<p>Denyut jantung dan suhu tubuh merupakan salah satu faktor penentu atau tanda tanda vital dalam penentuan kesehatan. Denyut jantung dan suhu tubuh dilakukan untuk mengetahui tanda klinis dan berguna untuk memperkuat diagnosis suatu penyakit. Pada proses pemeriksaan denyut jantung dan suhu tubuh masih menggunakan sistem manual dimana pasien harus datang ke rumah sakit untuk memeriksa denyut jantung dan suhu tubuh. Sistem ini kurang efektif karena memakan banyak waktu. Pada penelitian ini dibuat sebuah sistem monitoring denyut jantung dan suhu tubuh sebagai indikator level kesehatan pasien berbasis iot (internet of things) dengan metode fuzzy menggunakan android. Sistem ini menggunakan pulse sensor untuk mendeteksi denyut jantung dan LM35DZ untuk mendeteksi suhu tubuh. Pemroses data menggunakan arduino uno dan nodemcu yang sekaligus berfungsi sebagai media pengiriman data menggunakan internet of things. Sistem ini mendeteksi denyut jantung dan suhu tubuh jarak jauh. Sistem ini dilengkapi dengan fitur interface android dan desktop, simpan data dan keputusan sehat atau tidak. Dari hasil pengujian tingkat keberhasilan mendeteksi denyut jantung adalah 97.71%, suhu tubuh sebesar 99.69%, tingkat keberhasilan pengiriman data sebesar 50%, dan keputusan sesuai dengan rule kesehatan yang telah ditentukan. Dari hasil tersebut sistem sesuai dengan yang diharapkan.</p>
The leaves of Plectranthus amboinicus (Lour.) Spreng. (Lamiaceae) is a perennial plant that contained flavonoids compounds with have antidiabetic properties. The aim of the work was to select the best solvent for extraction of the flavonoid compounds from torbangun leaves. A statistical simplex-centroid mixture design for the water, ethanol, and hexane solvents has been used to the extraction of extract yield, flavonoids content, and inhibitory α-glucosidase activity of torbangun leaves. The ethanol-water extracts showed the highest extract yield with value of 15.92%. The ethanol-hexane extracts presented the highest total flavonoids content, 96.30 mg QE/g, followed by hexane extract (82.91 mg QE/g). The ethanol extract recorded higher inhibitory of α-glucosidase activity, with value of 25.53%, followed by hexane extract (25.21%), and ethanol-water extract (23.02%). The weak correlation between the α-glucosidase inhibition and total flavonoids content showed that flavonoids contribute non-significantly to the α-glucosidase activity.
The purpose of this research is to design and realize a pipe leak detection system that can be monitored with an Android application. Water flow sensor is used to determine the flow of water, with water flow rate analysis it is possible to know the leakage area, pipe leakage rate, and the number of leaks in pipe area if there is a water flow rate decrease. The data is processed with an NodeMCU microcontroller based on Internet of Things (IoT). The accuracy of all water flow sensors after calibration is 97,53%. When testing with the determination of each leaked area the results are appropriate. The reading of each water flow rate decrease that occurs has an accuracy of determiningthe leakage rate of 90,2% while the suitability of reading the number of leakage areas depends on the detection of the leakage area and the classification of the leakage rate. The greater the water flow reads on the sensors, the precission level to determine the level of water pipe leakage is getting better, and vice versa, this is due to sensors having variable variations in flow rate readings.
Mutation induction by colchicine is one method to improve plant genetic diversity (polyploidy). This study aims to 1) obtain growth regulators composition suitable in inducing callus, 2) obtain the LC50 value in callus of P. amboinicus, 3) to determine the effect of colchicine on callus growth, 4) to get shoots (putative mutant) varian, regenerating from indirect organogenesis (callus) in MV1. The study is conducted at the Laboratory of Agricultural Seed Management, Plantation Research, and Development Center from June 2018 to June 2019. The study uses a complete randomized design with four treatments and three replications. Explants use ware the nodes. Callus induction uses MS0 medium with 0.5 ppm 2.4-D, 2 ppm 2.4-D, 0.5 ppm 2.4-D + 1 ppm BAP, and 0.5 ppm 2.4-D + 0.5 ppm TDZ treatment. Mutation induction was performed using colchicine concentration at 0%, 0.02%, 0.04%, and 0.06% treatments. The regeneration media is an MS0 medium. The results show the best combination of plant growth regulators to induce the callus is 0.5 ppm 2.4-D. The LC50 colchicine concentration is at 0.0275%. However, this phenotype is reversible. An additional subculture period is required to move to normal morphology
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