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Journal of Scientific Insights
Published by CV. Science Tech Group
ISSN : -     EISSN : 30628571     DOI : -
Core Subject : Health, Education, Social, Engineering,
Education Engineering Public Health Social Sciences Other
Journal of Scientific Insights (JSI) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality research across a broad spectrum of disciplines. Emphasizing interdisciplinary collaboration, JSI welcomes original contributions that bridge science, engineering, technology, and other fields—such as health, education, social sciences, and economics—to address complex real-world problems. The journal particularly encourages work that applies innovative scientific and technological perspectives in support of the United Nations Sustainable Development Goals (SDGs).
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 3 (2024): October" : 5 Documents clear
Ethics In The Information Technology Process : A Case Study Of Social Media Womboiang, Felni Gemma Nucifera; JMJ, Sr Youla Agnes Lontaan; Lengkong, Gledys Tirsa
Journal of Scientific Insights Vol. 1 No. 3 (2024): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i3.178

Abstract

Technological developments cannot be avoided with life, surely we do not just sit back and miss the development of the world. Keeping up with information technology actually makes it easier to obtain information or even to benefit mankind. Easiest way to communicate now is by using social media. Ethics applies not only to real life but also to the development of information technology with its broad array of ethical applications. On the basis of freedom of opinion, people feel that it is their personal right to share potentially inappropriate tips. Although the Electronic Information and Transactions, it is felt that it would have no effect on ordinary people. This has proved to be with the pervading of social media in slander, confrontation, bullying, abusive speech, or even vulgarity. The study uses case study methods on social media applications, noting how upload which is still very freely accessible to others may even trigger big problems to the legal realm. The policy and maturity of the account owner or individual individual is to be expected, so that how the upload is made may be useful and impact information for everyone who sees it regardless of age.
The Application of Machine Learning and Intelligent Sensors for Real-Time Air Quality Monitoring: A Literature Review Mustamin, Syaiful Bachri; Atnang, Muhammad; Sahriani, Sahriani; Fajar, Nurhikmah; Sari, Sri Kurnian; Pahlawan , Muammar Reza; Amrullah, Mujahidin
Journal of Scientific Insights Vol. 1 No. 3 (2024): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i3.183

Abstract

Air pollution is a global issue that has major consequences for human health and the environment. Accurate air quality prediction plays an important role in mitigating and preventing the negative impacts of air pollution. The thirteen sources analyzed in this literature study show a growing trend in the use of machine learning for air quality prediction, driven by the limitations of traditional methods and machine learning capabilities in efficiently processing complex data. This literature study examines a variety of commonly used machine learning models, such as Support Vector Regression (SVR), Random Forest, Gradient Boosting, and Long Short-Term Memory (LSTM), and evaluates their performance based on metrics such as RMSE, MAE, and R². The sources also highlight the importance of understanding the factors that affect air quality, including concentrations of various pollutants (PM2.5, PM10, NO2, CO, SO2, and ozone), meteorological data (temperature, humidity, wind speed, air pressure, precipitation, and temperature inversion), traffic data, and spatial-temporal variations. The integration of the Internet of Things (IoT) and machine learning is the main focus in the development of real-time air quality monitoring systems. IoT sensors enable the collection of real-time air quality and meteorological data, which are then processed using machine learning models to generate predictions. This literature study identifies several challenges in air quality prediction, such as data limitations, the complexity of air pollution dynamics, and ethical & privacy considerations. However, machine learning offers great potential to improve the accuracy of air quality predictions and monitoring, thus contributing to a healthier and more sustainable environment.
Leveraging Public Transport Route Innovations as Technological Inspiration for Advancing Islamic Education Stiya Mulyani, Pamungkas; Syam , Robingun Suyud El
Journal of Scientific Insights Vol. 1 No. 3 (2024): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i3.194

Abstract

The problems and challenges that exist in Islamic education, both in learning and its application, are multidimensional, including the decline in children's innovative abilities due to the influence of digital products. This article aims to review unique writing on public transport routes: inspiration for innovation in Islamic education. This paper is set in qualitative library research, with inductive analysis. The results of the discussion show that the unique writing on public transport routes is intentional, the result of innovation from the owners of these vehicles. This fact can be used as inspiration for Islamic education, that innovative processes can be obtained from various sources and then contextualized into the learning process. Research implications for the direction of interdisciplinary research to build Islamic education based on contextual teaching and learning. The research hopes to contribute to Islamic education.  
The Impact of Job Equivalency Policies and Work Systems on Employee Performance in the Gorontalo City Government: An Information Systems Perspective Tangguda, Kharisma; Gobel , Lisda Van; Nggilu, Rukiah
Journal of Scientific Insights Vol. 1 No. 3 (2024): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i3.198

Abstract

The purpose of this study was to determine and analyze the influence of job equivalency policy on employee performance, the influence of work system on employee performance and the influence of job equivalency policy and work system simultaneously on employee performance at the Gorontalo City Government. This study used a survey research type with a quantitative approach, a sample of 73 respondents who were employees of the Gorontalo City Government, data analysis using multiple regression analysis with the help of the SPSS version 26 application. The results of the study showed that: (1) partially the job equivalency policy has a negative and significant effect on employee performance. If the job equivalency policy continues to be implemented, employee performance will continue to decline. (2) partially the work system has a positive and significant effect. a good work system continues to be improved, then employee performance will increase. (3) the job equalization policy has a positive and significant effect. the job equalization policy and work system are improved together, then performance will increase. Gorontalo City Government needs to re-evaluate the job equalization policy because it has a negative effect on improving employee performance. Evaluation in terms of human resource management according to competency and competency development through functional training for officials affected by the equalization. There is also a need to be capacity mapping and mapping of human resource needs. In addition, employees in the Gorontalo City Government environment need to continue to improve the work system so that they can improve employee performance.
Digitalized Regional Development Planning Model for North Gorontalo Regency: A Technology-Enhanced Approach to Participatory and Technocratic Planning Indah, Nurmala Suci; Rachman, Ellys; Gobel , Lisda Van
Journal of Scientific Insights Vol. 1 No. 3 (2024): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i3.199

Abstract

The objectives of this study are: (1) To find out and analyze the regional development planning model by the Regional Planning Research and Development Agency of North Gorontalo Regency seen from the technocratic planning model, participatory planning, and top-down and bottom- up planning, (2) To find out and analyze the inhibiting factors of the regional development planning model by the Regional Planning Research and Development Agency of North Gorontalo Regency. This study uses a qualitative approach with a descriptive research type. The data consists of primary data obtained from interviews with informants and observations and secondary data from document studies. The results of the study indicate that the regional development planning model of technocratic planning, namely regional development planning is formulated based on the results of analysis by competent regional apparatus and academics and has a function as an implementing team for the preparation of the RKPD, Participatory planning, namely BAPPPEDA coordinating with other agencies and presenting community leaders in accommodating community aspirations and proposals fairly in supporting regional development in North Gorontalo Regency, while top-down and bottom-up planning, namely planning through musrenbangda by synchronizing government work plans and program proposals from the community. Furthermore, the inhibiting factors of the planning model due to limited human resources that are not yet sufficient and inadequate, community program proposals have not been fully realized due to lack of community knowledge in development planning, lack of consistency in top-down and bottom- up planning due to lack of awareness and community involvement in the planning process.

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