bluuebunny/crossref_metadata_2025 huggingface dataset:
Pembangunan Smart Detection Absensi Berbasis Kartu RFID dan ESP 32
Authors: Asshiddiqi Fikri Fajar , Triayudi Agung , Aldisa Rima Tamara
Published: October 2022

In today's era with the rapid development of technology and the development of semiconductor technology, it is possible to create integrated circuits on an increasingly large scale and can integrate many different systems. One of the benefits of current technological developments in the attendance recording tool, whose data is integrated into the learning information system to replace the manual recording model. This tool is designed by integrating the work of a radio frequency identification (RFID) microcontroller into one system. The extracted data as a unique number from the RFID tag is used as student data. After the card is attached to the assessment device, student data will automatically be entered into the attendance database. By making this tool, it can facilitate the work and activities of students and lecturers in conducting lecture activities and also as learning for all in this period of rapid technological development
Penerapan Monitoring Locator Dies pada Perusahaan Stamping Part Otomotif
Authors: Permana Denny Riandhita Arief , Suseta Morgan , Ismono Ahlan
Published: October 2022

PT. Ganding Toolsindo is an automotive stamping parts company that has been established since 1998. This design is illustrated by conducting research at the kruing plant which is placed in the production division to assist the audit process at first and collect customer data, then get a mandate from the managerial to create an information system that is integration and innovation in the area of return and use of dies. Then look for accurate data with various methods so that the implementation of this system goes well, on this occasion the design was made with the concept of a dies locator information system that tracks the existence of dies for production and contains the identity of dies data in the production process. The problem that occurs is that the operator often places the dies not according to the existing shelves and in the end the dies become unorganized and neat when the production process is running. The method of developing this system is to use SDLC (system development life cycle), namely Waterfall. This information system uses mysql and codeigniter, then to run this system using xampp. The whole of this information system is about tracking the dies whether they are in production or on the shelf, if they are being repaired, the status of the dies will change as well as the status of the dies when they are being used in production. In this system feature there are customer data, part data, shelf data, user data and the duration of use of the dies. In the end, this system generates a report to the production supervisor to be seen and in what dies data is being used in production so that there will be no more misplaced shelves.
Klasifikasi Image Untuk Jenis Buku Bacaan Anak-Anak dengan Menggunakan Convolutional Neural Network
Authors: Winiarti Sri , Wukir Cendani , Ahdiani Ulaya , Ismail Taufiq
Published: October 2022

This study was made to classify the types of children's reading books based image on the on the cover. The types of books used in this research are fairy tales, educational books and comics. The problem that occurs is that there are many types of reading books so that there are no errors in identifying children's literature, then classification is carried out. Uses approximately 1002 image data. This study uses the method Convolutional Neural Network (CNN). The purpose of this study was to classify the types of children's reading books to suit the age of the reader. It is hoped that the research objectives can make it easier for parents to find books that are appropriate for their child's age. Convolutional Neural Network (CNN) is a method deep learning that is usually used to process data in the form of images. The research stages start from literature study, data collection, data processing, needs analysis, design, implementation and testing. The collection uses several methods, namely: literature study, documentation method, interview and questionnaire method. The design is carried out from input image data, followed by calculating the accuracy and classification process which results in image classification. Implementation using the Python programming language. Evaluation of the performance of testing the accuracy value using the confusion matrix. The result of the research is a system that can classify the types of children's reading books using 70% training data and 30% test data. With an accuracy rate above 80%.
Klasifikasi Transaksi Penipuan Pada Kartu Kredit Menggunakan Metode Resampling Dan Pembelajaran Mesin
Authors: Febriady Mukhlis , Samsuryadi Samsuryadi , Rini Dian Palupi
Published: October 2022

The high number of credit card fraud causes a lot of losses for both users and credit service providers. Because the rate of credit card transactions is very fast, it is necessary to detect credit card fraud as early as possible. However, another challenge that is no less important is the amount of data that is imbalanced between valid and invalid transactions. One solution to the problem of data imbalance is to use a resampling method that can improve the quantity of data so that the accuracy results are good. In this study, three types of resampling methods were implemented, SMOTE, bootstrap, and jackknife. Furthermore, to validate the success of the resampling method, three types of machine learning methods were used. The machine learning methods are SVM, ANN, and random forest. From the test results, it was found that the combination of resampling SMOTE and random forest methods produced the best performance with values of accuracy, precision, recall and F1-score of 99.95%, 81.63%, 90.91% and 86.02%, respectively.
Pengembangan Mobile Learning Management System Dengan User Centered Design (UCD) Menggunakan Flutter Framework
Authors: Kartiko Condro , Wardhana Ariq Cahya , Rakhmadani Diovianto Putra
Published: October 2022

