Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

Perbandingan Prediksi terhadap Peningkatan Jumlah Pelanggan Iconnet dengan Algoritma Regresi Linear dan Random Forest pada Wilayah Jabodetabek dan Banten

2024-12-20T11:05:06+07:00

This study compares the linear regression and random forest algorithms in predicting the number of Iconnet service customers in the Jabodetabek and Banten regions. The dataset comprises two years of sales data processed through filtering, cleaning, and labeling. Evaluation metrics include MAE, MAPE, and RMSE. The results show that linear regression performs better in predicting customer numbers, achieving MAE 369.85, MAPE 8.80%, and RMSE 388.89, compared to random forest with MAE 679.37, MAPE 16.95%, and RMSE 794.26. Conversely, random forest outperforms linear regression in bandwidth prediction (MAE 733.80, MAPE 26.61%, RMSE 860.20) and regional prediction (MAE 25607.49, MAPE 23.42%, RMSE 38177.12), as linear regression produces higher errors. The findings highlight the importance of selecting algorithms based on data characteristics and application needs. This research provides strategic insights for developing data-driven customer service solutions.

Prediksi Potensi Suatu Wilayah Menggunakan Machine Learning

2024-12-17T17:08:29+07:00

Electricity has become a basic need for some human beings because all activities are almost related to electricity. Indonesia has several power plant projects and the largest power plant is generated from PLTU which can have an impact that we feel is greenhouse gas emissions and bad air pollution and also relies heavily on coal while the natural resources are not renewable with this fact if we reduce the use of coal it will be a boomerang for Indonesia itself. This research aims to predict areas that can potentially become Solar Power Plants with a machine learning regression model approach. So hopefully this research can be a reference in the development of Solar Power Plants in Indonesia. The methods used are Linear Regression (LR), Lasso Regression (LR), Ridge Regression (RR), and Support Vector Regression (SVR). The R2 coefficients for solar radiation were 0.924; 0.910; 0.917; 0.949; and 0.987, respectively.

Perancangan Arsitektur Enterprise TOGAF Pada Menu Pengajuan Semester Pendek Web Student Amikom

2024-12-16T08:52:32+07:00

The design of the short semester application menu on Universitas Amikom Purwokerto's student web platform using the TOGAF ADM framework aims to create an efficient, structured, and user-friendly information system. The design process begins with the Preliminary Phase to define the scope and continues to the Technology Architecture, ensuring the use of modern, scalable, and secure technology. Business processes are modeled using BPMN to enhance workflow transparency and efficiency, while data and application architecture ensure accurate information management and optimal system integration. This system allows students to apply for short semesters online, process payments, and receive real-time verification. The implementation supports the university's strategic vision of delivering modern, efficient, and technology-driven academic services while improving user experience and operational efficiency in academic administration.

Optimasi Sistem Pencahayaan pada Ruang Kelas SDN Pinang 03

2025-02-12T14:26:31+07:00

Classroom 4.3.4, 5.3.2 and 6.3.3 is used as a classroom for teaching and learning at SDN PINANG 03. The focus of discussion in this study is the illumination and lighting systems in the classroom. Illumination that occurs in the classroom does not meet standards, illumination for classroom lighting is 250 lux - 300 lux, the amount of light points is not in accordance with the standard calculation, finding some space with lighting installations are not designed in groups. One attempt to correct this condition is to make proposals optimization. The first optimization is to replace the existing types of lamps with 36 watt fluorescent lamp, with the number of lights installed at each point lights (luminaire) by 2 pieces and the number of points of light used is the number of point lights existing condition. The second optimization is to use the same type of lights to the existing condition is a downlight Philips Essential 23W Energy Saver E27 220-240V 50-60 Hz Cool Daylight lamp with a number of points based on standard calculations. The third optimization is to replace the existing types of lamp with 36 watt fluorescent lamp with a number of lights installed at each point lights (luminaire) by 2 pieces and the number of light points in accordance with accounting standards. The study was done by measuring the strong lighting in the classroom by means of a lux meter, analyze case studies on existing conditions with the theory. Then the results of these measurements will be compared with the illumination calculations in accordance with the standard formula, which in turn will get to do some optimization. The results of this study showed a strong improvement of the optimization of the value nearing illumination standards and meet the standards. Optimizations that meet the standards is the third optimization with a illumination value on classroom 4.3.4 is 257 lux , classroom 5.3.2 is 278 lux and classroom 6.3.3 is 317 lux. Values obtained from this optimization are powerful illumination range of 257 lux to 317 lux. It can be concluded that the results of this optimization meet strong standards for classroom lighting.

