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Sinkron : Jurnal dan Penelitian Teknik Informatika
Published by Politeknik Ganesha Medan
ISSN : 2541044X     EISSN : 25412019     DOI : 10.33395/sinkron.v8i3.12656
Core Subject : Science,
Computer Science & IT
Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial Neural Network 14. Fuzzy Logic 15. Robotic
Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola
Articles 1,196 Documents
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Early detection model of normal and abnormal blood flow using pulse Oximetry non-invasive of pregnant heart rate Wahyuni, Yuli; Zaddana, Cantika; Maesya, Aries; Izzuddin, Ahmad
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11758

Abstract

The heart is an important organ in humans as an identification of early examinations in pregnant women carried out by doctors to determine normal and abnormal pregnancies in the fetus. Heart rate or BPM (beats per minute) is a parameter that indicates the condition of a person's heart. The normal human heart rate ranges from 60-100 beats per minute. In pumping blood throughout the body, the heart then holds it back after being cleaned by the lungs and this is closely related to the level of oxygen flowing in the bloodstream. Humans need sufficient oxygen levels in the body to survive. One of the vital monitoring tools for oxygen levels in the human body is pulse oximetry. Pulse oximetry is usually in units or rooms with high and rapid action cases such as the ICU. From these problems, it is necessary to make a research on a diagnostic instrument model for early detection of normal and abnormal blood flow using non-invasive pulse oximetry, a case study of the heart rate of pregnant women which can be identified early through the max 30100 sensor reading in the form of detecting the heart rate and oximeter, then processed by Arduino uno R3 where arduino uno processes data in the form of heart rate and oxymeter readings so that it can be displayed via a 16x2 LCD, the output is the identification of the value of the heart rate and oximeter input so that the normal and abnormal heart rate conditions are known. The purpose of this study is to detect early pregnant women and fetuses with normal or abnormal blood flow using non-invasive pulse oximetry in which case studies are implemented on the heartbeat of pregnant women. The method used in this study uses the hardware programming method by starting with project planning, research, part testing, mechanical design, electrical design, software design, functional test, integration, overall testing and optimization. The measurement results from the MAX30100 sensor are processed on Arduino UNO R3 and displayed on the LCD screen. The system as a whole can work with energy supply from the power supply. After measuring with a comparator that has been calibrated, the average error value of the measurement is 3.32 %.
Implementation of Web-based of E-Marketplace for UMKM at XYZ University Devega, Mariza; Walhidayat, Walhidayat; Yuhelmi, Yuhelmi
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11761

Abstract

One of the private universities in Pekanbaru, which has nine postgraduate faculties and 10 faculties with 21 study programs. The number of the academic community is quite large, there is already a whats app group that facilitates the entire Academic Community in terms of transacting selling goods or services online. However, in practice it has not been fully effective, one of which is because there are no clear rules in trade ethics, for example, one person may only post a maximum of two products a day because if there are too many, it will overwrite other seller's product postings as well. This often happens, causing whats app groups are only dominated by one or two people who post all the products sold along with their customer testimonials. This of course can harm other sellers, it can also disturb the comfort of the group for both sellers and buyers. Therefore, to answer these problems, a market place is proposed specifically for the entire XYZ’s Academic Community. In addition to reviving UMKM at XYZ University, it is also a forum to make it easier for lecturers, employees and also students to make transactions that are comfortable and effective for both sellers and buyers. Furthermore, system development will be carried out both from adding features, android-based and matters related to user convenience in interacting with the system.  
Mobile-Based Design of Information System for Vocational Internship Activities for Vocational Students Alya, Rizwana; Ikhwan, Ali
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11764

Abstract

Information technology that is growing slowly in modernization follows the development of an increasingly aging population, and has an impact on group and individual life. Information technology also provides easy and big things related to collecting the right information directly or indirectly, and citizens get various benefits that are taken through their technological innovations, covering all aspects of life and education. An obstacle that is felt by Brigjend Katamso II Medan Vocational School is still done manually when managing student Internship activities, for example, collecting information on internship student classes, attendance, data on internship places and groups, supervision and student activities and submitting grades are also still manual. Therefore, it is necessary to design an information system for student Internship activities using API pages and the Java programming language so that admins, supervisors, field supervisors and students of SMK Brigjend Katamso II Medan can access this system with their mobile device. In order to implement the application that the researcher wants to create, it will use an R&D approach, so that the data collection methods used are interviewing, observing and studying literature. The development of the system used in this INTERNSHIP activity system is using the RAD method during system development, in order to create a system that provides objective information and can provide assistance to SMK Brigjend Katamso II Medan.
Data Mining implementation on SMUN Scholarship recipient candidates using the C4.5 algorithm Rusdiansyah, Rusdiansyah; Supendar, Hendra; Suharyanti, Nining; Tuslaela, Tuslaela
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11767