The Learning Management System is a supporter of online learning management so that the teaching and learning process remains quality like face-to-face. This study aims to develop a mobile learning management system application using the flutter framework for students at the Telkom Purwokerto Institute of Technology with the User Centered Design method. This research creates a mobile-based Learning Management System that can be accessed and functions according to the needs of users, namely students. The application test results show that all functions run according to user needs so that this system can help make online learning easier via smartphones.
Sistem Informasi Penjualan Makanan Menggunakan Metode User Centered Design Berbasis Web
Authors: Aldi Yuli Pratama , Wahyuddin Mohammad Iwan
Published: October 2022

One of the uses of the internet in processing an information can be applied to the design of a system. One of them is a sales site that makes it easier for entrepreneurs to promote their products and make it easier for people to find information and needs. The limitations of product marketing are an obstacle in increasing sales turnover and recording inventory as well as recording sales reports which are still done manually which will have a bad impact so that it hampers the sales process. The purpose of this study is to create an online store website using the User Centered Design method to provide better service for customers and provide convenience for sellers. Researchers use the waterfall method, this method is used to create a software system that is flowing starting from design analysis, coding, and testing. This program is tested using the Blackbox method by entering existing data. This design uses UML or the abbreviation of Unified Modeling Language, PHP language as script, and MySQL database.
Perbandingan Metode WP dan SAW dalam Sistem Pendukung Keputusan untuk Menentukan Tingkat Keberhasilan Guru Mengajar di Tingkat SMK
Authors: Harmayani Harmayani , Harahap Reza Arvania
Published: October 2022

To improve student learning achievement, the learning process must take place well with the support of teachers who have competence, and the spirit of the teacher. In the current situation, schools do not have a system that can help assess the level of teaching success from a teacher to students at school, so that the principal and parents of students cannot know the success of teachers in teaching and guiding students. Realizing this problem, the writer is interested in building a decision support system by comparing 2 methods. Researchers will use the Weight Product and Simple Addictive Weighting methods. At this stage the results of the calculation of the Weight Product method will be compared with the results of the calculation of the Simple Additive Weighting method. Where the results of the comparison are that there are results that are not too significant but the results of the comparison are more dominant towards the SAW method. The accuracy of the SAW method reaches a value of 90% because there is a normalization process from the original alternative value. As for the WP method, it only uses a weighting of the existing alternatives.
Car Battery Power Monitoring and Prediction System Using Microcontroller Based Linear Regression Method
Authors: Rohman Muhammad Hanif Rifki , Prabowo Sidik , Nuha Hilal Huda
Published: October 2022

The accumulator is a device to storage for electrical energy in four-wheeled vehicles, requiring frequent maintenance and supervision therefore the battery can be used for a long time. Most of the drivers rarely check the age of the accumulator, this could lead the vehicle to fail to start the engine and this is usually caused by running out of power. This study aims to minimize the problems that are often faced by motorists, namely, running out of power suddenly which causes the car to be unable to run. In this study, predictions of battery power were carried out using the Arduino Uno microcontroller, the acs712 sensor as a battery voltage detector, and the python language to process data with linear regression methods. The system is evaluated based on the functionality and performance of the system. From the test result, it was found that the system functionality runs 100% according to its function. And the results of the prediction of power with the linear regression method can be done because linear regression gives an R2 of 0.88.
Implementation and Analysis of Service-Based Integrated Platform for Research Center Using Thomas Erl Method
Authors: Putra Muhammad Adriyan , Yasirandi Rahmat , Oktaria Dita
Published: October 2022

The process of developing a platform is a process that consists of various stages. Still, until now, there has been no awareness in utilizing available data and information sources to serve as the basis for developing or creating a platform that can improve the quality of an integrated system. For this reason, a Platform as a Service (PaaS) architecture was built that provides application development and deployment services to process data and information obtained from relevant agencies at Telkom University to monitor the performance achievements of units within Telkom University, especially the Human Centric Engineering Research Center (HUMIC RC). This requires a service-oriented system platform design that can integrate various diverse information systems into a single unit. In this study, the Service Oriented Architecture (SOA) method from Thomas Erl was used to design a service-oriented system platform, where every business process is built in the form of services. REST Service Modeling Process technology is used in modeling services, which produces an integrated service design. In making the platform architecture this time, the API gateway is one of the middleware used on a microservice-based platform. The service-oriented platform that has been built can assist the Institutional Planning, Development, Control or Perencanaan, Pengembangan, Pengendalian Institusi (P3I) unit of Telkom University in monitoring the performance achievements of units within Telkom University so that there is no duplication of data, facilitates the storage of evidence of accomplishments, and reduces the stage and time of the process of searching for proof of performance achievements.
KPK and FPB Number Value Detection System using DAKOTA based on Internet of Things for Indonesian Fourth Grade Elementary School Students
Authors: Permadi Helmi Sendy , Suwastika Novian Anggis , Makky Muhammad Al
Published: October 2022

