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AI-Driven Optimization of Pascal Programming Instruction for Undergraduate Physics Students at University of Mataram Muhammad Taufik; Muhammad Zuhdi; Syahrial Ayub; Joni Rokhmat; Hisbulloh Als Mustofa
International Journal of Contextual Science Education Vol. 2 No. 2 (2024): April - June 2024
Publisher : Postgraduate Program, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijcse.v2i2.640

Abstract

Teaching computational physics and developing programming skills remains a significant challenge for many undergraduate programs worldwide. This study presents an innovative approach implemented at the University of Mataram, Indonesia, to optimize Pascal programming instruction for physics students. Various artificial intelligence (AI) techniques were utilized to assist students in developing more complex programs. This enabled the generation of customized lesson plans with interactive tutorials, coding exercises, and simulations tailored to each student's needs. Throughout the semester, the system continuously monitored student progress and adjusted instructional materials accordingly. The analysis of Mann-Whitney test results for Computational Physics scores among Classes A, B, and C revealed no statistically significant differences between the groups, with median scores consistently at 80 and p-values exceeding 0.05. However, an examination of the theoretical section of the final examination showed an overall improvement in average scores compared to the previous year, with Class A achieving the highest mean score of 84%. Additionally, the practical programming section demonstrated increased pass rates across all three classes, with Class B achieving the highest pass rate at 92%, followed by Class A at 88% and Class C at 82%. Student feedback indicated high levels of satisfaction with the approach, citing increased engagement and motivation. The study highlights the potential of leveraging AI techniques in generating personalized programming examples for computational physics education, enhancing comprehension of theoretical concepts, and facilitating the development of practical programming skills.
Analysis of Physics Education Students’ Computational Readiness in Modern Digital-Based Computational Learning Muhammad Taufik; Wahyudi Wahyudi; Fathurrahman Fathurrahman
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 4b (2025): Edisi Khusus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i4b.2452

Abstract

This study aims to provide a more in-depth description of Physics Education students' computational readiness for modern computational learning utilizing digital technology. Twenty-eight students participated as respondents, and data were collected through five main indicators: digital literacy, computational mathematics skills, programming experience, device readiness, and the level of difficulty in understanding computational concepts. The results indicate that student readiness is still in the moderate category, especially in digital literacy and mathematics skills. The majority of students also lack adequate programming experience, requiring more intensive guidance when dealing with program syntax and logic. The devices used by students vary in performance, which also affects the smoothness of computational practice. Furthermore, the level of difficulty of computational concepts is quite high, especially in reading pseudocode and debugging. Overall, the findings of this study demonstrate the need for a more adaptive, gradual learning strategy that takes into account the diversity of student abilities.
Analisis Kemampuan Berpikir Kreatif Peserta Didik Melalui Penerapan Project-Based Learning di SMA Negeri 1 Kediri Kabupaten Lombok Barat Wahyudi Wahyudi; Mariam Ulfa; Muhammad Taufik
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 4 (2025): November
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i4.2453

Abstract

Pendidikan memiliki peran strategis dalam membentuk karakter dan kemampuan mental anak sebagai bekal berkontribusi dalam kehidupan. Salah satu aspek penting dalam peningkatan kualitas pendidikan adalah pengembangan kreativitas peserta didik, yang berperan krusial dalam pemecahan masalah dan pencapaian hasil belajar. Penelitian ini bertujuan untuk menganalisis pengaruh model pembelajaran berbasis proyek (Project-Based Learning/PjBL) terhadap kemampuan berpikir kreatif siswa pada mata pelajaran fisika di SMA Negeri 1 Kediri, Lombok Barat. Metode yang digunakan adalah quasi eksperimen dengan dua kelompok: kelas eksperimen yang menerapkan model PjBL dan kelas kontrol dengan metode konvensional. Instrumen penelitian berupa tes uraian kreativitas yang mengukur empat indikator: kelancaran, keluwesan, elaborasi, dan originalitas. Hasil penelitian menunjukkan bahwa rata-rata kemampuan berpikir kreatif siswa mencapai 82,50% dengan kategori cukup baik. Indikator kelancaran dan elaborasi memperoleh skor tinggi, sedangkan keluwesan dan originalitas masih perlu ditingkatkan. Temuan ini menegaskan bahwa model PjBL efektif dalam mendorong pengembangan kreativitas siswa, terutama melalui keterlibatan aktif, kolaborasi, dan pemecahan masalah nyata. Disarankan agar strategi pembelajaran lebih difokuskan pada penguatan fleksibilitas berpikir dan inovasi ide guna menciptakan generasi yang kreatif dan kompetitif.
Exploring Students’ Conceptual Understanding of Statistical Physics Through Multi-Source Learning: A Mixed-Methods Study Muhammad Taufik; Muhammad Zuhdi
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 4 (2025): November
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i4.2454

