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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 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 Journal of Law and Social Politics Majalah Ilmiah Teknologi Elektro

Duman Care Khrisne

Program Studi Teknik Elektro, Fakultas Teknik, Universitas Udayana

Author-ID : 245914

Religion Humanities 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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RANCANG BANGUN APLIKASI PENCARIAN SLOT PARKIR KOSONG UNTUK KENDARAAN RODA EMPAT DENGAN PENDEKATAN COMPUTER VISION Agma Tinoe Mauludy; Duman Care Khrisne; Komang Oka Saputra
Jurnal SPEKTRUM Vol 7 No 1 (2020): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Parking space is a facility that must be available in public places, both in shopping areas, offices, hospitals and other places. In general, parking lots only provide parking slots to occupy cars without a system that provides information to the driver about the availability of parking slots, often the driver must surround the parking area to determine whether there are still parking slots that can be occupied. Design and build this application using the Computer Vision method, with the help of CCTV cameras. In making this application, the reference object for detection is a four-wheeled vehicle and the detection uses the Structural Similarity Index Measurement (SSIM) method by taking photos of full parking slots and empty parking slots with four-wheeled vehicles. Then two sample photos will be compared with the threshold method. After getting information about the availability of parking slots, the data will be sent to the server which will then be forwarded by the android application in real time. The results of designing this application have several things that are very influential on the level of detection, namely the intensity of light and camera position. Resistance to light changes of at least 50% of the template that has been made, while the distance of the camera to the parking slot is very influential. The farther the camera the smaller the precision produced by the system.

SISTEM PENCARIAN LONTAR BERBASIS WEB DENGAN METODE VECTOR SPACE MODEL PADA DINAS KEBUDAYAAN PROVINSI BALI I Kadek Yuda Setiadi; Made Sudarma; Duman Care Khrisne
Jurnal SPEKTRUM Vol 5 No 2 (2018): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

This study aims to assist in the search for lontar images with Information Retrieval System built using the Vector Space Model method. The search system testing resulted in a lontar search system that received recall values: 75.4% and precision: 100% based on the graph of the receiver operating characteristic (ROC) analysis. Testing with System Usability Scale (SUS) tested at the Bali Provincial Culture Office got the highest score on statement point 1, 5 and 7 which reached 42.

AUGMENTED REALITY BERBASIS ANDROID UNTUK PENGENALAN PERALATAN LABORATORIUM I Kadek Arya Wiratama; Duman Care Khrisne; Made Sudarma
Jurnal SPEKTRUM Vol 5 No 1 (2018): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

To gift a chance to students, lab learning is a learning process that supervised practical application with practical tools of a previously studied theory. Lack of lab clerk and time, causing lack of understanding of using tools when practical process. This study aims to assist the introduction phase of practicum tools, with Augmented reality technology, built on unity3D, Vuforia and blender with marker in the form of Augmented reality Book (AR book). From test refound that marker detection at best performance when marker is build at A4 paper size with color information and maximum of 3 closed marker area. Testing with System Usability Scale tested by Electrical Engineering Study Program students got best score at statement point 1,7 and 9

RANCANG BANGUN SISTEM INFORMASI SATUAN KREDIT PARTISIPASI MAHASISWA FAKULTAS TEKNIK UNIVERSITAS UDAYANA I Gede Agus Satya Dharma; Duman Care Khrisne; I Made Arsa Suyadnya
Jurnal SPEKTRUM Vol 4 No 2 (2017): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Participation Credit Unit (PCU) is a system of appreciation to Udayana University's students for their participation in student activities in both academic and non academic fields. It is one of the requirements that must be met by every student in order to be allowed to follow graduation. At the Faculty of Engineering of Udayana University, there are some data of students’ PCU that are not stored well, so the data get lost and make the process of inputting the PCU of students become problematic. In this study, the information system being built will be used to manage the PCU data of Faculty of Engineering students of Udayana University. This information system is built by using an HTML programming language, PHP with MySQL DBMS and by using the Bootstrap Framework. The results of the System Usability Scale (SUS) test given to (20) users of the system obtained an average value of 80,88 which means that the it has the values of Excellent Adjective Ratings, B Scale Grade and Acceptable Acceptability Ranges.

