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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 974 Documents
 94   95   96   97   98 
The Effect Of Electronic Word Of Mouth (E-WOM) On Tiktok Application Towards Purchase Intention Mediated By The Variables Of Information Quality, Information Quantity, Information Credibility, And Brand Image On Skintific Products Veronita, Rika; Ariyanti, Maya; Taufik Hidayah, Riski
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.v6i4.1343

Abstract

The rapid growth of internet users has opened up huge opportunities for businesses to reach a wider market online, which will have an impact on the use of social media and other digital services. The phenomenon of social media has transformed conventional marketing methods, giving rise to digital marketing. With the shift from traditional word-of-mouth (WOM) to electronic word-of-mouth (eWOM), TikTok has emerged as the dominant social media platform in Indonesia, with 107.69 million users. This study aims to investigate the influence of eWOM from the TikTok platform on purchase intention for Skintific. To understand the influence of eWOM, this study will apply the Information Adoption Model (IAM), a model widely used in previous eWOM studies. This study will use a quantitative approach with a sample of 400 respondents. Data collection will be conducted using a questionnaire and analyzed using Structural Equation Modeling (SEM) with the SmartPLS 4.0.9.9 application. The results of the study indicate that respondents' evaluations of the eWOM variables, brand image, and purchase intention regarding Skintific products on TikTok fall into the good category. In this study, it was found that Information Quality, Information Credibility, Information Usefulness, Information Adoption, and Brand Image have a positive and significant effect on Purchase Intention. Specific indirect effects on Purchase Intention were also found to have a positive and significant influence. However, it was also found that Information Quantity does not have a positive and significant influence on Purchase Intention. These results highlight that Skintific needs to consistently maintain the quality of the information communicated, ensure the quantity of information provided, and uphold the credibility of information through reliable reference sources. Additionally, building a positive brand image is crucial in maintaining consumer purchase intention.
The Influence of Workload and Physical Work Environment on employee's work productivity with Employee Engagement as an Intervening Variable (Case Study at PT PLN (Persero) UPT Cirebon) Nur Arifyanto, Aziz; Indiyati , Dian
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.v6i4.1344

Abstract

PT PLN (Persero) Unit Pelaksana Transmisi Cirebon is a PLN Unit tasked with maintaining the operational reliability of High Voltage and Extra High Voltage electrical equipment in the West Java region. The company has an duty to transmit 100% of the power produced from power plants to customers. The situation observed over the last five assessment periods reveals that the number of the employee’s work productivity has been highly fluctuating. Employee’s work productivity is influenced by several factors, one of which is employee engagement. The 2023 Employee Engagement survey results indicate that Work Engagement has reached 88.93% of the 88% target. However, certain dimensions have not met the target, namely the Work Conditions dimension (85.84%), which includes two factors: workload and physical work environment. The workforce at PT PLN (Persero) UPT Cirebon is still understaffed (96.8%), leading to frequent and prolonged overtime work. The Physical Work Environment at PLN UPT Cirebon is also not entirely satisfactory due to malfunctioning work facilities and equipment. This research aims to determine the influence of Workload and Physical Work Environment on Employee Engagement and its implications for Employee’s Work Productivity at PT PLN (Persero) Unit Pelaksana Transmisi Cirebon. This study employs a quantitative method with a descriptive research type. The research respondents consist of 219 employees of PT PLN (Persero) UPT Cirebon, utilizing non-probability sampling with saturated sampling. The processed data will be analyzed using descriptive analysis techniques with SEM-PLS. This research hypothesizes that Workload and Physical Work Environment simultaneously have a significant influence on Employee Productivity through Employee Engagement as an intervening variable at PLN UPT Cirebon. The research results indicate that the Physical Work Environment has a positive and significant influence on both Employee Engagement and Employee’s Work Productivity. Similarly, Employee Engagement was found to have a positive and significant influence on Employee’s Work Productivity. However, Workload did not show a significant influence on either Employee Engagement or Employee’s Work Productivity, whether directly or through the intervening variable. A coefficient of determination value of 0.631 indicates that 63.1% of employee productivity is explained by these three variables, while the remainder is influenced by other factors. This research has limitations in its scope of the variables considered. Therefore, further research is recommended to explore other variables such as leadership style, work-life balance, organizational culture, or to conduct qualitative studies to gain a deeper understanding of the phenomena.
Entrepreneurial And Market Orientation As A Strategy To Build Competitive Advantage And Marketing Performance Of Smes In Indonesia Kasmirudin, Kasmiruddin; Heriyanto, Meyzi; Othman, Lie; Ruzikna, Ruzikna; Suryalena, Suryalena
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.v6i4.1345

