Journal of Informatics and Computing (RANDOM)

IMPLEMENTASI ALAT UKUR TUBUH MANUSIA MENGGUNAKAN SENSOR TANPA SENTUH MLX 90614 BERBASIS ARDUINO

Hidayatur Rakhmawati — 2024-05-31

The signs that appear due to the covid 19 virus are abnormal human body temperatures (more than 37.5 C). Therefore, it is necessary to build a body temperature measuring device without direct contact to prevent the risk of transmission of the covid 19 virus. This study aims to apply the MLX 90614 sensor to the Arduino-based touchless human body temperature detection system.Extreme programming is suitable where the client is unsure and changes his mind frequently. Extreme programming is suitable for using an iterative approach to developing software. The stages in extreme programming are planning, design, coding and testing. The results of this study can be obtained that measuring body temperature in humans with the MLX 90614 sensor runs smoothly so that it is easier and more practical. The final average of all tests carried out on humans aged 12 years, humans aged 20 years and humans aged 30 years, can produce an average final temperature of MLX 90614 which is 36.77 ⁰C. The final average temperature of the thermogun is 35.32 ⁰C. Then the final average result of the difference between the MLX 90614 sensor temperature test and the thermogun temperature is 1.68. The final average result of the accuracy of the MLX 90614 sensor is 95.52%.

IMPLEMENTATION OF THE WATERFALL METHOD IN BUILDING A WEB-BASED LIBRARY INFORMATION SYSTEM AT SMK NEGERI 1 ATAMBUA

Renaldi Yulvengki Kolloh — 2024-05-31

The library at SMK Negeri 1 Atambua still employs a conventional management system for tasks such as new member registration, book inventory recording, book lending, and others. This approach is, of course, lacking in supporting convenience and transaction effectiveness between library members and staff. Therefore, there is a need for a web-based library information system that can facilitate both students and teachers in accessing the library application as a provider of information and knowledge services. In developing this system, the waterfall methodology is employed. The library information system utilizes PHP programming and the Laravel framework, with MySQL as the database. The result of this research is a web-based library information system that can assist students, teachers, and library staff in better library management and administration compared to the previous conventional system.

RANCANG BANGUN SISTEM PENGELOLAAN KEUANGAN MASJID DENGAN METODE PROTOTYPE

Ariana Yunita — 2024-05-31

The mosque is a holy place for Muslims which functions as a place of worship and also various religious activities. In carrying out its functions, there is a mosque administrator called the Mosque Welfare Council (DKM), which is an organization that carries out tasks voluntarily, starting from supervision. maintenance, to financial management. In carrying out financial management, transparency and accountability are important, so this encourages the design of a mosque financial management system. This research uses a case study of the Arrahmah Mosque in Cilegon to assist DKM in carrying out mosque management. So far, financial reports have been stored in one Excel file containing many sheets, where each sheet contains financial reports for a particular month, making it difficult to analyze cash flow. The Ar-Rahmah Mosque's financial reports are distributed by printing and attaching them to the walls of the mosque. This research was conducted to design and build a financial management system for the Ar-Rahmah Mosque that can manage finances and report finances online to mosque congregations using the Prototyping method. The stages begin with requirements gathering, quick design, build prototype, prototype evaluation, implementation design, and testing. The test results show that the Ar-Rahmah Mosque's financial management system can meet all needs and the system can process financial data, assets and activity information which can be accessed via a browser.

IMPLEMENTASI GAME SIMULASI MATEMATIKA PADA KELAS 5 SEKOLAH DASAR

Vina Sufenti — 2024-05-31

Adventure game simulations can have several positive impacts on mathematics learning in schools. They can increase student motivation, develop problem-solving skills, provide hands-on learning experiences, encourage collaboration, and offer immediate feedback. By incorporating adventure game simulations into mathematics education lessons, educators can create engaging and effective learning environments that foster deeper understanding and appreciation of mathematics among students. This research designs an animated simulation game for mathematics subjects in the introduction of fractions, speed and discharge, and scale. This game has an agricultural and livestock theme, where each player will play through 3 stages starting from planting or maintenance animations, cooking, and finally selling. Games built on a desktop basis for use by teachers. This research method uses an educational game design model which focuses on three components, namely game design, pedagogy and learning content. The results of testing the use of mathematics games with students in class received a positive response from the questionnaire data given to 20 grade 5 students with a total of 12 questions. Evaluation of the use of the game uses the heuristic game principle by calculating an average score of 4.2 so it can be concluded that this mathematics simulation game for grade 5 elementary school is suitable for use.

STUNTING PREVENTION EXPERT SYSTEM TO SUPPORT PREGNANT WOMEN'S UNDERSTANDING OF NUTRITIONAL INTAKE NEEDS BASED ON ANDROID

Hidayatur Rakhmawati — 2024-05-31

Stunting is a condition of failure to thrive in toddlers due to lack of nutritional intake for a long time and also due to recurrent infections, the causes of these two factors are influenced by inadequate parenting patterns. Thus, an expert system for stunting prevention is needed that will help provide insight for pregnant women about their nutritional needs and make it easier for parents to consult about stunting prevention and get reminders about nutritional needs during pregnancy. An Android-based stunting prevention expert system to support pregnant women's understanding of nutritional intake needs was built using the forward chaining method and research methods in the form of experimental methods aimed at providing logical information regarding stunting prevention regarding nutritional intake needs. The results of the research show that the forward chaining method is suitable for use, including in the aspect of conclusion results based on questionnaires that have been filled out appropriately and satisfactorily with a percentage of 80%, the information provided is appropriate, resulting in a percentage of 88%, 91% stated that this system helps pregnant women in preventing stunting. , as well as producing conclusions regarding the application, namely the application is easy to use with a percentage of 85%, menu navigation is easy to use with a percentage of 88%, the application display can be seen comfortably with a percentage of 88%.

COMPARISON OF NAÏVE BAYES AND C4.5 ALGORITHMS IN THE CLASSIFICATION OF TUBERCULOSIS

Putri Nur Isnaeni — 2024-05-31

Mycobacterium Tuberculosis bacteria cause tuberculosis. This disease is usually spread through splashes such as coughing or sneezing. Pulmonary Tuberculosis and Extra Pulmonary Tuberculosis are two classifications of tuberculosis. Indonesia is the third country with the highest number of tuberculosis cases. Therefore, efforts need to be made to reduce the number of tuberculosis cases in Indonesia. One effort that can be made is to classify tuberculosis data in medical settings. This can help doctors in diagnosing the disease and early detection of tuberculosis, allowing faster healing for those suffering from this disease. One type of classification algorithm is Naive Bayes and C4.5. The first is used to predict future opportunities based on previous experience by looking for the largest opportunity from several possible classifications and looking at the frequency of each classification in the training data. C4.5 was chosen because it is a benchmark that is often used in comparison with the Naive Bayes algorithm. The results obtained by the C4.5 algorithm have a higher level of accuracy with a percentage of 85% than the naïve bayes algorithm which has an accuracy of 83%, which means the C4.5 algoritm is better when applied to the tuberculosis disease classification process