Dakon Mathematics (Dakota) is a visual media teaching aid for elementary school mathematics (SD) grade IV, which is used to determine the value of the Least Common Multiple (KPK) and the Greatest Common Factor (FPB). Several researchers have built the Dakota props and have tested them. The results state that the Dakota teaching aids can improve students' understanding. In previous studies, Dakota was operated manually without involving information technology. The problem with the manual Dakota tool is in its flexibility and duration in providing accurate feedback to students. Internet of Things (IoT) technology aims to solve flexibility problems and provide real-time and precise feedback to students. The objectives of the research are threefold, namely: (1) Identifying the need for integration of Dakota tools with IoT, (2) Building Dakota systems and tools integrated with IoT, (3) Evaluation of the performance of IoT-based Dakota tools. The first stage carried out is problem identification. It has been carried out to identify development requirements for integrating Dakota tools with IoT at this stage. The results of the system development needs that have been built have been designed to design the system architecture, followed by designing system functionality, designing hardware for IoT, and designing block diagrams on the system that has been built. Research has succeeded in implementing the IoT-based Dakota system. The second stage is that all tool design and implementation activities have been carried out. The third stage evaluates system implementation results based on functionality, feedback accuracy, and delayed response time. All functionality has worked 100% according to the system design that was built, the feedback accuracy according to the system is 100%, and the delay (between the sensor and the microcontroller) for 100 questions is 1 second, for the delay (between the microcontroller and the IoT platform) is 5 seconds.
Presensi Online Menggunakan Global Positioning System untuk Penilaian Kinerja Pegawai Berdasarkan Metode Simple Additive Weighting
Authors: Khoir Syaiful , Yudhana Anton , Sunardi Sunardi
Published: October 2022

Cooperative for Savings and Loans and Sharia Financing BMT Insan Mandiri is a sharia financial institution that is a cooperative in Central Java Province. Insan Mandiri has several branches in Central Java with more than 50 employee. Insan Mandiri uses manual attendance to record attendance and return of employees. The use of manual attendance currently being implemented feels ineffective because it is easy to fake and makes it difficult to calculate attendance and prepare attendance reports.This research aim to designing and creating an Android-based presence application to simplify the attendance process and making attendance reports through the website application. The attendance application is made with two applications. The first application is made with a website with the PHP programming language which are used to input employee data, applicable working hours, and create attendance reports along with the results of the analysis of employee performance levels. The second application is an Android-based built using the Java programming language with the functions as a tool for presence. This application will send attendance data to the server in the form of attendance hours or returns and the location of the employee makes a presence in the form of location coordinate data taken from the smartphone Global Positioning System (GPS) used by employees. This research was conducted by applying the Simple Additive Weighting algorithm which is run on a website application. This algorithm will calculate the sum with the weighted addition method by normalizing the matrix of all alternative ratings sent by the Android application. From the research conducted, it can assist the company in determining the level of employee performance. Furthermore, the system developed is called the presence and performance appraisal system. Testing the attendance application and performance assessment using the SAW method which was completed, obtained accuracy of 60.1% valid data and 39.9% non valid. The accuracy value obtained is low because there are several alternatives that have the same value, causing the alternative order to be different. The system application can run online, Android mobile and the website can be integrated to evaluate employee performance, and can simplify the process of recording employee attendance and return. Based on the black box test, the website and Android applications were 100% running as expected and no errors were found in the software development process. Based on the results of the beta test, 80.3% of respondents agree with the functionality of the application system and the rest are still unsure.
Penerapan Preference Selection Index (PSI) dalam Seleksi Siswa Program Pertukaran Pelajar
Authors: Rizki Hera Tri , Mesran Mesran , Saputra Imam
Published: October 2022

This student exchange program is one of the routine programs of the Medan city government which is carried out every year, in order to improve higher quality education as well as establish international cooperative relations between cities. This student exchange program has provided many benefits in the field of education such as adding insight, exchanging information about science and technology as well as promoting the State of Indonesia, especially the city of Medan to foreign countries. With this program, of course, the Medan Mayor's Office has problems in determining decisions for students from schools to be sent, representing Indonesia to foreign countries. To overcome this, a system is needed that is able to support the decisions of the Head of the Cooperation Relations Section in determining the best students to represent the city of Medan abroad. One method that can be applied to computer-based decision support is the Preference Selection Index (PSI) method as a method in the Decision Support System (DSS) which is able to produce the best decisions from several alternatives based on existing criteria
Rancang Bangun Aplikasi Game Pembelajaran Augmented Reality Berbasis Android Dengan Metode Co-CreaARGBL
Authors: Prasetia Indra , Wibowo Ari Purno Wahyu
Published: October 2022

