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Cherry Galatia Ballangan
Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Kristen Petra
Computer Science & IT

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SEBARAN STASIONER PADA SISTEM BONUS-MALUS SWISS SERTA MODIFIKASINYA (Stationary Distribution of Swiss Bonus-Malus System and its Modification) Ballangan, Cherry Galatia; Sumarno, Hadi
Jurnal Informatika Vol 3, No 2 (2002): NOVEMBER 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (76.489 KB) | DOI: 10.9744/informatika.3.2.pp. 97-103

Abstract

Bonus-Malus System is a system in actuary that introduce the premium class (state) partition, where the state is influenced by the number of annual claims reported by the policy holder. We could base the determination of the state on the stationary distribution that represent the number of policy holders in any state. Swiss Bonus-Malus System has 22 state. The number of state that involved in this system result in the difficulty of stationary distribution determination. Therefore, the aim of this paper is to study a method to obtain stationary distribution of Swiss Bonus-Malus System by recursive formula, with this recursive formula, the stationary distribution of Swiss Bonus-Malus System can be determined easier. Modification of this system with infinite state result in the changes of recursive formula to obtain the stationary. This changes including the determining of base value of the recursive formula. Abstract in Bahasa Indonesia : Sistem Bonus-Malus merupakan sistem dalam aktuaria yang memperkenalkan pembagian kelas premi (state) yang dipengaruhi oleh jumlah klaim yang diajukan oleh pemegang polis tiap tahunnya. Penetapan state dalam sistem ini didasarkan pada pencarian sebaran stasioner yang menyatakan banyaknya pemegang polis dalam tiap state. Sistem Bonus-Malus Swiss (BMS) memiliki 22 state. Banyaknya state yang terlibat dalam sistem ini mengakibatkan sulitnya penentuan sebaran stasioner pada sistem BMS tersebut. Karena itu dalam tulisan ini dipelajari suatu metode penentuan sebaran stasioner dari sistem BMS tersebut, yaitu dengan menggunakan formula rekursif. Dengan formula rekursif ini, sebaran stasioner sistem BMS dapat ditentukan dengan mudah. Modifikasi sistem BMS untuk jumlah state yang tak hingga mengakibatkan perubahan pada formula rekursif untuk mencari sebaran stasionernya. Perubahan ini meliputi penetapan nilai awal dari formula rekursif tersebut. Kata kunci: sebaran stasioner, formula rekursif, sistem Monus-Malus Swiss.
A LIGHT-WEIGHT MVC (MODEL-VIEW-CONTROLLER) FRAMEWORK FOR SMART DEVICE APPLICATION Laksana, Budi Darma; Ballangan, Cherry Galatia
Jurnal Informatika Vol 7, No 1 (2006): MAY 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (152.475 KB) | DOI: 10.9744/informatika.7.1.pp. 47-55

Abstract

In this paper, a light-weight MVC framework for smart device application is designed and implemented. The primary goal of the work is to provide a MVC framework for a commercial smart device product development. To this end, the developed framework presents integration between the classic design patterns, MVC and state-of-the-art technology XAML by adapting a MVC framework of an open source XAML efforts, MyXaml into .NET Compact Framework. As the compact framework only comprises 12% of .NET Framework library, some design and architectural changes of the existing framework need to be done to achieve the same abstraction level. The adapted framework enables to reduce the complexity of the smart device application development, reuse each component of the MVC separately in different project and provide a more manageable source code as the system architecture is more apparent from the source code itself as well as provide a commonality of the development pattern. A prototype of simple database interface application was built to show these benefits.
COMPARISON OF THREE DIFFERENT IMAGE FORCES FOR ACTIVE CONTOURS ON ABDOMINAL IMAGE BOUNDARY DETECTION Ballangan, Cherry Galatia
Jurnal Informatika Vol 6, No 2 (2005): NOVEMBER 2005
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.529 KB) | DOI: 10.9744/informatika.6.2.pp. 71-75

Abstract

Active contour, or snake, is an energy minimizing spline that is useful in image boundary detection. Active contours are stimulated by internal forces, image forces and external forces which maintain the shape of the contours while attract the contours to some desired features, usually edges. Problems in implementing active contours such as convergence and initialization have motivated researchers to modify image forces of the active contours. This paper presents a comparative study among three different image forces: traditional snakes, balloon and gradient vector flow (GVF). The study is validated by experiments on abdominal image boundaries detection. These lead to the conclusion that GVF gives the most appropriate results among the other approaches.
APLIKASI SEGMENTASI GAMBAR DENGAN MENGGUNAKAN METODE LEVEL SET Gunadi, Kartika; Ballangan, Cherry Galatia; Siswanto, Yohan
Jurnal Informatika Vol 8, No 2 (2007): NOVEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/informatika.8.2.pp. 130-133

Abstract

Today, manipulating an image become easier because of the advance of image processing technology. These technologies include segmentation on digital image which allows users to extract a particular object from an image to be processed individually. One of image segmentation methods is Level Set which track propagating curve. Curve will evolve until it stops at the border of an object in a image. The experiments in this research has validated that Level Set method can be used in image segmentation and the result will be better in images that have solid colors. Abstract in Bahasa Indonesia : Saat ini, manipulasi gambar menjadi semakin mudah dilakukan, salah satu penyebabnya adalah segmentasi pada gambar digital. Dengan segmentasi gambar maka di dalam suatu gambar setiap obyek dapat dibedakan satu sama lain , sehingga memudahkan untuk mengolah masing-masing obyek. Level Set adalah metode untuk mendeteksi pergerakan kurva yang dapat digunakan untuk melakukan segmentasi gambar. Kurva akan bergerak sampai pada akhirnya berhenti pada border dari obyek dalam sebuah gambar. Pengujian yang telah dilakukan dalam karya ilmiah ini membuktikan bahwa Metode Level Set dapat digunakan untuk segmentasi gambar dalam berbagai bentuk, baik itu cembung maupun cekung, dan hasilnya akan jauh lebih baik apabila gambar yang digunakan tidak memiliki variasi warna yang banyak (solid), seperti gambar kartun. Kata kunci: level set, active contour, segmentasi gambar
Co-Authors Budi Darma Laksana Hadi Sumarno Kartika Gunadi Yohan Siswanto