Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Herianto
Darma Persada University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

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Improving Teacher Competence in Utilizing Google Workspace for Digital Learning Endang Ayu Susilawati; Eka Yuni Astuti; Didik Sugianto; Herry  Susanto; Gita Pramesti; Herianto; Andi Susilo
JEPTIRA Vol 3 No 1 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.96

Abstract

This community service initiative was designed to enhance teachers competencies in utilizing Google Workspace tools specifically Google Drive, Google Slides, and Google Forms to support the integration of digital learning. Conducted through an in-person workshop on February 11, 2025, the training targeted high school and vocational school teachers in the Bekasi region. The session emphasized mastery of essential features, including cloud-based file management, creation of engaging presentations, and the development of online surveys and assessments. The outcomes revealed that participants showed a significant improvement in their ability to operate these digital tools and expressed a strong intention to integrate them into their teaching practices. Overall, this activity contributed meaningfully to the advancement of digital transformation in secondary education settings.
Deteksi Serangan Brute Force SSH Menggunakan Klasifikasi Naïve Bayes pada Log Cowrie Honeypot di Lingkungan Virtual Arya Adhari Prasetyo; Herianto; Yahya; Nur Syamsiyah
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.88

Abstract

The increasing number of brute force cyberattacks targeting SSH services highlights the urgent need for effective early detection and mitigation systems. This study aims to analyze brute force attack patterns using the Naïve Bayes classification algorithm based on log data generated by the Cowrie Honeypot. A simulated virtual environment was developed to emulate attack scenarios and generate authentic SSH log data while preserving real server confidentiality. The system architecture follows the CRISP-DM framework, including data preprocessing, model development, evaluation, and deployment. Evaluation using confusion matrix metrics showed that the Naïve Bayes algorithm successfully distinguished brute force attempts from normal traffic with high accuracy, precision, recall, and F1-score. The findings confirm the potential of combining Cowrie honeypot data with machine learning classifiers as an early warning tool for intrusion detection in enterprise network infrastructures.
Digitalization of The Transaction Management and Financial Reporting System at D'jakarta Barbershop Nabillah Indah Tsuraya; Zahra Khanza Aurilia; Fajar Ilhami Indo Syaputra; Aji Setiawan; Herianto
JEPTIRA Vol 4 No 1 (2026): Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/rz2fb380

Abstract

Barbershop D'Jakarta is a hair care business that requires integrated transaction and financial management to ensure efficient business operations. This study aims to design and develop a web-based financial and operational management information system using the Laravel 11 framework with a MySQL database. The system was developed using the Waterfall method and is divided into two user roles: Owner and Admin. Key features include a home screen (START), authentication, an adaptive dashboard, account and employee management, products/services, customers, two-step transactions with JPEG payment proof upload, expenses, monthly targets, statistics along with employee rankings, and automatically numbered PDF financial reports. The interface is built with custom, responsive CSS and supports both light and dark modes. Black-box testing results show that all features function as required with a 100% success rate. This system has proven to replace manual record-keeping, improve data accuracy, and make it easier for owners to monitor business performance in real time.
Co-Authors Aji Setiawan Andi Susilo Arya Adhari Prasetyo Didik Sugianto Eka Yuni Astuti Endang Ayu Susilawati Fajar Ilhami Indo Syaputra Gita Pramesti Herry  Susanto Nabillah Indah Tsuraya Nur Syamsiyah Yahya Zahra Khanza Aurilia