PENGENALAN POLA MOTIF KAIN TENUN GRINGSING MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK DENGAN MODEL ARSITEKTUR ALEXNET Putu Aryasuta Wicaksana; I Made Sudarma; Duman Care Khrisne
Jurnal SPEKTRUM Vol 6 No 3 (2019): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Gringsing is one of the traditional fabrics that are characteristic of the Tenganan Pegringsingan Village. Gringsing is quite unique because in its manufacture it uses double-ikat techniques, where this technique can only be found in three places in the world, such as Japan, India, and Tenganan Pegringsingan Village. In 2016 Gringsing was certified by the Ministry of Law and Human Rights of the Republic of Indonesia as a Geographical Indication. This study aims to building a deep learning model to recognize Gringsing motifs and know the performance of the model, so that people can more easily recognize Gringsing motives without having special abilities. The model was built using the Convolutional Neural Network (CNN) method with the AlexNet architectural model. Tests are conducted to determine the performance of the model such as training time, accuracy, precision, recall, and f-measure value. Based on the test results the model built was able to complete 100 epoch training with a time of 19,33 hours, and has an accuracy value of 76%, 74.1% of precision, 72.3% of recall, and 0.73 of F-measure.

APLIKASI MOBILE DETEKSI PENYAKIT DEMODEKOSIS PADA ANJING MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Ardy Wijaya; Duman Care Khrisne; Lie Jasa
Jurnal SPEKTRUM Vol 8 No 2 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Demodex is a skin disease in dogs caused by the protozoan mite Demodexfollicularumvar canis or Demodex canis. These mites are found in the hair roots and sometimesin the glands, almost the entire life cycle of this type of mite is on the skin, if it lasts for a longtime it can cause death in dogs that are infested by these lice This study aims to detectdemodicosis in dogs with a mobile application using a convolutional neural network methodwith a squeezenet architecture model with radam optimization. This application works by takingpictures directly through the cellphone camera then processing it with a trained model then theoutput of this application displays the probability value of the dog being indicated as demodexor not. Based on the results of testing using the black box testing method, the overallfunctionality of the application has been declared successful in accordance with its respectivefunctions and objectives. From the results of validation data testing using 60 validation data,based on the accuracy demodecosis detection application is able to recognize validation datacorrectly as many as 45 data and 15 data has not been properly recognized, so that theaccuracy value is 75% and the f1-score value is 0,595.

SISTEM INFORMASI PELACAKAN KERUSAKAN LAPTOP DENGAN DUKUNGAN MODUL SISTEM PAKAR Made Ngurah Satya Wibawa Putra; Duman Care Khrisne; I Ketut Wijaya
Jurnal SPEKTRUM Vol 8 No 3 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Thexhighxusexofxlaptops today by individuals will affect the condition of laptop andcausing various damage to the laptop itself. The limited knowledge by user solving the problemson a laptop make user have to consult an expert technician to obtain a solution for existingdamage. On the other hand, many and varied defects of laptops, as well as the hectic tasks thatmust be performed by technicians, causing problems on the side oftechnicians.xUtilizationxofxinformation technologyxcanxbexaxsolutionxtoxovercomexproblemsbetween users and technicians. By building a web-based expert system to get the result ofdamage diagnosis and repair solutions, hopefully it can help users find out what problems ontheir laptop and make it easier for technician to deal with damage. This research using webbasedforward chaining as system method. This system can display the results of a laptopdamage diagnosis that it come from symptoms asked by system and repair solution fromdamage diagnosis. Basedxonxthextestxresultsxusingxblack boxxmethod,xthexsystems hasfunction that according with system design, can run according to orders, andhavexbeenxdeclaredxsuccessful.xBasedxonxthexresultxofxthexSystemxUsabilityScalex(SUS)xtest, this system obtainxscorex82.5, which means that the whole system can beaccepted as functioning well on the web.

