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INDONESIA
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL)
Published by Universitas Negeri Jakarta
ISSN : 23021829     EISSN : 24769398     DOI : https://doi.org/10.21009/03
Core Subject : Science, Education, Engineering,
Electrical & Electronics Engineering Energy Physics Other
Focus and Scope: Physics education Physics Instrumentation and Computation Material Physics Medical Physics and Biophysics Physics of Earth and Space Physics Theory, Particle, and Nuclear Environmental Physics and Renewable Energy
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 976 Documents
 90   91   92   93   94 
OPTIMIZATION OF NEAR-INFRARED LED (NIR-LED) POSITION IN NON-INVASIVE BLOOD GLUCOSE AND CHOLESTEROL MEASUREMENTS: OPTIMASI POSISI NEAR-INFRARED LED (NIR-LED) PADA PENGUKURAN KADAR GLUKOSA DAN KOLESTEROL DARAH NON-INVASIF Meisya Indri Yanti; Nur Jannah; Umiatin; Ernia Susana
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.FA05

Abstract

Cardiovascular disease (CVD) is the leading cause of global mortality, with deaths from this disease projected to rise to 23.3 million by 2030. Along with the increasing prevalence of cardiovascular diseases, non-invasive methods for measuring blood glucose and cholesterol levels using optical sensors consisting of Near-Infrared (NIR) LEDs and photodiodes have been developed and become a critical aspect of monitoring the health conditions of CVD patients. This study aims to identify the optimal placement of the sensor and the ideal part of the finger to ensure maximum and accurate voltage readings by the photodiode. Data collection was conducted using a transmission measurement mode with 180º variations in sensor placement both vertically and horizontally. In the vertical position, the NIR-LED and photodiode were placed opposite each other above and below the finger, while in the horizontal position, they were placed opposite each other on the left and right sides of the finger. Five subjects participated in the characterization process. The test results showed that the vertical sensor placement yielded an average voltage reading of 0.1543V, higher than the horizontal placement, which recorded an average of 0.0702V. Voltage readings for different parts of the finger—thumb, index finger, middle finger, ring finger, and pinky finger—were recorded as 0.1543V, 0.2889V, 0.2223V, 0.2201V, and 0.2139V, respectively. Thus, it can be concluded from this study that vertical sensor placement on the index finger provides the maximum voltage reading. These findings serve as a reference for determining the optimal sensor position to enhance the accuracy of non-invasive blood glucose and cholesterol measurement devices.
OPTIMIZATION OF TCS3200 COLOR SENSOR UTILIZATION IN THE DEVELOPMENT OF AN AUTOMATED SYSTEM FOR COFFEE BEAN SORTING BASED ON DISTANCE DIFFERENCES: OPTIMISASI PEMANFAATAN SENSOR WARNA TCS3200 DALAM PENGEMBANGAN SISTEM OTOMATIS UNTUK PEMILAHAN BIJI KOPI BERDASARKAN PERBEDAAN JARAK Hanum Puji Pangesti; Hadi Nasbey; Haris Suhendar
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.FA07

Abstract

The growing demand for high-quality coffee beans has driven the development of automated systems for coffee bean sorting. A critical component in such systems is the color sensor, which provides accurate information to optimize its usage in coffee bean sorting. This study tested the TCS3200 color sensor to optimize its application in the design of an automated coffee bean sorting system based on distance variations. The methodology involved identifying parameters affecting measurement accuracy and adjusting sensor parameters to respond to variations in color using three different colored papers. The sensor's distance was tested within a range of 1 cm to 20 cm, with increments of 0.5 cm. The results indicated that the optimal sensor distances were 16.5 cm, 7.5 cm, and 15 cm for the three different object colors, with an object size of 14.8 cm x 21 cm. These findings will be applied to the development of an automated coffee bean sorting system using Arduino Uno and the TCS3200 color sensor.
ANALYSIS OF COCONUT MATURITY LEVEL RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD BASED ON COCONUT KNOCKING SOUND DATA IN OPEN SPACES: ANALISIS PENGENALAN TINGKAT KEMATANGAN KELAPA MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA) BERDASARKAN DATA SUARA KETUKAN KELAPA DI RUANG TERBUKA Yusuf Niko Fitranto; Bambang Heru Iswanto; Haris Suhendar
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.FA09

