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Formosa Journal of Science and Technology (FJST)
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 29646804     DOI : https://doi.org/10.55927/fjst.v1i2
Core Subject : Humanities, Science, Education, Social, Engineering,
Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences
Formosa Journal of Science and Technology (FJST) is an open-access scientific journal that publishing full-length research papers and review articles covering subjects that fall under the wide spectrum of science and technology. FJST journal is dedicated towards dissemination of knowledge related to the advancement in science and technology. The prestigious interdisciplinary editorial board reflects the diversity of subjects covered in this journal. Under the realm of science and technology, the coverage includes environmental science, pure and applied mathematics, agricultural research and engineering, biology, biotechnology, bioinformatics, management science, business and economics, Healthcare sciences (including clinical medicine, preventive medicine & public health), physics, biophysics, computer science, chemistry and bioengineering, to name a few. Formosa Journal of Science and Technology is published by Formosa Publisher. The journal now brings out monthly publications. It supports the open access policy for making scientific research accessible to one and all.
Arjuna Subject : Umum - Umum
Articles 13 Documents
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Search results for , issue "Vol. 3 No. 10 (2024): October 2024" : 13 Documents clear
Intelligence in Photovoltaic Fault Identification and Diagnosis: A Systematic Review Mahjabeen, Farhana
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11552

Abstract

Undetected photovoltaic system faults can lead to significant energy losses, often exceeding 10%, necessitating efficient fault detection and diagnosis. Artificial intelligence, particularly machine learning and deep learning, offers promising solutions for real-time, high-volume fault detection and complex pattern recognition in PV systems. This research analyzes various PV fault detection studies, examining their objectives, methods, results, and the prevalence of ML/DL approaches. The analysis highlights the application of both classical ML algorithms, such as K-Nearest Neighbors and Random Forest, and advanced DL models, including Convolutional Neural Networks, for PV fault diagnosis.
Analysis of Hazardous and Toxic Waste Management (B3) from the Perspective of Safety, Health, Productivity and Waste Minimization at PT X Munfarida, Arifati; Hadiyanto, Hadiyanto; Yulianto, Bambang
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11625

Abstract

The management of Hazardous and Toxic Waste (B3) must be carried out by waste producers. PT X as a producer of B3 waste in its production process uses palm oil raw materials and other auxiliary materials. Producers carry out management in accordance with applicable regulations. Waste management can be seen from the perspective of safety, health, productivity and waste minimization. The purpose of this study is to analyze the management of B3 Waste from the perspective of safety, health, productivity and minimization. Data was obtained from surveys and interviews. Analysis method used in statistics. The results of the study showed that 97% strongly agreed with safety, 93% health, 99% productivity and 96% waste initiation.
The Influence of the Implementation of Public Sector Accounting Models in Fraud Prevention Efforts in the Digital Era Nur, Hamzah Fansyuri; Haliah, Haliah; Kusumawati, Andi
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11654

Abstract

This research aims to find and describe the characteristics of fraud that occurs in the public sector in the digital era to prevent fraud that occurs in the public sector. The research conducted is literature research sourced from articles that are in accordance with the research topic for further analysis. The results of the study show that the characteristics of fraud in the public sector that occur in the digital era include the use of misconceptions about the role of digital technology in the implementation of public accountant duties. The influence of the implementation of public sector accounting can prevent fraud in the public sector in the digital era if implemented by considering several factors that affect fraud, such as performance accountability, and implementing technical strategies, dual-paradigm approaches, and preventive strategies.
Characteristics and Analysis of Factors Affecting the Performance of Service Providers (Contractors) in Denpasar City in 2023 Ariana, I Komang Agus; Wirawan, Ni Putu Mirah Sukmadewi Putri; Kumara, I Nyoman Indra; Nuraga, I Ketut
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11684

