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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) International Journal of Informatics and Communication Technology (IJ-ICT) Jurnal Reviu Akuntansi dan Keuangan Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmu Komputer Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro Ecotrophic, Journal of Environmental Science TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JURNAL MANAJEMEN AGRIBISNIS PROSIDING CSGTEIS 2013 Jurnal Ilmiah Mahasiswa FEB TEMA (Jurnal Tera Ilmu Akuntansi) Infestasi Jurnal Akuntansi Aktual JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) Logic : Jurnal Rancang Bangun dan Teknologi International Journal of Engineering and Emerging Technology Jurnal Manajemen Indonesian Journal of Electrical Engineering and Computer Science Reviu Akuntansi, Keuangan, dan Sistem Informasi Majalah Ilmiah Teknologi Elektro KREATIF: Jurnal Pengabdian Masyarakat Nusantara Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Made Sudarma
Udayana University
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences

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Tata Kelola Teknologi Informasi Dengan Kerangka Kerja COBIT 5 Pada Lembaga Pemerintah Dan Swasta Ida Bagus Agung Eka Mandala Putra; Nyoman Gunantara; Made Sudarma
Jurnal Teknologi Elektro Vol 20 No 1 (2021): (Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2021.v20i01.P01

Abstract

Information technology governance is an integral component of organizational control that includes organizational structure, information technology, and business strategies within the organization. Information technology governance is oriented in emphasizing the use of information technology in organizations to be useful and able to contribute to achieving organizational goals. To know the application of information technology governance, it is said to be good, it is necessary to assess to determine the ability of information technology governance in aligning business strategies with information technology processes. COBIT 5 is a comprehensive framework and can help (governance) management and (management) management in obtaining the goals of the organization/company. This study aims to determine the application of the COBIT 5 framework to measure the maturity level of information technology governance in institutions or organizations in Indonesia. It was found that COBIT 5 has been applied to various types of organizations such as private companies, government agencies, hospital agencies, and educational institutions. The average government and health institutions expect to achieve capability level 5 to get the optimal process, while the average achievement level capability is at level 3 with a value of 2. Therefore, it is necessary to provide recommendations for improvement to achieve expectations at capability level 5. Therefore, the purpose of this study is to review research related to the application of COBIT 5 in measuring the maturity level of information technology governance in companies, government agencies, hospitals, and educational institutions.
PENERAPAN TEXT MINING DALAM SPAM FILTERING UNTUK APLIKASI CHAT Ni Luh Ratniasih; Made Sudarma; Nyoman Gunantara
Jurnal Teknologi Elektro Vol 16 No 3 (2017): (September - December) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1550.808 KB) | DOI: 10.24843/MITE.2017.v16i03p03

Abstract

The Internet has become something important in the communication development. One communication facilities on the Internet is the Internet relay chat or known as chat. Chat applications in real time is often misused for the purpose of spreading the virus, promotions, and other interests known as spam. Spamming is the sending of unwanted messages by someone who has a chat account. This causes the chat account feel uncomfortable with the condition. Based on these problems this research create a chat application that can filter messages or spam filtering by applying text mining. Spam filtering process can be done in two phases: text pre-processing and analyzing. These two phases are carried out to calculate the weight (W) of connectedness with the word spam messages. Based on the results of tests performed on chat applications by applying text mining to perform filtering on spam messages generate the level of accuracy of 91.41%.
Pengenalan Dan Klasifikasi Citra Tekstil Tradisional Berbasis Web Menggunakan Deteksi Tepi Canny, Local Color Histogram Dan Co-Occurrence Matrix I Putu Gd Sukenada Andisana; Made Sudarma; I Made Oka Widyantara
Jurnal Teknologi Elektro Vol 17 No 3 (2018): (September - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1149.427 KB) | DOI: 10.24843/MITE.2018.v17i03.P15

