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All Journal Jurnal Manajemen dan Agribisnis Buletin Udayana Mengabdi BULETIN FISIKA
I G. A. Widagda
Universitas Udayana
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Physics

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PENDAMPINGAN KEGIATAN EKSRAKURIKULER KIR DALAM UPAYA MENINGKATKAN KUALITAS SEKOLAH SMA DWIJENDRA DENPASAR Komang Dharmawan; Y. Ramona; N. N. Rupiasih; I G. A. Widagda
Buletin Udayana Mengabdi Vol 19 No 3 (2020): Buletin Udayana Mengabdi
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

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Abstract

Youth Scientific Work (KIR) basically aims to trigger curiosity about natural phenomena related to science and technology. KIR can also increase the ability to think critically about natural phenomena and increase creativity that fosters creative ability and critical thinking. The purpose of this assistance is to introduce research methods for groups of teachers so students get better quality coaching. The mentoring method applied is In-House-Training, which is the implementation of mentoring at the relevant school. In this assistance 4 scientific works have been produced by high school students of Dwijendra Denpasar who are ready to be presented in KIR competitions both regionally and nationally.
The Classification of Primitive-Shaped Patterns by Using Principal Component Analysis Method IGA Widagda; Hery Suyanto
BULETIN FISIKA Vol 20 No 2 (2019): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

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Abstract

Abstrak – The recognition or classification of patterns is a major problem in computer vision. Many methods have been applied such as: moment invariant, Artificial Neural Networks (ANN), K-mean, Support Vector Machine (SVM) and others. These methods have a few limitations. The moment invariant fashion is highly vulnerable to noise. ANN methods require a long computing time (especially multi-layer ANN) during the training process. On the other hand, the dimensions of the features generated from the methods are relatively high, which requires large storage space (memory). In addition, this leads to the long computing time when the testing process is carried out. Based on these facts, this research makes use of methods that being able to reduce the feature dimensions, namely the Principal Component Analysis (PCA). In the PCA method the dimensions of the sample image are converted to principal components (face space), whose dimensions are much smaller than the dimensions of the sample image itself. Our works exhibit that the PCA method is highly effective in carrying out the pattern classification process. This can be indicated by the relatively high values of Predictive Accuracy, Precision and Recall (close to 1) while the FP Rate is low (close to 0). Moreover, the location of the point coordinates (FP Rate, TP Rate) in ROC graphs is fallen in the upper left region (approaching the perfect classifier region).
PENGARUH INDIAN OCEAN DIPOLE MODE (IODM) TERHADAP INTENSITAS HUJAN DI BENUA MARITIM INDONESIA (BMI) BARAT I Made Kertayasa; I Ketut Sukarasa; IGA Widagda; I Gede Hendrawan
BULETIN FISIKA Vol 14 No 1 (2013): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

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Abstract

The relation of IODM with rainfall intensity of west BMI have been investigated with Fourier transform and Wavelet transform. IODM can be identified with Dipole Mode Index (DMI). This experiment used Sea Surface Temperature (SST) data from satellite Moderate Resolution Imaging Spectroradiometer (MODIS) and rainfall intensity data from satellite Tropical Rainfall Measuring Mission (TRMM). The result of Fourier transform show that the maximum period of DMI (53,5 months) and maximum period of rainfall intensity of west BMI (12 months). From that result the data is filtered 12 months and obtained correlation -0.83, that correlation mean DMI and rainfall intensity of west BMI have strong negative correlation. The result of Wavelet transform are power spectrum of DMI and rainfall intensity of west BMI. That power spectrums have been correlated, and got positive significant power spectrum correlation at period 1.5 – 1.7 year, 2.4 – 2.8 year, and 3.2 – 4.2 year and negative significant power spectrum correlation at period 3 year and 4.2 – 4.4 year.
Fingerprints Image Recognition by Using Perceptron Artificial Neural Network Muhammad Arif Budiman; I Gusti Agung Widagda
BULETIN FISIKA Vol 21 No 2 (2020): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2020.v21.i02.p01