Evaluasi Tata Kelola Keamanan Informasi Menggunakan Framework COBIT 5 Domain APO13 dan DSS05 (Studi Kasus: Klinik Pratama Rawat Jalan Watumas)

2024-12-24T14:19:18+07:00

The Watumas Outpatient Pratama Clinic is an institution that utilizes Information Technology (IT) to assist its operations and health services. IT empowerment in this clinic is carried out by the department responsible for the technology applied, including the management and storage of highly sensitive patient data. Considering the importance of protecting the data and information collected, a good security system is needed to protect the clinic from potential threats that could be detrimental. Evaluation of the quality of information security management is necessary to ensure that the information technology used is safe and trustworthy. This research adopts a qualitative approach through the use of the COBIT 5 framework, especially in the APO13 (Managing Security) and DSS05 (Managing Security Services) stages, to assess the level of information security implemented. Data was collected through observation, interviews, and the use of assessment sheet instruments. The research results show that both stages are at level 2 (Managed Process), while the level expected by the clinic is level 3 (Established Process). This indicates that there is a gap of one level in each process. This research also provides several recommendations for improving information security management by considering the gaps that arise.

Klasifikasi Jenis Kucing Menggunakan Algoritma K-Nearest Neighbor

2025-02-16T00:50:31+07:00

Cats in Latin is Felis silvestris catus is a kind of carnivorous animal. Cats are the most popular pets in the world that have many enthusiasts and fans. Cats that have bloodlines are officially registered as purebred cats or pure breeds. The number of cat breeds like this is only slightly, only 1% of the world's cat population, which is usually only bred in official animal husbandry. This study uses the Principal Component Analysis (PCA) and K-nearest Neighbor (KNN) algorithms with the aim of classifying cat images through the analysis stage on original images, binary images and grayscale images.The output of the feature extraction will be the input for the Principal Component Analysis (PCA) and K-nearest Neighbor (KNN) algorithms for cat species classification applications. The feature extraction that will be used in this research are RGB and HSV. The data that will be used in this study are 34 image data, consisting of 24 training data images and 10 test image data.So with this research, it is hoped that it can help people to more easily find out the classification of pets, namely cats. The output accuracy in the classification application uses the Multi Support Vector Machine (SVM) Algorithm with first- order feature extraction from the Principal Component Analysis (PCA) and K-nearest Neighbor (KNN) algorithms, which reaches an accuracy rate of 80%.

Implementasi Algoritma C4.5 Untuk Memprediksi Penjualan Sepatu Boots Terlaris di Toko Parabellum

2024-12-29T21:37:18+07:00

In the busines world, especially the shoe shop business, a marketing strategy is needed in order to increase product sales. One of the shoe shop businesses is parabellum. The high number of visitors to Parabellum’s online and offlie stores resulted in the stock of boots being sold out, so that when customers looked for a variety og boots, these boots were no longer available. From this problem, the author helps predict by analyzing data processing using a comparison og the C4.5 algorithm, where the C4.5 algorithm is an algorithm, it will have accurate result in predicting shoe sales data at the Prabellum Store.

The Role of Ease of Use, Usefulness, Trust, and Algorithms in Platform Choice Among Batam Content Creators

2025-01-05T16:24:48+07:00

This research examines how Perceived Ease of Use, Perceived Usefulness, Perceived Trustiness, and Algorithm Awareness influence the attitude and intention of Batam content creators in utilizing digital platforms. Data collected from 137 Batam content creators were analyzed using linear regression. Results indicate that Perceived Ease of Use significantly affects Perceived Usefulness (t = 6.007, p < 0.001), but neither Perceived Ease of Use (t = 0,315, p = 0.753) nor Perceived Usefulness (t = 1.664, p = 0.099) impacts attitude. In contrast, Perceived Trustiness (t = 4.109, p < 0.001) and Algorithm Awareness (t = 2.584, p = 0.011) positively influence attitudes, while a strong relationship exists between attitude and intention to use platforms (t = 8.654, p < 0.001). These findings suggest that content creators should understand algorithm functionality and use trusted platforms to enhance content visibility and audience reach. Platform developers should focus on building trust by ensuring data security, transparent and fair content distribution systems, to create a sense of reliability & trustworthy, encouraging Batam creators to use the platform more actively.

