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Aji Setiawan
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Journal Technology Information and Data Analytic
Published by Universitas Darma Persada
ISSN : -     EISSN : 30640660     DOI : https://doi.org/10.70491/tifda.v1i2.43
Core Subject : Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Other
Journal of Technology Information and Data Analytic is a scientific journal managed by the Faculty of Engineering, Darma Persada University. TIFDA is an open access journal that provides free access to the full text of all published articles without charging access fees from readers or their institutions. Readers are entitled to read, download, copy, distribute, print, search, or link to the full text of all articles in the TIFDA Journal. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Focus & Scope Informatics: Software Engineering, Information Technology, Information System, Data Mining, Multimedia, Mobile Programming, Artificial Intelligence, Computer Graphic, Computer Vision, Augmented/Virtual Reality, Games Programming, Privacy and Data Security, Security, Machine learning, Database Internet of Things Information System : Software Management, Life Cycle Development Tools.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 28 Documents
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Perancangan Aplikasi Absensi dan Pengawasan Ruangan dengan Pengenalan Wajah menggunakan metode Convolutional Neural Network Nurpadilah, Rizki; Setiyaningsih, Timor
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.81

Abstract

The development of technology in the field of facial recognition provides a great opportunity to improve efficiency and security in various aspects, one of which is the attendance and room surveillance system. This study aims to design an attendance and room surveillance application based on facial recognition using the Convolutional Neural Network (CNN) method in a private company engaged in the property sector. This application is designed to simplify the employee attendance process and improve room surveillance by automatically recognizing employee faces, thereby reducing the risk of attendance fraud and ensuring more accurate attendance. The CNN method was chosen because of its ability to process images and recognize facial patterns with high accuracy. This system consists of several main features, namely employee face registration, automatic face-based attendance, and monitoring employee presence in the office space. The test results show that this application is able to identify faces with a good level of accuracy, as well as provide convenience and comfort for users.
Perbandingan Algoritma Decision Tree dan K-Means Clustering Untuk Menentukan Penghargaan Terhadap Loyaltas Customer Mahardika, Bagus Tri; Prastowo, Donnie Varyasetya
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.82

Abstract

PT Tangguh Buana Roda Indonesia has difficulty in retaining loyal customers due to less than optimal customer management. This research proposes the use of a data mining-based system to categorize loyal customers using the K-Means and Decision Tree methods. The evaluation shows that the combination of K-Means and Decision Tree algorithms provides a higher average accuracy of 93.7175%. Compared to using Decision Tree alone which reached 92.8525% and K-Means which was only 91.667%. With the combination of these two algorithms, it is expected to support the awarding of loyal customers and strengthen the relationship between customers and companies. The system that has been created is web-based which will facilitate strategic planning to increase customer loyalty.
Pengembangan Sistem Informasi Lowongan Kerja di Career Center Universitas Darma Persada Yahya, Yahya; Susilawati, Endang Ayu; Novianti, Eva; Rahmadanti
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.83

Abstract

Career centers play a vital role in bridging the gap between higher education and the workforce by helping students and alumni access job opportunities and develop relevant skills. At Universitas Darma Persada, the career center faced challenges in disseminating job vacancy information efficiently due to time constraints and limited distribution methods, primarily via Instagram. This study aims to design and develop a web-based job vacancy information system to improve accessibility and communication between job seekers and employers.The uniqueness of this research lies in the development of a role-based job portal system that integrates multiple user roles, namely job seekers (students and alumni), career staff, and employers, into a single digital platform. The objective is to accelerate job vacancy publication, facilitate job applications, and streamline employer access to candidate data.This study adopts the Waterfall methodology, including stages of requirement analysis, system design, implementation, and testing. Data were collected through observation, interviews, and literature review. The final system was developed using Visual Studio Code, PHP, MySQL, and other web development tools.The results show that the system successfully reduces delays in job vacancy announcements, expands reach beyond Instagram, and provides a more structured and interactive recruitment process. Employers can post jobs and review CVs, while job seekers can apply directly and track their application status. The system has proven effective in enhancing the career center’s role in graduate employability support.
Pengembangan Sistem Informasi Penyewaan Billboard di PT Tecma Mitratama Advertindo Susilawati, Endang Ayu; Novianti, Eva; Ichsan, Sultan Satrio
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.84

