Jurnal Bangkit Indonesia

Analisa Metode Strenght Weaknesess Opportunities Threats (SWOT) di Pasaraya Bintan 21

Vita Rahayu, Resti Daryopi, Fanny Saputra — Fri, 31 Oct 2025 16:09:10 +0700

This study aims to analyze the state of Pasaraya Bintan 21 using the Strengths, Weaknesses, Opportunities, and Threats (SWOT) method. This method is used to identify internal and external factors affecting the company’s operations that influence the success of the marketplace in competing in the retail industry. Data were obtained through interviews, observations, and relevant document analysis. The research results show that Pasaraya Bintan 21 has several strengths, such as a strategic location and a diverse range of products, but also faces weaknesses in terms of promotion and innovation. Opportunities for growth are wide open with the increase in population and consumer interest in local products, while threats include intense competition and changing shopping trends.

Prediksi Gagal Jantung Berbasis Deep Learning dengan Algoritma Long Short Term Memory

Fri, 31 Oct 2025 16:10:56 +0700

Heart failure is one of the leading causes of death in the world. Early detection and accurate analysis are essential for proper treatment. This study proposes the use of Long Short-Term Memory (LSTM) algorithm to analyse and predict the progression of heart failure disease based on patient medical data. The LSTM model developed uses the Python platform with TensorFlow and Keras libraries, as well as the “Heart Failure Prediction” dataset from Kaggle.com. The results showed that the LSTM model with training and testing data ratio of 70:30 (Model B) achieved the best performance with accuracy of 0.869, precision of 0.869, recall of 0.869, and F1-score of 0.869. The model showed consistent ability in identifying positive and negative cases of heart failure and was effective in reducing overfitting. Overall, this research contributes to the development of more accurate and efficient heart failure disease prediction methods.

Website Development as an Information and Material-Sharing Platform for Fiqh of Worship

Dani Pradana Kartaputra, Muhmmad Ramdani Nugraha, Ahmad Lukman Nugraha — Fri, 31 Oct 2025 16:12:21 +0700

Majlis Ta'lim Petuah Bandung, established in 2021, faces challenges in expanding its da'wah reach and improving the efficiency of information management. Currently, they rely on conventional methods such as face-to-face lectures and printed materials, which are limited in reach and accessibility. In the contemporary era of globalization, digitalization plays a pivotal role in the distribution and accessibility of information. Study conducted by other researchers shows that digital platforms have positive results in the propagation of religious education. By leveraging a website as a dedicated da’wah platform, Islamic teachings can be systematically organized, efficiently disseminated, and easily retrieved, overcoming the limitations associated with traditional da’wah methods. In this study, we propose to developing a website as an information platform and a medium for sharing Islamic study materials. This website allows access to study materials anytime and provides discussion features to enhance interaction. Utilizing the Rapid Application Development (RAD) method and technologies such as HTML, CSS, JavaScript, PHP, and MySQL, the website is designed to be user-friendly and tailored to the needs of the community. The results of our study indicate that the website we developed has successfully addressed the challenges of da'wah in the era of globalization by utilizing a website as a da'wah platform.

Transformasi Digital Pengelolaan Masjid Berbasis Inovasi Sistem Informasi dan Regulasi Nasional: Studi Evaluatif terhadap Aplikasi Menara Masjid BAZNAS

Muhammad Romadhona Kusuma — Fri, 31 Oct 2025 16:13:53 +0700

Effective and efficient mosque management is a key factor in ensuring operational continuity and enhancing the quality of services provided to congregants. In line with the advancement of the digital era, the adoption of information technology in mosque governance has become an urgent necessity to support transparency, accountability, and administrative efficiency. This study aims to evaluate the effectiveness, transparency, as well as the innovative and regulatory aspects of the Menara Masjid Application developed by BAZNAS RI. The research method employed is exploratory in nature, involving literature review, field observation, and primary data collection from mosque administrators using the application. The results indicate that the application represents a community-based information system innovation that facilitates the management of congregational data, reporting of zakat, infaq, and sadaqah (ZIS), and real-time dissemination of activity information. In addition to promoting internal efficiency and transparency, the application is supported by national regulations through BAZNAS Chairman Regulation No. 005 of 2024, which reinforces its broad legitimacy and adoption. These findings affirm that digitalization through innovative and regulation-based information systems plays a strategic role in establishing modern, participatory, and sustainable mosque governance.

