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Arman Harahap
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International Journal Of Science, Technology & Management (IJSTM)
Published by CV. Inara
ISSN : -     EISSN : 27224015     DOI : doi.org/10.46729
Core Subject : Science, Education, Agriculture, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation
International Journal of Science, Technology & Management (IJSTM) is an international scholarly refereed research journal which aims to promote the theory and practice of science, technology, innovation, engineering and management.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 1,077 Documents
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Performance Evaluation of Machine Learning Algorithms in Aspect-Based Sentiment Analysis on E-Commerce User Reviews Maharani Pakpahan, Mira; Halmi Dar, Muhammad; Nirmala Sari Hasibuan, Mila
International Journal of Science, Technology & Management Vol. 6 No. 4 (2025): July 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i4.1255

Abstract

The rapid growth of the e-commerce industry in Indonesia has resulted in a significant surge in the number of user reviews available on various digital platforms. These reviews contain valuable information about customer experiences related to price, product quality, service, delivery, and applications. However, the massive volume of data and its unstructured nature pose challenges in extracting relevant information. Aspect-Based Sentiment Analysis (ABSA) presents an approach that can provide deeper insights by identifying sentiment towards specific aspects within a review, rather than just the overall general sentiment. This study aims to evaluate the performance of several machine learning algorithms, namely Naïve Bayes, Support Vector Machine (SVM), Random Forest, and K-Nearest Neighbors (KNN), in implementing ABSA on e-commerce user reviews in Indonesia. The dataset used consists of 20,000 user reviews of the Shopee and Tokopedia applications obtained through a crawling process on the Google Play Store. The data is processed through several stages: text preprocessing, aspect and sentiment annotation, model training, and performance evaluation using accuracy, precision, recall, and F1-Score metrics. The evaluation results showed differences in performance among the tested algorithms. Naïve Bayes achieved an accuracy of 82.5%, KNN achieved 84.6%, Random Forest 87.1%, while SVM provided the best performance with an accuracy of 89.3% and an F1-Score of 88.3%. This difference in performance indicates that algorithms that are better able to handle high-dimensional text representations, such as SVM, are superior in aspect-based sentiment classification compared to other methods. Thus, this study not only provides a comprehensive overview of the effectiveness of machine learning algorithms in sentiment analysis in the e-commerce sector but also provides a practical basis for developing recommendation systems, improving customer service, and enhancing user experience strategies on digital platforms. This research is expected to serve as a reference in the application of machine learning to support the growth of the e-commerce industry in Indonesia.
The Influence of Occupational Safety, Health, And Security Standards On Increasing The Productivity of High-Rise Building Glass Cleaning Workers Aura Prizi, Jeane; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1350

Abstract

Occupational Safety and Health (OHS) is a crucial element in the modern workplace, particularly in high-rise building cleaning, as effective OHS implementation has been proven to reduce workplace accident rates and simultaneously increase workforce productivity. This study aims to analyze how the implementation of OHS management and VR-AR-based OHS training can affect workplace accident rates and ultimately impact low work productivity due to the high number of falls from height. This study uses a quantitative approach with the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The subjects in this study included employees who had worked for more than 4 months in the field of high-rise building cleaning in the West Jakarta area. To obtain an appropriate number of respondents, the data collection process was carried out through the distribution of online questionnaires using Google Forms. The instrument trial stage was carried out involving 30 respondents for the initial test, while the total data collected during the main questionnaire filing stage amounted to 130 respondents. The results of the study indicate that the Implementation of OHS Requirements, OHS Management, and VR-AR-Based OHS Training have an impact on Workplace Accidents. Meanwhile, the Implementation of K3 Requirements, VR-AR Based K3 Training, and Work Accidents have an impact on Productivity.
Democratizing Network Security Management: How ESP32 Makes Professional Packet Sniffing Accessible Iswara Sanantagraha, Arnastya; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1351

Abstract

This study presents a comprehensive design and implementation of an ESP32-based WiFi packet sniffer system optimized for real-time monitoring and analysis of 802.11 network traffic, adopting a modular architecture that integrates hardware abstraction, packet processing, and user interface layers to ensure scalability, maintainability, and efficient resource utilization while leveraging the ESP32's dual-core processor, integrated WiFi, and advanced memory management strategies to achieve high performance in packet capture, filtering, and storage with low power consumption; key features include support for industry-standard PCAP file formats, microsecond-precision timestamps, and compatibility with MQTT and WebSocket protocols, enabling seamless integration into diverse IoT applications, with the system capable of capturing all supported 802.11 frame types and applying real-time filtering based on MAC addresses, frame types, signal strength, and protocol-specific parameters to reduce storage and processing overhead, while addressing memory limitations through efficient buffer management techniques such as circular buffers and dynamic memory allocation, ensuring adaptability to traffic patterns and resources, with performance evaluations demonstrating its ability to handle high traffic loads with minimal latency and memory overhead, making it suitable for applications like disaster monitoring, factory automation, and environmental sensing, further highlighting the ESP32's versatility through compatibility with solar-powered systems and renewable energy sources for long-term deployment in remote environments, while future work will focus on enhancing energy efficiency and exploring AI-driven analytics for edge computing scenarios, bridging the gap between expensive commercial solutions and accessible educational/research tools to demonstrate practical viability in real-world applications.
The Influence of Influencer Marketing and Online Customer Reviews on Purchase Decisions with Mediator Brand Image Mustajab, Fuad; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1353