Abstract

the use of traditional Indonesian textile motifs is influenced by elements of nature, environment and culture that develop in the community. Materials, motifs and techniques for making traditional textiles are different from one region to another. The use of information technology in preservation and providing knowledge to the public can made in the form of software that can match the pattern of images or photos while performing traditional textile classifications. The input in this study is an image of a patterned texture. The software through the pattern recognition process will perform calculations and produce values ??that can be matched in the sample database that has previously been processed. The method used is the color feature extraction with the Local Color Histogram method, texture feature extraction with the Co-occurrence matrix method, and the extraction of shape features with the Canny Edge Detection method. Each feature extraction will produce a vector. The data used consisted of 10 textile groups namely endek bali, songket bali, tenun dayak, tenun ikat, sasirangan, kain besurek, ulos, sutera bugis, kain gringsing. Classification method by using K-Nearest Neighborhood (K-NN). The results of this study are the highest accuracy values ??for extraction of texture features and the lowest accuracy values ??for the combination of extraction of shape and color features.
Perkembangan Riset Penerapan Analytical Hierarchy Process Pada Decision Support Systems dan Dampak Penggunaanya di Indonesia I Putu Agus Priska Suryana; Nyoman Pramaita; Made Sudarma
Jurnal Teknologi Elektro Vol 20 No 2 (2021): (Juli-Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2021.v20i02.P07

Abstract

Abstract—Decision Support Systems help decision making to solve very unstructured problems and complex. Every decision-making process always results in one final choice. In the application of decision support systems often use the Analytical Hierarchy Process (AHP) method. AHP can solve complex problems where many criteria are taken. In addition to the application of DSS, the authors also analyze the effect of implementing Decision Support Systems in an institution using simple linear regression. Simple linear regression is used to determine the effect of independent variables on the dependent variable. From several research reviews in Indonesia, many have applied the Analytical Hierarchy Process (AHP) method to assist in the decision support process. These institutions / organizations are active, in the fields of Academic, Private, Hospital, Tourism, and Government. This study found the results of the evaluation of the desktop-based AHP system development to be the most dominant with a figure of 58% where in government projects the largest was 48%. Keywords: Decision Support Systems, Analytical Hierarchy Process, AHP, Information System, Simple linear regression.
Penerapan Metode Clustering Text Mining Untuk Pengelompokan Berita Pada Unstructured Textual Data Nyoman Gede Yudiarta; Made Sudarma; Wayan Gede Ariastina
Jurnal Teknologi Elektro Vol 17 No 3 (2018): (September - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (871.356 KB) | DOI: 10.24843/MITE.2018.v17i03.P06

Abstract

Good governance was a government whose programs were known and beneficial to the people. In Bali Provincial Government which has duty in disseminating information is Bureau of Public Relations Regional Secretariat Bali through media owned. Because at the time of news input to the media in this case Public Relations Bureau website was not included causing the emergence of problems in the form of difficulty knowing the news, which news that goes into certain categories. Clustering was a method to solve the problem. One of the algorithms used in the Clustering method is the K-Means algorithm. This study focused on designing to classify news data into a category using K-Means. To process the documents obtained to make it easier in the process of clustering, was done by preprocess documents first. Document preparation consists of case folding, tokenization, filtering and stemming. Tf-Idf was done to pass the weighting of the terms obtained on the preprocessed documents. From the results of experiments conducted using different amounts of data that are 50, 100, 200, 300, 400, and 500 data obtained results that the K-Means algorithm applied to cluster news, able to work and provide a satisfactory accuracy, Precision average of 73.11% while Recall of 69.65% and Purity of 0.80 for all test data. When viewed the comparison of each test data, the test on 50 data has the highest average precision and recall rate of 76.92% for its precision and for its recall of 79.58% while for Purity its highest value is on testing 300 data that is equal to 0.83.
Implementasi Algoritma FP-Growth dengan Closure Table untuk Penemuan Frequent Itemset pada Keranjang Belanja I Gusti Agung Indrawan; Made Sudarma; Lie Jasa
Jurnal Teknologi Elektro Vol 17 No 2 (2018): (May - Agustus) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (219.855 KB) | DOI: 10.24843/MITE.2018.v17i02.P06

