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Development of a surgical guide using open-source software for a dental implant placement Mayasari, Dita Ayu; Kurniatie, Menik Dwi; Prasetyanto, Wisnu Adi; Fadhila, Shafa Salsa; Wicaksono, Bonifasius Primario; Hendrawan, Reza Dony
Majalah Kedokteran Gigi Indonesia Vol 11, No 1 (2025): April
Publisher : Faculty of Dentistry, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/majkedgiind.96091

Abstract

Dental technology has advanced significantly in recent years, particularly with regard to the placement of dental implants to replace lost teeth. One such technology is the use of a dental implant guide as a tool to assist with implant installation. The primary purpose of a dental implant guide is to assist the dentist in placing implants with accuracy and precision to maximize operation success and minimize risk of problems. Dental implant guides customized to each patient’s unique tooth and jaw architecture are made possible in large part by digital dentistry. To ensure that the implant is positioned optimally in relation to the patient’s teeth and jaw anatomy, customization is important. Using the AutoDesk meshmixer for modeling and manufacturing, a 3D slicer to segment the mandible using a 3D segmentation approach and 3D printing using resin and filament are all part of the dental implant guide design process. To improve precision and customization in the placement of dental implants, this comprehensive strategy makes use of digital dentistry.
Development of a Calorie Calculator Application Utilizing Height and Weight-Based Conversion Junior Maulidiansyah; Mohammad Rofi’i; Wisnu Adi Prasetyanto
Jurnal Kesehatan dan Kedokteran Vol. 4 No. 2 (2025): Juni: Jurnal Kesehatan dan Kedokteran
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jukeke.v4i2.2156

Abstract

The advancement of information technology has significantly contributed to innovations in the health sector, including the development of digital tools that support nutrition management and healthy lifestyle practices. One essential aspect of maintaining health is managing daily caloric intake based on individual metabolic needs, which are influenced by factors such as age, gender, height, weight, and physical activity. However, many individuals are unaware of how to accurately calculate their caloric requirements. Therefore, a practical and accurate system is needed to provide personalized calorie recommendations.This study presents the design and development of an Android-based calorie calculator application that estimates daily energy needs using user inputs: age, gender, height, weight, and activity level. The application integrates two well-known formulas—Harris-Benedict and Mifflin-St Jeor—to calculate Basal Metabolic Rate (BMR) and determines Total Daily Energy Expenditure (TDEE) by categorizing physical activity as light, moderate, or intense. In addition, the app includes a Body Mass Index (BMI) calculator to indicate the user's nutritional status. Developed using the Kotlin programming language in Android Studio, the application is designed with a user-friendly interface to enhance user experience. Functionality testing demonstrated that the application provides accurate estimations of caloric needs and reliable BMI categorization based on user input. The outputs are consistent with results from existing online calorie calculators, confirming its precision and usability. This calorie calculator application is expected to function both as an educational and practical tool for individuals seeking to adopt a balanced diet and effective weight management strategy.
Adopsi dan Difusi Teknologi Pengukuran Tekanan Intraokular Non-Invasif Pada Pemeriksaan Kesehatan di Kota Semarang Wulandari, Sari Ayu; Prasetyanto, Wisnu Adi; Arsita, Cynthia; Pambudi, Arga Dwi
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 9, No 1 (2026): JANUARI 2026
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v9i1.3236

Abstract

The Community Service Program (PKM) in Semarang City, Central Java, aims to address the low adoption of smart city technology, particularly in health screening initiatives. Amid a rising prevalence of glaucoma, the rate of eye disease screening in this region remains low. This PKM initiative offers the development of an affordable, non-invasive tonometer for intraocular pressure measurement to facilitate early glaucoma screening and monitoring. The implementation includes device design, screening participation surveys, and analysis of measurement results compared to a reference tonometer. This tool is expected to aid in early glaucoma detection and help reduce adoption barriers to technology. Surveys conducted before and after the program indicate increased public understanding, while calibration tests show the device has high accuracy with a minimal error rate of 1.71 mmHg, demonstrating its effectiveness for intraocular pressure screening.
Design and Construction of a Blood Type Detection Device with a Color Sensor Based on Arduino Uno Ilham Qomaruzzaman; Wisnu Adi Prasetyanto; Bayu Wahyudi
Journal of Engineering, Electrical and Informatics Vol. 5 No. 2 (2025): June: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v5i2.5145

Abstract

A Blood Type Detector is an electronic device used to detect human blood types. Blood type detection and observation are generally carried out through a series of experiments on blood samples, namely antiserum reactions (anti-A, B, AB, and D). Currently, determining a person's blood type is still done manually. This will certainly be complicated and require extra attention if the blood sample to be tested is quite large in number, it will take a lot of time and is inefficient. The purpose of research on a Blood Type Detector Tool with an Arduino Uno-Based Color Sensor is to improve the efficiency, accessibility, and quality of health care as a whole. As well as ease of access and data processing for users. This tool is designed using a Color Sensor so that it can detect the occurrence of agglutination or non-agglutination reactions from blood samples that have been mixed with antigens. The working system settings of this tool are based on Arduino Uno, the results of which will be displayed on the LCD, then a sound will appear from the results of the blood type being read. In the blood type test function test process, a blood sample and antigen are required, where the blood sample and antigen are mixed together, the ratio is one drop of blood with one drop of antisera, then stirred together, so that agglutination or non-agglutination occurs in the blood sample that has been mixed with the antigen. After sampling, the blood type tester will detect the four blood samples dropped onto the sample card. When the blood sample in anti-A and AB coagulates, the sensor will read a value of >200 for blood type A.