Abstract

Security systems that use passwords or identity cards can be hacked and misused. One of alternative security system is to use biometric identification. The biometric system that is popularly used is fingerprints, because the system is safe and comfortable. Fingerprints have a distinctive pattern for each individual and this makes fingerprints relatively difficult to fake, so the system is safe. Comfortable because the verification process is easily done. The problem that often occurs on the system of fingerprint scanner is found an error and the user has difficulty when accessing. To handle with these problems has developed an artificial intelligence system. One of arificial intelligence in pattern identification is artificial neural networks (ANN). From some of the results of previous research showed that the ANN method is reliable in pattern identification. Based on these facts, the method used in this research is the perceptron ANN method with values learning rate varying. In the research the program conducted by testing 20 samples showed that the performance of the perceptron ANN method is relatively good method in fingerprint image recognition. This can be indicated from the value of accuracy (0.95), precision (0.83), TP rate (1), and FP rate (0.07)). In addition, the location of the point coordinate (FP rate; TP rate) is (0.07; 1) in ROC graphs is located on the upper left (perfect classifier region).
ANALISIS POLA SEBARAN ASAP TERHADAP KONDISI METEOROLOGI DI PULAU KALIMANTAN TERKAIT KEBAKARAN HUTAN DAN LAHAN (STUDI KASUS: KEBAKARAN HUTAN PADA BULAN SEPTEMBER 2019) Ivan Bachtiar Pandapotan; Suarbawa Komang Ngurah; I Gusti Agung Widagda
BULETIN FISIKA Vol 23 No 1 (2022): BULETIN FISIKA February Edition
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2022.v23.i01.p03

Abstract

A research has been carried out regarding forest and land fires that occurred in the Kalimantan area in September 2019. Meteorological factors such as rainfall, humidity, air temperature, speed and wind direction are parameters that can affect the process of fire occurrence and smoke distribution. In this study, meteorological data and smoke images from BMKG Tuban, Bali were used which were processed and analyzed so that they could be used to interpret meteorological conditions and smoke patterns on the island of Kalimantan. The smoke image that has been collected is processed using HYDRA software on channels 1, 2, and 7 and SATAID software on channels 3, 4, and 6 so that the color of the smoke and the distribution of smoke from forest fires will be visible in the form of images. Based on the results of the study, it can be concluded that the meteorological factors that cause forest fires are rainfall which quite low/minimal, temperature with an average of >30?, air humidity of 70%-80%, and the pattern of smoke spread is caused by winds moving from east to westward at a speed of 10 km/h to 37.04 km/h.
Kalibrasi Alat Pengukur Tekanan Atmosfer Nirkabel Berbasis BMP280 dan ESP-12S Menggunakan Pressure Chamber Arief Laksono; I Gusti Agung Widagda
BULETIN FISIKA Vol 23 No 1 (2022): BULETIN FISIKA February Edition
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2022.v23.i01.p01

Abstract

In order to study and practice the method of meteorological atmospheric pressure gauge calibration, the design, assembly and calibration of an experimental wireless atmospheric pressure gauge based on the BMP280 digital pressure sensor and the System on Chip ESP-12S has been carried out. Using the Vaisalla PTB330 digital barometer secondary pressure standard, the instrument is calibrated in the pressure chamber in the pressure range 850-1050 hPa with a maximum tolerance limit of ± 0.15 hPa at a 95% confidence level. Based on the test results of the correction parameters and U95, it shows that the reliability of the sensor interface system and the internal correction application method used in the calibration process provide calibration results that meet the requirements of the WMO standard. The precision test on repeatability conditions based on ISO5725: 1994 is also used as a measure of tool precision. Through this calibration report, the performance and accuracy of the BMP280 sensor in relation to measurements on meteorological objects, especially atmospheric pressure can be known and studied further.
Rancang The Prototype of Water Level Detection System Using HC-SR04 Sensor and GSM SIM800L Module Based on ATMega 328 Microcontroller I Putu Wahyu Pranata Kusuma Jaya; I Gusti Agung Widagda; I Gde Antha Kasmawan
BULETIN FISIKA Vol 24 No 1 (2023): BULETIN FISIKA February Edition
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2023.v24.i01.p05

