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RANCANG BANGUN ALAT MONITORING KUALITAS UDARA DIAREA PENGOLAHAN LIMBAH RUMAH SAKIT Dhiki Meirza Alfath; Wahyudi, Bayu; Mohammad Rofi’i
Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Vol 11 No 1 (2025): TEKNIKA STTKD: JURNAL TEKNIK, ELEKTRONIK, ENGINE
Publisher : Sekolah Tinggi Teknologi Kedirgantaraan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56521/teknika.v11i1.1356

Abstract

Decreased air quality caused by air pollution can cause respiratory problems if inhaled for a long period of time. The absence of air quality monitoring equipment in the waste management area means that workers do not know the level of air pollution that occurs in the hospital area. This research aims to create an Air Quality monitoring system in the Hospital Waste Processing Area. The air that will be monitored is Methane, CO, Alcohol and NH4. Data on temperature, humidity, methane gas, alcohol gas, CO gas and NH3 gas are sent via ESP32 to the smartphone and sent directly to Google Sheet in real time, so that data acquisition from this tool is stored properly. Indoor measurements showed that Methane Gas showed an average of 40.9 ppm, then around the IPALL area Methane Gas rose to 81.0, this was because methane gas around the IPALL area had increased. Indoor measurements show that CO gas shows an average of 3 ppm, then around the IPALL area, CO gas increases to 165 ppm, this is because CO gas around the IPALL area has increased. Indoor measurements show that Alcohol Gas shows an average of 1 ppm, then around the IPALL area Alcohol Gas increases to 969 ppm, this is because Alcohol gas around the IPALL area has increased. Indoor measurements show that NH4 gas shows an average of 4 ppm, then around the IPALL area Methane Gas increases to 986 ppm, this is because methane gas around the IPALL area has increased
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.
Design and Development of a Bacteria Incubator Based on Arduino Mega Microcontroller with LCD Touch Screen Display Aditya Hermawan; Mohammad Rofi’i; Pramesti Kusumaningtyas
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.v4i2.2186

Abstract

The bacterial incubator plays a crucial role in culturing microorganisms, particularly in biotechnology research and its applications. This research focuses on the development of a bacterial incubator system utilizing the Arduino Mega2560 microcontroller, operating within a temperature range of 35°C to 50°C. The system incorporates a BME280 sensor for temperature and humidity detection, a TFT touchscreen LCD for user interaction, and an integrated control mechanism for regulating both temperature and incubation duration. Performance testing involved comparing sensor readings from the prototype against standard measuring devices, yielding an average temperature deviation of 0.61%, indicating reliable and precise performance. The device also features automatic regulation of environmental conditions and real-time data visualization, ensuring consistent incubation settings based on predefined criteria. Overall, testing confirmed that the incubator performs effectively and aligns with the intended design parameters.
Design and Development of a Negative Pressure Wound Therapy Device Citra Ananda Adri Hanifa; Mohammad Rofi’i; Patrisius Kusi Olla
International Journal Science and Technology Vol. 4 No. 2 (2025): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i2.2199

Abstract

This study presents the design and development of a Negative Pressure Wound Therapy (NPWT) device aimed at improving the treatment of chronic wounds, particularly diabetic foot ulcers in patients with diabetes mellitus. The primary objective is to create an efficient, user-friendly, and portable wound therapy solution suitable for both clinical and home-based care. The device utilizes negative pressure to enhance blood perfusion, reduce exudate, and lower infection risk, thereby accelerating the healing process. The system is built using a NodeMCU ESP32 microcontroller, a vacuum motor pump, HX710 pressure sensor, solenoid valve, and a Nextion LCD interface. It supports three therapy modes—Continuous, Intermittent, and Dynamic—controlled by a PID algorithm to maintain stable pressure between -25 to -150 mmHg. Testing was conducted at three measurement points: battery voltage, sensor accuracy, and LCD interface functionality. Results indicate that the device performs effectively within expected operational parameters across all modes. The NPWT prototype offers a cost-effective, functional alternative for wound care management and shows promise for further development, including digital integration and broader clinical applications.
Classification of Skin Cancer Diseases Using KNN, CNN and SVM Methods Mohamad Sofie; Mohammad Rofi’i; 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.v5i2.3844

