One of the important parameters for electrical systems is the power factor (cos phi), which is the ratio of the real power (watt) to the apparent power (volt ampere). The best cos phi value is between 0.85 to 1. A resistive load causes the voltage and current in equal phase angle, while the inductive load causes the current to lag behind the voltage. On the other hand, the capacitive load causes the current to precede the voltage (leading). A simulation to determine the power factor of an electrical network can be done with Proteus ISIS software by creating a phase detection circuit. Automatic control can be done by a microcontroller. This simulation circuit can be used as power factor correction, a trigger angle on SCR trigger for DC motor speed control, for rocket launch angle adjuster, to measure the angle of inclination, and other uses relating to angle adjustments.

Nowadays, health care has turned out to be more technology-oriented. Today's technology is demanded to be practical and easy to use. The number of mobile devices based on the Android operating system has increased significantly based on data. The open-source nature of android helps in programming applications easily according to user requirements. The syringe pump is a medical device that functions to enter the medicinal fluid into the patient's body at a specific dose and time automatically in mL/hour. The syringe pump is generally equipped with an alarm. Alarms have a vital function to provide information to nurses or doctors on duty. Medical officers cannot hear alarms outside the patient monitoring room. This paper aims to design a syringe pump that is equipped with a NodeMCU8266 WiFi module to provide notifications via a smartphone so that nurses or doctors can know the alarm even though they are outside the patient monitoring room. So, this is expected can improve patient safety. In addition, this paper also aims to verify the size of the syringe against the drug flow rate. Based on the test results, the syringe pump can control the drug flow rate with a sensor accuracy of 0.0217 and an error rate of 0.6% at a target volume of 5mL. The syringe pump can also send alarm notifications to smartphones in real-time.

Dewasa ini telah ditetapkan standar operasional prosedur untuk praktik venipuncture. Phlebotomyst yang melakukan tindakan tersebut harus memberi suatu alat pada area bawah siku pasien sebelum melakukan tindakan venipuncture. Fungsi alat ini salah satunya untuk memberikan kenyamanan pada pasien serta memudahkan akses flebotomis mencari pembuluh darah vena. Fakta di lapangan menunjukkan belum ada suatu alat fungsional yang khusus digunakan untuk phlebotomyst melakukan pengambilan darah vena secara efektif dan efisien. Alat yang biasa digunakan oleh phlebotomyst dapat berupa benda-benda apa saja yang difungsikan untuk meluruskan tangan pasien dan terkadang menggunakan benda-benda seadanya yang dapat menimbulkan ketidaknyamanan, kecemasan, menyebabkan terjadinya hematom dan media untuk menularkan penyakit serta kualitas dari sampel yang kurang baik. Tujuan dari penlitian ini adalah untuk membuat suatu alat yang dapat digunakan untuk memberikan kenyamanan pada pasien, serta mengurangi risiko terjadinya hematom (pecahnya pembuluh darah) saat dilakukan tindakan venepuncture. Pada penelitian ini, kursi phlebotomy berbasis IoT telah berhasil dibuat menggunakan Node MCU tsp 8266 serta linier actuator hidrolik. Bagian lengan pada kursi tersebut diberikan bantalan yang lembut serta dapat diatur ketingggiannya sesuai dengan kenyamanan tangan pasien. Pengaturan ketinggian dapat dilakukan secara otomatis menggunakan smartphone. Dengan adanya alat ini diharapkan pengambilan sampel darah pasien lebih efisen, efektif, serta memenuhi syarat dan standar, sehingga pasien merasa puas terhadap pelayanan laboratorium yang diberikan.

Transformer oil is a liquid insulating material that is used as insulator and as a coolant in transformers. In this study, the addition of clove oil to extra virgin olive oil were performed to determine its effect on antibacterial activity and its usefulness in its ability as a transformer oil. The breakdown voltage test on transformer oil is carried out using various oil temperatures (room temperature and 90oC) because the oil temperature inside the transformer when working/operating can be different, which can be caused by disturbances, excessive loading, and temperature conditions outside the transformer. In addition, the presence of contamination caused by chemical interactions with windings and other solid insulation is catalyzed by high operating temperatures. That causes a gradual change in the original chemical properties of the oil and microbial growth that over time makes it ineffective for use. The method used in this research is by mixing 10%, 20%, 30%, 40%, and 50% of clove oil with extra virgin olive oil to determine the change in breakdown voltage and microbial activity. The test results found that, the addition of clove oil has a vital role in inhibiting bacterial growth. The more clove oil added, the better its antimicrobial properties.

Escherichia coli bacteria sensors have been broadly developed broadly to overcome a diarrheal disease caused by Escherichia coli on poor hygienic water. Sensing layer, as a main part of the sensor, contacts directly to the analyte on sensors system. Some materials were costly and harmful to detect bacteria. Potentially, graphene is a natural carbon derivative with some excellence properties; easy synthesis, and biocompatible. Hence, the quality of the SiO2/graphene sensing layer was conducted through optical, physical, and electrical characterization to analyze biocompatibility, repeatability, and selectivity. The result showed that Escherichia coli bacterial growth was found around SiO2/graphene after bacterial exposure indicating a biocompatible material. Raman peak also pointed the fingerprint of graphene after 25 times Escherichia coli exposure through G (1584.52 cm–1) and 2D peak (2701.5 cm–1) promising as a repeatable material. The ID/IG ratio increased by the time the bacteria exposure times increased indicating a withstand material from defects and or disorders after bacteria exposure. Through I/V meter, the increasing number of Escherichia coli could increase the resistance value of SiO2/graphene. This sensing layer could detect the presence of Escherichia coli in limit of detection 16 CFU/mL.