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All Journal International Journal of Electrical and Computer Engineering International Journal of Informatics and Communication Technology (IJ-ICT) Seminar Nasional Informatika (SEMNASIF) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) International Journal of Engineering and Emerging Technology Indonesian Journal of Electrical Engineering and Computer Science Bulletin of Science Education Scientica: Jurnal Ilmiah Sains dan Teknologi Kohesi: Jurnal Sains dan Teknologi Jurnal Riset danAplikasi Teknik Industri (JRATI) KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Ni Wayan Sri Ariyani
Department Of Electrical And Computer Engineering, Udayana University
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Journal : International Journal of Engineering and Emerging Technology

 1 
Analysis of Data Warehouse for Transactional Analysis Methods Online Analytical Processing (OLAP) at Company XYZ Silver Putu Widiadnyana; M. Azman Maricar; I Nyoman Arnawan; Sri Ariyani
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

Utilization of information technology is a necessity in looking at opportunities available for decision making by the management. With the ability of information technology to analyze existing used the data into useful information for a company. OLAP is Able to Overcome problems in the data processing mechanisms guided to know various information from different angles. By utilizing transactional analysis, then we know the reaction of customers in choosing the products that we will market. The result of Web-based sales has Decreased for the Gianyar and Denpasar regions but has Increased for the Ubud and online areas so as to give a benefit in terms of production costs. With the training for a sales increase of sales can evenly across locations and need input from customers related to minimize returns.
Management Information System of Event Organizer I Made Gede Yudiyana; Andrew Sumichan; Ni Wayan Sri Ariyani
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 rapid development of technology has had a major impact on the development of the industry to simplify the business processes involved. Event Organizer in the field of conference events is one of them which has many activities in one event that can be held more than one day. The management information system will assist and facilitate event activities in terms of ticket sales, booths, accommodation and activities outside of events such as tours held by organizer. The research methodology carried out begins with interviews with business operators organizing the event to look for functional requirements which are then produced at the end of the research a system that is in accordance with the needs to assist ongoing activities.
Implementation of Document Clustering in Online News Using K-Means Clustering Yogiswara Dharma Putra; Ni Wayan Sri Ariyani; Ida Bagus Alit Swamardika
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.p10

Abstract

The development of technology when making an explosion of the number of news or news documents that are very much on the internet, it is necessary to have clustering done in dividing these documents so that they can be adjusted based on the category of the online news. Application of document clustering can increase the effectiveness of information retrieval by referring to a hypothesis that relevant documents will tend to be in the same cluster if a collection of documents has been clustered. This research aims to try to do clustering on online news about Covid-19 taken from three online news websites contained in XML files. K-Means clustering is used as a grouping of online news by using an open-source application, Carrot2 Workbench which turns out to be able to generate nine clusters of "Covid-19" queries entered in the Carrot2 application.
Recommendation System Cooperative Stock Goods Orders Using Fuzzy Tsukamoto I Made Bagus Wiradivka Laksa Wibawa; Muhammad Ridwan Satrio; Ni Wayan Sri Ariyani
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

Various types of daily necessities are available at all-round cooperatives. The Udayana University Karya Bina Sejahtera Civil Servants Cooperative. This cooperative is included as an all-round cooperative that sells various kinds of daily goods and transactions occur every day with considerable intensity. This causes the cooperative to be able to fulfill the demand for goods from the buyer and keep the items sold in good condition. So that in storing the stock of goods must be able to adjust so that the goods are not excessive in inventory or less in the inventory of goods to be sold. Seeing the problems described above, the author feels the need to build a system that can help the cooperative in determining the number of goods ordered. The recommendation system can be built with several methods. One method that can be used is to use the fuzzy logic method. Researchers want to do a study that aims to help in recommending ordering purchases of goods to be ordered based on the number of sales transactions of goods needed from existing data. To make a recommendation for the number of orders for goods, it will be calculated using the Tsukamoto Fuzzy Logic method which is considered suitable to assist in terms of recommending the number of goods purchase orders. With the calculation of this fuzzy logic, the cooperative will later be able to pay attention to the determination of the number of purchase orders for goods so as not to cause excess stock or stock shortages. The development of a system of recommendations for planning stock items can help the cooperative to provide a reference for the number of orders that must be ordered in order to reduce the occurrence of ordering errors as previously explained, such as excess stock or lack of stock
Big Data Management Putu Suta Adya Dharma Rahadi; Kheri Arionadi Shobirin; Sri Ariyani
International Journal of Engineering and Emerging Technology Vol 1 No 1 (2016): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

In recent years, big data is a term representing large and complicated datasets that traditional data processing, including acquisition, pre-processing, storage, analytics, and visualization, etc, are not capable of tackling. Big data is a term that describes a large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. The usage of big data nowadays has deeply penetrated into various industries, such as e-commerce, retail, manufacturing, media, transportation, health-care, education, etc. In e-commerce, big data can be used in product ranking solution which offers solution to provide accurate information to the user based on their behavior when they are accessing any e-commerce website.
Analysis Design of Tour Guide Markeplace Information System in Bali Dewa Agung Krishna A P; I Nyoman Angga Prabawa; Ni Wayan Sri Ariyani
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

Bali as a world tourist destination where most Balinese people work in tourism. One of the professions that are mostly occupied by Balinese people in the field of tourism is as a freelance Tour Guide. Most freelance Tour Guides in Bali still use the old ways of marketing such as world of mouth or only use recommendations from person to person. Many freelance Tour Guides in Bali complain that the rise of digital transportation is felt to diminish their marketing area. But now some of the freelance Tour Guides have begun to use their social media as a marketing tool using information technology. The solution that can be developed in order to improve the competitiveness of Bali's local freelance Tour Guide in order to compete in the current digital era is to create a marketplace. With this marketplace, this freelance Tour Guide has a place to promote their products. Besides that, for tourists who want to travel to Bali, it will be easier to find and choose Tour Guides as desired and the criteria of tourists.
Co-Authors Andrew Sumichan Astana P, A. Bima Duta Canigia Susila, Ni Made Ari Christian Dani Desak Ayu Sista Dewi Dewa Agung Krishna A P I Gede Totok Suryawan I Made Bagus Wiradivka Laksa Wibawa I Made Dwi Budiana Penindra I Made Gede Yudiyana I N Satya Kumara I Nyoman Adi Putra I Nyoman Angga Prabawa I Nyoman Arnawan I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Gde Sukaatmadja Ida Bagus A. Swamardika IGAM Yoga Mahaputra Immanuel, Valleryo Victorious Juliana, Mia Kheri Arionadi Shobirin M. Azman Maricar Made Henny Aryani Made Sudarma Made Sudarma Manuh Artana Muhammad Ridwan Satrio Ni Made Cyntia Utami, Ni Made Cyntia Nym Dayuh Rimbawan Putu Suta Adya Dharma Rahadi Putu Widiadnyana ., Putu Widiadnyana Rukmi Sari Hartati Sitanggang, Bryan Estavan Imanuel Wicaksana, Putu Aryasuta Yogiswara Dharma Putra Yogiswara Dharma Putra Yogiswara Dharma Putra