Journal of Computer Networks, Architecture and High Performance Computing
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My Bengkel Application to Facilitate Bookkeeping for Small and Medium Enterprises in the Automotive Sector
Get PDFSmall and Medium Enterprises (SMEs) are an important part of the economy of a country or region, as well as in Indonesia, these SMEs play a very important role in the speed of the people's economy. These SMEs are also very helpful to the state/government in terms of creating new jobs and through SMEs many new work units are created that use new workers who can support household income. Simple bookkeeping is a standard that must be owned by all SME business people. It is often found that small business actors or SME businesses have never recorded all of their business activities. They don't even use a simple bookkeeping example to help manage and regulate all financial traffic. From these problems, this research seeks to find the right solution where researchers plan to make a business bookkeeping application to make it easier for SMEs. One type of UKM that is the object of this research is the Automotive Workshop field. The workshop is one type of business that is needed by the community, because of that computerized bookkeeping is needed. By using the prototype software development method. The results of this research are in the form of the My Bengkel application which will later be equipped with several features ranging from Sales, Purchases, Expenses, Receipts, Inventory to Payables and Accounts Receivabl
Formalin detection device in Tofu food with telegram monitoring
Get PDFTofu is a side dish or food used by many people. As a processed food product made from soybeans, white tofu contains protein and high water content so it is very good for the growth of spoilage microorganisms. As a result, tofu is not durable and easily damaged. Damage to white tofu is characterized by a sour and slimy odor. The usual preservation methods for traders include soaking tofu in formalin to make tofu more resistant to decay, resistant to microorganisms, and maintaining its freshness for up to seven days. Formalin to prevent unwanted things. In food Because of the above problems, there needs to be special treatment against excessive use of formalin in food in Indonesia. Formalin should be limited within International Chemical Safety Programme (IPCS) limits for adult foods containing formaldehyde. And also sensors made of polymeric materials combined with activated carbon to detect formalin in food. The development of technology continues with the development of internet products from things that can communicate with each other through the internet. Then a tool was developed to solve the above problem. As part of the research, a formaldehyde detection device will be made in tofu food with a monitoring telegram. The system uses HCHO sensors and a Node MCUESP 32 microcontroller, which is then transmitted through a database that allows you to view through the LCD screen and the Telegram Android smartphone application, of which of course many applications are installed to facilitate this. Users are able to check formalin plates remotely via an internet network connection
Enhancing Business: Incorporating Enterprise Architecture into Project Management in the Food Manufacturing Industry
Get PDFThe present research examines the incorporation of Enterprise Architecture into project management in the food manufacturing sector with the aim of enhancing operational efficiency and corporate accountability. This study investigates the use of an integrated Enterprise Architecture strategy with project management in the food industry to improve production processes by using the crucial role of information technology. The aim of this approach is to enhance operational frameworks, customize information systems, and guarantee the congruence between business strategic aims and technology implementation. Within this framework, the analysis centers on the potential of integrating Enterprise Architecture to enhance transparency, interoperability, and scalability in the food manufacturing industry. Enterprise Architecture offers a comprehensive perspective on the technological infrastructure needed to ease effective and adaptable business operations. The implementation of Enterprise Architecture yields advantages in elucidating system architecture, enhancing coordination among diverse business components, and easing the more adaptable assimilation of modifications. Enterprise Architecture is crucial in project management as it eases improved decision-making and more efficient risk management. This study emphasizes the significance of incorporating Enterprise Architecture into the management of projects in the food industry as a strategic basis for ongoing operational advancement and enhancement while simultaneously prioritizing product quality, production efficiency, and responsiveness to evolving market demands
Comparison of Decision Tree and Linear Regression Algorithms in the Case of Spread Prediction of COVID-19 in Indonesia
