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PENGEMBANGAN MODEL INFORMATION TECHNOLOGY (IT) GOVERNANCE PADA ORGANISASI PENDIDIKAN TINGGI MENGGUNAKAN COBIT 4.1 DOMAIN PO DAN AI Suryani, Arie Ardiyanti
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 5 (2009): Information System And Application
Publisher : Jurusan Teknik Informatika

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Information Technology Governance (IT Governance) merupakan faktor penting bagi organisasi dalamÂ memanfaatkan teknologi informasi. Adanya IT Governance akan memberikan jaminan bahwa pemanfaatanÂ teknologi informasi sejalan dengan tujuan organisasi. Dalam membangun sebuah IT Governance, dapatÂ diadopsi beberapa standar seperti ITIL, COSO, ISO27001, ISO38500 dan lain-lain. Penelitian ini menggunakanÂ COBIT 4.0, dengan pertimbangan COBIT dibuat dengan menggunakan standar IT lain sebagai referensinya,Â sehingga keselarasan pengembangan IT dengan tujuan institusi relatif lebih terjamin.Â Pengembangan model IT Governance dimulai dengan menentukan critical success factor (CSF) dari sasaran ITÂ institusi, pengukuran tingkat kematangan current IT Governance, analisa gap hingga analisa resiko untukÂ mengidentifikasi proses IT yang urgent untuk diimplementasikan. Pada bagian akhir diberikan rekomendasiÂ perbaikan proses IT sesuai dengan maturity level-nya. Hasil penelitian ini adalah usulan model IT GovernanceÂ yang diharapkan cukup sesuai bagi organisasi Pendidikan Tinggi X.Â Hasil penelitian menunjukkan bahwa untuk domain PO dan AI pada COBIT 4.0, IT maturity level institusiÂ berada diantara tingkat initial dan repetable, dengan skor rata-rata proses sebesar 1.68. Secara umum, untukÂ mencapai tingkat yang lebih baik organisasi perlu mendefinisikan (secara formal) dan mensosialisasikanÂ kebijakan, prosedur serta standar yang dibutuhkan dalam pengelolaan informasi; mengelola dokumenÂ pengoperasian setiap proses layanan IT; menjalankan fungsi pengawasan, pelaporan dan evaluasi proses, sertaÂ memfasilitasi knowledge sharing antar individu penanggung jawab proses sehingga diharapkan ketergantunganÂ sistem IT terhadap individu dapat diperkecil.

Name Disambiguation Analysis Using the Word Sense Disambiguation Method in Hadith Prasetio, Ageng; Bijaksana, Mochammad Arif; Suryani, Arie Ardiyanti
Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

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Name disambiguation is the problem solving process to find similar names in sentences. The ambiguity of names can be found in hadith of Sahih Bukhari, names "Abdullah bin Amru" in hadiths no 27 and â€œAbdullah bin Amruâ€ in hadith no 58, These names are the same, but there is no proof they are the same person. This problem is the early indication of ambiguity of name in the hadith. Based in this problem, this research aims to find name disambiguation of hadith narrators with classification by considering the perawi chain. To solved this problem the authors used Word Sense Disambiguation (WSD), WSD is a process to assign the same meaning from the sentences, based on the context in which the word appears. To classify several names in the hadith, the authors used KNN algorithm, by combining the WSD and KNN method can reduce the ambiguity of names in hadith. The data used in this study came from the hadith of Sahih Bukhori through the pre-processing stage. After conducting the research showed a collection of hadith numbers with the same name prediction with an accuracy of 99% at k = 1. Thus, this method can be used for name disambiguation.

Name Disambiguation Analysis Using the Word Sense Disambiguation Method in Hadith Ageng Prasetio; Mochammad Arif Bijaksana; Arie Ardiyanti Suryani
Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v4i2.2551

Name disambiguation is the problem solving process to find similar names in sentences. The ambiguity of names can be found in hadith of Sahih Bukhari, names "Abdullah bin Amru" in hadiths no 27 and â€œAbdullah bin Amruâ€ in hadith no 58, These names are the same, but there is no proof they are the same person. This problem is the early indication of ambiguity of name in the hadith. Based in this problem, this research aims to find name disambiguation of hadith narrators with classification by considering the perawi chain. To solved this problem the authors used Word Sense Disambiguation (WSD), WSD is a process to assign the same meaning from the sentences, based on the context in which the word appears. To classify several names in the hadith, the authors used KNN algorithm, by combining the WSD and KNN method can reduce the ambiguity of names in hadith. The data used in this study came from the hadith of Sahih Bukhori through the pre-processing stage. After conducting the research showed a collection of hadith numbers with the same name prediction with an accuracy of 99% at k = 1. Thus, this method can be used for name disambiguation.

