RADIANT: Journal of Applied, Social, and Education Studies

Design of Oxytocin Massage Vest for Breastfeeding Mothers Based on Arduino Uno

Tassya Rahajeng — 2025-04-30

Optimal breast milk (ASI) production is essential for infant health and the well-being of breastfeeding mothers. One innovative approach to support this is the use of an electromedical device in the form of an oxytocin massage vest based on a microcontroller. This study aims to design and develop a prototype of an Arduino Uno–based oxytocin massage vest that provides automatic stimulation at specific points along the spine of breastfeeding mothers. The research employed a Research and Development (R&D) approach using a one-group pre-test post-test design. A total of 10 postpartum mothers (over 6 months) participated in the trial. The test results showed a significant increase in breast milk volume, from an average of 18.8 ml to 35.4 ml after using the device. The motor speed reached 22.0 rpm, with a 0% error in timing accuracy and a 0.5% deviation in voltage, all within acceptable tolerances. Although the device demonstrated high effectiveness, limitations such as a small number of respondents and fixed massage point designs were noted for future improvement. This massage vest has the potential to be a practical and innovative solution for enhancing breastfeeding success through consistent and measurable oxytocin stimulation.

Implementation of Machine Learning on Android Based Application for Classifying the Types of Injuries on Traffic Accident

Chairullah Naury — 2025-04-30

This research implements a machine learning model to classify the types of injuries sustained in road accidents. Accidents can happen anywhere and at unexpected times, and not many drivers know how to provide first aid in the event of an accident. These problems encourage researchers to carry out machine learning-based research that can provide recommendations for action and first aid materials/equipment, as well as information on the nearest health facilities to facilitate the search for help in an emergency. The machine learning model created uses a variety of training datasets in the form of a set of images of road accident injuries. The transfer learning method is used to classify injuries and road conditions. The preliminary results of the machine learning model showed promising application potential, as evidenced by the relatively high retention rate and successful classification results. The implementation of machine learning can contribute to increased safety awareness and proactive measures to reduce road accidents and injuries.

Evaluation of the Nutrition Installation Information System at RS Melati Tangerang Using the CIPP Model

Zidni Ilma Nafi’a — 2025-04-30

The implementation of the nutrition installation information system at RS Melati Tangerang still encounters several obstacles. This research aims to evaluate the nutritional installation information system at RS Melati Tangerang using the CIPP model. This type of research is a qualitative method with a case study approach. Evaluation using the CIPP model (Context, Input, Process and Product). The 5 informants included the Head of the Nutrition Installation (1 person), the Nutritionist (1 person), the Cook (1 person), and the Waiter (2 people). Data collection techniques through interviews and observation. The data that has been collected is then analyzed through stages: data reduction, data presentation and drawing conclusions. The research results show that the problems with the nutrition installation information system at RS Melati Tangerang include: programmer limitations, not all features in the system can be used, there are parts between units that are not yet integrated in the system and do not facilitate the overall service and weak monitoring. The information system for the nutrition installation at RS Melati Tangerang received a positive response, however problems were found that had an impact on service integration. It is necessary to fulfill resource needs, build an integrated system and strengthen monitoring and evaluation.

The Relationship Between Breakfast and Tea Drinking Habits with the Incidence of Anemia in Adolescent Girls in the Randublatung Health Center Working Area

Ovita Mayasari — 2025-04-30

Anemia is a condition where the hemoglobin level in red blood cells (erythrocytes) decreases, impairing the ability of red blood cells to carry oxygen throughout the body. Adolescent girls are more susceptible to anemia due to the increased iron requirements for supporting growth and the menstrual cycle. According to the World Health Organization (WHO), the prevalence of anemia among adolescent girls worldwide remains relatively high (40-80%), with anemia in Indonesia among 15-24 years old at 15.5%. In Central Java, the prevalence of anemia is 48.9%, while the anemia rate among adolescent girls in the working area of Puskesmas Randublatung is recorded at 41.14%. This studey aims to determine the relationship beetween breakfast habits and tea consumption with the occurence of anemia in adolescent girls in the Puskesmas Randublatung working area. The research used a quantitative method with a cross-sectional design. The sampling technique used was Simple Random Sampling, and data analysis was conducted using the Chi-Square Test. The results showed a relationship between breakfast habits and tea consumptoion with the incidence of anemia among adolescent girls in the Puskesmas Randublatung working area. These findings can provide input for relevant institutions to offer education on anemia prevention, such as encouraging breakfast habits and reducing tea consumption during meals for adolescent girls.

Design and Construction of Web Application for Online Management of Electromedical Device Calibration Using Laravel Framework

Hadni Purnama Aji — 2025-04-30

This study developed a Laravel-based web application to manage electromedical device calibration data online. The application offers greater efficiency and integration compared to manual methods such as Excel or Word. Key features include centralized data storage, cloud integration, and the ability to print calibration certificates directly from the system. Using the R&D method and Blackbox testing, all features were proven to function correctly without errors. User testing also showed that the application is user-friendly and speeds up documentation processes. As a result, the system is expected to enhance the accuracy, efficiency, and professionalism of calibration data management.

Design and Construction of Infusion Channel Monitoring Device with Data Logger Spreadsheet and Telegram Notification

Muhammad Nur Setyo Pangestu — 2025-04-30

Infusion channel monitoring is the process of observing and measuring the flow of infusion fluids entering a patient's body. This is crucial to ensure the patient receives the correct dose of medication and to prevent overdosing or underdosing. This research aims to design and develop an infusion channel monitoring tool with a data logger spreadsheet and Telegram notifications. The tool uses an HX711 sensor and an ESP32 microcontroller to measure the weight of the infusion fluid, then sends the data to a server in real-time. The data is stored in a spreadsheet format and sent to the Telegram application as notifications. Testing results show that the tool has an error rate of 0.008%, making it effective for monitoring infusion conditions.