, then divided into training and testing data using an 80:20 ratio. The IndoBERT model was trained using transformer-based deep learning to understand the context of Indonesian-language text more effectively. Evaluation results showed that the model achieved an accuracy of 72.41%, precision of 75.82%, recall of 72.41%, and F1-score of 71.15%, indicating that IndoBERT performs effectively in classifying sentiment on Indonesian social media data despite challenges such as informal language and ambiguous expressions.
Copyright (c) 2026 Fellycia Caroline, Syalsabilla Valentisyesa, Rizky Pribadi (Author) https://creativecommons.org/licenses/by/4.0
Rancang Model Ontologi untuk Representasi Pengetahuan Tari Tradisional Indonesia
Indonesia is the largest archipelagic country in the world with more than 17,000 islands inhabited by approximately 255 million people, a figure that makes Indonesia the fourth most populous country in the world. This implies that there is a lot of cultural diversity in Indonesia, one of which is traditional dance. Traditional dances in various regions in Indonesia are certainly different and have their own characteristics, so they need to be well documented. The ontology knowledge base is an appropriate method used to represent information. In this project, the ontology model was built using the Protégé ontology development tool. We use the method of methontology in the development of the ontology model where this method describes each step-in detail. The ontology model built has 11 classes, 5 object properties, 8 data properties, and 72 individuals. We focus on describing the types of traditional dances from various regions in Indonesia. The testing process in the development of the ontology model by performing SPARQL queries.
Copyright (c) 2026 Sang Putu Febri Wira Pratama (Author) https://creativecommons.org/licenses/by/4.0
Perancangan User Interface dan User Experience pada Aplikasi Pencari Indekos
This study aims to design a website-based user interface and user experience. Where it is, proportional to the increase in the number of purchases of existing motorcycles. The website that has been made was tested on the General Public with a total of 20 respondents. To find out the level of satisfaction of respondents in using the motorcycle recommendation website, usability testing was carried out using the system usability scale method. This method measures the usability of a computer system according to the user's subjective point of view by filling out a Likert-scale questionnaire. The website that has been made is tested on the General Public. To find out the level of satisfaction of respondents in using the motorcycle recommendation website, usability testing was carried out using the system usability scale method. This method measures the usability of a computer system according to the user's subjective point of view by filling out a Likert-scale questionnaire.
Copyright (c) 2026 Gusto Gibeon Ginting, I Gusti Ngurah Anom Cahyadi Putra (Author) https://creativecommons.org/licenses/by/4.0
Prediksi Paket Return Menggunakan Metode Decision Tree Menerapkan Algoritma C4.5 Berbasis Website
The development of e-commerce technology has provided significant benefits in facilitating online transactions. However, one of the problems that is often faced by e-commerce companies is the management of return packages, where customers return goods that have been purchased. In order to optimize the package return management process, an effective prediction method is needed to estimate the possibility of returning packages by customers. With a website-based package return prediction system, e-commerce companies can take appropriate actions to manage return packages more efficiently. For example, they can adjust their inventory strategy, improve product quality, or provide special promotional offers to customers who have a high probability of returning packages. This can help increase customer satisfaction, reduce the cost of managing return packages, and increase the overall operational efficiency of the company.
Copyright (c) 2026 Oskar Maha Kasi, Agus Muliantara (Author) https://creativecommons.org/licenses/by/4.0
Isolation Forest dengan Exploratory Data Analysis pada Anomaly Detection untuk Data Transaksi
Managing value of data is one of the key aspects of presenting analysis for decision making support in various cases. One of such method is by managing detecting anomaly in the data. This research focuses on implementing Isolation Forest result of anomaly detection. This method is used on transaction dataset from Kaggle with about more than 500.000 records. The result this research shows that Isolation Forest used in the dataset have 0.899 in accuracy, 0.00649 in precision, 0.504 in recall, and 0.013 in F1 score.
Copyright (c) 2026 I Made Sudarsana Taksa Wibawa, Anak Agung Istri Ngurah Eka Karyawati (Author) https://creativecommons.org/licenses/by/4.0
Perancangan Antar Muka Wearable Sistem Bagi Atlet
Technological developments have had a huge impact on various areas of life, including the world of sports. Today, athletes are leveraging various technologies to improve their performance and gain a better competitive advantage. Athletes must comply with the rules of the game and comply with the rules and regulations that apply to their game. hours of sleep is one of the most important factors in maintaining the stamina of athletes, according to the coach's directions. This study aims to make it easier for coaches to monitor the sleep hours of athletes being mentored. In order to improve the athlete's heart rate monitoring, an application was formed in the form of a prototype. The method used in this study is the mid-fidelity prototype which is the development of a prototype design model. Mid-fidelity prototype is a method for initial design, for purposes after detailed design and usability validation.
