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All Journal Buletin Udayana Mengabdi Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro Journal of Electrical, Electronics and Informatics International Journal of Engineering and Emerging Technology Majalah Ilmiah Teknologi Elektro
Putu Arya Mertasana
Department Of Electrical Engineering, Universitas Udayana
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Data Center Data Warehouse Development at Z Bali Clinic Using the Kimball Nine-Step Method I Gusti Ngurah Wira Partha; Philipus Novenando Mamang Weking; Putu Arya Mertasana
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

Z Bali Clinic has implemented a clinical information system as an operational system. However, the system applied is only limited to carrying out registration and payment functions. Over time, the number of patients from the Z Bali Clinic is increasing and causes more and more complex patient visit data to be managed. The data is managed to be used in making reports. However, the process of making the report is still done through manual calculations, causing it to become an obstacle in the data processing and reporting process. In this study, the process of developing a Data center data warehouse at Z Bali Clinic Using the Kimball Nine-Step Method, where the data warehouse can be used as a center for processing and analyzing outpatient visit data, and to produce reports that can facilitate the executive in analyzing data on outpatient visits as consideration in making decisions at the Z Bali Clinic.
Implementation of Apriori Algorithm in Determining Tourism Visit Patterns to Bali Dewa Agung Krishna Arimbawa P; I Nyoman Angga Prabawa; Putu Arya Mertasana
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

Bali is a tourist destination terknal destinations internationally. Every month there are hundreds of thousands of tourists who visit Bali. With a high tourist visits, stakeholders must prepare all matters related to tourism in Bali. Because problems can occur when a visit in a particular month high but there is no readiness of the parties involved. The purpose of this study is to look for patterns of tourists visiting Bali using Apriori algorithm. Apriori algorithm is one method of Data Mining Based Rule-based Assossiation that can be used to identify patterns of events. Training data used is the visit of foreign tourists to Bali every month from 1982 to 2018. The calculation of Apriori algorithm also tested using an application that is Weka Data Mining. The results obtained are the rules of association which is a pattern of tourists visiting Bali. For example, "If tourists visiting Bali in September and November among the highest in the current year, the visit in November will not enter into the highest visit". By knowing the pattern of tourist arrivals in Bali, expected that the stakeholders can have a reference for decision making
Information Technology Services Audit Lembaga Perkreditan Desa Using COBIT 5 Framework I Nyoman Angga Prabawa; Dewa Agung Krishna Arimbawa; Putu Arya Mertasana
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

Lembaga Perkreditan Desa or LPD is an institution that is present to assist and collect community finances in a village and is managed independently by desa pakraman in Bali Province. One LPD in Bali, LPD Desa Pakraman Gelgel has a very vital role in Gelgel Village and its surroundings because of its business activities that effectively help rural communities in capital assistance, deposit and credit services, and other financial services. In its development, the LPD of Desa Pakraman Gelgel has been growing rapidly and utilizing information technology services as a support for business management. The critical point of finding in IT service audits related is a problem that needs to be evaluated. Using COBIT 5 framework, the level of importance analyzed was obtained by three process domains BAI09, MEA03, and EDM03. The results showed that the level of capability of MEA03 and EDM03 reached level 4 which had met LPD expectations, but BAI09 reached level 2 which required recommendations to reach the target value of the gap. Recommendations are given to assist stakeholders or managerial in improving the achievement of the gap from the BAI09 domain regarding the management of IT service assets
Analysis of Clustering for Grouping of Productive Industry by K-Medoid Method Indah Cahya Dewi; Bara Yuda Gautama; Putu Arya Mertasana
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

With the number of existing data, would have difficulty in doing the classification and the classification of the existing data. To resolve the issue, one way to do clustering is with data mining using clustering technique. The purpose of this research is the importance of knowing the pattern of the production of an industry that can provide the decision and the construction of clustering patterns for development and industrial progress. The results of this research can provide recommendations to improve the development of industry, help the owners of industry to develop the industry to an increase in the number of production and product quality, improve the competitiveness of the owner of the industry in developing its products. In this research will use the K-Medoids algorithm for data grouping of the industry so that it will be found the information that can be used for the recommendations of the improvement of marketing. The results of clustering with the number of cluster 3 produces the first group contains 85 members, the second group contains 222 members and the third group numbered 3 members. The third group are classified as productive because it has a combination of the value of the production of the most high the results of clustering have the quality of purity worth 1 means good cluster quality.
Model of Group Peer Assessment on E-Learning Komang Oka Saputra; Putu Arya Mertasana; Pratolo Rahardjo
International Journal of Engineering and Emerging Technology Vol 4 No 2 (2019): 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.2019.v04.i02.p10

