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PENDEKATAN DEEP LEARNING UNTUK MEMPREDIKSI ENERGI KEADAAN DASAR BERDASARKAN POTENSIAL OSILATOR HARMONIK SEDERHANA DUA DIMENSI Jaelani, Achmad; Prayitno, Teguh Budi; Sarwono, Yanoar Pribadi
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.FA38

Abstrak Penelitian ini mengusulkan pendekatan deep learning untuk memprediksi energi keadaan dasar elektron berdasarkan potensial osilator harmonik sederhana dua dimensi dari persamaan Schrödinger. Metode ini menggunakan jaringan saraf konvolusi untuk mempelajari hubungan antara potensial dan energi keadaan dasar. Dataset osilator harmonik sederhana dihasilkan dengan fungsi skalar dimana parameter-parameter dihasilkan secara acak. Kinerja pendekatan yang diusulkan dibandingkan dengan metode numerik, seperti metode beda hingga. Hasil yang diperoleh menunjukkan bahwa pendekatan deep learning lebih efisien dan akurat dalam memprediksi energi keadaan dasar berdasarkan potensial osilator harmonik sederhana dua dimensi. Model mendapatkan mean squared error sebesar 6.37×10-7 mHa pada data uji. Pendekatan ini memiliki potensi aplikasi dalam berbagai bidang, seperti ilmu material, komputasi kimia, dan mekanika kuantum. Kata-kata kunci: Deep Learning, Persamaan Schrödinger, Energi Keadaan Dasar. Abstract This research proposes a deep learning approach to predict the ground state energy of an electron based on the two-dimensional simple harmonic oscillator potential of the Schrödinger equation. The approach uses convolutional neural networks to learn the relationship between the potential and the ground state energy. The simple harmonic oscillator dataset is generated with a scalar function where the parameters are randomly generated. The performance of the proposed approach is compared with numerical methods, such as the finite difference methods. The results show that the deep learning approach is more efficient and accurate in predicting the ground state energy based on the two-dimensional simple harmonic oscillator potential, achieving a mean squared error of 6.37×10-7 mHa on the test data. This remarkable performance demonstrates the potential of the proposed approach for applications in various fields, including material science and quantum mechanics. Keywords: Deep Learning, Schrödinger Equation, Ground State Energy.

Tuning the magnetic states in AA-stacked bilayer zigzag graphene nanoribbons Prayitno, Teguh Budi
Communications in Science and Technology Vol 7 No 1 (2022)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.7.1.2022.823

Available reports mentioned that the magnetic ground state in the AA-stacked bilayer zigzag graphene nanoribbons is the non-magnetic state. As a consequence, it is impossible to exploit magnetism for future electronic devices. This paper aims to show how to generate magnetism in the AA-stacked bilayer zigzag graphene nanoribbons by employing ?rst-principles calculations. As we stacked different ribbon widths, the magnetic ground states appeared for all the thicknesses. In general, the G-type antiferromagnetic state, which is the antiferromagnetic alignment between both intraplane- and interplane-edge carbon atoms, is the ground state for all the thicknesses. We also found that the degenerate magnetic ground states and excited states may appear under certain thicknesses, thus yielding the richness of the magnetic state. As hole-electron doping was applied, a phase transition of magnetic ground state emerged for certain thicknesses, indicating that a new magnetic ground state in the AA-stacked bilayer zigzag graphene nanoribbons can be tuned by the doping.

EFFECT OF HIGH CURRENT DENSITY ON THE MORPHOLOGY OF NI/TIN/ALN COMPOSITE LAYERS USING PULSE ELECTRODEPOSITION METHOD: PENGARUH RAPAT ARUS TINGGI PADA MORFOLOGI LAPISAN KOMPOSIT NI/TIN/ALN DENGAN METODE ELEKTRODEPOSISI ARUS PULSA Dhea Laila Putri Afifah; Esmar Budi; Teguh Budi Prayitno
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 13 (2025): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2024
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: 10.21009/03.1301.FA26

