Accessibility Evaluation of Turkish E-Commerce Websites

Disabled people encounter many barriers while attempting to access the services on the web. E-commerce websites have been also intensively and widely used. The e-commerce market in Turkey will hit TL 400 billion by 2021. It also evaluates the accessibility of 10 popular Turkish e-commerce websites using five accessibility testing tools, namely Achecker, TAW, Eval Access, MAUVE, and FAE. This research has found that most accessibility guidelines are covered by A checker tool. Navigation, readability, input assistance, and timing are the common found accessibility problems while assessing the accessibility of the targeted websites.

Architecture and Model of Neural Network Based Service for Choice of the Penetration Testing Tools

During penetration testing of web applications, different tools are actively used to relieve the tester from repeating monotonous operations. The difficulty of the choice is in the fact that there are tools with similar functionality, and it is hard to define which tool is best to choose for a particular case. In this paper, a solution of the problem with making a choice by creating a Web service that will use a neural network on the server side is proposed. The neural network is trained on data obtained from experts in the field of penetration testing. A trained neural network will be able to select tools in accordance with specified requirements. Examples of the operation of a neural network trained on a small sample of data are shown. The effect of the number of neural network learning epochs on the results of work is shown. An example of input data is given, in which the neural network could not select the tool due to insufficient data for training. The advantages of the method shown are the simplicity of implementation (the number of lines of code is used as a metric) and the possibility of using opinions about tools from various experts. The disadvantages include the search for data for training, the need for experimental selection of the parameters of the neural network and the possibility of situations where the neural network will not be able to select tool that meets the specified requirements.

Aplikasi Mesin Pemasak Minuman Rempah Jahe (Zingiber officinale) Dengan Pengaduk Otomatis di UKM Polanmadu

<p><em><strong>Cooking Machine Application of Ginger Drink (Zingiber officinale) with Automatic Stirrer at UKM Polanmadu</strong></em>. The trend of instant spice drinks that function to maintain the body’s immunity is growing rapidly in the era of the Covid-19 pandemic. Ginger, which is a spice with various benefits, has made many Small and Medium Enterprises (SMEs) industry players take advantage of this potential. One of them is the instant spice drink SME industry player "Polanmadu" which produces natural instant spice drinks. The processing of instant spice drinks is still done conventionally, making Polanmadu SMEs unable to reach consumer demands. The purpose of these activities was to the introduction of appropriate technology in the production of instant spice drinks to produce products with more guaranteed quality and able to generate additional income for partners. The application of the cooking machine is useful so that the stirring process which has been going on for 3 hours conventionally using human power is replaced with electric power so that it is more efficient and profitable. The implementation begins with identification, planning, assembling tools, testing tools, and introducing tools to the spice instant drink production unit. The result showed that the introduction of a spice instant drink cooking machine can produce 20% more crystal ginger extract, automatic stirring while at the same time speeding up the formation of crystals from 3 hours to 2.5 hours, and the product crystal size is more homogenous and an increase in profit of Rp906,000-/day. Overall, the introduction of this spice-cooking machine makes the productivity of SMEs for instant spice drinks increase in quality and quantity.</p>

Dies Process Performance Improvement Maintenance With e-DMIS Based on Iot Technology

Improvement between departments within the company requires a mutually supportive system so that cooperation occurs between interrelated departments. This requires effort and commitment that needs to be supported by related share holders so that the occurrence of lost time during the production process can be minimized so that the planned time runs effectively and efficiently in increasing productivity. The difficulty in supervising and controlling the production process is the reason for knowing the abnormality in the process of replacing the dies and controlling the process of replacing printing equipment or dies for the Stamping process still using a manual system and the process recording system still using paper that is prone to loss and is engineered irresponsibly . The method used to create an electronic Dies replacement monitoring system by collecting problem data, comparing manual systems with several experiments and testing tools, using IoT in the form of PLC, HDMI as a tool for online communication. The DIMS monitoring system can be used to monitor and provide initial information when there is a request for the Dies replacement process so that replacement requests and needs in the process can be carried out immediately because they can be detected early.

