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All Journal Jurnal Neutrino : jurnal fisika dan aplikasinya JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) Spektra: Jurnal Fisika dan Aplikasinya Metalurgi PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Metalurgi

Riser Fahdiran

Program Studi Fisika, FMIPA Universitas Negeri Jakarta, Jl. Rawamangun Muka No. 01, Rawamangun 13220, Indonesia

Author-ID : 761403

Aerospace Engineering Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Other

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SISTEM PENDETEKSIAN KECEPATAN KENDARAAN MENGGUNAKAN HAAR CASCADE BERBASIS RASPBERRY PI Panji Ahmad Nurhusni; Hadi Nasbey; Riser Fahdiran
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 10 (2022): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2021
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Abstrak Penelitian ini bertujuan mengembangkan sistem yang dapat mengidentifikasi kendaraan di jalan raya dan mendeteksi kecepatan kendaraan-kendaraan tersebut. Sistem ini dikembangkan pada Raspberry Pi menggunakan Python 3.7. Metode pada penelitian ini menggunakan metode Haar cascade untuk melakukan pengidentifikasian dan pelacakan obyek kendaraan pada rekaman video sehingga nilai kecepatan kendaraan dapat diestimasi. Pengujian dilakukan dengan menggunakan rekaman-rekaman video kendaraan di jalan raya dengan variasi nilai kecepatan yang berbeda. Dua metode analisis digunakan untuk mengevaluasi performa sistem dalam mengidentifikasi kendaraan dan mendeteksi kecepatannya. Nilai kecepatan asli dan jumlah kendaraan pada rekaman video dibandingkan dengan nilai yang dideteksi untuk mengukur performa sistem. Pengidentifikasian kendaraan dengan metode Haar cascade memperoleh nilai precision sebesar 96,32% dan nilai recall sebesar 96,91%. Pendeteksian kecepatan kendaraan yang dilakukan dengan program ini memperoleh nilai rata-rata error sebesar 3,37% dengan rata-rata rentang sebesar ±1,72 km/jam. Kata-kata kunci: pendeteksian citra, pendeteksian kecepatan kendaraan, Haar cascade, Raspberry Pi. Abstract This study aimed to develop a system to identify vehicles on the highway and detect their speed. The system is developed on Raspberry Pi 2 using Python 3.7. In this study, Haar cascade is used to identify and track the vehicle objects on video records so that the speed can be measured. The program was tested using videos that show vehicle movement on the highway with various speed values. Two analysis methods were used to evaluate the performance of the system in identifying vehicles and detect their speed. The actual vehicle speed and the actual amount of vehicles on the video records were compared with the detected values to measure the system’s performance. Vehicle identification using Haar cascade on this research obtains 96,32% precision and 96,91 recall. Vehicle speed detection using this program obtains 3,37% average error with interval of ±1,72 km/hours. Keywords: image detection, vehicle speed detction, Haar cascade, Raspberry Pi.

