cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
La Ode Agus Salim
Contact Email
sciencetech.group23@gmail.com
Phone
+6289508163057
Journal Mail Official
sciencetech.group23@gmail.com
Editorial Address
Jl. Findayani Indah, Kec. Baruga, Kel. Wundudopi, Kota Kendari, Sulawesi Tenggara
Location
Kota kendari,
Sulawesi tenggara
INDONESIA
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. 4 (2024): December" : 5 Documents clear
Smart Sensors and Intelligent Analysis: A Literature Review on More Effective Early Warning Systems with IoT and Machine Learning Mustamin, Syaiful Bachri; Atnang , Muhammad; Sahriani , Sahriani; Fajar, Nurhikmah; Sari, Sri Kurnian; Pahlawan , Muammar Reza; Amrullah, Mujahidin
Journal of Scientific Insights Vol. 1 No. 4 (2024): December
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i4.182

Abstract

The IoT system described in the article "LoRaWAN-Based IoT System Implementation for Long-Range Outdoor Air Quality Monitoring" monitors air quality in real-time and transmits data through a LoRaWAN network to a public IoT platform. It measures seven key air quality parameters: nitrogen dioxide (NO₂), sulfur dioxide (SO₂), carbon dioxide (CO₂), carbon monoxide (CO), PM2.5, temperature, and humidity. These parameters were chosen for their significant effects on air quality and human health. NO₂ and SO₂ come from fossil fuel combustion and can cause respiratory issues and acid rain. CO₂ contributes to climate change, while CO is toxic and harmful to health. PM2.5 particles can lead to respiratory and cardiovascular problems. The system uses sensors connected to an Arduino microcontroller to collect data, which is transmitted through a LoRa Shield to a LoRaWAN gateway. Data is then sent to The Things Network (TTN), integrated with ThingSpeak, and displayed on a web dashboard. Additionally, it is synchronized with the Virtuino smartphone app for mobile monitoring. The system has been validated by comparing its data to Aeroqual air quality monitors, demonstrating reliable real-time monitoring and transmission of air quality information over the internet.
The Overview of Smoking on Clotting Time Results Among Students of Politeknik Piksi Ganesha Sudrajat, Agus; Alwi , Ryo Gerald Valentio
Journal of Scientific Insights Vol. 1 No. 4 (2024): December
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i4.229

Abstract

The World Health Organization (WHO) in 2019 stated that smoking is one of the biggest challenges in global health, as it causes approximately 6 million deaths worldwide each year. One of the effects of smoking is an increase in plasma homocysteine levels. This study is an analytical study with a cross-sectional design using quota sampling technique. The research sample consisted of students from Politeknik Piksi Ganesha aged 20-25 years who were active smokers. The study used the Lee-White method to measure blood clotting time. According to the results, it can be concluded that the blood clotting time among smoking students at Politeknik Piksi Ganesha tends to be shorter, with 18 out of 30 samples (60%) showing a shortened clotting time, while the remaining 12 samples (40%) exhibited normal clotting times. This study emphasizes that smoking is a major factor that can affect the body's hemostatic system, potentially leading to prolonged clotting time.
Revolutionizing Automotive Engineering with Artificial Neural Networks: Applications, Challenges, and Future Directions H. Abdelati, Mohamed; Ebram F.F. Mokbel; Hilal A. Abdelwali; Al-Hussein Matar; M. Rabie
Journal of Scientific Insights Vol. 1 No. 4 (2024): December
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i4.232