Technology Acceptance and Planned Behavior: How TikTok Impacts Digital Entrepreneurship Intention among University Students in Batam City

2025-01-07T07:41:09+07:00

TikTok application is changing the shape of the economy and how young people see it as an opportunity. This study investigates the impact of TikTok application on digital entrepreneurship intentions among university students in Batam City. Leveraging the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB), the research explores how perceived usefulness, perceived ease of use, attitudes, subjective norms, and perceived behavioral control influence students' entrepreneurial aspirations. A quantitative method with purposive sampling was used, targeting 460 respondents. The findings reveal that TikTok's user-friendly features and algorithmic design significantly affect digital entrepreneurship intentions, facilitating accessibility and fostering innovative business practices. The results underscore the importance of integrating digital tools into entrepreneurship, providing practical insights for educators, platform developers, and young people to enhance entrepreneurial engagement in the digital economy. Despite geographical limitations, this study contributes to the theoretical understanding of technology-driven entrepreneurship and highlights areas for future exploration.

Implementasi Vending Machine Ramen dengan Menggunakan Mealy Machine

2025-01-05T16:32:32+07:00

Ramen is a Japanese specialty that is widely favored by Indonesians. One implementation of innovation to significantly increase ramen sales is with vending machines. In Indonesia, vending machines are not yet widely known, especially in the food category. To take advantage of this business opportunity, vending machines are one of the solutions. Vending machine is a strand of technology whose concept is to make manual activities automatic with the aim of running production and making the output more quality. With this, the purpose of this research is to implement the concept of automata language theory with the Mealy Machine model. This research uses analytical methods, namely from the information obtained and formal methods to analyze how the vending machine works starting from business process analysis, FSA diagram design, FSA testing, and UI Concept Design based on FSA on vending machines. The results of this study are in the form of test results using JFLAP software that can help analyze the patterns that have been made and can be simulated to ensure compliance with the planned design.

Analisis Keamanan DHCP Menggunakan RADIUS Accounting

2025-01-16T23:16:59+07:00

Every computer needs and must have an IP Address to connect with other computer network users, the IP Address will be automatically distributed to network users using the Router as a DHCP Server. In addition to DHCP, the Router has a DHCP Accounting service that can improve network security with AAA and RADIUS Server features that can be implemented with Freeradius. DHCP Accounting has accounting capabilities for secure START and STOP message transmission, but the flash memory capacity on the C2691 router is around 32 MB, making the DHCP Accounting service not run optimally if it has many users. Using MySQL as a database can be a solution to this problem. When using the DHCP Accounting feature, data from DHCP Accounting will be sent and centralized on Freeradius. Accounting data centralized on Freeradius will be stored using a MySQL database so that the available storage space will be much larger and can accommodate more data from DHCP Accounting, as well as monitoring the network so as to improve network security for users.

Implementasi dan Analisis Kinerja Chatbot Telegram Rekomendasi Kuliner di Kabupaten Semarang Menggunakan Framework Rasa

2025-01-17T13:39:14+07:00

The advancement of information technology has driven innovation in various sectors, including the culinary industry. Semarang Regency, as a culinary tourism destination, offers a wide range of dining options that often make it difficult for tourists to decide where to eat. This study aims to implement and analyze the performance of a Telegram-based chatbot using the Rasa framework as a culinary recommendation medium in Semarang Regency. This chatbot is designed to provide quick and relevant culinary recommendations according to user preferences through the utilization of Natural Language Processing (NLP). The system development was carried out through several stages, starting from user needs identification, system design, chatbot implementation, to testing using the System Usability Scale (SUS) method. The test results showed that the developed chatbot achieved an average SUS score of 79.16, indicating that the system meets feasibility standards and provides a satisfying user experience. Therefore, this chatbot is effective in helping people quickly, flexibly, and efficiently find culinary recommendations in Semarang Regency.

Sistem Pakar Mencegah Stunting dengan Menentukan Gizi Anak Menggunakan Natural Language Processing (NLP)

2025-01-08T21:15:16+07:00

Stunting is a health issue caused by malnutrition that hampers child development. This study aims to develop an expert system based on Natural Language Processing (NLP) to provide nutritional information that is interactive, accurate, and easily accessible through a web platform. The system employs a forward chaining inference method, an approach that starts from initial facts to reach solutions based on logical rules. The strength of the NLP algorithm lies in its ability to understand user queries based on context, resulting in relevant and responsive solutions. The testing results indicate a system accuracy rate of 0.9756 or 97%, achieved through evaluations using a dataset of user queries under various test scenarios. This accuracy demonstrates the system's potential to assist parents in understanding their children's nutritional needs in real-time. Features such as interactive consultations and high accessibility make this system a practical and innovative solution for stunting prevention.

