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All Journal Jurnal SPEKTRUM Jurnal Media Infotama Jurnal Sains dan Teknologi JUTEI (Jurnal Terapan Teknologi Informasi) SINTECH (Science and Information Technology) Journal Journal of Computer Science and Informatics Engineering (J-Cosine) Journal of Electrical, Electronics and Informatics SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Jurnal Ilmiah Wahana Pendidikan Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal SPEKTRUM

I Made Arsa Suyadnya

Program Studi Teknik Elektro, Fakultas Teknik, Universitas Udayana

Author-ID : 2932531

Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences Other

Published : 79 Documents Claim Missing Document

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Rancang Bangun Aplikasi Manajemen Sales Force Berbasis Web Dan Android Dilengkapi Layanan Informasi Geografis (Studi Kasus Pada PT. Satryakarya Adiyudha) Anak Agung Ngurah Prawira Yudha; Made Sudarma; I Made Arsa Suyadnya
Jurnal SPEKTRUM Vol 4 No 2 (2017): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

This study aims to build a sales force system that can automate the marketing process in a company. Automation is necessary because manual calculations impact, in general on the company's sales performance, and in particular on sales performance. The solution offered on this issue is the development of a web-based sales force management application using PHP and HTML programming languages. While the Android-based applications built using Java and XML programming language. As a case study of workflow of sales force automation implementation, this study uses PT. Satryakarya Adiyudha which is a paint supplier and still working manually. The results obtained, an Android application to assist sales in conducting transactions, attendance, manage customer data, and calculate bonuses. While web applications are used by operators and managers in managing employee data, managing goods data, viewing sales visits, and confirming orders and printing order invoices. Based on Black-box testing, the result is functional applications can run well, whereas the Testing result using System Usability Scale (SUS) is 77.25 with Grade Scale C and Acceptability Ranges Acceptable.

RANCANG BANGUN MODEL PENGIDENTIFIKASI SUARA HURUF HIJAIYAH DENGAN METODE MEL FREQUENCY CEPSTRUM COEFFICIENT DAN CONVOLUTIONAL NEURAL NETWORK Robbani Punggawa Arcapada; Widyadi Setiawan; I Made Arsa Suyadnya
Jurnal SPEKTRUM Vol 8 No 4 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Learning the Qur'an is a necessity for a Muslim, because the Qur'an acts as a guideand way of life. One thing that is learned in the Qur'an is how to pronounce Hijaiyah letters orMakharijul letters. In learning Makharijul Letters it takes an ustaz or accompanying teacher whois limited by distance and time. To overcome the limitations of distance and time, a learningapplication model is needed that can be accessed without the limitations of distance and thetime. This is studied aim to develop the Hijaiyah letter recognition model using the MelFrequency Cepstrum Coefficient (MFCC) and Convulational Neural Network (CNN) methods.Based validation results, the model built using the MFCC and CNN methods can identify theletters read with an accuracy of 49.1%. Then based of the test result with Confusion Matrix, thismodel have a precision value of 50%, recall is 53%, and F-Measure is 0.514.

APLIKASI MARKETPLACE BERBASIS SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMESANAN DAN PEMASANGAN IKLAN PADA BILLBOARD DI KOTA DENPASAR I Made Dedi Pradnya Iswara; I Made Arsa Suyadnya; Putu Arya Mertasana
Jurnal SPEKTRUM Vol 9 No 1 (2022): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Billboards are a great form of outdoor advertising. Billboards containing text or images ofinformation promoting a product are usually taken by the advertising agency. Advertisingcompanies promote curated billboards using individual websites, requiring clients to switchbetween sites to get billboards that meet the criteria. The purpose of marketplace creation is toavoid customers having to switch sites for billboards that meet the criteria. The marketplace isbuilt using Laravel 7 framework with additional features of a business intelligence system tohelp customers get billboards based on their criteria. The decision support system uses aweighted accumulation method that uses multiplication to relate the scoring criteria, where thescore of each criterion will be increased by the weight of the related criteria. The use of adecision support system with a weighted product approach as a support function on a marketsite is the use of a decision support system as a recommendation for the application market.The result of this research is that a web-based marketplace with a decision support system hasbeen successfully built using the Laravel 7 framework and MySQL DBMS. Based on the blackbox tests performed on the app, it performs according to its function and based on theoreticalcomparison testing related to the use of the weight product method, the results of therecommendations on the billboard application are in accordance with manual calculations.

