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Collaboration of Progressive Web App (PWA) And Firebase Cloud Messaging (FCM) for Optimal Performance Mailing Software Dwi Purnomo Putro; Adhika Pramita Widyassari; Dea Salsabilla 
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 2 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i2.126

Abstract

The problem of correspondence cannot be separated from the ease, accuracy and speed of the processing process. In research from Riswandi Ishak and H. Trizaka, they proposed report management software as well as notification of disposition and monitoring of correspondence as a solution to correspondence problems. However, there are shortcomings in the notification process for the disposition of correspondence, which requires the software to be actively open. In research, P. Dwi proposed a notification solution with Firebase Cloud Messaging (FCM), so that it can send notifications as long as the browser is active and connected to the internet, even without opening the software. There is a problem currently when the software becomes unstable when the internet connection is bad or offline. Progressive Web Apps (PWA) offers the concept of web-based application development by implementing browser technology such as service workers and app manifests. PWA is capable of displaying pages offline but cannot save, change, or delete data in the database. The test results of this research used Lighthouse and showed an average score of 100 on the PWA criteria, 85 on the performance criteria, 97 on the accessibility criteria, and 100 on the best practices criteria. Additional results obtained by implementing PWA mean page loading times are 26.6% faster with cache and service workers. The PWA and FCM concepts provide the best experience in using Mailing Software even with minimal internet connection or offline. This strategy was chosen to still get a fast response when running the mail processing software.
Analisis sentimen publik di twitter terhadap pelantikan presiden Prabowo menggunakan algoritma Naïve Bayes Widyassari, Adhika Pramita; Salsabilla, Dea; Amrozi, M. Ali
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.28701

Abstract

Sentiment analysis on social media, especially Twitter, is an effective method to understand public opinion towards political events such as the inauguration of President Prabowo. This study aims to identify the sentiment of the Indonesian people regarding the inauguration of President Prabowo through machine learning-based sentiment analysis using the Multinomial Naïve Bayes algorithm. Data was collected from Twitter with relevant keywords and hashtags, covering the time span before and after the inauguration to capture the dynamics of sentiment changes. The preprocessing process was carried out through text cleaning, removing stop words, tokenization, and stemming to improve model accuracy. The classification results show the distribution of public sentiment, with the majority being neutral (52.63%), followed by positive sentiment (42.98%), and negative (4.39%). The model achieved an accuracy of 75%, showing quite good performance for short text classification. The contribution of this study lies in the application of sentiment analysis to the specific event of the inauguration of the President of Indonesia, with a focus on the critical period before and after the inauguration, which has not been widely studied before. The novelty of this study is the use of real-time Twitter data related to current political events (inauguration of President Prabowo), as well as the emphasis on neutral sentiment which provides a deeper dimension to public understanding. It is hoped that these findings can be the basis for designing more effective public communication strategies on social media.Keywords: naïve bayes, prabowo presidential inauguration, twitter, sentiment analysis
Aplikasi Sistem Pendukung Keputusan Penilaian Kinerja Karyawan untuk Kenaikan Gaji pada PT AAA Widyassari, Adhika Pramita
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 1 No 2 (2017): Vol. 1 No. 2 Agustus 2017
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (520.799 KB) | DOI: 10.29407/intensif.v1i2.836

Abstract

PT AAA is a company engaged in the process of instrumentation and electrical design, procurement and construction of instruments. In an effort to improve employee performance PT AAA provide salary increase to employees who have good performance. In employee salary increases are sometimes not in accordance with the results of its performance. Employee salary increases are often hammered flat, or sometimes pay raise only by ingesting it, without the application of strong calculations. That is why there is an application of decision support system employee performance appraisal for a raise. One of the methods used is using Analitycal Hierarchy Process (AHP) method. This method is chosen because it is able to complete the assessment of employee performance based on predetermined criteria, which will be used as a reference in the raise of the salary itself. The results of the application of decision support system employee performance appraisal for salary increase not only determine who the employees are eligible to get a raise but also determine how much percentage of salary increase each employee.
Sistem Pendukung Keputusan Pemilihan Rumah di Kawasan Cepu Menggunakan Analytical Hierarchy Process Widyassari, Adhika Pramita; Yuwono, Teguh
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 3 No 1 (2019): Vol. 3 No. 1 Februari 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (683.858 KB) | DOI: 10.29407/intensif.v3i1.12442

Abstract

Strategies to buy a house, consumers often experience problems in determining the house to be purchased, because each house has different characteristics. These characteristics will be used as reference considerations in determining which house to buy. In this study, the AHP (Analytical Hierarchy Process) method was used to weight the criteria and test the level of consistency with the pairwise comparison matrix. If the matrix has been consistent, then it can be continued to rank to determine the chosen alternative by using input weighting criteria obtained from the AHP method. To overcome the above problems, it is necessary to build a decision support system by implementing a ranking that can make it easier to determine House Selection using the AHP (Analytical Hierarchy Process) method. Of the 9 sample houses in the Cepu area, the highest was the Housing of Zam Zam Cepu Type 38/78 with a total value of 2,84564719.