cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dwi Sulisworo
Contact Email
sulisworo@iistr.org
Phone
+6281328387777
Journal Mail Official
jnest@journal.iistr.org
Editorial Address
Jalan Sugeng Jeroni No. 36 Yogyakarta 55142, Indonesia
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Journal of Novel Engineering Science and Technology
Published by Indonesian Institute of Science and Technology Research
ISSN : 29618916     EISSN : 29618738     DOI : https://doi.org/10.56741/jnest.v1i02
Core Subject : Science, Social, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Mechanical Engineering
Journal of Novel Engineering Science and Technology is a multi-disciplinary international open-access journal dedicated to natural science, technology, and engineering, as well as its derived applications in various fields. JNEST publishes high-quality original research articles and reviews in all of the disciplines mentioned above. All papers submitted will go through a rapid peer-review process to ensure their quality. Submissions must contain original research and contributions to their field. The manuscript must adhere to the author’s guidelines and have never been published before. All accepted manuscripts will be indexed in DOAJ, EBSCO, and Google Scholar. The indexation in SINTA, Scopus, and WoS will be provided in the future to provide maximum exposure to the articles.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 57 Documents
 1   2   3   4   5 
Latest Trends in Visual Manipulation and Navigation in Robotics Miftahul Amri, Muhammad; Areche, Franklin Ore; Ratnakar Naik, Amar
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.253

Abstract

In recent decades, the term Robot has become more and more popular. A robot can be defined as a machine that is specifically built to complete certain tasks to help human-being. In order to successfully accomplish its task, the robot needs to receive input data and process it. Then, the processed data is used for manipulator-actions decision-making. The input data can vary from sound, temperature, vibration, touch, vision, etc. Among those input data, vision is arguably one of the most challenging data. This is because vision often needs detailed and complicated preprocessing before it can be used. In addition, vision data size is relatively larger compared to the other type of input data, making it more challenging to process considering the computational resources. In this paper, current research and future development trend of robotic vision were reviewed and discussed. Further, challenges and potential issues about robot vision, such as safety and privacy concerns, were also discussed.
The Application of the Technology Readiness Acceptance Model on Education Nafia, Zidnii Ilma; Hidayati, Dian; Sulisworo, Dwi
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.265

Abstract

The development of science and technology has changed the work system, including in educational institutions. Rapid information and communication technology changes are now essential factors in changing education management. Improving the quality of education can leverage the quality of a nation. Technology in the teaching field provides many opportunities in various aspects of education and learning, such as academic services, access to learning materials, educational evaluation, management of lesson content, reports on student learning outcomes and the use of digital-based learning media by teachers. The use of technology in learning can create a competitive environment for students and teachers to be more creative and innovative. Education in Technology Study (Edtech) has become a global concern, especially during a pandemic. The revitalization and development of teacher and student synergy in implementing digital technology-based education will accelerate the education revolution 4.0.
IoT-based Single-Phase Power Factor and Control Panel Monitoring System Subrata, Arsyad Cahya; Perdana, Muhammad Sukmadika; Ariyansyah, Qolil
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.270

Abstract

The power factor is a value obtained by comparing the actual power value and apparent power in an electric circuit. Because it is related to the quality of the distributed power, this power factor needs to be monitored. Devices with inductive loads generally cause power factor distortion, causing losses. Power factor monitoring is carried out periodically to ensure the efficiency of electricity distribution to the building. Power factor monitoring is usually done on the control panel of a building by measuring the voltage and current flowing. Manual monitoring could be more ineffective in terms of time and effort and has the potential for recording errors. This study proposes a power factor monitoring system on the control panel to facilitate recording. The system created is integrated with IoT technology so that it can monitor and record automatically anywhere and anytime. The developed system has an error percentage of 1.53% for the voltage sensor and 5.02% for the current sensor.
Revolutionizing Quranic Education for 4th Grade Student Through Customized Open-Source Operating System Bhamana Apta Reyhandendra; Idris Mustapha Abdullahi; Garba Zakariya’u
Journal of Novel Engineering Science and Technology Vol. 2 No. 02 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i02.308

