Articles
1,196 Documents
<![CDATA[Enterprise Architecture for Payment System Industry in Industrial Era 4.0 ]]>
<![CDATA[Prawira, Khairul Thamrin]]>;
<![CDATA[Makmur, Amelia]]>;
<![CDATA[Santoso, Handri]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11933
<![CDATA[Today online payments are in demand by most people. Because of the practicality of making payments digitally. This phenomenon has encouraged many industries in the field of finance to make breakthroughs in technology to develop marketing through platforms that have been built. Of course, the platform that is built is a platform that is following the business process requirements of the company. Business processes in the finance industry have become a digital payment platform, making companies in the finance sector carry out digital transformations. Processes that have been carried out manually have been replaced with digital and online processes that bring many opportunities to the finance industry. At the same time creating market opportunities for the company. Thus creating a very broad market for companies carrying out digital transformation. Communities benefit from the changes made by the company. The benefit is that people do not need to make payments or transfer funds. No need to queue up payments at the bank or payment counters. By simply clicking on the smartphone, the payment can go directly to the intended account. This revolution in digital finance transformation has both positive and negative impacts. Positive impacts such as the ease of transferring funds, and negative impacts if the company does not carry out protection or cyber security will have an impact on the company and the user community. Therefore, finance companies must protect or secure data while using the payment platform. A lot of education is done for the people who use the payment platform, where the platform must always update the version. For this reason, payment platform provider companies must be able to make continuous changes. Continuous improvement and continuous development make it a must for payment system service operator companies. Related to the description above, payment system companies must implement Enterprise Architecture for the benefit of the company. The result of Enterprise Architecture is a blueprint of all company production components or an Information Technology Blueprint. This is the goal of research on payment systems for companies carrying out digital transformation]]>
<![CDATA[Android-Based Doctor E-Consultation Application Using Scrum ]]>
<![CDATA[Andika, Rendy]]>;
<![CDATA[Zufria, Ilka]]>;
<![CDATA[Triase, Triase]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11935
<![CDATA[The standard service hospitals provide for their patients is a doctor's consultation. However, many patients need help accessing this service due to having to go to the hospital, queuing, and long waiting times. So that patients no longer have difficulty accessing consulting services, we need a system that can speed up consulting activities. The system development method used in Android-based e-consulting applications is the Scrum method. The system development process is somewhat accelerated using the Scrum methodology because all development activities require planning and timing for each sprint, starting with sprint planning, continuing through the daily scrum, sprint review, and sprint retrospective, which is repeated at each sprint to avoid delays in application development. By offering consultation services online, this system allows patients to access existing facilities and more efficiently supports the improvement of consulting services at existing hospitals, especially in Indonesia.]]>
<![CDATA[Implementation of Information Technology Governance in Man 1 Medan Using the Cobit 5 Framework ]]>
<![CDATA[Harahap, Aninda Muliani]]>;
<![CDATA[Ikhwan, Ali]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11936
<![CDATA[In response to the rising usage of information technology, organizations should implement an information technology plan aligned with company goals. Similarly, in education, information technology is used for business purposes. The purpose of this research is to look into the implementation of information technology governance utilizing the COBIT 5 framework. This study was carried out at MAN 1 MEDAN. The survey technique collects data through the distribution of questionnaires to information technology managers and key users in various businesses. Descriptive research discovered that the state of governance and information technology implementation at MAN 1 MEDAN was at level 3 on a scale of 0 to 5. This demonstrated that institutional behaviors had been adequately recorded and internalized. This study aims to contribute to research on the use of information technology governance, particularly for educational institutions and information technology managers, as input material in the management of information technology resources in other institutions. These associated problems are essential considerations for parents or students when selecting a Medan MAN 1 school with a high degree of IT facilities.]]>
<![CDATA[Implementation of Governance in the Treated Water Industry using the Enterprise Architecture Framework ]]>
<![CDATA[Amanda, Djaja]]>;
<![CDATA[Makmur, Amelia]]>;
<![CDATA[Santoso, Handri]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11937