Detection of Javanese Characters Using YOLO11 Deep Learning Approach for Digital Cultural Heritage Preservation

Eko Rahmad Darmawan, Dhani Ariatmanto — Fri, 31 Oct 2025 16:15:20 +0700

Javanese script represents a significant cultural heritage of the Indonesian archipelago that faces extinction threats due to Latin alphabet dominance and minimal users capable of writing with this traditional script. This research aims to develop a Javanese character detection system using You Only Look Once version 11 (YOLO11) algorithm to support cultural preservation efforts through efficient digitalization. The research methodology employs an experimental approach with deep learning, where the Javanese script dataset consisting of 20 basic characters plus background class was obtained from Kaggle and preprocessed using Roboflow with data augmentation techniques. The YOLO11 model was implemented with SGD optimizer, 640px image size, and trained for 500 epochs to achieve optimal convergence. YOLO11 architecture integrates advanced components such as C3K2 blocks, Spatial Pyramid Pooling-Fast (SPPF), and Cross-scale Pixel Spatial Attention (C2PSA) to enhance multiscale feature extraction capabilities. Model performance evaluation utilized confusion matrix with accuracy, precision, recall, and F1-score metrics. Research results demonstrate that the YOLO11 model achieved an overall accuracy of 81.00% with macro-averaged precision of 86.28%, macro-averaged recall of 87.25%, and macro-averaged F1-score of 86.41%. Model performance distribution shows 7 classes with high performance (F1-score ≥ 90%), 9 classes with medium performance (80-90%), and 4 classes with low performance (<80%). The "nga" class achieved perfect performance of 100%, while the "ha" class showed the lowest performance with an F1-score of 68.09%. This research successfully improved accuracy compared to previous methods using backpropagation neural networks (74%) and conventional backpropagation (59.5%), although challenges remain in detecting characters with similar shapes and handling background class. The main contribution is the first implementation of YOLO11 for Javanese script detection, opening opportunities for developing more efficient and accurate ancient literature digitalization systems.

Comparison of LBP, GLCM, and Canny Feature Extraction Methods in Rice Leaf Disease Classification Using KNN

Roy Jordy, Dhani Ariatmanto — Fri, 31 Oct 2025 16:16:38 +0700

Accurate and timely identification of rice leaf diseases plays a crucial role in supporting early disease control efforts in agriculture. This study aims to compare the performance of three image feature extraction methods—Local Binary Pattern (LBP), Gray Level Co-occurrence Matrix (GLCM), and Canny Edge Detection—in classifying three types of rice leaf diseases: Bacterial leaf blight, Brown spot, and Leaf smut. Each method was evaluated based on its confusion matrix as well as key performance metrics, including accuracy, precision, recall, and F1-score. Experimental results show that LBP achieved the highest classification performance with an accuracy of 92.06%, followed by GLCM at 78.57% and Canny at 66.67%. In addition to accuracy, LBP also outperformed the other methods across all evaluation metrics. These findings indicate that the local texture features captured by LBP are more effective in distinguishing disease types compared to the global texture features from GLCM and edge-based features from Canny. Therefore, LBP is recommended as a superior feature extraction method for automated classification systems of rice leaf diseases based on digital imagery.