Abstract

Algoritma FP-growth adalah algoritma data mining yang digunakan untuk menemukan frequent itemset pada data keranjang belanja. Frequent itemset adalah kelompok barang yang sering dibeli bersamaan dalam satu keranjang belanja. Analisa frequent itemset akan menghasilkan aturan asosiasi. Algoritma FP-growth menemukan frequent itemset dengan mengkompresi data keranjang belanja ke struktur data tree yang disebut FP-tree. FP-tree kemudian dianalisa untuk mengekstrak frequent itemset. Data keranjang belanja selalu bertambah jumlahnya untuk setiap transaksi yang terjadi, sehingga proses penemuan frequent itemset akan membuat FP-tree dari awal secara berulang-ulang setiap kali algoritma FP-growth dijalankan. Agar FP-tree tidak perlu dibuat ulang dari awal setiap kali algoritma FP-growth dijalankan, maka FP-tree perlu disimpan pada media penyimpanan menggunakan format yang sesuai dengan struktur data tree. Penelitian ini menyimpan FP-tree ke tabel pada database dengan struktur closure table. Struktur closure table memiliki beberapa keunggulan sehingga cocok digunakan untuk menyimpan struktur data tree.
Segmentasi Tumor Otak Berdasarkan Citra Magnetic Resonance Imaging Dengan Menggunakan Metode U-NET Ida Bagus Leo Mahadya Suta; Made Sudarma; I Nyoman Satya Kumara
Jurnal Teknologi Elektro Vol 19 No 2 (2020): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2020.v19i02.P05

Abstract

Brain tumor is a deadly disease where 3.7% per 100,000 patients have malignant tumors. To analyze brain tumors can be done through magnetic resonance imaging (MRI) image segmentation. Automatic image analysis process is needed to save time and improve accuracy of doctor diagnoses. Automatic segmentation can be done with deep learning. U-NET is one of the methods used to segment medical images because it works at pixel level. By applying the ReLU and Adam Optimizer activation function, this method can solve the problem of segmenting brain tumors. Dataset for the training and validation process using BRATS 2017. Several hyperparameters are applied to this method: learning rate (lr) = 0.0001, batch size (bz) = 5, epoch = 80 and beta (b_1) = 0.9. From a series of processes carried out, accuracy of the U-NET method is calculated by Dice Coefficient formula and results in following accuracy values, during training of 90.22% (Full Tumor), 78.09% (Core Tumor) dan 80.20% (Enhancing Tumor).
Komputasi Paralel Menggunakan Model Message Passing Pada SIM RS (Sistem Informasi Manajemen Rumah Sakit) I Putu Adi Pradnyana Wibawa; IA Dwi Giriantari; Made Sudarma
Jurnal Teknologi Elektro Vol 17 No 3 (2018): (September - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.422 KB) | DOI: 10.24843/MITE.2018.v17i03.P20

Abstract

The growth of technology will impact to the growth of data beyond limits of database management tools. One of the system is Information Management System for Hospital it’s a high complexity problem solving method related to the load of data. Parallel computing is one of the technique that been used in HPC. The focus of this research will be emphasized to the design of parallel computing using message – passing model as a search system process in Information Management System for Hospital to find patient data. The design of parallel computing will be done in a way to shared computing data to a number of CPU (Master and Slave), the parallel computing configuration used on CPU (Master and Slave) will be using some stage FOSTER method that are partition, communication, aglomerasi and mapping. The test will be done computing data processing time between sequential and parallel time. Parallel computing design will be tested using speedup and efficiency calculation. The result of designing and testing parallel computing using message-passing model proved the patient data processing speed using parallel program is capable to overcome 1 CPU using sequential network topologi. On speed up method , the test indicate an increase on data transfer speed up using 3 parallel computing CPU. While using efficiency testing method, the efficiency point reached its peak when using 2 and 3 CPU. The Occurrence of decrease on speedup and efficiency point were caused by the minimal amount of data if handled by 7 parallel computing CPU. The Conclusion for this method is, the increase amount of CPU involved in the data processing using parallel computing is not proportional to the amount of time to processing data itself. It happened because every data processing task in terms of the amount of data that’s handled have an ideal amount of CPU limits to do the task itself.
Analisis dan Perancangan Sistem Pengelola Data Menuju Implementasi Data Warehouse Untuk Mendukung Administrasi E-Procurement I Gusti Ngurah Adhy Pradhana; I.A.D Giriantari; Made Sudarma
Jurnal Teknologi Elektro Vol 17 No 2 (2018): (May - Agustus) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (180.434 KB) | DOI: 10.24843/MITE.2018.v17i02.P12