In a time of pandemic like this, all sector activities, in urban and rural areas, become very difficult and activities are limited. The public is asked to maintain health protocols by using masks, washing hands, maintaining distance, and staying away from crowds. Many activities such as school, working, and worship and many other activities that can gather many people do online with the help of video conferencing support software. Institution for teaching and learning activities including those affected by the Coronavirus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The impact of activities carried out online and carried out almost every time in the world of learning is a decrease in participants’ enthusiasm due to boredom and monotonous impression without further interaction between participants and interactive media. So from these problems it is felt that there is a need for new media that can make online video conferencing learning activities not bored, which can make participants more active and not get bored easily during video conference. By using the Co-CreaARGBL method, making interactive augmented reality game-based learning media into a fun learning game with 3 main stages, that a Training, Interactive Design, and Classroom Evaluation, so that online learning becomes easy and fun by combining interactive multimedia elements that make participants interact more with fun learning media so they are not easily bored and seem monotonous.
Penerapan Algoritma Naïve Bayes Untuk Pengelompokkan Predikat Peserta Uji Kemahiran Berbahasa Indonesia
Authors: Dennis Michal , Rahmaddeni Rahmaddeni , Zoromi Fransiskus , Anam M. Khairul
Published: October 2022

Indonesian Language Proficiency Test is a proficiency test to measure a person's language proficiency in communicating using Indonesian, both Indonesian speakers and foreign speakers. The UKBI rating has 7 rating categories consisting of special, very excellent, excellent, intermediate, poor, marginal, and limited. The number of participants who take UKBI at the Riau Province Language Center has more than 1000 but no one has managed the data into new knowledge. One of the efforts that can be done with the data is classification. The Naïve Bayes Classification Algorithm is a classification algorithm that is very effective (getting the right results) and efficient (the reasoning process is carried out by utilizing existing inputs in a relatively fast way). In order to obtain good accuracy results, the Naive Bayes Algorithm is combined with the Adaboost feature selection with a 70:30 and 80:20 test scheme. The results of the research carried out resulted in the highest accuracy value, namely 89% which combined the Naive Bayes algorithm with the Adaboost feature selection with 70:30 data splitting
Analisis Sentimen terhadap Peluang Kerja di Indonesia selama Masa Pandemi COVID-19 dengan Metode Klasifikasi Naive Bayes
Authors: Abdullah Mohammad Aldinugroho , Mahdiana Deni
Published: October 2022

The impact of the COVID-19 pandemic is very broad, one of which is in the business sector. This has resulted in an impact on job opportunities during the COVID-19 pandemic in Indonesia. This study aims to conduct in-depth learning related to job opportunities in Indonesia during the COVID-19 pandemic using the Naive Bayes model. The data source used comes from Twitter. The results of this study indicate that the largest AUC score falls to the Random Forest model (79.40%), but for more accurate precision falls to the Naive Bayes model (87.88%). In addition, there is a confusion matrix which shows that the Naive Bayes model trial is running well.
Sistem Pendukung Keputusan Penentuan Pelaku Pariwisata Terbaik dimasa Pandemi Covid-19 Menerapkan Metode OCRA dengan Pembobotan ROC
Authors: Haeruddin Haeruddin , Aldisa Rima Tamara , Khairunnisa Khairunnisa , Mesran Mesran , Ginting Garuda
Published: October 2022

The Covid-19 pandemic which has an impact on people's lives and tourism management, which results in a decrease in public interest in traveling due to the Covid-19 pandemic which requires all people to comply with the regulations set by the government such as the regulations set, namely keeping a distance from crowds and reducing mobility. . Which is where this regulation can hinder activities in traveling because it is certain that traveling will experience close distances, crowding and leaving the house, then this is the cause of business actors in the tourism sector experiencing a decrease in income. So this study was made to answer the problem of determining the best tourism actors during the COVID-19 pandemic by counting data from 7 alternatives and 7 criteria where the criteria that have been set include the number of visitors / week, the application of the Covid-19 health protocol, time restrictions on visits, the use of vaccine bets. for staff, facilities and infrastructure, cleanliness and sanctions for the covid group, these criteria are calculated using the Rank Order Centroid (ROC) method, where this method can be used to generate a weight of importance for each of the predetermined criteria and the Operational Competiticness Rating method. Analysis which is included in one of the decision support system methods that can produce precise and accurate final preference values. So in the study that was determined as the best tourism practitioner during the COVID-19 pandemic, alternative A3 was the Sidebuk Debuk Berastagi Baths with a final preference value of 1,497 as the best alternative
Pemanfaatan Sistem Keputusan Dalam Mengevaluasi Penentuan Aplikasi Chatting Terbaik Dengan Multi Factor Evaluation Process
Authors: Rahadjeng Indra Riyana , Siregar Muhammad Noor Hasan , Windarto Agus Perdana
Published: October 2022

