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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Muhammad Edi Iswanto
Politeknik Negeri Indramayu
Computer Science & IT Engineering

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ANALISIS KUALITAS WEBSITE PT.POS INDONESIA MENGUNAKAN PENDEKATAN WEBQUAL 4.0 MENURUT PERSEPSI ONLINE SELLER Apit Priatna; Arif Maulana Yusuf; Ulia Rahma; Vera Wati; Muhammad Edi Iswanto; Joko Irawan
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7713

Abstract

The rapid development of information technology encourages companies to utilize websites as a medium for providing information and services to users effectively and efficiently. PT. Pos Indonesia, as a courier and logistics service company, utilizes its website to provide various digital services such as tariff information, service coverage areas, and shipment tracking. However, several issues related to website quality have been identified based on user experiences. This study aims to analyze the quality of the PT. Pos Indonesia website based on user perceptions, particularly among online sellers in Karawang Regency. The method used in this study is Webqual 4.0, which measures website quality based on three main dimensions: usability, information quality, and service interaction quality. This research employs a quantitative approach with data collection conducted through questionnaires distributed to 100 respondents who are users of the PT. Pos Indonesia website. The data were analyzed using descriptive statistics and the Importance Performance Analysis (IPA) method to determine the level of conformity between the importance and performance of website services. The results show that the average importance score is 4.39, while the average performance score is 3.03, resulting in a gap value of -1.36. The negative gap value indicates that the quality of the PT. Pos Indonesia website has not fully met user expectations. Therefore, improvements are required in several website service attributes in order to enhance digital service quality and user satisfaction.
OPTIMASI HYPERPARAMETER XGBOOST UNTUK KLASIFIKASI INTRUSI MULTI-KELAS BERDASARKAN KINERJA PREDIKTIF DAN EFISIENSI KOMPUTASI Willy Permana Putra; Muhammad Edi Iswanto; Ihsan Doni Irawan; Renol Burjulius; A Sumarudin; Arif Maulana Yusuf
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7870

Abstract

The increasing number of network attacks requires intrusion detection models that are not only accurate but also efficient in terms of execution time, energy use, and carbon emissions. This study evaluates baseline XGBoost and four hyperparameter optimization approaches, namely Tree-structured Parzen Estimator (TPE), Asynchronous Successive Halving Algorithm (ASHA), Hyperband, and Particle Swarm Optimization (PSO), for multi-class intrusion classification on the CICIDS2017 Wednesday-workingHours subset. The evaluation uses predictive metrics, including accuracy, macro recall, macro F1-score, macro precision, and one-vs-rest AUC, as well as computational sustainability metrics consisting of CO2 emissions, energy consumption, execution time, and CPU/RAM/GPU energy details. The results show that XGBoost+TPE achieves the highest predictive performance with an accuracy of 0.9995 and macro F1-score of 0.9959, although its execution time increases to 13.04 seconds. In contrast, XGBoost+Hyperband maintains an accuracy of 0.9994 and macro F1-score of 0.9957 while reducing CO2 emissions by 56.50%, energy consumption by 56.54%, and execution time by 49.60% compared with the baseline. These findings indicate that Hyperband provides the most balanced configuration for intrusion detection scenarios that require high accuracy and computational efficiency.
Co-Authors A Sumarudin Apit Priatna Arif Maulana Yusuf Ihsan Doni Irawan Joko Irawan Renol Burjulius Ulia Rahma Vera Wati Willy Permana Putra