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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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The Transformative Impact of Innovative Work Behavior on Entrepreneurial Orientation and Organizational Performance Anak Agung Ketut, Sriasih; I Made Hedy , Wartana; I Ketut , Yudana Adi; I Putu Bagus , Suthanaya
International Journal of Science, Technology & Management Vol. 6 No. 2 (2025): March 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1278

Abstract

Innovative work behavior, entrepreneurial orientation, and organizational performance are central to achieving competitive advantage and resilience in dynamic business environments. This study examines how innovative work behavior affects organizational performance within firms. The study also explores the critical role of entrepreneurial orientation as both a direct influence on organizational performance and as a mediator in the relationship between innovative work behavior and organizational performance. This research was conducted on small & medium enterprise in the Province of Bali, Indonesia. Data were collected by 396 questionnaires from managers representing small & medium enterprise as research respondents and analysis was carried out using structural equation modelling. Results indicate that innovative work behavior has a positive impact on organizational performance, though its effect is enhanced significantly when mediated by entrepreneurial orientation. Specifically, the analysis reveals a strong relationship between innovative work behavior and entrepreneurial orientation, demonstrating that organizations fostering innovative behaviors are more likely to develop a proactive and risk-oriented culture. entrepreneurial orientation, in turn, shows a substantial direct positive effect on organizational performance, confirming its role as a critical driver of organizational success. Importantly, the mediation analysis suggests that entrepreneurial orientation partially mediates the relationship between innovative work behavior and organizational performance, channeling innovation efforts toward strategic objectives for optimal performance gains. The study contributes to the fields of innovation and entrepreneurship by elucidating the synergistic relationship between innovative work behavior and entrepreneurial orientation in driving organizational performance. The findings highlight the importance of fostering an entrepreneurial organizational culture that directs individual innovation toward strategic outcomes. This research provides valuable implications for organizational leaders aiming to enhance performance through integrated innovation and entrepreneurship strategies, and it sets the stage for future research exploring additional mediating factors and varied industry applications.
Determinants of Financial Literacy, Digital Literacy and Consumer Confidence Level Mediated by Fintech Literacy on Retail Industry Growth in Indonesia Sapta Rini, Anggarwati; Mukti Soma, Abdul
International Journal of Science, Technology & Management Vol. 6 No. 2 (2025): March 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1280

Abstract

This study evaluates how financial literacy, digital literacy, and consumer confidence influence retail industry growth in Indonesia, emphasizing the mediating role of fintech literacy. In the era of industry 4.0, technology, especially fintech, has transformed conventional financial business models into digital ones, accelerating transactions and financial inclusion. The Covid-19 pandemic has further driven digitalization, although it has posed major challenges for the retail industry. This study aims to determine the actual impact of the development of fintech applications including the influence of financial literacy, digital literacy and consumer confidence levels on the development or growth of retail in Indonesia. This study uses a quantitative method with a focus on analysing the relationship between financial literacy, digital literacy, and consumer confidence levels on the growth of the retail industry, both directly and through fintech literacy mediation. The data used are primary data that include information on financial literacy, digital literacy, consumer confidence levels, fintech literacy, and retail growth. Data collection uses a Likert scale questionnaire with a scale of one to five for each variable. The analysis was carried out using multiple linear regression to identify direct relationships between variables and structural equation modelling (SEM) to comprehensively evaluate the influence of fintech mediation. This study shows that financial literacy has a positive and significant influence on retail growth without fintech literacy mediation. However, it does not have a significant effect on retail growth with fintech literacy mediation. In contrast to digital literacy, where digital literacy has a significant and positive effect on retail growth with fintech literacy mediation. While without fintech literacy, this variable does not have a significant effect on retail growth. The level of consumer confidence has a positive and significant effect on retail growth directly and with fintech literacy mediation.
Analysis of Public Satisfaction Levels Towards Hospital Services Using The K-Nearest Neighbors Method (Case Study: XYZ Regional Public Hospital) Ramadani Sibutar-Butar, Novia; Halmi Dar, Muhammad; Nirmala Sari Hasibuan, Mila
International Journal of Science, Technology & Management Vol. 6 No. 2 (2025): March 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1284