Implementasi Chatbot Telegram Interaktif sebagai Asisten Virtual dalam Jual Beli Busana Menggunakan Framework RASA

2025-01-15T11:45:20+07:00

In today's digital era, the use of technology in various fields of life such as economics and commerce is becoming increasingly important. With the development of increasingly advanced technology, it can provide convenience and time efficiency in expanding market coverage. The use of chatbots as information technology has increased rapidly in recent years and is becoming increasingly popular. Chatbot is a computer program designed to simulate conversations with human users via the internet. The implementation of Telegram chatbots can help simplify communication between sellers and buyers and provide product information. The purpose of this study is to identify and analyze factors that influence the effectiveness of using Telegram chatbots in providing information related to buying and selling Fashion and to determine their effectiveness in increasing customer satisfaction. Evaluation of this chatbot was carried out through direct testing with users to assess the level of accuracy of chatbot responses, user satisfaction, and ease of use. The evaluation results showed that the RASA-based Telegram chatbot, which was evaluated using the System Usability Scale method, was able to provide accurate and quite satisfactory responses when used by users.

Pembuatan dan Deploy API di Google Cloud Platform Menggunakan Cloud Run Services

2024-12-24T11:55:31+07:00

This research discusses the development, testing, and deployment of a backend API using Google Cloud Platform (GCP), with Firestore as the database and Cloud Storage for storing user profile photos. The API was developed using Express.js, integrated with Firestore and Cloud Storage, and tested for functionality using Postman. Deployment is done to Cloud Run via creating a Dockerfile and building a Docker image. Test results showed that the API was able to handle 7,875 requests in five minutes, with an average of 25.64 requests per second and an average response time of 97 ms. All endpoints are stable, responsive, and error-free. This research focuses on the application of cloud technology to the development of sign language applications, and shows that the use of GCP services can produce efficient and scalable API solutions. These results are significant in supporting the development of cloud-based applications to meet user needs effectively, especially in mobile applications that require reliable backend services.

Perancangan Sistem Mesin Layanan Mandiri di Kantor Bapenda Medan

2024-12-28T17:42:10+07:00

Information systems are essential to support work processes and public services.One type of information technology widely used in government institutions, such as the Regional Revenue Agency of Medan City, is the management of official correspondence.Every organization or institution has various tools to convey information to others, one of which is through letters.The disposition of letters is a public service that needs improvement at the Regional Revenue Agency of Medan City.This study aims to design a self-service application that facilitates the management of letter dispositions, thereby improving the efficiency of administrative services.The research employs the waterfall method, which includes the stages of requirements analysis, design, implementation, and testing.The result of this research is a prototype application that enables digital management of letter dispositions, equipped with features that simplify tracking and managing letters for both administrators and users.These findings are expected to serve as a foundation for further development of digital administrative services in other government institutions.

Social Movement Donasi Makeup Tidak Terpakai Melalui Social Media

2024-12-30T21:00:56+07:00

The Social Movement carried out by Makeup Wakeup is a form of real action to help reduce cosmetic waste, encouraging consumers to donate products that are no longer used but may still have some life left in them. This research uses an interpretative qualitative approach with data collection techniques using interview methods, literature study and document study. The research results show that Makeup Wakeup uses social media platforms, especially Instagram. Not only does it create awareness but also encourages people to get involved in the movement to donate unused cosmetics. The proceeds from collecting unused cosmetics are donated to the funeral beautician. The findings in the research are that wakeup makeup will collaborate with artists to increase attractiveness and create synergy between artists and environmental awareness.

Pemanfaatan Akun Instagram @kulinerdilombok dalam Memasarkan Wisata Kuliner di Lombok

2025-01-18T11:07:56+07:00

This research analyzed how the Instagram account @kulinerdilombok is managed to market culinary businesses in Lombok. After the 2018 Lombok earthquake and the COVID-19 pandemic, the use of social media as a marketing medium is crucial to revive culinary businesses in Lombok. Social media has become an important tool for culinary entrepreneurs. This study aims to determine the activities carried out by the Instagram account @kulinerdilombok in promoting culinary tourism in Lombok. Effective messaging through social media is needed to reach a wider audience. Using interview and documentation methods, this study identified how communication elements are implemented in the use of Instagram as a marketing medium. The findings reveal that over the past six years, @kulinerdilombok has grown its audience to 62,000 followers by managing the account with a focus on context, communication, collaboration, and connection. The account has significantly impacted both business owners and the public seeking information about Lombok’s culinary scene. This study offers a reference framework for individuals and organizations aiming to build and strengthen public engagement in the digital era through effective communication on Instagram.