Copyright (c) 2026 Ni Wayan Sani Utari Dewi, Cokorda Pramartha (Author) https://creativecommons.org/licenses/by/4.0
Implementasi Algoritma KNN Untuk Memprediksi Performa Siswa Sekolah
One of the factors that influences students graduation rates is their performance in learning. Predicting graduation rates based on student performance has the benefit of analyzing academically underperforming students and providing support to students who face difficulties in the learning process. There are several factors to consider in predicting students' graduation rates, such as academic grades, attitudes, and social factors. However, these factors alone are not sufficient to effectively predict students' performance, and educators also struggle to identify which factors affect students' performance.To predict the performance of school students, the KNearest Neighbor (KNN) method is utilized. The K-Nearest Neighbor method is often used in classifying students' performance due to its simplicity and ability to produce significant and competitive results. In this research, the prediction of students' graduation rates is carried out using the KNN method.The results of implementing the prediction of students' performance using the KNN method can serve as a reference for students to improve their achievements and assist educators in considering future teaching materials.
Copyright (c) 2026 I Made Ryan Prana Dhita, Gst. Ayu Vida Mastrika Giri (Author) https://creativecommons.org/licenses/by/4.0
Penerapan RMS Contrast sebagai Penentu Citra Terbaik Berdasarkan Tingkat Kontras
This research centers on the objective of identifying the finest image from a burst shot through the utilization of Root Mean Square (RMS) contrast as a guiding metric. The primary focus lies in selecting the visually captivating image by assessing the contrast levels present in each individual shot. By conducting calculations of the RMS contrast values, the optimal image can be determined. The core purpose of this study is to employ RMS contrast as a reliable criterion for selecting the most outstanding image from a burst shot, thereby guaranteeing the production of high-quality visuals, and aiding in the organization and decluttering of smartphone galleries. This research holds significance in addressing the growing need for efficient and effective image selection methods, ensuring that users can effortlessly identify and showcase the best images captured in burst mode. By embracing the power of RMS contrast analysis, individuals can confidently curate their image collections with exceptional visual content while optimizing limited storage space on their smartphones.
Copyright (c) 2026 Shiennyta Florensia Adiriyanto, I Gede Arta Wibawa (Author) https://creativecommons.org/licenses/by/4.0
Pengujian Fungsionalitas Sistem Pengamanan Digital Watermarking Kartu Indonesia Sehat Menggunakan Algoritma MSB
The rapid development of technology makes the dissemination of information also develop, and the use of digital data is increasingly used even in the health sector, one of which is when registering at health institutions online so that when registering it is necessary to scan the Healthy Indonesia Card to register. Sometimes there are onkuns who are not responsible for misusing it to do evil things, so based on these problems, the Healthy Indonesia Card (KIS) that will be used should be inserted with a watermark to minimize unwanted events. Watermark is a method of inserting information into digital data that aims to protect data ownership. One technique that can be used is the steganography technique, which uses the MSB (Most Significant Bit) algorithm. The length of time it takes to insert a watermark on a Healthy Indonesia Card (KIS) depends on how much text will be inserted to become a watermark.
Copyright (c) 2026 Ni Putu Intan Cahyani, I Gede Santi Astawa (Author) https://creativecommons.org/licenses/by/4.0
Implementasi Sistem Monitoring pada Bunga Anggrek Menggunakan Arduino dengan Aplikasi Berbasis Website
This article will focus on implementing an orchid plant monitoring system using Arduino in a webbased application. The purpose of this system is to monitor important environmental parameters such as temperature, humidity and soil moisture in real time. By collecting data from orchid plants using sensors, the system enables continuous measurement and analysis of these parameters. Collected data is processed and stored by the Arduino, which acts as the central control unit. A web-based application serves as the user interface, allowing remote access and visualization of monitoring data. Implementation of this system provides a practical solution for improving orchid cultivation through accurate and easily accessible monitoring of key parameters. This allows researchers and hobbyists to closely monitor growing conditions and make informed decisions based on the data collected. By maintaining optimal environmental conditions, the system contributes to improved growth, increased yields and successful cultivation of orchid plants. The combination of an Arduino and a web-based application provides an efficient and easy-to-use solution for orchid plant monitoring and management for better results in your orchid cultivation practice.
