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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Sains dan Teknologi Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYA LAKSANA Seminar Nasional Aplikasi Iptek (SINAPTEK) Jurnal Pengabdian Informatika (JUPITA) Jurnal aplikasi IPTEK Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Wayan Supriana
Universitas Udayana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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METODE PENALARAN BERBASIS KASUS (CASE BASE REASONING) DALAM PENENTUAN KELAYAKAN SEKOLAH PERAWATAN I Wayan Supriana; Kiki Dwi Prebiana
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 3 No. 1 (2020): Jurnal RESISTOR Edisi April 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v3i1.554

Abstract

Nurse is a job that has many roles in everyday life. Obtained from the ability to become a nurse. In 1980, there was an explosion in the number of registrants at the Ljubljana nursing school, Slovenia. The data is then collected in a data collected data that is a nursery dataset. There are several things related to health conditions, family status, financial conditions and other things that are considered feasible or not to enter the nursing school. A system that can be used for this problem needs to be created. In this study, a system will be made by applying the method of punishment based on cases and classifying domains to increase computational time. Each new case will be calculated the similarity value to the old case using the Bayes naive algorithm. The system built will produce a decision about whether or not the applicant is suitable in nursing school. Of the 100 data tested, 96 data were obtained that produced true values. With a computing time between 0.253 seconds - 0.607 seconds.
SISTEM REKOMENDASI MUSIK BERDASARKAN DATA KONTEKS PADA LISTENING HISTORY MUSIK DAN KETERKAITAN ARTIS INDONESIA Gst Ayu Vida Mastrika Giri; Made Leo Radhitya; Made Agung Raharja; I Wayan Supriana
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v5i1.1044

Abstract

A large number of digital music circulates online today. It makes music listeners confused to choose which music is suitable to listen to in certain circumstances or contexts, for example certain time, weather, activity, and desired mood. Playlist creation can make it easy for music listeners to collect their favorite music for a particular context, but creating playlists is time consuming and of course a lot of playlists will have to be created to accommodate all combinations of contexts. In this study, an automated music recommendation system was built using context data consisting of time, weather, activities, and desired mood which were also adjusted for the listener's age, gender, and favorite artist. The method used is Case-Based Reasoning (CBR), using listeners' listening history data as a knowledge base and the artist relatedness of Indonesian artists to improve solutions at the revision stage. Output of this system is in the form of music playlist presented in a website. The overall precision average for music recommendations is 0.78.
IMPLEMENTASI METODE MEL-FREQUENCY CEPSTRAL COEFFICIENT DAN DTW PADA APLIKASI PENGENALAN SUARA TEMBANG SEKAR ALIT Made Agung Raharja; I Putu Gede Adiatmika; I Nyoman Adiputra; Susy Purnawati; I Wayan Supriana
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v5i1.1081

Abstract

The province of Bali has various types of songs that have different structures and functions, one of which is the Sekar Alit song. Seeing current technological advances, conservation efforts should follow the development of existing technology. This study recognizes the singer's voice with the MeliFrequency iCepstrum Coefficients (MFCC) method used to perform feature extraction, i.e. to obtain a parameter and information regarding the characteristics of a person's voice and the training of voice pattern matching against the voice of the DTW Singer Alit (Dinamic) and the Time Warping Alit method. . So that the final result of this research is an android-based tembang sekar alit learning application that can be used by students to learn more easily and effectively which is called the SekARAI application. The results of usability testing on the application found that the average value was above 3, which means that the SekARAI software that has been implemented has met the Usability element and besides that the software is easy to use and understand by users. The Sekar Alit Song Voice Recognition application has been evaluated using the confusion matrix method, it is found that the MFCC algorithm test results in an accuracy of 76.6%.