Abstract

Abstract— ULP (Procurement Unit) Udayana University is an institution that organizes the procurement process of Goods/ Services within Udayana University, that includes procurement planning, procurement implementation and reporting of the procurement. This study resulted in a data warehouse application that can summarize, integrate historical data and present information from various dimensions that assist stakeholders in analyzing their policy strategies. Information generated from data warehouse will make it easy for reporting of Goods/Services Procurement at Udayana University to summarize the data and also enable stakeholders to view their data from various dimensions. Data warehouse is designed to facilitate the organization in obtaining information for further analysis and can also be a reference in developing other applications. Data warehouse modeling that has built names SIGAP, which has proven to successfully improve the performance of government goods procurement information system in Udayana University. The improvement is the speed and accurity in finding procurement report for stakeholders or other user. This is measured from the feasibility test of the system which showed in satisfaction score for efficiency is 4.31 out of 5.00. This shows that stakeholders or user can get procurement reports faster using SIGAP application than usual method.
User Experience Analysis Of "Ayooklik.Com" Online Store Using Use Questionnaire In Determining Product Segmentation Philipus Novenando Mamang Weking; Made Sudarma; Komang Oka Saputra
Jurnal Teknologi Elektro Vol 19 No 1 (2020): (Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2020.v19i01.P03