Abstract

Coconuts delivered from farmers generally have different variations in maturity. This study aims to identify the maturity of coconut fruit based on acoustic feature analysis using the Principal Component Analysis (PCA) method. This method combines data acquisition of coconut tapping sounds with multivariate statistical analysis to acoustically recognise the type of coconut maturity. The research experiment involved 40 coconut samples and the recording of coconut knocking sound was done by knocking the coconut three times from each coconut sample using a coconut knocking device in an open space. Time and frequency domain acoustic features were extracted from the resulting audio signals. Subsequently, PCA analysis was used to reduce the dimensionality of the acoustic features and identify patterns that represent the ripeness level of the coconut. The results of PCA visualisation obtained differences in acoustic features from young and old coconut maturity levels can be identified. From the results of analysis using PCA, the first two principal components explained about 40.28% and the second principal component explained about 30.07% of the data variation. Visualisation of the data using a scree plot shows that the young coconut group is clearly separated from the old coconut group.
DENTIFICATION OF VOLCANIC EARTHQUAKE TYPES BASED ON SEISMIC RECORDING DATA FROM MOUNT SINABUNG USING PRINCIPAL COMPONENT ANALYSIS: IDENTIFIKASI JENIS GEMPA VULKANIK BERDASARKAN DATA REKAMAN SEISMIK PADA GUNUNG SINABUNG MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS Bagas Anwar Arif Nur; Bambang Heru Iswanto; Mohammad Hasib; Ahmad Basuki
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.FA11

Abstract

Volcanic eruptions are natural events that have the potential for significant damage to humans and the environment. Identifying the type of volcano earthquake is key in disaster risk mitigation by providing information on the process and the location of magma activity beneath the volcano. In this research, we propose an approach using Principal Component Analysis (PCA) to identify types of volcanic earthquakes based on seismic recording data. Identification begins by reducing feature dimensions using Principal Component Analysis (PCA). The PCA results were then clustered and then evaluated Silhoutte Score, ARI, CH-Indeks, DB-Indeks. Experiments were carried out using recorded data totaling 329 samples. For each recording, feature extraction was carried out in the form of statistical features, entropy features and shape features with a total of 16 features in the time and frequency domains. PCA results on the two main components PC1 explained 49.2741% and PC2 24.5507% of the data variance and evaluation results using Silhouette Score were equal to 0.53, ARI 0.8, CH-Index 529.34, and DB- Index 0.6
CLASSIFICATION OF CHICKEN EGG SHELL QUALITY USING EFFICIENTNET BASED ON DIGITAL IMAGES: KLASIFIKASI KUALITAS CANGKANG TELUR AYAM MENGGUNAKAN EFFICIENTNET BERBASIS CITRA DIGITAL Hernanda Khoiriyah Putri; Bambang Heru Iswanto; Haris Suhendar
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.FA13

