Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi BIMASAKTI
Ainia Walidaroyani
Universitas PGRI Kanjuruhan Malang
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Dynamic Rendering untuk Optimasi Efisiensi Server dan Indeksabilitas Pada Single Page Application Niko Achmad; Moh Ahsan; Ainia Walidaroyani
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp25-34

Abstract

The development of a Client Side Rendering (CSR)-based Single Page Application (SPA) has search engine indexability weaknesses, while Server Side Rendering (SSR) overloads server computation. This study aims to prove the efficiency of the Dynamic Rendering architecture as a middle-ground solution. Through Nginx configuration, the server detects the User-Agent to serve static pages (CSR) to human users and fully rendered pages (SSR) to bot crawlers. Experimental testing was conducted on a Virtual Private Server (VPS) using k6 with a constant load of 100 Virtual Users, Prometheus, and Grafana, as well as Document Object Model (DOM) validation via Google Search Console. The Mann-Whitney U Test results proved a significant performance difference with a p-value < 0.05. The implementation of Dynamic Rendering is highly efficient, capable of reducing CPU Utilization by 92.28% and Memory Usage by 5.14%, and increasing Request Per Second (RPS) capacity by 17.19%. Indexability validation also confirmed that crawlers successfully received the HTML document entirely. In conclusion, Dynamic Rendering is proven to be an effective architectural solution to minimize server load while ensuring optimal content visibility on search engines.
PENERAPAN ALGORITMA C4.5 PADA ULASAN APLIKASI SHOPEE DI GOOGLE PLAY STORE Indra Fitri Andriasih; Alexius Endy Budianto; Ainia Walidaroyani
Jurnal Fakultas Teknologi Informasi Vol 8 No 2 (2026): BIMASAKTI
Publisher : Prodi Teknik Informatika, Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/bimasakti.v8i2.12763

Abstract

Shopee, as one of the most popular e-commerce platforms in Indonesia, receives numerous user reviews on the Google Play Store. These reviews contain valuable information that can be leveraged to evaluate the quality of the application’s services. This study aims to classify user sentiment using the C4.5 algorithm to assist developers in better understanding user perceptions. The data were collected from the Google Play Store and processed through several stages, including preprocessing (case folding, stopword removal, stemming, word normalization, and sentiment labeling), data transformation using the TF-IDF method, and splitting the dataset into training and testing sets. The C4.5 algorithm was implemented using the DecisionTreeClassifier model with entropy as the criterion. The results indicate that the classification model achieved an accuracy of 83.25% on the test data. The model demonstrated strong performance in classifying positive sentiment, while the classification of negative and neutral sentiments was less optimal due to class imbalance. Therefore, the C4.5 algorithm proves to be effective in classifying user review sentiment, particularly in identifying positive sentiment. These findings can serve as valuable input for Shopee's developers to improve their services based on user feedback.
Co-Authors Budianto, Alexius Endy Indra Fitri Andriasih Mohammad Ahsan Niko Achmad