This paper presents a number of experiments through simulations to find out the type of inverter that is suitable for homescale needs. By simulating 2 different inverter topologies, multilevel inverters and single-phase inverters. Testing is done using three different switching control techniques, namely by using PWM (Pulse Width Modulation), SPWM (Sinusoidal Pulse-Width Modulation) and PWL (Piecewise ‐ Linear). Each topology will also be tested using transformers and without transformers. The simulation results on PSpice display using a DC voltage source of 48 Volt or 220 Volt and produce AC output of 220-227 Volts, which has a THD (Total Harmonic Distortion) of 1.81% and efficiency of 98%.

The health early detection system for kindergarten students helps teachers to monitor the health conditions of students. For this reason, the purpose of this system is to propose a system that can detect the health of kindergarten students so that teachers can concentrate more on teaching. This paper presents a technique of combining facial recognition and movement classification for health classifications. For expression recognition, this system uses the PCA method to extract features, then the Euclidean distance algorithm is used to calculate between Eigen Face images and test images. Classification of movements, this study uses two classifications namely active and inactive. For recognition of facial expressions, this system obtains an accuracy of 83.75%.

The performance of the Permanent Magnet Generator is determined by the value of the voltage. The value of the voltage or waveform of the output of the generator is determined by the type of material used. The different types of material can be varied for core and permanent magnet material, namely 3 types of Core material and 2 types of permanent magnetic material to measure the output voltage using MagNet software. The results of simulation and data analysis show that the use of Carpenter type core material and Neodymium-Ferrite-Boron type permanent magnet material produces the maximum output voltage value compared to other material combinations which is equal to 67,625 Volts.

This study aims to build an android-based blood donor application, an android-based blood donor application at PMI Sumbawa Regency. This application was developed with the Java programming language using Android Studio, MySql and Firebase as a database. Software development method using Prototype Model. Software testing is done through Beta Testing. Data collection techniques in research using observation, documentation and interviews. The result of this study is an android-based blood donor application that is useful to help the community to get information regarding blood donors at PMI Sumbawa Regency and become one of the forms to support the Sumbawa Smart City Movement.

Financial fraud is an important problem because it can detrimental firm in the modern business world. An audit is carried out to prevent and be responsible for detecting fraud. External audit is one of the audit practices conducted outside of the firm internal audit by visiting firms in carrying out the work of financial report audit data. The application of machine learning can be used as a solution in the use of data analysis methods needed to solve these problems. This study proposes a Support Vector Machine (SVM) method by combining the Ensemble Bagging model to improve single classification performance. Data comes from 14 different corporate sectors with 777 records. The results showed that the Ensemble Bagging model could improve the accuracy of classification performance from the Support Vector Machine (SVM) method and achieved the highest accuracy of 89.95%. Based on the results of the accuracy obtained, the Support Vector Machine (SVM) method with the Ensemble Bagging model can be used to detect fraud in the firm.

Supervision of industrial emissions in big cities is very important. Providing oversight of industrial emissions will provide benefits in maintaining excessive air pollution. In this condition we can see that the importance of reducing air pollution in this industial era. In current conditions, the industry uses an emission reading device whose size is not very practical because of its large size. Design a more optimal program by utilizing the role of gas sensors in reading several types of gas. In reading the gas value, a reading and calibration process is carried out using matlab and optimizing the program made in reading the value of the amount of gas emission content in PPM (Part per Million) units. With the method we are using now, it will be a more practical method without reducing the efficiency of the industry’s emissions measurement.

Fe(II)cysteindithiocarbamate complex has been synthesized by an in-situ method. Complex characterized using Ultra Violet Visible (UV-Vis), Infra Red (IR), melting point and molar conductivity. The presence of UV-Vis maximum spectrums of Fe(II)cysteindithiocarbamate at 245 nm and 354 nm indicated that electronic transition π→π* dan n→π* of CS2 and N=C=S. While the presence of IR spectra at the wavelength in the region of 393-540 cm-1 indicated that has been coordination occurred between Fe(II) with Sulphur (S), Nitrogen (N) and Oxygen(O) atoms from cysteinedithiocarbamate ligands. Anticancer activity tests of Fe(II) complex and metals without ligands on the breast cancer cell line (MCF-7) were carried out in vitro. The results of the cytotoxicity test showed that Fe(II) complex had the potential as an anticancer for MCF-7 cancer cells compared to metals without ligands which showed a non-toxic effect on cancer cells.

Numerical investigation of heat ventilation on the traditional house attic of Buginese in a hot and humid tropical climate was carried out using computational fluid dynamics models. The Navier-Stokes (RANS) modeling approach is used for numerical investigations. Determined the breakdown of steady-state conditions by using SolidWorks Flow Simulation software. Based on various flow simulations, numerical results obtained for temperature distribution, airflow patterns, indoor turbulence characteristics, Dynamic pressure, Density, and Turbulent Viscosity are presented. Using numerical results, it is known that the stack effect lowers the Attic temperature by increasing the airflow in it.

The "in situ" method is used to synthesize the Mg (II) isoleucinedithiocarbamate complex. This complex is characterized by using Ultraviolet-Visible Spectroscopy (UV-Vis) and Infra Red (IR) Spectrum maximum. In addition, measurements of melting and conductivity are also carried out. The results obtained for UV-Vis Mg (II) isoleucinedithiocarbamate at 267 nm and 486 nm indicate that electronic transitions π → π * and n→π* from CS2 and N = C = S. IR spectra at wavelengths in region 391- 536 cm-1 shows that there has been coordination between Mg (II) and Sulfur (S) atoms, Nitrogen (N) and Oxygen (O) from the isoleucinedithiocarbamate ligand. Cytotoxic test of the Mg (II) isoleucinedithiocarbamate complex has IC50 = 11008.33 μg / mL. These results indicate that MCF-7 cells undergo apoptosis seen from morphological changes.

The aim of the study was to reduce the computational time of the document search by using the K-Means and K-Nearest Neighbor algorithm. The search result through search engines with display the documents according to the keywords entered. The number of documents that were displayed will make the user difficult to fine the required documents and it a long time for the display process of the documents. K-Means algorithm is used for the clustering documents obtained through online with search engine whereas algorithm K-Nearst Neighbor is used for grouping the clustering result document that are done with offline. The clustering with K-Means can reduce computational time on the news grouping by using K-Nearst Neighbor. The combination of two methods result an average time of 0.5011 seconds. Whereas the grouping that uses pure K-Nearst Neighbor requires the computational time 2.4841 seconds. The test result indicated that the combination of the two algorithms resulted accurate classification with the faster computation time.