IMPLEMENTASI SISTEM PERAMALAN JUMLAH KEDATANGAN WISATAWAN ASING KE BALI MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN (JST) Made Agung Raharja; I Wayan Supriana; Gerson Feoh
Jurnal Teknologi Informasi dan Komputer Vol 4, No 2 (2018): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTThe arrival of tourists to Bali is unstable every year to be obstacles of the perpetrators of special tourism in Bali in taking an action. To make a careful planning, the related parties need a quick overview of the pattern of the development of foreign tourist arrivals to Bali. The researchers applied many artificial neural network (JST) methods with various training algorithms to get good forecasting results. The research method used in SDLC software development method but in this study is limited to the design stage of the system. Indicator of growth rate of foreign tourist visit (foreign tourists) using variable among others Investment, Net Export, Inflation and Exchange Rate. Based on the Analysis and Design of Information System of Forecasting Number of Foreign Tourist Arrivals To Bali Using ANN successfully analyzed and designed using SDLC software development method. The results of this study are, Knowing what the user needs in Analysis, Design Information Systems Forecasting the Number of Foreign Tourist Arrivals To Bali Using ANN Method. The thing that was done was, the training used 30 data training data which produced a coefficient of 0.98399 and an MSE value of 0.0009994. ANN architecture in the training process then to calculate time. The coefficient obtained in the credit process is 0.76623. While the resulting MSE value is 260.66.Keywords: Neural Network (JST), Backpropagation ,Bali touristABSTRAKKedatangan wisatawan ke Bali yang tidak stabil tiap tahunnya menjadi kendala para pelaku wisata khsusunya di Bali dalam mengambil suatu tindakan. Untuk membuat suatu perencanaan yang cermat, pihak yang terkait memerlukan gambaran sekilas tentang pola perkembangan kedatangan wisatawan mancanegara ke Bali. Para peneliti banyak menerapkan metode jaringan syaraf tiruan (JST) dengan berbagai algoritma pelatihan untuk mendapatkan hasil peramalan yang baik. Metode penelitian yang di gunakan mengunakan metode pengembangan perangkat lunak SDLC akan tetapi pada penelitian ini dibatasi sampai tahap rancangan sistem. Indikator laju pertumbuhan kunjungan wisatawan asing mancanegara (wisman) mengunakan variable anatara lain Investasi, Ekspor neto, Inflasi dan Kurs Rupiah. Berdasarkan hasil Analisis Dan Perancangan Sistem Informasi Peramalan Jumlah Kedatangan Wisatawan Asing Ke Bali Menggunakan JST berhasil di analisis dan dirancang mengunakan metode pengembangan perangkat lunak SDLC. Hasi dari penelitian ini adalah, Proses pelatihan menggunakan data pelatihan sebanyak 30 data yang menghasilkan koefisien korelasi sebesar 0,98399 dan nilai MSE sebesar 0.0009994. Arsitektur JST pada proses pelatihan kemudian digunakan untuk menghitung peramalan kedatangan wisatawan asing pada proses pengujian. Koefisien korelasi yang diperoleh pada proses pengujian adalah sebesar 0,76623. Sedangkan nilai MSE yang dihasilkan adalah sebesar 260,66.Kata kunci: Jaringan Syaraf Tirun (JST), Backpropagation, wisatawan Bali
IMPLEMENTASI K-NEAREST NEIGHBOR PADA PENENTUAN KELUARGA MISKIN BAGI DINAS SOSIAL KABUPATEN TABANAN I Wayan Supriana; Luh Gede Astuti
Jurnal Teknologi Informasi dan Komputer Vol 5, No 1 (2019): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACT Poverty is one of the problems prioritized for completion by the central government or the regions. This condition seems to have no limits because every year the problem of poverty is an issue that has always been a discussion of the government. As in Bali, even though the tourism industry is growing very rapidly, until now the problem of poverty is still a fundamental problem that needs to be resolved. Based on data from the Central Statistics Agency in 2016 the poverty rate of the province of Bali is 4.25% and one of the districts that has a higher poverty rate than the province is Tabanan Regency [1]. Various poverty alleviation programs have been implemented to break the cycle of poverty. However, poverty alleviation programs that have been implemented