Abstract

The level of public satisfaction with health services is an important indicator that reflects the quality of services provided by a hospital. XYZ Hospital, as one of the main health service providers, strives to continuously improve the quality of its services by understanding and evaluating the level of patient satisfaction. However, challenges arise when it comes to accurately identifying and predicting patient satisfaction, given the diverse characteristics of patients and the complexity of the services provided. Therefore, this study aims to analyze the level of public satisfaction with XYZ Hospital services using the K-Nearest Neighbors method. This study employs a quantitative approach by utilizing patient satisfaction data obtained through a survey. We then analyze the data using the K-Nearest Neighbors method, known for its effectiveness in classifying based on data proximity. We carry out the model performance evaluation process through an evaluation matrix that includes accuracy, precision, recall, and F1-score. The results of the study show that the K-Nearest Neighbors model is able to classify patient satisfaction with an accuracy value of 94%, precision of 97.67%, recall of 95.45%, and F1-Score of 96.55%. These results indicate that the K-Nearest Neighbors model is not only accurate in predicting patient satisfaction but also consistent in classifying patients who are satisfied and dissatisfied. The study's conclusion is that the K-nearest neighbors method is very effective in analyzing and predicting the level of patient satisfaction at XYZ Hospital. This study makes a significant contribution by utilizing the K-Nearest Neighbors model as a potent predictive tool for assessing patient satisfaction, a tool hospitals can employ to enhance service quality. We hope that further development will enable the larger-scale implementation of this model, thereby enhancing the quality of health services across various hospitals.
The Influence of Participative Leadership, Proactive Personality and Knowledge Sharing on Innovation Work Behavior in The Creative Industry Krisanti, Krisanti; Anindita, Anindita
International Journal of Science, Technology & Management Vol. 6 No. 2 (2025): March 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1287

Abstract

The purpose of this research is to explore how Participative Leadership, Knowledge Sharing, and Proactive Personality influence Innovative Work Behavior in employees who are graduates from creative industries in Jakarta. The research was conducted on 154 respondents who met the research criteria, by distributing questionnaires online. The data processing method uses SEM PLS. The research results show that Participative Leadership has an influence on Knowledge Sharing. However, Participative Leadership has no effect on Innovative Work Behavior. Proactive Personality has an influence on Knowledge Sharing, Proactive Personality has an influence on Innovative Work Behavior, and Knowledge Sharing has a role that can influence Innovative Work Behavior in employees.
Analysis of Factors Affecting Profitability Digital Bank In Indonesia Suroto, Ahmad; Rahmayanti, Dewi
International Journal of Science, Technology & Management Vol. 4 No. 5 (2023): September 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1288

Abstract

Rapid technological advances in recent years have encouraged banks to become digital banks, especially after the COVID-19 outbreak which accelerated the use of digital financial services. This study aims to examine the effect of CAR, BOPO, LDR, and bank size on the profitability of digital banks in Indonesia. Profitability is measured through ROA as the dependent variable, CAR, BOPO, LDR, and bank size as independent variables. This study uses quantitative methodology using panel data regression analysis. The research sample consists of 9 digital banks (neobanks) in Indonesia selected with a purposive sampling approach. The sample selection criteria include digital banks (neobanks) that are registered in Indonesia and have disseminated quarterly financial reports from Q1 2022 to Q4 2023 in the financial statements of the Financial Services Authority (OJK). The results show that CAR has a positive and significant effect on ROA, while BOPO has a negative and significant effect on ROA. Furthermore, LDR and bank size show a favorable and sizable impact on ROA.
Effectiveness of Rhizobacteria from Muting District (DMSJ 3) and Semangga District (DSK 3) in Increasing Rice Yield (Oryza Sativa L.) Under Drought Stress Reynara Lapomi, Malvin; Ayu Kade Sutariati, Gusti; Corina Rakian, Tresjia
International Journal of Science, Technology & Management Vol. 6 No. 2 (2025): March 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1289