Usability and User Experience Test on the Muezzin and Khatib Scheduling Mobile Application Using SUS and User Experience Questionnaire (Case Study: Al Abroor Mosque)

One of the Dewan Kemakmuran Masjid (committee to serve public service in a mosque) main task is to provide prayer facilities in a mosque, such as managing schedules for muezzin and imam salat. Most of the time, the plan is executed manually. Moreover, preparing the schedule is not easy. It needs cautious and excessive effort as DKM members should be careful not to make an unbalanced schedule for each muezzin/ khatib. It is also an error-prone process since putting the unavailable person in the schedule slot is possible. To overcome the condition, we build a mobile application for managing schedules for muezzin and imam salat. The application has been tested with usability testing and a user experience questionnaire. The results from both testing tools yield excellent results; the application could implement and comfortably used for managing schedules. From the result, it can be inferred that Al Aboor meets the criteria for a good mobile application and can be developed further.

FAKTOR-FAKTOR MOTIVASI REMAJA BERWIRAUSAHA MELALUI BISNIS ONLINE DI BATUAMPAR PELAIHARI

The number of conveniences in shopping online and the various types of products and services offered, make the Indonesian people make Online Shops as one of the new "shopping places" besides shopping centers.This study aims to determine and prove the motivational factors of Batu Ampar Pelaihari teenagers in entrepreneurship through online business.This type of research is descriptive quantitative. The data studied in this study were sourced from primary data and secondary data. The number of respondents who were used as observations in this study amounted to 40 people. Statistical analysis using simple linear, with testing tools using SPSS software version 20.00The results show that motivational factors can influence adolescent entrepreneurship in Batu Ampar Pelaihari. Variable data which is a simple conceptual path where motivation (X) / independent variable and entrepreneurial (Y) / dependent variable.The independent variable has a unidirectional relationship with the dependent variable because the independent variable has a positive coefficient, meaning that if the x variable increases, the y Variable also increases and vice versa.

Effect of Pharmacogenetic-Based Decision Support Tools in Improving Depression Outcomes: A Systematic Review

Introduction: Evidence supporting pharmacogenetic (PGX) tests utility in depression is scarce. The main objectives of this study were to summarize, update, and assess the quality of the available evidence regarding PGX testing in depression as well as estimating the impact of using PGX testing tools in depression outcomes in the MENA region. Methodology: Scientific databases were systematically searched from inception to March 20, 2020 for systematic reviews (SRs) and randomized controlled trials (RCTs) assessing clinical utility of PGX tests in treatment of depression. Meta-analysis only and RCTs that that were included in eligible SRs were excluded. Quality of the eligible studies were assessed using Crowe Critical Appraisal Tool (CCAT). Results: Six SRs and three RCTs met the inclusion criteria and were included in this study. Results of the SRs have provided weak evidence on the efficacy of PGX testing especially in patients with moderate-severe depression at eight weeks. In addition, there was a lack of evidence regarding safety outcomes. Newer RCTs with better qualities showed clinical promise regarding efficacy outcomes especially in patients with gene-drug interactions. No evidence was found regarding PGX testing impact in the MENA region. Conclusion: This SR summarizes findings, provides an update, and assesses the quality of available SRs on this topic. Findings of this study have demonstrated that PGX testing prior to treatment initiation might improve efficacy outcomes. Further studies are warranted to assess PGX testing impact on safety outcomes.

On Analyzing Capnogram as a Novel Method for Screening COVID-19: A Review on Assessment Methods for COVID-19

In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city, China, and was reported in other countries around the globe. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Strategies such as contact tracing and a vaccination program have been imposed to keep COVID-19 under control. Furthermore, a fast, noninvasive and reliable testing device is needed urgently to detect COVID-19, so that contact can be isolated and ringfenced before the virus spreads. Although the reverse transcription polymerase chain reaction (RT-PCR) test is considered the gold standard method for the diagnosis of SARS-CoV-2 infection, this test presents some limitations which cause delays in detecting the disease. The antigen rapid test (ART) test, on the other hand, is faster and cheaper than PCR, but is less sensitive, and may limit SARS-CoV-2 detection. While other tests are being developed, accurate, noninvasive and easy-to-use testing tools are in high demand for the rapid and extensive diagnosis of the disease. Therefore, this paper reviews current diagnostic methods for COVID-19. Following this, we propose the use of expired carbon dioxide (CO2) as an early screening tool for SARS-CoV-2 infection. This system has already been developed and has been tested on asthmatic patients. It has been proven that expired CO2, also known as capnogram, can help differentiate between respiratory conditions and, therefore, could be used to detect SARS-CoV-2 infection, as it causes respiratory tract-related diseases.