The rapid development of chat application features shows that information technology is increasingly global. This study aims to help smartphone users, especially beginners, to be more selective in choosing the chat application that suits their needs. The method used in this study is a Decision Support System with a Multi-Factor Evaluation Process (MFEP) as a solution for solving cases. The dataset used in this study was obtained by distributing questionnaires to respondents at random, both directly and virtually by using the google form to provide an assessment of the questionnaire to some active users of the Chat application. The alternatives used are Messager, Line, Instagram, Whatsapp, and Telegram and the criteria used are storage media, security, display (interface), application features, and network usage. The results obtained indicate that the Whatsapp alternative is the first recommendation as to the best chat application with a final score of 8.l5. Alternative Instagram became the second recommendation with a final score of 7.21 and Messager became the third recommendation with a final score of 6.18.
Analisis Resiko Kanker Serviks Menggunakan PCA-ANFIS Berdasarkan Historical Medical Record
Authors: Sunariadi Noviati Maharani , Fadilah Siti Nur , Novitasari Dian Candra Rini
Published: October 2022

Cervical cancer is the second highest disease in the category of women that accounts for the most deaths based on data from WHO. Based on data from the Global Cancer Observatory (Globocan), cervical cancer has a total of 36,633 cases with a death rate of 21,003 cases due to cervical cancer and is relatively high. People with this disease are often difficult to distinguish between healthy and not. So the purpose of this study is to discuss the diagnosis of cervical cancer using the Adaptive Neuro Fuzzy Inference System (ANFIS) and Principal Component Analysis (PCA) reduction to find the best accuracy in the diagnosis of cervical cancer. ANFIS is a system used for modeling based on fuzzy Sugeno, which considers the simplicity of computation. PCA is a method applied to express information expressed in data and specified in an alternative form. The amount of data used is 72 data with 10 features. Then the data is normalized and feature reduction is performed using PCA. After doing feature reduction by PCA obtained 4 influential features. Furthermore, analysis using ANFIS was carried out from the data that PCA extraction was carried out and which was not carried out. Then the accuracy test is carried out using the confusion matrix. The best result based on diagnostic accuracy is ANFIS using 91.67% PCA with the model obtained from the 3rd k-fold and the membership function type is trapmf, while the accuracy without PCA is smaller than using PCA, which is 86.67%.
Penerapan Metode Forward Chaining Pada Aplikasi Daring Untuk Mendeteksi Penyakit Anemia
Authors: Budiyati Endah , Rihyanti Erni
Published: October 2022

An important factor in carrying out daily activities is the fulfillment of good health conditions. Many people do not care about the condition of the body so that it can affect health where in the end the disease will easily come to cause conditions that threaten the body to death. This indifference is due to being late in anticipating the situation so that it is often handled too late. Anemia is one of the diseases that often come unnoticed by the community where if it is handled too late, it will be life-threatening. Symptoms of anemia suffered by the community are usually treated by going to the puskesmas for examination. Examinations carried out by visiting the puskesmas certainly take time and energy where not all people have free time. Overcoming this, this research can help the community to find solutions quickly and effectively when health conditions occur and treat anemia symptoms. The experimental method in this type of qualitative research is the choice in the current research. Data analysis was conducted to collect data by interviewing sources of information related to the research material. The system development method applied uses the waterfall model where each stage of development is carried out gradually downwards. The system development is then implemented in the form of a web-based system using PHP programming and MySQL as the database. The technical language of the system development itself uses UML tools such as activity diagrams, use case diagrams, sequence diagrams. This research produces an application in the form of an expert information system to detect anemia based on references from experts using the Forfard Chaining Method. The Forward Cahining method is a forward reasoning method that uses facts as knowledge representations to draw conclusions. This developed system produces output in the form of a diagnosis calculation for the user whether he is suffering from anemia or not.
Pengujian ISO 25010 Pada Smart Chair Akupresure Berbasis Internet Of Things (IoT)
Authors: Daryanto Diki , Anam M. Khairul , Efendi Yoyon , Rahmaddeni Rahmaddeni
Published: October 2022

