Reviewerly/exHarmony huggingface dataset:
Sistem Pendukung Keputusan Pemilihan Teknisi Terbaik Menggunakan Metode Fuzzy Tsukamoto

One of the Human Resources (HR) management activities carried out is the selection of the best technicians. As is the case with Central Ponsel in determining the best mobile technician. It is not an easy thing to get a qualified HR workforce. The process of selecting technicians is still conventional, all data for new technician candidates is recorded manually, so it takes a long time to process the selection results and is still not accurate. The selection of technicians is based on kinship, resulting in an unobjective assessment and social jealousy for other prospective technicians. This has resulted in the owners of Central Ponsel having difficulty making decisions on choosing the best technician because the process of recapitulating the results of the technician's performance evaluation is done independently and manually, resulting in less accurate assessment results, there is no ranking of the final assessment results so that it is difficult to get the title of the best technician. If allowed to drag on then this can certainly hamper performance and operations which can also cause losses for the owner of Central Ponsel. So to solve the problems mentioned above, you can apply the Fuzzy Tsukamoto method in a Decision Support System (DSS). The purpose of this research is to produce a system that can assist the owner of Central Ponsel in determining the best technician so that they are able to make decisions more effectively and efficiently. Based on the calculation that is declared acceptable is the alternative A-03 with the highest score of 75,625 as the best mobile phone technician. This system is expected to assist in providing recommendations for the best technicians who can be selected to carry out tasks tailored to the needs and conditions.
Analisis User Satisfaction Terhadap Sistem Informasi Website PKL Fakultas Informatika Menggunakan Metode EUCS

Website Information System Praktek Kerja Lapangan (PKL) Faculty of Informatics Telkom Institute of Technology Purwokerto is a website designed for students which has a function for the purposes of data collection in the implementation of PKl. But from the entire menu provided, there are some menus that can not be used optimally so it is questionable how the level of satisfaction from the website. The purpose of this study is to determine the level of user satisfaction and identify what factors are the constraints of users in using the website so as to know what suggestions are appropriate to be developed. This study uses the approach of EUCS (End User Computing Satisfaction) method which has 5 attributes, namely content, accuracy, format, ease of use, and timeliness. The sample measurement conducted in this study using slovin formula with respondents of 86 students who have used the website PKL Faculty of Informatics. Respondents answers were measured using a likert scale with data that first measured the validity test and reliability test using SPSS software. Then the results obtained are the average value of the overall user was satisfied with obtaining an average satisfaction score of 3.5. Attribute content obtain an average value of 3.6 that is satisfied category, attribute accuracy obtain an average value of 4.2 that is very satisfied, attribute format obtain a number 3.4 that is satisfied, attribute ease of use obtain a number 3.4 that is satisfied, attribute timeliness obtain a number 3.4 that is satisfied
Implementasi Sistem Monitoring Jaringan dan Server Menggunakan Zabbix yang Terintegrasi dengan Grafana dan Telegram

The network administrator is a person who is responsible for managing computer networks. One of the duties of a network administrator is network monitoring because errors on the server and services running on the server cannot be known when it happened. This can be difficult if the administrator is far from a surveillance center. A network Monitoring System is a system that helps Network Administrators in supervising and managing computer networks that exist in an agency. By using the system that will be implemented in this research, the computer network monitoring process can be monitored remotely, anywhere and anytime as long as it is connected to the Internet network. With this Network Monitoring System, it is hoped that in the long term PT Cyber Network Indonesia can implement an integrated and well-monitored Internet network system. Test results using Network Monitoring Zabbix, generate real-time data regarding bandwidth usage, problem logs and resource availability.
Pemilihan Model Arsitektur Terbaik Dengan Mengoptimasi Learning Rate Pada Neural Network Backpropagation

Backpropagation is one of the methods contained in a neural network that is able to train dynamic networks using mathematical knowledge based on architectural models that have been developed in detail and systematically. Backpropagation itself is able to accommodate a lot of information that serves as a useful experience. However, the Backpropagation Algorithm tends to be slow to achieve convergence in obtaining optimum accuracy and requires large training data and the optimization used is less efficient. The purpose of this research is to optimize the learning rate on backpropagation neural networks. Source of data obtained from CV. Bona Tani Hatonduhan. There are 3 network architecture models used in this study, namely 2-51, 2-6-1, and 2-7-1 with learning rates of 0.1, 0.2, and 0.3. the results of trials carried out with MATLAB software produced the best architectural model, namely the 2-7-1 model with a learning rate of 0.3 with an accuracy of 83%. Based on this background, it is hoped that the results of the research can help in the process by optimizing the learning rate of the backpropagation Neural Network on the selection of the best architecture.
Rancangan UI/UX Design Aplikasi Pembelajaran Bahasa Jepang Pada Sekolah Menengah Atas Menggunakan Metode Design Thinking