Business Process Model And Notation Untuk Memodelkan Proses Pengingat Pinjaman Pada Koperasi

David Diamanta, Alva Hendi Muhammad — Fri, 31 Oct 2025 16:17:52 +0700

Savings and loan cooperatives are strategic microfinance institutions facing challenges in managing loan reminder processes. XYZ Savings and Loan Cooperative operates manual reminder processes without standard documentation, creating risks of human error and operational inefficiency. This study aims to design Business Process Model and Notation (BPMN) to model and standardize loan reminder processes at XYZ Savings and Loan Cooperative. The research employed a qualitative approach with descriptive analytical methods. Data collection was conducted through direct observation for one month, interviews with the Secretary Department Cooperative Employee, and internal document studies. Business process analysis was performed to understand existing workflows, then modeled into BPMN elements using Bizagi Modeler software. Model validation was conducted through structured questionnaires with 20 validation aspects. BPMN model was successfully designed with two main scenarios namely Friday reminder process as the main process and Monday reminder process with follow-up mechanisms. The model involves three main actors (Cooperative Members, Cooperative Employees, and Cooperative Head) with clear swimlane divisions. The process starts from attendance checking, WhatsApp messaging, phone calls, to coordination for direct visit scheduling. Validation shows perfect conformity of 100% from 20 evaluated aspects. The BPMN model successfully transformed manual processes without documentation into structured and standardized visualization. The study concludes that BPMN implementation can effectively standardize previously manual and undocumented loan reminder processes, producing standard documentation that can be implemented for procedure standardization and new employee literacy, thereby improving operational effectiveness and reducing human error risks in cooperative loan reminder processes.

Comparative Analysis of the Performance of YOLO11 and YOLOv8 Models in Identification of Diseases in Tomato Leaves

Muhammad Arif Kholis Majid, Dhani Ariatmanto — Fri, 31 Oct 2025 16:19:26 +0700

Diseases on tomato leaves can reduce the quality and quantity of agricultural yields, as well as affect market prices. This study compares the effectiveness of the YOLO11 and YOLOv8 models in detecting diseases on tomato leaves with traditional CNN-based models such as VGG-16 and Inception-V3. The results show that the YOLO11 model provides the best accuracy of 99.4%, followed by YOLOv8 with 98.5%, both excelling in real-time detection. CNN-based models like VGG-16 and Inception-V3 have high accuracy (99% and 93.8%), but are slower in computation. The ensemble model of VGG-16 and NASNet Mobile achieves an accuracy of 98.7%, but is slightly lower than YOLO11. The YOLO model is more efficient in detection speed, making it a better choice for field applications. This study shows that YOLO11 offers the best combination of accuracy and detection speed for a real-time plant disease detection system.

PMB Pembaruan Aplikasi Pendaftaran Mahasiswa Baru Stmik Bandung Menggunakan Siklus SPA (Single Page Application)

Linda Apriyanti, Mina Ismu Rahayu, Ade Winarni — Fri, 31 Oct 2025 16:20:46 +0700

Along with the advancement of information and communication technology, particularly internet and web technologies, STMIK Bandung has implemented an Information System for New Student Admissions (PMB). Although this system has provided various benefits, the lack of separation between the Front-End and Back-End code structures in the current PMB application has led to limitations in scalability and performance optimization. When traffic increases, it becomes difficult to scale the Back-End infrastructure without affecting Front-End performance. As a solution, the development of a PMB system based on the Single Page Application (SPA) architecture is proposed. SPA enables a website to load only the necessary components based on user interactions instead of reloading the entire page, significantly improving speed and responsiveness. The software development methodology used in this project is Agile. By implementing SPA, STMIK Bandung can optimize user experience, enhance system stability, and simplify the software development and maintenance process. The research results show that the implementation of SPA not only modernizes the PMB system but also increases efficiency and convenience for users.

