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Carrier Frequency Offset Effects on OFDM System over Rayleigh Fading Channel N. M. A. E. Dewi Wirastuti; I.G.A.K. Diafari Djuni Hartawan; I Made Arsa Suyadnya; Duman Care Khrisne
Journal of Electrical, Electronics and Informatics Vol 3 No 2 (2019): JEEI (August 2019)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2019.v03.i02.p03

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) system showed the use of Discrete Fourier Transform (DFT) and Inverse Discrete Fourier Transform (IDFT) to perform the baseband modulation and demodulation. So that, it can increase and improve the efficiency of the modulation and demodulation. Currently, the OFDM is being utilized in the field of broadband wireless communication, which transmit signals orthogonally, that increases speed of information transmission. It also has high proficiency with high bandwidth and provide large data rates and robust against the multipath delay spread. On the other hand, there are some issues faced OFDM system which are high Peak Average Power Ratio (PAPR), and sensitive to Phase Noise (PN) and Carrier Frequency Offset (CFO). This paper presents Orthogonal Frequency Division Multiplexing (OFDM) performance evaluation in the presence of CFO with two different environment scenarios were used: an AWGN channel and a Rayleigh fading channel. The simulation was performed to evaluate the effects of CFO based on Bit Error Rate (BER) vs. Energy Bit per Noise Ratio (Eb/No). The results showed that for BER degradation caused by CFO effects have presented in our simulation for both AWGN and Rayleigh fading channel.
Expert System for Early Diagnosis of Heart Disease Using the Random Forest Method Yogi Prawira Putra; Duman Care Khrisne; I Made Arsa Suyadnya
Journal of Electrical, Electronics and Informatics Vol 3 No 1 (2019): JEEI (February 2019)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2019.v03.i01.p03

Abstract

In Indonesia, coronary heart disease continues to grow. However, the efforts to prevention it can still be done by diagnosing the initial symptoms caused by using an expert system. This study was designed to build an expert system application to diagnose early coronary disease by random forest methods. The application interface was built using the PHP programming language using framework bootstrap, and uses the python programming language to build a random forest. To make an early diagnosis of coronary heart disease, a decision tree was built by training data from the UCI Dataset Machine Learning Repository using the random forest method. Followed by patient classification data that has been collected through 13 questions to get the diagnosis. The diagnosis results were normal, stadium 1, stadium 2, stadium 3 and stadium 4. Based on the tests that had been carried out, the application was able to provide results in accordance with the sample data collected using a confusion matrix resulting in an accuracy of 92.25% +/- 0.62 with 70% precision, remember 46%, which obtained a score of f0,5 72%.
Aplikasi Kamera Pendeteksi Mobil Menggunakan Pendekatan Pengolahan Citra Duman Care Khrisne; I Made Yudi Adnyana Putra
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 2 No. 3 (2013)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v2i3.9804

Abstract

Teknologi pengenalan pola banyak digunakan di berbagai aplikasi keamanan. Dalam penelitian ini mencoba menerapkan pengenalan pola untuk mengidentifikasi objek mobil dan bukan mobil. Penelitian ini bertujuan untuk mensimulasikan metode pengolahan citra untuk mengidentifikasi jenis objek yang masuk ke dalam frame webcam sebagai simulasi kamera pengawas.  Input dari aplikasi adalah citra yang diakuisisi dari stream webcam, kemudian di lakkukan proses ekstraksi fitur bentuk menggunakan momen invarian dan ekstraksi fitur tekstur menggunakan Wavelet Haar. Fitur-fitur yang diperoleh kemudian dilatih dengan model jaringan saraf tiruan metode Learning Vector Quantization (LVQ). LVQ menghasilkan bobot setiap kelas, bobot dari hasil pelatihan LVQ akan menentukan kelas dari ciri objek yang diuji. Percobaan dilakukan dengan mengumpulkan data berupa foto objek mobil dan objek bukan mobil. Dari data yang dikumpulkan kemudian dikelompokkan berdasarkan jenis objek berupa mobil atau bukan mobil. Hasil pengujian menunjukan keberhasilan sebesar rata-rata dapat mengenali sampai 80% baik untuk data uji dari dalam data latih maupun data uji dari luar data latih
RANCANG BANGUN APLIKASI KOMUNITAS MENDONGENG BERBASIS ANDROID Agus Wisnu Kusuma Nata; I Made Arsa Suyadnya; Duman Care Khrisne
Jurnal SPEKTRUM Vol 9 No 1 (2022): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.525 KB) | DOI: 10.24843/SPEKTRUM.2022.v09.i01.p12