Analisis Keamanan Website Berbasis WordPress melalui Penetration Testing untuk Meningkatkan Keamanan Digital

2025-01-18T20:14:04+07:00

The development of information technology has made the security and integrity of digital information exchange on websites extremely important. Many websites utilize Content Management Systems CMS like WordPress as an alternative choice. This research aims to conduct penetration testing on the WordPress based website teknoblog.top using the Penetration Testing Execution Standard PTES method and provide recommendations for improving existing vulnerabilities. The analysis results on teknoblog.top using the WPScan tool found 6 informational findings, which do not indicate vulnerabilities. Meanwhile, OWASP ZAP identified vulnerabilities with a total of 3 medium level alerts, 5 low level alerts, and 6 informational alerts. The vulnerability successfully exploited in this research was the Missing Anti Clickjacking Header with a medium level severity. This finding was confirmed using the BurpSuite Scanner tool. The vulnerability was caused by the website not properly configuring the security header. To verify the accuracy of the Missing Anti Clickjacking Header vulnerability findings on the OWASP ZAP scanning tool, exploitation was carried out manually using a simple HTML script and through the clickjacker.io website. It is important to address this issue to prevent web pages from being loaded in iframes on other websites. The recommended fix for this vulnerability is the addition of the X Frame Options header to protect the website from clickjacking attacks.

Pembuatan Website untuk Mesin Penjualan Otomatis di Central New Jersey

2025-01-27T17:46:26+07:00

Vending machine sales is a system designed to replace human labor, from product offerings, order processing, to payment transactions. This study is to create an easily accessible sales platform, customers can make purchases on this website at any time because it can be accessed from various devices such as computers, laptops, tablet PCs, and smartphones. Website creation includes the process of designing, developing and maintaining a website that functions as an online platform. This website involves a variety of skills ranging from graphic design to programming. The results of this study indicate that the creation of a website that can be accessed at any time, without time limits and allows customers to make purchases according to their needs without having to be tied to certain operating hours. This is in line with the growing need for digitalization and automation of food and beverage product purchasing services.

Classification of Image Corner Point Detection Systems to Identify a Shape

2025-02-17T10:14:15+07:00

StudyThis contains about the detection of circular object images. The circular object tested is the moon image object, the moon image was chosen because the moon image has various moon shapes, namely the full moon, half moon and crescent moon. To detect the shape of the circular object image, several stages are carried out by starting the image segmentation process. (1) The segmentation process using the bi-level thresholding method makes the image black and white, (2) after that the image is repaired with the morphological process of the opening and closing methods. (3) For training data, the shape extraction process is carried out, namely the circular nature of the object (circularity) to determine the roundness of an object. For the testing process, the same process is also carried out as the process of obtaining circular image detection.

Expert System for Diagnosing Brain Tumors Using the Certainty Factor (CF) Method

2025-02-17T10:20:20+07:00

The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method.

Identification of Flower Type Images Using KNN Algorithm with HSV Color Extraction and GLCM Texture

2025-02-17T10:23:37+07:00

Due to the variety of types of flowers that exist and having and tracking each variety, making plant lovers and cultivators difficult to distinguish in determining the type of flower, it takes a very long time to find out the type of flower if you only rely on the five senses. With the application of the K-Nearest Neighbor algorithm and feature extraction of color and texture, it is very helpful in image processing to identify flowers more easily and shorten the time, with the greatest accuracy of 71% using the K-7 value, the flower was successfully carried out.

Classification of Skin Color Detection System to Determine Color Selection in Cosmetics (Foundation) Using Modified Chamfer Matching Algorithm Method

2025-02-12T12:24:43+07:00

Skin color detectionis one of the segmentation processes that separates object regions in an image based on color differences. Objects that have a certain color are separated from objects that have other colors. The segmentation results can be used for further processes such as feature extraction or image classification. In this example, skin color is defined in the YCbCr color space with a Cb value between 77 and 127 and a Cr value between 133 and 173. Skin color detection is one of the initial stages in computer vision to detect things related to humans (people detection). Skin color detection can be used as a segmentation method for face recognition or recognition of other body organs. The system can be further developed for biometric systems.

Sistem Pendukung Keputusan untuk Menilai Kesejahteraan Wilayah DIY dengan Metode SMART

2025-02-01T11:00:17+07:00

Welfare in the Special Region of Yogyakarta (DIY) is disrupted by urbanization and development inequality, which leads to poverty and other social problems. This research uses the Waterfall method which includes requirements analysis, design, implementation, and testing. Data were collected through interviews, and literature studies. The results of the study show that: first, the system developed is able to provide welfare ratings with high accuracy. Second, system validation through MAE calculation produces a value of 0.285, indicating a minimum error rate, so that the system can provide reliable predictions and support data-driven decision-making. Usability evaluation using the System Usability Scale (SUS) obtained a score of 73.9 which is in the good category and shows that the system is easy to use, and the functionality test with the Black Box method shows a 100% success rate. In conclusion, SPK based on the SMART method is effective in supporting social policies.

