Isi Piringku atau My Meal Dish Content was a program initiated by the Indonesian ministry of health to promote a healthy daily lifestyle consisting of balanced dietary, enough hydration, active lifestyle, cleanliness and body weight control. The balanced diet meal was supposed to consist of ⅓ of carbohydrate intake, ⅓ of vegetable intake, ⅙ of fruit intake and ⅙ of protein intake every time. This introduces some difficulty that every meal must be measured to align with the dietary guidelines. This study targets estimating the meal diet proportion by its visual cues using smartphone application. While the actual meal content dietary division was weight based, for sake of simplicity the proportion in this study was estimated by each food area which roughly correlates to its volume. Using smartphone cameras in Android 9 Operating Systems and Tensorflow Lite Seefoods: Mobile Food Segmentation v1.0 module, an application was built to help users estimate their meal balances proportion. The original segmentation criterion was constructed using USDA dietary guidelines and it was reduced to only 4 food groups related to Isi Piringku criterion. Suggestion will be given regarding the segmentation result. The result was that the application was capable of estimating the meal diet proportion and giving suggestions based on the segmentation result. Although, the volume of the meal food groups estimated was still low on accuracy. This was correlated with the accuracy level of the segmentation module that was used. On average, the time needed to apply the segmentation process was around 2 to 3 seconds on a Snapdragon 835 device.

Nosocomial infection is a health issues related to the in-hospital activities. One of the indirect cause was the contamination related to the waste disposal activity. All hospital waste was deemed hazardous that it needs extra care during collection. Cross contamination may arises when the waste containers was not treated. To alleviate the problem and to promote healthy habits, this article describe a smart disinfectant sprayed waste collection container and its status reports. By automating the lid opening and closing that was triggered by human proximities using passive infrared detector and ultrasound sensor, it provide convenience in waste disposal. This also prevent cross contamination related with physical contact with the waste container which may induce the nosocomial infection. The container also tracking its remained waste capacity and will report when it was almost full to prevent overflowed and to alarmed for immediate waste pickup. In case of delayed container collection, the lids will remain closed and the light indicator turn to red. The indicator will turn green in normal conditions and turn yellow if the container was almost full. ESP32 was used to interface with ultrasound sensors to approximate the container remaining capacity. Passive infrared sensor and a servo motor was linked to actuates the lid opening and closing. Some disinfectant was sprayed for every detected increase in waste level. The disinfectant aerosol canister was pushed by a DC motor. For reporting, the systems was equipped with LoRa for status report. This systems was tested inside Poltekkes Kemenkes Jakarta II building and could reach at least 80m distance from the report center for reporting.

This paper presents a result of experiment on adding built-in blue light therapy on a purpose built infant warmer. Blue light therapy are often used in case of jaundice and usually a separated unit with added complexity. The blue light assembly was LED based that placed along the heater bar, placed on its aluminum strips and spaced to prevent being affected by the heater. Blue light LED specification was an SMD 5730 dimension with 465nm wavelength driven at 160mA at 12V for the three clusters of LED. Measured light output was around 618-716 lux and measured at the bed area with good uniformity for area under the heater bar at around 60-69 lux. There was another bottom blue LED source but the effect was negligible. The system uses a 10A maximum current source of 12V power supply exclusively for the LED arrangement and another 3A maximum current source of 5V power supply for supplying the rest of the control systems. The LED was controlled by a switch button and monitored for its activation by means of measuring the voltage difference with resistor circuits through the button switch. It works as intended.