Abstract

The culture of giving fairy tales to children has an important role in the development oftheir thinking patterns. This culture is starting to be abandoned and wants to be preserved againby the Bali Storytelling community. The community regularly holds or fills an event withstorytelling activities. This study designs and builds an android-based mobile application for thestorytelling community in managing community information such as managing information onstorytelling activities, managing activity participants, managing fairy tale content, recruitingcommunity members, and managing collaboration invitations aimed at the storytellingcommunity. The application is built with the Flutter framework as the application frontend andthe Laravel framework as a REST API which acts as an intermediary for data flow betweenapplication and database. The results of the black box test show that the application can run allfunctionality well and the results of the System Usability Scale test, the application gets a scoreof 73,375 which indicates the application is classified as good and can be accepted by the user.
RANCANG BANGUN STORYTELLING GAME VISUAL NOVEL ALKITAB INJIL MATIUS Boy Aribana Depari; Duman Care Khrisne; Putu Arya Mertasana
Jurnal SPEKTRUM Vol 10 No 1 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i01.p6

Abstract

Bible is a Scripture that believed by Christians which used as foundation in religious life. Reading the Bible can be more enjoyable by combining text, images, and sound, namely by creating a visual novel game. This visual novel game can be made using Ren'py. By making this Visual Novel Game about the Bible, children can use games to learn about the Bible. The data in this study can be obtained through books, journals, and the internet which are related to the concepts and research methods being carried out. Later, the data used will be validated in advance by the religious leaders concerned so that they can provide support that the stories told in this study do not deviate from the original teachings. The secondary data used is in the form of reference images, illustrations, clip art, animation, video or audio for making visual novel games via the internet. The result of this research is a Storytelling-based Visual Novel Game, where the story is taken from the Gospel of Matthew. In black box testing, this visual novel game shows that all functionality works well. In system usability scale testing, this visual novel game is categorized as good because it has an average value of 75,625.
Residual Neural Network Model for Detecting Waste Disposing Action in Images Suyadnya, I Made Arsa; Khrisne, Duman Care
Journal of Electrical, Electronics and Informatics Vol 5 No 2 (2021): JEEI (September 2021)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2021.v05.i02.p03

Abstract

Waste in general has become a major problem for people around the world. Evidence internationally shows that everyone, or nearly everyone, admits to polluting at some point, with the majority of people littering at least occasionally. This research wants to overcome these problems, by utilizing computer vision and deep learning approaches. This research was conducted to detect the actions carried out by humans in the activities/actions of disposing of waste in an image. This is useful to provide better information for research on better waste disposal behavior than before. We use a Convolutional Neural Network model with a Residual Neural Network architecture to detect the types of activities that objects perform in an image. The result is an artificial neural network model that can label the activities that occur in the input image (scene recognition). This model has been able to carry out the recognition process with an accuracy of 88% with an F1-Score of 0.87.
Helpdesk Ticketing Information System Based on Android at Communication and Information Department of Badung Regency Damayanti, Dewi Ayu Sulistyo; Suyadnya, I Made Arsa; Khrisne, Duman Care
Journal of Electrical, Electronics and Informatics Vol 5 No 2 (2021): JEEI (September 2021)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2021.v05.i02.p01