Abstract

Artificial neural networks (ANNs) have emerged as the technology that provides solutions to key issues arising in the field of automobile engineering regarding autonomous driving, predictive maintenance, energy control, and vehicle protection. This paper aims to present various uses of ANNs in car industry concerning data handling for continuous decision-making and adaptation. Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and Generative Adversarial Networks (GANs) are all explored in relation to their ANN specific relevance to automobiles. The identified limitation also responds to issues associated with the integration of ANN such as data dependency, the computational load required, and questions related to the ethical use of AI decision making. This paper compares ANN techniques in an automotive context, explaining where they excel and where they could use improvement in terms of the tasks they are applied to. The strategies for phased implementation of the ANN framework, the performance evaluation for each stage of implementation, and the optimization methodologies are discussed below. Future direction highlights the future development of transformers, energy efficient models and raising concerns of ethical regulatory frameworks with regards to ANN driven systems. Thus, by such barriers overcoming, ANNs have a potential to significantly influence the further development of automotive engineering and make automobiles safer, more efficient and environmentally friendly. This study advances the discussion around intelligent mobility and provides the foundation on which future research in the field can build from.
The Impact of Biochar Derived from Corncobs in Ameliorating Soil Quality of Rice Farm in Dutse, Nigeria Amoo, Afeez Oladeji; Adamu , Suleiman Bashir; Musa , Aminu; Adeleye , Adeniyi Olarewaju; Asaju , Catherine Iyabo; Ijanu , Emmanuel Madu; Bate, Bade Garba; Amoo , Nureni Babatunde
Journal of Scientific Insights Vol. 1 No. 4 (2024): December
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i4.234

Abstract

In response to the challenges posed by organic soil contamination, a promising approach involves the application of biochar. This study investigates the effects of biochar derived from corncobs on soil organic matter, organic carbon, and soil microbial biomass carbon through one-factor factorial design experiments. Crushed corncobs were subjected to pyrolysis at 300 °C to produce corncobs-biochar, which was incrementally added to pots containing four different levels of paddy soils. Results indicated a significant enhancement (p<0.05) in the physicochemical composition of samples and improved acid degradation upon the addition of corncob-biochar with pH increasing from 1.3 in control to 9.10 in the highest treatment (TP4), along with notable improvements in electrical conductivity, cation exchange capacity, and organic carbon levels. The most effective biochar applications, TP3 and TP4, demonstrated improved nutrient retention and reduced soil acidity. This suggests that incorporating corncob-biochar into the soil can ameliorate acidic conditions and sequester carbon for future ecosystem use. In conclusion, amending soil with corncob-biochar demonstrates a notable enhancement in soil quality. The environmentally friendly application of corncob-biochar could be recommended by offering a sustainable and economically practical strategy for enhancing soil quality, addressing soil degradation, and promoting long-term agricultural productivity.
Data-Driven Road Safety: A Machine Learning Framework Utilizing Open Traffic Data H. Abdelati, Mohamed; Al-Hussein Matar; Hilal A. Abdelwali; Ebram F.F. Mokbel; M. Rabie
Journal of Scientific Insights Vol. 1 No. 4 (2024): December
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i4.237

Abstract

Road traffic accidents continue to be a problem across the world and according to statistics cause high mortality and economic losses. This research work conceptualizes an idea that will use open traffic data and machine learning models to forecast accidents on roads in order to promote road safety. Based on the presented literature review, the framework incorporates a step-by-step procedure to analyze risk factors for targeted safety interventions, including data pre-processing and feature selection, application of a chosen model for high-risk zones identification, and improving the result by altering related factors. The findings show the applicability of open data and predictive analysis in traffic safety matters, with special emphasis on temporal, spatial, and environmental features. Resources allocation, urban traffic control, and monitoring are cases used to illustrate the framework's applicability. Although this is a conceptual model, the challenges, such as data quality, data privacy issues, and practical issues with implementation, are also included in the framework, along with suggestions for future research, such as the use of stream data and improved modeling techniques. This investigation contributes to the literature as a robust theoretical model from which practical solutions for road traffic safety interventions can be derived to reduce and ultimately eliminate traffic accidents and fatalities worldwide.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2026): Available online Vol. 2 No. 6 (2025): December Vol. 2 No. 5 (2025): October Vol. 2 No. 4 (2025): August Vol. 2 No. 3 (2025): June Vol. 2 No. 2 (2025): April Vol. 2 No. 1 (2025): February Vol. 1 No. 4 (2024): December Vol. 1 No. 3 (2024): October Vol. 1 No. 2 (2024): August Vol. 1 No. 1 (2024): June More Issue