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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
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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.
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 α 0.05 and will be further tested with DMRT α 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 PM₂․₅ 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 PM₂․₅ 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 PM₂․₅ 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 PM₂․₅ 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 PM₂․₅ and satellite AOD in Jakarta from December 2022 through March 2025. PM₂․₅ 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 PM₂․₅ 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 ρ = 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 PM₂․₅ fluctuations by one month (lag +1). These findings underscore the potential of satellite AOD as a monthly proxy for estimating PM₂․₅ 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 PM₂․₅ air quality monitoring in Jakarta, particularly to fill gaps in ground-based PM₂․₅ data coverage.
AI Ethics Implementation In Indonesia Hospitals: Challenges Or Opportunities Iswara Sanantagraha, Arnastya; Leslie Hendric Spits Warnars, Harco; Prabowo, Harjanto; Sfenrianto, Sfenrianto; Puspitaloka Mahadewi, Erlina
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.v6i3.1217

Abstract

In the last five years, the technology adoption in Indonesia has begun to use advances in artificial intelligence (AI) ethics to improve healthcare services. This change has had a significant impact on several institutions, especially the hospital industry. This paper provides an overview of hospital institutions in Indonesia that are implementing AI ethics. AI ethics comprehensive review of 54 papers from the Scopus, PubMed and Google Scholar database was used to develop our methodology. The existing literatures, which includes studies from various disciplines such as education, healthcare, information communication technology (ICT), licensing, law, hospitality, and economic services, demonstrated the widespread implementation of AI in these fields. We have found potentiality benefit of AI implementation in Indonesian hospital which focusing on increasing patient outcomes and also equalizing of healthcare service. This output can be done with find out the strategy to maximizing its benefit and paralely to decrease and minimizing the rise of ethic risk. This review concludes that AI implementation in Indonesian Hospital come with significantly opportunity for increasing patient healthcare outcome and equality of healthcare services. We provide a new view for organizing governance research, that identifies gaps in the existing literature speciality in healthcare and suggests future directions, for research utilizing technology in AI ethics.
Development Of Interactive Learning Applications Based On Artificial Intelligence To Improve Early Childhood Literacy Skills At RA Darussalam 009 Purwandari, Nuraini; Nasution, Taruna
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.v6i3.1218

Abstract

Early childhood literacy skills are an important foundation in children's cognitive and academic development in the future. However, in RA Darussalam 009 it was found that conventional learning methods are still not optimal in stimulating children's interest and understanding of letters and words. This research aims to develop an interactive learning application based on artificial intelligence (AI) to improve early childhood literacy skills. The research method used is Research and Development (R&D) with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model. The application is designed with voice recognition, image recognition, and automatic response features using simple Natural Language Processing (NLP) that are adjusted to the child's age. Testing was conducted on 25 children aged 4–6 years. The results of the research showed that the use of this application provided a significant increase in the ability to recognize letters, read simple words, and participate actively in the learning process. The results of this research indicate that AI technology can be effectively adapted in early childhood education environments to support fun, interactive, and adaptive learning to children's needs.
Factors That Influence Women's Interest In Working In The Formal - Non-Formal Sector In Mataram City Zahra, Mila; Fadliyanti, Luluk; Dzul Fadli, Muhammad
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.v6i3.1246

Abstract

This study aims to determine the factors that influence women's interest in working in the formal-non-formal sector in the city of Mataram. This study examines the influence of education, working hours, age, marital status, family status, and health insurance on women's choice of work sector. The formal sector is characterized by legal employment relationships, legal protection, and social security, while the non-formal sector is more flexible but has minimal protection. This study uses an associative quantitative approach. Funds were obtained from the 2023 National Labor Force Survey (Sakernas) with 740 respondents. Data analysis was carried out using logistic regression. The results of the study show that the variables of age, marital status, working hours, education, family status, and health insurance have a significant influence on women's decisions to work, with health insurance being the most dominant factor. These findings emphasize the need for policies that support access to education, social protection, and strengthening the formal sector to increase women's participation and welfare in the world of work.
The Influence Of Digital Transformation Culture On Collection Unit Performance Through Digital Technology (Case Study : Non-Bank Financial Institutions) Cahyo Dananto, Dinar; Djunita Pasaribu, Rina
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.v6i3.1252

Abstract

This study analyzes the influence of digital transformation culture on organizational performance in the non-bank financial industry, focusing on the collection division as the executor of the collection process. Digitalization demands changes in organizational culture in order to optimize the value of digital technology in supporting business operations. This study aims to analyze the influence of digital transformation culture on the performance of collection organizations, test the influence of digital transformation culture on increasing the value of digital technology, evaluate the influence of digital technology value on collection organization performance, and test the mediating role of digital technology value in the relationship between digital transformation culture and organizational performance. A quantitative approach with a causal method is used in this study, with data collected through a survey of non-bank financial institution employees and analyzed using Structural Equation Modeling (SEM) with Partial Least Squares (PLS) software. The results of the study indicate that digital transformation culture has a positive effect on collection organization performance and digital technology value. In addition, increasing the value of digital technology also contributes to improving organizational performance, and plays a significant role in mediating the influence of digital transformation culture on organizational performance. Academically, this study enriches the literature on digitalization in operational management, while practically, the results of the study can be a reference for non-bank financial institutions in adopting a digital culture to improve operational effectiveness and organizational performance.

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