Statistical Machine Translation Dayak Language – Indonesia Language Muhammad Fiqri Khaikal; Arie Ardiyanti Suryani
Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer Vol 16, No 1 (2021): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jim.v16i1.5315

This Paper aims to discuss how to create the local language machine translation of Indonesia Language where the reason of local language selection was carried out as considering the using of machine translator for local language are still infrequently found mainly for Dayak Language machine translator. Machine Translation on this research had used statistical approach where the resource data that was taken originated from articles on dayaknews.com pages with total parallel corpus was approximately 1000 Dayak Language – Indonesia Language furthermore as this research contains the corpus with total 1000 sentences accordingly divided into three sections in order to comprehend the certain analysis from a pattern that was created. The monolingual corpus was collected approximately 1000 sentences of Indonesia Language. The testing was carried out using Bilingual Evaluation Understudy (BLEU) tool and had result the highest accuracy value amounting to 49.15% which increase from some the others machine translator amounting to approximately 3%.

Analysis of Name Entities in Text Using Robust Disambiguation Method Muthia Virliani; Moch. Arif Bijaksana; Arie Ardiyanti Suryani
SISFOTENIKA Vol 10, No 2 (2020): SISFOTENIKA
Publisher : STMIK PONTIANAK

Named entities are proper nouns or objects contained in a text, such as a person's name, country name, and others. Names of persons in some text are often ambiguous, which makes it difficult for ordinary people to find out these same names are the same person or not. An ambiguity of names also found in hadith, like the name Abdullah in hadith number 86 and 2411, that might be the same person or might be different. Based on this problem, then this study focuses on named entity disambiguation, which considered further semantic and lexical relation between a named entity. Expected in the future, it would help people to understand the ambiguity of the name or distinguish ambiguous names. The method used in this research was Robust Disambiguation because, in this method, the context of the named entity considered. The resulted output obtained was in the form of named entity that grouped based on the same person or different person processed with Density-based Spatial Clustering of Applications with Noise. This research resulted in an accuracy value of 90%, a precision value of 97%, and a recall value of 89% obtained from actual value and predicted value

Analysis Name Entity Disambiguation Using Mining Evidence Method Adelya Astari; Moch. Arif Bijaksana; Arie Ardiyanti Suryani
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Hadith is the second guideline and source of Islamic teachings after the Qur'an. One of the most Saheeh hadith is the book of Saheeh al-Bukhaari. Hadith Sahih Bukhari has a chain of narrators, hadith numbers, and contents of different contents. This tradition also has science that discusses the history of the narrators of the hadith called the Science of Rijalul Hadith. In the Sahih Bukhari hadith there are the names of the narrators of the hadith who have the same name, causing obligation between names. That makes it difficult for many ordinary people to understand these ambiguous names because it is not yet known whether the two names are the same person or not. So, it raises the problem of a name ambiguation for ordinary people who cannot distinguish whether the name of the narrator is the same person or not. To solve these problems, a solution is built, namely the disambiguation of names to eliminate the ambiguity of the name by checking the name, hadith number, narrators chain, content topics, circles, countries, and companions of the Prophet that are seen from the 3 last names before the Prophet based on the chain of narrators. Also, the solution is assisted by using a method Mining Evidence with several other approaches, i.e. Association label documents, word association labels, context similarity, cosine similarity, and word2vec to obtain all similarity values between name entities. After the similarity values are obtained, the data are grouped using the Clustering algorithm. This system is expected to be able to produce a good system performance with a confusion matrix based on value precision, recall, and accuracy.

Minang and Indonesian Pharase-Based Statistical Machine Translation Muhammad Sandika Alam; Arie Ardiyanti Suryani
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i1.5308

This research focuses on making a phrase based statistical machine translation for Minang – Indonesian language as well as seeing how well the machine translation results. The source of training and test data in the form of parallel corpus and monolingual corpus that taken from Minang Wikipedia language and Indonesian news website. Two test case scenario were tested in this research that based on the language model and translation model. To see how well the translation will be seen by using Bilingual Evaluation Understudy (BLEU). The result showed that the testing for the first scenario have a significant impact compare to the second scenario in terms of translation. The lack of corpus resources is a problem in building phrase-based statistical machine translation.