Abstract

Contractors are individuals or business entities that have expertise in carrying out construction work in accordance with planning, where the appointment of contractors is mostly carried out through a tender/auction system (Sholeh, 2020). Nowadays, contractors are a business that is in great demand by the public, but the development of the quantity of construction service companies has not been followed by an increase in qualifications and performance. One of the reasons is that the business and expertise requirements (SKK) are still not met, which will later affect business reliability and competitiveness. (Priana, 2018). Seeing this situation, it is very important to research the characteristics and factors that affect the performance of service providers (contractors) in the city of Denpasar in 2023. The method used in this study is descriptive statistics as well as factor analysis is used to explain the factors that affect contractor performance. From the research that has been carried out, 1). Contractors in the city of Denpasar have good human resources, experience, finance, and equipment and are in accordance with Law No. 11 of 2020 concerning Job Creation and LPJK No. 3 of 2017 concerning Certification and Registration of Construction Implementation Services Business. 2). The most influential factor on contractor performance is in group I with a total diversity value of 32.756%.
Determination of Cross-Border Post Points Based on Geospatial Intelligence for Territorial Defense of the Unitary State of the Republic of Indonesia: Literature Review Rifai, Bachtiar; Poniman, Aris; Gultom, Rudy Agus Gumilang
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11685

Abstract

The location of cross-border posts is crucial for Indonesia's land and maritime security and combating illegal activity. Geographical intelligence technology like sensors and machine learning can help find crucial sites. GEOINT and international cooperation enable monitoring, threat detection, and trade regulation. This study uses a literature review to examine how GEOINT helps Indonesia defend its territory. This research collects, analyzes, and synthesizes important scientific studies using a literature review. Our literature search used relevant terms in scientific databases. The selected literature covers GIS, GEOINT, Satellites, Drones, and cross-border posts. Analysis identified major conclusions and research gaps. Geospatial intelligence technology (GEOINT), which uses drones and satellites to monitor and provide high-resolution data, is effective at detecting and responding to threats in Indonesia's extensive border areas. Additionally, this technology helps find the right cross-border post. Geographic information systems (GIS) must assist centralized data management and defense agency collaboration to strengthen border security. GEOINT supports strategic cross-border post placement decisions to secure Indonesia's borders. For regional defense, national security, and stability in the face of complex global problems, the latest and most effective technologies must be developed and used.
Synthesis of Silver Nanoparticles (NPPs) Using Xylocarpus Granatum Fruit Extract and its Application in Heavy Metal Pollution Detection Aini, Debi Yulia Ramadhani’; Willian, Nancy; Siregar, Eko Febri Syahputra
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11726

Abstract

Heavy metals are dangerous pollutants because they are toxic, non-biodegradable, and stable. Mercury (Hg) is a type of heavy metal that is often a source of pollution in the aquatic environment. The biosynthesis process of nanoparticles using Xylocarpus granatum fruit extract as a bioreductant has been carried out using the green synthesis method. The research was conducted to synthesize silver nanoparticles (NPP) from Xylocarpus granatum fruit extract to detect heavy metals. The optimum condition of NPP was obtained through the comparison of AgNO3 concentration with extract and reaction time. The optimum NPP produced was at a concentration of AgNO3 1 mM 1:1 at a synthesis time of 2 hours. The NPP formed is selective to Hg metal as can be seen from the color change of NPP from dark brown to clear and sensitive to Hg metal at a concentration of 40 ppm. The calibration curve formed obtained a linear regration value of the relationship between the concentration of Hg standard solution and absorbance, namely y = -0.01330 + 3.71658 with a coefficient of determination (R2) value of 0.99229. Based on the standard curve obtained NPP mangrove fruit extract Xylocarpus granatum has an accuracy of 99.229% in predicting the concentration of the sample.
Interpreting Strategic Costing Management Based on the Awareness of Muslim Entrepreneurs: A Phenomenological Study Kurniawan, Lalu Martahadi Trisna; Sokarina, Ayudia
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11727

Abstract

This study aims to understand the implementation of strategic costing in alignment with Islamic values among Muslim entrepreneurs. Muslim entrepreneurs who pursue Falah business goals—achieving social, economic, and spiritual well-being—must possess a deep awareness of Islamic values that reflect ethical practices in their business operations. This research uses a phenomenological approach as its methodology. Data collection was carried out through interviews with Muslim entrepreneurs in Mataram City. The findings reveal that the application of Islamic concepts in current business practices is still lacking. Therefore, as one of the regions in Indonesia with a Muslim majority, it is important to explore how Muslim entrepreneurs in Mataram City implement contemporary strategic costing in accordance with Islamic business values.
Analysis of the Influence of Domestic Capital Investment (PMDN) And Foreign Capital Investment (PMA) On Economic Growth In West Nusa Tenggara Province 2014 - 2023 Anwar, Ihza Izaldi; Salmah, Emi
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11736

