Judul: Sistem Pencarian Turunan Kata pada Al-Quran Menggunakan Light Stemming dan Clustering untuk Pembicara Bahasa Indonesia
Abstrak: Topics searching in the Holy Quran using word derivative is difficult task without arabic word morphology knowledge. Light stemming is stem extraction method that can replaces word derivative plays in topics searching. However, this method fail to removes infix so clustering method can be better hopefully. This research aims to build word derivative searching system using light stemming and clustering that appropriate with Indonesian speaker’s query. There are two types of query that accepted by the system that have 30 queries in each: Latin and Arabic script. Searching quality evaluation using Average Precision (AVP), Mean Average Precision (MAP), and Precision at N shows that light stemming is better than clustering with 0.30 AVP in light stemming and 0.03 AVP in clustering. Whereas for running time, light stemming is four time faster than clustering at Arabic script.
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Judul: Sistem Pencarian Ayat Al-Quran Berbasis Kemiripan Fonetis
Abstrak: Searching Arabic text in the Holy Quran is not easy for users that do not have sufficient knowledge about Arabic language and script. Therefore, phonetic search can be used to facilitate users to search in the Holy Quran with their pronunciation represented in Latin script using regular alphabets. This research aims to build such search system, specifically for speakers of Bahasa Indonesia. A phonetic coding method regarding Quran recitation rules (tajweed) is proposed to match between Quran texts in Arabic script and user's queries in Latin script. Indexed trigram is used for approximate string matching. The system uses two search schemes: vowelized and non-vowelized search; two ranking methods: trigram count and trigram position ranking; and two search purposes: pronunciation and topic search. Experiment using user-generated queries and given relevance judgments shows that vowelized search performs better than non-vowelized search with 0.651 average precision (AVP) at the cost of longer search time. Trigram count ranking performs better than trigram position ranking with 0.668 AVP, although trigram position ranking can obtain higher precision at lower recall level. Pronunciation search queries perform better than topic search queries with 0.751 AVP.
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Judul: Fenomena Peradangan Kardio-Obesitas Pada Monyet Ekor Panjang (Macaca Fascicularis) Jantan Dewasa Dengan Induksi Diet Obsitogenik
Abstrak: Pola hidup masyarakat dengan konsumsi makanan tinggi kolesterol dan karbohidrat akan meningkatkan resiko sindrom metabolik, seperti obesitas. Obesitas adalah faktor utama penyebab penyakit kardiovaskular dan peradangan yang dapat menyebabkan aterosklerosis serta akumulasi sel-sel radang pada sekitar pembuluh darah. Respon peradangan yang disebabkan oleh kardio-obesitas pada pembuluh darah aorta diteliti pada monyet ekor panjang jantan dewasa (Macaca fascicularis) (n=11) menggunakan standar penilaian kuantitatif histologis. Respons peradangan ini diamati pada monyet obesitas yang disebabkan oleh asupan diet obesitogenik selama 15 bulan (n=9) dibandingkan dengan monyet obesitas yang disebabkan konsumsi pakan monyet dalam jumlah tak terbatas (ad-libitum) (n=2). Fenomena ini bisa digunakan sebagai gambaran mikroskopis kardio-obesitas pada monyet sebagai hewan model penyakit kardiovaskular. Respon peradangan lebih rendah pada monyet yang diberi asupan diet obsitogenik diikuti intervensi nikotin cair dosis rendah selama tiga bulan. Studi kasus ini menunjukkan bahwa nikotin cair dosis rendah memiliki efek hambat pada respon peradangan kardio-obesitas.
Keyword: Macaca fascicularis, obesitas, respon peradangan, nikotin cair dosis rendah