Pengaruh Motif Penggunaan Media terhadap Intensitas Mendengarkan Podcast (Survei Eksplanatori Motif Penggunaan Media terhadap Intensitas Mendengarkan Podcast pada Platform Noice)

2025-01-15T14:42:28+07:00

This research aims to determine the extent of the influence of media usage motives. This study employs a quantitative approach with an explanatory survey method aimed at obtaining explanations regarding the causal relationships between the research variables, conducted through inferential statistical testing using multiple linear regression. The sample was 162 samples. The results of the study indicate that the variables of entertainment motives, information-seeking motives, and platform superiority motives have a significant effect on the intensity of podcast usage on the Noice platform. Meanwhile, time-passing motives, affiliation motives, self-discovery motives, and social interaction motives do not have a significant effect but contribute positively to the intensity of podcast usage on the Noice platform. The conclusion of this study is that there is an influence of media usage motives on the intensity of podcast usage on the Noice platform.

Implementasi Model 3D Jantung Manusia pada Aplikasi Markerless Augmented Reality

2025-01-15T21:04:32+07:00

Augmented Reality (AR) has become an innovative technology in the healthcare sector. In the medical context, AR offers significant potential, such as supporting medical training, enhancing anatomical visualization, and improving understanding of patient conditions. Cardiac anatomy training and education in the medical world still rely heavily on conventional methods including 2D diagrams, physical models, or desktop-based computer simulations, which are less interactive, inflexible, and less realistic. This research aims to develop a markerless AR application for the visualization of 3D models of the human heart to improve understanding of the heart structure in the context of heart disease treatment. The process starts with the design of a 3D model using Blender, which is then imported into Unity to be integrated with the AR Foundation, allowing the placement of the model in the real world without markers. This AR application was tested on an Android Smartphone device. The test results showed successful visualization of the heart model accurately over the human chest (physical reality). This application makes a significant contribution in medical education by offering an interactive and realistic solution. This research opens up opportunities for the application of AR in health education and medical training. Further development could include interactive features simulating the circulatory system as a whole.

Perancangan Sistem Informasi Perencanaan Produksi (Studi Kasus: Divisi Pangan PT. XYZ)

2025-01-04T19:35:30+07:00

The rapid development of digitalization cannot be separated from the important role of an information system. Production planning process at PT. XYZ is still manual and not yet computerized. This causes production delays due to miscommunication and does not yet have a database in the system. This causes production delays due to miscommunication and does not yet have a database in the system. To overcome this, it is necessary to have a field study through interviews with staff at PT. XYZ to design information systems. The purpose of conducting research at PT. XYZ is, among others, producing a computerized production planning information system design in a database. The design of this production planning information system is made with a DFD (Data Flow Diagram) method using Odoo Software which can facilitate users in the process of delivering information between work departments in a computerized manner, reduce the number of human error problems, facilitate checking the availability of raw materials, and can shorten the flow of business processes that are currently running in a database so that the production scheduling and planning process is more effective and efficient.

Penerapan Data Mining Menggunakan Algoritma Single Moving Average pada Penjualan Mobil Honda

2025-02-21T23:38:30+07:00

Data mining is a branch of artificial intelligence that is used to find patterns and information hidden in data. One of the common algorithms used in data mining is the Single Moving Average (SMA). The SMA algorithm can be used to analyze and predict trend data, such as sales, stocks, production, and so on. In this study, SMA will be used to provide forecasts on Honda car sales and find hidden patterns in them with the aim of finding out the dominant patterns in Honda car sales and preparing for all possible risks that will be obtained due to this forecasting system. The data used in this study is Honda car sales data from official Honda dealers, where data was collected as much as 90 data as a dataset, and 8 data as data to be tested from 2017 to 2023. The results of the study show that the SMA algorithm can be used to analyze Honda car sales data where the right order in this case is order 2 with a value obtained above 90% based on the results of calculations from MAPE and MSE. These results can be used by the Honda company to improve sales strategies and improve product quality in terms of inventory management.