Abstract

The aim of the research is to analyze whether entrepreneurial orientation and market orientation as strategies for building competitive advantage have a positive effect on the marketing performance of Bukit Batu-Bengkalis Small and Medium Enterprises (SMEs). The research method used is the explanatory type, intended to test the research hypothesis. All Bukit Batu Small and Medium Enterprise entrepreneurs were used as the research population, and 36 SMEs were selected as research samples using purposive sampling techniques. The data analysis technique uses Partial Least Squares (PLS). The results of the study indicate that entrepreneurial orientation does not have a direct effect on marketing performance. In contrast, market orientation has a direct positive effect on marketing performance. In addition, competitive advantage also has a direct positive effect on marketing performance. Furthermore, entrepreneurial orientation has a positive effect on marketing performance through the mediation role of competitive advantage, while market orientation also has a positive effect on marketing performance through competitive advantage. The research results prove that entrepreneurial orientation and market orientation as strategies for building competitive advantage have a positive effect on the marketing performance of Bukit Batu-Bengkalis SMEs. It is recommended for Small and Medium Enterprise entrepreneurs to implement entrepreneurial and market-oriented behavior as a company strategy to build competitive advantage, in order to improve the marketing performance of SMEs.
The Influence of Self-Control and Financial Attitude on the Financial Management Behavior of Shopee Paylater Users Oetama, Seanewati; Susanto, Hari; Alejandra Kristiono, Kezia
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.v6i4.1348

Abstract

This study is entitled "The Effect of Self-Control and Financial Attitude on the Financial Management Behavior of Shopee PayLater Users". This study aims to analyze the influence of Self-Control and Financial Attitude on the Financial Management Behavior of Shopee PayLater Users. Financial management behavior is a serious matter among young people, because they grow up amidst a lack of attention to their financial condition and debt that is very easy to obtain through the use of existing financial facilities. Self-Control and Financial Attitude are two factors that are thought to be able to influence Financial Management Behavior. This study uses a quantitative method with primary and secondary data obtained from research objects and data sources obtained through intermediary media. The sample in this study took 60 students of the Sampit College of Economics (STIE) who use Shopee PayLater. The data analysis technique used is multiple linear regression analysis to test the research hypothesis. The results of the study show that the results of the t-test (partial) indicate that Self-Control influences the Financial Management Behavior of Shopee PayLater users. This is evidenced by the value of >, namely 4.995 > 2.000324 with a significance level of 0.001 < 0.05. Financial Attitude influences the Financial Management Behavior of Shopee PayLater users. This is evidenced by the value of 3.425 > 2.000324 with a significance level of 0.001 < 0.05. The F test (simultaneous) shows that Self Control and Financial Attitude influence the Financial Management Behavior of Shopee PayLater users. This is evidenced by the value of 63.299 > 3.16 with a significance level of 0.000 < 0.05. These findings provide implications for Shopee PayLater users in understanding the factors that can influence financial management behavior before making decisions to use the services offered..
Analysis Of Aedes Aegypti Larvae Population Density, Kasturian Village, South Ternate, Ternate City, Indonesia Tomia, Amalan; Tomia, Sumiati
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.v6i4.1349

Abstract

Introduction. This study aims to determine the level of population density of Aedes aegypti mosquito larvae as an effort to control dengue fever in Kasturian Village. Ternate City. Method. The sample of this study was larvae taken from 100 houses in Kasturian Village, North Ternate District, Ternate City that have containers both inside and outside the house. The data obtained were analyzed for larval index using the House Index (HI), Container Index (CI), and Breteau Index (BI) formulas. The relationship between habitat characteristics and population density of Aedes sp mosquito larvae was analyzed using the SPSS program.Results And Discussion . The survey results found that the characteristics of the Ae. aegypti mosquito larvae habitat consisted (TPA )container types including bathtubs, toilet tubs, drums, jugs, ablution water, cergen and buckets, and non containers including used cans (non0TPA), used tires, used glasses or bottles, flower vases, aquariums, dispenser containers, washbasins, gutters, and used drums. The type of container that is predominantly positive for larvae is the TPA container type, dark in color, found in the house and does not use a cover. The results of the analysis of the density index of Ae. aegypti mosquito larvae are in the moderate category for CI and BI, while HI is in the high category. Conclusion. This can be explained that Kasturian Village has the potential for dengue virus infection (DBD) which needs to be watched out for
An Analysis Of The Acceptance Of The Mytens Application As A Government Service Platform By Internal Users Across All Telkom Regional Offices In Indonesia: An Intention To Use Study Based On The Utaut2 Model Athilayusa, Avania; Apsari Sugiat, Maria
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.v6i4.1352

Abstract

Digital transformation has become a key agenda in enhancing industrial competitiveness in Indonesia, as reflected in the Making Indonesia 4.0 roadmap. PT Telkom Indonesia supports this agenda through the launch of the MyTEnS application, designed to assist in operational management within the company, particularly in the Telkom Regional environment across Indonesia. Although it has been implemented, the adoption of this technology still faces challenges, especially in terms of system quality perception and user trust in the application. This study aims to analyze the factors influencing behavioral intention in the use of the MyTEnS application by internal users, specifically Account Managers and Manager Governmenet Services in TREG Nasional. The study adopts a quantitative approach with a modified Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The independent variables analyzed include performance expectancy, effort expectancy, social influence, facilitating conditions, price value, habit, and trust. Additionally, two moderating variables, age and gender, were added to examine the influence of the main variables on the intention to use. Data were collected through a survey of 384 MyTEnS users across TREG Indonesia, and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS v3.2.9 software. The results show that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, and trust positively and significantly influence behavioral intention to use the MyTEnS application. Additionally, moderating factors such as age and gender were found to moderate the relationship between several construct variables and behavioral intention. The findings of this study are expected to contribute theoretically to the field of technology adoption and provide practical recommendations for PT Telkom Indonesia in enhancing the adoption and internal use of digital applications, with a focus on improving ease of use, user trust, and better technical support.
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.

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