In the world of education that has developed, of course, we are indirectly required to be able to understand or master the use of foreign languages. SMA Negeri 1 Cikarang Pusat is one of the schools that learn Japanese. The students who study Japanese at the school have various kinds of great motivation, but also not a few of the students who can understand and even have difficulty in learning Japanese. Given that there are many innovations in the world of education in this era that involve technology to carry out the learning process. There are many ways to learn Japanese, for example by learning through learning media that utilize technology such as smartphones. Supported by increasingly advanced technological innovations and new interaction patterns, the role of the User Interface (UI) and User Experience (UX) is important to the needs of users in solving problems. This research was conducted to find out how we can meet and know user needs by using design thinking. With this Japanese language learning media, it is hoped that it can help students learn Japanese easily.
Pengintegrasian Penyimpanan Google Drive Pada Pembangunan Aplikasi Monitoring Project Menggunakan pyDrive

In a company that works on many projects, a system that can be used to monitor progress is needed. Monitoring is an assessment activity that is carried out continuously to see the progress of a task. Monitoring is important to make sure the project that is being carried out can run well. In this research, a Monitoring Project application was built using the Agile Software Development method. The application is made to make data managing and progress monitoring easier. In addition, a feature will be added to store and share project file access rights to the team members so that the files related to the project can be properly centralized. The application is built using the Python Flask and Webix Javascript framework. The application will be integrated with Google Drive storage using Google Drive API. The integration will be done with the help of the pyDrive library which can simplify Google's OAuth 2.0 authentication. pyDrive also warps the functions of the Google Drive API so the program code becomes more object-oriented. Applications then will be tested using the black box method which focuses on testing the application functions. Based on the testing results, the application can be used to do monitoring projects and help users in sharing project files with fellow team members. The Monitoring Project Application from this research can be used to monitor project progress and share project drive with team members
Index Kepuasan Pelanggan Informa dengan Menggunakan Algoritma C.45

The company's success in marketing its products is largely determined by the accuracy of the strategy used. In determining a marketing strategy, marketers need to examine every characteristic of consumer behavior that is implemented into their hopes and desires. By knowing the basic reasons why consumers make purchases, it can be seen the right strategy to be used, in other words, the marketing party must actualize every consumer expectation into a satisfaction for the services provided. This study uses 6 (six) criteria and 21 (twenty one) sub-criteria with details as follows: Staff, Product, Store Convenience, Security, Delivery and Installation. The purpose of this research is to evaluate the management in improving research. The research stages refer to Knowladge Discovery Data, namely Data, Data Selection, Data Transformation, Data mining Model, Interpretation. Accuracy results obtained are 84.16% with the following details. Prediction Results Satisfied and turns out to be True Satisfied with 80 Data, Prediction Results Satisfied and turns out to be True Very Satisfied with 15 Data, Prediction Results Satisfied and turns out to be True Sufficiently Satisfied with 0 Data, The Prediction Result is Very Satisfied and turns out to be True Satisfied with 0 Data, Prediction Result is Very Satisfied and turns out to be True Very Satisfied with 0 Data, Prediction Result is Very Satisfied and turns out to be True Quite Satisfied with 0 Data.
Perancangan WebView Template Pada Android Studio Arctic Fox Studi Kasus: Dagangrumah.com

Android is one of the largest mobile operating system platforms today. In the midst of the rapid development of android application technology, many programmers have not learned how to make android applications, evidenced by the number of websites that have adapted to the android application screen but do not yet have android applications. In android application development technology there is a feature called WebView that allows application developers to be able to display content from web pages directly within the application. To make it easier to create applications, the author creates templates by: prototyping WebView, formulating problems, studying supporting theories, creating templates, template implementation, as well as documentation of template implementation. In Android Studio Arctic Fox, the application of templates is done with three steps: changing the project name, changing the contents of variables according to the parameters of the relevant website data, and changing the logo. By using WebView templates, the process of creating applications from a website becomes very easy.
Jaringan Saraf Tiruan Pengenalan Pola Huruf Sistem Matriks dengan Algoritma Hebb Rule

The science of artificial intelligence is currently very developed, this can be seen from the development of patterns and characters of artificial intelligence. This stems from the need to maintain security and information related to data so that it can be adjusted with a confidentiality key in the form of pattern and character lock recognition. Pattern recognition consists of various kinds such as facial recognition patterns and fingerprint patterns. The problem in this study is the lack of understanding in maintaining data confidentiality so that the benefits of this research are able to maintain data confidentiality by using a matrix pattern. This study uses the Hebb rule method to obtain the final results. The matrix variable used is from x1 to x25 input and bias 1 with initial weight value 0, W and M patterns are initialized with character x worth 1 and character o worth -1 with bipolar output, U target 1 and S target -1, function f( net) is 1 if Y &gt;= 0 and -1 if Y &lt; 0. The final result after the search process is obtained the value W = -8 and M=-8which produces the same output as the target and can be recognized
E-Voting Pemilihan Presiden Mahasiswa Pada BEM STMIK Syaikh Zainuddin NW Anjani

