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All Journal Simtek : Jurnal Sistem Informasi dan Teknik Komputer JURNAL ILMIAH INFOKOM RISTEC : Research in Information Systems and Technology
Candra Dewi Lestari
Sekolah Tinggi Teknologi Wastukancana
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Design Of Data Acquisition And Electrical Equipment Controller Systems In Classroom Arduino Mega And NodeMCU ESP8266 Based Minarto Minarto; Imay Kurniawan; Candra Dewi Lestari; Lise Sri Andar Muni
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3164

Abstract

The method of class preparation in tertiary institutions especially in Purwakarta Regency still uses conventional methods. At Purwakarta Wastukancana College of Technology, conventional  class preparation activities have a problems. An electricequipment being turned on too early and also the possibility of a delay in turning it off, this could result in the use of inefficient electrical equipment and also an effect on electricity costs.The authors conducted research with the aim of designing and building a system that functions to acquire and control electrical devices in the form of lamps and air conditioners in desktop-based classrooms with the method of developing Pressman waterfall 2010, designing models using a unified modeling language (UML) ) namely use case diagrams, activity diagrams, sequence diagrams, and class diagrams. Built using the PHP programming language and Visual Basic.Net, for databases using MySQL, and testing applications using black-box testing, for hardware implementation, the authors use Arduino Mega, Nodemcu ESP8266.With the creation of a data acquisition system and control of classroom arduino mega and nodemcu esp8266 electrical devices for the Purwakarta Wastukancana College of Technology will advance the means for regulating the use of electricity, thereby increasing electricity efficiency. Furthermore, it can provide cost efficiency in electricity payments. Keywords: Data acquisition, monitoring system, application, Waterfall, Arduino mega, Nodemcu ESP8266, MySQL.
ANALISIS SENTIMEN PENGGUNA APLIKASI JAMSOSTEK MOBILE (JMO) PADA APPSTORE MENGGUNAKAN METODE NAIVE BAYES Karin Kusuma Dewi; Ismi Kaniawulan; Candra Dewi Lestari
Simtek : jurnal sistem informasi dan teknik komputer Vol. 8 No. 2 (2023): Oktober 2023
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v8i2.286

Abstract

The use of Jamsostek Mobile has problems that often occur, namely failure to update data on the JMO application, digital cards that do not appear on the JMO application, data update failures and access failures. To overcome this, BPJS participants are faced with BPJS branches or companies. This is an obstacle that should be overcome through optimizing regulations from the BPJS so that there are no complaints from the public regarding this matter. Jamsostek Mobile is an application implemented by BPJS Ketenagakerjaan to make it easier for users to carry out JHT simulations, check JHT balances, check details for JHT contributions and pension benefits, and make JHT claims. This application can be accessed on the App Store and Playstore. The implementation of the application turned out to generate several comments or reviews from users both in the App Store and Play Store. This study aims to analyze sentiment from user reviews on the App Store with the stages of Scraping, Labeling, Cleaning, Preprocessing Text, Class Naive Bayes, TF-IDF, Evaluation, Visualization using Google Collaboratory tools From the results of research on the sentiment analysis of users of the Jamsostek Mobile application on the AppStore platform, which totaled 2001 data and had passed the preprocessing text stage consisting of filtering, tokenization, transformation and classification using the Naïve Bayes algorithm and evaluation of data with a confusion matrix using Google Collaboratory, it can be interpreted that the results from reviews of the use of negative JMO applications with a proportion of 96% in accuracy (accuracy), 96% in value precision, and a success rate (recall) of 100%. This value indicates that the naïve Bayes classification algorithm is considered quite good in processing review data, because the proportion of accuracy is 96%. Based on this value, it proves that the sentiment or reviews of JMO application users on the App Store platform are negative. Keywords: Sentimen Analysis, Naive Bayes, App Store, Jamsostek Mobile, Google Collaboratory
PERANCANGAN ULANG UI/UX DESIGN APLIKASI IDENTITAS KEPENDUDUKAN DIGITAL MENGGUNAKAN METODE USER CENTERED DESIGN (UCD) Tendy Ilhamudin Firdaus; Meriska Defriani; Candra Dewi Lestari
INFOKOM (Informatika & Komputer) Vol 11 No 2 (2023): JURNAL INFOKOM DESEMBER 2023
Publisher : POLITEKNIK PIKSI GANESHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56689/infokom.v11i2.1058

Abstract

Digital ID or Digital Population Identity is an important innovation by the Directorate General of Civil Registration of the Ministry of Home Affairs in Indonesia to digitize population documents and provide easy access to Indonesian citizens through their mobile phones. Although the Digital Population Identity application has gained significant popularity with a rating of 3.4 on the Play Store and thousands of user reviews, observations from user feedback have revealed several challenges that hinder users from utilizing the application according to their needs. The initial evaluation using the System Usability Scale (SUS) method indicates the need for improvements in the interface of the Digital Population Identity application, despite receiving a "Good" rating with a score of 54.13. In this study, the User-Centered Design (UCD) method was employed to redesign the UI/UX of the application, considering user needs and experiences. The results of the UI/UX design using the UCD method successfully addressed the identified issues. The addition of features such as login functionality, QR code verification via email, automatic face verification, document download, and a redesign of the application's interface significantly improved the final evaluation score to 76.5 with an "Excellent" rating. This indicates that the implemented enhancements have successfully improved the application's interface and better meet user needs.
Co-Authors Imay Kurniawan Ismi Kaniawulan, Ismi Karin Kusuma Dewi Lise Sri Andar Muni Meriska Defriani Minarto Minarto Tendy Ilhamudin Firdaus