Journal of TECH-E was developed with the aim of accommodating the scientific work of Lecturers and Students, both scientific and research results in the form of library research results. The manuscripts or journal articles published in TECH-E Volume 9 Number 1 features 6 articles contributed by 21 authors from 6 prestigious institutions.


Indonesia: Bina Darma University, Lia University, Buddhi Dharma University, Dian Nuswantoro University, and Pamulang University.

From South Africa: University of Pretoria.

This issue contains research papers in the field of informatics, covering topics such as Bandwidth Management Simulation, Public Trust in Islamic Banking, The Impact of Information Technology Utilization on Vendors, Neural Networks for Classification, Artificial Intelligence of Things (AIoT) in Assistive Technology, The Rapid Application Development (RAD) Method.

DOI: https://doi.org/10.31253/te.v9i1

Published: 2025-08-04

Comparative Simulation of Bandwitdh Management Using Queue Tree and PCQ Techniques

1-14

DOI : https://doi.org/10.31253/te.v9i1.3374
Abstract views: 387 / PDF downloads: 310

Rebuilding Public Trust in Islamic Banking Through the Utilization of Technology: Conceptual Review and Strategies

15-27

DOI : https://doi.org/10.31253/te.v9i1.3231
Abstract views: 428 / PDF downloads: 325

The Impact of Information Technology Utilization on Vendors at Pasar Lama Tangerang

28-37

DOI : https://doi.org/10.31253/te.v9i1.3216
Abstract views: 308 / PDF downloads: 223

Hyperparameter Optimization of Convolutional Neural Network for Classification of Corn Leaf Disease Types using CLAHE

38-53

DOI : https://doi.org/10.31253/te.v9i1.3541
Abstract views: 477 / PDF downloads: 279

Recent Developments in the Artificial Intelligence of Things (AIoT) in Assistive Technology: A Systematic Literature Review (2020–2025)

54-72

DOI : https://doi.org/10.31253/te.v9i1.3834
Abstract views: 731 / PDF downloads: 529

Developing a Web-Based Financial Management Information System for PAUDQU with Rapid Application Development (RAD) Method

73-83

DOI : https://doi.org/10.31253/te.v9i1.3944
Abstract views: 603 / PDF downloads: 327