Rancang Bangun Aplikasi Augmented Reality Sebagai Media Promosi Model Tatanan Rambut Pada Barbershop Berbasis Android Putu Adistyanda Timoti Raja Karda; I Made Arsa Suyadnya; Duman Care Khrisne
SINTECH (Science and Information Technology) Journal Vol. 1 No. 1 (2018): SINTECH Journal Edition April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v1i1.226

The development of barbershop makes business competition becomes increasingly tight. Currently, information and communication technology is very important in the field of barbershop marketing. But this technology only shows details of the existence of barbershop. In addition, the catalog of hairstyles that are provided only in the form of 2-dimensional images. Therefore, more advanced technology is needed to promote the model of hairstyle available in barbershop. One of the technology applied in smartphone applications is Augmented Reality on the Android operating system. In this research will be developed an Augmented Reality based promotion media to promote hair model model with 3 dimensional object visualization using marker based tracking method. Development of this application starts from the stage of concept creation, application design, 3-dimensional object creation, application assembly, application testing, until the application distribution stage. This application was created using C # programming language, Vuforia Qualcomm, virtual and Unity Autodeks Maya software. The application that has been produced is tested by 2 methods that is by black-box testing and by usability scale system test, on the test of black -box AugmentedReality application of functional barbershop that exist in the application has been successfully executed according to their respective function. Based on survey results on Usabilty ScaleSystem(SUS) test on Augmented Reality Barbershop application, 20 respondents gave average score of 73.35 with Grade Scale C.

PEMANFAATAN INSTANT MESSAGING UNTUK APLIKASI PEMBELAJARAN MEMBACA AL-QURâ€™AN DENGAN METODE TSAQIFA Faraz Muhammad Aulia; Made Sudarma; I Made Arsa Suyadnya
SINTECH (Science and Information Technology) Journal Vol. 2 No. 1 (2019): SINTECH Journal Edition April 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v2i1.301

Indonesia is predominantly Muslim country. However, around 54% of Muslims cannot read the Qur'an. Many teenagers and adults argue that this is due to lack of time, shame to learn, not having a teacher and so on. Based on these problems, many methods are formulated to help the community in learning. The Tsaqifa method is one method that is claimed to make people able to read the Qur'an in just 7.5 hours. However, along with technological advances, this method began to be considered conventional. Therefore, there needs to be a new alternative so that learning methods can keep up with technological advances. Utilization of instant messaging can be used as an alternatives to implement existing learning methods especially Tsaqifa method that is expected can help communities learn independently, quickly, easily and interactively. In this study, the application of the Tsaqifa method was carried out by developing an application of chatbot in learning the Al-Qur'an reading media that utilizes the LINE Messaging API. Applications that have been built are tested with 2 methods that is Blackbox Testing and System Usability Scale (SUS). In testing using Blackbox Testing, the overall functionality of the application has been declared successfully run and based on the results of the System Usability Scale (SUS) test, obtained an average score of 73.3 out of 20 respondents which means the application can be accepted by the public (acceptable).

RANCANG BANGUN APLIKASI AMBULANCE ONLINE BERBASIS ANDROID Ruth Damayanti Patricia Simamora; Made Sudarma Sudarma; I Made Arsa Suyadnya
SINTECH (Science and Information Technology) Journal Vol. 3 No. 2 (2020): SINTECH Journal Edition Oktober 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v3i2.633

Ambulance is an emergency transportation used by hospitals, health centers, or related agencies that serves to help people who need medical help. Ambulance is supported with medical devices and medical personnel and is used to carry patients from certain locations to other locations. The majority of Indonesians did not know how to call an ambulance when they were in an emergency situation and needed medical personnel. This ignorance can be fatal and can even cause a person to lose life. Based on these problems, this research creates an Android-based Ambulance Online application that equipped with a Geographic Information Services (GIS) by utilizing the map feature that is integrated with the Google Maps API so that it can provide information of ambulance location, customer location and the route of the road between the two locations. This application is also integrated with the notification feature by utilizing FCM (Firebase Cloud Messaging) so that users can find out information and status order in real time. This Ambulance Online application is expected to result an application that can be used by the society as a customer to order an ambulance quickly and efficiently. This application can provide convenience in emergency response services so that it expected to be able to help people in need