PENGEMBANGAN E-MODUL ASTROFISIKA SEBAGAI MODUL PENDAMPING PERSIAPAN KSN ASTRONOMI Veronica Julianti; Andreas Handjoko Permana; Riser Fahdiran
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 10 (2022): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2021
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Abstrak Materi astronomi dalam kurikulum 2013 sangat sedikit dan kurang mendalam. Namun minat siswa dalam mempelajari astronomi terlihat cukup banyak. Ini terlihat dalam banyaknya peminat yang ikut dalam Kompetisi Sains Nasional (KSN) Astronomi. Penelitian ini bertujuan untuk mengembangkan E-Modul Astrofisika yang layak digunakan sebagai modul pendamping KSN Astronomi. Metode yang digunakan dalam penelitian ini adalah Penelitian dan Pengembangan (R&D) dengan model 4D (Define, Design, Develop, Disseminate). Dari angket yang disebar ke siswa peminat astronomi bahwa kesulitan utama adalah kurangnya sumber belajar dan materi yang tersulit adalah astrofisika dan astronomi bola. Sedangkan dari angket ke guru-guru pembimbing KSN Astronomi juga menyatakan sulitnya sumber belajar. Uji kelayakan e-modul dalam bentuk flipbook divalidasi oleh ahli materi, ahli media dan diujicobakan kepada guru pamong KSN Astronomi serta pengujian secara online kepada kelompok kecil yang terdiri atas 10-15 orang. Dari hasil penelitian, diperoleh E-Modul Astrofisika yang layak untuk dipakai sebagai bahan persiapan KSN Astronomi. Kata-kata kunci: e-modul, Astrofisika, KSN Astronomi Abstract The material of astronomy in the 2013 curriculum is very few and lacks depth. However, students' interest in studying astronomy looks quite large. This can be seen from the number of students who take Kompetisi Sains Nasional (KSN) Astronomy. This study aims to develop an Astrophysics E-Modul that is suitable for use as a companion module for KSN Astronomy. The method used in this research is Research and Development (R & D) with 4D model (Define, Design, Develop, Disseminate). From the questionnaires distributed to astronomy enthusiast students that the main difficulty was the lack of learning resources and the most difficult material is astrophysics and spherical astronomy. Meanwhile, from the questionnaire to the KSN Astronomy guidance teachers, they also stated the difficulty of learning resources. The eligibility test of the e-module in the form of a flipbook was validated by material experts, media experts and tested on KSN Astronomy teachers as well as online testing to a small group of 10-15 people. From the results of the research, obtained E-Astrophysics Module that is suitable to be used as preparation material for KSN Astronomy. Keywords: e-Module, astrophysics, KSN Astronomy

PENGEMBANGAN E-MODUL FISIKA DENGAN PENDEKATAN SCIENCE, TECHNOLOGY, ENGINEERING, MATHEMATIC (STEM) BERBASIS PROJECT BASED LEARNING (PjBL) PADA MATERI MEDAN MAGNET Fransiska Putri Novelia; Raihanati Raihanati; Riser Fahdiran
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 10 (2022): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2021
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Abstrak Tujuan dari penelitian ini adalah mengembangkan e-modul fisika dengan pendekatan Science, Technology, Engineering, Mathematic (STEM) berbasis Project Based Learning (PjBL) pada materi medan magnet. Metode yang digunakan dalam penelitian ini adalah Research and Development dengan pendekatan model ADDIE (Analysis, Design, Development, Implementation, and Evaluation). E-modul dengan pendekatan STEM yang dihasilkan berbasis Project Based Learning yaitu pendekatan pembelajaran yang menggunakan proyek atau kegiatan sebagai media bagi peserta didik, dan memungkinkan peserta didik memperoleh pengalaman belajar yang lebih realistik (nyata). Konten e-modul ini mensintesakan antara pendekatan STEM dengan metode pembelajaran Project Based Learning yang pada akhirnya peserta didik dapat melakukan eksplorasi, penilaian, interpretasi, sintesis, dan informasi, untuk menghasilkan sebuah project yang didalamnya terdapat 4 unsur dari STEM. E-modul ini dapat diakses menggunakan laptop atau smartphone yang terhubung dengan jaringan internet. E-modul yang dihasilkan memberikan hasil validasi yang layak untuk digunakan dalam membantu proses pembelajaran. Terdapat peningkatan dalam penilaian hasil belajar siswa pada topik yang dibahas. Kata-kata kunci: e-modul, STEM, Project Based Learning, Medan Magnet. Abstract The purpose of this research is to develop an e-physics module with a Project-Based Learning (PjBL) based Science, Technology, Engineering, Mathematical (STEM) approach on magnetic field material. The method used in this research is Research and Development with the ADDIE model approach (Analysis, Design, Development, Implementation, and Evaluation). E-modules with a STEM approach are produced based on Project Based Learning. This learning approach uses projects or activities as a medium for students to get a more realistic learning experience. The content of this e-module synthesizes the STEM approach with the Project-Based Learning learning method. In the end, students can explore, assess, interpret, synthesize, and information, to produce a project in which there are four elements of STEM. This e-module can be accessed using a laptop or smartphone connected to the internet. The resulting e-module provides valid validation results to be used in helping the learning process. There is an increase in the assessment of student learning outcomes on the topics discussed. Keywords: E-module, STEM, Project Based Learning, Magnetic Field.