Abstract

A prototype of water level detection has been designed using the HC-SR04 sensor and the GSM SIM800L module based on the ATMega328 Microcontroller. This study aims to monitor the water level through indication media such as LED colors and different buzzer sounds. In addition, the communication medium between the user and the design tool is using SMS. Users can also control the Relay and provide information in the form of current water levels via SMS. The components used to design this system are Arduino Uno, sensor HC-SR04, GSM SIM800L Module, LCD, LED, buzzer and Step-Down regulator. The principle of this system is the system will indicate the water level through predetermined statuses, such as safe, alert and dangerous. Each status has a different LED color and buzzer sound. When the water level reaches the threshold value for each status, the design tool will send a message to the user in the form of the current status and water level. When the water level reaches dangerous status, the relay will turn on and off when the water level reaches safe status. Based on the standard deviation value, the designed tool has a fairly small standard deviation between 0-0.2 cm so that the tool is said to be quite precision. Meanwhile, based on the results of the calibration test between the read distance on the LCD and the ruler, the coefficient of determination is 0.9996 or 99.96% and SMS with the ruler obtained 0.9997 or 99.97%. This indicated that the designed tool has good accuracy. Abstrak Telah dirancang sistem pendeteksi ketinggian air menggunakan sensor HC-SR04 dan modul GSM SIM800L berbasis Mikrokontroler ATMega328. Penelitian ini bertujuan untuk memantau ketinggian air melalui media indikasi seperti warna LED dan bunyi buzzer yang berbeda. Selain itu, media komunikasi antara pengguna dengan alat rancangan yaitu menggunakan SMS. Pengguna juga dapat mengontrol Relay dan memberi informasi berupa ketinggian air saat ini kepada alat rancangan melalui SMS. Komponen-komponen yang digunakan dalam merancang sistem ini adalah Arduino Uno, sensor HC-SR04, modul GSM SIM800L, LCD, LED, buzzer, regulator step-down. Prinsip kerja dari sistem ini adalah sistem akan mengindikasikan ketinggian air melalui status-status yang telah ditentukan yakni aman, siaga dan bahaya. Setiap status memiliki warna LED serta bunyi buzzer. Ketika ketinggian permukaan air mencapai nilai ambang pada setiap status maka alat rancangan akan mengirimkan pesan kepada pengguna berupa status serta ketinggian air saat ini. Ketika tinggi permukaan air mencapai status bahaya, maka Relay akan menyala dan mati ketika ketinggian permukaan air mencapai status aman. Berdasarkan nilai standar deviasi, alat yang dirancang memiliki standar deviasi yang cukup kecil antara 0-0,2 cm sehingga alat dikatakan cukup presisi. Sedangkan, berdasarkan hasil uji kalibrasi antara jarak yang terbaca pada LCD dengan mistar diperoleh koefisien determinasi sebesar 0,9996 atau 99,96% dan SMS dengan mistar diperoleh 0,9997 atau 99,97%. Hal ini menunjukkan bahwa alat yang dirancang memiliki akurasi yang baik.
PENGARUH VARIASI TEMPERATUR SINTERING TERHADAP STRUKTUR KRISTAL SUPERKONDUKTOR Y0.5La0.5Ba2Cu3O7-? I G. Cahya Pradhana; Wayan Gede Suharta; I Gusti Agung Widagda
BULETIN FISIKA Vol 17 No 1 (2016): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