Abstract

This research is motivated by SMUN  previously only providing scholarships for underprivileged students, while for students who excel, the method is not yet, therefore, research by implementing data mining with the C4.5 algorithm method so that in the future, if the scholarship program is for outstanding students already exists, then SMUN  can immediately apply it. The sample data are 33 scholarship recipients with subjects that have been determined based on the report card scores of prospective scholarship recipients. The selection results for receiving scholarships to outstanding students so far have only been calculated in general terms, the possibility of incorrect results will cause losses for students who have good achievements. As a result, there are students who should get the scholarship rights and do not receive it. The problem of this research is how to make it easier to analyze students who need and are entitled to receive scholarships, how to make it easier to select and determine scholarship recipients. The research uses the C4.5 algorithm to overcome these problems. With the C4.5 algorithm, the percentage accuracy value can be calculated which is used to determine whether the student is entitled to receive a scholarship or not. The data collection technique in this study is to use student report cards. classification value in determining students who get scholarships with the highest accuracy of 81.81%. The accuracy value was obtained by experimenting with the testing process with the number of student data as many as 33 students. It is hoped that it will make it easier to receive scholarships for students who excel academically in school.
Implementation of Data Mining to predict sales of Bogo helmets using the Naïve Bayes algorithm Mariskhana, Kartika; Sintawati, Ita Dewi; Widiarina, Widiarina
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11768

Abstract

Consumer needs for safety and comfort in driving are very important, especially for two-wheeled or motorcycle riders. A good helmet is a helmet that is safe and comfortable when worn. Helmet qualifications that meet SNI standards are open helmets and closed helmets. Transactions are carried out online, because it was still in a pandemic situation when it was established. By carrying the tag line "Ride Safety With Your Own Style", trying to educate the younger generation to keep paying attention to safety when driving but also not neglecting fashion. For the type of sale of bogo and retro helmet brands, with a variety of colors and affordable prices. A common problem faced is how to predict or forecast future helmet sales based on pre-recorded data. This prediction is very influential on the decision to determine the number of helmets that must be provided, if you order helmets in sufficient quantities and it turns out that only a few helmet sales are sold and this will cause the stock of helmets to accumulate. The results of predictions for the sale of bogo helmets in Baris True Instances amounted to 16 data, which means Valid with 53% data accuracy. Meanwhile, there are 10 data classified as Instancely Classified Instance which means Invalid, with data accuracy of 46.67%. The amount of accuracy in the Weka application is the same as the amount of accuracy in Excel calculations. From the explanation above, the Naïve Bayes algorithm method is the best solution for predicting important things in a business need and others.
Application of with C4.5 algorithm to measure the level of student satisfaction with student services Sinaga, Bosker; Manurung, Jonson; Br Tarigan, Nera Mayana; Br Sitepu, Siska Feronika; Barus, Nadela
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11774

Abstract

In measuring the level of student satisfaction with student services, it is better to use a method/algorithm to find out how much in certain criteria/services the level of student satisfaction and which services need to be improved. In providing student services, it has been going well, but the difficulty in measuring the level of student satisfaction with student services has not used an algorithm. Data mining as a data mining technique is very important to use in extracting data from measurements that have been carried out so far. Data mining in analyzing data uses several algorithms, one of which is the C4.5 algorithm. The research method is the survey research method, which is a survey research method. This is a research method conducted using surveys or collecting data through research respondents. The purpose of this study is how to apply data mining with the C4.5 algorithm in measuring the level of student satisfaction with student services. This study targets the measurement results of academic criteria/services, guidance and counseling services, interest and talent services, scholarship services and health services. The results of this study were to determine the role of the decision tree on measuring the level of student satisfaction with student services.
Decision support system for determination Head of Study Program with analytic network process method Br Tarigan, Nera Mayana; Marpaung, Meman; Rangita, Gayatri; Maduri, Maduri
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11776

