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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

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.

Relation of Facial Expressions and Student Learning Outcomes in Face Recognition-Based Online Learning Hikmatiar, Hamzarudin; Sya'bania, Nursina; Hamsa, Berlian
Edcomtech Vol 9, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um039v9i12024p1

This research was conducted to determine the relationship between facial expressions and student learning outcomes based on face recognition. The applied learning is online, with nine respondents participating in statistics lectures. This type of research is quantitative research with inferential statistical analysis; the software used to detect facial expressions is LOBE software, while the data collection on learning outcomes uses multiple choice questions as many as ten. Based on the research results, there is a relationship between facial expressions and student learning outcomes, which are carried out through the person correlation test with a significance of less than 0.05, namely 0.001. The level of the relationship between the two is a perfect correlation based on the correlation guide table, which is equal to 0.895.

The Effectiveness of Chatgpt in Completing Astronomy Lectures: Building Awareness of Its Use Hikmatiar, Hamzarudin; Sya’bania, Nursina; Jayadin, Jayadin; Kasman, Risqah Amaliah; Imranah, Imranah; Sahlan, Sahlan; Saputra, Sabarudin
Jurnal Pendidikan Fisika Vol 12, No 2 (2024): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v12i2.13587

The use of ChatGPT provides new opportunities for students to deepen their understanding of the course materials and overcome the obstacles they may encounter. The study of astronomy itself includes material that studies the universe, but students tend to minimize the related knowledge. The emergence of open AI products is considered a good solution to address the acceleration of specialized student learning in tasks. This research aims to find out whether ChatGPT has benefits for students in completing astronomy lecture assignments at the Muhammadiyah University of Maumere. This is seen from how often students use ChatGPT. The research method used is a mixed method that combines quantitative and qualitative analysis. Quantitative data is obtained from questionnaires which are presented in the form of numerical data, while qualitative data is additional information obtained through conversations between researchers and research sources. Data collection is carried out using an app that is shared with students through Google Forms after ChatGPT is applied to complete college tasks. This type of activity is considered to have excellent benefits for the completion of tasks in education. Based on the research results, it was found that 13 or 65% of the total respondents stated that ChatGPT was very good to use in completing tasks. Apart from that, using ChatGPT was also considered effective in completing astronomy lecture assignments because 50% of students stated that using ChatGPT was very effective in solving astronomy problems, while the other 50% chose only effective. Based on these findings, it is fundamental that ChatGPT has benefits for students to help solve lecture problems and can be a recommendation for other users provided they always pay attention to the ethics of its use.

Graphical User Interface (GUI) for Face Detection Using Viola-Jones Algorithm Saputra, Sabarudin; Akbar, Muhammad; Hikmatiar, Hamzarudin
Bincang Sains dan Teknologi Vol. 4 No. 01 (2025): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bst.v4i01.768

Face detection is an essential part of many applications, such as security systems, social networking platforms, and human-computer interaction. In order to detect human faces, this work investigates the application of the Viola-Jones algorithm in a graphical user interface (GUI) system created with Matlab. The Viola-Jones algorithm is a cutting-edge real-time face detection technique that uses AdaBoost learning to choose the most important features, Haar-like features, and an integral picture for quick feature computation. Fifteen randomly chosen photos from the internet with both single and numerous faces were used to test the system. The algorithm's efficacy in face detection is demonstrated by the results, which show an average accuracy of 89.86%. Nevertheless, other restrictions were noted, such as blocked faces, non-frontal facial angles, and subpar identification in dimly lit environments. These difficulties draw attention to how outside variables affect detection accuracy and point to possible areas for improvement, such using sophisticated preprocessing techniques or combining the algorithm with cutting-edge machine learning approaches. This study highlights the need for more research to increase the Viola-Jones algorithm's robustness in a variety of complicated circumstances while reaffirming its applicability.

Analysis of the UtilizationUtilization of a Learning Management System Based on the Independent Curriculum in Physics Education at Sikka Coastal Schools Hikmatiar, Hamzarudin; Al Farizi, Zakaria; Hamsa, Berlian; Nurlina, Nurlina; Jufriansah, Adi; Jayadin, Jayadin
Berkala Ilmiah Pendidikan Fisika Vol 13, No 1 (2025)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/bipf.v13i1.20322