Pulse current for electrodeposition has the advantage of forming smaller grain sizes, porosity and homogeneity, thus having an impact on improving material properties. In this research, the composition of the electrolyte solution that will be used are NiCl2.6H2O 0.17 M, NiSO4.6H2O 0.38 M, TiN 6 gr/L, AlN 10gr/L, H3BO3 0.49 M, and Sodium Dodecyl Sulfate (SDS) 0.6 gr/L. Platinum (Pt) will be used on the counter electrode and Tungsten Carbide (WC) will be used on the working electrode. Variations in pulse current density that will be used are 1 mA/mm2 and 1.2 mA/mm2. The electrodeposition process will be carried out for 30 minutes at 40°C temperature and stirring rate 600 rpm. After the electrodeposition process, morphological characterization was examinated using a Scanning Electron Microscope (SEM). SEM results at 1000x magnification show that at variations in pulse current density of 1 mA/mm2 the particle size is larger, the distribution of particles is quite even, there are neither cracks nor visible agglomeration on the substrate surface, whereas at a current density of 1.2 mA/mm2 ,the particles look smaller, the particles are evenly distributed, there are neither visible cracks nor agglomerations on the substrate surface, so the surface looks smoother. The results show that as the current density increases, the layer surface morphology will become smoother.

MORPHOLOGY AND COMPOSITION FORMATION IN NICKEL SILICON NITRIDE (NI/SI3N4) COMPOSITE LAYERS USING PULSE ELECTRODEPOSITION METHOD: PEMBENTUKAN MORFOLOGI DAN KOMPOSISI PADA LAPISAN KOMPOSIT NICKEL SILICON NITRIDE ( NI/SI3N4 ) MENGGUNAKAN METODE ELEKTRODEPOSISI ARUS PULSA Irsya Luthfiah Ramadhyagita; Esmar Budi; Teguh Budi Prayitno
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 13 (2025): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2024
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: 10.21009/03.1301.FA27

Metal plating is commonly used in industry to modify surface morphology without altering its original properties. A composite Ni/Si3N4 layer on Tungsten Carbide (WC) was formed using a current density of 0.25 mA/mm2 to analyze the surface morphology and composition of the Ni/Si3N4 composite layer. The formation process employed the pulsed current electrodeposition method at a temperature of 40°C, with a stirring rate of 600 rpm for 1 hour. The solution composition included 0.38 M Ni2SO4·6H2O, 0.17 M Ni2Cl2·6H2O, 0.6 g/L Si3N4, 0.6 g/L SDS (Sodium Dodecyl Sulfate), and 0.49 M H3BO3. The results showed the presence of Ni and Si metal elements with mass compositions of 85.17% and 0.82%, respectively. Surface morphology scanning revealed a smooth surface with slight agglomeration on the substrate.

DESIGN AND DEVELOPMENT OF A PULSE GENERATOR SYSTEM FOR THE FORMATION AND CHARACTERIZATION OF Ni-TiN/Si3N4 COMPOSITE LAYERS USING PULSE CURRENT DENSITY ELECTRODEPOSITION METHOD: RANCANG BANGUN SISTEM PULSE GENERATOR UNTUK PEMBENTUKAN DAN KARAKTERISASI LAPISAN KOMPOSIT Ni-TiN/Si3N4 DENGAN METODE ELEKTRODEPOSISI RAPAT ARUS PULSA Arsyan Fadilah; Esmar Budi; Teguh Budi Prayitno
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 13 (2025): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2024
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: 10.21009/03.1301.FA29

This research aims to make a pulse generator system and test the design results in the electrodeposition process by analyzing the composition and surface morphology of the Ni-TiN/Si3N4 composite layer formed. The Ni-TiN/Si3N4 coating is used because it can increase hardness, seal diffusion to the substrate, and prevent oxidation at high temperatures. Tungsten carbide (WC) is coated to reduce wear, improve the surface, increase adhesion, and strength of the substrate without changing the original properties. Pulse current electrodeposition uses Pulse Width Modulation (PWM) circuit with IC 555 as pulse generator. The result of the Pulse Generator system design is a pulse wave that can be adjusted by adjusting the duty cycle value using a potentiometer and can be observed using an oscilloscope, and the pulse height or output current can be adjusted as needed and can be measured using a multimeter. The electrodeposition process was carried out for 30 minutes at 40ºC with a stirring rate of 600 rpm. Morphological scanning using a Scanning Electron Microscope (SEM) showed a rough surface, uneven particle size distribution, and agglomeration in the formed layer. Energy Dispersive Spectroscopy (EDS) scanning results showed the success of the coating formed with the presence of Ni, TiN, and Si3N4 metal elements with a thickness of 2.7191 μm.