Copyright (c) 2026 Gede Krisnawa Sandhya Wandhana, I Gusti Agung Gede Arya Kadyanan (Author) https://creativecommons.org/licenses/by/4.0
Analisis Performa Sistem pada Pemisahan Database Analitik dengan Transaksional
The speed and efficiency of a system currently has a very important role. Currently there are several solutions to answer these challenges, one of which is to separate the database on the system. In this study, an analysis was carried out on the separation of databases on a transactional and analytic system. Analysis is carried out with a research flow that begins with problem identification followed by sampling data on technology companies that have transactional systems, then implementing transactional and analytical programs on microservices architecture, conducting tests with Load-Testing, followed by analysis of test results, and then drawing conclusions. After conducting research in accordance with the research flow, it was concluded that the separation of databases on transactional and analytic systems is better for producing faster system performance compared to transactional and analytic systems using the same database.
Copyright (c) 2026 I Made Ari Madya Santosa, I Gusti Ngurah Anom Cahyadi Putra (Author) https://creativecommons.org/licenses/by/4.0
Analisis Performa WriteRead Kompresi Delta Encoding pada Data Logging Menggunakan Go Benchmark
Compression for data logging in environmental health monitoring is a serious concern. Recording of environmental health history is carried out by monitoring the fluctuations of the physical parameters. The record stored in a warehouse from the logging system will increase over time. So, that’s the reason why compression on time-series data logging is needed. But, the addition of compression algorithm like delta encoding allows for increased latency. Therefore, the performance of write/read of delta encoding must be analyzed. One method to analyze is the Go Benchmark. The test parameter used in this paper is the number of iterations and times per iteration taken from the Go Benchmark’s output. The other test parameter is compression ratio and storage saving taken from the size of data before and after compression. There are 4 tests case used: single data write, single data read, multiple data write, and multiple data read. As the result, single data write/read and multiple data read work optimally in delta compression with the similar test result with baseline. But multiple data write not working optimally with times per iteration 10,254 times higher than baseline.
Copyright (c) 2026 I Putu Gede Mahardika Adi Putra, I Ketut Gede Suhartana (Author) https://creativecommons.org/licenses/by/4.0
Purwarupa Perangkat Monitoring Ketinggian Air Tandon Menggunakan TinkerCAD
Along with population growth and urban development, the demand for clean water is increasing. Water reservoirs are an effective solution to this problem, by storing large amounts of water in specially designed tanks. Water reservoirs are one of the important components in the household water supply system. This study aims to make it easier for users to monitor the condition of the water in the reservoir. The tools used are Arduino uno R3, green LED, yellow LED, red LED, ultrasonic distance sensor, DC motor, piezo, push button, and h-bridge motor driver. This system is designed using the prototype method, so that users can easily see real-time water levels via mobile devices.
Copyright (c) 2026 I Kadek Widiarthawan, I Komang Ari Mogi (Author) https://creativecommons.org/licenses/by/4.0
Pengenkripsian dan Dekripsi Gambar Menggunakan Algoritma AES dengan MAC untuk Peningkatan Keamanan
With the increasing importance of data security in digital image transmission and storage, this research presents an implementation of an image encryption and decryption program using the Advanced Encryption Standard (AES) algorithm combined with Message Authentication Code (MAC) for enhanced security. The program utilizes AES in Cipher Block Chaining (CBC) mode to ensure confidentiality and integrity of the image data. The unique key and initialization vector (IV) enhance the security of the encryption process. Additionally, the inclusion of MAC ensures data integrity and prevents unauthorized modifications during transmission or storage. The program offers a user-friendly web-based interface for easy usability. The implemented solution provides a high level of security for image data and can be applied in various applications requiring secure image transmission and storage. The effectiveness and reliability of the program are demonstrated through experimental results and evaluation.
Copyright (c) 2026 Ni Wayan Amanda Putri Astawa, I Made Widiartha (Author) https://creativecommons.org/licenses/by/4.0
Analisa UI dalam Perancangan Aplikasi Ekspor Hasil Laut “FishGo!” dengan Metode SUS
This research discusses the development of the Fish Go! application, which aims to facilitate fishermen in finding market opportunities, particularly within the business sector. The author identifies several challenges faced by fishermen in terms of marketing and selling their catch. Additionally, there are opportunities to meet the demand for marine products in the tourism sector in Indonesia. The Fish Go! application seeks to integrate fishermen and the business sector into a single digital platform, with the goal of expanding the fishermen's market reach and providing convenience for buyers in obtaining fresh and high-quality seafood. This research involves a literature study to gain a deeper understanding of application interface analysis and usability in general. The User Journey Map method is used to identify the problems faced by potential users of the Fish Go! application. The usability testing phase is conducted using the System Usability Scale (SUS) method, involving the distribution of questionnaires to 20 respondents. The quantitative data obtained from the SUS scores indicate that the Fish Go! application has a good level of usability and is suitable for further development, with an average SUS score of 84, exceeding the average threshold for usability testing. The results of this research show that the Fish Go! application has the potential to support partnerships between fishermen and the business sector in utilizing marine resources in Indonesia. By leveraging technology and digital platforms, it is expected to improve efficiency and provide broader market opportunities for fishermen, while also meeting the demand of the business sector for fresh and high-quality seafood.