by the Tabanan regional government are still not optimal. In overcoming these problems, this study has the aim of creating an application system that can identify the conditions of households in Tabanan regency. The system built will identify a family based on 5 welfare categories so that it will provide an easy assessment for the poverty program survey officers. The system development model uses the K-Nearest Nighbor algorithm in modeling and classifying households. The results showed the system had an assessment accuracy rate of 83% Keywords: Poverty, Poor Households, K-Nearest Neighbor ABSTRAK Kemiskinan menjadi salah satu permsalahan yang diprioritaskan untuk di selesaikan oleh pemerintah pusat maupu daerah. Kondisi ini seakan tidak ada batasnya karena setiap tahun permasalahan kemiskinan merupakan isu yang selalu menjadi pembahasan pemerintah. Seperti halnya di provinsi bali, meskipun industri pariwisata berkembang sangat pesat namu sampai saat ini permasalahan kemiskinan masih menjadi permasalahan mendasar yang perlu diselesaikan. Berdasarkan data Badan Pusat Statistik tahun 2016 tingkat kemiskinan provinsi bali sebesar 4,25% dan salah satu kabupaten yang memiliki tingkat kemiskinan lebih tinggi dari provinsi adalah Kabupaten Tabanan [1]. Berbagai program pengentasan kemiskinan sudah dilaksanakan untuk memutus siklus kemiskinan yang terjadi. Namun program-program pengentasan kemiskinan yang sudah dilaksanakan pemerintah daerah Tabanan masih belum optimal. Dalam mengatasi permasalahan tersebut, pada penelitian ini memiliki tujuan untuk membuat sistem aplikasi yang dapat mengidentifikasi kondisi rumah tangga yang ada di kabupaten Tabanan. Sistem yang dibangun akan mengidentifikasi sebuah keluarga berdasarkan 5 katagori kesejahteraan sehingga akan memberikan kemudahan penilaian untuk petugas pendata program kemiskinan. Model pengembangan sistem menggunakan algoritma K-Nearest Nighbor dalam memodelkan dan mengklasifikasi rumah tangga. Hasil penelitian menunjukkan sistem memiliki tingkat akurasi penilaian sebesar 83% Kata Kunci : Kemiskinan, Rumah Tangga Miskin, K-Nearest Neighbor
PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI SURVEY FAKULTAS DENGAN METODE MODEL VIEW CONTROLLER (MVC) DI UNIVERSITAS DHYANA PURA Mrs Megawati; Gerson Feoh; I Wayan Supriana
Jurnal Teknologi Informasi dan Komputer Vol 3, No 2 (2017): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACT  In this era of globalization is going very fast. Information systems have become a necessityin all aspects of life. Not only that, today information technology has even become the backbone ofhuman life in the provision and provision of information. Through the internet is very helpful toprovide ideas for writers to create a campus website that can provide information for the visitors. At Dhyana Pura University as part of the community in Bali which organizes educationalactivities as a form of care and service to others in order to liberate people from ignorance,backwardness, alienation, and poverty. The information presented at Dhyana Pura University is a lotof one of the Faculty's information. In the design built there will be an addition to the studentsatisfaction survey. At Dhyana University Pura has two Faculties namely, Faculty of Economics &Humanities and Faculty of Health Sciences, Science, and Technology. For prospective students canchoose which faculty will be taken.Keywords - Dhyana Pura University, Information System, PHP And MySQL, Website, Model ViewController. ABSTRAK Di era globalisasi saat ini berlangsung sangat cepat. Sistem informasi sudah menjadi sebuahkeharusan dalam segala aspek kehidupan. Tak hanya itu, saat ini teknologi informasi bahkan telahmenjadi tulang punggung kehidupan manusia dalam penyediaan dan pemberian informasi. Melalui internet tersebut sangat membantu memberikan ide bagi penulis untuk membuat suatu website kampusyang bisa memberikan informasi bagi para pengunjungnya. Di Universitas Dhyana Pura ini sebagai bagian dari masyarakat di Bali yangmenyelenggarakan kegiatan pendidikan sebagai bentuk kepedulian dan pelayanan kepada sesamadengan tujuan untuk membebaskan masyarakat dari kebodohan, keterbelakangan, keterasingan, dankemiskinan. Informasi yang disajikan di Universitas Dhyana Pura ini banyak sekali salah satunyainformasi Fakultas. Pada rancangan yang dibangun akan ada penambahan untuk survey kepuasanmahasiswa. Di Universitas Dhyana Pura memiliki dua Fakultas yaitu, Fakultas Ekonomika &Humaniora dan Fakultas Ilmu Kesehatan, Sains, dan Teknologi. Bagi calon mahasiswa dapat memilihFakultas mana yang akan diambil.  Kata Kunci – Universitas Dhyana Pura, Sistem Informasi, PHP Dan MySQL, Website, Model ViewController.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMA BANTUAN BEDAH RUMAH DI DESA SENGANAN I Wayan Supriana; IWK. Teja Sukmana