<![CDATA[Today, the development of information technology is very sophisticated in supporting the company's operations. It is undeniable that all companies take advantage of this technology, starting from service to customers to the company's internal operations. Water utility companies basically process raw water into clean water that is ready to be used for household purposes, industrial purposes, offices, and many other uses. Therefore, the processing industry is very much needed by the community. Moreover, it is state tax revenue in the non-oil and gas sector. Therefore, information technology is very necessary for controlling and operating at this water treatment company. Before implementing an information system or an ongoing information system, a guide is needed for implementing the system. All aspects of information technology that support the company's business serve as input in building an integrated system. Business process trimming is needed in order to build better performance. In terms of implementing enterprise architecture, the chosen framework is The Open Group Architecture Framework (TOGAF). while the method chosen is the Architecture Development Method (ADM). The purpose of this research is to apply an enterprise architecture to a water treatment company to produce a blueprint and an IT roadmap within five years to provide the best service for customers. The focus of the discussion on Governance Implementation in this company's system uses Waterfall-based Project Management. By combining the TOGAF ADM Framework in the domains of Architecture Change Management, Implementation Governance, and Migration Planning with the Project Management Body of Knowledge Method, it produces new methods that complement each other.]]>
<![CDATA[Supervised Learning from Data Mining on Process Data Loggers on Micro-Controllers ]]>
<![CDATA[Saputra, Adi Dwifana Saputra]]>;
<![CDATA[Hindarto, Djarot]]>;
<![CDATA[Haryono, Haryono]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11942
<![CDATA[In processing data science, data is needed as input. Sometimes the data needed does not exist in public data, this is where the purpose of this research is made. The acquisition process is so important to process information into data. After that, the data is processed to make a decision. Micro-controller in controlling conditions, such as temperature, and humidity are very common devices, and a lot of research has been done. Sometimes discussing it only shows how to create a series and save it on online platforms, such as firebase, tinger.io, and many others online platforms. So that the process of storing data on an external or online platform is an advantage for platform providers, where platform providers do not need to do business and get data for free. This is without realizing the researchers who have produced a micro-controller device. Many platforms for storing data range from hardware and software devices. Some devices are paid or open source. This research uses software tools that are open source. Because using open source-based tools it will be easy to develop and for further research purposes. The development of the following research by entering code into a micro-controller system or what is called an embedded system. Data is a very valuable asset. Because data is one of the most important components in processing in data science. And it is better to take care of the data logger. This research uses Arduino as a micro-controller and ultrasonic distance sensor and potentiometer]]>
<![CDATA[Comparison of Convolutional Neural Network and Artificial Neural Network for Rice Detection ]]>
<![CDATA[Suherman, Endang]]>;
<![CDATA[Hindarto, Djarot]]>;
<![CDATA[Makmur, Amelia]]>;
<![CDATA[Santoso, Handri]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11944
<![CDATA[Rice is a staple food for people in tropical countries. Indonesia is a country that needs a lot of rice for its people in providing food. This country has implemented various ways to plant rice properly. Many agricultural fields have implemented harvests up to three times a year, due to the role of technology which has helped a lot in agriculture. Planting to harvest already uses advanced technology and tools. A good rice harvest can improve the welfare of the surrounding community. Meanwhile with lots of rice products because many rice plants produce with lots of rice. The type of rice from different regions of origin, the yield of rice is also different from other regions of origin. But with advances in technology, it is possible to plant rice whose types of plants come from other regions. The rice sold to the public varies, so that people who are unfamiliar with the types of rice find it difficult to detect the types of rice. Machine learning is present in detecting various kinds of rice. Machine learning, especially deep learning can make better detection, because one of the deep learning methods works similar to the human brain. In the human brain there are millions or even billions of neurons. This research uses neural networks in experiments using public datasets. Experiments using Artificial Neural Networks achieve an training accuracy of 98.2%, loss: 0.2351. It takes about 10 minutes of training. Testing accuracy reaches accuracy: 96%, loss: 0.6641. By conducting experiments using the Convolution Neural Network, it achieves an accuracy of 99.3% and the training time requires around 18 hours. The purpose of this research is to classify the rice image dataset and detect the rice image.]]>
<![CDATA[Facial Micro Expression Recognition for Feature Point Tracking using Apex Frames on CASME II Database ]]>
<![CDATA[Choirina, Priska]]>;
<![CDATA[Rosiani, Ulla Delfana]]>;
<![CDATA[Fitriani, Indah Martha]]>;
<![CDATA[Baqi, Rijalul]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11946