PERUBAHAN STRUKTUR ELEKTRONIK MATERIAL CoCl2 MONOLAYER TERHADAP MEDAN LISTRIK: KAJIAN KOMPUTASIONAL BERBASIS DENSITY FUNCTIONAL THEORY Alma Nurlita Widyani; Riser Fahdiran; Teguh Prayitno
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 11 (2023): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2022
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/03.1101.FA20

Abstrak Simulasi komputasi telah banyak digunakan untuk penelitian sifat fisis dan properti dari material dengan memodelkan sistem fisisnya ke dalam algoritma komputasi. Seperti yang dikerjakan pada penelitian ini, dalam mengkaji pengaruh Spin-Orbit Interactions (SOI) dan medan listrik eksternal terhadap struktur elektronik CoCl2 monolayer, dilakukan perhitungan berbasis Density Functional Theory (DFT) dengan fungsi energi pertukaran elektron Generalized Gradient Approximation (GGA) pada openMx. Hasilnya menunjukkan pada keadaan energi dasar, CoCl2 monolayer bersifat semikonduktor dengan celah pita langsung. Celah pita energi berkurang dalam pengaruh Spin-Orbit Interaction (SOI) di titik K. Selain itu, penambahan medan listrik eksternal menyebabkan terjadinya transisi sifat elektronik dari semikonduktor celah pita langsung ke celah pita tidak langsung dan kemudian menjadi logam. Penggabungan antara Spin-Orbit Interaction dengan medan listrik menyebabkan semakin cepatnya transisi sifat elektronik yang dialami CoCl2 monolayer. Kata Kunci. CoCl2 monolayer, struktur elektronik, spin-orbit interaction, Density Functional Theory Abstract Computational simulation has been widely used for research on physical properties and properties of materials by modeling the physical system into a computational algorithm. As done in this research, in studying the effect of Spin-Orbit Interactions and external electric field on the electronic structure of CoCl2 monolayer, Density Functional Theory based calculations were carried out with the Generalized Gradient Approximation (GGA) electron exchange energy function on openMx. The results show that in the ground energy state CoCl2 monolayer is a semiconductor with a direct band gap. The band gap energy is reduced under the influence of Spin-Orbit Interaction at K point. Furthermore, the addition of an external electric field causes the transition of electronic properties from direct band gap semiconductor to indirect band gap and then to metal. And by combining the Spin-Orbit Interaction with an external electric field, it can make the transition of electronic properties in CoCl2 monolayer become faster. Keywords: CoCl2 monolayer, electronic structure, spin-orbit interaction, Density Functional Theory

Deposisi Lapisan Fe-Si-Al-Mg pada Baja Karbon dengan Teknik Pemaduan Mekanik [Deposition of Fe-Si-Al-Mg Coatings Using Mechanical Alloying Technique] Lusita Lusita; Riser Fahdiran; Toto Sudiro; Bambang Hermanto
Metalurgi Vol 34, No 1 (2019): Metalurgi Vol. 34 No. 1 April 2019
Publisher : National Research and Innovation Agency (BRIN)

Fe-Si-Al-Mg coatings by weight variation of ferrosilicon, Mg, and Al as 50(Fe-Si)-37.5Al-12.5Mg, 50(Fe-Si)-25Al-25Mg, and 50(Fe-Si)-12.5Al-37.5Mg have been prepared on low carbon steel substrate using the mechanical alloying technique. The coatings were studied using XRD (x-ray diffractometer) to comprehend the phase formed on the substrate and OM (optical microscopy) to measure the coating thickness. Based on XRD and OM characterization, Fe-Si-Al-Mg coatings were successfully deposited on the low carbon steel substrate. Fe-Si-Al-Mg layers are composed by intermetallic phases of FeSi2, Mg2Si, and Al0.7Fe3Si0.47. Each composition shows different coating thickness that tends to decreases with the increase of magnesium concentration and the reduction of aluminum concentration. AbstrakLapisan Fe-Si-Al-Mg dengan variasi berat ferrosilicon, Mg dan Al yaitu 50(Fe-Si)-37.5Al-12.5Mg, 50(Fe-Si)-25Al-25Mg, dan 50(Fe-Si)-12.5Al-37.5Mg telah dipreparasi pada substrat baja karbon rendah dengan menggunakan teknik pemaduan mekanik (mechanical alloying). Struktur dari lapisan Fe-Si-Al-Mg dipelajari menggunakan XRD (X-ray Diffraction) untuk mengetahui fasa yang terbentuk dan OM (Optical Microscope) untuk mengetahui ketebalan lapisan yang didapatkan. Hasil X-ray Diffraction dan Optical Microscope menunjukkan bahwa lapisan Fe-Si-Al-Mg telah berhasil dideposisikan pada substrat baja karbon rendah. Lapisan Fe-Si-Al-Mg yang terbentuk memiliki fasa intermetalik FeSi2, Mg2Si dan Al0.7Fe3Si0.47. Setiap komposisi menunjukkan ketebalan lapisan yang berbeda. Ketebalan lapisan cenderung menurun dengan meningkatnya konsentrasi magnesium dan berkurangnya konsentrasi aluminium.