RANCANG BANGUN APLIKASI IDENTIFIKASI PENYAKIT TANAMAN PEPAYA CALIFORNIA BERBASIS ANDROID MENGGUNAKAN METODE CNN MODEL ARSITEKTUR SQUEEZENET Ferry Angga Irawan; Made Sudarma; Duman Care Khrisne
Jurnal SPEKTRUM Vol 8 No 2 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

The problem that often occurs in the Agricultural Experimental Garden of UdayanaUniversity, especially in the field of agricultural crops in holticulture is about plant diseases, thiscauses a decrease in production results, so the need for early diagnosis of diseases of plants.The study focused on California papaya plants. Diseases of this plant often appear on theleaves and fruits. With advances in technology in the field of image processing can helpproblems that occur in the field of agriculture. In this study build an Android application withCNN (Convolutional Neural Network) method using SqueezeNet architecture. Classifyingdiseases in this plant are Anthracnose, and Ringspot Viruse, as well as classifying healthypapaya. Based on the validation results, the application built using CNN method andSqueezeNet Architecture, can recognize Anthracnose disease, Ringspot Viruse and Papayahealthy through leaves with accuracy of 97% while through fruit accuracy reaches 70%.

RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS PEMETAAN OPTICAL DISTRIBUTION POINT (ODP) PADA PT. TELKOM AKSES BALI SELATAN BERBASIS WEB DAN ANDROID Anak Agung Dewi Sintyarianti; I Made Arsa Suyadnya; Duman Care Khrisne
Jurnal SPEKTRUM Vol 4 No 2 (2017): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

PT Telkom Access (PTTA) is a provider of network infrastructure construction and management services. The company is experiencing various obstacles in managing network infrastructure. One of them is the inefficient coordination between technicians and helpdesk when connecting ODP. In order for technicians to immediately connect customers with the nearest ODP, the technicians need specific ODP location information to be fixed. So far no ODP mapping system has been used. Based on the existing problems, then this research proposes the design and development of Geographic Information System Application mapping ODP web-based for helpdesk and Android mobile-based apps for technicians. Based on the results of testing the application with Black-box testing method, all the functionality of ODP mapping system on web and Android that has been built can run well.

RANCANG BANGUN OBJECT DETECTION PADA ROBOT SOCCER MENGGUNAKAN METODE SINGLE SHOT MULTIBOX DETECTOR (SSD MOBILENETV2) Cokorda Gde Wahyu Pramana; Duman Care Khrisne; Nyoman Putra Sastra
Jurnal SPEKTRUM Vol 8 No 2 (2021): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Artificial intelligence or AI is a technology that emphasizes machine intelligence in respondinglike humans, developed to help support human work. AI has widely applied in various fieldssuch as industry, medical, education, business, and robotics. The development of AI in the fieldof robotics produces autonomous robots, one example is the KRSBI-Beroda soccer robot. Thisresearch discusses the application of AI in the design of object detection systems using thesingle-shot multibox detector (SSD) model on the KRSBI-Beroda soccer robot. This study aimsto produce an AI model in the form of an artificial neural network (ANN) implanted in the soccerrobot to distinguish between ball, goal, robot, and obstacle objects. This object detection systemwas built using a deep learning method assisted by the TensorFlow Object Detection APIframework using the MobileNetV2 SSD model which is run using the python programminglanguage on the NVIDIA Jetson Nano board which is integrated into the C922 Pro webcamcamera. The model was built using a dataset of 977 images consisting of 3064 objects thatwere trained as many as 200,000 steps on Google Colaboratory. The results showed a modelwith an average mAP of 0.80 with an average total loss of 1.5. Validation of the model resultedin a success rate of object prediction with an average accuracy of up to 98.45%.

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 Arya Wiratama I Kadek Yuda Setiadi I Ketut Wijaya I Made Arsa Suyadnya 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 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 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

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