Abstract

Regional development in Indonesia is a process that involves various aspects such as economic, social, and environmental, with the aim of improving the welfare of the community in each region. One of the key elements in regional development is investment, which plays an important role in accelerating economic growth and equality throughout Indonesia.The types of investment that enter the region can be in the form of Foreign Direct Investment (FDI) or Foreign Investment (PMA) and Gross Domestic Investment (GDI) or Domestic Investment (PMDN). The purpose of this study is to see how much influence PMDN and PMA have on economic growth in West Nusa Tenggara Province. The method used in this study is quantitative descriptive.which aims to describe or explain phenomena that occur numerically.By using Multiple Regression Analysis to analyze the relationship and interrelationship between variables in this study. Data processing in this study uses the SPSS computer program. The results of the study indicate that PMDN and PMA have a positive effect on economic growth in West Nusa Tenggara Province.
Analysis of Willingness to Pay For Environmental Services in the Management Planning of the Jero Kerti Waterfall Tourism Object with the Ecotourism Concept Indrawan, I Nyoman Gde Ary; Basuki, Prayitno
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11752

Abstract

Indonesia has significant natural wealth, with abundant natural resources in it. Tourism is one of the strategic sectors in the development of the regional economy, especially in the waterfall tourism area. Jero Kerti Waterfall, located in Dasan Geria Village, Lingsar District, West Lombok Regency, West Nusa Tenggara, is one of the tourist attractions that is quite popular with the community. Although still in the early stages of ecotourism concept management, Dasan Geria Village has become a Tourism Village area in West Lombok Regency. Suboptimal tourism management can threaten the sustainability of natural resources and the surrounding ecosystem. Therefore, this study aims to calculate the willingness to pay (WTP) value for environmental services to support Jero Kerti Waterfall ecotourism and to determine the factors that influence the WTP value. This study uses a descriptive approach to create systematic, factual, and accurate descriptions and descriptions of the facts, nature, and relationships between the phenomena studied. The sampling technique uses simple random sampling to ensure that every visitor has an equal opportunity to be interviewed. Data were analyzed using the Contingent Valuation Method (CVM) to determine WTP. Analysis of factors affecting WTP values ​​was carried out using a simple regression equation. Data processing used the SPSS application to test validity and classical assumptions, and to determine the effect of independent variables on dependent variables together.
The Impact of Service Quality and Price Fairness on Repurchase Intention Through Customer Satisfaction: A Study of Natasha Skin Care Clinic Customers in DKI Jakarta Gulo, Eirene Nifati Pangkey; Sabar, Mudji
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11771

Abstract

This research analyzes how service quality, price fairness affects customer satisfaction and repurchase at Natasha Skin Care. The aim of this research is to explore the influence of service quality and price fairness on repurchase intentions, with customer satisfaction as a mediating variable. It is hoped that the findings from this research will help Natasha Skin Care formulate a more effective strategy to increase customer loyalty amidst intense competition. In this research, a nonprobability sampling method was used with a purposive sampling technique. This technique is based on certain considerations that are relevant to the research objectives. In this research, the number of samples collected was 150. Data collection was carried out using primary data obtained directly through the process of interviews, observations and distribution of questionnaires and secondary data obtained from existing sources, not through direct collection by researchers. Testing the measurement model uses a validity test consisting of convergent validity, Average Variance Extracted (AVE), and Discriminant Validity and a reliability test carried out by measuring Cronbach's Alpha and Composite Reliability values. Structural Model Testing (Inner Model) The evaluation stage of the inner model structural model is carried out by analyzing the R-Square value. The research results show that service quality significantly increases customer satisfaction and encourages repurchase intention, while price fairness also has a positive impact on satisfaction and repurchase intention. Ultimately, customer satisfaction serves as the main mediator in the relationship between service quality, price fairness, and repurchase intention.

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