Indonesian people have electronic citizen card called e-KTP. e-KTP is NFC based technology embedded inside Indonesian citizenship identity card. e-KTP technology has never been used until now since it was launch officially by the government. This research proposes an independent framework for bridging the gap between Indonesia regulation for e-KTP and commercial use in the many commercial or organization sector. The Framework proposes interoperability framework using novel combination component, there are e-KTP reader, Middleware and Web Service. KAFA (e-KTP Middleware and Framework) implementing Internet of Things (IoT) concept to make it as open standard and independent. The framework use federation mode or decentralized data for interoperability, to make sure not breaking the law of privacy. Extended development of AES-CBC cipher algorithm was used to encrypt the data on the transport between middleware and web service.
SVARA is the first Social Media audio application in Indonesia developed by PT. Zamrud Teknologi Khatulistiwa. At present, this application does not have feature settings to display content and other basic settings on the user's side. This situation results in users not having the role to manage the appearance of the dashboard according to their preferences. Settings are done entirely by administrators using scripts and must take APIs with regular PHP scripts. And this is very troublesome. So to give a role to the view of user management, the application needs to be made a dashboard setting feature as a follow-up. Through this paper, the researchers propose designing this dashboard feature using the User-Centered Design (UCD) method. The design results show that this method has a positive correlation with user involvement support in the application development process.
Abstrak Bobot kriteria yang sangat penting dan berpengaruh pada hasil pengambilan keputusan perlu dicari metode untuk menentukan bobot yang tepat dalam menentukan kriteria. Pada penelitian ini dilakukan studi komparasi antara metode Entropy dan ROC untuk mencari metode dalam pembobotan kriteria yang sesuai untuk pengambilan keputusan. Pada penelitian ini dilakukan uji sensitivitas dan nilai efektif pada kriteria yang dijadikan parameter pembanding antara metode entropy dan ROC. Hasil dari penelitian ini uji sensitivitas untuk metode ROC mendapatkan nilai sebesar 2,98752381 Sedangkan entropy 1,406581327 dan untuk uji nilai efektif pada metode ROC semua kriteria efektif sedangkan metode entropy dua kriteria efektif dan tiga kriteria tidak efetif. Berdasarkan hasil tersebut metode ROC lebih baik dalam menentukan bobot kriteria untuk pengambilan keputusan. Abstract The weight of the criterion which is very important and has an effect on the results of decision making, it is necessary to find a method to determine the appropriate weight in determining the criteria. In this study, a comparative study was carried out between the Entropy and ROC methods to find a method of weighting the appropriate criteria for decision making. In this study, the sensitivity and effective value of the criteria were tested as parameters of comparison. The results of the sensitivity test for the ROC method obtained a value of 2.98752381 while the entropy was 1.406581327 and for the effective value test on the ROC method, all criteria were effective while the entropy method was effective with two criteria and three criteria were ineffective. Based on these results the ROC method is better at determining the weight of the criteria for decision makers.
e-KTP is an Indonesian Identity Card based on Near Field Communicator technology. This technology was embedded in every e-KTP card for every Indonesian citizen. Until this research, e-KTP technology never to be utilized by any stack-holder neither government agencies nor nongovernment organization or company. e-KTP Technology inside the card never been used and go with conventional with manual copy it with photocopy machine or take a photograph with it. This research was proposing an open standard to utilized e-KTP Technology. The open standard will bring e-KTP technology used as is and used broadly in many government agencies or much commercial company. This research was proposing decentralized network model especially for storing e-KTP data without breaking privacy law. Besides providing high specs of the server, a decentralized model can reduce the cost of server infrastructure. The model was proposing using Distributed Hast Table which was used for peer-to-peer networks. The decentralized model promised high availability and the more secure way to save and access the data. The result of this model can be implemented in many network topology or infrastructure also applicable to implement on Small Medium Enterprise Company.
Abstract. Load Test on Microservice implementing CQRS and Event Sourcing. In developing an application, determining the architecture is a very important job. This research implements microservice architecture with CQRS pattern and event sourcing on OpenAPI, API-driven and event-driven integration between services. Applying the right architecture can make the performance of the application faster. There are two test activities that are useful to find out the difference in the frequency of requests for APIdriven and event-driven that can affect response time, error rate and throughput, as well as analyze which architecture has better performance. The test is carried out using a load test technique using the JMeter tool. This study proves that microservices with CQRS and Event Sourcing patterns have 3.7% faster performance compared to API-driven, and communication between services has no effect on error rate and throughput. Keywords: microservice, load test, CQRS, event sourcing, software architecture Abstrak. Dalam pengembangan sebuah aplikasi, penentuan arsitektur merupakan pekerjaan yang sangat penting. Penelitian ini mengimplementasikan arsitektur microservice dengan pola CQRS dan event sourcing pada OpenAPI, integrasi antar service berbasis API-driven dan event-driven. Penerapan arsitektur yang tepat dapat membuat performansi dari aplikasi menjadi lebih cepat. Terdapat dua aktivitas pengujian yang berguna untuk mengetahui perbedaan frekuensi request pada API-driven dan eventdriven yang dapat mempengaruhi response time, error rate dan juga throughput, serta menganalisis arsitektur mana yang memiliki performa yang lebih baik. Pengujian dilakukan dengan teknik load test yang menggunuakan tool JMeter. Penelitian ini membuktikan bahwa microservice dengan pola CQRS dan Event Sourcing memiliki performansi lebih cepat 3,7% dibandingkan dengan API-driven, serta komunikasi antar service tidak berpengaruh pada error rate dan throughput.Kata Kunci: microservice, load Test, CQRS, event sourcing, software arsitektur
Abstract. Identifying influential people as a node in a graph theory commonly calculated by social network analysis. The social network data has the user as node and edge as relation forming a friend relation graph. This research is conducting different meaning of every nodes relation in the social network. Ontology was perfect match science to describe the social network data as conceptual and domain. Ontology gives essential relationship in a social network more than a current graph. Ontology proposed as a standard for knowledge representation for the semantic web by World Wide Web Consortium. The formal data representation use Resource Description Framework (RDF) and Web Ontology Language (OWL) which is strategic for Open Knowledge-Based website data. Ontology used in the semantic description for a relationship in the social network, it is open to developing semantic based relationship ontology by adding and modifying various and different relationship to have influential people as a conclusion. This research proposes a model using OWL and RDF for influential people identification in the social network. The study use degree centrality, betweenness centrality, and closeness centrality measurement for data validation. As a conclusion, influential people identification in Facebook can use proposed Ontology model in the Group, Photos, Photo Tag, Friends, Events and Works data.
The availability of a lot of existing Standard Operating Procedures (SOP) document information, users often need time to find SOPs that fit their preference. Therefore, this requires a recommendation system based on user content consumption by personalized usage logs to support the establishment of SOP documents managed according to user preferences. The k-nearest neighbor (KNN) algorithm is used to identify the most relevant SOP document for the user by utilizing implicit feedback based on extraction data by monitoring the document search behavior. From the research results obtained 5 classifications as parameters, with a final value of 3:2 ratio that shows the best distance value with the majority of labels according to the concept of calculation KNN algorithm that sees from the nearest neighbor in the dataset. This shows the precision of applying the KNN algorithm in determining SOP documents according to user preferences based on implicit feedback resulting in 80% presentation for SOPs corresponding to profiles and 20% for SOPs that do not fit the user profile. To establish SOP documents to show more accurate results, it should be used in a broad SOP management system and utilize implicit feedback with parameters not only in search logs and more on performance evaluation evaluations.
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