Abstract

Statistical Physics is an intellectually demanding subject that requires students to navigate abstract representations, probabilistic reasoning, and mathematical formalism simultaneously. In today’s learning environment, students naturally rely on multiple learning sources, textbooks, YouTube videos, Google searches, and increasingly, explanations generated by artificial intelligence (AI). This mixed-methods study explores how such multi-source engagement shapes conceptual understanding among 28 undergraduate physics education students enrolled in a Statistical Physics course. Quantitative data were collected through a Conceptual Understanding Test (CUT), a multi-source learning questionnaire, a misconception inventory, and rubric-based artifact analysis. Qualitative data were gathered from interviews and reflective journals. The findings reveal that students’ conceptual understanding falls within a moderate-to-good range (mean CUT score 69.6), although misconceptions persist, particularly regarding entropy, ensembles, and the partition function. Students with strong conceptual understanding tended to integrate multiple learning sources reflectively constructing coherence across representations while weaker students demonstrated fragmented and shallow engagement. The study concludes that multi-source learning has the potential to reinforce conceptual understanding, provided students develop strategies for synthesizing diverse explanations rather than consuming them indiscriminately.
Evaluating the Impact of AI-Generated Prompts on Programming Proficiency in Physics Study Education Program: A Case Study on Computational Physics Tasks Muhammad Taufik; Syahrial A
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 2 (2025): Mei
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i2.3633

Abstract

This study investigates the use of artificial intelligence (AI)-assisted code generation in a computational physics course for physics education students. The study examines students' ability to generate effective prompts for Pascal code, the quality of the generated code, and the resulting computational outputs. A cohort of 28 students was tasked with solving three critical tasks: numerical differentiation, numerical integration, and root-finding. The students' performance was assessed based on three criteria: prompt generation, Pascal code quality, and output quality. Descriptive statistics show that the mean prompt scores for all topics are close to 1.0, with Integration slightly outperforming other topics. Program scores for Integration were higher (mean = 1.25) compared to Differentiation and Root-Finding, suggesting students performed relatively better in Integration tasks. Output scores were closely aligned with program scores, indicating strong student learning transfer. Correlation analysis revealed high relationships between program and output scores, especially for Integration and Root-Finding, highlighting the students’ ability to translate learning into practical applications. Statistical analysis indicates significant variation in student performance across the three tasks, with notable differences in AI-assisted code generation quality. These findings emphasize the varied impact of AI tools on student proficiency in computational tasks.
Integrating Hybrid Learning, YouTube Tutorials, and AI Tools to Enhance Student Engagement and Achievement in Introductory Physics: A Mixed-Methods Study in Mathematics Education Muhammad Taufik; Syahrial A
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 2 (2025): Mei
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i2.3634

Abstract

This study investigates the effectiveness of integrating hybrid learning, YouTube tutorials, and artificial intelligence (AI) tools in improving student engagement and academic performance in an introductory physics course for second-semester mathematics education students. A mixed-methods design was employed, combining quantitative data from pre- and post-tests, usage logs of YouTube and AI platforms, and class participation records, along with qualitative insights from student feedback. Descriptive statistics and inferential analyses reveal a significant improvement in post-test scores, with an average increase of 9 points (from 70.2 to 79.4), indicating the positive impact of the digital learning interventions. Students’ engagement, particularly measured through their interaction with AI-based personalized feedback and video tutorials, correlated strongly with learning outcomes. The findings suggest that leveraging hybrid learning environment supported by visual and adaptive tools can foster deeper understanding of abstract physics concepts and promote active participation.
Pengaruh Model Problem Based Learning Berbantuan Media Digital terhadap Kemampuan Berpikir Kritis dan Hasil Belajar Fisika Sasmita Sari; Muhammad Zuhdi; Muhammad Taufik
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 3 (2025): Agustus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i3.3798