Abstract

In the operational activities of Diskominfo at Badung Regency, there are often reports of service problems every day. Currently, the reporting of these problems is still done in person via telephone or short message, which affects the speed of handling the report. The complaint system is a solution to problems related to reporting and handling of these service problems. In this study, a mobile application-based complaint system will be developed for the client-side to make it easier for clients to report or respond to reports and for the server-side, it will be developed on a web-based basis to still facilitate the management of complaint data. This study uses Data Flow Diagrams to model the process and Entity Relationship Diagrams to model its database. The evaluation process is carried out using the black box testing method and usability evaluation using SEQ and SUS. The system that has been successfully developed is able to carry out the main processes related to adding reports, viewing report progress, verifying reports, following up on reports, and changing report status. Testing using the black box testing method on 7 test classes with 74 test scenarios to get 74 valid test scenarios. Testing the installation and use of applications on 3 types of smartphones has also been successfully carried out without any problems. Usability testing on users using SEQ gets a middle value of 6 (for Administrator and IT Staff) and 7 (for Verification), which shows that the application developed is easy to use by the user, with the results of the SUS the questionnaire, the user shows that the application is in the Excellent class with an average value obtained from 15 respondents of 80.5.
Improving Community Administration Service and Population Reporting through SINANAS Development Using Participatory Method Wirastuti, Ni Made Ary Esta Dewi; Hartawan, I Gusti Agung Komang Dlafari Djuni; Suyadnya, I Made Arsa; Khrisne, Duman Care; Mkwawa, Is-haka; Arya Mertasana , Putu
SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Vol. 4 No. 2 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/spekta.v4i2.8134

Abstract

Background: Information technology in community administration service has been developed in helping to raise the efficiency and productivity of the leader of Banjar Dinas works, as well as organizing and utilizing information to support administration and management, policy development and decision-making. Contribution: SINANAS (Administration Information System for Banjar Dinas) has proposed to support the works of “Kepala Lingkungan” in Sempidi for administration service and population reporting. Method: Using interview and participatory approaches, the application was used by training and socialization. The application was developed using Visual Studio Code and Python language programming. Results: The results of this community service are SINANAS reporting page for population data of education and livelihood, religion, ethnicity, race, number of population, family card, Temporary Resident Identity Card (KIPS), Temporary Resident Registration Certificate (STPPTS), Reporting page for religion, ethnicity, race, and population, Reporting page for total population based on single age group and gender Conclusion: Based on the post-questionnaire, “Kepala Lingkungan found that using the SINANAS application, producing annual and monthly administrative reports is easier and quicker than manually creating them in Microsoft Word and Microsoft Excel.
Rancang Bangun Aplikasi Pengenalan Pupuh Bali Menggunakan Metode Mel Frequency Cepstral Coefficients Budi Dharma Prabhawa, I Dewa Gede; Care Khrisne, Duman; Sudarma, Made
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 1 (2019): June 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.058 KB) | DOI: 10.29303/jcosine.v3i1.237

Abstract

Pupuh is a basic of Tembang for someone that can later be used for further learning to a higher level that is Sekar Madya and Sekar Agung. Balinese culture is an important feature to determine the ethnicity identity of a group. Then it should be the Balinese use and preserve Pupuh that has been inherited by the ancestors. The media for Balinese Pupuh learning will be using an Android device with MFCC method. To attract the interest of young peoples to learn Balinese Pupuh, then this Balinese Pupuh learning system based-Android was created. This application will use the sound recorded by Android devices and sent to the Python server for systematic calculations, then returned to the Android devices and will get the correct or wrong answer which according to server calculation. By developing this Balinese Pupuh learning system, expected can help the teachers or Balinese language teachers to teach their students about Balinese Pupuh on a mobile and practical.
RANCANG BANGUN SISTEM PENGECEKAN SAFETY HELMET DAN MASKER PADA PROYEK PEMBANGUNAN DENGAN METODELOGI YOLOv5 DENGAN MIKROKONTROLER SEBAGAI INDIKATOR Sebayang, Deo Armanta; Gusman Saleh, Arya; Care Khrisne, Duman; Shandyasa, I Wayan
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p21