Jurnal Teknologi Informasi dan Komputer Vol 2, No 2 (2016): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTThis study aims to provide an alternative decision to field surgical aid distribution in the village especially the Village Senganan . Currently the determination of beneficiaries surgical konvensioal still done by the local government assessment team . For the purposes of data collection for the selection of the applicant required an assessment made at the village level before submission to the local government level . Data from the prospective applicant eligibility assessment and then be submitted to the local government level . The basis of this research is the absence of a standard assessment submission acceptance surgical assistance at the village level . Assessment of prospective applicant for submission to the local government level only to the extent of the team estimates only village officials . The results obtained in this research is to get accurate information to log the applicant filing surgical assistance to the level of local governments.Keywords : house surgical assistance , assessment standards , eligibilityABSTRAKPenelitian ini bertujuan untuk memberikan alternatif keputusan kepada bidang penyaluran bantuan bedah rumah di tingkat desa khususnya Desa Senganan. Saat ini penentuan penerima bantuan bedah rumah masih dilakukan secara konvensioal berdasarkan penilaian tim pemerintah daerah. Untuk keperluan pendataan kelayakan calon pemohon diperlukan suatu penilaian yang dilakukan di tingkat desa terlebih dahulu sebelum pengajuan ke tingkat pemerintah daerah. Data hasil penilaian kelayakan calon pemohon baru kemudian di ajukan ke tingkat pemerintah daerah. Hal yang mendasari penelitian ini dilakukan adalah belum adanya standar penilaian pengajuan penerimaan bantuan bedah rumah di tingkat desa. Penilaian calon pemohon untuk pengajuan ke tingkat pemerintah daerah hanya sebatas perkiraan saja dari tim aparat desa. Hasil yang diperoleh dalam penelitian ini adalah mendapatkan informasi yang akurat dalam mendata pemohon pengajuan bantuan bedah rumah ketingkat pemerintah daerah.Kata Kunci: bantuan bedah rumah, standar penilaian, kelayakan
ANALISIS KLASIFIKASI TINGGKAT KESEHATAN LEMBAGA PERKREDITAN DESA (LPD) MENGGUNAKAN METODE K-MEANS CLUSTERING Made Agung Raharja; I Wayan Supriana
Jurnal Teknologi Informasi dan Komputer Vol 5, No 1 (2019): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTLembaga Perkreditan Desa (LPD) is one of the institutional elements of the Pakraman Village that carries out the financial functions of the Pakraman Village. In this study, research was conducted on LPDs throughout Klungkung Regency. To strengthen their trust in the LPD, the LPD needs to maintain its health level by taking into account the factors that determine the level of health itself. To measure the health of LPDs, it can be done through the information presented in the LPD's financial statements. Capital, Assets, Earning and Liquidity (CAEL) are the determinants of LPD health levels. So the writer will classify the health status of LPD in detail, in classifying the health status of this LPD, the flow method will be used according to how much the factors that are owned by each LPD in Klungkung Regency. K-means is a non-hierarchical clustering method that attempts to partition existing data into one or more clusters. The rules and methods of the K-Means algorithm can be applied to a program to classify data on the level of LPD health. The steps of the K-Means algorithm are translated into programming languages to perform data clustering tasks. Based on its use, the system built has been able to be