Copyright (c) 2026 Ketut Agus Cahyadi Nanda, I Putu Gede Hendra Suputra (Author) https://creativecommons.org/licenses/by/4.0
Sistem Informasi Prediksi Penjualan E-Commerce Menggunakan Analisis Data Historis dan Algoritma MLR
Accurate sales to improve business planning and decision making. This study aims to design an information system that utilizes historical data and multiple linear regression algorithms to predict e-commerce sales. This study addresses the current challenges in forecasting uncertain sales by analyzing historical sales data and identifying relevant independent variables, such as marketing efforts, economic factors, and customer behavior. Through the implementation of a multiple linear regression algorithm, the system calculates the relationship between these variables and sales, enabling accurate predictions. The proposed information system provides valuable insights for businesses to optimize inventory management, marketing strategy and resource allocation. The experimental results show the effectiveness of the system in forecasting e-commerce sales, resulting in increased operational efficiency and revenue. This research contributes to the field of e-commerce analytics and assists businesses in making data-driven decisions for sustainable growth.
Copyright (c) 2026 I Gusti Putu Wisnu Wardhana, I Wayan Santiyasa (Author) https://creativecommons.org/licenses/by/4.0
Analisa Sistem Rekomendasi Konten Youtube Berdasarkan Durasi Menonton Menggunakan Content-Based Filtering
In today's era, the internet is a facility in social life that causes phobias, complete and necessary information is difficult to obtain again. However, how YouTube provides consistently using an algorithm designed for YouTube content recommendations which is an online video media can witness important moments instantly to individuals who are not on television media so that all users can get useful information and entertainment from website media. For some reason Youtube is used as social media with the highest user level from Instagram. Therefore, we make an experiment to categorize the right content to be a crucial factor in producing accurate and meaningful recommendations. In a system analysis, it recommends content on Youtube based on individual categories using the basic concept of the content based filtering algorithm and how it is implemented in the context of YouTube. The model training is carried out using the cosine similarity method which aims to compare the similarity between the contents of these representations. Evaluation of the model can provide insight into how effective the algorithm is in producing relevant recommendations. The steps in the recommendation system analysis are literature study, data collection, model training, and model evaluation by increasing understanding of content-based filtering algorithms.
Copyright (c) 2026 I Gede Ngurah Wahyu Ananta, I Wayan Supriana (Author) https://creativecommons.org/licenses/by/4.0
Perhitungan Nilai Besaran Fisis Mammografi Jenis Histopatologi IDC dan ILC
In this study, the main objective was to calculate the range of physical values contained in mammography X-ray images and determine the physical quantities that are significant in differentiating between the histopathological types of ILC (Invasive Lobular Carcinoma) and IDC (Invasive Ductal Carcinoma). The research method involved collecting data from 152 mammograms consisting of 7 ILCs and 145 IDCs from doctor Sutomo Surabaya's radiology database. The range of physical values such as entropy, contrast, second angular moment, differential invest moment, mean, deviation, entropy of Hdiff, angular moment of Hdiff, and mean of Hdiff are calculated and compared between ILC and IDC using the Anova statistical test. The results showed that there were differences in the range of physical quantity values between ILC and IDC. Significant parameters in differentiating the two types of histopathology are mean1, mean2, mean3, and mean4. In conclusion, IDC has a higher peak than ILC, and the range of ILC physical quantities is higher than IDC.
Copyright (c) 2026 Anak Agung Ngurah Frady Cakranegara, Ida Ayu Gde Suwiprabayanti Putra (Author) https://creativecommons.org/licenses/by/4.0
Uji Performansi Algoritma LR dan RFR pada Implementasi Sistem Prediksi Harga Rumah
Currently the house has become one of the needs that must be met. The price of a house is the main parameter that determines whether a person or organization buys or invests. In general, house prices are influenced by several factors, including building area, land area, number of bedrooms, number of bathrooms and number of garages. Currently, there are many websites devoted to providing information about buying and selling houses. This of course makes it easier for someone when looking for a house with the desired specifications without the need to come directly to the location. However, the house buying and selling platform does not provide a house price prediction feature that is in accordance with user specifications. This means someone who is planning to buy a house does not get an initial idea of the costs that must be spent to own the desired home. Therefore, in this study, researchers will design a web app-based house price prediction system that can make it easier for users to get predictions of the desired house price. In this study the prediction algorithms to be used are linear regression and random forest. Both algorithms will be analyzed for their performance and then the algorithm with the best level of accuracy will be applied as a predictive model which will be integrated with the user interface display.