Abstract

The use of Personal Protective Equipment (PPE) is a very important role in occupational health and safety, especially safety helmets that can minimize the impact of falling small and large objects, besides safety helmets, masks are no less important to prevent dust and small particles from entering the respiratory tract. To ensure that field workers wear PPE, especially safety helmets and masks, a system is needed that can automatically check workers before entering the work area. This research aims to find out how to create an AI model to detect safety helmets and masks using the You Only Look Once version 5 (YOLOv5) method and find out how much accuracy, besides that the purpose of this research is to find out how to make an indicator system using a microcontroller with result from YOLOv5. After experimenting with the tools made, YOLOv5 successfully detected safety helmets and masks with an mAP50 value of 0.995 and F1-score of 0.997 and ESP32 successfully provided indicators with a success value of 100% from 20 trials.
Co-Authors A.A Ngurah Amrita ADITYA PRATAMA Agma Tinoe Mauludy Agus Wisnu Kusuma Nata Ahmad Sulton Anak Agung Dewi Sintyarianti Ardy Wijaya Arya Mertasana , Putu Arya Ramadhan, Fauzul Boy Aribana Depari Budi Dharma Prabhawa, I Dewa Gede Cokorda Gde Wahyu Pramana Damayanti, Dewi Ayu Sulistyo Darma Putra Dewa Made Wiharta Dwika Prihambodo, Prakoso Fajar Purnama Faridzky, Fadel Ferry Angga Irawan Gede Edy Purna Sastriya Gede Sukadarmika Gusman Saleh, Arya Hartawan, I Gusti Agung Komang Dlafari Djuni Hendrawati, Theresia I Dewa Gede Shunu Kendrawan I G. A. K. Diafari Djuni Hartawan I Gede Agus Satya Dharma I Gusti Made Andi Dipayana I Kadek Agung Bagus Satria Bumi Kelana I Kadek Arya Wiratama I Kadek Yuda Setiadi I Ketut Putra Swastika I Ketut Wijaya I Made Arsa Suyadnya I Made Cakra Pustaka1 I Made Rian Yuliawan I MADE SUDARMA I Made Sukarsa I Made Wismadi I Made Yudi Adnyana Putra I Nyoman Sumitra Tanaya I Putu Gede Mahendra Sanjaya I Putu Prasna Mahardika I Wayan Adi Setyadi I Wayan Shandyasa Ida Ayu Dwi Giriantari Ida Bagus A. Swamardika Jaelani, Maulana Jauzaa Maylia Suhendro Kadek Utari Widiarsini Karda, Putu Adistyanda Timoti Raja Kendrawan, I Dewa Gede Shunu Komang Oka Saputra Krisna Hany Indrani Lie Jasa Made Ngurah Satya Wibawa Putra Made Sudarma Made Sudarma Made Surdarma Made Surdarma Mkwawa, Is-haka Ni Made Ary Esta Dewi Wirastuti Nunut Asihanna, Ester Nur Adl, Waliyin Nyoman Putra Sastra Purna Sastriya, Gede Edy Putra Dharma, Wisnu Wardhana Putra Sentana, Kadek Wibawa Putra, I Made Yudi Adnyana Putri Sintya Dewi Putu Adistyanda Timoti Raja Karda Putu Agus Indra Purnama Putu Arya Mertasana Putu Aryasuta Wicaksana Putu Pande Deva Ryana Putra Risqa Purma Pratama Salsabila, Unik Hanifah Sebayang, Deo Armanta Suartama, Putu Dandy Surya Puja Anggara Tjok Gede Indra Partha Widyadi Setiawan Wijaya Kusuma Yasa, Kadek Yogi Prawira Putra