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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 Jurnal Ilmu Komputer Jurnal SPEKTRUM 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 ARRUS Journal of Social Sciences and Humanities Reviu Akuntansi, Keuangan, dan Sistem Informasi Jurnal SPEKTRUM KREATIF: Jurnal Pengabdian Masyarakat Nusantara Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Made Sudarma
Udayana University
Religion Agriculture, Biological Sciences & Forestry Humanities 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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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
Market Basket Analysis For Procurement Of Food Stock Using Apriori Algorithm And Economic Order Quantity Made Sri Indradewi Adnyana; Rukmi Sari Hartati; 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.p25

Abstract

In a company, it's important to think about inventory patterns. Because without inventory management, companies can suffer losses. Perceived losses if the goods owned in the company's stock are lacking but the interest in goods is very high can cause consumers to switch to other companies and will reconsider making transactions. This also happens if the goods available in the warehouse have a large amount but the consumer's interest in the goods will experience a slight loss especially if the item has an active period so there is a buildup or loss. Therefore an item management strategy is needed. One company that can use both of these methods is Starbucks Legian. Because using the Economy Order Quality method can determine the number of subsequent orders and using a priori algorithm can help companies determine the items that need to be held more and can be given as promos with other products sold or given discounts. Using these two methods will attract consumers to shop at Starbucks Legian.
Stemming Algorithm for Indonesian Signaling Systems (SIBI) Risky Aswi Ramadhani; I Ketut Gede Darma Putra; Made Sudarma; Ida Ayu Dwi Giriantari
International Journal of Engineering and Emerging Technology Vol 5 No 1 (2020): January - June
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.i01.p11

Abstract

The Indonesian Language Sign System (SIBI) is a medium used by deaf people to communicate with the wider community. SIBI is Indonesian that is presented by hand. The sentence structure (morphology) of SIBI is the same as the Indonesian language, SIBI also recognizes the prefix, principal and suffix sign word. This research discusses how to make stemming for SIBI, the algorithm used for stemming is Nazief Adiri. Stemming for SIBI separates input sentences, words through the Text Processing process. Then the word in Stemming so that it can be separated into prefix, main, and suffix words. After stemming, the words obtained in indexing can find the right SIBI, by using ID. Good stemming must pay attention to Indonesian Morphology. The number of words used for this stemming trial is 50 words. By using the Confusion Matrix method found 0.94% accuracy, 93% recall, and 84% precision.
Data Mining, Evaluation, K-means Evaluation of Supporting Work Quality Using K-Means Algorithm I Made Dwi Ardiada; Made Pasek Agus Ariawan; 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

One of the factors that to improve the performance productivity of an organization or agency is Human Resources. During this time many government agencies that do not have employees with adequate competence, this is evidenced by the low productivity of employees and the difficulty of measuring employee performance in the scope of government agencies. This research discusses the application of K-means Clustering conducted at Udayana University, especially on annual performance data for contract workers. this study aims to classify cluster clusters that are determined to facilitate the evaluate quality of work of contract workers. This research uses data used as many as 1613 data. And done preprocessing get 544 data. In preprocessing data, K-means Clustering method is performed. In K-means Clustering determined the number of K as much as 5 Cluster. To determine Data Cluster used Ecludian Distance calculation. From the results of K-means Clustering Applying it takes 10 iterations. From 5 clusters conducted on 544 data there are clusters 0 as much as 38, Cluster 1 as much as 473, Cluster 2 as much as 130, Cluster 3 as much as 26 and from cluster 4 as many as 3. From the results of K-means Clustering implementation is used as a supporter of Quality Evaluation Work.
User Experience Analysis on SSO Portal I Gede Wira Darma; Komang Sri Utami; 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

The need for data and information access makes a college build or use an information system to support their operational activities. Users will feel very helpful if the existing system can help their work, taking into aspects of user experience can help in achieving this. The experience of users using the system needs to be studied to determine the level of user satisfaction with the system that has been developed. The main purpose of this study is to assess aspects of user experience in terms of usability. The usefulness of the aspects measured includes effectiveness, efficiency, learning ability and satisfaction. Effectiveness is measured using the first click testing technique and calculating errors during the usability test process. Efficiency is calculated by finding the time needed to complete the task. User measured satisfaction with the system was measured using the SUS questionnaire. SEQ is used to measure the level of difficulty of tasks or scenarios given during the test. Based on the assessment of the respondents, usability aspects of the system have been achieved, but there are additional things that must be addressed related to system design to improve the usability aspect.
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 Agung Bagus Satria Bumi Kelana I Kadek Arya Wiratama I Kadek Dwi Gandika Supartha I Kadek Sastrawan I Kadek Yuda Setiadi I ketut Gede Darma Putra I Ketut Putra Swastika I Komang Yogi Sutrisna I Made Adi Bhaskara I Made Arsa Suyadnya I Made Artawan I Made Budi Sentana I Made Cakra Pustaka1 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 Leonardus Guido Adi Wungo 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 Mirna Amirya 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 Dewi Ayu Ratih Arya Dewanti 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 Rizal W.H. Siagian Rizky Muharram Julyanto Rodrick Benediktus Kainama 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