Smart chair acupressure is a technology that has been built using the application of the internet of things concept. The purpose of this study was to determine the quality level of the Acupressure Smart Chair, so that there are no errors in some features and the occurrence of errors in its functionality, which must be in accordance with the specified usability, the researchers conducted a test by utilizing the characteristics of ISO 25010. Related to the researcher's reasons taking ISO 25010 as one of the tests on the acupressure smart chair is because the smart chair acupressure technology cannot be said to be feasible because there has been no testing carried out in the measurement, the researchers used ISO 25010 which utilizes several characteristics that can be used such as functional suitability, usability and performance efficiency which focuses on measuring the electronic equipment used. Basically the concept used in this research is the internet of things which is a system that functions to control and simplify the workings of acupressure massage techniques for users. Whereas other problems that occur and arise often depend on customer satisfaction related to the quality provided on software and devices. This study uses the ISO 25010 method as the standard for the feasibility test on the device, where ISO 25010 basically also has 8 characteristics. In this study, to test the smart acupressure hair, the researchers used 7 characteristics that exist in ISO 25010, namely functional suitability, compatibility, usability, performance efficiency, reliability, maintability and portability. The instrument used is looking for an approach using the formula for reliability testing and processing on SPSS software. The results obtained from this study are that the acupressure smart chair has not been able to meet the ISO 25010 standard because the results obtained are 34.9% with an alpha cronbch value of 0.46 (unacceptable)
Aplikasi Customer Relathionship Management Untuk Klasifikasi Pelanggan Menggunakan Algoritma C4.5
Authors: Utami Ruli , Primadana Ferry Andhika , Atmojo Suryo
Published: October 2022

The Tutoring Institute (LBB) is a business service that is growing in Indonesia, the number of existing competitors greatly affects to customers number who use these tutoring services, so great strategies are needed to attract new customers or retain old customers. To select customers that eligible for the promo package provided by LBB, an application is needed that can accommodate the classification needs of which customers are eligible or not to get the promo. To overcome this problem, it is proposed to build a customer relationship management application with the implementation of the C4.5 algorithm which has a classification function in data mining method. Based on the analysis, data processing, and testing that has been done; it is concluded that the implementation of the C4.5 algorithm is suitable for use in case studies taken with an average accuracy value of 86%. In addition, it is also concluded that the more data used in the training process affects the level of system accuracy, this is evidenced by two tests using different amounts of training data.
Penerapan Metode Certainty Factor Dalam Diagnosa Hermatologi-Onkologi
Authors: Gaol Nur Yanti Lumban , Lusiyanti Lusiyanti , Nasyuha Asyahri Hadi
Published: October 2022

Hematology oncology is a blood cancer that is quite worrying because it is identical to a condition that leads to death and this happens all over the world, where this disease not only affects adults but can also occur in children. Some experts suspect that the cause of blood cancer is due to changes in DNA that can trigger healthy blood cells to become cancerous. The World Health Organization (WHO) has stated that blood cancer is a very serious health problem because the number of sufferers increases by about 20% per year. This condition can certainly be prevented if patients who experience this disease can be detected early. To help overcome these problems, an Android-based system was developed that can diagnose blood cancer early based on the symptoms experienced by the patient, and this system was developed through a process of adopting expertise from experts into the form of a computer-based system known as the Expert System. . In order for the results of the diagnosis to have a high level of accuracy, an appropriate method is needed in its application, for that a method with a certainty factor algorithm is used. Based on the research results, in designing an expert system that adopts the Certainty Factor method, it can be used in solving problems related to the process of diagnosing hematological oncology diseases with an accurate level of certainty, this makes the diagnosis process easier and accuracy in determining oncological hematological diseases by utilizing the system.
Penerapan Clustering K-Means untuk Pengelompokan Tingkat Kepuasan Pengguna Lulusan Perguruan Tinggi
Authors: Praseptian M Dikky , Fadlil Abdul , Herman Herman
Published: October 2022

One way to evaluate the quality of graduates is to provide questionnaires to graduate users, namely agencies / companies in the world of work in order to assess the quality of graduates of each university. Questionnaires for graduates are generally carried out by filling out the questionnaire form physically and then returning to the college. The K-Means method is one of several non-hierarchical clustering methods. Data clustering techniques are easy, simple and fast. Many approaches to creating clusters or groups, such as creating rules that dictate membership in the same group/group based on the level of similarity between the members of the group. Other approaches such as creating a set of functions to measure multiple criteria from grouping as a function of some parameters of clustering/grouping. From the results and discussions, K-Means clustering succeeded in grouping graduate user satisfaction data into three clusters where the results shown by manual calculations and applications showed the same results where clusterS C1 as many as 48 alternatives, C2 as many as 1 alternative, and C3 as many as 2 alternatives. In the sense that the application that is built successfully implements K-Means clustering is evidenced by the comparison of applications with weka tools has similar percentage results. In terms of the percentage of graduate users or alumni from STMIK PPKIA Tarakanita Rahmawati 94.12% Very satisfied, 1.96% Satisfied and 3.92% Quite Satisfied.
Pengaruh Distribusi Panjang Data Teks pada Klasifikasi: Sebuah Studi Awal
Authors: Faraby Said Al , Romadhony Ade
Published: October 2022