MORPHOLOGICAL ANALYSIS AND COMPOSITION OF NICKEL LAYER USING PULSE CURRENT ELECTRODEPOSITION: ANALISIS MORFOLOGI DAN KOMPOSISI LAPISAN NIKEL MENGGUNAKAN ELEKTRODEPOSISI RAPAT ARUS PULSA Bayyinah; Esmar Budi; Teguh Budi Prayitno
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 13 (2025): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2024
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

In this study, Nickel layers were deposited on a Tungsten Carbide (WC) substrate using pulse current densities of 0.35 and 0.4 mA/mm2. The Nickel deposition was performed by electrodeposition for 30 minutes at a temperature of 40°C with a stirring rate of 600 rpm. Based on the SEM characterization results, the Nickel layer at a magnification of 1000x showed that at a current density of 0.35 mA/mm2, the particle distribution was uniform, with no cracks or agglomeration on the substrate surface, and the particles were larger and more homogeneous. In contrast, at a current density of 0.4 mA/mm2, the particle distribution was less uniform, there were no cracks or agglomeration on the substrate surface, and the particles appeared smaller and homogeneous, resulting in a smoother Nickel layer surface. The EDS scanning results indicated the successful formation of the Nickel layer, with the presence of Ni metal content, which increased with the current density from 0.35 to 0.4 mA/mm2.

Application of Variational Quantum Eigensolver for Ground State Energies Calculation in Hydrogen and Helium Atomic Sequences Hakim, Difa Farhani; Prayitno, Teguh Budi; Sarwono, Yanoar Pribadi
Spektra: Jurnal Fisika dan Aplikasinya Vol. 9 No. 3 (2024): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 9 Issue 3, December 2024
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.093.03

Exponential scaling presents a significant challenge in electronic structure calculations performed on classical computers. This paper explores how quantum computer algorithms can accurately represent quantum systems. Variational Quantum Eigensolver (VQE) algorithm is used to compute the ground state energy of hydrogen and helium sequences by implementing variational principle and quantum gates as trial wavefunction. This technique combines classical optimization with quantum computing calculations to simulate quantum systems on noisy and resource-limited computers. The resulting calculated energy is highly consistent to the corresponding exact values and Hartree-Fock calculations with a trend of when the number of atoms increases the calculated energy becomes more negative, leading to a decrease in the percentage error. Moreover, the convergence of the ground state energy of hydrogen and helium atoms was effectively optimized. The desired energy was reached, proven by adjusting the expectation value, and gradually achieving unity in state overlap. These findings demonstrate the VQE method's accuracy in calculating simple quantum systems and its scalability for larger atomic and molecular system, such as those in quantum chemistry and material science. However, challenges in quantum computer simulations, such as limited in qubit numbers and the presence of noise, require further advancements. Therefore, implementing a larger basis sets, advanced qubit mapping, specific chemistry ansatz, and flexible optimization techniques is one way to improve overall calculation.

Pemetaan dan Optimalisasi UMKM pada Era Post-Pandemi COVID-19: Pendekatan Analisis Media Sosial Susanti, Dwi; Fitri, Upik Rahma; Prayitno, Teguh Budi; Suhendar, Haris; Sabrina, Putri Marsha; Maulana, Slamet; Nurhasanah, Gina; Budiawan, Muhammad Ardi
Mitra Teras: Jurnal Terapan Pengabdian Masyarakat Vol. 4 No. 1 (2025): Mitra Teras: Jurnal Terapan Pengabdian Masyarakat, Volume 4 Number 1, June 2025
Publisher : PT. Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/

