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All Journal Journal of Research in Social Science and Humanities Jurnal Komputer Indonesia Jurnal Komputer Innovative Business Management Journal Jurnal Ekonomi Islam, Akuntansi, dan Manajemen Jurnal Pengabdian Mandiri
Tarigan, Heskyel Pranata
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Design And Implementation Of Adversarial Neural Network For Voice Data Processing Tarigan, Heskyel Pranata
Jurnal Komputer Indonesia Vol. 2 No. 1 (2023): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i1.562

Abstract

In today's digital age, voice data processing has become an important area in information and communication technology. Adversarial Neural Networks (GANs) are one of the recent methods that show great potential in improving the quality and efficiency of voice data processing. This article discusses the design and implementation of GANs for speech data processing, focusing on model architecture, optimization techniques, and performance evaluation. The results show that GANs can produce better speech representations and improve processing quality compared to traditional methods. It also explores the challenges faced in the implementation of GANs and provides recommendations for future development.
Development Of Machine Learning Algorithms For Fraud Detection In Digital Transactions Tarigan, Heskyel Pranata
Jurnal Komputer Indonesia Vol. 3 No. 1 (2024): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v3i1.571

Abstract

This article discusses the development of machine learning algorithms to detect fraud in digital transactions. With the increasing use of online transactions, fraud detection becomes crucial to maintain security. The proposed algorithm uses deep learning techniques to identify anomalous patterns in transaction data. The results show that the algorithm is able to improve the accuracy of fraud detection compared to conventional methods.
The Influence Of Service Features, Perceived Convenience And Financial Literacy In The Decision To Use Ovo E-Wallet On Generation Z Of Bengkulu City Tarigan, Heskyel Pranata; Susena, Karona Cahya; Abi, Yudi Irawan
Journal of Research in Social Science and Humanities Vol 4, No 2 (2024)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.200

Abstract

The purpose of this study was to determine the effect of service features, perceived ease and financial literacy on the decision to use the OVO E-Wallet in Bengkulu City. This study is a type of quantitative research. The population used in this study were OVO E-Wallet users in Bengkulu City. This study used incidental sampling techniques or non-probability sampling, so that a research sample of 100 respondents was obtained from Generation Z in Bengkulu City. The collection of respondent data was distributed via Google Form.The results of the multiple linear regression analysis are the equation Y = 1.566 + 0.621 X1 + 0.253 X2 + 0.212 X3 +e, this illustrates a positive regression direction, meaning that the service feature variables (X1), perceived ease (X2) and financial literacy (X3) have a positive influence on the decision to use (Y) in Generation Z in Bengkulu City.From the results of the calculation using SPSS version 25.0, the coefficient of determination of R square can be seen as 0.842. This means that the value of service features (X1), perceived ease (X2) and financial literacy (X3) influence the decision to use (Y) by 84.2% while the remaining 15.8% is influenced by other variables not examined in this study. The results of the t-test at a significance level 0.05 explain that partially service features (X1), perceived ease (X2) and financial literacy (X3) have a significant influence on the decision to use (Y) in Generation Z of Bengkulu City. The results of the f-test are smaller than 0.000, so the variables of service features (X1), perceived ease (X2) and financial literacy (X3) have a significant influence on the decision to use (Y) in Generation Z of Bengkulu City.
Organisational Culture Transformation at Bengkulu Company: 2024 Trends in Improving Employee Engagement Saputri, Vettyca Diana; Susena, Karona Cahya; Tarigan, Heskyel Pranata
Innovative Business Management Journal Vol. 1 No. 1 (2024): Oktober
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/ibm.v1i1.74

Abstract

This research highlights the importance of organisational culture transformation in companies in Bengkulu in the face of 2024 management challenges and trends. An adaptive and effective organisational culture is the foundation for an inclusive and productive work environment. This article focuses on several important trends, such as work flexibility, employee mental and physical well-being, and the application of diversity and inclusion (DEI) principles. Cultural transformation is not only a response to external changes, but also a strategy to increase employee engagement, i.e. a sense of involvement and ownership of the company. By creating a supportive work environment, companies in Bengkulu can increase employee loyalty and minimise turnover. In addition, an organisational culture that is aligned with new trends is predicted to make it easier for companies to attract the best talent amidst the increasingly fierce labour market competition.This article also proposes some concrete strategies that can be implemented by companies in Bengkulu, such as implementing hybrid working models, improving wellness programmes, and ensuring that diversity policies are consistent. These recommendations are expected to help companies transform more sustainably. With the adoption of the right strategies, this cultural transformation will be an important factor in improving employee engagement while ensuring business continuity in an era of dynamic change
Hybrid Learning Approach For Intrusion Detection In Network Security Using Ensemble Methods Tarigan, Heskyel Pranata
Jurnal Komputer Vol 2 No 2 (2024): Januari-Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v2i2.100