In text classification, there is a problem with text domain differences (cross-domain) between the data used to train the model and the data used when the model is applied. In addition to the problem of domain differences, there are also language differences (cross-lingual). Many previous studies have looked for ways how classification models can be applied effectively and efficiently in these cross-domain and cross-lingual situations. However, there is one difference that is not given special attention because it is considered not very influential, namely the difference in text length (cross-length). In this study, we further investigated the cross-length condition by creating a special dataset and testing it with various commonly used classification models. The results showed that the difference in the distribution of text length between the training data and the test data could affect the performances. Cross-length transfers from long to short texts show an average decrease in F1-scores across all models of 14%, while transfers from short to long texts give an average decrease of 9%.
Implementasi Electronic Data Processing Untuk meningkatkan Efektifitas dan Efisiensi Pada Text Mining
Authors: Nofiyani Nofiyani , Wulandari Wulandari
Published: October 2022

Technological developments make the distribution of the amount of data more and more and continue to grow every day, these developments can be used to mine data which can later be processed into text/information needed for its use. Preprocessing is part of text mining where the process is divided into several stages, namely case folding, symbol removal, slangword conversion, stopword removal, stemming and tokenization. The news obtained is raw data from the xlm file from google alert which is then inputted into a system developed using the PHP programming language and mysql database. The data processing method in this research is Electronic Data Processing. The use of this system is expected to help the data preprocessing process where the process takes a long time, especially if a large sample of data is needed. The results of the study showed that a crawling process data processing information system for 20 data records only takes 0.0079004486401876 Mins and the data cleaning process or preprocessing for 88 data records only takes 0.012900729974111 Mins. In other words, data processing using the system is more effective and efficient for the next process.
Identify User Behavior based on Tweet Type on Twitter Platform using Agglomerative Hierarchical Clustering
Authors: Weninggalih Prawiro , Sibaroni Yuliant
Published: October 2022

Information dissemination can occur through any media, including social media. One of the social media that has become a forum for disseminating information is Twitter. Through user-uploaded tweets, not a few comments are positive (praise/support) or negative (blasphemy), depending on the tweet. This study chooses politics as a discussion. Data crawling was carried out to obtain a dataset and raise the topic of Joko Widodo as a President of Indonesia, whose work is considered poor by the public, so they want him to resign immediately. This makes it interesting because we can identify user behavior from tweets about the topic. The choice of this topic was based on a lot of users who discussed it, so it was trending on Twitter. Preprocessing stage aims to eliminate missing values. After that, it then goes through the feature extraction process. The agglomerative Hierarchical Clustering Algorithm of the clustering method is applied in this research. This algorithm can directly set how many clusters to facilitate the clustering process. The result obtained 3 clusters with different user behavior. Negative user behavior is found in cluster 1, while positive user behavior is found in cluster 2.
Perancangan dan Implementasi Encoder dan Decoder CRC-8 untuk Pendeteksian Error pada Transmisi Data antar Perangkat IoT
Authors: Priyadi Donny , Wellem Theophilus
Published: October 2022

Cyclic Redundancy Check (CRC) is a widely used error detection code in digital communication systems to detect errors in data transmitted between transmitter and receiver. With the development of Internet-of-Things (IoT) technology, where many devices communicate wirelessly, the application of error detection codes such as CRC is essential to obtain reliable communication. The computation of CRC can be implemented in hardware using a linear feedback shift register (LFSR) or in software with shift and bitwise exclusive OR (XOR) operations for polynomial division. Due to the frequent use of CRC in wireless communication for IoT, research for the design and implementation of CRC continues to this day. This study aims to design and implement the encoder and decoder of CRC-8 with generator polynomial 0x07 on IoT devices. Two algorithms for computing the CRC, namely bitwise computation using LFSR and another one using lookup tables, are implemented on the Arduino Uno R3 board. Two Arduino boards connected in serial were used to verify the encoder and decoder implementation in the data transmission and error detection process. The experiment results showed that the encoder could correctly calculate the CRC value from the input data. Furthermore, the computation using lookup tables takes about four times faster than the bitwise method but requires more memory. In contrast, the bitwise computation method requires less memory but slower computation time. When testing using input data of 128 characters, the bitwise-based encoder requires a computation time of 2.37 milliseconds, while the lookup table-based encoder utilizing a lookup table requires a computation time of 0.5 milliseconds. In the error detection test, the results demonstrated that the receiver could detect errors in the transmitted data with a percentage of 100%.
Algoritma K-Nearest Neighbors dan Synthetic Minority Oversampling Technique dalam Prediksi Pemesanan Tiket Pesawat
Authors: Suci Wulan , Samsudin Samsudin
Published: October 2022