Geographic Information System of Potential Tsunami Impact Areas and Safe Gathering Places for Coastal Tourism Area in Badung Regency, Bali Province I Made Arsa Suyadnya; Duman Care Khrisne
Journal of Electrical, Electronics and Informatics Vol 1 No 2 (2017): JEEI (September 2017)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2017.v01.i02.p07

The Southern part of Bali especially Badung regency, in addition to having natural beauty and popular tourist attraction, it has a high potential for disaster. The fact is the coastline of Bali in the south is prone to tsunami because Bali is located close to the colliding zone between the Indo-Australian plate and the Eurasia plate, which presents the main source of the local tsunami that could hit the island of Bali. This research undertakes the design and development of a Geographic Information System (GIS) that can provide information and socialization of potential tsunami impact areas and safe gathering places for coastal tourism area in Badung regency. This application is built web-based by using Google Maps API v3. In this Geographic Information System, users can identify potential tsunami impact areas, obtain information on evacuation methods in the event of a tsunami disaster and can find the nearest safe gathering places to do an evacuation. By utilizing geolocation and direction services from Google Maps API v3, simulation of the nearest evacuation route has been successfully built. Evacuation is done by considering two possible evacuation sites. The first possibility is to evacuate to the nearest vertical high building, and the second evacuation site is away from the danger zone (red zone) and towards the safe zone (yellow zone or outside the yellow zone).

Android Based Application for Rhizome Medicinal Plant Recognition Using SqueezeNet Krisna Hany Indrani; Duman Care Khrisne; I Made Arsa Suyadnya
Journal of Electrical, Electronics and Informatics Vol 4 No 1 (2020): JEEI (February 2020)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2020.v04.i01.p02

Rhizome is modification of stem that grows below the surface of the soil and produce new bud and roots from its segments. Besides being used as spices, rhizome also used by people as ingredients of traditional medicine to treat various diseases. This proves that rhizome has many benefits. However, the ability to recognize types of rhizome can only be done by certain people because rhizome has variety of types, aromas, and different colors. This study was designed to build an Android based application to recognize the types of rhizome, so that people can recognize types of rhizome without having special knowledge. The application was built using Convolutional Neural Network (CNN) methods with SqueezeNet architecture model. This study used 9 class of rhizome with Zingiberaceae Family, namely Bangle, Jahe, Kunyit Kuning, Kencur, Lengkuas, Temu Kunci, Temu Ireng, Temu Mangga, and Temulawak. Testing is carried out to know the performance of application such as accuracy level of application in recognize types of rhizome. Based on the results of testing with 54 rhizomes sample images, the application is capable of recognizing rhizomes types by obtaining a top-1 accuracy value of 41% and top-5 accuracy value of 81%.

Front Cover & TOC I Made Arsa Suyadnya
Journal of Electrical, Electronics and Informatics Vol 1 No 2 (2017): JEEI (September 2017)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Detecting the Ripeness of Harvest-Ready Dragon Fruit using Smaller VGGNet-Like Network I Made Wismadi; Duman Care Khrisne; I Made Arsa Suyadnya
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.p01

This study has a purpose to develop an application to detect the ripeness of the dragon fruit with the deep learning approach using the Smaller VGGNet-like Network method. In this study, the dragon fruit are classified into two classes: ripe or ready for harvest and still raw, by using the Convolutional Neural Network (CNN). The training process utilize the hard packages in python with the backend tensorflow. The model in this research is tested using the confusion matrix and ROC method with the condition that 100 new data are tested. Based on the test conducted, the level of accuracy in classifying the ripeness of the dragon fruit is 91%, and the test using 20 epoch, 50 epoch, 100 epoch, and 500 epoch produced an AUROC value of 0,95.