Abstract

The billboard rental process at PT Tecma Mitratama Advertindo currently encounters issues, particularly in calculating rental prices for periods outside the predefined options of one, three, six, and twelve months. When customers request rental durations beyond these standard periods, prices must be calculated manually using a calculator, resulting in delays in issuing rental offer letters. This study aims to develop a billboard rental information system integrated with the marketing division's workflow. The system is expected to streamline the rental process and enable real-time monitoring of billboard rental status. The system development process includes requirements analysis, system design, and web-based interface implementation. The results indicate that the developed system can reduce reliance on manual processes and enhance the efficiency of the marketing division’s operations.
Implementasi Natural Language Processing (NLP) dalam Pengembangan Aplikasi Chatbot untuk Pembelajaran Teks Islam Klasik di Pesantren El-Huda El-Islamy Sofyan, Yan; Arroyan, Alwi Fachri Ibnu
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.85

Abstract

El-Huda El-Islamy Islamic Boarding School is an Islamic educational institution that aims to mould students into competent and noble religious preachers. This institution focuses on learning and deep understanding of Islamic teachings, including the study of classical books such as the Yellow Book of Fathul Qorib. This research aims to develop and evaluate an Android-based chatbot application that uses the BERT model to help the learning process of the Yellow Book of Fathul Qorib at El-Huda Islamic Boarding School. In this research, the BERT model is integrated into the chatbot application to understand and respond to user questions appropriately. Testing was done by asking 25 questions to the chatbot, which successfully answered 11 questions with a success rate of 44%. Evaluation of the model performance using confusion matrix showed that the chatbot had 90% accuracy, 87% precision, 87% recall, and 86% F1-score. These results show that the chatbot has not been able to provide relevant and accurate responses, and recognise most of the questions asked. This research concludes that this chatbot application is not yet an effective tool to support the learning process at El-Huda Islamic Boarding School
Perancangan Sistem Pemantauan Kualitas Air Berbasis IoT pada Kolam Ikan Hias Air Tawar Paturusi, Shania Bakhtiar; Susilo, Andi
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.86

Abstract

This study focuses on designing an IoT-enabled monitoring system to enhance water quality management in freshwater ornamental fish ponds, with an emphasis on tracking temperature, pH, and total dissolved solids (TDS). Utilizing an ESP32 microcontroller along with DS18B20, pH, and TDS sensors, the system collects and transmits real-time water quality data via the Blynk platform. The findings demonstrate that the system effectively monitors temperature, pH, and TDS levels, initiating corrective actions like activating a water heater or solenoid valve when needed. By automating these processes, the system minimizes the need for manual checks, improves resource efficiency, and supports optimal guppy fish farming conditions.
P Perancangan Sistem Absensi Digital dan Monitoring Kehadiran dan Lembur di PT. TRIKARSA BAHTERA ABADI Darmawan, Dimas Bagus; Septiadi, Robby; Saputra, Rendy Wijaya; Haryono, Wasis
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.87

Abstract

Manual attendance systems that are still used in many construction companies often face obstacles such as data manipulation, late recapitulation, and the absence of real-time worker location validation. This study aims to design and implement a web-based digital attendance system with GPS validation and photo documentation to improve the efficiency and accuracy of recording project worker attendance and overtime. The system was developed using the Waterfall approach which includes needs analysis, system design, code implementation, testing, and maintenance. The implementation results show that the system can record attendance and overtime accurately, and facilitate monitoring by project admins through an interactive dashboard. The system also provides separate user roles such as admin, finance, SEM, owner, and workers, each of which has access to relevant features. With this system, the process of monitoring and decision-making related to attendance management becomes faster, more transparent, and more integrated.
Deteksi Serangan Brute Force SSH Menggunakan Klasifikasi Naïve Bayes pada Log Cowrie Honeypot di Lingkungan Virtual Prasetyo, Arya Adhari; Herianto; Yahya; Syamsiyah, Nur
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
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.

Page 3 of 3 | Total Record : 28

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