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Sahrul Hidayat
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INDONESIA
Jurnal Ilmu dan Inovasi Fisika
Published by Universitas Padjadjaran
ISSN : 25490516     EISSN : 25497014     DOI : http://dx.doi.org/10.24198/jiif
Core Subject : Science, Social, Engineering,
Computer Science & IT Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology
JIIF (Jurnal Ilmu dan Inovasi Fisika) is a scientific journal that contains research results covering theoretical, simulation and modeling studies, experiments, engineering and exploration in the field of Physics and its Applications.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 179 Documents
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Identification of Deep Aquifer Depth in Lava Fan Area, Haruman Peak, Malabar Mountains Based on Audio Magnetotelluric Sounding HARJA, ASEP
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.65355

Abstract

Haruman Peak, located in the southern region of the Bandung Basin, is one of the summits of the Malabar Mountains. This mountain range functions as a significant recharge area for the Bandung-Soreang Groundwater Basin, a role supported by its dense vegetation cover, high precipitation, and slopes that facilitate direct runoff into the basin. Previous studies have identified the presence of shallow aquifers in the Haruman Peak area at depths of less than 40 meters. This study aims to investigate the existence of deeper aquifer systems in the Haruman Peak area using the Audio-Magnetotelluric (AMT) method. AMT data were acquired at three measurement points located on the northern side of a suspected fault zone. The inversion of the AMT data yielded one-dimensional (1D) resistivity models that provide insight into the subsurface structure. These models were used to interpret the lithological composition and to delineate potential aquifer zones. The subsurface stratigraphy in the study area is interpreted to consist of soil, Malabar–Tilu Volcanics (Qmt), and the Waringin–Bedil Andesite Formation, also referred to as Old Malabar (Qwb). The results indicate the presence of deep aquifers at measurement points MB-01 and MB-02, at estimated depths of approximately 1,322 meters and 804 meters, respectively. At point MB-03, a shallow aquifer was identified within a soil layer at a depth of less than 100 meters.
Tsunami Wave Height Modelling Using COMCOT Software Based on Maximum Earthquake Scenario in Bali Island Faiza, Nida Nur; Fatimah, Rizkahana; Haryanto, Yosafat Donni
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.60751

Abstract

Bahasa Indonesia memiliki potensi bahaya tsunami tertinggi, menempati urutan pertama dari 265 negara. Pulau Bali merupakan salah satu wilayah di Indonesia yang dikategorikan sebagai wilayah rawan tsunami karena keberadaan Java Megathrust di segmen selatan Bali, yang memiliki magnitudo maksimum hingga M 9,0, yang dapat memicu tsunami. Penelitian ini bertujuan untuk memodelkan tinggi gelombang tsunami dan waktu tiba gelombang berdasarkan skenario gempa maksimum di zona megathrust Bali selatan. Pemodelan dilakukan dengan menggunakan perangkat lunak COMCOT (Cornell Multi-grid Coupled Tsunami Model). Data yang digunakan dalam pemodelan tsunami terdiri dari data parameter gempa dari Global CMT Catalogue, serta data batimetri dan topografi dari GEBCO, BATNAS, dan DEMNAS. Hasil simulasi menunjukkan bahwa tsunami yang ditimbulkan dapat mencapai ketinggian maksimum hingga 18 meter di Bali selatan. Dari titik-titik tide gauge yang telah dibuat, titik yang terletak di lokasi Nusa Penida menunjukkan amplitudo maksimum hingga 5 meter. Selain itu, simulasi perambatan gelombang tsunami juga menunjukkan bahwa gelombang tsunami membutuhkan waktu sekitar 15-20 menit untuk mencapai daratan pantai selatan Bali dan Nusa Penida pascagempa. Oleh karena itu, diperlukan sistem peringatan dini yang cepat dan pembuatan jalur evakuasi yang efektif untuk mengurangi risiko dan dampak tsunami di Pulau Bali.
Effect of Calcination Temperature on the Crystallite Sizes and Stability of ZnO Nanoparticles Synthesized via Green Method Using Eucalyptus (Melaleuca leucadendra) Leaf Extract Cahyani, Intan Sophia; Nurmalasari, Devi; Panatarani, Camellia
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.64982