Copyright (c) 2026 I Putu Teddy Dharma Wijaya, Ida Bagus Dwidasmara (Author) https://creativecommons.org/licenses/by/4.0
Perancangan Ontologi Semantik Representasi Digital Oleh - Oleh Khas Bali
Bali Island, also known as the Island of the Gods, is a popular tourist destination for those who want to enjoy its breathtaking natural beauty. However, many tourists face difficulties in finding authentic Balinese souvenirs to bring back home. To address this issue, a system is needed to assist tourists in easily and quickly finding information about unique Balinese souvenirs using ontology, a semantic web knowledge base. The semantic web is a website development approach aimed at automation and understanding the meaning and relationships of data, resulting in a web experience tailored to visitors' preferences. This research aims to develop an ontology model to be used in the domain of Balinese souvenirs. The ontology design is developed using the Protégé application, where the ontology model is structured with hierarchical classes, slots, properties, and other elements. It is expected that this ontology model will provide information related to semantic web-based application metadata pertaining to Balinese souvenirs.
Copyright (c) 2026 Ngakan Made Alit Wiradhanta, Ida Bagus Made Mahendra (Author) https://creativecommons.org/licenses/by/4.0
Klasifikasi Genre Musik Menggunakan Support Vector Machine Berdasarkan Spectral Features
This research focuses on music genre classification based on spectral features and SupportVector Machine (SVM). Features such as Spectral Centroid, Spectral Rolloff, Spectral Flux, and Spectral Bandwidth are extracted from MP3 music audio. The dataset comprising 4 music genres is utilized for training and testing the system. The extracted spectral features are fed into the SVM classifier to predict the genre of test samples. Python and machine learning are both used in developing the system while the experimental results demonstrate the effectiveness of SVM in accurately classifying music genres based on the current extracted features. The proposed approach contributes to automated music genre classification systems, facilitating music organization, recommendation, and retrieval. This research promotes advancements in music information retrieval and enhances user experience in music-related applications.
Copyright (c) 2026 I Gusti Agung Ngurah Diputra Wiraguna, Luh Arida Ayu Rahning Putri (Author) https://creativecommons.org/licenses/by/4.0
Analisis Performa Algoritma K-Nearest Neighbor dalam Klasifikasi Tingkat Kerontokan Rambut
Hair loss can lead to baldness and affect one's self-confidence. Normally, hair falls out in 80-120 strands per day, and the average number of hair follicles on the head is around 100,000. If the amount is reduced by 50%, it can be considered a disorder. Therefore, a classification of hair loss levels is necessary to determine appropriate actions. Previous study has shown that the KNearest Neighbor algorithm is capable of classifying various diseases. In this study, the Luke Hair Loss Dataset from the website kaggle.com, consisting of 400 data points, was used. To evaluate the method's feasibility, a confusion matrix was employed. The objective of this research is to analyze the performance of the K-Nearest Neighbor algorithm. Several scenarios were utilized, including testing the model before and after SMOTE oversampling, testing before and after data normalization, testing based on different K values, and testing with varying ratios of training and testing data. The results of this study indicate that the K-Nearest Neighbor algorithm achieved the highest accuracy value of 0,9853, precision of 0,9886, recall of 0,9833, and f1-score of 0,9856.
Copyright (c) 2026 Gede Dikka Widya Prana, Luh Gede Astuti (Author) https://creativecommons.org/licenses/by/4.0
Analisis Sentimen Gambar pada Media Sosial dengan Pendekatan Deep Learning
Sentiment analysis of images on social media using a deep learning approach is an interesting research topic in the field of artificial intelligence. It involves data collection, training deep neural network models, testing and evaluation, and application and analysis on social media. The results of this analysis provide valuable insights to users in understanding user responses to content, detecting evolving sentiment trends, and providing important insights for business purposes and decision-making. Deep learning offers a strong and effective method for understanding emotional expressions within images shared on social media platforms.
Copyright (c) 2026 Ronaldito Juan Bantaras T., Made Agung Raharja (Author) https://creativecommons.org/licenses/by/4.0