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All Journal Jurnal Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) IPSIKOM
samsul makin
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Analisis Performa website Unipem menggunakan GTMetrix dan Google PageSpeed Insight Muhammad Arif Kurniawan; Samsul makin
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 11, No 1 (2023): JUNI
Publisher : Universitas Insan Pembangunan Indonesia

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Abstract

The development of Information Technology (IT) has had a positive impact, especially in the context of businesses. One of the outcomes of IT development that has facilitated information dissemination is websites. websites play a crucial role in educational institutions for information dissemination and communication. Therefore, the quality of website services becomes a top priority in improving the quality of information delivery services in universities. This research aims to evaluate the performance of the Universitas Insan Pembangunan website, focusing on two pages: unipem.ac.id and pmb.unipem.ac.id. performance testing was conducted using the web applications GTMetrix and Google PageSpeed Insight. The testing results provide information about page loading speed, performance scores, and issues affecting website performance. The results show that the pmb.unipem.ac.id page performs better than the unipem.ac.id page. The pmb.unipem.ac.id page achieved a grade B score with a performance score of 80% and Structure score of 81%, while the unipem.ac.id page received a grade C score with a performance score of 79% and Structure score of 65%. Testing with Google PageSpeed Insight also yielded higher performance scores for the pmb.unipem.ac.id page. Several issues were identified during the testing, including large file sizes, render-blocking resources, and the need for Content Delivery Network (CDN) usage. Recommendations for improvements were provided based on the testing results to enhance website performance, such as avoiding large network payloads, optimizing image sizes, using efficient cache policies, eliminating render-blocking resources, and considering CDN usage.
Analisis Performa website Unipem menggunakan GTMetrix dan Google PageSpeed Insight Muhammad Arif Kurniawan; Samsul makin
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 11, No 1 (2023): JUNI 2023
Publisher : Universitas Insan Pembangunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of Information Technology (IT) has had a positive impact, especially in the context of businesses. One of the outcomes of IT development that has facilitated information dissemination is websites. websites play a crucial role in educational institutions for information dissemination and communication. Therefore, the quality of website services becomes a top priority in improving the quality of information delivery services in universities. This research aims to evaluate the performance of the Universitas Insan Pembangunan website, focusing on two pages: unipem.ac.id and pmb.unipem.ac.id. performance testing was conducted using the web applications GTMetrix and Google PageSpeed Insight. The testing results provide information about page loading speed, performance scores, and issues affecting website performance. The results show that the pmb.unipem.ac.id page performs better than the unipem.ac.id page. The pmb.unipem.ac.id page achieved a grade B score with a performance score of 80% and Structure score of 81%, while the unipem.ac.id page received a grade C score with a performance score of 79% and Structure score of 65%. Testing with Google PageSpeed Insight also yielded higher performance scores for the pmb.unipem.ac.id page. Several issues were identified during the testing, including large file sizes, render-blocking resources, and the need for Content Delivery Network (CDN) usage. Recommendations for improvements were provided based on the testing results to enhance website performance, such as avoiding large network payloads, optimizing image sizes, using efficient cache policies, eliminating render-blocking resources, and considering CDN usage.
Analisis Sentimen AFC U23 Asian Cup 2024 menggunakan Algoritma Naïve Bayes muhammad arif kurniawan; Angger Styo Yuniarti; samsul makin
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 12, No 1 (2024): Juni 2024
Publisher : Universitas Insan Pembangunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v12i1.275

Abstract

The AFC U-23 Asian Cup is a very important football tournament watched by millions of fans across Asia and the world. Sentiment analysis of these events can provide insight into how the public feels and opinions towards the matches, teams and players, which can be very beneficial for organizers, sponsors and the media. This research uses the Naïve Bayes algorithm to group words from the Twitter application with the aim ofprovide a significant contribution to the understanding of public perception and fan involvement in major sporting events such as the AFC U-23 Asian Cup 2024. The results of this research withusing the Naïve Bayes algorithm to analyze public opinion regarding the 2024 AFC U-23 Asian Cup gave an accuracy value of 78%. These results show that the Naïve Bayes model has quite good performance in carrying out sentiment analysis. Keywords: AFC U-23 Asian Cup 2024, Sentimen, Naïve Bayes, Twitter
Co-Authors Angger Styo Yuniarti Muhammad Arif Kurniawan muhammad arif kurniawan