Abstract

Synthesis of zinc oxide (ZnO) nanoparticles is a growing research field with wide applications in electronic equipment. pharmaceuticals. optics. and food packaging. This study aims to investigate the effect of calcination temperature on the cristallite size and stablity of ZnO nanoparticles synthesized by the sol-gel method with and without the addition of eucalyptus leaf extract (Melaleuca leucadendra). The calcination process was carried out at temperatures of 400°C, 600°C, and 800°C. Sample characteristics were observed using XRF, FTIR, XRD, PSA, ZETA, and PL. XRD characterization showed that all samples had a hexagonal wurtzite crystal structure, with increasing temperature resulting in higher crystallinity and larger crystallite sizes, reaching 78.71 nm at 800°C for the sample without extract and 32.81 nm for the sample with extract. PSA analysis showed that the particles with extract had a more uniform size distribution, especially at 800°C. The zeta potential values ranged from -43mV to -57mV, indicating good colloidal stability. UV-Vis spectra showed that the energy of the exclusion band (Eg) increased with temperature, with the highest value (3.52eV) in the sample without extract at 800°C. These results indicate that the calcination temperature plays a crucial role in improving the crystal quality and particle stability. Meanwhile, the addition of eucalyptus leaf extract acts as a natural stabilizing agent that helps reduce crystal defects. Keywords: ZnO nanoparticles, calcination temperature, eucalyptus leaf extract, crystal size, particle stability
Crystal Structure and Optical Property of Perovskite FAPbBr3 Single Crystals Synthesized by using Anti-Solvent Assisted Vapor Crystallization Method Sugandi, Adinda Sugandi Apriliani Nur; Bahtiar, Ayi
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.63613

Abstract

Perovskite formamidinium lead tribromide or FAPbBr3 single crystal has been intensively developed as a material for γ-ray detectors, which are very necessary in medical diagnostics in Positron Emission Tomography (PET) radio nuclear devices, in order to obtain high resolution and contrast images to accurately diagnose patient illnesses. This is because FAPbBr3 has high Z, low defect density, high mobility-lifetime (µ−τ) product, is stable against γ-ray exposure, and can be synthesized in the form of large-dimensional single crystals and low-cost films. In this work, FAPbBr3 single crystals were synthesized using the AVC (Anti-solvent assisted Vapor Crystallization) method. The FAPbBr3 crystal has dimension of 5 mm x 5 mm x 3 mm, a single cubic crystal structure and a gap energy of 2.10 eV. The XPS results show that all bonds originating from the constituent elements of the FAPbBr3 crystal are clearly observed. However, a single peak originating from O1s at 531.10 eV is clearly observed, indicating that the FAPbBr3 had undergone oxidation. Optimization of the synthesis methos is needed to prevent oxygen penetration into the crystal.
Advancing Aviation Meteorology: Airport Visibility Prediction Using Random Forest Regressor On Integrated Metar Parameters Kharisma, Adilaksa; Fadhillah, Muhammad; Haryanto, Yosafat Donni
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.65464

Abstract

To provide accurate and reliable visibility information in support of aviation safety at Soekarno-Hatta International Airport, a visibility prediction system was developed using the Random Forest Regressor algorithm based on 2024 METAR data. Visibility is a critical parameter for flight safety, particularly under adverse weather conditions. The dataset includes wind direction and speed, temperature, dew point, air pressure, weather phenomena, and cloud parameters that were numerically encoded. After preprocessing and quality control, the data was input into a Random Forest model optimized using Grid Search. Evaluation results show strong predictive performance with an R² value of 0.8736, MAE of 607.45 m, and RMSE of 772.29 m. Feature importance analysis identified haze, temperature, and mist as the most influential factors affecting visibility. These findings demonstrate that integrating meteorological observational data with machine learning approaches can provide accurate visibility predictions to support aviation operational decision-making.
Unjuk Kerja Real-time Data Logger Berbasis Model Convolutional-Recurrent Neural Network-Connectionist Temporal Classification (CRNN-CTC) untuk Perekaman Data Display Seven Segment Effendi, Birgita Putri Grania; Adiperdana, Budi; Faizal, Ferry
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.64116

Abstract

Umumnya alat ukur digital jenis lama atau beberapa alat ukur digital praktis menampilkan hasil pengukurannya dengan struktur seven segment display, tetapi tidak banyak yang dapat menyimpan data hasil pengukurannya secara otomatis. Keperluan pencatatan data ukur untuk pemantauan atau kebutuhan eksperimen memerlukan otomatisasi, terutama jika dilakukan dalam waktu sangat panjang karena pencatatan data manual meningkatkan probabilitas terjadinya kesalahan manusia dalam mencatat. Sementara itu, modifikasi pada alat ukur untuk menambahkan data logger  terlalu rumit sehingga dibutuhkan sistem yang dapat mencatat data hasil pengukuran tanpa perlu mengubah sistem yang ada. Penelitian ini dilakukan untuk  mengembangkan sistem pencatat data real-time berbasis pengenalan karakter optik (OCR) untuk seven segment display agar dapat mengenali barisan bilangan desimal yang tertera pada display dengan panjang karakter yang berbeda melibatkan Convolutional-Recurrent Neural Networks (CRNN) dan algoritma Connectionist Temporal Classification (CTC). Metode yang dipilih menilik dari tantangan segmentasi dari penelitian-penelitian yang sudah dilakukan ketika diterapkan dalam kasus pengenalan bilangan desimal seperti pada penelitian ini. Hasil pengujian model dan eksperimen sederhana menunjukkan model yang dibuat dapat berperan sebagai data logger dengan kemampuan generalisasi yang baik dibuktikan dengan tingkat akurasi model dalam mengenali karakter-karakter bilangan desimal yang dievaluasi dengan Character Error Rate (CER) 3,6%  serta data yang dicatat dari eksperimen sesuai dengan yang ditampilkan pada display. Kata kunci: CRNN, CTC, OCR pada seven segment display, pencatat data desimal otomatis
Article Review: Organic Solar Cell Gultom, Noto Susanto
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.65954

