Information systems on mobile devices are a combination of software and hardware on devices that have high mobility to facilitate users in storing, receiving, processing, and distributing data to other users. One form of application designed by Dinas Komunikasi dan Informatika (Diskominfo of Jambi City) in information technology-based innovation to realize the Jambi and IOS-based Jambi Smart City called Sistem Informasi Kota Jambi (SIKOJA) which can be downloaded since 30 July 2019. To guarantee that the application SIKOJA is in accordance with the needs of users both by the Jambi city government and the people of the city of Jambi, it is necessary to evaluate the Usability level so provided content aligned with user expectations. The absence of the process of measuring the usefulness of the SIKOJA application until now has encouraged the author to evaluate the Usability level of the SIKOJA application using the System Usability Scale (SUS) method. Based on the evaluation of the Usability level of 109 peoples (49.331%) from 221 respondents who filled out the questionnaire and had used SIKOJA application, the average SUS value score was 65.459 from a maximum scale of 100, it can it was concluded that the SIKOJA application was in the "Marginal High" Range, with a "D" Rank, and an "OK" Rating. With quite a number of respondents who have never used the application of 112 people (50.679%), it is necessary to have more intensive socialization to the people of Jambi City by Diskominfo of Jambi City about the existence and benefits of the application. From observations also found that the information in the Jambi City News column provided by the SIKOJA application was regularly updated.
Measurement of facial similarity or checking similarity is done using features. The algorithm for describing the most up-to-date and best face features for generating features is Deep Convolutional Neural Network (DCNNs). Based on this, this study uses MTCNN (Multi-task Cascaded Convolutional Neural Network) as one variation of the DCNN method. In this research, we built a research system to test results with javascript. Given the many needs that are based on mobile or can be run on a smartphone. One of them is to support the absent feature that is used in a mobile manner such as the reporting system of sales and marketing performance or members of the police personnel who normally work on a mobile basis. From the results of the tests carried out automatically using several variation models testing the image of the Aberdeen dataset as many as 60 images from 30 different people used in the face recognition research system using MTCNN with influencing image parameters such as lighting variations, object position variations, then the position taken and expression face on the object image, the research system managed to do face recognition by 100%. Thus, true positive values are equal to the amount of data tested and zero negative true values.
PEXI (Persatuan XiangQi Indonesia) Pengprov Jambi merupakan sebuah organisasi persatuan bagi atlet XiangQi khususnya di Provinsi Jambi. Saat ini sistem pertandingan XiangQi di Jambi sudah menggunakan aplikasi manajeman turnamen namun hanya terbatas pada Sistem Pertandingan Swiss. Sehingga jika turnamen diselenggarakan dengan sistem lainnya, yaitu Knockout dan Round Robin, pengelolaannya masih menggunakan metode manual dalam penentuan pairing pertandingan dan perhitungan poin peserta. Karena perhitungan poin masih dilakukan secara manual maka sering terjadi kesalahan dalam perhitungan poin peserta dan sering terjadi kecurangan dalam penentuan pairing pertandingan. Selain itu, interface sistem aplikasi yang telah ada perlu dikembangkan agar lebih user-friendly. Oleh karena itu, kita membutuhkan pengembangan sistem aplikasi dengan fitur sistem pertandingan yang lebih lengkap dan lebih user-friendly untuk digunakan.
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