Abstract

Student motivation at class takes major role on achieving courses’ learning outcomes. Multimedia based content, game-based quiz, or self-assessment can maintain student interest to follow the learning process. Apart from the individual solution, working in group is one way to improve student motivation, however without proper arrangement, putting students in groups can degrade the competitive atmosphere of class, as less-smart students hang up to the more-smart students. Another alternative is implementing collaborative learning such as peer assessment that allows students to grade their fellows. However, objectivity between students must be concerned as students tend to give high-grade for their fellows. Combining group mode and peer assessment, this work proposed group peer assessment to improve student motivation on e-learning. Proposed method started by teacher open a group assignment on e-learning. Students then work on group to create solution. After the solutions are submitted, the extra-group peer assessment begins, where each group examines another group work. To maintain the objectivity of the peer assessment, final grade of each group obtained by combining grade from another group and grade from teacher. In the meantime, cooperation atmosphere in each group is maintained by intra-group peer assessment, where each member asses all his/her teammates in terms of intra-personal and inter-personal skills.
IT Governance Evaluation of Hotel Warehouse Section Using the COBIT 5 Framework I Wayan Surya Pramana; Putu Risanti Iswardani; Putu Arya Mertasana
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 warehouse section of a hotel requires good IT governance support to ensure operational activities in the warehouse run smoothly, especially in matters relating to IT Resource (Hardware, Software and Infrastructure). So that to ensure IT governance in the warehouse of a hotel has been running well or not, it is necessary to evaluate the IT governance. Based on that, the purpose of this research is to evaluate IT governance in the warehouse section of a hotel. Evaluation is carried out by an audit process to assess the maturity of IT governance through calculation of capability levels using the COBIT 5 framework on the Delivery, Service and Support (DSS) domains. The research was conducted in a case study at Mercure Bali Nusa Dua Hotel with the conclusion that the level of IT governance capabilities in the warehouse section at Mercure Bali Nusa Dua Hotel is at the level of Managed Process with capability level 2.5, which indicates that IT governance in the Mercure Bali Nusa Dua Hotel warehouse section has been well managed in terms of planning, supervision and control of IT services. Recommendations are given in accordance with the audit results with hope that the company can achieve the expected capability level by making improvements to IT processes that have the greatest capability gap
RANCANG BANGUN STORYTELLING GAME VISUAL NOVEL ALKITAB INJIL MATIUS Boy Aribana Depari; Duman Care Khrisne; Putu Arya Mertasana
Jurnal SPEKTRUM Vol 10 No 1 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i01.p6

Abstract

Bible is a Scripture that believed by Christians which used as foundation in religious life. Reading the Bible can be more enjoyable by combining text, images, and sound, namely by creating a visual novel game. This visual novel game can be made using Ren'py. By making this Visual Novel Game about the Bible, children can use games to learn about the Bible. The data in this study can be obtained through books, journals, and the internet which are related to the concepts and research methods being carried out. Later, the data used will be validated in advance by the religious leaders concerned so that they can provide support that the stories told in this study do not deviate from the original teachings. The secondary data used is in the form of reference images, illustrations, clip art, animation, video or audio for making visual novel games via the internet. The result of this research is a Storytelling-based Visual Novel Game, where the story is taken from the Gospel of Matthew. In black box testing, this visual novel game shows that all functionality works well. In system usability scale testing, this visual novel game is categorized as good because it has an average value of 75,625.
ESTIMASI KONSUMSI ENERGI LISTRIK BALI BERBASIS ANN Putu Arya Mertasana
Jurnal Teknologi Elektro Vol 10 No 2 (2011): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

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Abstract

Aspek yang sangat penting dan strategis untuk menunjang perencanaan operasi yang optimal dari Pusat Pembangkit Tenaga Listrik ditinjau dari keandalan sistem maupun ekonomi sistem tenaga listrik adalah proses peramalan atau estimasi. Penelitian ini bertujuan untuk memperkirakan konsumsi energi listrik pada sistem kelistrikan Bali jangka pendek bulanan yang berbasis pada Artificial Neural Network (ANN).Penelitian ini mengambil  data dari tahun 2005 – 2012. Data diperoleh di PT. PLN Persero Unit Bisnis Distribusi Bali.Selanjutnya data dibagi dalam dua set yaitu training set dan validation set. Perangkat lunak (software) yang digunakan untuk membantu proses peramalan tersebut adalah MATLAB R 2007b. Penelitian dengan menggunakan pendekatan ANN  ini menghasilkan error yang kecil dan MAPE (mean absolut percentage error) yang dihasilkan adalah 4.51 %. Angka ini menunjukkan bahwa model ANN memiliki ketelitian yang baik dan cukup baik digunakan untuk peramalan pada pada masa yang akan datang.
Rancang Bangun Sistem Smart Charging menggunakan Panel Surya pada Robot 6WD berbasis Mikrokontroler Arduino made yogi hendrayanto; ida bagus alit swamardika; putu arya mertasana
Jurnal Teknologi Elektro Vol 17 No 1 (2018): (Januari - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2018.v17i01.P06

