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All Journal Al-Kharaj: Journal of Islamic Economic and Business Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Yanuardi
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Evaluasi Load Balancing: Studi Komparatif Least-Connection dan Round-Robin dalam Konteks Cloud Computing Ariestiandy, Deny; Suhery, Lilik; Jusmawati; Yanuardi
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6236

Abstract

Teknologi cloud computing membutuhkan metode load balancing yang efisien untuk mendistribusikan beban kerja secara merata ke seluruh node dalam jaringan. Penelitian ini bertujuan untuk menganalisis perbandingan efektivitas antara algoritma load balancing yaitu Round-Robin dan Least-Connection. Pengujian dilakukan melalui beberapa tingkat koneksi yang berbeda, dari 1000/600 hingga 5000/1000 untuk menilai hasil rata-rata response time yang diukur dalam millisecond (ms). Data empiris yang terkumpul mengindikasikan bahwa terjadi peningkatan linear response time sejalan dengan peningkatan jumlah koneksi pada kedua algoritma. Meskipun keduanya menunjukkan kinerja yang hampir serupa pada fase awal, dengan rata-rata response time Round-Robin pada 1000/600 koneksi adalah 2.8 ms, sedangkan Least-Connection mencapai 2.9 ms. Algoritma Least-Connection menunjukkan keunggulan yang konsisten di koneksi yang lebih tinggi. Pada 5000/1000 koneksi, Round-Robin tercatat memiliki response time 3.275 ms, sedangkan Least-Connection memiliki rata-rata response time 3.34 ms, yang mengindikasikan bahwa Least-Connection memiliki skalabilitas yang lebih baik dalam mengelola koneksi bertingkat tinggi. Temuan ini menyarankan bahwa untuk sistem yang mengharapkan jumlah koneksi yang relatif stabil dan dapat diprediksi maka direkomendasikan menggunakan Round-Robin. Namun, untuk sistem dengan beban kerja yang dinamis dan tidak terprediksi, maka Least-Connection memiliki kemampuan yang lebih baik.
Analysis of the Success and Acceptance of ERP SAP Implementation Using an Integrated UTAUT3 and DeLone & McLean (D&M) Model at PT Semen Padang Yanuardi; Pujiani, Vera; Alfitman
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 2 (2026): SettingsVol. 8 No. 1 (2026): All articles in this issue include authors from 3
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i2.10174

Abstract

This study aims to analyze the determinants of User Satisfaction and its influence on Net Benefit in the implementation of SAP ERP at PT Semen Padang. The research model integrates UTAUT3 (Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition) with the DeLone & McLean IS Success Model (Information Quality, System Quality). A quantitative approach was applied using a Likert-scale survey distributed to 251 active SAP users from various job levels, with data analyzed using Structural Equation Modeling (SEM) based on Confirmatory Factor Analysis (CFA) in AMOS. The results indicate that Performance Expectancy (β = 0.256; p < 0.001), Effort Expectancy (β = 0.357; p < 0.001), Facilitating Condition (β = 0.189; p = 0.006), Information Quality (β = 0.262; p < 0.001), and System Quality (β = 0.179; p = 0.009) have a significantly positive effect on User Satisfaction, whereas Social Influence (β = 0.055; p = 0.410) is not significant. Furthermore, User Satisfaction shows a significant positive influence on Net Benefit (β = 0.183; p = 0.020). The structural model demonstrates a good level of model fit across multiple goodness-of-fit indices and model stability based on Hoelter’s Critical N. These findings confirm that expected performance, ease of use, technical support conditions, and both information and system quality are key determinants of User Satisfaction. The practical implications encourage the organization to continuously improve system and information quality, strengthen technical support, and enhance user competency to maximize the value of SAP ERP in supporting operational performance and strategic decision-making at PT Semen Padang.
Co-Authors Alfitman Alfitman Alfitman Alfitman Ariestiandy, Deny Jusmawati Lilik Suhery, Lilik Pujiani, Vera