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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 INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 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 Jurnal Ilmiah Wahana Pendidikan Reviu Akuntansi, Keuangan, dan Sistem Informasi Majalah Ilmiah Teknologi Elektro
Made Sudarma
Udayana University
Religion 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Journal : International Journal of Engineering and Emerging Technology

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Design Data Warehouse for Centralized Medical Record Kadek Ary Budi Permana; Gde Brahupadhya Subiksa; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 2 No 2 (2017): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Medical record is a note related to service and action which was accepted by the patient on the health facility. Nowadays, data about medical record have been saved electronically both in form of computer file or database file. Today, the medical record can only be accessed by the hospital and the patients themselves. Medical record supposed to be a consideration in taking particular medical action in real situation. The centralized medical record is needed in order to ease the exchange of medical record among hospitals or other institute. The centralized medical record will involve a lot of data from many sources. The design of the data warehouse can be a solution, in which the data warehouse is a place to submit the data or the data which have been submitted systemically so it can be used to help the analysis and report. By designing the centralized medical recorded it is expected that in the future it can give the complex information and analyzing the data.
The Optimization of Feature Selection Using Genetic Algorithm with Naïve Bayes Classification for Home Improvement Recipients Putri Suardani; Adi Bhaskara; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

The purpose of this study is to help predicting the recipients of home improvement based on the optimized criterias. The classification method is using naïve bayes method. Naïve Bayes classification is one of data mining classification technique that can predict future probabilities based on past experience. But, naïve bayes method has a disadvantage that the independence characteristics of Naïve Bayes feature can not always be applied so it will affect the accuracy. Due to the independence characteristics, Naïve Bayes classification method needs to be optimized by feature selection technique. Genetic algorithm are one of the most commonly used methods of feature selection techniques. The results achieved is Naïve Bayes Method can be applied to determine the recipients of home improvement, which seeks the greatest opportunity or alternative probability by exploiting the conditional probability of each criterion that has been optimized. This can be used as consideration, reference, and facilitate in determining the community welfare and the program rolled right on target.
Audit Data Warehouse System using COBIT 5 Framework Komang Sri Utami; I Gede Wira Darma; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 2 (2018): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Udayana University has now implemented an integrated information system that covers ongoing business processes by involving all components of the academic community. All data circulating in the integrated system leads to the Data Warehouse (DWH). DWH has a goal as a data integration system, report generation, data analysis, and executive information provider. With the importance of the application of this DWH and the frequent problems that are inaccuracies in the data generated by the system, an audit is needed to evaluate the system, assess system capabilities and make recommendations for improvements so that it can support the achievement of system objectives. Audits conducted using the COBIT 5 framework are focused on the purpose of providing IT services according to business needs. This study focuses on evaluating one of COBIT 5's business objectives, namely Optimization of business process functions, which involves 5 domains consisting of 28 processes and acquired capability value which is 3.04 which states that the implementation of IT services has gone well, has been established and has standards
Prediction of Days in Hospital Dengue Fever Patients using K-Nearest Neighbor Dewa Ayu Putri Wulandari; Kadek Ary Budi Permana; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Dengue fever is found more in tropics andsubtropics area. The World Health Organization (WHO) notedthat Indonesia is as the highest dengue fever cases in South Asiansince 1968 till 2009. The treatment of patient dengue fever inhospital had spent rest time or the days in hospital in variationtreatment. Days in hospital often becomes questions from thepatients’ family. To predict of days in hospital is maybe to knowthe capacity for the long period strategies. In this research, weused machine learning approach to predict the period of denguefever patients. One of the machines of learning method is KNearest Neighbor (K-NN). In this case, we analyze the result ofimplementation K-NN method that used to predict period of daysin hospital patients for dengue fever. This paper used the result oflaboratory checking of blood complete with patients as parameterin predict the period of days in hospital dengue fever. The resultof examination used K-NN to show the accuracy levels reach65,67% with k optimal is k=13.
Data Warehouse Implemantation To Support Batik Sales Information Using MOLAP I Made Adi Bhaskara; Luh Gede Putri Suardani; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Batik product has spread in various regions in Indonesia. Batik companies usually have data that accumulates and accumulates without any follow-up to the data. It is also not supported by well-executed final reports. Therefore it is necessary to build a data warehouse that can be used as a source of information for Batik management related to the trend of the type of batik motif based on the category of goods and marketing area from time to time. One important process that must be done in the operation of data warehouse is the process of copying data from the operational database. Before the operational data goes into the data warehouse, ETL process (extract, transform, load) to the data is done. The process is intended to standardize the data used in the data warehouse. Meanwhile, the scheme designed for the development of data warehouse using Snowflake Schema model. The results showed that batik warehouse data has four dimension tables (Product dimension, Region dimension, Time dimension, and Customer dimension), four sub dimension tables (Category dimension, Sub_Category dimension, Pattern dimension and Gender dimension) and one Fact table, Fact Sales. The extraction process produces dimension tables (Product dimension, Region dimension, Time dimension and Customer dimension) and sub-dimensional tables (Category dimensions, Sub_Category dimensions, Pattern dimensions and Gender dimensions). All monitoring of sales data of batik products is done using cube browser. The information displayed by each dimension can be viewed in more detail with the drill down or roll up process in accordance with the hierarchy rules of each dimension field.
Classification Of Loyality Customer Using K-Means Clustering, Studi Case : PT. Sucofindo (Persero) Denpasar Branch Charolina Devi Oktaviana Soleman; Nyoman Pramaita; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 5 No 2 (2020): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i02.p28