Online learning has emerged as a dominant trend since the onset of the COVID-19 pandemic, leading to significant changes in the educational landscape. Numerous studies have examined using learning management systems (LMS) in educational settings. However, few have addressed the urgency of implementing LMS and the specific challenges coastal schools face. To explore these challenges, the researcher conducted a qualitative, descriptive study to analyze the use of LMS, focusing on a case study of high schools in Sikka Regency. The study involved nine schools, namely SMAN Pemana, MAS Nurwahid Gunung Sari, MAS Muhammadiyah Nangahure, MAS At-Taqwa Beru, SMA Muhammadiyah Maumere, SMAN Magepanda, SMA 1 Talibura, SMKN Talibura, and SMAN 1 Waigete. Data were collected through interviews with nine physics teachers. The research data were then analyzed using NVivo software to obtain quantitative percentages. The findings indicated that all participating schools utilized LMS, with the majority adopting Google Classroom. However, the most significant challenge identified was internet connectivity, with over 50% of the schools acknowledging this issue. Additionally, many students lacked smartphone access, particularly at MAS Muhammadiyah Nangahure, where nearly 2% of students did not own a smartphone, compared to approximately 5% at similar schools. Other challenges included the lack of internet data and limited understanding of technology among students. The most common concern reported by schools was the inflexibility of LMS platforms, particularly concerning their dependence on internet connectivity. For instance, SMAN Pemana noted a 4.8% incidence of issues related to the LMS they were using. Given these obstacles, many schools have turned to alternative solutions to support online learning, such as WhatsApp Groups, which 80% of the schools employ.

Dynamics of Sky Brightness during a Hybrid Solar Eclipse using SQM Jufriansah, Adi; Pramudya, Yudhiakto; Khusnani, Azmi; Hikmatiar, Hamzarudin; Sahlan, Sahlan; Saharul, Saharul; Donuata, Pujianti Bejahida
Al-Marshad: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan Vol 11, No 1 (2025): Al-Marshad
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jam.v11i1.21227

This study aims to analyze sky brightness dynamics during a hybrid solar eclipse using the Sky Quality Meter (SQM). Strategic observation sites were selected along the eclipse path, and continuous data collection was conducted using the SQM-LU-DL, telescopes, weather stations, and GPS for accurate location and atmospheric data. Measurements began several days before the eclipse and continued throughout and after the event. Data collected included sky brightness, visual documentation, and atmospheric conditions, which were analyzed using GnuPlot to detect trends and patterns in brightness changes. The study revealed significant fluctuations in temperature and light frequency, with a sharp decrease at the eclipse's peak, followed by a return to normal levels. These findings emphasize the eclipse's impact on natural light intensity and highlight the importance of addressing light pollution. The study contributes to understanding astronomical phenomena's effects on the environment and human health, aiding in the development of effective light pollution mitigation strategies.

Differences in Mastery of Physics Concepts and Learning Motivation in Groups through Online Learning Assisted by Phyphox Hikmatiar, Hamzarudin; Sulisworo, Dwi
Journal of Educational Technology Innovation and Applications Vol. 1 No. 02 (2025): Journal of Educational Technology Innovation and Applications
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jetia.v1i02.1167

E-learning is a form of distance education conducted through digital platforms. Phyphox, an application on a smartphone, is used for physics ex-periments either in class or by students at home. This application helps to do experiments without having to pay a high price. The purpose of this study was to determine the effect of Phyphox-assisted online learning on the mas-tery of physics concepts and learning motivation for class X1 students of SMAN Piyungan Yogykarta. The type of re-search is a true experiment with a posttest-only control group design. The data collection technique uses tests and questionnaires which are carried out online. The method used in data collection was the prerequisite test then continued with hypothesis testing using the MANOVA statistical test. The results showed that there was an average difference in the mastery of physics concepts and motivation to learn physics, namely, 24.8 and 173.46 in the experimental group, while in the control group, 21.88 and 171.28.

The Effect of Resitasi Method on Physics Learning Outcomes of Grade XI Students of SMAN Pemana, Sikka Regency Hikmatiar, Hamzarudin; Jauhari, Ishafit
Jurnal Pendidikan Fisika Vol. 7 No. 3 (2019): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v7i3.2109