“Elektrotektif”: An Educational Game to Explore Electricity Concept Using Case-Based Learning Muliyati, Dewi; Milenia, Rizka; Fahdiran, Riser
Jurnal Penelitian & Pengembangan Pendidikan Fisika Vol 8 No 2 (2022): JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika), Volume 8 Issue 2, D
Publisher : Program Studi Pendidikan Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/1.08210

Learning physics is relevant to many cases in everyday life. Various media have been developed for physics learning, e.g., educational games. Educational games can be used as a way to motivate students who are mostly digital natives who were born and grew up in an all-digital environment. This research aims to produce a case-based educational game on electricity called Elektrotektif. This study used the research and development method with the ADDIE model. The result is an investigative game in which there are cases related to electricity in daily life, such as short circuits, electrocution, and electrostatic discharge. The quantitative evaluation results in a value of 86.5% for aspects validation of learning media, and the results from the user were 86%, with the interpretation “very good” to be used as learning companion media. Learning by using cases in a game can help students connect to real-world situations and provide solutions to physical events that excitingly occur around them.

IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA Nurahman, Wildan; Ali, Abdullah; Fahdiran, Riser
Spektra: Jurnal Fisika dan Aplikasinya Vol. 8 No. 3 (2023): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 8 Issue 3, December 2023
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.083.05

Weather radar is an active remote sensing instrument for various hydrological and meteorological applications. One advantage of weather radar is its ability to detect rainfall in space and time with high spatial resolution. However, one of the issues that contaminate radar observations is ground clutter. Ground clutter is a signal or echo from non-meteorological objects on the earth’s surface that are stationary in the time domain. Detecting and mitigating clutter effects is crucial to achieve precise weather measurements. This research aims to implement the Gabella and random forest methods to detect ground clutter in Padang weather radar data and determine the optimal method between the two. The implementation of the Gabella method for detecting ground clutter in Padang weather radar data was suboptimal. This was due to the most duplicated data at the same point being only 15.97% of the total data. Meanwhile the random forest method obtained a kappa value of 92.03%. This indicates that the random forest model created using 2000 trees as the parameter performs well. Based on these results, the random forest method identified as the most optimal approach for detecting ground clutter in Padang weather radar data.

PENENTUAN LOKASI TERBAIK UNTUK ESTIMASI CURAH HUJAN BERDASARKAN EFEK PARALAKS DAN SUHU PUNCAK AWAN MENGGUNAKAN DATA SATELIT HIMAWARI-8 (STUDI KASUS DI WILAYAH INDONESIA BAGIAN TENGAH) Jonathan, Hibar Nugraha; Endarwin, Endarwin; Fahdiran, Riser
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 12 (2024): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2023
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/03.1201.FA07