Abstract

This study aims to develop an open-source and legal operating system for Quranic education that can be used for teaching the Quran to 4th-grade students using a computer. The operating system display is customized using code commands and Gnome Tweak Tool, and includes themes, shells, icons, fonts, OS logos, backgrounds, booting screens, and multimedia. The IQROS Linux distribution was designed to assist teachers in teaching Quranic lessons to elementary school students, and was evaluated using a questionnaire at a particular elementary school in Indonesia. The study found that the majority of respondents agreed that the color and background design were appropriate, and the use of IQROS Linux was suitable for facilitating religious learning. The software was found to help teachers with their work and increase student interest in learning the Quran, demonstrating the potential of IQROS Linux to enhance religious education in elementary schools. The relevant future resreach is to conduct a longitudinal study to assess the long-term impact of using IQROS Linux on students' Quranic learning outcomes. This could involve tracking students' progress over several years to measure their retention of Quranic knowledge and their ability to apply it in their daily lives.
Determining the Particle Size of Cu and Ni in Thin Cu/Ni Films using the Williamson-Hall Method Rahmatika, Zulfa ‘Amalia; Toifur, Moh.
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.311

Abstract

This research focuses on analyzing the particle size of a thin Cu/Ni layer produced through electroplating by varying the input voltage. The Williamson-Hall method is used to determine the particle size of the layer, and an X-ray diffractometer is used to characterize the layer. The study finds that the particle size of Cu and Ni layers with different applied voltages has different values due to various factors. The optimum voltage for the Ni layer is found to be 7.5 volts, and its overall particle size is 4.13 × 10^(-10) nm, while the particle size of Cu is 5.00 × 10^(-9) nm. The applied voltage affects the particle size produced, and the research identifies an optimum voltage at 7.5 volts.
AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Sya’bania, Nursina; Leto, Kristina Theresia; Hikmatiar, Hamzarudin; Saputra, Sabarudin
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.314

Abstract

Pollutants in the air have a detrimental effect on both human existence and the environment. Because it is closely linked to climate change and the effects of global warming, research on air quality is currently receiving attention from a variety of disciplines. The science of forecasting air quality has evolved over time, and the actions of different gases (hazardous elements) and other components directly affect the health of the ecosystem. This study aims to present the development of a prediction system based on artificial intelligence models using a database of air quality sensors.This study develops a prediction model using machine learning (ML) and a Decision Tree (DT) algorithm that can enable decision harmonization across different industries with high accuracy. Based on pollutant levels and the classification outcomes from each cluster's analysis, statistical forecasting findings with a model accuracy of 0.95 have been achieved. This may act as a guiding factor in the development of air quality policies that address global consequences, international rescue efforts, and the preservation of the gap in air quality index standardization.
Incorporating AI Tools into Medical Education: Harnessing the Benefits of ChatGPT and Dall-E Muhammad Miftahul Amri; Urfa Khairatun Hisan
Journal of Novel Engineering Science and Technology Vol. 2 No. 02 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i02.315

Abstract

Artificial intelligence (AI) has shown promising potential to transform various fields, including medical education. Recently, the rapid advancement of AI has led to many ``new'' discoveries that caught everyone's attention. Among those discoveries are introduced by OpenAI (e.g., ChatGPT, Dall-E, and the most recent, GPT-4). The integration of AI tools, such as ChatGPT and Dall-E, can offer a new dimension to medical education by creating an interactive and engaging learning experience. In this article, we explore the potential benefits of ChatGPT and Dall-E in medical education and provide practical utilization examples of those tools. For starters, ChatGPT, or in this sense, any other similar large language models, can simulate patient interactions in a safe environment, allowing medical learners to practice their communication skills and diagnosis techniques. Furthermore, it can assist medical students and researchers in reading and writing academic articles by accurately summarizing the key points of a given topic and generating an indistinguishable abstract. In addition, ChatGPT can also create problems for medical assignments and exam practice. In this article, we also discussed ChatGPT's capability to answer standard medical assignment problems. Dall-E, on the other hand, can generate dummy copyright-free and consent-free medical images (e.g., x-ray and electrocardiogram (ECG) graphs), allowing medical learners to practice and enhance their interpretation skills. Incorporating AI-based tools into medical education can provide a new approach to teaching and learning, bridging the gap between theory and practice, and unlocking new avenues for learning and discoveries for both, the students and the instructors. It can also offer a cost-effective solution to simulate real-world scenarios that would otherwise require significant resources and time. In summary, this article concludes that AI-based tools have the potential to revolutionize medical education, empowering medical learners with the skills and knowledge necessary to excel in their field.
Analysis of Student Satisfaction with Student Affairs Unit Services: A Case Study of the Industrial Engineering Study Program at XYZ University Utami, Endah; Regita, Dika Brahmanda Ayu
Journal of Novel Engineering Science and Technology Vol. 2 No. 02 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i02.370