Abstract

Changes in management in institutions are common, but in making changes, it is better to use an analysis with the application of technology and methods used in the application. In structural management changes, especially at the head of the study program, it is still very common to make direct appointments. This can result in errors in making selections and cause problems of ignorance, lack of productivity. So it is appropriate to build an application by applying the method as an analysis. This study aims to analyze the determination of the head of the study program by applying the Analytic Network Process Method, designing and building a decision support system for the determination of the head of the study program. The Analytic Network Process method is used to analyze in determining the head of the study program based on criteria, this decision support system is built on a web-based basis. The research method is the survey research method, which is a survey research method. This is a research method conducted using surveys or collecting data through research respondents. This research is targeted to assist the management in determining the head of the study program. The results of the research that the highest value is 0.18856 followed by 0.15252, 0.05329, 04582, 0.032110, 0.02770 in the limit matrix table.
Application of the Kerthi Bali Economy in a Web-Based Geospatial Visualization Information System Karyada, I Putu Ferry; Sanjaya, Kadek Oky; Arthadana, Made Gede; Paramita, I Gusti Agung; Mahayasa, I Gede Aryana
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11777

Abstract

Traditional village is a unit of customary law community in Bali which has territory, position, original structure, traditional rights, own assets, traditions, and social manners of community life from generation to generation. One of the values ​​of local wisdom that can be implemented in economic activities is Sad Kerthi, namely the six main sources of welfare/happiness of human life. The Kerthi Bali Economy is an economy to realize an Independent Bali in the Economic Sector, built and developed based on the values ​​of Sad Kerthi's philosophy. Because the principle of Kerthi Bali Economics is a new concept, the researcher analyzes the contents and phenomena described in the Kerthi Bali Economics book and is associated with other economics references. At this stage will produce an indicator in measuring the economic principles of Kerthi Bali. There are 11 economic principles of Kerthi Bali that are harmonious with nature, culture and people. The development model used by the researcher uses the Waterfall Model. In this study, researchers used several stages in the waterfall model, including requirements, design, implementation, verification, and maintenance. The system design uses MySQL as the database as well as PHP and HTML for basic programming. This research succeeded in developing the Application of the Kerthi Bali Economy in a Web-Based Geospatial Visualization Information System. Testing the system using the Black Box Testing method, which produces all the pages tested in accordance with the expected results.
Mobile-Based COVID-19 Vaccination Registration Application Prototype Abdillah, Leon Andretti; Kurniasti , Azka
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11779

Abstract

Information technology-based applications have entered the era of mobile phones or smartphones such as those using the Android or iOS operating system. Mobile-based application development has become a trend for today's society. Especially during the global COVID-19 pandemic, almost all activities are carried out remotely through mobile-based applications. To prevent the spread of COVID-19, mass vaccines are given to the public. So that the process of administering the vaccine does not cause crowds, it is necessary to create a mobile-based application. So that the application can be further developed properly, it is necessary to make a prototype. The prototype consists of 5 (steps): 1) Quick plan, 2) Modeling Quick Design, 3) Construction of prototype, 4) Deployment Delivery & feedback, and 5) Communication. In this research, the InVision design tool is used which can help design prototypes for both mobile and web versions. InVision has been widely used in making prototypes and is used by many digital companies in the world. The results obtained are in the form of a prototype application for the registration of vaccine participants via mobile phones and also the web. The programmers will easily translate the prototype results into a mobile-based application for the benefit of mobile phone-based online vaccine registration.
Predicting Employee Attrition Using Logistic Regression With Feature Selection Wardhani, Fitri Herinda; Lhaksmana, Kemas Muslim
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11783

Abstract

Employee attrition is a reduction in employees that happens gradually. Employee attrition can damage the organization of a company, including the projects and its employee structure. This study aims to predict employee attrition in a company using the logistic regression method. Employee attrition can be predicted using machine learning because the machine learning approach is not biased due to human interference. In addition, human resources in a company need to know the most influential factors that cause the occurrence of employee attrition. In this study, we proposed feature selection methods to identify those influential factors and simplify the data training. Our approach is to predict employee attrition with three kinds of feature selection methods, namely information gain, select k-best, and recursive feature elimination (RFE). The 10-fold cross-validation was performed as an evaluation method. Prediction of employee attrition using the logistic regression method without applying feature selection gets an accuracy value of 0.865 and an AUC score of 0.932. However, by applying the RFE feature selection showed the highest evaluation result than information gain and select k-best, with an accuracy value of 0.853 and an AUC score of 0.925

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