Co-Authors A. Jagad Miftahul Rizqy A.A Raka Novi Aristi AA Ngurah Cakra Khana Ade Aprilio Kedeo Adinda Hermawan, Salsabila Adisti Anjani Putri Agung, I Gusti Agung Pt Raka Agus Wisnu Kusuma Nata Anak Agung Dewi Sintyarianti Anak Agung Ngurah Amrita Anak Agung Ngurah Prawira Yudha Andrew Dwi Permana Arya Mertasana , Putu Aulia, Faraz Muhammad Bayu Andika Virgunzena Damayanti, Dewi Ayu Sulistyo Darma Kotama, I Nyoman Dewa Gede Dede Pramana Dewa Made Wiharta Dharma Dutaluhur Artha Lesmana Duman Care Khrisne Duman Care Khrisne Duman Care Khrisne Dwika Prihambodo, Prakoso Edo Halim Saputra Endika Ginting, Alloy Fajar Purnama Faraz Muhammad Aulia Faridzky, Fadel Ferry yudhitama putra Gede Iga Wilhamdika Gede Putu Nuratjaya Gede Sukadarmika Guna, Putu Ivan Adi Hartawan, I Gusti Agung Komang Dlafari Djuni I Dewa Gede Nala Wilantika I G. A. K. Diafari Djuni Hartawan I Gede Agus Satya Dharma I Gede Andhika Putra I Gede Herry Juniartha I Gede Juliantara Putra I Gst Agung Alit Wismaya I Gst Agung Putu Raka Agung I Gusti Agung Gede Mega Perbawa I Gusti Made Panji Indrawinatha I Gusti Ngurah Agung Widhiananda I Kadek Agung Bagus Satria Bumi Kelana I Kadek Sastrawan I Ketut Putra Swastika I Made Artawan I Made Cakra Pustaka1 I Made Dedi Pradnya Iswara I Made Oka Widyantara I MADE SUDARMA I Made Wismadi I N Satya Kumara I Nyoman Piarsa I Putu Arya Putrawan I Putu Prasna Mahardika I Putu Wahyu Eka Suryawan I Wayan Adi Setyadi I Wayan Arta Wijaya I Wayan Shandyasa I Wayan Shandyasa I Wayan Sukerayasa Ida Ayu Kaniya Pradnya Paramitha Ida Bagus A. Swamardika Ida Bagus Darma Putra Ida Bagus Putu Sudarma Putra Irvan Dinda Prakoso Iskandar, Adi Panca Saputra Jayantara Adiputra, A A Bagus Kadek Utari Widiarsini Kadek Yogi Saputra Karda, Putu Adistyanda Timoti Raja Komang Bagus Dwi Widiatama Putra Komang Isabella Anasthasia Komang Oka Saputra Krisna Hany Indrani M. Ardi Fermanta Made Sudarma Made Sudarma Made Sudarma Sudarma Maulana Hendarwan, Iqbal Mkwawa, Is-haka Mohammad Aryo Wibowo Negara, I Putu Bayu Negara, I Putu Bayu Ni Komang Sukri Antariani Ni Made Ananda Putri Pratiwi Ni Made Ary Esta Dewi Wirastuti Ni Made Ary Esta Dewi Wirastuti Ni Made Dwi Antari Nunut Asihanna, Ester Nur Adl, Waliyin Nyoman Arsa Suartana Nyoman Putra Sastra Nyoman Swastika Dharma Palaguna, I Nyoman Terang Trimakna Pande Gede Wipradnyana Pratama, I Nyoman Natha Puspitawati, Luh Eka Putra Dharma, Wisnu Wardhana Putra Sentana, Kadek Wibawa Putu Adistyanda Timoti Raja Karda Putu Anggara Mahardika Putu Arya Mertasana Putu Bagus Satria Paramartha Putu Pande Deva Ryana Putra Rahel Kristina Prajnyawati Rizky Muharram Julyanto Robbani Punggawa Arcapada Ruth Damayanti Patricia Simamora Sari Dewi Hartanto, Dessy Ratna Satria Paramartha, Putu Bagus Sibuea, Dwik Andarilas Sitorus, David Samuel Utami, Komang Sri Wahyu Rizki Arifianto Widyadi Setiawan Wijaya Kusuma Yasa, Kadek Yogi Prawira Putra Yuliansyah, Alfian Fahrul

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