Abstract

Cracks in eggshells often occur during the distribution process, both visible and invisible to the naked eye. Cracks in eggshells are a serious concern as they can lead to contamination and health risks for consumers. This study classifies cracks in chicken eggshells based on digital images using a Convolutional Neural Network (CNN)-EfficientNet. The experiment was conducted with a sample of 300 egg images in three conditions: good, cracked, and broken, with 100 images for each condition. The images were captured using a calibrated DSLR camera with a stable background. Data preprocessing included cropping, resizing, and augmentation. The data was split in an 80:20 ratio. Hyperparameters used the Adam optimizer with 50 iterations and a batch size of 32. Model performance was evaluated using loss function metrics (sparse categorical crossentropy), accuracy, and confusion matrix. Classification using EfficientNet-B0 to B3 resulted in accuracy, precision, recall, and F1-Score of 94.52%, 95.75%, 95.71%, and 95.73%; 94.05%, 94.09%, 94.05%, and 94.02%; 94.52%, 94.56%, 94.52%, and 94.54%; and 97.14%, 97.19%, 97.14%, and 97.15%, respectively. Based on the results, classification using EfficientNet shows improved performance as the model complexity increases. The findings suggest that images of eggshell cracks can be utilized for egg quality identification and can be developed for chicken egg quality classification.
ANALYSIS OF ELEMENTAL DIFFERENCES IN GREEN SPINACH (AMARANTHUS VIRIDIS) BETWEEN CONVENTIONAL AND HYDROPONIC CULTIVATION METHODS USING LASER-INDUCED BREAKDOWN SPECTROSCOPY (LIBS) METHOD: ANALISIS PERBEDAAN UNSUR DALAM BAYAM HIJAU (AMARANTHUS VIRIDIS) ANTARA METODE BUDIDAYA KONVENSIONAL DAN HIDROPONIK DENGAN MENGGUNAKAN METODE LASER INDUCED BREAKDOWN SPECTROSCOPY (LIBS) Artha Paulina Simamora; Mangasi Alion Marpaung
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.FA15

Abstract

This study aims to analyze the elemental content in spinach cultivated using conventional and hydroponic methods, utilizing Laser-Induced Breakdown Spectroscopy (LIBS). The research involves collecting spinach leaf samples grown using both cultivation methods. These samples are then processed and analyzed using the LIBS method. In LIBS measurements, appropriate instruments are employed to identify the elements present in the emission spectrum of the samples. The results of this study demonstrate that the LIBS method provides rapid and real-time analysis of the elemental content in spinach. Elements such as Iron (Fe), Magnesium (Mg), Calcium (Ca), Sodium (Na), and Potassium (K) were detected in both tested samples. Although different cultivation methods were employed, there were no significant differences in the types of elements detected. However, the concentration of these elements showed variations.
ANALYSIS STUDY OF CLOVE LEAF (SYZYGIUM AROMATICUM) EXTRACT ABSORBANCE USING UV-VIS SPECTROPHOTOMETER: STUDI ANALISIS ABSORBANSI EKSTRAK DAUN CENGKEH (SYZYGIUM AROMATICUM) MENGGUNAKAN UV-VIS SPECTROPHOTOMETER Natasya Frysilia Wardanni; Iwan Sugihartono; Anggara Budi Susila; Rahmat Setiawan Mohar
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.FA17

Abstract

This study reports that clove (Syzygium aromaticum) leaf extract was used as a reducing agent and deionized water was used as a solvent. In the process of making the extract, as much as 20 grams of clove leaf powder was mixed with 100 mL of deionized water and boiled using a hotplate magnetic stirrer for 2 hours at a temperature of 70°C. Then, the extract solution was filtered using 11 cm diameter filter paper and centrifuged at 4000 rpm for 30 minutes to obtain clove leaf extract. The extract was characterized using UV-Vis Spectrophotometer to analyze the absorbance and energy band gap. Based on the absorbance test results, clove leaf extract showed maximum absorption at a concentration of 1000 ppm with a wavelength of 221 nm and at a concentration of 500 ppm with a wavelength of 225 nm. The energy band gap value at a concentration of 1000 ppm is 3.26 eV and at a concentration of 500 ppm 3.38 eV.
STUDY OF ENERGY BAND GAP IN NANO ZnO STRUCTURE FROM REFLECTANCE PATTERNS: STUDI BAND GAP ENERGI STRUKTUR NANO ZnO DARI POLA REFLEKTANSI Syeha Lutfiah; Iwan Sugihartono; Rahmat Setiawan Mohar; Isnaeni; Maykel Manawan
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.FA19