Abstract

According to the WHO, about 2 to 3 million non-melanoma.non-melanoma skin cancers and 132,000 melanoma skin cancers occur globally every year, making up one out of every three cancers.globally each year, and account for one in every three cancers diagnosed.diagnosed. In Indonesia, skin cancer is listed as the cancer with the third highestincidence after uterine cervical and ovarian cancer, and breast cancer.Skin cancer can be detected with dermoscopy. Dermoscopy is a non-invasive diagnostic technique using optical magnification that allows visualization of morphologicHowever, this cannot be done optimally because it still relies on manual analysis so it cannot classify skin cancer types on larger datasets with potential errors and low accuracy. To accurately determine the type of skin cancer,a better classification method is needed. The purpose of this research is to determine the accuracy of skin cancer calcification using Convolutional Neural Network (CNN), support vector machine (SVM), K-nearest neighbor (KNN) models. The datasheet used amounted to 2,239 containing skin cancer images with class division 114 actinic keratosis, 376 basal cell carcinoma, 95 dermatofibroma, 438 melanoma, 357 nevus, 462 pigmented benign, 77 seborrheic keratosis, 181 squamos cell, 139 vascular lesion. The results showed that the convolutional neural network (CNN) algorithm model obtained a sensitivity of 92.59%, specificity of 99%, precision of 93%, F1-Score of 93.01%, and accuracy of 98.35%. For the KNN algorithm model, 57.77% sensitivity, 94.53% specificity, 64.25% precision, 55.99% F1-Score, and 90.45% accuracy were obtained. And for the SVM algorithm model, 61% sensitivity, 94.81% specificity, 70.23% precision, 61.26% F1-Score, and 91.17% accuracy were obtained.
Simple Medical Waste Incinerator Design and Construction Bayu Wahyudi; Muhammad Iqbal Maulana; Mohammad Rofi’i
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.v5i2.4359

Abstract

Medical waste management is a major concern in protecting public health and the environment. This study aims to design and test a simple medical waste incinerator controlled by a microcontroller, intended for use in small-scale healthcare facilities. The method used was research and development (R&D), involving need analysis, system design, hardware assembly, and performance testing of the components and waste combustion effectiveness. The results indicate that the system operates stably with voltage error rates below 1% and high temperature sensor accuracy. The incinerator achieved an average combustion effectiveness of 95% across four types of disposable medical waste. The tool can operate automatically based on temperature and time settings, utilizing readily available and energy-efficient electronic components. These findings suggest that the developed incinerator is suitable as an alternative solution for medical waste treatment in clinics or health centers and has potential for further development into an environmentally friendly and sustainable incineration system.
Maintenance and Repair of BMV Brand Patient Monitor Equipment, Type BMO-200 at STIKES Semarang Arya Surya Andika; Imam Tri Harsoyo; Mohammad Rofi’i
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.v5i2.4905

Abstract

This research aims to carry out maintenance, and repair, on the BMV BMO 200 Patient Monitor used at STIKES Semarang. This device is vital in monitoring patients' physiological conditions such as heart rate, blood pressure, body temperature, and oxygen saturation. The identified issue was a blurry LCD screen caused by aged backlight components. The study employed a hands-on approach and direct observation. The stages included damage analysis, replacement of the backlight and polarizer components, and calibration using a fluke meter and voltage measurement. The repair results showed that replacing the entire LCD module restored a clear display and returned the device to proper working condition. This research highlights the importance of regular maintenance and calibration in ensuring the reliability of medical equipment for patients.