used to process LPD data clustering based on the attributes of criteria in determining the health level of LPDs. This is seen from the results of testing the needs of system functionality that has been fulfilled.Keywords : LPD health, K-Means clustering, Klungkung LPDABSTRAKLembaga Perkredian Desa (LPD) merupakan salah satu unsur kelembagaan Desa Pakraman yang menjalankan fungsi keuangan Desa Pakraman. Pada penelitian ini dilakukan penelitian pada LPD seluruh Kabupaten Klungkung. Untuk memperkuat kepercayaannya kepada LPD, maka LPD perlu menjaga tingkat kesehatannya dengan memperhatikan faktor-faktor yang menentukan tingkat kesehatan itu sendiri. Untuk mengukur kesehatan LPD dapat dilakukan melalui informasi yang disajikan dalam laporan keuangan LPD yang bersangkutan. Capital, Assets, Earning dan Liquidity (CAEL) merupakan faktor-faktor penentu tingkat kesehatan LPD. Maka penulis akan mengklasifikasikan status kesehatan LPD secara detail, dalam pengklasifikasian status kesehatan LPD ini akan digunakan metode alur sesuai dengan berapa nilai faktor-faktor yang dimiliki oleh seiap LPD di Kabupaten Klungkung. K-means merupakan salah satu metode clustering non hirarki yang berusaha mempartisi data yang ada ke dalam bentuk satu atau lebih cluster. Aturan dan metode algoritma K-Means dapat diterapkan pada sebuah program untuk mengelompokkan data – data status kesehaan LPD dan. Langkah-langkah algoritma K-Means diterjemahkan ke dalam bahasa pemrograman untuk melakukan tugas clustering data. Berdasarkan penggunaannya, sistem yang dibangun sudah mampu digunakan untuk melakukan proses clustering data LPD berdasarkan atribut kriteria dalam penentuan tingkat kesehatan LPD. Hal tersebut dilihat dari hasil pengujian terhadap kebutuhan fungsionalitas sistem yang telah terpenuhi.Kata kunci: Kesehatan LPD, K-Means clustering , LPD Klungkung
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PENGGUNAAN PUPUK KIMIA PADA TANAMAN JAGUNG DENGAN METODE AHP I Wayan Supriana
Jurnal Teknologi Informasi dan Komputer Vol 2, No 1 (2016): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTThis study provides an alternative to the farmers' decisions regarding the use of chemicalfertilizers, especially on maize. There are three indicators of fertilization ratings are: soil nutrients,plant species and agricultural land. Knowledge of the fertilizer by farmers today is still conventionalin nature so there is no standard rules dose of fertilizer use. Therefore built a system that can providean alternative consideration decisions for farmers.Decision Support System methods used to solve the problems in this design is the AnalyticHierarchy Process (AHP). AHP is used to combine judgments and values into one logical frameworkof thinking, so as to enable a decision can be taken effectively.Results are expected in this study were able to design a decision support system so that itsimplementation provide accurate information in fertilization, farmers can reduce production costsand agricultural products obtained can be increased.Keywords: decision support system, Analytic Hierarchy Process, fertilizingABSTRAKPenelitian ini memberikan alternatif keputusan kepada petani mengenai penggunaan pupukkimia khususnya pada tanaman jagung. Terdapat tiga indikator penilaian pemupukan yaitu: unsurhara tanah, jenis tanaman dan luas lahan pertanian. Pengetahuan tentang pemupukan oleh petani saatini sifatnya masih konvensional sehingga tidak ada aturan yang baku penggunaan takaranpemupukan. Oleh sebab itu dibangun sebuah sistem yang dapat memberikan alternatif pertimbangankeputusan bagi petani.Metode Sistem Pendukung Keputusan yang digunakan untuk menyelesaikan permasalahanpada perancangan ini adalah Analytic Hierarchy Process (AHP). AHP digunakan untukmenggabungkan penilaian-penilaian dan nilai-nilai kedalam satu kerangka berfikir yang logis,sehingga memungkinkan keputusan dapat diambil secara efektif.Hasil yang diharapkan dalam penelitian ini adalah dapat merancang sistem pendukungkeputusan sehingga dalam implementasinya memberikan informasi yang akurat dalam pemupukan,petani dapat menekan biaya produksi dan hasil pertanian yang diperoleh dapat meningkat.Kata Kunci: sistem pendukung keputusan, Analytic Hierarchy Process, pemupukan.
