Judul: Factors Affecting Muzakki in Paying Zakat at The Amil Zakat Institution Great Mosque Bintaro Jaya
Abstrak: The potential for zakat in South Tangerang City reaches 40 billion rupiah in 2021, but the realization of zakat collected in South Tangerang City has only reached 14 billion rupiah in 2020. This indicates that the potential of zakat in South Tangerang City is still far from being realized. Mosques can help BAZNAS in collecting zakat funds. A suitable mosque in helping the people of South Tangerang City to pay zakat is the Great Mosque of Bintaro Jaya (MRBJ). MRBJ has formed LAZ so that it can be trusted in collecting zakat. The purpose of this study is to observe how the management of zakat receipts in LAZ MRBJ and analyze the factors that influence muzakki to pay zakat in LAZ MRBJ. The study was conducted at MRBJ using factor analysis (FA) with confirmatory factor analysis. There are 4 variables studied, namely institutional credibility, management credibility, service quality and socialization. The results of this study indicate that the dominant factor influencing muzakki in paying zakat at LAZ MRBJ is management credibility. The implication of this research is that if muzakki want to pay zakat, then pay zakat at LAZ, because LAZ already has permission to collect, distribute, and utilize zakat.
Keyword: Institutional Credibility, Management Credibility, Service Socialization, Zakat

Judul: Analisis Faktor-Faktor yang Memengaruhi Muzaki dalam Memilih Organisasi Pengelola Zakat (OPZ) : Studi Kasus di Badan Amil Zakat Nasional Kota Bogor
Abstrak: The main purpose of management of zakat in Act No 23/2011 is to achieve public welfare and poverty alleviation. However, until now, zakat has not been sufficient to attain both these goals since zakat fund collected in Indonesia is only about 1% of its national potential that reaches Rp 217 trillion. This indicates that there are many muslims who are not motivated to pay zakat nor trust Zakat Management Organization. This study analyzes the factors that influence muzakki in choosing Zakat Management Organization and the performance of BAZNAS Kota Bogor from muzakki’s perception. Logistic regression is used to analyze the factors that affect muzakki in choosing the Zakat Management Organization. Descriptive analysis is used to analyze the perceptions of the BAZNAS Kota Bogor. This research was conducted during the month of February 2014 with 30 respondents BAZNAS Kota Bogor’s muzakki and 30 respondents muzakki whose paying zakat directly to mustahiq. The results of logistic regression show that the factors that affect muzakki in choosing Zakat Management Organization are income, the level of reliability, and institution’s image. The muzakki’s perception of the performance of BAZNAS Kota Bogor can be concluded as good, particulary in reliability, responsiveness, and tangible.
Keyword: Logistic Regression Method, Zakat Management Organization (OPZ), Zakat,

Judul: Penjajaran sekuen DNA paralel berbasis kolom menggunakan algoritme Needleman-Wunsch dan graphic processing unit (GPU)
Abstrak: Deoxyribo nucleid acid (DNA) merupakan salah satu biomolekul yang berperan penting dalam menyimpan instruksi genetika makhluk hidup. DNA sendiri terdiri atas jutaan nukleotida yang saling berpasangan yang membentuk susunan double helix. Untuk mendapatkan informasi pada dua pasang DNA salah satunya perlu dilakukan proses penjajaran secara lokal maupun global. Salah satu cara yang dapat digunakan adalah menggunakan metode penjajaran global sekuen dengan skema berbasi kolom dengan tujuan untuk mendapatkan kemiripan DNA. Untaian DNA yang dibangkitkan secara acak tersebut diolah menggunakan library yang dimiliki oleh sebuah graphic processing unit yang dinamakan dengan CUDA. CUDA merupakan sebuah platform komputasi yang disediakan oleh NVIDIA untuk memanfaatkan cores yang ada pada GPU untuk digunakan pada proses komputasi. Tujuan penggunaan CUDA pada proses penjajaran DNA adalah untuk mencapai speedup semaksimal mungkin dibandingkan dengan menggunakan CPU. Pada penelitian ini didapatkan hasil speedup menggunakan GPU dibandingkan dengan CPU adalah 7.9 kali.
Keyword: columnwise, graphics processing unit, speedup