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Game Edukasi Introduksi Bilangan dan Operasi Aritmatika dengan Penerapan Algoritma Fisher–Yates Shuffle
Get PDFThe introduction of numbers and arithmetic operations is basic learning in Mathematics aimed at students at the kindergarten level, where the learning method is still conventional and tedious. The solution that can be applied is to use an android educational game using the Fisher-Yates Shuffle method. useful in obtaining random permutations of a series of questions that allow the arrangement of similar questions to be impossible to appear again while avoiding students remembering the questions and their answers. The idea of making games is to create a new impression and make it easier to learn the introduction of numbers and arithmetic operations. The technique used is Game Development Life Cycle and Android-based Unity 3D software in the development of this educational game application. The application of the concept of User-Centered Design (UCD) is used in the evaluation in measuring game excellence with a Playability testing approach in the form of 4 criteria, namely gameplay, usability, mobility, and game story. The questionnaire was filled out by 10 respondents, namely kindergarten students with the assistance of their parents. Based on the assessment, it is determined that this game gets a score where gameplay is 75%, usability is 75%, mobility is 70%, and the game story is 70%. support kindergarten students in learning number introduction and arithmetic operations
Analisis Faktor yang Memengaruhi Minat Penggunaan Learning Management System dengan Model UTAUT
Get PDFThe use of technology and its development in the world of education helps in improving the quality of education. But the inequality of facilities in the use of inter-school technology in Indonesia remains uneven. Add to this the appearance of covid-19 at that time causes the quality of learning to be reduced because it cannot be performed effectively and efficiently.Learning management system development is a helpful solution to learning problems. SMAN 1 Gedangan building adopted the application of Learning Management System during the covid-19 pandemic. The platform used was the Google Classroom application.But the use of the platform is sustained to this day. With this in mind, researchers would like to explore what factors might influence interest in the use of learning management system. In addition, researchers would like to examine the effects of Learning Management System's continued use. The model in this research is using UTAUT (Unified Theory of Acceptance and Use of Technology). Sampling retrieval using Stratified Random Sampling techniques. The data collection technique involves the distribution of questionnaires through Google form and distribution done in person so that researchers can see for themselves. The respondents in this study numbered 279 students from XI and XII classes. Based on analysis obtained that Perfomance Expectancy, Effort Expectancy, Social Influence significantly affect the Behavior Intention. Apart from these, notices and Facilitating Condition also generate significant results regarding the use of behavior. This means that more and more users are willing to use learning management systems and will be affected by future use of the services and impact on both academic value and the quality of learning
Penerapan Metode Simple Additive Weighting untuk Pendukung Keputusan Pemilihan Balita Tersehat
Get PDFThis study discusses the application of the Simple Additive Weighting (SAW) method in decision support for the selection of the healthiest toddlers at the Anggrek Bulan Posyandu, Larangan Village, North Larangan District, Tangerang City, Banten Province. In the stage of human growth and development, one of the important processes is during the growth period of toddlers. The growth of toddlers is an important point of success in the quality of subsequent human development. Constraints encountered in this study were the absence of appropriate decision support methods to assist the process of assessing the selection of children under five, so there was no information to determine the nutritional status of children under five and to know the intake of nutritious foods in the growth and development of toddlers, and the selection of the healthiest toddlers was less fast and less effective. The criteria used in the selection of the healthiest toddlers are determined to be 4 (four) namely Height, Weight, Upper Arm Circumference, and Head Circumference. Each criterion has a weight determined by the Chair of the Orchid Month Posyandu and the results of the matrix calculation between alternatives with criteria using the SAW method will produce toddlers who have the healthiest criteria to become the healthiest toddlers. This study resulted in the priority order of the healthiest toddlers in the application of the SAW method at the Orchid Bulan Posyandu. The application of SAW method is used to facilitate the possibility of inputting cost criteria in the future. The SAW method can display an alternative order of priority in the form of the highest to the lowest ranking, is easy to implement, and uses the concept of weighting. This research will produce a proposal for the right method in data processing to make it easier to help the Posyandu head in making decisions. The results of the application of this method are recommendations for the priority order of the healthiest toddlers that can be used as suggestions or input for the Posyandu Chair as a decision-maker in the selection of the healthiest toddlers