ClineHelpR: an R package for genomic cline outlier detection and visualization

Background Patterns of multi-locus differentiation (i.e., genomic clines) often extend broadly across hybrid zones and their quantification can help diagnose how species boundaries are shaped by adaptive processes, both intrinsic and extrinsic. In this sense, the transitioning of loci across admixed individuals can be contrasted as a function of the genome-wide trend, in turn allowing an expansion of clinal theory across a much wider array of biodiversity. However, computational tools that serve to interpret and consequently visualize ‘genomic clines’ are limited, and users must often write custom, relatively complex code to do so. Results Here, we introduce the ClineHelpR R-package for visualizing genomic clines and detecting outlier loci using output generated by two popular software packages, bgc and Introgress. ClineHelpR bundles both input generation (i.e., filtering datasets and creating specialized file formats) and output processing (e.g., MCMC thinning and burn-in) with functions that directly facilitate interpretation and hypothesis testing. Tools are also provided for post-hoc analyses that interface with external packages such as ENMeval and RIdeogram. Conclusions Our package increases the reproducibility and accessibility of genomic cline methods, thus allowing an expanded user base and promoting these methods as mechanisms to address diverse evolutionary questions in both model and non-model organisms. Furthermore, the ClineHelpR extended functionality can evaluate genomic clines in the context of spatial and environmental features, allowing users to explore underlying processes potentially contributing to the observed patterns and helping facilitate effective conservation management strategies.

Kendali Robot Spray Disinfektan Otomatis

ABSTRAKPenyebaran Covid-19 dapat diminimalisir dengan bebeberapa cara diantaranya penyemprotan antiseptik. Tujuan penelitian ini menghasilkan robot yang berguna meminimalisir penyebaran Covid-19 dengan sistem kontrol otomatis menggunakan Arduino Uno R3 serta panel surya yang dikoneksikan dengan sistem IoT (Internet Of Things). Penelitian ini menggunakan metode penelitian yang terdiri dari empat tahapan: 1). Mendesain (merancang) alat, 2). Tahapan pembuatan alat, 3). Tahapan ujicoba alat, 4) Tahapan analisis alat. Ketika ada benda yang berada pada titik atau jarak tertentu maka sensor ultrasonik akan mendeteksinya dan akan mengirimkan sinyal ke mikrokontroler selanjutnya robot akan bekerja kembali seuai perintah dari android. Hasil pengujian saat ada obstacle dengan nilai v= 11,40 Volt di dapat nilai acuan pengukuran dan nilai hasil pengkuruan memiliki nilai rentang error tertinggi pada saat nilai acuan 55 cm dan nilai hasil pengukuran 52 cm. Pengujian RPM pada roda kiri posisi (maju) nilai tertinggi sebesar 40,0 RPM dan roda kanan 39,7 RPM.Kata kunci: Arduino, robot, android, IoT, Covid-19, panel surya ABSTRACTThe spread of Covid-19 can be minimized in several ways, including spraying antiseptics. The purpose of this research is to produce a robot that is useful for minimizing the spread of Covid-19 with an automatic control system using Arduino Uno R3 and solar panels that are connected to the IoT (Internet Of Things) system. This study uses a research method consisting of four stages: 1). Designing (designing) tools, 2). Stages of making tools, 3). Stages of testing tools, 4) Stages of tool analysis. When there is an object that is at a certain point or distance, the ultrasonic sensor will detect it and will send a signal to the microcontroller then the robot will work again according to the command from the android. The test results when there is an obstacle with a value of v = 11.40 Volts the measurement reference value is obtained and the measurement result value has the highest error range value when the reference value is 55 cm and the measurement value is 52 cm. RPM testing on the left wheel position (forward) the highest value of 40.0 RPM and the right wheel 39.7 RPM.Keywords: Arduino, robot, android, IoT, Covid-19, solar panels