No full textCOVID-19 is a disease that was first discovered in Wuhan, China and caused the 2019-2020 coronavirus pandemic. This virus can cause respiratory tract infections such as flu when infecting humans. According to Ministry of Health of the Republic of Indonesia, the number of confirmed cases of COVID-19 in Indonesia at March 2021 is 1,511,712 with 40,858 deaths and 1,348,330 recovered. For that, Indonesia is declared to have the highest confirmed cases in ASEAN. Several studies have been carried out to handle some cases by using the data mining techniques such as Decision Tree or Linear Regression algorithm, as example to classify the respiratory diseases and predict pregnancy hypertension. In this study, we tried to analyze COVID-19 cases in Indonesia and conducted an experiment of predicting COVID-19 new cases with the Decision Tree (CART) and Linear Regression algorithms. Then we will compare the values of these two algorithms by using R2 Score to evaluate the prediction performance. The results of this analysis state that DKI Jakarta province has the highest number of positive cases, cures and deaths in Indonesia. The value of the comparison results from the R2 Score obtained in the Decision Tree algorithm reached 95.69% (training) and 92.15% (testing) while the Linear Regression algorithm reached 79.93% (training) and 77.25% (testing)
Optimization of Adaptive Genetic Algorithm Parameters in Traveling Salesman Problem
Get PDFThe TSP problem is one where a seller visits multiple destinations at the same time and they are only allowed to visit once. The purpose of this TSP is to shorten the shortest distance, thereby minimizing time and cost. There are various methods to solve the TSP problem, including greedy algorithm, brute force algorithm, hill climbing method, ant algorithm, and genetic algorithm. Each process in a genetic algorithm is affected by several parameters, including population size, maximum generation, crossover rate, and mutation rate. The purpose of this study is to apply genetic algorithms to the traveling salesman problem optimization, calculate the maximum influence of generation, chromosome number, crossover rate and mutation rate on the optimal genetic algorithm, calculate the range of chromosome number, population size, crossover rate and mutation rate for genetic algorithm in the traveling salesman problem and calculate the effect of adaptive genetic algorithm parameters on genetic algorithm results. Based on the results obtained from research and testing, the four parameters of the genetic algorithm are positively correlated with fitness results while negatively correlated with execution time performance where each adaptive parameter applied provides more optimal fitness results than static parameters. The four adaptive parameters that are applied together give optimal results, both fitness which reaches 1.0% and time reaches 38.7%
Planning Model and Questionnaire for Measuring MSME Performance through (TOE) Technology Organization Environment Indonesia
No full textMSMEs (Micro, Small and Medium Enterprises) as one of the factors driving the economy in Indonesia are experiencing the Covid-19 pandemic crisis which has led to the activities of the Indonesian people. This will indirectly affect the activities of human life, including the buying and selling process. Buying and selling activities that are usually carried out face-to-face can not be carried out normally due to activities from the government so that it indirectly affects the sales results of business actors, including MSME actors. During this pandemic, there was a very significant decline and caused deep anxiety for MSME actors such as payment of employee salaries, daily operational costs, and others. The existence of this phenomenon or incident has resulted in MSMEs having to rack their brains in order to survive in the midst of the ongoing crisis. In order to continue to survive, MSMEs use social media to promote sales, or make sales online with social media. The purpose of this study was to determine the effect of social media adoption on the performance of MSMEs. This research method is carried out in several stages which include problems, literature review about the research model, research design, making instruments that produce questionnaires. The result of this study is produces a research model related to the adoption of social media on the performance of MSMEs which is supported by the dependent variable of the Technology-Organization-Environment (TOE) framework, as well as a questionnaire
Application Prototype Attendance System Garuda Indonesia's Premium Service Assistant Employees Use The Waterfall Model