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Abstract

Variation of sintering temperature have been done in the synthesis superconductors using wet-mixing method by adding to obtain homogenous superconductors. Generally, XRD characterization and search match indicates the presence impurities of BaCO3, BaCuO2, dan CuO compounds. Variation of sintering temperature of 750oC, 850oC, dan 950oC showed an increase in the volume fraction of superconductors of 57.15%, 88.78%, and 95.04%, lattice parameter a showed a decreased of 3.891178 ?, 3.886266 ?, and 3.879036 ?, b of 3.912534 ?, 3.910184 ?and 3.897226 ?. Meanwhile, lattice parameter c showed an increased of 11.600093 ?, 11.769890 ?, and 11.826884 ?, crystal size of 73 nm, 149 nm, and 160 nm.
PEMBUATAN ALAT PANTAU SUHU DAN KELEMBABAN UDARA BERBASIS SHORT MESSAGE SERVICE (SMS) MENGGUNAKAN AWE.2020 I Putu Wahyu Pranata Kusuma Jaya; I Gusti Agung Widagda
BULETIN FISIKA Vol 22 No 1 (2021): BULETIN FISIKA February Edition
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2021.v22.i01.p03

Abstract

It has been successfully created a device that can monitor the temperature and humidity of air through a mobile-based Short Message Service (SMS) with the name is AWE.2020. This tool consists of DHT22 temperature and humidity sensor, a GSM SIM800L module, and an Arduino Uno R3 microcontroller. The temperature and humidity readings will be processed by the Arduino Uno R3 microcontroller and the result will be sent as an SMS via GSM SIM800L module. To measure the accuracy of the prototype device (AWE.2020) a calibration was done with existing standard AWS device at Jembrana Climatology Station, Bali. Several parameters are used to measure the accuracy of this measuring instrument, such as regression analysis and statistical t-test. The performance of AWE.2020 depends of the signal quality of the provider. When the signal is good, the result of t-test and regression analysis of this tool show a high degree of accuracy; and vice versa. From the observations, as well as statistical t-tests it was found that the tool was accurate and precise to use but depends on provider signal which is used for.
Human Voice Recognition by Using Hebb Artificial Neural Network Method k krisna g; I Gusti Agung Widagda; Komang Ngurah Suarbawa
BULETIN FISIKA Vol 19 No 1 (2018): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

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Abstract

It has been created a program to recognize human voice by using artificial neural network (ANN). The ANN method used is Hebb. Hebb was chosen because it is the simplest ANN so the training and testing process is faster than other methods. Designing the program is started by designing Hebb’s architecture and design of GUI (Graphical User Interface) using Matlab R2009a. The design of Hebb's architecture consists of 4500 inputs and 3 outputs. The GUI design of the program consists of three main sections: recording panels to record sample sounds, training panels to determine the weighted value and bias of the training results according to the Hebb training algorithm, and the testing panel to test the test sounds according to the Hebb testing algorithm. After program design, proceed with the testing of the program. Testing of the program starts with the sound recording of samples from 8 different people using the record panel. Each person has 1 voice sample for training data. Then proceed with the Hebb training process using the training panel, weight and bias value displayed on the training panel. After the weight and bias values ??are obtained, proceed with the Hebb testing process using 16 test sound data consisting of 8 sound data equal to training data and 8 noise data. From the testing program process obtained a result of 100% for the level of recognition of the same voice data with training data and for noise data has a recognition rate of 87.5%.
Co-Authors Arief Laksono Hery Suyanto I G. Cahya Pradhana I Gde Antha Kasmawan I Gede Hendrawan I Gede Surya Merta I Gusti Ayu Tirtayani I Made Kertayasa I Putu Wahyu Pranata Kusuma Jaya Ida Bagus Agung Dharmanegara Ida Bagus Alit Paramarta Ivan Bachtiar Pandapotan k krisna g Kadek Darmo Komang Dharmawan Komang Ngurah Suarbawa Muhammad Arif Budiman Ni Luh Putu Trisnawati Ni Nyoman Kerti Yasa Ni Nyoman Rupiasih Putu Laksmita Dewi Rahmayanti Sukarasa, I Ketut Wayan Gede Suharta Yan Ramona