Abstract

One of the emerging technologies that has gained attention as an alternative for meeting renewable energy demands is the Organic Solar Cell (OSC). OSC is a type of photovoltaic device that utilizes organic electronic materials. The fundamental operating principle of OSC is based on the Highest Occupied Molecular Orbital (HOMO) and the Lowest Unoccupied Molecular Orbital (LUMO), with organic compounds serving as the active materials, enabling the conversion of light energy into electricity. Research on OSC has continuously evolved over the years to achieve optimal performance. The substrate/transport layer, which serves as the foundation for the organic active layer in OSC, can be categorized into several types, including ITO-based OSC, conducting polymer-based OSC, silver nanowire-based OSC, metal-based OSC, and graphene-based OSC. Organic solar cells offer several promising prospects, such as relatively low production costs, as well as flexible and transparent design features. However, OSCs also face several challenges, including relatively low efficiency and environmental stability concerns. Addressing these challenges is crucial to unlocking the full potential of OSC technology. This article first provides a general overview of OSC advancements, followed by a summary and analysis of its working principles, performance parameters, and structural components. Finally, we explore recent breakthroughs in OSC development in detail.
INOVASI TEKNOLOGI CERDAS GELOMBANG AUDIOSONIK DAN ULTRASONIK UNTUK MENINGKATKAN PERTUMBUHAN SERTA KETAHANAN TANAMAN PADI TERHADAP HAMA DAN PENYAKIT Nur Vendi, Bergas Frenli; Dwiputra, Muhammad Fadila; Rahayu, Septiani; Rosita, Eneng Tuti; Angelina, Marsella; Dewi, Vira Kusuma
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.65418

Abstract

Serangan hama dan penyakit pada tanaman padi dapat menyebabkan penurunan produktivitas beras yang dapat memicu terjadinya krisis pangan. Penggunaan gelombang audiosonik dan ultrasonik diketahui dapat menjadi salah satu alternatif dalam memicu pertumbuhan serta tindakan preventif terhadap serangan hama dan penyakit tanaman. Sebagai upaya untuk mengatasi permasalahan tersebut, maka dirancang sebuah inovasi teknologi yang memanfaatkan gelombang suara berbasis IoT dan artificial intelligence. Pembuatan perangkat dilakukan melalui beberapa tahapan diantaranya perencanaan dan perancangan prototipe, pembuatan perangkat, penambahan fitur monitoring, pengembangan aplikasi android, pengembangan web server, pembuatan rangka dan integrasi modul GSM, yang diakhiri dengan uji fungsional serta uji teknologi. Dalam perancangannya, prototipe memadukan komponen-komponen seperti Arduino MegaR32560built-in wi-fi, sparkfun MP3 player shield, amplifier, speaker audiosonik dan ultrasonik, ESP36-Cam, modul GSM, serta LCDdisplay. Hasil yang didapat berupa perangkat fungsional TASER-2P yang dapat memacu pertumbuhan tanaman melalui mekanisme buka tutup stomata serta mengendalikan hama tikus sawah dan wereng. TASER-2P memiliki berbagai fitur seperti optimasi pertumbuhan, usir hama, dan induksi resistensi yang terintegrasi dalam satu kesatuan alat. Selain itu, terdapat fitur monitoring yang terhubung dengan AI dan aplikasi android.
IDENTIFICATION OF LANDSLIDE PRONE ZONE SLIDE PLANE USING 2D RESISTIVITY GEOELECTRIC METHOD IN SAMBOJA REGION EAST KALIMANTAN Silalahi, Mawar Dini Erena
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 2 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.64061

Abstract

This study aims to investigate subsurface conditions to identify ground movement and landslide potential in Samboja District, Kutai Kartanegara Regency, East Kalimantan. To delineate slip surfaces in landslide-prone areas, the research employs the 2D electrical resistivity method using a dipole-dipole electrode configuration. Geoelectrical measurements were conducted along four survey lines based on resistivity values to determine subsurface characteristics indicative of potential slip surfaces. The results show that each survey line has distinct soil and rock properties, influencing the type of landslide that may occur. SBJ01 was measured on an outcrop and used as calibration data for other lines. SBJ02 is susceptible to soil creep, SBJ03 is at risk of translational landslides, while SBJ10 indicates debris flow. The primary factors contributing to landslides in the study area include rainfall infiltration, which increases pore water pressure, and lithological conditions that form weak slip surfaces. This study confirms that the 2D electrical resistivity method is effective in identifying slip surfaces in landslide-prone areas and serves as a valuable reference for disaster mitigation efforts.

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