No full textIn the era of information technology which has developed rapidly, it becomes a challenge for users of information technology and encourages every activity of the organization to be able to use it as a support for work activities so as to produce fast and accurate information. PT Garuda Indonesia Tbk as a company engaged in commercial air transportation services that requires good management in employee attendance, special data collection needed to record attendance that can be well organized. The employee attendance process still uses the manual method even though it has been assisted by existing technology, namely using WhatsApp group media every day with a predetermined format and making chat results that have been carried out without a report recap for one month which risks losing attendance data and failures that have occurred. can harm the company. Based on these problems, an attendance system application prototype was made in order to minimize errors. The research method used includes observation, interviews, and literature study. While the system development method using the Waterfall model includes analysis, design, manufacture, testing and system maintenance. The prototype system application that will be developed is expected to be able to build this attendance system more quickly and precisely
Digital Image Copyright Protection with Spatial Domain Public Image Watermarking Scheme
Get PDFThe resulting digital image certainly has the copyright attached to the image. There needs to be protection of digital image works because the form of storage of digital imagery works that are vulnerable to piracy, claims of unauthorized authorities, illegal duplication, or unauthorized modification. The Spatial Domain Public Image Watermarking method is used to protect digital imagery using applications designed to facilitate the watermarking process on several different digital images as well as with different image formats. The reason for using this method is because it has low complexity. In this study, it consisted of three processes carried out, namely the process of making watermarking, the process of checking watermarking and comparison of input imagery and image results. In the process of making watermarking do image input as a watermarking media, input inserted imagery in the form of binary images / text, key inputs and watermark results. In process of checking watermarking performs image input that becomes watermark media, watermark results input, key input, and checking results. The process of creating watermarking takes a relatively short time while the process of extracting watermarking processing time depends on the size of the image file. From some image testing conducted using imagery with three formats, namely: JPG with an average time accuracy of 9:5,310(42.15%), .GIFs with an average time of 8:27.207(21.63%), and. BMP has an average time accuracy of 5:2.989(36.22%). Thus, the determination of the image format used is adjusted to the original image, so that it can perform time efficiency
Performance Comparison Supervised Machine Learning Models to Predict Customer Transaction Through Social Media Ads
Get PDFThe application of machine learning has been used in various sectors, one of which is digital marketing. This research compares the performance of six machine learning algorithms to predict customer transaction decisions. The six algorithms used for comparison are Perceptron, Linear Regression, K-Nearest Neighbors, Naïve Bayes, Decision Tree, and Random Forest. The dataset is obtained from Facebook ads transaction data in 2020. The goal is to get a model that has the best performance so that it can be deployed to the web. The method that is used to compare the results is a confusion matrix and also uses visualization of the model to get the prediction error that occurred. Based on the test results, the random forest algorithm has the highest accuracy, recall, and f1-score values, with scores of 96.35%, 95.45%, and 93.32%. The highest precision value was generated by the logistic regression algorithm, which was 94.44%. Based on the data visualization presented by the random forest algorithm, it has the least prediction errors, there are four data. Therefore, it can be concluded that the random forest algorithm has the best performance because it has the highest value in the three confusion matrix measurements and the smallest data prediction error. The model of the random forest algorithm is deployed to the web platform and can be accessed at the link iklan-sosmed.herokuapp.com
Implementation of Data Mining Using the K-Nearest Neighbor Method to Determine the feasibility of a lecturer's functional promotion
No full textAs we know now, every lecturer is obliged to determine the use of the momebase for managing the national lecturer identification number, after getting this, the lecturer concerned can already apply for an academic rank. The data that will be processed in this system is where every lecturer has legal rules to propose academic ranks. The data tested are expert assistant lecturers, lectors (L) lectors are divided into 2 lectors 200 (coordinators/III-C) and 300 lectors (administrators (TKT-1/III-D), head lectors are divided into 3 coaches/(IV-A ) kum 400, supervisor of TKT-1/(IVB) kum 550, main coach of junior/(IV-C) 700, professor of intermediary main coach/(IV-D), KEY Advisor/(IV-E). has shown results by displaying data from lecturers who are eligible to apply for a rank using the K-NN method.