Abstract

The success of the company in developing its services can be seen from the number of customers who use these services, customer loyalty in using services can be seen from customer loyalty. Customer loyalty is an important factor in the development of a business in the company, repeated use of services can be used as an indicator in determining the level of customer loyalty, by paying attention to customer loyalty, of course the company will be able to develop customer focus on an ongoing basis. Clarification of customers needs to be done to find out how demographics customers use services, can be seen from how many customers and the level of transactions made. K-Means clustering is one method that can be used for the classification process of customer data through transactions carried out by forming several clusters, this classification process is divided into 5 clusters with the results of which include 1) A few small number transactions with many customers, 2) Many transactions small number with many customers, 3) a few transactions with a medium number of customers begin to decrease, 4) a few large number transactions a few customers, 4) a moderate number of transactions with a number of customers.
Classification of Data Mining with Adaboost Method in Determining Credit Providing for Customers I Gusti Ngurah Agung Surya Mahendra; Ida Bagus Leo Mahadya Suta; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Credit is the provision of funds for lending and borrowing transactions with the agreement and agreement between the bank or financial institution and its customers, and requires the borrower to pay the debt within a certain period of time and provide services. Crediting is done by identifying and assessing factors that influence credit risk. The loss of income and the threat of profitability are things that need to be wary of lending. Data mining classification can be used to help credit analysts in determining lending to customers. The classification process is carried out to obtain determinant attributes. The results of the classification process are evaluated using the adaboost method and testing using weka to obtain cross validation, confusion matrix to determine the most accurate classification in determining credit for cooperative customers
Designing Data Warehouse for Analysis of Culinary Sales With Multidimensional Modeling – Star Schema Design (Case Study: XYZ Restaurant) Aggry Saputra; Zulfachmi Zulfachmi; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Fast and accurate information is one of the factors that make a company can be more superior than the other. In order to meet the information needs of various data, it takes a data warehouse where data from data warehouse can be more useful information so that can be used in support of a decision quickly. Star Schema is one dimensional model of data warehouse that has fact tables in the middle and is surrounded by several dimension tables.
E-Translator Kawi to Balinese Oka Sudana; Darma Putra; Made Sudarma; Rukmi Sari Hartati; I Putu Putra Diyastama
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Nowadays, technology development in cultural aspect has been rapidly evolved. The main reason for technological development in cultural aspect is to preserve the culture of previous era in this globalization age, particularly in Indonesia. Indonesia has many ethnics, races, languages, and cultures which have been passed from our ancestors, one of which is Kawi language. Kawi language is one of the languages which used in Javanese Hindu-Buddha Kingdoms. It was used in many literatures. At this time, only a few people understand Kawi language, particularly in Bali, so a preservation action must be done. Technology became a media to preserve and enhance understanding of Kawi language. Natural Language Processing like e-translator is the one that can be used to achieve the cultural preservation. E-translator application is a tool for translating one language to another. It translates Kawi to Balinese language word by word. Stemming methods used in this application are Bobby Nazief and Mima Adriani Algorithm, perfected by Kawi wording regulation. Translated results from Kawi to Balinese language can be in a form of a word, sentence, or paragraph. Quality measurement of the translation system has an accuracy of 82,27%. Hopefully, this application can be one of the media to preserve Kawi language in Bali and Indonesia.
Application of COBIT 5 for Hospital Services Management Information System Audit Ida Bagus Leo Mahadya Suta; I Gusti Ngurah Agung Surya Mahendra; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 2 (2018): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

We conduct research on hospital management information system management audits where management includes services to patient queuing times and medical personnel who implement COBIT 5 with the Deliver, Service, Support (DSS) domain from the results of the application of DSS domains on COBIT 5 then maturity levels are obtained an average of 2.2 to 2.8 who have an IT governance process in hospital services has a pattern that is repeatedly performed
Co-Authors 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 Ajeng Anandra Alfian Fahrul Yuliansyah 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 Fadel Faridzky 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 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 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 Nyoman Terang Trimakna Palaguna 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 Juli Sulaksono Kadek Ary Budi Permana Kadek Ary Budi Permana Kadek Ary Budi Permana Kadek Ary Budi Permana Kadek Wibawa Putra Sentana Kheri Arionadi Shobirin Komang Agus Putra Kardiyasa 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 Muhammad Ridwan Satrio Murpratiwi, Santi Ika Nengah Widiangga Gautama Ni Ketut Novia Nilasari Ni Komang Sri Julyantari Ni Komang Sukri Antariani 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 Aryasuta Wicaksana Putu Bagus Satria Paramartha Putu Risanti Iswardani Putu Wirya Kastawan R. Sapto Hendri Boedi Soesatyo Reni Surmayanti 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 Yoni Yogiswara Yudhistira Bayu Perkasa Zulfachmi, Zulfachmi