Abstract

Drought is a climatic phenomenon that can significantly disrupt the growth and reduce the yield of rice plants. Inoculation of rhizobacteria can increase the yield of rice plants under drought stress conditions. The research was conducted at the Agrotechnology Laboratory of Agronomy Unit and Experimental Garden II of Faculty of Agriculture, Halu Oleo University, Kendari from October 2024 to January 2025. The treatments in this study were drought stress and rhizobacterial isolates. Drought stress treatment consisted of control (K0), 25% drought stress (K1), 50% drought stress (K2) and 75% drought stress (K3) while rhizobacterial treatment consisted of control (B0), isolate DMSJ 3 (B1) and isolate DSK 3 (B2). Each treatment was repeated 3 times, the treatment pots were arranged according to a split-plot design consisting of 5 polybags. Observational data were statistically analyzed using analysis of variance at the real level ? 0.05 and will be further tested with DMRT ? 0.05 if it shows a significant effect. The results showed that inoculation of rhizobacterial isolates DMSJ 3 and DSK 3 was able to increase plant yield under drought stress conditions characterized by an increase in the number of productive tillers, flag leaf area, flowering age, total grain per panicle, percentage of filled grain per panicle, 1000 grain weight, grain weight per panicle, yield and drought tolerance index. Isolates DMSJ 3 and DSK 3 have the same ability to increase yield and induce resistance of rice plants to drought stress conditions.
Data Governance Integrative Strategy For Optimizing Poverty Reduction Programs In Garut District Using System Dynamic Modeling Approach Nul Hakim, Silva; Geusan Akbar, Gugun; Ulumudin, Aceng; Kania, Ikeu
International Journal of Science, Technology & Management Vol. 6 No. 2 (2025): March 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i2.1290

Abstract

The issue of overlapping poverty data among government agencies in Garut Regency has led to ineffective policy implementation. This study aims to analyze the factors influencing data governance and design an integrative strategy to optimize poverty programs through a System Dynamics Modeling (SDM) approach. Using a qualitative method, this research develops a stock-flow diagram to capture structural mechanisms in data governance. Data collection was conducted through interviews with key informants, historical data analysis, and a fuzzy scale, then analyzed using Vensim software. The model refers to Abraham's Data Governance Theory, which includes Data Scope (Traditional Data and Big Data), Domain Scope, Antecedents (Internal and External), Structural Mechanisms, Relational Mechanisms, and Procedural Mechanisms. The simulation results show that improving data quality, metadata management, effective communication, and strengthening roles and responsibilities across agencies significantly reduce data discrepancies. Additionally, better decision-making coordination and performance monitoring mechanisms enhance data accuracy. The findings emphasize the importance of integrating data governance strategies through cross-sector collaboration, consistent policy implementation, and a sustainable monitoring system. This integrative approach effectively addresses data overlaps and improves the accuracy and efficiency of poverty alleviation programs, serving as a model for other regions facing similar challenges.
Business Analysis of Pomade Rambutan Leaf Extract with Apple Aroma Anti-Gray Hair and Multipurpose as a Green Economy Alternative Dewi Oryza Sativa, Rima; Widiatmanta, Jeka; Febrianti, Neha; Hendra Kusuma, Agung
International Journal of Science, Technology & Management Vol. 6 No. 3 (2025): May 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i3.1206

