JITSI : Jurnal Ilmiah Teknologi Sistem Informasi

Transformasi Digital Pendidikan Islam: Pemanfaatan Laravel dalam Pengembangan Sistem Informasi Akademik di TPA Mesjid Al-Jama’ah Padang

2024-12-21T06:13:58+00:00

Managing academic information in educational institutions often faces challenges that require high efficiency. Manual processes in collecting and managing academic data can lead to complexity and errors. Taman Pendidikan Al-Qur’an (TPA) Mesjid Al-Jama’ah in Padang experiences similar issues, particularly in managing registration, attendance, grades, and tuition payments. This research aims to develop an Academic Information System based on Laravel for TPA Mesjid Al-Jama’ah, encompassing four user levels: admin, prospective students, students, and teachers.

The Rapid Application Development (RAD) methodology is used in system development, involving stages such as requirements determination, prototyping, development and feedback collection, and product implementation and finalization. The system is built using UML, PHP, Laravel, and MySQL to ensure data is well-organized and free from redundancy. The implementation results indicate that this system facilitates online registration and data management, and helps teachers input grades and attendance efficiently. It is recommended that the system be further developed to include TPA financial management and add features for printing summaries and exporting data to Excel, to enhance the efficiency and effectiveness of information management at TPA Mesjid Al-Jama’ah.

Braille Letter Recognition System Using Website-Based Deep Learning Methods

2024-12-21T06:14:14+00:00

Braille letters are used as a written language for people with visual impairments. To this day, Braille letters are used in in inclusive schools where they are taught to disabled students. However, there are physical capability barriers faced by teachers when correcting Braille answer sheets written by visually impaired students. The ability to read Braille letters is also important for family members to support the students' learning process. This research’s purpose was to create a system that can transliterate Braille letters into the Latin alphabet using deep learning methods. The proposed deep learning methods include Base Convolutional Neural Network (CNN), ResNet50, VGG-16, and Inception-v3. The Braille Character image dataset used consists of 12,641 data divided into 37 classes from the AEyeAlliance repository. The Base CNN model used achieved 98% training accuracy, 99% validation accuracy, and 99.1% testing accuracy.

Facebook in Qualitative Research: Answering ‘What’ and ‘How’ Questions

2024-12-21T06:13:43+00:00

The rapid development and widespread use of internet-based technology have changed the research landscape. In line with these developments, Facebook has become a new avenue in research. This paper discusses, firstly, how Facebook can be utilized and, secondly, the complexities and practicalities of using this platform when conducting qualitative research. Utilizing Facebook in qualitative research is challenging due to the vast amount of data it contains and the ethical issues involved. However, understanding the features of Facebook and the involvement of gatekeepers may facilitate the research process. Facebook has become a viable tool in qualitative research for collecting data and recruiting participants. However, a strategy is required to facilitate the research process. Using Facebook in research can be a powerful tool but researchers should use it with caution and thoroughly evaluate the implications for practice before doing so.

Analisis Usability Testing pada Sistem Informasi Dokumentasi dan Pelaporan Akreditasi

2024-12-21T06:14:44+00:00

Study Program Accreditation is an effort to improve the quality of higher education institution services can be realized by building an information system and quality culture. This study was carried out to create an information system that is able to accommodate accreditation documentation and reporting in the Information Technology Department and analyzing usability testing with the system usability scale (SUS) and user interviews. The research results show that the average SUS score is 65. This score shows that users can accept information systems based on aspects of their usability. However, improving the quality of the application is still necessary, because the usability score also shows that the quality of the application is still at level D. Evaluation to improve application quality can begin by improving aspects of errors and satisfaction in the information system.

Visualization Of Spatial Distribution Of Village Development Index A Review Of Location Data In West Java Province

2024-12-21T06:14:29+00:00

The spatial distribution of the Village Development Index (IDM) is the result of village development analysis for the purposes of mapping and assessing variations in the level of village development results in a region. The aim of the research is to analyze the spatial distribution of IDM, which is a comprehensive indicator that covers social, economic and environmental aspects in assessing village development progress. The methodology used in this research includes spatial analysis using a spatial data integration system with secondary data (statistical data). The combination of the internet of things (IoT) with WebGIS makes it possible to integrate data from various sources, in the form of spatial and non-spatial data into one easily accessible platform. This allows for more in-depth and accurate data analysis; and it is possible to disseminate information quickly and widely because it can be accessed by various stakeholders. That spatial distribution of the IDM can be used as an important tool in planning for a more inclusive and sustainable regional development. With WebGIS, data collected from IoT devices can be processed and analyzed to producing interactive maps and reports that will help in a better decision-making process, the research results can be accessed at https://jabar-e.netlify.app.

Recommender System for Tourist Destinations in Indonesia Using Matrix Factorization Method

2024-12-21T06:13:27+00:00

Indonesia has various tourist destinations. The large number of tourist destinations makes people confused about choosing a suitable tourist destination. The recommendation system is an appropriate way to help Indonesians choose tourist destinations that suit their preferences. One recommendation system method is matrix factorization. This research uses a matrix factorization algorithm, Alternating Least Square (ALS). The dataset used is Indonesia Tourism Destination from Kaggle. Based on research that has been carried out, this algorithm is successful in predicting tourist attractions that suit users. The evaluation results are an MAE value of 1.27203388032266, while the RMSE value is 1.475271987.