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Journal : Jurnal ULTIMATICS

Penggunaan Teknik Data Mining untuk Manajemen Resiko Sistem Informasi Rumah Sakit Ni Made Satvika Iswari
Ultimatics : Jurnal Teknik Informatika Vol 3 No 2 (2011): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.961 KB) | DOI: 10.31937/ti.v3i2.300

Abstract

Rumah sakit merupakan sebuah organisasi yang sangat kompleks. Didalamnya terdapat berbagai elemen, seperti dokter dan perawat yang melakukan tugasnya, yaitu menyediakan layanan kesehatan. Perkembangan saat ini, seluruh data informasi rumah sakit disimpan secara elektronik dalam sistem informasi rumah sakit. Informasi inilah yang akan digunakan untuk menentukan resiko-resiko yang dapat menghambat berjalannya sistem informasi dengan baik. Adapun teknik yang digunakan adalah teknik data mining, yang bernama risk mining. Pada makalah ini, akan dijelaskan mengenai teknik risk mining, untuk menganalisis resiko pada sistem informasi rumah sakit. Selain itu, pada bagian analisis akan dilakukan perbandingan antara pendekatan teknik data mining ini dengan proses manajemen resiko yang diperkenalkan oleh NIST.
Tinjauan Proses Elisitasi Kebutuhan Perangkat Lunak Menggunakan Metode Agile Ni Made Satvika Iswari
Ultimatics : Jurnal Teknik Informatika Vol 4 No 1 (2012): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.611 KB) | DOI: 10.31937/ti.v4i1.306

Abstract

Proses elisitasi kebutuhan perangkat lunak dengan menggunakan metode agile didasari oleh kebutuhan yang terus berubah seiring dengan berjalannya proses pembangunan perangkat lunak. Agent Based Goal Elicitation (ATABGE) merupakan sebuah teknik elisitasi kebutuhan yang menggunakan pendekatan agile. Teknik ini menggunakan initial goals kemudian mendekomposisinya menjadi subgoals yang dilakukan oleh stakeholder. Namun teknik ini perlu ditinjau kembali pada bagian Pre-Sprint, yang menyatakan bahwa initial goals ditentukan oleh analyst, padahal ini akan menyebabkan kebutuhan yang didapatkan menjadi tidak murni dari stakeholder. Selain itu, pada tahap Sprint, para stakeholder sepertinya perlu untuk diberikan prioritas wewenang untuk menentukan hasil. Secara keseluruhan, penggunaan metode agile juga memiliki beberapa kekurangan, yaitu kesulitan dalam menentukan estimasi biaya sejak awal proyek dan kesulitan dalam menentukan arsitektur perangkat lunak yang akan dibangun. Index Terms—requirement engineering, elicitation, agile, ATABGE, goals, agent
Review Perangkat Lunak StarUML Berdasarkan Faktor Kualitas McCall Ni Made Satvika Iswari
Ultimatics : Jurnal Teknik Informatika Vol 7 No 1 (2015): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1181.631 KB) | DOI: 10.31937/ti.v7i1.352

Abstract

Pembangunan perangkat lunak dilakukan berdasarkan hasil analisis kebutuhan fungsional yang diperlukan. Seringkali, perangkat lunak yang dikembangkan hanya cukup memenuhi kebutuhan fungsional dasar saja, padahal hal tersebut belum cukup untuk menjadikan perangkat lunak yang dibangun memiliki kinerja yang baik ketika dioperasikan. Terdapat beberapa faktor kualitas yang perlu diperhatikan yang akan menentukan kinerja perangkat lunak yang dibangun. Pada tulisan ini, akan diuraikan hasil analisis faktor kualitas terhadap kakas pemodelan perangkat lunak yang banyak digunakan, yaitu StarUML.
Sistem Pendukung Keputusan Pemilihan Taksi Berbasis Web dengan Algoritma Pencarian Linear Bimo Satriantoro; Ni Made Satvika Iswari
Ultimatics : Jurnal Teknik Informatika Vol 7 No 2 (2015): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1030.374 KB) | DOI: 10.31937/ti.v7i2.362

Abstract

Indonesian people have a high interest for public transportation. There are few kind of public transportation, and taxi is one of them. Taxi use taximeter to calculate passanger fares. Taximeters between taxi companies are different in term of results although using the same equation and principle. The total fare from the taximeter is based on equation that includes distance variable, speed of the vehicle, and time variable. People have a problem to choose taxi because of the differnces of taximeter fares and taxi pool. Based on the problem, the solution is an application to help customer to decide choosing taxi. The application will help customer by giving informations about taximeter and carpool form two different company. The informations are based on the distance of the start point and the finish point of the customer and based on the distances of the customer and the carpool of the taxy company that will processed trough the application to calculating the total fares for the customer between two taxi companies. By using algorithm for linear searching, customer will get the informations to help them to decide which taxi the customer will use. Keywords: Linear Algorithm, Taximeter, Google Apps, Choice, Taxi
Rancang Bangun Aplikasi Pendeteksi Penyakit Ginjal Kronis dengan Menggunakan Algoritma C4.5 Robi Rianto; Ni Made Satvika Iswari
Ultimatics : Jurnal Teknik Informatika Vol 9 No 1 (2017): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.983 KB) | DOI: 10.31937/ti.v9i1.558