This also tends to justify the approach of social media analysis as a highly effective tool for mapping and optimally developing UMKM in the post-pandemic era. COVID-19. From the analysis, social media has become an important supporting medium for marketing activities and the development of the marketing area for UMKM. Dominantly, Instagram and Facebook serve as media for promotion, while WhatsApp is used for direct communication with customers.and data collected from platforms such as Facebook, Instagram, and TikTok, this research highlights trends in customer engagement, marketing effectiveness, and brand visibility. The main findings of this research indicate that UMKM adopting data-driven strategies on social media achieve high customer retention, better market penetration, and increased revenue. Additionally, this study demonstrates how social media strategies can be further optimized and explains in detail the quality of content, frequency, and targeting in attracting customers online. This research reveals the potential of social media analysis and thus can provide actionable recommendations to empower UMKM towards resilience and competitiveness in the digital economy. The findings emphasize the importance of integrating digital tools for sustainable development in the post-pandemic era. Abstrak Pandemi COVID-19 memberikan dampak besar pada keberlanjutan operasional dan keuangan UMKM, memaksa beberapa di antaranya berada dalam situasi keterpurukkan ekonomi dengan resiko tinggi. Pandemi COVID-19 secara tidak langsung berperan dalam memajukan platform digital seperti media sosial yang menjadi alat promosi UMKM. Penelitian ini mencoba memetakan dan mengoptimalkan kinerja UMKM pada era post-pandemi dengan bantuan analisi media sosial. Menggunakan data yang dikumpulkan dari platform seperti Facebook, Instagram, dan TikTok, penelitian ini menyoroti tren keterlibatan pelanggan, efektivitas pemasaran, dan visibilitas merek. Temuan utama dari penelitian ini menunjukkan bahwa UMKM yang mengadopsi strategi berbasis data di media sosial mencapai retensi pelanggan yang tinggi, penetrasi pasar yang lebih baik, dan peningkatan pendapatan. Selain itu, studi ini menunjukkan bagaimana strategi media sosial dapat dioptimalkan lebih lanjut dan menjelaskan secara rinci tentang kualitas konten, frekuensi, dan target dalam memikat pelanggan secara online. Penelitian ini mengungkap potensi analisis di media sosial dan dengan demikian dapat memberikan rekomendasi yang dapat ditindaklanjuti untuk memberdayakan UMKM menuju ketahanan dan daya saing dalam ekonomi digital. Temuan tersebut menekankan betapa pentingnya integrasi alat digital untuk pembangunan berkelanjutan dalam menghadapi era post-pandemi.

Pemetaan dan Optimalisasi UMKM pada Era Post-Pandemi COVID-19: Pendekatan Analisis Media Sosial Susanti, Dwi; Fitri, Upik Rahma; Prayitno, Teguh Budi; Suhendar, Haris; Sabrina, Putri Marsha; Maulana, Slamet; Nurhasanah, Gina; Budiawan , Muhammad Ardi
Mitra Teras: Jurnal Terapan Pengabdian Masyarakat Vol. 4 No. 1 (2025): Mitra Teras: Jurnal Terapan Pengabdian Masyarakat, Volume 4 Issue 1, June 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/teras.0401.01

This also tends to justify the approach of social media analysis as a highly effective tool for mapping and optimally developing UMKM in the post-pandemic era. COVID-19. From the analysis, social media has become an important supporting medium for marketing activities and the development of the marketing area for UMKM. Dominantly, Instagram and Facebook serve as media for promotion, while WhatsApp is used for direct communication with customers.and data collected from platforms such as Facebook, Instagram, and TikTok, this research highlights trends in customer engagement, marketing effectiveness, and brand visibility. The main findings of this research indicate that UMKM adopting data-driven strategies on social media achieve high customer retention, better market penetration, and increased revenue. Additionally, this study demonstrates how social media strategies can be further optimized and explains in detail the quality of content, frequency, and targeting in attracting customers online. This research reveals the potential of social media analysis and thus can provide actionable recommendations to empower UMKM towards resilience and competitiveness in the digital economy. The findings emphasize the importance of integrating digital tools for sustainable development in the post-pandemic era. Abstrak Pandemi COVID-19 memberikan dampak besar pada keberlanjutan operasional dan keuangan UMKM, memaksa beberapa di antaranya berada dalam situasi keterpurukkan ekonomi dengan resiko tinggi. Pandemi COVID-19 secara tidak langsung berperan dalam memajukan platform digital seperti media sosial yang menjadi alat promosi UMKM. Penelitian ini mencoba memetakan dan mengoptimalkan kinerja UMKM pada era post-pandemi dengan bantuan analisi media sosial. Menggunakan data yang dikumpulkan dari platform seperti Facebook, Instagram, dan TikTok, penelitian ini menyoroti tren keterlibatan pelanggan, efektivitas pemasaran, dan visibilitas merek. Temuan utama dari penelitian ini menunjukkan bahwa UMKM yang mengadopsi strategi berbasis data di media sosial mencapai retensi pelanggan yang tinggi, penetrasi pasar yang lebih baik, dan peningkatan pendapatan. Selain itu, studi ini menunjukkan bagaimana strategi media sosial dapat dioptimalkan lebih lanjut dan menjelaskan secara rinci tentang kualitas konten, frekuensi, dan target dalam memikat pelanggan secara online. Penelitian ini mengungkap potensi analisis di media sosial dan dengan demikian dapat memberikan rekomendasi yang dapat ditindaklanjuti untuk memberdayakan UMKM menuju ketahanan dan daya saing dalam ekonomi digital. Temuan tersebut menekankan betapa pentingnya integrasi alat digital untuk pembangunan berkelanjutan dalam menghadapi era post-pandemi.

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