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Journal : Jurnal Informatika

AN ALGORITHM FOR GENERATING SINGLE DIMENSIONAL FUZZY ASSOCIATION RULE MINING Intan, Rolly
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 (201.009 KB) | DOI: 10.9744/informatika.7.1.pp. 61-66

Abstract

Association rule mining searches for interesting relationship among items in a large data set. Market basket analysis, a typical example of association rule mining, analyzes buying habit of customers by finding association between the different items that customers put in their shopping cart (basket). Apriori algorithm is an influential algorithm for mining frequent itemset for generating association rules. For some reasons, Apriori algorithm is not based on human intuitive. To provide a more human-based concept, this paper proposes an alternative algorithm for generating the association rule by utilizing fuzzy sets in the market basket analysis.
MINING MULTIDIMENSIONAL FUZZY ASSOCIATION RULES FROM A DATABASE OF MEDICAL RECORD PATIENTS Intan, Rolly; Yuliana, Oviliani Yenty; Handojo, Andreas
Jurnal Informatika Vol 9, No 1 (2008): MAY 2008
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (273.576 KB) | DOI: 10.9744/informatika.9.1.15-22

Abstract

Mining association rules is one of the important tasks in the process of data mining application. In general, the input as used in the process of generating rules is taken from a certain data table by which all the corresponding values of every domain data have correlations one to each others as given in the table. A problem arises when we need to generate the rules expressing the relationship between two or more domains that belong to several different tables in a normalized database. To overcome the problem, before generating rules it is necessary to join the participant tables into a general table by a process called Denormalization Process. This paper shows a process of generating Multidimensional Fuzzy Association Rules mining from a normalized database of medical record patients. The process consists of two sub-processes, namely sub-process of join tables (Denormalization Process) and sub-process of generating fuzzy rules. In general, the process of generating the fuzzy rules has been discussed in our previous papers [1, 2, 3, 4]. In addition to the process of generating fuzzy rules, this paper proposes a correlation measure of the rules as an additional consideration for evaluating interestingness of provided rules.
AN ALTERNATIVE CONCEPT OF FUZZY FUNCTIONAL DEPENDENCY BY USING CONDITIONAL PROBABILITY Intan, Rolly
Jurnal Informatika Vol 2, No 1 (2001): MAY 2001
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (81.356 KB) | DOI: 10.9744/informatika.2.1.pp. 6-12

Abstract

This paper proposes an alternative concept of Fuzzy Functional Dependency (FFD) based on the theory of conditional probability. We examine some properties of conditional probability and its relation with fuzzy sets. Moreover, approximate conditional probability of two fuzzy sets can be considered to determine the degree of similarity between two fuzzy sets. Based on this property, we propose an alternative concept of FFD and prove that it satisfies classical/crisp relational database. Abstract in Bahasa Indonesia : Sebuah alternatif konsep dari Fuzzy Functional Dependency (FFD) berdasarkan teori conditional probability diperkenalkan beberapa properties dan conditional probability dalam hubungannya dengan fuzzy sets didiskusikan. Conditional probability dan dua fuzzy sets dipertimbangkan untuk menentukan derajat kesamaan dan dua fuzzy sets. Berdasarkan konsep ini ini, diperkenalkan sebuah alternatif konsep dari FFD. Kata kunci: fuzzy sets, fuzzy functional dependency, fuzzy relational database, conditional probability.
APLIKASI PEMINJAMAN RUANGAN, KENDARAAN, PERALATAN DAN PENYAMPAIAN KELUHAN SERTA ANALISIS KETERSEDIAAN BARANG DAN KINERJA PELAYANAN PADA UPPK UNIVERSITAS KRISTEN PETRA Yoanna, Wiwie; Handojo, Andreas; Intan, Rolly
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 (331.607 KB) | DOI: 10.9744/informatika.6.2.pp. 65-70