Penerapan Prediksi untuk Klasifikasi Penerima Beasiswa Berprestasi pada SMK Islam Pemalang Berdasarkan Algoritma K-Nearest Neighbor

2025-02-22T01:18:20+07:00

This research aims to help Pemalang Islamic SMK in identifying outstanding students and predicting potential scholarship recipients, by utilizing the algorithm, K-Nearest Neighbor (K-NN) in determining students who have the potential to receive scholarships. This research used 100 student data involving attributes such as report card grades, academic achievement, parental responsibilities, parental salary, and participation in organizations. Meanwhile, the testing process is carried out by adding 6 data on potential scholarship recipients to be predicted. The data is then processed and normalized before being applied to the K-NN algorithm. The K-NN steps involve determining the K parameter (number of nearest neighbors), calculating the Euclidean distance, sorting the distance results, and selecting the majority category as a prediction for the new object class. The research results show that the application of the K-NN algorithm with K=3 is successful in providing predictions of outstanding students by considering relevant attributes. This process is carried out with the help of JAVA programming to calculate and analyze data. The research conclusion shows that the K-NN algorithm can be used as an effective prediction tool for classification to determine students who excel and are worthy of receiving scholarships. This research contributes to increasing efficiency and accuracy in the selection of outstanding scholarship recipients in the school environment with an accuracy of 83.33%.

Transformasi Digital UMKM Batik Melalui Penerapan Teknologi IT Berbasis Sistem Katalog

2025-02-12T21:24:20+07:00

Digital transformation is one of the important steps for MSMEs (Micro, Small, and Medium Enterprises) in facing the era of globalization and market competition, especially in the creative economy sector such as batik. This study aims to analyze the digital transformation strategy of MSME Batik Banyumasan through the application of IT technology based on a catalog system. The research method used is qualitative with an observation, interview, and SWOT analysis approach to understand the needs and challenges faced by business actors. The results of the study show that the application of a catalog website can increase customer attraction and facilitate the marketing process of batik products. This website is equipped with features such as a homepage, new products, collections, and complete products designed to make it easier for visitors to explore and buy batik products. This study concludes that digital transformation through technology based on a catalog system not only helps MSME Batik Banyumasan in increasing sales, but also preserves the cultural heritage of batik as part of the creative economy.

Expert System for Diagnosis of Hypertension Disease Using Naive Bayes Method

2025-02-16T01:27:18+07:00

Hypertension is a disorder of the blood vessels that causes the supply of oxygen and nutrients carried by the blood to be blocked to the body's tissues that need it. Hypertension is often referred to as a silent killer, because it is a deadly disease without symptoms as a warning to its victims. Hypertension sufferers range from 40 years of age and above to lifelong. In general, hypertension is caused by hereditary factors, unhealthy lifestyles, excessive salt consumption, alcoholic beverages and stress. Expert systems can be a solution to solve problems because this system works like an expert and is designed using the naive bayes method by looking at the rules and rule bases that exist in hypertension. Through this application, users can consult with the system like consulting an expert to diagnose the symptoms that occur in users and find solutions to the problems faced.

Prediksi Motif Batik dengan Menggunakan Metode Gabor Filter Convolution Neural Network

2025-02-10T16:46:46+07:00

This research aims to develop a batik motif classification system by utilizing Convolutional Neural Network (CNN) and Gabor Filter, in order to increase accuracy in texture feature extraction. The batik dataset used goes through a preprocessing stage, which includes normalization and data augmentation. During training, the model was tested with 10,000 iterations, using the Adam optimizer and the Categorical Cross-Entropy loss function, and evaluated via a confusion matrix. Test results show accuracy reaching 87%, with a precision and recall value of 90% each, and an F1-score of 89%. This method has proven effective for classifying batik motifs and has the potential to be applied in the fields of education, textile industry and cultural preservation.

Smart Absen Siswa dan Guru dengan Menggunakan Computer Vision pada Mafatih Islamic School Tebet

2025-02-10T16:17:26+07:00

An integrated technology-based attendance system was developed to address the inefficiencies of queuing and the dependency on manual input at Mafatih Islamic School. The proposed solution leverages a ResNet model within the dlib framework (Python) alongside a Laravel API for real-time face detection using a camera installed at the entrance. Data is temporarily stored in SQLite as an offline backup and later transmitted to the server in base64 format, accompanied by bounding box visualization as audit evidence.This system is capable of handling.

Perancangan UI/UX untuk Optimalisasi Booking Online dalam meningkatkan Potensi Wisata Daerah Leuwi Asih

2025-02-08T17:40:49+07:00

UI/ UX Design for development of online booking technology and digital tour guides in the Leuwi Asih tourist area aims to increase regional tourism potential through web-based services. This system is designed to make it easy for tourists to make reservations and get information related to tourist destinations efficiently. This research uses a qualitative method by collecting data through direct interviews with local residents and local tourism business owners. The result of this research is a website that functions as a platform to facilitate the management of tourist reservations and provide digital tourist information. Thus, this system is able to support the development of local tourism and improve the tourist experience significantly.

