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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) ICON-CSE
Harlili Harlili
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Computer Science & IT Engineering

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Sistem Pengidentifikasi Otomatis Keterkaitan Topik antar Paragraf dalam Dokumen Ekspositori Rila Mandala; Andreas Prasetia; Rinaldi Munir; Harlili Harlili
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

This paper conducted on identifying topical coherency between paragraphs of anexpository text. Expository text is a kind of texts which is intended for publicity such asjournal, news etc. Many expository texts consist of long sequences of paragraphs with verylittle structural demarcation, while others consist of sequences of paragraph which stilldiscuss the same topic. This paper uses Similarity Coefficient to identify topical coherencybetween paragraphs. Similarity coefficient measures lexical similarity between adjacentparagraphs, with assumption that the more similar two adjacent paragraphs are, the morelikely it is that the current topic continues. Pengidentifikasi Keterkaitan Topik Antar Paragraf(PKTAP) is a software for identifying topical coherency between paragraphs of an expositorytext, which is developed based on this method. Topical coherency identification made byPKTAP is compared against judgments made by human readers. The result shows that thereaders have a high tendency to agree with PKTAP.Keywords: expository text, topical coherency, similarity coefficient
Sistem Penganalisis Sintaks Otomatis dengan Metode Generalized-LR Parsing Rila Mandala; Antonius Sigit; Rinaldi Munir; Harlili Harlili
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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The main problem of difficulties in natural language processing is ambiguity. Almostin all level of natural language processing there are ambiguities, including in syntax level.LR-Parser is an efficient method that often be used in developing a programming languagecompiler for parsing, but unfortunately it can not be used for parsing natural languageprocessing because it can not handle the ambiguity. This paper uses Generalized-LR Parsing,a modified-LR-Parsing method that can handle ambiguity, for parsing a sentence in BahasaIndonesia. Generalized-LR Parsing use a graph-structured stack to cope the ambigutiyproblem. It can successfully produce all parsing-trees for an ambiguous sentence in BahasaIndonesia.Keywords: natural language processing, syntax analysis, ambiguity, Generalized LRParsing,parsing-tree
Sistem Stemming Otomatis untuk Kata dalam Bahasa Indonesia Rila Mandala; Erry Koryanti; Rinaldi Munir; Harlili Harlili
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Stemming is a process to restore words to its base form, by stripping each word fromits derivational and affixes. A stemming process has an important role for machinetranslationand other computational lingustics area. In Malaysian there is a stemmingalgorithm that has been developed and tested for application in information retrieval which isknown as Othman algorithm. There are several differences of Bahasa Indonesia’smorphology and Malay’s morphology, so The Othman algorithm can not be applied directlyin bahasa Indonesia. Furthermore, the accuracy of Othman algorithm also is not good. Thispaper proposes some modifications from Othman algorithm. The modifications includes,various stemming procedures, rule of affixes, and dictionary of root words. Experiments showthat Our modification method has a better accuracy in stemming Bahasa Indonesia’s words.Keywords: stemming, word-lemmatization, affix-stripping
Risk Management for Enterprise Resource Planning Post Implementation Using COBIT 5 for Risk Dwi Rosa Indah; Harlili Harlili; Afriyan Firdaus
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Risk management for ERP postimplementation is required to achieve ERP success. In this paper, risk management for ERP postimplementation is designed using COBIT 5 for Risk on APO12 processes. The design of a risk management framework begins with assessment of ERP postimplementation success adopting two approaches, namely the framework of ERP post-implementation success and Critical Success Factor of ERP post-implementation as an input to the risk identification adopted from COBIT 5 for Risk. The study was conducted at the company that has been entered the ERP post-implementation stage. The results of research on the case study company are ERP post-implementation success assessment by only 55.6% and there is a fairly high percentage of unsuccessful at 44.4% which indicates a risk that must be managed. Risks that need to be managed as many as 26 ERP post- implementation risks that are grouped into nine categories of risk. With the option of risk response is one risk are transfered, 21 are mitigated and four are accepted.
Co-Authors Andreas Prasetia Antonius Sigit Dwi Rosa Indah Erry Koryanti Mgs Afriyan Firdaus Rila Mandala Rinaldi Munir