Abstract

Unit Pelayanan dan Pemeliharaan Kampus (UPPK) Universitas Kristen Petra has a difficulty in facing the customers. Sometimes, a customer has to contact or meet UPPK staff just for asking schedule or give complain. Besides, UPPK needs a system that has ability to analyze equipments needed, base on customers' request and to analyze serving evaluation. Because of these problems, a web based system of distributing information, equipments and tools ordering, transportation ordering, room ordering, sport-field ordering, giving complain, equipments needed analysis and serving evaluation analysis is made. With this system, customers can obtain schedule information and then make an order, or giving complain, without have to meet the UPPK staff. This system is developed using PHP and MySQL as database server. The system is validated by distributing some questionnaires for UPPK staff and customers that give an average value of 3.63 (scale 1-4). Therefore, it can be concluded that this system can help to solve the problems. Besides, the systems also give a facility to analyze the serving evaluation and the need of equipments and tools. Abstract in Bahasa Indonesia : Unit Pelayanan dan Pemeliharaan Kampus (UPPK) Universitas Kristen Petra mengalami kesulitan dalam berhadapan dengan customer. Terkadang customer harus menghubungi atau bertatap muka dengan pihak UPPK hanya untuk menanyakan jadwal pemakaian atau menyampaikan keluhan. Selain hal itu UPPK juga membutuhkan suatu sistem yang mampu menganalisa kebutuhan peralatan/barang berdasar permintaan customer serta analisa kinerja yang telah dilakukan. Melihat permasalahan yang ada, maka dibuat suatu sistem penyampaian informasi, pemesanan peralatan/barang, pemesanan ruang khusus, pemesanan lapangan, pemesanan kendaraan, penyampaian keluhan, analisa kebutuhan barang dan kinerja berbasis web. Dengan sistem ini customer dapat memperoleh informasi jadwal dan melakukan pemesanan serta penyampaian keluhan tanpa harus bertatap muka dengan pihak UPPK. Sistem ini dikembangkan dengan bahasa PHP dan database server MySQL. Dari hasil pengujian dengan kuisioner kepada UPPK dan customer pengguna fasilitas didapat nilai rata-rata 3,63 (dari skala 1-4), sehingga dapat disimpulkan bahwa sistem dapat membantu memecahkan permasalahan yang ada. Selain itu sistem juga memberikan fasilitas untuk menganalisa evaluasi layanan dan kebutuhan barang. Kata kunci: web, pemesanan, analisa kebutuhan.
PENGGUNAAN HIBRIDISASI GENETICS ALGORITHMS DAN FUZZY SETS UNTUK MEMPRODUKSI PAKET SOAL Intan, Rolly
Jurnal Informatika Vol 6, No 1 (2005): MAY 2005
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (247.355 KB) | DOI: 10.9744/informatika.6.1.pp. 24-30

Abstract

At least, two important factors, discrimination and difficulty, should be considered in determing whether a problem should be in a packet of problems produced for students entrance examination at a university. The higher the discrimination degree of a problem, the better the problem is used to make a selection of participants based on their intellectual capability. How to provide a packet of entrance examination problems satisfying a determined pattern of discrimination and difficulty is a major problem in this paper for which an algorithm, it can be proved that the beneficiary of applying fuzzy sets and fuzzy relation in determing the first chromosome in the process of GA is that the process can reach tolerable solutions faster. Maximum number of generation is still needed as a threshold to overcome the problem of run time system overflow. Generally, the problems in the form of passages tend to have lower fitnest cost. Abstract in Bahasa Indonesia : Proses penyusunan paket soal (misalnya soal untuk test seleksi masuk universitas) yang diambil dari suatu bank soal, minimal harus memperhatikan dua aspek penting yaitu: tingkat kesulitan dan tingkat diskriminan soal. Semakin tinggi tingkat diskriminan suatu soal, semakin baik soal tersebut dipakai untuk menyeleksi kemampuan peserta test. Permasalahan yang dihadapi adalah bagaimana agar pembuat soal dapat memilih dan menentukan kombinasi soal-soal yang tepat (optimum) sehingga dapat memenuhi tingkat kesulitan dan diskriminan yang dikehendaki. Untuk menyelesaikan masalah ini, diperkenalkan suatu algoritma yang disusun dengan menggunakan hibridisasi metode Genetics Algorithm dan fuzzy sets. Dari hasil pengujian, didapatkan bahwa penggunaan fuzzy sets dan fuzzy relations dalam pemilihan kromoson awal akan lebih mempercepat pencapaian tolerable solutions. Tetap dibutuhkan treshould maksimum jumlah generasi yang dilakukan untuk mencegah run time sistem overflow. Soal bacaan cenderung memiliki nilai Fitnest Cost yang lebih rendah daripada nilai Fitnest Cost untuk paket soal bukan soal bacaan. Kata kunci: genetics algorithm, fuzzy sets, hibridization method.
APPLICATION OF CONDITIONAL PROBABILITY IN PREDICTING INTERVAL PROBABILITY OF DATA QUERYING Intan, Rolly
Jurnal Informatika Vol 5, No 2 (2004): NOVEMBER 2004
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (99.961 KB) | DOI: 10.9744/informatika.5.2.pp. 135-146

Abstract

This paper discusses fuzzification of crisp domain into fuzzy classes providing fuzzy domain. Relationship between two fuzzy domains, Xi and Xj, can be represented by using a matrix, wij. If Xi has n elements of fuzzy data and Xj has m elements of fuzzy data then wij is n x m matrix. Our primary goal in this paper is to generate some formulas for predicting interval probability in the relation to data querying, i.e., given John is 30 years old and he has MS degree, how about his probability to get high salary.
SOLVING QUICKEST PATH PROBLEM USING AN EXTENDED CONCEPT OF TRANSITIVE CLOSURE METHOD Intan, Rolly
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 (186.583 KB) | DOI: 10.9744/informatika.6.2.pp. 100-104

Abstract

A travel company offers a transportation service by picking up customers from certain places and sending them to the other places. Concerning traffic in time domain function for every path, the problem is how to find the quickest paths in picking up the customers. The problem may be considered as the quickest path problem. We may consider the quickest path problem as an extension of the shortest path problem. The quickest path problem optimizes length of time in visiting some places. The quickest path is not always the shortest path. In the relation to the problem, this paper proposes an algorithm for solving the quickest path problem. The algorithm is constructed by modifying a concept of transitive closure method.