Abstract

Guru memiliki peran penting dalam menyediakan sumber dan strategi belajar yang efektif dalam proses pembelajara. Oleh karena itu, penelitian ini bertujuan untuk mengetahui ada atau tidaknya pengaruh model Problem Based Learning berbantuan media digital terhadap kemampuan berpikir kritis dan hasil belajar fisika. Jenis penelitian ini adalah kuasi eksperimen dengan desain penelitian nonequivalent pretest-postest control group design. Jumlah populasi pada penelitian ini adalah seluruh siswa kelas XI MIPA SMAN 10 Mataram dengan sampel penelitian yaitu kelas XI A MIPA sebagai kelas eksperimen dan kelas XI MIPA B sebagai kelas control. Sampel penelitian diambil dengan cara purposive sampling. Pengumpulan data dilakukan dengan memberikan tes awal dan tes akhir berupa 10 soal hasil belajar ranah kognitif dan 5 soal berpikir kritis setelah diuji validitas, reliabilitas, daya beda, dan taraf kesukaran. Data kemampuan berpikir kritis dan hasil belajar yang terkumpul dianalisis menggunakan uji hipotesis uji MANOVA dengan taraf signifikan p < 0,05. Diperoleh data hasil uji berpikir kritis sebesar sebesar 0,000 < 0,05 dan 0,036 < 0,05. Hal tersebut untuk mengetahui penolakan terhadap H01 maupun H02 untuk hipotesis pertama dan kedua yang telah ditetapkan. Berdasarkan pada perolehan nilai sig 0,000 dan 0,036, menunjukkan bahwa nilai sig < 0,05 sehingga dapat disimpulkan bahwa adanya penolakan terhadap H01 dan H02, sehingga hipotesis Ha1 dan Ha2 yang diharapkan dapat diterima. Berdasarkan hasil uji multivariate test pada perbandingan nilai sig yang diperoleh yaitu 0,000 dengan nilai sig 0,05, menunjukkan nilai sig < 0,05 sehingga dapat disimpulkan adanya penolakan terhadap H03 dan penerimaan terhadap Ha3. Sehingga dapat disimpulkan bahwa terdapat pengaruh model Problem Based Learning berbantuan media digital terhadap kemampuan berpikir kritis dan hasil belajar fisika.
Pengaruh Model Problem Based Learning Berbantuan PhET Simulations Terhadap Kemampuan Berpikir Kritis Siswa Pada Pembelajaran Fisika Candra Wani; I Wayan Gunada; Muhammad Taufik; Hijriat Sholehah
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 3 (2025): Agustus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i3.3895

Abstract

Berpikir kritis merupakan kemampuan penting dalam menghadapi tantangan kompleks di era modern saat ini. Dalam proses pembelajaran dibutuhkan model pembelajaran yang bisa membentuk kemampuan berpikir kritis siswa. Penelitian ini bertujuan untuk mengetahui pengaruh model Problem Based Learning (PBL) berbantuan PhET Simulations terhadap kemampuan berpikir kritis siswa pada pembelajaran fisika kelas XI. Jenis penelitian ini adalah penelitian quasi experiment Populasi pada penelitian ini yaitu suluruh siswa kelas XI MIPA. Pengambilan sampel dilakukan dengan teknik Purposive Sampling dan diperoleh siswa kelas XI-E KMMI sebagai kelas eksperimen dan siswa kelas XI-F KMMI sebagai kelas kontrol. Kelas eksperimen diberikan perlakuan berupa model Problem Based Learning dengan barbantuan PhET Simulations, sedangkan kelas kontrol menggunakan model konvensional. Hasil analisis data menunjukkan bahwa rata-rata kemampuan berpikir kritis siswa kelas eksperimen 51,500, sedangkan kelas kontrol yaitu 43,750. Uji hipotesis dilakukan menggunakan uji-t polled varians menghasilkan nilai thitung sebesar -2,209 dengan ttabel sebesar -2,019 dengan taraf signifikansi sebesar 5%. Analisis data menunjukkan thitung berada pada area negatif dan lebih kecil dari ttabel, maka Ho ditolak dan Ha diterima, menunjukkan adanya perbedaan signifikan antara dua kelas tersebut. Berdasarkan temuan ini, dapat disimpulkan terdapat pengaruh model Problem Based Learning dengan berbantuan PhET Simulations terhadap kemampuan berpikir kritis siswa pada pembelajaran fisika di MAS. DI. PI Nurul Hakim tahun ajaran 2024/2025.
Pengaruh Model Pembelajaran Inkuiri Terbimbing Berbantuan Media Simulasi PhET Terhadap Penguasaan Konsep Peserta Didik Dilla Agustiawati; Muhammad Taufik; Nina Nisrina
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 4 (2025): November
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i4.4174