Abstract

Over time, the market function of the convention has now developed into an updated market namely Online Store. Online Store Business is currently supported by a marketing strategy called Product Segmentation. In the implementation of the marketing strategy, sometimes it is not in a position to satisfy all their customers at any time because not all requirements of every customer can be fulfilled by the Online Store company. To answer this problem, a solution that can be offered to solve the problem is to carry out the usability analysis process of the Ayooklik.com online store system in determining Product Segmentation. The results showed that Ayooklik.com customers were satisfied because the Ayooklik.com system was easy to learn so product needs were even greater. The high and low usability of the Ayooklik.com system affects the price of a product sold.
Co-Authors A. A. K. Oka Sudana A.A Ngurah Narendra A.A Raka Novi Aristi Adi Darmawan Ervanto Adinata Mas Pratama Aggry Saputra Aggry Saputra Agus Aan Jiwa Permana Agus Dharma Ahmad Catur Widyatmoko Ajeng Anandra Anak Agung Kompiang Oka Sudana Anak Agung Ngurah Prawira Yudha Andrew Sumichan Andrew Sumichan Ari Kamayanti Ariyady Kurniawan Muchsin Asri Prameshwari Casya Nova Nitali Ginting Charolina Devi Oktaviana Soleman Charolina Devi Oktaviana Soleman Dandy Pramana Hostiadi Darma Kotama, I Nyoman Darma Putra Dea Novim Kartikasari Dewa Ayu Putri Wulandari Dewa Made Wiharta Dima Nurfitri Apriani Dita Rizky Prahayuningtyas Duman Care Khrisne Erwin Saraswati Faraz Muhammad Aulia Fauziah, Farah Ferry Angga Irawan Gde Brahupadhya Subiksa Hanif Prio Ariantono Hardi yusa Hisyam Rahmawan Suharno Hisyam Rahmawan Suharno I Dewa Made Krisnayana I Dewa Nyoman Anom Manuaba I Dewa Nyoman Anom Manuaba I Gede Abi Yodita Utama I Gede Adnyana I Gede Harsemadi I Gede Herry Juniartha I Gede Sujana Eka Putra I Gede Totok Suryawan I Gede Wira Darma I Gst Agung Alit Wismaya I Gusti Agung Gede Mega Perbawa I Gusti Agung Indrawan I Gusti Agung Komang Diafari Djuni Hartawan I Gusti Kade Harta Kesuma Wijaya I Gusti Made Panji Indrawinatha I Gusti Ngurah Adhy Pradhana I Gusti Ngurah Agung Jaya Sasmita I Gusti Ngurah Agung Surya Mahendra I Gusti Ngurah Agung Surya Mahendra I Gusti Ngurah Gede Agung Suniantara I Gusti Ngurah Rai Dharma Widhura I Gusti Rai Agung Sugiartha I Kadek Arya Wiratama I Kadek Dwi Gandika Supartha I Kadek Sastrawan I Kadek Yuda Setiadi I ketut Gede Darma Putra I Komang Yogi Sutrisna I Made Adi Bhaskara I Made Arsa Suyadnya I Made Artawan I Made Budi Sentana I Made Dwi Ardiada I Made Dwi Jendra Sulastra I Made Gede Yudiana I Made Gede Yudiyana I Made Oka Widyantara I Made Sukarsa I Made Sukarsa I N Satya Kumara I Nyoman Adi Putra I Nyoman Gunantara I Nyoman Putu Suwindra I Putu Adi Pradnyana Wibawa I Putu Agung Bayupati I Putu Agus Eka Darma Udayana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Agus Priska Suryana I Putu Alit Putra Yudha I Putu Arya Putrawan I Putu Astya Prayudha I Putu Gd Sukenada Andisana I Putu Oka Wisnawa I Putu Putra Diyastama I Putu Putrayana Wardana I Putu Sugi Almantara I Putu Warma Putra I Wayan Agus Surya Darma I Wayan Eka Krisna Putra I Wayan Suarna Ida Ayu Dwi Giriantari Ida Ayu Listia Dewi Ida Ayu Putu Febri Imawati Ida Bagus A. Swamardika Ida Bagus Agung Eka Mandala Putra Ida Bagus Dwijaya Kesuma Ida Bagus Gede Manuaba Ida Bagus Gede Widnyana Putra Ida Bagus Leo Mahadya Suta Ida Bagus Leo Mahadya Suta Ida Bagus Leo Mahadya Suta Ida Bagus Surya Paramarta IGAM Yoga Mahaputra Irvan Dinda Prakoso Irwansyah Cahya Irwansyah Cahya Adha L Iskandar, Adi Panca Saputra Isnan Murdiansyah IW Dani Pranata Jauzaa Maylia Suhendro Josep Geas Sapalatua Kadek Ary Budi Permana Kadek Ary Budi Permana Kadek Ary Budi Permana Kadek Ary Budi Permana Kheri Arionadi Shobirin Komang Agus Putra Kardiyasa Komang Ayu Triana Indah Komang Budiarta Komang Budiarta Komang Budiarta Komang Isabella Anasthasia Komang Nova Artawan Komang Oka Saputra Komang Sri Utami Lanang Bagus Amertha Lanang Bagus Amertha Lie Jasa Linawati Linawati Luh Gede Putri Suardani Luh Ria Atmarani M. Azman Maricar Made Dinda Pradnya Pramita Made Dinda Pradnya Pramita Made Pasek Agus Ariawan Made Pradnyana Ambara, Made Pradnyana Made Sri Indradewi Adnyana Manuh Artana Michael Tanduk Langi Londong Allo Minho Jo Minho Jo Minho Jo Muhammad Ridwan Satrio Murpratiwi, Santi Ika Naser Jawas Nengah Widiangga Gautama Ni Ketut Novia Nilasari Ni Komang Sri Julyantari Ni Komang Sukri Antariani Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Ni Luh Ratniasih, Ni Luh Ni Made Ananda Putri Pratiwi Ni Made Ari Lestari Ni Made Dwi Antari Ni Putu Sutramiani Ni Wayan Lusiani Ni Wayan Sri Ariyani Nurkholis - Nyoman Gede Yudiarta Nyoman Paramaita Nyoman Pramaita Nyoman Putra Sastra Nyoman Swastika Dharma Pande Made Sutawan Philipus Novenando Mamang Weking Purwania Ida Bagus Gede Putri Sintya Dewi Putri Suardani Putu Agung Ananta Wijaya Putu Angelina Widya Putu Arya Mertasana Putu Bagus Satria Paramartha Putu Risanti Iswardani Putu Wirya Kastawan R. Sapto Hendri Boedi Soesatyo Reni Surmayanti Ricky Aurelius Nutanto Diaz, Ricky Aurelius Rifky Lana Rahardian Risky Aswi R, Risky Rizky Muharram Julyanto Roekhudin, Roekhudin Rukmi Sari Hartati Rukmi Sari Hartati Tria Hikmah Fratiwi Vony Wahyunurani Wahyudin Wahyudin Wayan Gede Ariastina Wikan Pradnya Dana, Gde Y. Yuliati Yogiswara Dharma Putra Yogiswara Dharma Putra Yoni Yogiswara Yudhistira Bayu Perkasa Zulfachmi, Zulfachmi