Resitasi method is a method of teaching that enable learners to perform the tasks assigned by the teacher after explaining the topic. The tasks referred to here is solving problems that prepared by the teacher and will be distributed to each learner. This research is experimental research design used randomized posttest-only control group design, in order to compare the results of experimental physics learning between classes taught using the control class resitasi method taught using conventional methods. Number of students in the experimental class and control class that equal numbers of each class consists of 28 people. Through testing shows that the normality of the population come from a normally distributed population and the variance is homogeneous. In the descriptive analysis of learning outcomes visible difference in scores between grade physics experiment and control class that is 18.82 with a standard deviation of 5.02 in the experimental class while the control class of 16.14 with a standard deviation of 5.03. From the results of hypothesis testing shows that there are differences in learning outcomes among learners experimental class and control class using sigifikansi level α = 0.05. It can be concluded that learning by using the method of recitation is more influential than the learning using conventional methods in achieving the goals of learning physics.Keywords: Resitasi, Learning Outcomes, Experimental Class, Control Class, Learning PhysicsMetode resitasi merupakan metode pengajaran yang mengaktifkan peserta didik untuk mengerjakan tugas-tugas yang diberikan oleh guru setelah menjelaskan suatu materi. Tugas-tugas yang dimaksud disini adalah menyelesaikan soal-soal yang telah disusun oleh guru dan akan dibagikan kepada setiap peserta didik. Penelitian ini merupakan penelitian eksperimen dengan desain penelitian yang digunakan adalah Randomized posttest-only control group design, yang bertujuan untuk membandingkan hasil belajar fisika antara kelas eksperimen yang diajar dengan menggunakan metode resitasi dengan kelas kontrol yang diajar dengan menggunakan metode konvensional. Jumlah peserta didik pada kelas eksperimen maupun kelas kontrol sama jumlahnya yaitu masing-masing kelas terdiri dari 28 orang. Melalui pengujian normalitas terlihat bahwa populasi berasal dari populasi yang terdistribusi normal dan varians yang homogen. Pada analisis deksriptif terlihat perbedaan skor hasil belajar fisika antara kelas eksperimen dan kelas kontrol yaitu 18,82 dengan standar deviasi 5,02 pada kelas eksperimen sedangkan pada kelas kontrol 16,14 dengan standar deviasi 5,03. Dari hasil uji hipotesis terlihat bahwa terdapat perbedaan hasil belajar antara peserta didik kelas eksperimen dan kelas kontrol dengan menggunakan taraf sigifikansi α = 0,05. Sehingga dapat disimpulkan bahwa pembelajaran dengan menggunakan metode resitasi lebih berpengaruh jika dibandingkan dengan pembelajaran yang menggunakan metode konvensional dalam mencapai tujuan pembelajaran fisika.Kata kunci: Resitasi, Hasil Belajar Fisika, Kelas Eksperimen, Kelas Kontrol

The Effectiveness of Chatgpt in Completing Astronomy Lectures: Building Awareness of Its Use Hikmatiar, Hamzarudin; Sya’bania, Nursina; Jayadin, Jayadin; Kasman, Risqah Amaliah; Imranah, Imranah; Sahlan, Sahlan; Saputra, Sabarudin
Jurnal Pendidikan Fisika Vol. 12 No. 2 (2024): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v12i2.13587

The use of ChatGPT provides new opportunities for students to deepen their understanding of the course materials and overcome the obstacles they may encounter. The study of astronomy itself includes material that studies the universe, but students tend to minimize the related knowledge. The emergence of open AI products is considered a good solution to address the acceleration of specialized student learning in tasks. This research aims to find out whether ChatGPT has benefits for students in completing astronomy lecture assignments at the Muhammadiyah University of Maumere. This is seen from how often students use ChatGPT. The research method used is a mixed method that combines quantitative and qualitative analysis. Quantitative data is obtained from questionnaires which are presented in the form of numerical data, while qualitative data is additional information obtained through conversations between researchers and research sources. Data collection is carried out using an app that is shared with students through Google Forms after ChatGPT is applied to complete college tasks. This type of activity is considered to have excellent benefits for the completion of tasks in education. Based on the research results, it was found that 13 or 65% of the total respondents stated that ChatGPT was very good to use in completing tasks. Apart from that, using ChatGPT was also considered effective in completing astronomy lecture assignments because 50% of students stated that using ChatGPT was very effective in solving astronomy problems, while the other 50% chose only effective. Based on these findings, it is fundamental that ChatGPT has benefits for students to help solve lecture problems and can be a recommendation for other users provided they always pay attention to the ethics of its use.

DEVELOPMENT OF STEM-BASED LKPD ASSISTED BY PHYPHOX ON CIRCULAR MOTION MATERIAL TO IMPROVE CRITICAL THINKING SKILLS Sahlan, Sahlan; Hikmatiar, Hamzarudin; Amin, Chintia Nazilah
Jurnal Pendidikan Fisika FKIP UM Metro Vol 13, No 2 (2025)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jpf.v13i2.13458

This study aims to design and produce Student Activity Sheets based on the Science Technology Engineering and Mathematics Approach assisted by the phyphox application on circular motion material in order to improve the critical thinking skills of high school students. This research is adevelopment research (R&D) with the ADDIE model. This research uses a quantitative approach. The population of this study were students of class XI at SMA Muhammadiyah Maumere. The research sample was taken purposively, the sample numbered 25 people. The data collection technique was through a critical thinking ability test through an essay test.The data analysis techniques used are descriptive analysis and N-Gain test. This study produced a teaching material product in the form of LKPD which was declared valid based on expert assessment with an average of 92% material experts (very feasible) and 87% media experts (very feasible). LKPD is declared effective to use based on the results of the pretest and posttest of students' critical thinking skills through the N-gain test of 0.54 with moderate criteria. Based on the research results, it can be concluded that the product received a valid and effective assessment for use in physics learning at the high school level.

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