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran inkuiri terbimbing berbantuan media simulasi PhET terhadap penguasaan konsep peserta didik. Jenis penelitian yang digunakan adalah quasi eksperimen dengan desain penelitian pretest-posttest control group design. Adapun populasi pada penelitian ini yaitu seluruh peserta didik kelas XI di SMAN 1 Lembar yang berjumlah 87 peserta didik. Pengambilan sampel pada penelitian ini menggunakan teknik purposive sampling sehingga diperoleh dua kelas yaitu kelas XI-2T sebagai kelas eksperimen dengan jumlah 29 peserta didik yang menerapkan model inkuiri terbimbing berbantuan media simulasi PhET dan kelas XI-1T sebagai kelas kontrol dengan jumlah 29 peserta didik yang menerapkan model pembelajaran konvensional. Metode pengambilan data dalam penelitian ini menggunakan metode tes penguasaan konsep berupa soal esai yang berjumlah 6 soal yang telah diuji validitas, reliabilitas, taraf kesukaran, dan daya pembeda. Didapatkan nilai rata-rata kelas eksperimen dan kelas kontrol pretest sebesar 23,56 dan 20,31, posttest sebesar 86,21 dan 78,35. Data hasil pretest dan posttest dianalisis menggunakan uji normalitas dan homogenitas sehingga diperoleh data terdistribusi normal dan homogen, dilanjut dengan uji hipotesis menggunakan uji Independent Sampel t-test dan diperoleh bahwa nilai  sebesar 3,44 lebih besar dibandingkan dengan nilai  sebesar 2,00. Nilai hasil uji N-Gain kelas eksperimen sebesar 0,81 dan kelas kontrol sebesar 0,72 dengan kriteria kedua kelas “Tinggi”. Adapun hasil uji N-Gain per indikator penguasaan konsep memiliki peningkatan tetapi pada indikator tertentu mengalami peningkatan yang cukup signifikan. Berdasarkan data diatas, maka dapat disimpulkan bahwa terdapat pengaruh model inkuiri terbimbing berbantuan media simulasi PhET terhadap penguasaan konsep peserta didik.
Integrated Notification System for Smart Parking Security Using Bot Telegram Mohammad Liyananta Septipalan; Ida Bagus Ketut Widiartha; Ariyan Zubaidi; Muhammad Taufik
Jurnal Penelitian Pendidikan IPA Vol 10 No 5 (2024): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i5.7447

Abstract

Notification system for smart parking system is very important for parking security. The purpose of this research is to create a system used in parking security in the technical faculty of mataram university. The method used in this research is the flow of making a notification system using a telegram bot, namely determining the notification using a telegram bot and then creating a telegram bot that will send notifications to security guards, after the bot has been created, then coding the notification system so that the notification can run according to existing rules. The results showed that the notification system made runs according to predetermined rules as seen from the success of sending notifications to the security guard group. The conclusion is that the use of this notification system is a solution to parking security problems. This notification system can provide accurate information to security officers regarding information on vehicle data mismatches and vehicle license plates so that vehicles in the parking area can be monitored.