Abstract

This study aims to analyze the influence of influencer marketing and online customer reviews on purchase decisions by examining the mediating role of brand image in the context of the TikTok social commerce platform. The novelty of this study lies in the integration of these three variables into a single relationship model on TikTok Shop, which is characterized by video content. This study used a quantitative approach with a purposive sampling method, involving 126 respondents in the Greater Jakarta area who were active users and had made purchases on TikTok Shop. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with SmartPLS software. The results show that influencer marketing and online customer reviews have a positive and significant influence on purchase decisions and brand image. Furthermore, brand image also significantly influences purchase decisions and mediates the relationship between influencer marketing and online customer reviews. These findings indicate that marketing strategies through influencers and customer reviews not only have a direct influence on purchase decisions but also an indirect influence through brand image formation. A strong brand image plays a crucial role in encouraging consumers to make purchase decisions on TikTok Shop.
The Mediating Influence of Relationship Marketing, Customer Satisfaction And Service Quality On Retention Guarantee Recipients In Credit Guarantee Companies Saleh, Rusdi; Ariyanti, Maya
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1354

Abstract

This study aims to examine the effect of market orientation and sales orientation on the retention of guarantee recipients, mediated by relationship marketing, customer satisfaction, and service quality in credit guarantee companies. This study also seeks to determine the extent to which guarantee recipients evaluate these variables and how they are related in shaping retention toward the guarantee services provided. The method used in this study is a quantitative approach with descriptive and causal objectives. The research was conducted using a cross-sectional design through the distribution of questionnaires to credit guarantee recipients. Data were analyzed using Structural Equation Modeling (SEM) to test the relationships between variables. The results indicate that relationship marketing, service quality, and customer satisfaction play a significant role in shaping the retention of guarantee recipients. Specifically, the variables of service quality and customer satisfaction were found to act as mediators that strengthen the relationship between market orientation and sales toward customer retention. The findings of this study provide recommendations for PT Jamkrindo to prioritize strengthening relationship marketing and improving service quality as key strategies in maintaining the loyalty of guarantee recipients. These findings can also serve as a reference for regulators, KUR disbursing banks, and other financial institutions in developing policy frameworks and service synergies oriented toward long-term sustainability.
The Role of Marketing Skills for Local Products and Entrepreneurial Innovation in SME Performance Putri Kencana, Yunita; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1355

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economic development, yet many still face challenges in improving their performance lately in three years. This study aims to analyze the influence of entrepreneurial marketing, innovation capability, and purchase decision on the performance of MSMEs, with a case study on the local bag product brand Jims Honey in the Jabodetabek area. A quantitative approach was used, employing a survey method with 100 MSME respondents. Data were analyzed using SmartPLS 4.0 through Partial Least Squares (PLS) and Structural Equation Modeling (SEM) for testing hypotheses 1 to 4, and multiple linear regression for hypothesis 5. The results show that entrepreneurial marketing and purchase decisions have a positive and significant effect on MSME performance. In contrast, innovation capability has a negative and significant effect. Among the three variables, the purchase decision has the most dominant influence. Simultaneously, all three variables significantly affect MSME performance. The study concludes that MSME success is more strongly influenced by effective marketing strategies and consumer trust, while innovative efforts need to be more aligned with market needs. The findings suggest that MSME owners should refine their promotional strategies, enhance service quality, and implement targeted innovation to achieve improved business performance.
The Effect of Social Influence Mediated Intention to Use on Actual Usage of Mobile Banking Putri Iskandar, Olivia; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1356

Abstract

The increasing use of mobile banking indicates a change in people's behaviour in accessing financial services. However, not all users feel confident or comfortable continuing to use this service due to various personal and environmental considerations. This study aims to analyse the influence of Perceived Ease of Use, Perceived Usefulness, and Social Influence on Intention to Use, as well as the influence of Intention to Use on Actual Usage in the context of using mobile banking applications. This study uses a quantitative approach through a survey method by distributing questionnaires to 192 respondents, namely active users of BNI mobile banking services in the DKI Jakarta area. The analysis in this study was carried out using the SEM-PLS (Structural Equation Modelling - Partial Least Square) approach. From the data analysis, it was found that Perceived Ease of Use had a significant positive effect on Intention to Use, Social Influence had a significant positive effect on Intention to Use, while Perceived Usefulness had no significant effect on Intention to Use. In addition, Intention to Use had a significant positive effect on Actual Usage. This study provides very important implications for the development of bank digital service strategies, especially to increase the adoption of mobile banking among the younger generation.
Work-Life Balance, Organizational Support, And Job Burnout As Determinants of Turnover Intention In Generation Z Sukandar Nur, Haris; Darmi Astuti, Sih; Ikasari, Hertiana
International Journal of Science, Technology & Management Vol. 6 No. 6 (2025): November 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1357