Abstract

Student satisfaction is a crucial criterion for assessing the quality of higher education. This study aimed to measure student satisfaction with the scholarship service process in a higher education institution. The research employed multiple linear regression analysis using the Servqual model proposed by Parasuraman, which includes the variables of tangibles, responsiveness, reliability, assurance, and empathy. The population of this study consisted of 132 active students from the Industrial Engineering Study Program (IE), enrolled between 2016 and 2019. The partial test results revealed that reliability (Sig. 0.039 < 0.05) and assurance (Sig. 0.000 < 0.05) significantly influenced student satisfaction. The simultaneous test results demonstrated that tangibles, responsiveness, reliability, assurance, and empathy significantly impacted student satisfaction. The correlation coefficient, represented by R2 (0.754), indicated that the variables under investigation could explain 75.4% of the variation in student satisfaction. In comparison, the remaining 24.6% may be influenced by external factors beyond the scope of this study.
Assessment of Autotronics Servicing Skill Needs among Roadside Mechanics for the Use of Auto Scan Tools Stephen Z. Kumazhege; Eric B. Enoch; Nasiru Sani Zakirai; Umar Abubakar Madabai
Journal of Novel Engineering Science and Technology Vol. 2 No. 02 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i02.372

Abstract

This study examined the Autotronics Servicing Skills needs among Roadside Mechanics and Master Trainers using auto scan tools. Two research questions and two null hypotheses guided the study. The study was carried out in 9 local government areas of Kano State. The study population was 90 Road Side Mechanics, and Masters Trainers selected through a simple random sampling technique. The whole population was used for the study. A structured questionnaire validated by three experts from the Department of Technology Education, Modibbo Adama University, Yola and trial tested for internal consistency in the Ringim local government area of Jigawa State was used. The instrument yielded a reliability coefficient of 0.82. The instrument structured on 5 points Likert scale was used to elicit information on using the Onboard diagnostic (OBD2) and Launch code reader professional 123 (CRP123) for diagnosing vehicle systems faults. Data collected were analyzed using Microsoft Excel. Mean and standard deviation was used to answer the research questions. Z-test statistics were used to test the null hypotheses at a 0.05 significance level. The study found out that Roadside Mechanics need autotronics servicing skills in the use of OBD2 and CRP123 for diagnosing and fixing problems in the engine, transmission, airbag (supplemental restraint system SRS), anti-lock braking system (ABS), and emission-related systems. The study recommended that ASS acquisition centres should be established in Kano State by organizations like the Ministries of Labour, the National Directorate for Employment (NDE), the National Automotive Design and Development Council (NADDC), the National Board for Technical Education (NBTE) and so on to enable Roadside Mechanics and other people who wish to learn the skills to acquire the required training to meet up with the challenges ever increasing in the motor vehicle technology.
Analysis of Location Determination for Temporary Waste Collection Points Using p-dispersion Method: An Application to Yogyakarta City, Indonesia Donny Dwi Julianto; Annie Purwani; Siham Bouguern
Journal of Novel Engineering Science and Technology Vol. 2 No. 02 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i02.369

Abstract

The city of Yogyakarta, particularly the Maliobro-Kranggan sector, with a total population of 117,656, has the potential to generate 221 m3/day of waste, while the total capacity of the existing temporary waste collection points or Temporary Disposal Sites (TPS) is 17 units with a capacity of 306 m3. The Yogyakarta Environmental Agency must reconsider the number of TPS facilities and their capacities to meet the community's needs. In certain areas, there are nearby TPS locations, causing some of them not to function optimally as the community chooses the ones that are easily accessible. On the other hand, the proximity of TPS facilities also disturbs the comfort of the community due to worsening odor pollution. In response to this issue, this research aims to determine the optimal number of TPS facilities and their ideal locations using the p-dispersion method. This method is used to determine facility locations by maximizing the minimal distance between each available facility. This research also adds a criterion by considering the travel distance from waste sources to the selected facilities. The study is conducted using Lingo 11.0 software. Based on the data processing results, 13 of 17 TPS facilities were established. The total capacity is 254 m3/day, which can serve as the waste source for 13 community locations. The objective value obtained is 5900, which indicates that the minimum separation distance for the ideal facilities is 5900 meters.

Page 2 of 6 | Total Record : 57

 1   2   3   4   5 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 03 (2025): Forthcoming Issue - Journal of Novel Engineering Science and Technology Vol. 4 No. 02 (2025): Journal of Novel Engineering Science and Technology Vol. 4 No. 01 (2025): Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology Vol. 3 No. 01 (2024): Journal of Novel Engineering Science and Technology Vol. 2 No. 03 (2023): Journal of Novel Engineering Science and Technology Vol. 2 No. 02 (2023): Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology Vol. 1 No. 02 (2022): Journal of Novel Engineering Science and Technology Vol. 1 No. 01 (2022): Journal of Novel Engineering Science and Technology More Issue