This study applies the Synthetic Minority Oversampling Technique to improve the performance of the K-Nearest Neighbors method in predicting the unbalanced data class. Most classification algorithms implicitly assume that the processed data has a balanced distribution, so that the standard classifier is more inclined towards data with a dominant class number (majority class). The use of Synthetic Minority Oversampling Technique can improve the performance of the K-Nearest Neighbors method for flight ticket booking data. Although in terms of accuracy, Synthetic Minority Oversampling Technique with K-Nearest Neighbors is lower at 79.65% compared to K-Nearest Neighbors without using Synthetic Minority Oversampling Technique, which is 97.81%, the suggested technique did not improve but from other performance, The proposed method can outperform K-Nearest Neighbors by using Synthetic Minority Oversampling Technique in terms of precision, recall, and F1-Score when applied to the Airline Ticket Booking dataset. Precision increased 18.00% from 62.00% to 80.00%, recall increased 28.00% from 52.00% to 80.00%, and F1-Score increased 27.00% from 53.00% to 80 ,00% on the flight ticket booking dataset.
Sentiment Analysis Pada Masyarakat Terhadap LRT Kota Palembang Menggunakan Metode Improved K-Nearest Neighbor
Authors: Arafah Siti Nur , Fathoni Fathoni
Published: October 2022

The LRT is a sustainable fast transportation system, which was built to overcome the congestion problem in the city of Palembang. In order to attract people's interest to switch to using public transportation compared to private transportation, one of them is by improving the quality of services provided. Sentiment analysis is used to classify positive and negative opinions on users of Palembang City LRT transportation services. In addition to retrieving data through crawling data on tweet data, the researchers also distributed questionnaires. In conducting the classification process of sentiment analysis, this study uses the Improved K-Nearest Neighbor method which is a modification of the K-Nearest Neighbor method. The results of this research are testing and training data on 1617 data records and the highest accuracy of 74.07% on 90% training data and 10% testing data, with 70% precision, 56% recall and 59% f-1 score, while the lowest accuracy with an accuracy of 63.04% on 50% training data and 50% testing data, with 44% precision, 42% recall and 42% f-1 score
Penerapan metode 7S McKinsey pada Ebay sebagai Strategi E-commerce & Bonus Demography Menghadapi Globalisasi
Authors: Pratiwi Hasna Widya , Mas'ud Fuad
Published: October 2022

E-commerce is an important pillar in the changing times and gives a significant influence on everyday human life. E-bay which is one of the largest e-commerce companies in the world has grown very rapidly and provides exceptional service to the world community. The services provided have helped a lot in overcoming problems in facing demographic bonuses, especially absorbing labor; human resource development and information technology development. The strategy used by ebay.com also has a tremendous impact on competitors in the field of e-commerce, a strategy owned by ebay.com despite being very good, still requires innovation in it, this should be done because very fast and inflexible changes in e-commerce strategies, ebay will not be able to cope with those changes. change is a good form, where this transformation can have a positive impact on society and make changes to culture significantly, the change should cover the whole lifestyle and also cover the whole mindset and attitude, therefore ebay.com make many changes positive in the face of globalization, and changes in e-commerce strategy in the face of competition among companies in the world, especially in the field of e-commerce and human resources
Агробиологическая эффективность комбинированного орошения сельскохозяйственных культур в Нижнем Поволжье
Authors: Лытов Михаил Николаевич
Published: October 2022

Сложные природные климатические условия региона Нижней Волги определяют потребность орошения целого ряда возделываемых сельскохозяйственных культур. Оценена агробиологическая эффективность комбинированного орошения сельскохозяйственных культур в условиях засушливого климата Нижнего Поволжья. Проанализированы данные полевых опытов, выполненных на репрезентативных площадках в 2017 – 2021 гг. Исследования проводили в виноградном маточнике, с культурой земляники в период закладки плантаций, а также при выращивании картофеля. По каждой оцениваемой культуре было заложено 2 опытных варианта: 1-й — капельное орошение (контроль); 2-й — комбинированное орошение. Технологии возделывания оцениваемых культур разрабатывали в соответствии с особенностями зональной агротехники. Применение комбинированного орошения для компенсации негативных факторов окружающей среды обеспечивает высокую эффективность в сравнении с проведением оросительных мелиораций по монотехнологии. Комбинированное орошение в сравнении с капельным обеспечивает близкую к абсолютной приживаемость виноградной школки, позволяет на 11,2 % повысить выход элитных саженцев винограда; более чем на 25 % увеличивает приживаемость рассады земляники при закладке новых плантаций; позволяет более чем на 10 т/га повысить урожайность картофеля. При этом комбинации способов и технологий полива должны учитывать видовую специфику выращиваемых культур и особенности технологии, которые применяют на каждом этапе их возделывания.