Prediksi Predikat Kelulusan Mahasiswa Menggunakan Naive Bayes dan Decision Tree pada Universitas XYZ
Get PDFThe success of universities in managing learning standards can be seen from the number of students who can graduate with high predicates and on time. The graduation predicate of a student is influenced by several factors. This study aims to find out the profile of students who graduated with a set predicate and what are the factors that influence it. The method used in this study is the Cross Industry Standard Process for Data Mining CRISP-DM by utilizing the Naïve Bayes algritma in looking for graduate predicate patterns and Decision Tree in looking for causative factors. In the calculations using the NBC algorithm it was found that the profiles of students who passed the predicate were less satisfactory, satisfactory, very satisfactory and with praise . In the Desicion Tree calculation, the highest gain value is obtained at the attributes of IPK4, IPS5 and IPK5. The factors that most influence graduation are the cumulative achievement index in semesters 4 and 5 and the achievement index in semester 5. The pattern of graduating with predicate can be known from the second year of the incoming student to the third year. This research needs to be developed again by increasing the number of attributes and data, and it is necessary to create a system for determining student graduation predicates from the patterns that have been produced in order to help universities to improve the quality of student graduation in each period
Analisis Sentimen Vaksinasi Booster Covid-19 pada Platform Twitter Menggunakan Metode Naïve Bayes
Get PDFSince the end of 2019, the Covid-19 virus hit the whole world, including in Indonesia. One of the efforts to deal with the Covid-19 virus is vaccination. In Indonesia, the government requires people to vaccinate 3 times, that are First Vaccination, Second Vaccination, and Booster Vaccination. The public's response to the booster vaccine are varies. This study aims to reveal public sentiment towards booster vaccine activities. The research was conducted by collecting tweet data from the Twitter platform. The research was conducted by collecting data tweets from Twitter. The method used is the Naïve Bayes Classifier because the method is simple, the process is fast, and it has a fairly high level of confidence. In this method, public sentiment is divided into three, that are positive, neutral, and negative. The results showed that most people responded positively to this booster vaccine activity with a value of 56.8%, neutral as much as 39.9%, and negative as much as 3.3% with an accuracy rate of 86%
Pengaruh Penggunaan Aplikasi Gojek Terhadap Perilaku Mahasiswa Universitas
Get PDFCurrently, businesses engaged in online transportation are growing rapidly. The company really helps the community from doing daily activities to entertainment. The user only uses the phone, and the user can handle everything in one application. This software has many features from online food delivery, drug delivery, transportation, and so on. Corporate marketing is widespread and many people are free to use it, from high school students to adults. This research is to know the students' behavioral intentions. It is necessary to know the factors that attract users to Gojek application. The factors themselves are Performance Expectancy, Social Influence, Effort Expectancy, Facilitating Condition, Price Value, Hedonic Motivation, Habit to Behavioral Intention, and Use Behavior based on Unified Theory of Acceptance and Use of Technology (UTAUT 2) as a theoretical framework using Smart PLS -3, namely the acceptance of technology in the context of consumer use. Based on the results of research with 160 respondents among students in the city of Batam, there are 3 relationships that have positive and significant values. Variables that affect Behavioral Intention are Habit and Hedonic Motivation. then the variable that has an effect on Use Behavior is Behavioral Intention while the other variables have no significant effect. The results of the Coefficient of Determination (R2) test, the factors above have an effect on Behavioral Intention of 60.4% and the effect of Use Behavior is 54.4%
Perhitungan Estimasi Upaya Pengembangan Software Pulsa Online dengan Fuzzy C-Means dan Fuzzy K-Means