E-voting is an election system in which data is recorded, stored and processed in the form of digital information. The Student Executive Board (BEM) STMIK Syaikh Zaenuddin NW Anjani is an organizational forum to foster and direct students in the field of organization. Every year there will be a change of President BEM STMIK Syaikh Zaenuddin NW Anjani, direct elections are always carried out which are followed by all conventionally active students, namely students must come to campus to exercise their voting rights with a limited time burden and other problems. Based on these problems, an election system is needed that utilizes technology that is not limited to space and time, namely e-voting. E-voting system for the election of student presidents with technology to make it easier to make elections and minimize time efficiency, productivity, student learning on campus and reduce damaged ballots. The e-voting system uses the PHP programming language and uses a MySQL database.
Implementasi Algoritma C5.0 Untuk Klasifikasi Kepuasan Masyarakat Terhadap Pelayanan Kantor Kecamatan

Public service is an activity to fulfill service needs for the people. Kecamatan Pontianak Kota Office is one of the institutes that perform public services. People's satisfaction with the services provided by the Kecamatan Pontianak Kota Office can be measured by a satisfaction survey in order to improve service quality. The existence of various assessment elements makes it difficult for the Kecamatan Pontianak Kota Office to determine people's satisfaction with services. Therefore, we need a system that can classify and determine the elements of the assessment that affect service satisfaction. In this research, the C5.0 algorithm was used to classify people's satisfaction. The assessment elements (variables) used for classification consist of suitability of services, understanding of procedures, speed of service, costs, service standards, officers' abilities, behavior of officers, facilities and infrastructure, and service complaints. This research resulted in a classification such as very good, good, and not good. The amount of data used is 250 data with training data used as much as 175 data and test data as much as 75 data. The C5.0 algorithm produces a decision tree, rules, and the ability of officers as an influential assessment element. Based on the test results obtained 90.67% accuracy, 68.085% precision, 55.89% recall, and 9.33% error rate
Estimasi Kemampuan Computational Thingking Pemain Game Dota Dua Menggunakan Teknik Machine Learning

Computational thinking is a way of analytic thinking, a general mathematical thinking approach that may be used in solving a problem, a general engineering thinking approach that allows designing and evaluating large and complex systems that exist in the real world, as well as a general scientific thinking approach in understanding computing ability, intelligence, human mind and behavior. With the existence of online games at a time like today, there is a tendency for many students to play online games because it has its own challenges, many of them even spend a lot of money and even forget the time to play online games. there is an urgency to the level of computational thinking of dota two players, so it is necessary to estimate using machine learning techniques to determine the level of computational thinking of dota two game players. The results of this study provide information that in Estimating the Computational Thinking Ability of Dota Dua Game Players Using Machine Learning Techniques using attribute 6 and rapidminer tools version 10 with operators to be used, including retrieval dataset, role set, correlation matrix, selected by weighted, split data, linear regression, apply model and performance. Produces an error accuracy rate in this study, namely, root mean squered error 0.383 +/- 0.000 Squared error 0.146 +/- 0.016 Squared Correlation 1.000, then this value is the best value from several test results. So it can be estimated as follows that the results of the Computational Thinking Ability are good as much as 36 while the Computational Thinking Ability is sufficient as much as 47
Analisis Prediksi Keterlambatan Pembayaran Listrik Menggunakan Komparasi Metode Klasifikasi Decision Tree dan Support Vector Machine

Electrical energy is one of the most needed energy today. In this modern era, almost all human activities cannot be separated from the use of electricity. The only electricity supply company in Indonesia is the State Electricity Company or PT. PLN (Persero). PLN also has several obstacles. One of them is the very large amount of arrears to customers. This causes considerable losses for PLN. The electricity payment counter also experienced the same thing as experienced by PLN, as at PT Jaya Nuhgra Pratama. For this reason, this research was conducted by comparing two methods in the classification, namely decision tree and support vector machine to find out which method is the best in solving problems and to find out the factors that are the main causes of delays in electricity payments
Rancangan Sistem Manajemen Skripsi Berbasis Web Menggunakan Metode Rapid Application Development (RAD)

