Implementasi Logika Fuzzy pada Alat Cuci Tangan Otomatis Portabel dengan Sistem Monitoring Berbasis Android

Fuzzy Logic Implementation on A Portable Automatic Handwashing Station with An Android-Based Monitoring System. When the COVID-19 pandemic hit the world and Indonesia, washing hands with soap was the first step to prevent the virus from entering the body. The hand washing facilities used by the community are still operated by hand. This creates an opportunity for the virus to spread. This study aims to create a hand washing facility using ultrasonic and Arduino sensors to avoid touching method in its operation, and a monitoring system with Android to monitor waste, water and soap which is equipped with features facilitating the maintenance system. This study implemented fuzzy logic in determining the engine ignition reaction with the hand distance indicator to the sensor. The result of testing the accuracy of the ultrasonic sensor to read hand distance is 92.65%.Keywords: Fuzzy Logic, Android, Handwashing Station Abstrak. Saat pandemi COVID-19 melanda dunia dan Indonesia, mencuci tangan dengan sabun merupakan langkah awal pencegahan virus masuk ke dalam tubuh. Sarana cuci tangan yang digunakan oleh masyarakat masih dioperasikan dengan tangan. Hal tersebut menyebabkan peluang penyebaran virus. Penelitian ini bertujuan membuat alat cuci tangan menggunakan sensor ultrasonik dan Arduino untuk menghidari metode sentuh pada pengoprasiannya, dan sistem monitoring dengan Android untuk memantau limbah, air dan sabun yang dilengkapi dengan fitur yang memudahkan sistem perawatan. Penelitian ini menggunakan logika Fuzzy dalam menentukan reaksi penyalaan mesin dengan indikator jarak tangan ke sensor. Hasil pengujian keakuratan sensor ultrasonik untuk membaca jarak tangan ialah 92.65%. Kata Kunci: Logika Fuzzy, Android, Alat Cuci Tangan

Research Methodology of the Sleeve-Target System with Miss Distance Indicator of the Unmanned Aerial Target Imitator

The article presents the method of using a modified acoustic miss distance indicator applied together with the set of controlled aerial target imitators (ZSMCP) Jaskółka “Swallow” operated in the Polish Armed Forces. The described method enables the implementation of controlling and testing the new CZT imitators and inspect the technical condition of these, which are still operated.

Carbon stars as standard candles – II. The median J magnitude as a distance indicator

ABSTRACT We introduce a new distance determination method using carbon-rich asymptotic giant branch stars (CS) as standard candles and the Large and Small Magellanic Clouds (LMC and SMC) as the fundamental calibrators. We select the samples of CS from the ((J − Ks)0, J0) colour–magnitude diagrams, as, in this combination of filters, CS are bright and easy to identify. We fit the CS J-band luminosity functions using a Lorentzian distribution modified to allow the distribution to be asymmetric. We use the parameters of the best-fitting distribution to determine if the CS luminosity function of a given galaxy resembles that of the LMC or SMC. Based on this resemblance, we use either the LMC or SMC as the calibrator and estimate the distance to the given galaxy using the median J magnitude ($\overline{J}$) of the CS samples. We apply this new method to the two Local Group galaxies NGC 6822 and IC 1613. We find that NGC 6822 has an ‘LMC-like’ CS luminosity function, while IC 1613 is more ‘SMC-like’. Using the values for the median absolute J magnitude for the LMC and SMC found in Paper I we find a distance modulus of μ0 = 23.54 ± 0.03 (stat) for NGC 6822 and μ0 = 24.34 ± 0.05 (stat) for IC 1613.

What is the best way to take internet usage into consideration in the different variants of the active ageing index?

The paper provides a brief description of the Active Ageing Index (AAI). This indicator, introduced in 2012, aims to measure the potential of older people for active and healthy ageing. The indicator is constructed from European Union survey data, and these results are weighted with coefficients determined by experts. One of the variables from the surveys measures the proportion of older people using the internet at least once a week. We argue that such regular internet usage does not show too much variation in this era of the ubiquitous internet, so a more sophisticated definition of internet usage must be taken into consideration. Our discussion contains three different AAI variants: the original expert-based, the Djurovic et al. (2017) I-distance indicator, and our factor-based index.

Shedding Light on the Doing Business Index: a Machine Learning Approach

Background: The World Bank (WB) acknowledged the importance of business regulatory environment and therefore created a metric which ranks 190 countries based on their level of business regulation for domestic firms measured by the Doing Business Index (DBI).Objectives: The question which attracted our attention is whether all the observed entities should be given the same weighting scheme.Methods/Approach: The approach we propose as an answer is two-fold. First, we cluster the countries covered by the DBI. In the next step, we apply the statistical multivariate Composite I-distance Indicator (CIDI) methodology to determine new, data-driven weights for each of the retained clusters.Results: The obtained results show that there is a difference between the weighting schemes proposed by the CIDI methodology.Conclusions: One can argue that one weighting scheme does not fit all the observed countries, meaning that additional analyses on the DBI are suggested to explore its stability and its weighting scheme.

A New Approach to the Evaluation of Public Procurement Efficiency among European Countries

Public procurements have been high on the agenda of policy makers, decision makers, scholars, and other interested parties in Europe in the last few decades, as such procurements make up nearly one-fifth of Europe’s total gross domestic product. Nevertheless, not many attempts have been made to measure the efficiency of public procurement systems and accordingly rank European countries. The most important measurement that highlights this issue is the Single Market Scoreboard for Public Procurements. However, this scoreboard is subject to bias and numerous omissions, which significantly decreases its operational usage and deteriorates the real efficiency of public procurements. This article aims to rank European countries in an unambiguous, objective, and impartial manner by using the Composite I-distance Indicator (CIDI) methodology. Instead of using biased weights for individual indicators, assigned by experts, the CIDI method creates new weights in an objective manner. The study analysed 30 European countries. The results of the study are, to some extent, different from current practice for public procurement efficiency measurement. The novel approach to ranking provides an opportunity to interested parties to improve the performance of their public procurements by reviewing them on a multidimensional basis.