PERANCANGAN DAN IMPLEMENTASI E LEARNING BERBASIS WEB PADA UNIVERSITAS DHYANA PURA DENGAN METODE RANDOM MATRIX Ni Putu Dian Kartika Sari; Wayan Supriana; Made Agung Raharja
Jurnal Teknologi Informasi dan Komputer Vol 3, No 1 (2017): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTDhyana Pura University is a university that has a website as a means to provideinformation to students and the public, but on the web that is owned by the University DhyanaPura does not have E-learning facilities. One way to make teaching and learning process moreeffective and efficient is to design and implement e-learning information system so that theteaching and learning process can not only be done while in the classroom, but not limited byspace and time.E-Learning is a type of teaching learning that allows the delivery of teaching materials tostudents by using the media Internet, Intranet or other computer network media.The results of this study is a web-based information system that contains some facilitiessuch as quiz that allows students to implement quiz online. This research uses Random Matrixmethod, where the quiz which is done by the student will be randomized. Web-based onlinelearning system is built to support the process of lectures by using an electronic system, so as to beable to support a learning process and can provide a new venue about teaching learning processespecially for students at Dhyana Pura University.Keyword :Dhyana Pura University, Information System, Website, Internet, Random Matrix.ABSTRAKUniversitasDhyana Pura adalah universitas yang telah memiliki website sebagai saranauntuk memberi informasi kepada mahasiswa dan publik, namunpada web yang telah dimiliki olehUniversitas Dhyana Pura belum memiliki fasilitas E-learning.Salah satu cara untuk membuatproses belajar mengajar menjadi lebih efektif dan efisien adalah dengan merancang danmengimplementasikan sistem informasi e-learning sehingga proses belajar mengajar tidak hanyabisa dilaksanakan saat di kelas saja, tapi tidak terbatas oleh ruang dan waktu.E-Learning merupakan suatu jenis belajar mengajar yang memungkinkantersampaikannya bahan ajar ke siswa dengan menggunakan media Internet, Intranet atau mediajaringan komputer lain.Hasil penelitian ini adalah sistem informasi berbasis web yang berisi beberapa fasilitas seperti quizyang memungkinkan mahasiswa melaksanakan quiz secara online. Penelitian ini menggunakanmetode Random Matrix, dimana quiz yang kerjakan oleh mahasiswa akan diacak secara random.Sistem pembelajaran online berbasis web ini dibangun untuk menunjang proses perkuliahandengan menggunakan suatu sistem elektronik, sehingga mampu untuk mendukung  suatu prosespembelajaran dandapat memberikan vasilitasbaru mengenai proses belajar mengajar khususnyabagi mahasiswa pada Universitas Dhyana Pura.Kata kunci :UniversitasDhyana Pura, Sisteminformasi, Website, Internet, Random Matrix
Co-Authors Adiartika, Made Harry Dananjaya Agus Muliantara Anak Agung Istri Dewi Lestari Anak Agung Istri Ngurah Eka Karyawati Brahmantha, Gede Putra Aditya Devan Bramantya Dharmawangsa, I Gusti Ngurah Agung Gerson Feoh Giri, I Nyoman Yusha Tresnatama Gst. Ayu Vida Mastrika Giri I Dewa Agung Cahya Putra I Gede Ariawan Eka Putra I Gede Ariawan Eka Putra I Gede Ngurah Wahyu Ananta I Gede Santi Astawa I Gede Wilantara Jaya I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Ketut Agus Pranata Muliawan I Ketut Gede Suhartana I Ketut Gede Suhartana I Komang Roni Sudarmawan I Made Arya Dwisada I Made Satria Bimantara I Made Wahyu Purnama Putra I Made Widi Arsa Ari Saputra I Made Widiartha I Nyoman Adiputra I Putu Gede Adiatmika I WAYAN SANTIYASA Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra IGN Anom Cahyadi Putra IWK Teja Sukmana Karlina Surya Witanto Kiki Dwi Prebiana Komang Dhiyo Yonatha Wijaya Krisphino Saputra Nurbidin Liana, Laurensia Luh Arida Ayu Rahning Putri Luh Gede Astuti Luh Gede Astuti Mahardika, I Gede Teguh Marissa Audina Mrs Megawati Muhammad Firdaus Zulkarnain Ni Komang Santi Cahyani Ni Made Putri Wahyuni Ni Putu Dian Kartika Sari Nyoman Putra Prasetya Wardhana Nyoman Putra Prasetya Wardhana Partamayasa, I Wayan Gede Prashanti, Ni Putu Vidya Vira Prebiana, Kiki Dwi Putu Wida Gunawan Radhitya, Made Leo Raharja, Made Agung Sandrina Ferani Aisyah Putri Sang Putu Febri Wira Pratama subanar subanar Susy Purnawati Utama, I Putu Yasa Wiantari, Ni Wayan Zulfazazalia Putri Candra Wati