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Syauqi, Ala
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Computer Science & IT

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Clustering Dokumen Fatwa MUI berdasarkan Bidang Permasalahan Menggunakan K-Means Hariri, Fajar Rohman; Syauqi, Ala
Generation Journal Vol 4 No 1 (2020): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v4i1.13899

Abstract

Sejak Majelis Ulama Indonesia (MUI) berdiri pada tahun 1975 sampai sekarang, lembaga ini telah menghasilkan fatwa sebanyak 201 buah yang mencakup berbagai bidang. Seperti masalah ibadah, ahwal al-syakhshiyah, keluarga berencana, masalah makanan dan minuman, kebudayaan, hubungan antar agama, dan lain-lain. Text mining merupakan salah satu teknik yang digunakan untuk menggali data yang tersembunyi dari data yang berbentuk text. Salah satu metode dalam text mining adalah clustering. Penelitian kali ini mengimplementasikan metode K-Means Clustering pada dokumen – dokumen fatwa MUI untuk mengelompokkan fatwa yang ada berdasarkan kemiripan masalah yang dibahas. Silhouette Coefficient digunakan untuk analisa terhadap cluster yang dihasilkan, dengan nilai terbaik 0.0994699359772012 dengan pengelompokan 10 cluster.
Implementasi Komputasi Paralel untuk Optimalisasi Komputasi Pada Aplikasi Transliterasi Huruf Latin ke Aksara Jawa Syauqi, Ala; Hidayah, Anis Nurul
JOIN (Jurnal Online Informatika) Vol 3 No 1 (2018)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v3i1.179

Abstract

Javanese script is one of the ancestral heritage of Indonesia that must be preserved. Nowadays javanese script is increasingly abandoned, since latin writing is often used in daily activities. This is become worse by student difficulties of learning to read and write javanese script because the methods are less attractive for example teacher centered learning. One of solution to solve this problem is interactive latin to javanese script transliteration application. Research on the latin to javanese script transliteration has been produced various applications such as JawaTex, Hanacaraka, and Pandawa. From these three applications is showed that the Pandawa application with decision tree method has the highest level of accuracy. However, the computational time required by this application method is also highest than other applications. The more transliterated text is conduct the longer process time is used. This research aims to shorten Pandawa application computing time with parallel computing method without modifies decesion tree algorithm. Parallel computing is implemented with multithread on java programming language to perform the process of latin into javanese script transliteration simultaneously. Experimental results obtained that the implementation of multithread in decicion tree method for latin into javanese script transliteration reduce the average computation time up to 97.05%.
Co-Authors Fajar Rohman Hariri Hidayah, Anis Nurul