Abstrak Kondisi cuaca khususnya hujan dapat mempengaruhi aktivitas manusia, maka upaya untuk melakukan prediksi terhadap kondisi cuaca menjadi alternatif yang dapat dilakukan untuk mengantisipasi kemungkinan yang akan terjadi. Pengamatan curah hujan dilakukan dengan alat pencatat curah hujan automatis/Automatic Rain Gauge (ARG) untuk wilayah tertentu dan menggunakan satelit Himawari-8 atau Himawari-9 untuk cakupan yang lebih luas berdasarkan suhu puncak awan. Namun, satelit Himawari-8 atau Himawari-9 merupakan satelit geostasioner yang memiliki efek paralaks yaitu kesalahan dalam pembacaan data curah hujan di suatu wilayah yang berbeda dengan wilayah atau objek pengamatan yang sebenarnya. Penelitian ini menggunakan korelasi Pearson untuk menganalisis korelasi antara curah hujan ARG dengan data suhu puncak awan. Dari korelasi yang dihasilkan menunjukkan bahwa lokasi terbaik untuk estimasi curah hujan berada pada 10-15 km ke arah barat laut dari daerah pengamatan (ARG) wilayah Tomohon, 2,5-5 km ke arah barat daya dari daerah pengamatan (ARG) wilayah Kolaka, dan 10-15 km ke arah barat daya dari daerah pengamatan (ARG) wilayah Bajawa. Sedangkan untuk model regresi linier memiliki nilai korefisien determinasi (R2) sebesar 0.170006503893808 dan nilai MAPE yang memiliki nilai error yang sangat tinggi sehingga model ini tidak cocok untuk prediksi curah hujan berdasarkan data yang digunakan. Kata-kata kunci: Curah hujan, suhu puncak awan, Korelasi Pearson, efek paralaks. Abstract Weather conditions, especially rain can affect human activities, so works to make predictions about weather conditions are an alternative that can be done to anticipate the possibility that will occur. Rainfall observations were using Automatic Rain Gauge (ARG) for certain areas and using the Himawari-8 or Himawari-9 satellite for wider coverage based on cloud top temperatures. However, the Himawari-8 or Himawari-9 satellite is a geostationary satellite which has parallax effect, which have error in reading rainfall data in area that is different from the actual area or object of observation. This research uses Pearson correlation would be analyzed the correlation between ARG rainfall and cloud top temperature data. The resulting correlation shows that the best location for estimating rainfall is 10-15 km to the northwest of the observation area (ARG) of the Tomohon area, 2.5-5 km to the southwest of the observation area (ARG) of the Kolaka, and 10-15 km to the southwest of the observation area (ARG) of Bajawa area. Whereas the linear regression model has a coefficient of determination (R2) of 0.170006503893808 and the MAPE values have very high error values so this model is not suitable for predicting rainfall based on the data used. Keywords: Rainfall, cloud-top temperatures, Pearson Correlation, parallax effect.

IDENTIFIKASI LOKASI TERBAIK PENGGUNAAN DATA SATELIT HIMAWARI-8 DALAM ESTIMASI CURAH HUJAN BERDASARKAN PERMASALAHAN PARALAKS DAN SUHU PUNCAK AWAN (STUDI KASUS DI WILAYAH INDONESIA BAGIAN BARAT) Ghufron, Galih Muhammad; Endarwin, Endarwin; Fahdiran, Riser
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 12 (2024): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2023
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/03.1201.FA08

Abstrak Dampak yang diberikan oleh kondisi cuaca terutama hujan bisa dirasakan secara signifikan terhadap aktifitas manusia. Pencatatan data curah hujan dilakukan dengan Automatic Rain Gauge (ARG) untuk daerah tertentu, sedangkan untuk cakupan yang lebih luas menggunakan satelit cuaca geostasioner. Namun, satelit cuaca geostasioner dalam kasus ini Himawari-8 memiliki kendala efek Paralaks yang dapat mempengaruhi pembacaan data citra satelit. Penelitian ini menggunakan metode Korelasi Pearson dan Regresi Linier untuk membangun model estimasi curah hujan berdasarkan suhu puncak awan. Hasil menunjukkan bahwa suhu puncak awan yang memiliki korelasi terbaik dengan curah hujan terletak pada posisi 10-15 km arah barat laut dari daerah pengamatan (ARG) di wilayah Cot Girek, 5-10 km arah barat dari daerah pengamatan (ARG) di wilayah Meranti, dan 5-10 km arah barat daya dari daerah pengamatan di wilayah Ciomas. Sementara untuk model regresi linier tidak akurat untuk data yang digunakan dengan nilai koefisien korelasi (R2) sebesar 0,2003 dan Mean Absolute Percentage Error (MAPE) yang sangat tinggi. Oleh karena itu, metode machine learning Regresi Linier kurang dapat diaplikasikan untuk data yang digunakan. Kata-kata kunci: Curah hujan, suhu puncak awan, Korelasi Pearson, Efek Paralaks, Regresi Linier. Abstract The impact of weather conditions especially rainfall can significantly affect human activities. Rainfall data is recorded using an Automatic Rain Gauge (ARG) for specific areas, while geostationary weather satellites are used for broader coverage. However, geostationary weather satellites in this case Himawari-8 have the constraint of parallax effects that can influence satellite image data readings. This research utilizes the Pearson Correlation and Linear Regression methods to develop a rainfall prediction model based on cloud-top temperature. The results indicate that the cloud-top temperature with the best correlation to rainfall is located at a position 10-15 km northwest of the observation area (ARG) in the Cot Girek region, 5-10 km west of the observation area (ARG) in the Meranti region, and 5-10 km southwest of the observation area in the Ciomas region. However, the linear regression model is not accurate for the data used, with a coefficient of determination (R2) value of 0.2003 and a very high Mean Absolute Percentage Error (MAPE). Therefore, the linear regression method is not suitable for the data used. Keywords: Rainfall, cloud-top temperatures, Pearson Correlation, Parallax effect, Linear Regression.