This study aims to develop a thesis management system that can facilitate the management and monitoring of student thesis progress. For this reason, it is necessary to develop a web-based thesis management system that can handle these problems and is based online to facilitate access that is not limited to time and space. The thesis management system is made to serve the entire flow of thesis activities in the computer education study program, starting from the submission of topics, the seminar process, guidance to the assessment of the thesis trial. The design of the system uses the rapid application development ( RAD) method. Design using UML, such as use case diagrams and activity diagrams, is equipped with entity relationship diagrams (ERD) and interface design using Figma. The technologies used are Laravel PHP Framework, Bootstrap, Javascript JQuery Library, and MySQL Database. Blackbox testing is carried out for all features in the system that are successfully run according to the scenario. 25 student respondents agreed that the thesis management system developed has ease of use and design accuracy. Testing the system generates data that the system is ready for use and implementation. So the system created is considered applicable to the FKIP ULM computer education study program
Rancangan Aplikasi Edukasi Alat Kesehatan Dan Alat Kedokteran Berbasis Android Dengan Metode Computer Assisted Instruction (CAI)

Medical science is a science that explores the handling of diseases carried out by health workers. The importance of the role of health workers today is based on data from the Ministry of Health, Indonesia still lacks health workers and it is hoped that a new generation will come who have broad knowledge, are intelligent, competitive and useful for public health. Basically, many prospective students who will enter medical education do not yet have knowledge about the use of medical devices, so education on the use of medical and medical devices needs to be carried out to provide insight to prospective health workers in the future. In this study, the author designed an application to provide education about medical devices commonly used in hospitals, both in terms of functions and how to use them for prospective students who are interested in majoring in health and medical sciences. The method in designing this system uses the Computer Assisted Instruction method. In its use, users can learn about medical and medical equipment according to their class, namely hospital health care and treatment, anesthesia equipment, teeth, eyes, ENT, radiology, cardiology, surgery, and several others. The author uses an expert review instrument in testing the validity and testing one to one to determine the practicality of using the application. Based on the results of the Expert Review, this application is declared valid based on the average value of the assessment results of media experts, design experts and evaluation experts with an average score of 4.0 so that this application category is declared valid. Furthermore, the results of the product practicality test through one to one testing were assessed by 3 respondents with an average value of 3.9 with practical criteria.
Modeling the Digital Al-Quran User Experience as Tahfidzul Quran Media using the Task-Centered System Design

The development of technology in the world from time to time continues to progress so rapidly that various kinds of tools in the world are now converted into digital tools that facilitate the activities of human life. However, with the development of this technology, unfortunately, it has not had much impact in the realm of Tahfidz Al-Quran. Media Tahfidz Al-Quran, currently available in the community, is to follow a program that learns under the guidance of a teacher or study together in one place. Based on a survey conducted by interviews using several digital Al-Quran applications available in the android play store as a media for Tahfidz Al-Quran. The usability aspect that has not been fulfilled in using digital Al-Quran as a media for Tahfidzul Quran is efficiency and satisfaction. Therefore, to properly use Tahfidz al-Quran in digital form, it is required to have the appropriate UX modeling in line with the needs of Tahfidz Al-Quran. Because Task-Centered System Design (TCSD) method puts a strong emphasis on user demands and task requirements, this study intends to create a design using TCSD.Furthermore, to ensure that the model developed is within the circumstances and user characteristics, the product model outcomes will be assessed using the System Usability Scale (SUS). The findings of this study provide recommendations for the Tahfidz Al-Quran application's user interface design and have an improved usability score at 88.75, which is expected to be a benchmark for the Tahfidz Al-Quran application. Therefore, the TCSD method can also raise the SUS usability value in the application
Hate Speech Hashtag Classification Using Hybrid Artificial Neural Network (ANN) Method

Social networking sites Twitter is frequently used as a platform for information gathering various communities/forums as well as individuals to discuss certain things. Dissemination of information on Twitter can be in the form of positive information and negative information. One of the negative information is hate speech contained in the form of hashtags on twitter. Hate Speech Hashtag Classification was be carried out using the Hybrid Artificial Neural Network (ANN) method to produce satisfactory results compared to previous methods such as KNN and so on because the large amount of data in Twitter will be very profitable and produce good accuracy when using Hybrid Learning, Hybrid Learning with 5 Cross Validation the highest accuracy is 79% , the lowest is 73%, the average accuracy is 76%.
Prediksi Pemilihan Jurusan Siswa Kelas 1 SMK Menggunakan Jaringan Syaraf Tiruan dengan Metode Backpropagation

Student learning potential can be seen or meansured in various ways, one of them by concluding it’s success in learning. The value of subjects is one indicator that isused as a references to conclude studentlearning success academically. Artificial Neural Networks have the ability to learn and produce rules or operations from some input examples that are entered and make predictions. Backpropagation isone method that is often used in solving complex problems because the network with this method is trained using guided learning methods.