Abstract

The increasing frequency and sophistication of cyberattacks have led to a pressing need for advanced network security systems, particularly Intrusion Detection Systems (IDS). While traditional IDS models provide a baseline of protection, they often fall short in detecting novel and complex threats. This research proposes a hybrid learning approach for IDS, leveraging the strengths of ensemble machine learning methods such as Random Forest, Gradient Boosting, and Voting Classifier. The proposed system aims to enhance detection accuracy and reduce false positives by combining multiple classifiers into a cohesive model. Using the NSL-KDD dataset, the model was trained and tested, showing superior performance compared to individual learning algorithms. This paper discusses the design, implementation, and performance evaluation of the hybrid IDS model.
Integrasi Chatbot Berbasis NLP pada Sistem Layanan Akademik Universitas Tarigan, Heskyel Pranata
Jurnal Komputer Vol 3 No 1 (2024): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v3i1.110

Abstract

The advancement of digital technology has driven transformation in the delivery of information services in higher education institutions. One innovation that is being increasingly adopted is the use of Natural Language Processing (NLP)-based chatbots in academic service systems. This chatbot enables natural conversation-based interactions between users and systems, facilitating students in accessing information quickly and efficiently. This paper discusses the basic concepts, benefits, system architecture, and challenges faced in integrating NLP-based chatbots into academic service systems. By adopting this approach, universities can enhance service quality, reduce administrative burdens, and promote the digitalization of academic processes in a comprehensive manner.
Increasing Sales Based On The Grab Platform At Pak Novi's Madura Satay MSMEs Tarigan, Heskyel Pranata; Saputri , Vettyca Diana; Habibullah , Wahyu; Putra , Iswidana Utama
Jurnal Pengabdian Mandiri Vol. 1 No. 1 (2024): June
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/mandiri.v1i1.467

Abstract

This study aims to determine the increase in sales based on the grab platform at Pak Novi's Madura Satay UMKM. According to lion rimbun in andreas (2010: 38) the definition of quantitative methodology is a procedure that produces descriptive data in the form of research data or oral from people and observable behavior. This research includes descriptive qualitative using primary and secondary data sources, while the data collection techniques used are through in-depth interviews, observation and documentation. The marketing strategy uses a direct face-to-face or word-of-mouth system, so businesses should use social media to market their products.
The Effect Of Stock Investment Management On Economic Growth In Indonesia Sucipto, Ahmad; Tarigan, Heskyel Pranata
Jurnal Ekonomi Islam, Akuntansi, dan Manajemen Vol. 1 No. 4 (2025): Agustus
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jeiam.v1i4.350

Abstract

Investment management is the art and science of managing financial assets to generate optimal returns, while still considering risks and financial goals. The effect of stock investment management on economic growth in Indonesia, with a focus on the role of digital stock investment applications in increasing domestic investor participation and its impact on the national economy. This study uses a qualitative descriptive approach with secondary data from reports from the Financial Services Authority (OJK), the Central Statistics Agency (BPS), and the Indonesia Stock Exchange (IDX). The results of the study show that the volume of stock transactions on the Indonesia Stock Exchange has increased significantly from 2019 to 2021, with an average daily transaction volume reaching 424,704 million shares in 2021. The number of domestic investors has also increased, with an average total assets of IDR 140.29 trillion in 2021. This increase was driven by education and literacy programs provided by securities companies digital investment applications. Effective stock investment management through digital platforms contributes to an increase in the number of investors, which in turn increases stock transactions and has a positive impact on the Indonesian economy.
Co-Authors Abi, Yudi Irawan Habibullah , Wahyu Karona Cahya Susena, Karona Cahya Putra , Iswidana Utama Saputri , Vettyca Diana Saputri, Vettyca Diana Sucipto, Ahmad