Cloud-Based Teaching Tool of AlCu Band Gap Simulations Using GPAW: A Python-Driven Approach for Undergraduate Student Susila, Anggara Budi; Suhendar, Haris; Fahdiran, Riser
Jurnal Penelitian & Pengembangan Pendidikan Fisika Vol. 11 No. 1 (2025): JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika), Volume 11 Issue
Publisher : Program Studi Pendidikan Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/1.11105

This work introduces a computational teaching module that leverages Python, Google Colab, and the GPAW package to simulate the electronic band structure of AlCu materials. While powerful, traditional Density Functional Theory (DFT) tools like Quantum ESPRESSO or VASP often present steep learning curves and software installation challenges. By contrast, GPAW operating within Python and its seamless integration with Google Colab provides a user-friendly, platform-independent environment for students to explore quantum simulations without local setup requirements. The simulation workflow is highly efficient, with key processes such as structure creation taking only 7 milliseconds, structural relaxation requiring 51.2 seconds, and band structure calculations completing in just 40 seconds. In this educational framework, students model AlCu and its doped variants, visualize band structures, and analyze changes in the electronic properties induced by doping. The approach supports active learning and reinforces core solid-state physics, quantum mechanics, and computational materials science topics. Sample notebooks, learning outcomes, and classroom integration strategies are presented, aiming to democratize access to DFT education through open-source, cloud-based tools.

Co-Authors A. Handjoko Permana Agung Aji Saputro Ali Sabeni Alma Nurlita Widyani Anggita Prasanti Ardiyani, Yudithia Ayu Gustiara Pasyah Aziz, Fauzan Abiyyu B. H. Iswanto Bambang Hermanto Bambang Hermanto Dewi Muliyati Diah Kusumawardhani Endarwin, Endarwin Erfan Handoko Esmar Budi Esmar Budi Esmar Budi Fransiska Putri Novelia Ghufron, Galih Muhammad Habiburosid Hadi Nasbey Haris Suhendar Iswatun Khasanah Iwan Sugihartono Izrul Supriyadi Jonathan, Hibar Nugraha Lilis Sri Kurniastuti Lory Inggi Lusita Lusita Lusita Lusita Mangasi Alion Marpaung Maulidatul Khasanah Milenia, Rizka Natasya Cynthia Tamara Noviana Pratiwi Nurahman, Wildan Nurul Annisa Kumalahardiyani Nurul Aulia Panji Ahmad Nurhusni Raden Mohamad Herdian Bhakti Raihanati Raihanati Riky Tri Hartagung Rustana, Cecep E Saptari, Sitti Ahmiatri Sartika Tesalonika Simanjuntak Siswoyo Siswoyo Siswoyo Siswoyo Sunaryo Sunaryo Sunaryo Sunaryo Supriyati, Yetti Susila, Anggara Budi Teguh Prayitno Toto Sudiro Toto Sudiro Veronica Julianti Widya Sawitar Widyaningrum Indrasari Wisnu Satria Budi Yetti Supriyati

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