Abstract

Nanostructured Zinc Oxide (ZnO) has been successfully synthesized using hydrothermal method. All precursors were mixed and stirred using an ultrasonic cleaner for 10 minutes until the sample was homogeneously mixed. Then, the samples were put into a Teflon-coated stainless steel autoclave and heated at 100ºC for 6 hours. Characterization of the optical properties of ZnO nanoparticles was carried out using UV-Vis Diffuse Reflectance spectrophotometer test. Furthermore, the optical properties will be analyzed referring to the reflectance pattern so that the band gap energy of ZnO nanoparticles can be determined using the Tauc Plot technique. The results of Tauc Plot analysis show that the band gap energy of ZnO nanoparticles is at 2.97 eV.
EFFECT OF HYDROTHERMAL TREATMENT DURATION ON THE PHOTOCATALYTIC PERFORMANCE OF ZINC OXIDE (ZNO) NANORODS FOR WASTEWATER PURIFICATION: PENGARUH LAMA PERLAKUAN HIDROTERMAL TERHADAP KINERJA FOTOKATALIK ZINC OXIDE (ZNO) NANORODS UNTUK PEMURNIAN AIR LIMBAH Muhammad Fajar Setiawan; Iwan Sugihartono; Nurfina Yudasari
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.FA21

Abstract

Zinc Oxide (ZnO) has been extensively developed in the field of wastewater treatment as a photocatalyst to degrade dye contaminants. The photocatalytic efficiency of ZnO can be enhanced by modifying its nanostructure, particularly by synthesizing ZnO in the form of nanorods. In this study, a simple hydrothermal method was used to synthesize ZnO nanorods and evaluate their effectiveness in degrading textile dye wastewater, using rhodamine B (RhB) and methylene blue (MB) as model pollutants. Zinc sheets with a thickness of 0.1 mm were treated hydrothermally in an autoclave containing 50 ml of deionized water at 95°C for 8, 16, and 24 hours. Subsequently, each sample was analyzed for its morphological and structural characteristics before being immersed in RhB and MB solutions with a concentration of 5 ppm and exposed to UV light at a wavelength of 352 nm and an intensity of 900–1000 mW/cm2. The degradation rates of RhB were found to be 63.4% for ZnO-8, 94% for ZnO-16, and 79.9% for ZnO-24, while for MB, they were 74.3% for ZnO-8, 75% for ZnO-16, and 68% for ZnO-24. These results indicate that ZnO synthesized hydrothermally for 16 hours exhibited superior degradation performance for both rhodamine B and methylene blue compared to the 8-hour and 24-hour treatments.
EFFECT OF ETHANOL CONCENTRATION ON ZnO NANORODS SYNTHESIZED USING THE HYDROTHERMAL METHOD FOR PARAQUAT WASTE DEGRADATION: PENGARUH KONSENTRASI ETANOL TERHADAP ZNO NANOROD YANG DISINTESIS DENGAN METODE HIDROTERMAL UNTUK DEGRADASI LIMBAH PARAQUAT Bintang Ramadhan; Iwan Sugihartono; Nurfina Yudasari
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.FA24

Abstract

Semiconductor photocatalysts such as ZnO nanorods have been extensively studied for the degradation of water pollutant waste due to their simple, inexpensive, and environmentally friendly process. ZnO nanorods were successfully synthesized using the hydrothermal method on zinc foil substrates with ethanol concentration variations of 10%, 30%, and 50%. The hydrothermal process was conducted for 16 hours at a temperature of 95°C. ZnO nanorods were tested as photocatalysts in a paraquat solution with a concentration of 4 ppm under UV A-B tube luminescent (TL) light for 120 minutes. UV-Vis spectroscopy testing was performed every 30 minutes during the photocatalysis process to determine the photocatalytic efficiency of ZnO nanorods in degrading paraquat waste. The UV-Vis test results showed the best degradation at 30% ethanol variation with 34% at λ 250 nm.

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