Response Time pada Penggunaan AdGuard Home di Container Mikrotik

2025-02-13T11:59:32+07:00

DNS-based ad blocking is used to increase website access efficiency by reducing unnecessary elements. This research analyzes the effect of using AdGuard Home in the MikroTik container on response time, delay and data transfer when accessing website. This research used an experimental method, with 30 tests before and after the implementation of AdGuard Home. Google DevTools was used to measure response time and data transfer , while Wireshark was used to measure delay. The results show that response time decreased by 36.38% from 78.46 ms to 49.91 ms, and data transfer decreased by 42.25% from 7.1 MB to 4.1 MB, indicating an increase in network efficiency. However, the delay increased by 12.3% from 256.9 ms to 288.5 ms, due to additional latency in the DNS filtering process. Thus, this research proves that AdGuard Home in the MikroTik container can increase website access efficiency by speeding up response time and reducing data transfer , but increasing delay. Further optimization is needed to reduce the impact of delays to maintain an optimal user experience.

Transformasi Digital: Pengembangan Sistem Informasi Penjualan Berbasis Web pada UMKM Barokah Jaya Cell di Bekasi dengan Pendekatan UI/UX

2025-02-15T22:36:27+07:00

This study designs and develops a web-based sales information system for UMKM Barokah Jaya Cell in Bekasi using a UI/UX approach, applying the Waterfall method. The system development follows a structured process through requirement analysis, design, implementation, testing, and maintenance phases. The goal of this system is to improve efficiency in stock recording, sales transactions, and reporting. Evaluation was conducted through Time-on-Task Testing, Task Success Rate, Error Rate Analysis, and System Usability Scale (SUS). The test results indicate increased productivity, with faster task completion times, a task success rate improvement from 65% to 90%, and a reduction in errors in stock and transaction recording. With an average SUS score of 82, the system is considered intuitive, responsive, and easy to use.

Implementasi Pengembangan Media Interaktif Berbasis Website Canva untuk Meningkatkan Minat Belajar Murid TK Go Ceria Cipayung

2025-02-17T11:36:08+07:00

This study aims to develop and test the effectiveness of Canva-based interactive learning media in increasing the learning interest of Go Ceria Cipayung Kindergarten students. The research method used is a qualitative approach with observation and interview techniques. The interactive media developed is in the form of a website that integrates animation features, interactive quizzes, and design elements that are appropriate for the age of kindergarten children. Evaluation was conducted through pre-test and post-test using learning interest scale. The results showed an increase in interest in learning, with 8 out of 10 children successfully completing the test with high scores based on observations and interviews with teachers. The findings indicate that utilizing Canva in early childhood learning can be an innovative solution to increase children's learning engagement and motivation.

Pengembangan Sistem Firewall Adaptif Berbasis DNS untuk Memblokir Situs Pornografi di Jaringan IDN Boarding School

2025-02-19T13:40:14+07:00

The fast development of information technology has improved internet availability but also raised exposure to dangerous material, especially pornography. Maintaining a safe online environment for students and the community at large is a challenge for IDN Boarding School. This study develops an adaptive firewall system using Pi-hole and DNS filtering, designed to block access to pornographic websites while preserving academic access. The system was tested through controlled network simulations involving 1000 domain requests, with results showing a 95% success rate in blocking unwanted content. The study adopts a rule-based design approach and includes usability testing with administrators. Findings suggest that integrating DNS-level filtering effectively reduces exposure to harmful content while maintaining internet stability. This research provides a scalable model for educational institutions seeking to enhance digital safety and responsible internet use.

Dampak Implementasi Sistem Informasi Gampong (SIGAP) pada Digitalisasi Administrasi Desa dalam Konsep Smart Village Initiative di Gampong Luthu Lamweu, Aceh Besar

2024-11-19T03:08:35+07:00

A quantitative descriptive approach with a retrospective pre-test design was used to assess changes in community perceptions through a Likert-scale questionnaire covering seven key indicators, including service speed, data accessibility, and digital literacy. Results show significant improvements across all indicators, with the highest gains in data access (21%) and administrative transparency (20%). These outcomes highlight SIGAP’s potential to strengthen technology-driven governance and foster community engagement in smart village development. The findings offer practical implications for rural digital transformation and the implementation of information systems in other local contexts.