Abstract

Kidneys are two bean-shaped organs, each about the size of a fist. They are located just below the rib cage, one on each side of the spine. Kidneys are vital organs contained in the human body and serve to filter the blood of metabolic waste product and throw it in the form of urine. Given the changing conditions in the body can affect the kidneys, causing a decrease in the function of these organ and lead to chronic kidney disease. In an article on the website of the National Institute of Diabetes and Digestive and Kidney Diseases (2014) argued that chronic kidney disease is a silent disease, in which patients appear normal and show no symptomp but the test results stating the patient’s kidney function had decreased. Based on the above information, the research on how to detect chronic kidney disease will be conducted. Applications built on the basis of desktop and using Decision Tree algorithm C4.5. The trial was conducted to determine how much the level of accuracy that can be generated by the application. The testing process is done by using cross-validation and based on the results already calculated this application has an accuracy of 91.50% at the time of the decision tree is made without using preprocess menu. Index Terms— C4.5, chronic kidney disease, decision tree, detection system.
Rancang Bangun Aplikasi Chatbot Sebagai Media Pencarian Informasi Anime Menggunakan Regular Expression Pattern Matching David Domarco; Ni Made Satvika Iswari
Ultimatics : Jurnal Teknik Informatika Vol 9 No 1 (2017): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.773 KB) | DOI: 10.31937/ti.v9i1.559

Abstract

Technology development has affected many areas of life, especially the entertainment field. One of the fastest growing entertainment industry is anime. Anime has evolved as a trend and a hobby, especially for the population in the regions of Asia. The number of anime fans grow every year and trying to dig up as much information about their favorite anime. Therefore, a chatbot application was developed in this study as anime information retrieval media using regular expression pattern matching method. This application is intended to facilitate the anime fans in searching for information about the anime they like. By using this application, user can gain a convenience and interactive anime data retrieval that can’t be found when searching for information via search engines. Chatbot application has successfully met the standards of information retrieval engine with a very good results, the value of 72% precision and 100% recall showing the harmonic mean of 83.7%. As the application of hedonic, chatbot already influencing Behavioral Intention to Use by 83% and Immersion by 82%. Index Terms—anime, chatbot, information retrieval, Natural Language Processing (NLP), Regular Expression Pattern Matching
Perbandingan Algoritma kNN, C4.5, dan Naive Bayes dalam Pengklasifikasian Kesegaran Ikan Menggunakan Media Foto Ni Made Satvika Iswari; Wella Wella; Ranny Ranny
Ultimatics : Jurnal Teknik Informatika Vol 9 No 2 (2017): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1300.652 KB) | DOI: 10.31937/ti.v9i2.659

Abstract

Indonesia merupakan negara kepulauan yang memiliki berbagai jenis keanekaragaman ikan. Potensi perikanan laut sebesar 6,5 juta ton per tahun, namun jumlah produksinya hanya mencapai 5,06 juta ton. Hal ini menunjukan proses produksi belum optimal. Proses produksi serta pemilahan yang masih tradisional membuat produksi berjalan lambat. Dalam penelitian ini dikembangkan sebuah metode untuk mengklasifikasikan kesegaran ikan berdasarkan citra digital ikan. Adapun algoritma yang digunakan adalah kNN, C4.5, dan Naïve Bayes. Berdasarkan hasil uji coba yang dilakukan, algoritma kNN memberikan nilai akurasi yang tertinggi diantara algoritma lainnya. Sehingga kNN dinilai cocok digunakan untuk mengklasifikasikan kesegaran ikan. Metode yang dihasilkan dalam penelitian ini diharapkan dapat membantu mengotomatisasi proses produksi yang sebelumnya manual. Index Terms — kNN, C4.5, Naïve Bayes, Pengolahan Citra Digital, Tingkat Kesegaran Ikan.
E-Business Software Product Line Methodology Based on SMEs Characteristics Ni Made Satvika Iswari; Eko Kuswardono Budiardjo; Zainal Arifin Hasibuan
ULTIMATICS Vol 14 No 1 (2022): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v14i1.2642

Abstract

The growth of Small and Medium Enterprises (SMEs) will certainly have a positive influence on economic development in a country. However, many SMEs struggle to survive, grow, and show limited productivity. It was recorded that there were around 63.9% of SMEs in Indonesia whose turnover had decreased by more than 30% during the COVID-19 pandemic. Among the factors that cause the low survival rate of SMEs, a factor that is considered critical is the lack of success in the use of e-business. The use of e-business by SMEs is not a one-size-fits-all solution, because SMEs have various characteristics. In this study, an E-Business Software Product Line Methodology based on SMEs characteristics was proposed using Software Product Line Engineering (SPLE) approach. In general, the proposed methodology was sufficient to describe the aspects needed in building a software development methodology. Aspects that had not been described were those related to software project management. The proposed methodology is useful for building an e-business application platform that can be customized based on SMEs characteristics.
Analysis of User-generated Content in Visitor Reviews of Tourist Attractions Using Semantic Similarity Ni Made Satvika Iswari; I Gede Juliana Eka Putra
ULTIMATICS Vol 15 No 1 (2023): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v15i1.3139

Abstract

The tourism industry plays an important role in the world economic sector because it makes a significant contribution to the global economy, creates jobs, and strengthens economic growth. Therefore, visitor satisfaction is very important in this industry. Currently tourists use information in online media to find tourist attractions that suit their needs and expectations. Reviews of tourist attractions are growing on the internet. Customers can post reviews, recommendations, or ratings of a tourist spot. Online reviews in the form of User-generated Content (UGC) can provide benefits for business managers to obtain feedback from customers and improve certain product attributes or service characteristics in order to increase business value and support marketing activities. In this study, data collection will be carried out from one of the UGC tourism data sources, namely visitor reviews on Google Maps. Data analysis was performed using the natural language processing method. Analysis of these data will produce comprehensive information about tourist feedback.