Analisis Kualitas Website Sistem Informasi Ujian Akhir Semester (SIUAS) Menggunakan Metode Webqual 4.0 dan Importance Performance Analysis (IPA) (Studi Kasus : Sekolah Tinggi Teknologi Indonesia Tanjungpinang)

Fri, 31 Oct 2025 16:22:31 +0700

This Internet users are experiencing rapid growth. An important role in the activities and business processes of an organization is supported by Information Technology (IT), namely through the internet. The website is one of the uses of the internet. This research was conducted on the website of the End of Semester Examination Information System (SIUAS) at the Indonesian College of Technology Tanjungpinang. The purpose of this study is to determine the quality of the SIUAS website where previously no analysis and measurement had been carried out in assessing the quality of the SIUAS website. The methods used in this study are the Webqual 4.0 method and Importance Performance Analysis (IPA). The number of respondents was 89 SIUAS users including lecturers and students for the 2018-2021 academic year. The variables used in this study derived from the Webqual 4.0 method are Usability, Information Quality, and Service Interaction Quality on the SIUAS website with 22 attribute items. The results obtained from the website quality analysis have a suitability level of 93.7% which respondents feel is still not in line with expectations. The gap level is obtained on average -0.26 where the results of website performance have not matched the expectations of users. The results of the quadrant analysis on tatribut which are the top priority obtained 2 attributes, namely the KI6 SIUAS Website provides information with the right level of detail and the KL2 SIUAS Website provides a sense of security when conducting the exam.

Sistem Informasi Berbasis Web Untuk Pengelolaan Pengaduan Pemeliharaan Pohon Di Dinas Perkim Kota Tanjungpinang

Qorry Endria Vadilla, Vita Rahayu, M. Fauzi Muffarid — Fri, 31 Oct 2025 16:23:58 +0700

The decline in the quality and maintenance of trees in urban areas, especially along roadsides, can pose risks such as tree falls and environmental damage. In Tanjungpinang City, there is no fast and integrated reporting channel to address these issues. This study aims to design and develop a web-based information system that enables the public to easily report tree conditions while increasing public participation in environmental conservation. The research methods include field observations, interviews with the Tanjungpinang City Perkim Office, literature review, and software development using the Agile method through planning, design, development, testing, implementation, and review stages. The results show that the developed web-based complaint system facilitates real-time reporting, increases transparency in handling, and speeds up follow-up processes compared to manual methods. The system is expected to be further enhanced with real-time report status monitoring features for greater effectiveness.

Web-Based PAUD Report Card Score Processing Information System Using the Naïve Bayes Method

Mina Ismu Rahayu, Ai Tya Santiatul Fuadi, Dani Pradana Kartaputra — Fri, 31 Oct 2025 16:25:09 +0700

The report card processing system at PAUD Zamaitul Manan is still carried out manually using handwriting, which requires a long time and has thepotential to cause errors in recording. This study aims to develop a web-based PAUD report card processing information system using the NaïveBayes method to classify and describe student development. The system development method uses the Waterfall model with analysis, design,implementation, and testing stages. The Naïve Bayes method is used to classify children's development achievements into four categories: Not YetDeveloped (BB), Starting to Develop (MB), Developing as Expected (BSH), and Very Well Developed (BSB). The system is built using PHP as aprogramming language, MySQL as a database management system, and the CodeIgniter framework. Test results using the Black Box methodshow that all system functions work well. The system successfully speeds up the value processing process, increases recording accuracy, andprovides automatic descriptions of child development based on Naïve Bayes classification results.

Aplikasi Penukaran Dan Penampungan Minyak Jelantah

Yus Jayusman, Intan Annisa Nur Azizah — Fri, 31 Oct 2025 16:26:21 +0700

Used cooking oil, or waste cooking oil, is often discarded and becomes waste that can harm the environment if not properly managed. Currently, its collection and management are still manual and inefficient, leading to issues such as supply imbalances and reporting delays. This research aims to develop an application that facilitates the exchange and storage of waste cooking oil between residents and collectors, addressing the challenges of manual processes and reducing environmental impact. Using an object-oriented approach (OOP) and the prototype method, this study involves data collection, software development, and evaluation of the impact of improved management on the quality of processed oil and the sustainability of the waste oil processing industry. The outcome is expected to provide an efficient and environmentally friendly solution for waste cooking oil management and also can simplify the process of collecting used cooking oil, accelerate automatic recording of exchange transactions, and improve the efficiency and regularity of data management. Therefore, this application can be an effective and environmentally friendly digital solution to support sustainable used cooking oil management.