Get PDFTop-up can be done by prepaid and postpaid. Top-up at this time can also be done by way of online purchases. Credit with a prepaid system is a real-time top-up. Payments are made before the customer uses credit. Prepaid credit is different from postpaid which is not real-time and is done after the customer uses credit. Before credit can be used, it is necessary to create a credit server first. In this case, limited resources become an obstacle in completing the credit server creation which will later be used by credit users. Therefore, it is necessary to estimate the effort in the development of the server application, so that the estimation can be known, both in terms of resources, and processing time to estimates in terms of costs. In this case, the appropriate method should be used to overcome the obstacle and reduce the risk of software development. There are several ways to use the Fuzzy K-Mean and Fuzzy C-Means methods to complete the creation of impulse servers, perform analysis and interpretation, and provide information and actions for the quality of research output, education, and evaluation research. The result of the grouping comparison is to produce a derivative formula for the Fuzzy K-Mean and Fuzzy C-Means algorithms
Penerapan Metode Enterprise Architecture Planning dalam Pengembangan Kelestarian Alam TNWK Lampung
Get PDFWay Kambas National Park in Lampung is a National Park in which there are various kinds of flora and fauna that must be preserved, the most popular of which is the elephant. The problem faced by the Way Kambas National Park Center is that it does not yet have optimal technology and does not yet have a clear plan in developing its technological infrastructure so that the provision of information or exchange of data regarding flora and fauna is experiencing problems and the development of natural sustainability is only based on the needs at that time. not necessarily have optimal value and benefits. Therefore it is necessary to use the right method for its development. In this study the method used is the Enterprise Architecture Planning method which is applied in the form of a Blueprint. This blueprint can be used to support the policy strategies taken by the management in taking steps to develop natural sustainability related to information and technology. The purpose of this study is to analyze threats or causes that can damage the natural sustainability of Way Kambas National Park, analyze data, architecture and technology used in Way Kambas National Park management and to develop the natural preservation of Way Kambas National Park by using better technology so that sustainability nature can be well preserved without overriding the tourist attraction. The result of this research is to produce an information architecture picture (blueprint) both from data architecture, application and technology which is expected to be used as a basis for the development of information systems in Way Kambas National Park
Implementasi Metode Weighted Product untuk Rancangan Sistem Pendukung Keputusan Pemilihan Saham Terbaik
Get PDFThis decision support system for selecting the best stocks in the financial sector aims to make it easier for investors to determine stocks with the best categories in terms of the fundamentals of these stocks. With a system that can select and determine healthy stock fundamentals, of course, investors can easily compare what stocks are worth investing in. This study uses the financial ratios of a stock (issuer) listed on the Indonesia Stock Exchange as a comparison which is calculated using the Wighted Product method consisting of Net Profit Margin (NPM), Return on Equity (ROE), Earning per share (Eps), Price to Earning Ratio (PER) and Debt to Equity Ratio (DER) Price Book Value (PBV). The data used in this study is secondary data from the banking financial statements for the 2021 period taken in the final quarter. Based on the research that has been done using the Wighted Product method, it can be concluded that the Wighted Product method can display and calculate stocks or alternatives with the best categories starting from the smallest to the largest values based on existing criteria. The contribution to this research is to help investors choose the best stocks with the output provided by this Decision Support System with the Weighted Product Method so as to minimize losses
Penerapan Certainty Factor pada Diagnosis Penyakit Tanaman Tomat
Get PDFTomato (Solanum lycopersicum) is a horticultural crop that has important economic value as a vegetable or fruit. Many problems arise in tomato production, causing a decrease in production yields, namely pests and diseases. Handling tomato disease is often constrained due to delays in diagnosing the disease. To overcome this problem, a system was designed that was used to diagnose tomato plant diseases by applying the Certainty Factor (CF) method. The CF method is a method used to express belief in an event in the form of facts or hypotheses based on evidence or expertise. The results obtained is an expert system application consisting of 7 tomato diseases with 16 symptoms. In this system, the user can choose the symptoms on plant, each selected symptom has a weight that will be used to obtain the results of disease determination. Testing on 25 data shows the suitability between the application and the expert is 88%. This represents the system is able to diagnose tomato plant diseases