Abstract

This study aims to analyze the influence of work-life balance and organizational support on job burnout and its implications for turnover intention among Generation Z educational staff at Esa Unggul University. This study used a quantitative approach with a survey method of 115 Generation Z respondents. The research instrument was a structured questionnaire that had been tested for validity and reliability. The collected data were analyzed using Structural Equation Modeling (SEM-PLS) using SmartPLS 4 software, which allows for simultaneous testing of causal relationships between variables. The results showed that work-life balance had a significant negative effect on job burnout and turnover intention. This means that the higher the level of work-life balance perceived by employees, the lower the risk of burnout and intention to leave. Furthermore, organizational support has been shown to play a significant role in reducing job burnout levels and reducing the likelihood of resignation. Conversely, job burnout has a significant positive effect on turnover intention, indicating that the higher the level of job exhaustion experienced, the greater the likelihood that employees will plan to leave the organization. Theoretically, this study expands the literature on Generation Z dynamics in the workplace, emphasizing the role of work-life balance and organizational support in influencing turnover intention. Furthermore, the results corroborate previous research findings that confirm a strong relationship between burnout and turnover intention. Practically, this study provides strategic recommendations for university management to strengthen employee wellness policies, develop work flexibility, provide career development programs, and build a supportive organizational culture.
Cultural Heritage-Based Tourism Business Prospects At The Siak Palace, Siak Sri Indrapura Regency Ibrahim, Mariaty; Augustin, Jeneva; Fadli, Mashur
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1359

Abstract

The tourism development strategy is an effort made by the Tourism Office to develop existing tourism to become an attraction for tourists, but the development of tourism at the Siak Palace has not been optimal, resulting in a decline in the number of tourist visits to the Siak Palace in Siak Sri Indrapura Regency. The purpose of this study is to determine the prospects for tourism development at the Tourism Office of Siak Sri Indrapura Regency, and to determine the factors that influence the prospects for developing Siak Palace tourism in Siak Sri Indrapura Regency. In this study, the method used is a qualitative approach that can understand the research in depth with descriptive analysis methods. In this qualitative study, data were obtained from literature studies and also field studies, such as observations, interviews, and documents obtained from related agencies or using other media that can be used as research data. The results obtained from the study are in the first process, the Tourism Office, Siak Regency, has established a vision and mission, namely, by developing tourism destinations. In this case, specifically to develop the Siak Palace tourist attraction. Then analyze the internal and external environment to determine the strengths, weaknesses, opportunities, and threats in the development of the Siak Palace tourist attraction. In this case, the researcher used a SWOT analysis. In addition, the researcher also analyzed the long-term goals of the Tourism Office and how to achieve the mission for the next five years. Then, they examined whether the strategies that had been made were successful or not by looking at the annual targets that had been set by the Tourism Office, Siak Regency. Then, the policies are used to achieve the annual targets. In this case, the policies were in the form of guidelines, rules, and procedures established to support the desired goals. The conclusion is that the Tourism Office, Siak Regency, has carried out the strategic planning process well. Every aspect of the strategic planning has been carried out optimally and also by the established rules. Although the strategic planning that has been made has been running well, the process has still not been able to develop the Siak Palace tourist attraction optimally because it still requires more action than what has been stated in the Tourism Office's project planning, Siak Regency.
Mapping the Knowledge Landscape of Local and Traditional Ecological Knowledge (LEK/TEK) in Mangrove Ecosystems: A Bibliometric Analysis in the Past Decade Sunarto, Sunarto; Mamangkey, Jendri
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1360

Abstract

Local Ecological Knowledge (LEK) and Traditional Ecological Knowledge (TEK) play a crucial role in mangrove ecosystem management, restoration, and community livelihoods. Over the past decade, scholarly interest in this topic has grown, yet research remains scattered across regions and disciplines. This study employed a bibliometric analysis of Scopus-indexed publications from 2014–2024, focusing on LEK/TEK in mangrove ecosystems. A total of 93 open-access articles and conference papers were identified. Results show two major research clusters: (i) ecosystem restoration, conservation, and ecosystem services, and (ii) ethnobotany and medicinal applications of mangrove species. Global publication patterns highlight Indonesia, India, and Bangladesh as leading contributors, while citation impact is distributed across both ecological and ethnobotanical studies. Despite growing attention, gaps remain in cross-regional comparisons, integration of LEK/TEK into policy, and interdisciplinary approaches bridging ecological, cultural, and governance perspectives. The findings provide a comprehensive overview of global scholarship and highlight future directions to strengthen the role of LEK/TEK in sustaining mangrove ecosystems.

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