PENGEMBANGAN MODEL INFORMATION TECHNOLOGY (IT) GOVERNANCE PADA ORGANISASI PENDIDIKAN TINGGI MENGGUNAKAN COBIT4.1 DOMAIN DS DAN ME Arie Ardiyanti Suryani
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 5 (2009): Information System And Application
Publisher : Jurusan Teknik Informatika

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Pentingnya peran teknologi informasi, terbatasnya sumber daya teknologi informasi (Information Technology /IT) yang tersedia serta relatif besarnya biaya yang dibutuhkan untuk memanfaatkan teknologi informasi dalam organisasi menjadi latar belakang perlunya panduan/tata pamong yang mengatur pengelolaan teknologi informasi agar keberadaan teknologi informasi tersebut tidak menjadi beban bagi organisasi tetapi mampu memberikan manfaat dan dukungan yang optimal bagi proses bisnis organisasi.Penelitian ini akan dilakukan kajian bagaimana seharusnya desain tata kelola IT dengan menggunakan framework COBIT 4.1, domain Deliver and Support (DS) serta domain Monitor and Evaluate (ME). DS merupakan salah satu dari empat domain pada COBIT yang menitikberatkan pada area delivery layanan IT, dan ME adalah domain yang berfokus pada masalah monitoring dan evaluasi layanan IT. Proses desain tata kelola IT dimulai dengan menentukan critical success factor (CSF) dari sasaran IT institusi, pengukuran tingkat kematangan pengelolaan IT saat ini (current), analisa gap serta analisa resiko untuk mengidentifikasi prioritas dari tiap proses IT. Berdasarkan seluruh rangkaian proses tersebut akan dibuat rekomendasi perbaikan proses IT sesuai dengan pencapaian tingkat kematangannya. Hasil penelitian ini adalah desain tata kelola untuk proses-proses IT pada domain DS dan ME pada framework COBIT, yang diharapkan cukup sesuai bagi organisasi Pendidikan Tinggi X.

Part of Speech Tagging untuk Bahasa Jawa dengan Hidden Markov Model Ryan Armiditya Pratama; Arie Ardiyanti Suryani; Warih Maharani
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 1 (2020): June 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Indonesia has many cultures and local language, one of the most is Javanese with the Javanese language. The Javanese language is used in the region of Central Java and East Java, the word structure of the Javanese language has a similar to the Indonesian word class. Part of Speech (POS) Tagging is a process for labeling word classes for each input word that corresponding. POS Tag for Indonesian Language has been done a lot and got very good accuracy with various method application. This study aims to provide the word class label for Javanese language and the datasets used was obtained from online news with Javanese Ngoko language. The method used in this study is the Hidden Markov Model (HMM) with use of the HMM method get the highest accuracy is 96.2 %. Keywords: POS Tagging, Javanese Ngoko, Labeling, Hidden Markov Model

Prediksi Calon Nasabah Gadai Potensial pada PT. Pegadaian (Persero) dengan Menggunakan Metode Suport Vector Machine-Sequential Minimal Optimization (SVM-SMO Ramadhan Wahyu Pratama; Arie Ardiyanti Suryani; Siti Sa'adah
eProceedings of Engineering Vol 2, No 1 (2015): April, 2015
Publisher : eProceedings of Engineering

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Salah satu tantangan yang dihadapi oleh perusahaan jasa gadai terutama PT. Pegadaian adalah usaha menurunkan barang lelang milik nasabah akibat nasabah tersebut tidak melakukan pencicilan pinjaman sebelum jatuh tempo berakhir. Jenis nasabah yang tidak melakukan usaha untuk menebus barang gadaian mereka dapat dikatakan sebagai seorang nasabah yang tidak potensial bagi perusahaan. Untuk itu maka perusahaan perlu mengetahui jenis nasabah mereka apakah termasuk dalam kategori potensial atau tidak, informasi ini berguna untuk mengantisipasi kemungkinan kemunculan nasabah lelang yang akan merugikan perusahaan. Penentuan nasabah potensial dan tidak potensial ini dapat dilakukan pada tahap klasifikasi dengan menggunakan metode Support Vector Machine Sequential Minimal Optimization. Tugas akhir ini bertujuan untuk menerapkan Menerapkan Support Vector Machine Sequential Minimal Optimization (SVM-SMO) untuk memprediksi nasabah potensial dan tidak potensial. Pemilihan metode SVM dalam tugas akhir ini karena SVM telah terbukti kehandalannya dalam melakukan klasifikasi data dalam jumlah yang besar dan memiliki atribut data yang kompleks. Sebelum melalui tahap klasifikasi terlebih dahulu data akan dipreprocessing dan dinormalisasi dengan menggunakan normalisasi linear. Terdapat tiga parameter uji yang digunakan sebagai evaluasi sistem yaitu Precision, Recall dan F-measure, dengan hasil rata-rata setiap parameter uji bernilai diatas 75%. Kata Kunci: Nasabah Gadai, Support Vector Machine Sequential Minimal Optimization

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