<![CDATA[Micro-expressions are facial expressions that occur inadvertently to hide true feelings (emotional leaks). Although previous studies used the entire face area and all frames in the video dataset, this resulted in relatively long computation time and data redundancy. The main contribution of this research is to apply recognition micro-expression analysis using a comparison of apex frames with manual (handcrafted) and random sampling of frames and applying feature point tracking to the brow area and corners of the lips. The method for forming feature points in the facial area uses Discriminative Response Map Fitting (DRMF), then facial feature points are tracked using Kanade-Lucas-Tomasi (KLT). This feature point tracking produces motion feature data as feature extraction data. Finally, a comparative analysis of the classification method using the Support Vector Machine (SVM) and MLP-Backpropagation was conducted using the CASME II dataset. The experimental results of this study show significant results with an accuracy of 81.3% on MLP-Backpropagation and an average computing time of 1.45 seconds for each video. From the results of this study, information on the apex phase can contribute information that is very important for facial micro-expression recognition.]]>
<![CDATA[Fake Article Detection Application With Rabin Karp Algorithm ]]>
<![CDATA[Harahap, Mawaddah]]>;
<![CDATA[Marcel, Rico]]>;
<![CDATA[Milatrisna, Dwi Yunita]]>;
<![CDATA[Kuswulandari, Sri]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11949
<![CDATA[Currently, fake (fake) information/articles are increasingly widespread. Surveys show that people receive fakes more than once a day. The most used channel for spreading fakes is social media. The fake phenomenon in Indonesia raises doubts about the information received and confuses the public. Artificial intelligence is an intelligent machine (computer), where a machine is trained in advance (machine learning) to solve certain problems. This artificial intelligence is expected to work faster and more accurately. There are several methods that can be implemented, one of which is using the Rabin-Karp algorithm. Where the reason for choosing the Rabin karp algorithm is that there is a process that can filter existing writing so that it is suitable for the problems discussed, namely article writing and an algorithm that can work at high speed so that users do not need a long time to receive predictive results for articles.]]>
<![CDATA[Sentiment Analysis Od Face To Face School Policy On Twitter Social Media With Support Vector Machine(SVM) ]]>
<![CDATA[Husein, Amir Mahmud]]>;
<![CDATA[Sipahutar, Berninto]]>;
<![CDATA[Dashuah, Ramonda]]>;
<![CDATA[Hutauruk, Eben]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11950
<![CDATA[Twitter social media is one way to get fast information, especially related to face-to-face learning system where during covid-19 pandemic learning is held online. In this case government has informed related to the face-to-face learning system as well as the community or students gave an enthusiastic response to the policies provided by the government including giving a good response to these policies and some of them disagreeing with these policies. In this case, the researcher analyzes public opinion on government policies related to face-to-face learning on Twitter social media using the Support Vector Machine algorithm. By doing an analysis related to government policies regarding learning during the COVID-19 pandemic, the government can find out how the public responds and can make decisions. Based on a series of processes that have been carried out previously using the Support Vector Machine method by applying the TF-IDF weighting function, the results can reach 93%. To see the level of accuracy of the proposed method, the researchers made a comparison by applying several other methods. The accuracy results obtained from the support vector machine method are 93%, based on the accuracy obtained, it can be determined that the level of accuracy using the Support Vector Machine method is quite high in classifying sentiment data, but when compared to other methods, namely nave Bayes, which obtains an accuracy of 94%, Logistic Regression which obtained 93% accuracy, and K-NN which obtained 90% accuracy. Thus, the accuracy results of four methods are not too different.]]>
<![CDATA[Implementation of CV Metha Developing Palembang Goods Ordering System ]]>
<![CDATA[Fatmariani, Fatmariani]]>;
<![CDATA[Putri, Meidyan Permata]]>;
<![CDATA[Apriliani, Marhama]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v8i1.11952
<![CDATA[Abstract CV Metha Berkembang is one of the companies engaged in the production and sale of aluminum sills. The sales process on CV Metha Berkembang has not been computerized where orders are made with consumers coming directly to the company's location or being able to call the company's phone number. An uncomputerized ordering process is needed in a company, where the ordering system does not require consumers to come to the place. For this reason, an ordering information system is needed that can make it easier for CV Metha Berkembang to carry out ordering activities. The system development method used is the prototype method, while for modeling the system used, namely flowcharts, data flow diagrams and entity relationship diagrams and conducting functional testing with blackbox testing. The result of this final project is in the form of a Website Application that aims to help the ordering process. This application is useful for the admin department to be able to confirm orders and input sold stock data. With this application, it can help consumers, leaders, managers, and admins in processing order data, sales stock, and total stock of goods.]]>
