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All Journal Jurnal Kajian Ilmiah Kesehatan Dan Teknologi (JKIKT)
Rakhmad Rizkiansyah
Program Studi D3 Teknik Elektromedik, Politeknik Unggulan Kalimantan
Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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MONITORING BAYI BILIRUBIN PADA ALAT PHOTOTHERAPY MENGGUNAKAN MODUL KAMERA OV 7670 BERBASIS INTERNET OF THINGS Muhammad Akbar Hariyono; Muhammad Fuad Syauqi; Rakhmad Rizkiansyah; M Risky Saputra
Jurnal Kajian Ilmiah Kesehatan dan Teknologi Vol. 5 No. 1 (2023)
Publisher : Politeknik Unggulan Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52674/jkikt.v5i1.103

Abstract

Cases of jaundice (hyperbilirubinemia) is a condition that is often found in newborns. About 50-70% of term babies and 80-90% of premature babies have hyperbilirubinemia. Jaundice or hyperbilirubinemia occurs due to too high levels of bilirubin in the blood. This situation occurs because the function of the liver (liver) in newborns is not yet perfect to break down and remove bilirubin from the body. When this happens, the skin and the whites of the baby's eyes are yellow (jaundice). At first, light therapy is done using natural methods, namely with a source of sunlight. However, due to the limited effective time for irradiation, which can only be done between 07.00-09.00 in the morning, this therapy cannot be carried out throughout the day. The development of this tool uses the Arduino uno control system and the OV 7670 camera module to make it easier for health workers to control babies. This tool has a speaker that has advantages for 2-way communication so that movement and sound will be heard on the user's cellphone. This research uses quantitative methods with a development research approach or better known as Research & Development (R&D). In the health sector, products produced through R&D research are expected to increase health productivity, namely security and safety when using tools. Based on the measurement results of the bluelight lamp, it was found that the wavelength value of the lamp got an average accuracy value of 96.26%. The results of the validation assessment from the material expert validator get an average interpretation value (81) and the media expert validator gets an average interpretation score (84), making the Bilirubin Baby Monitoring tool on the IoT-Based Photetherapy Tool 'Very Good' to use.
RANCANG BANGUN TIMBANGAN BERAT DAN TINGGI BADAN IDEAL BERDASARKAN METODE BROCHA DENGAN KELUARAN SUARA BERBASIS ARDUINO MEGA 2560 Kusnadi Kusnadi; Hikmah Maya Sari; Rakhmad Rizkiansyah; Elysa Aziza Putri
Jurnal Kajian Ilmiah Kesehatan dan Teknologi Vol. 6 No. 2 (2024)
Publisher : Politeknik Unggulan Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52674/jkikt.v6i2.159

Abstract

The measurement of a patient's weight and height is of great importance in the context of medical examinations, as it allows for the early detection of diseases. However, it is important to note that many individuals do not have an ideal body weight, with some being overweight and others underweight. Being overweight can lead to obesity, while being underweight is often associated with malnutrition. Therefore, the objective of this research is to develop a weight and height scale based on the Broch method with accurate output and printable results. The research methodology employed is research and development (R&D). The methodology employed in this research comprises preliminary research, product design, design review, design revision, product testing, and validation. Based on the results of the product testing, the following conclusions can be drawn: the adapter output voltage measurement is 12.13 VDC, with an error of 0.13 VDC and an error of 1.1%. The average voltage measured during testing of the Arduino Mega 2560 was 5.01 VDC, with an error of 0.01 VDC and an error of 0.2%. Ultrasonic sensor readings at a distance of 185 cm demonstrated no error (0 cm), with an error of 0%. Load cell readings at a distance of 40 kg exhibited an error of 0.67 kg and an error of 1.6%. The validation assessment received a rating of 100% from material experts and 96% from media experts. Referring to the feasibility category table, the result is designated as "very eligible".
Co-Authors Elysa Aziza Putri Hariyono, Muhammad Akbar Hikmah Maya Sari Kusnadi Kusnadi M Risky Saputra Muhammad Fuad Syauqi