Abstract

Ilmu pengetahuan dan teknologi dalam bidang robotika pada saat ini berkembang dengan sangat cepat. Teknologi robotika pada dasarnya dikembangkan dengan tujuan untuk membantu manusia dalam melakukan pekerjaan tertentu, seperti pekerjaan yang berisiko tinggi, pekerjaan yang tidak bisa dikerjakan oleh tangan manusia secara langsung dan pekerjaan yang membutuhkan ketelitian tinggi. Pada saat ini, robot masih dikendalikan secara manual oleh manusia menggunakan Baterai sebagai sumber energi robot dan melakukan pengisian secara manual. Berdasarkan hal tersebut maka ada suatu keinginan untuk berkontribusi dalam pengembangan teknologi robot 6WD yaitu dengan merancang sebuah sistem Smart charging menggunakan Panel surya sebagai sumber energi untuk melakukan pengisian baterai robot secara langsung. Sistem yang dibuat, nantinya dapat membuat robot 6WD, bergerak dengan cara manual menggunakan inputan dari komputer yang dikontrol manual dari manusia. Manusia hanya perlu menggerakkan dan dapat melihat kondisi dari 2 buah baterai robot 6WD dari Komputer, kemudian komunikasi yang terjadi antara komputer dengan robot dapat dilakukan secara dua arah, agar robot dapat memberikan informasi balik kepada komputer, baik itu daya baterai, loss area dan lain sebagainya.Arduino Mega 2560 digunakan sebagai sistem utama yang mengolah semua data input dan output pada sistem. Modul HM-TRP befungsi untuk mengirimkan data dari robot ke komputer untuk ditampilkan.Pengiriman informasi robot 6WD meliputi informasi kondisi status 2 buah baterai, arus baterai, tegangan baterai, dan arah dari gerakan robot yang akan dikendalikan melalui GCS(Ground Control Station). [TURNITIN CHECK 8%, 18042017]
PERAMALAN BEBAN LISTRIK JANGKA PENDEK DI BALI MENGGUNAKAN PENDEKATAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) Putu Arya Mertasana; Gde Dyana Arjana
Jurnal Teknologi Elektro Vol 11 No 1 (2012): (January - June) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

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Abstract

Dalam operasi sistem tenaga listrik diperlukan suatu peramalan beban listrik. Metode yang digunakan dalam meramalkan beban listrik, salah satunya adalah metode ANFIS. Dalam penelitian ini dilakukan peramalan beban listrik jangka pendek yakni peramalan beban listrik mingguan pada sistem kelistrikan Bali. Struktur ANFIS yang dilatih menggunakan model ANFIS Takagi-Sugeno dengan algoritma hybrid, 3 masukan data pelatihan untuk 1 data target, fungsi keanggotaan tipe Gbell dengan 4 fuzzy set, MSE sebesar 1e-04 dan training epoch sebanyak 540 kali. Hasil peramalan menggunakan metode ANFIS selanjutnya dibandingkan dengan hasil peramalan menggunakan metode ANN. Dari simulasi yang dilakukan, diperoleh MAPE peramalan menggunakan ANFIS sebesar 0,000293275%, sedangkan MAPE peramalan menggunakan ANN sebesar 0,160443776%. Dari hasil perbandingan tersebut, dapat dikatakan bahwa peramalan beban listrik mingguan menggunakan metode ANFIS memiliki tingkat akurasi peramalan yang lebih baik dibandingkan peramalan beban listrik mingguan menggunakan metode ANN.
Co-Authors Ade Aprilio Kedeo Bara Yuda Gautama Boy Aribana Depari Dewa Agung Krishna Arimbawa Dewa Agung Krishna Arimbawa P Dewa Ayu Putri Wulandari Dewa Made Wiharta Duman Care Khrisne Eka Lilla Ananta Gede Putu Nuratjaya Hanif Prio Ariantono I Dewa Made Krisnayana I Gede Dyana Arjana I Gst Agung Putu Raka Agung I Gusti Ngurah Wira Partha I Komang Yogi Sutrisna I Made Arsa Suyadnya I Made Dedi Pradnya Iswara I Made Mataram I Made Oka Widyantara I Made Rian Yuliawan I Nyoman Angga Prabawa I Nyoman Angga Prabawa I Putu Alit Putra Yudha I Wayan Surya Pramana I. B. G. Manuaba Ida Bagus Gede Manuaba Indah Cahya Dewi Indra Sukadiana Putra K.O. Saputra Kadek Ary Budi Permana Komang Oka Saputra L Linawati Lie Jasa Linawati Linawati Made Pasek Agus Ariawan Made Sudarma made yogi hendrayanto Ni Made Ary Esta Dewi Wirastuti Philipus Novenando Mamang Weking Pratolo Rahardjo Putu Risanti Iswardani Tjok Gede Indra Partha W. Setiawan Y. P. Sudarmojo