Abstract

Blitar is the city with the largest rambutan fruit commodity. The number of plants throughout the district was recorded at approximately 283,437 trees, with a productivity level of 115 kilograms per tree. Rambutan (Nephelium lappaceum) has benefits for the health of the human body in the form of cleansing kidney function, preventing heart disease. Not only in the fruit, rambutan trees also have many benefits in every part. Tjandra's research says that rambutan leaves and skin contain compounds of tannins, polyphenols and saponins that function as a prevention of gray hair. This pomade-shaped hair styling product "HYUNG HAIR" made from rambutan leaf extract has properties including reducing hair loss, nourishing the scalp, slowing the growth of gray hair and can change the color of the pigment in the hair. The activity of making rambutan leaf extract pomade was carried out for four months, starting from Maret 2025 to Mei 2025. Product testing activities and production processes were carried out at Balitar Islamic University, as well as at one of the production houses located in the Bendo Area, Ponggok, Blitar Regency, East Java. The price we offer on "Hyung hair" Pomade is RP. 24,000, -, with the calculation of business feasibility analysis calculated through the R / C Ratio showing the number 1.24. Where the value is more than one which shows the rambutan leaf extract pomade business is feasible to run.
Financial Literacy for Early Childhood at Kindergarten Asri Suwarsi, Aqidah; Noermawati, Julia; Utama, Satria; Robiatun, Fahmia; Anarika, Reza; Santosa Pambudi, Dwi
International Journal of Science, Technology & Management Vol. 6 No. 3 (2025): May 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i3.1208

Abstract

Financial literacy is essential for children in early life in order to manage money effectively. In this study, the findings about early children financial literacy shifted from not literate to less literate after attending financial classes held by Universitas Muhammadiyah Yogyakarta (UMY). Meanwhile, parents of students report varying levels of literacy, ranging from less to sufficient literacy. This study employed an exploratory qualitative research approach. Researchers evaluated the comprehension and practices of preschool children and their parents in money management before and after receiving financial management training. The results are then analyzed and presented in the research report. The study was carried out in Aisyiyah Patosan Kindergarten, Sedayu, which is located in Magelang, Central Java, Indonesia.
Analysis of Trends and Correlation Between Ground-based PM??? and Satellite AOD in Jakarta (Dec 2022–Mar 2025) Abednego Gultom, Marthin; Gultom, Maran
International Journal of Science, Technology & Management Vol. 6 No. 3 (2025): May 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i3.1216

Abstract

Monitoring of PM??? concentrations in urban areas such as Jakarta is crucial given its impact on public health (WHO, 2021) and the urban environment (Zhang et al., 2020), where measuring PM??? levels is essential for assessing air quality and health risks in metropolitan regions, including Jakarta. However, the limited number of ground-based monitoring stations and variable weather conditions often result in uneven PM??? data availability (Alim et al., 2023). As an alternative, satellite-derived Aerosol Optical Depth (AOD) can serve as a proxy for particulate pollution monitoring (Liang et al., 2018).This study aims to analyze the temporal trends and quantify the correlation between ground-based PM??? and satellite AOD in Jakarta from December 2022 through March 2025. PM??? data were obtained from five Air Quality Monitoring Stations (SPKU) located in Kebon Jeruk, Bundaran HI, Kelapa Gading, Lubang Buaya, and Jagakarsa, while AOD was extracted via Google Earth Engine (MODIS MCD19A2) at the same five locations. Key methods include additive seasonal decomposition of each time series, calculation of Pearson and Spearman correlation coefficients, and cross-correlation analysis to determine the optimal lag. The results indicate that both PM??? and AOD trends rose from mid-2023, peaked in early 2024, and then gradually declined through late 2024; monthly correlations were very strong (Pearson r = 0.71, p < 0.001; Spearman ? = 0.76, p < 0.001). Seasonal analysis revealed concentration maxima during the dry season (June–September) and minima in the wet season (December–February). Cross-correlation shows that AOD leads PM??? fluctuations by one month (lag +1). These findings underscore the potential of satellite AOD as a monthly proxy for estimating PM??? in Jakarta, supporting more spatially and temporally comprehensive air quality monitoring than ground-based networks alone. In conclusion, satellite AOD can be used as a supplementary indicator for PM??? air quality monitoring in Jakarta, particularly to fill gaps in ground-based PM??? data coverage.

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