Judul: Analisis Faktor-Faktor Yang Mempengaruhi Pengambilan Keputusan Mahasiswa Dalam Memilih Institut Pertanian Bogor
Abstrak: Institut Pertanian Bogor merupakan salah satu Universitas terbaik di Indonesia dan menjadi pilihan banyak orang yang ingin melanjutkan pendidikan ke perguruan tinggi. Penelitian ini bertujuan untuk : 1) Mengidentifikasi karakteristik mahasiswa IPB, 2) Menganalisis proses pengambilan keputusan mahasiswa IPB, 3) Mengidentifikasi faktor-faktor yang mempengaruhi pengambilan keputusan mahasiswa memilih IPB, dan 4) Menganalisis sikap mahasiswa terhadap atribut yang dimiliki IPB. Metode pengumpulan data dengan menggunakan kuisioner, jumlah responden penelitian sebanyak 100 orang dengan metode penarikan sampel yaitu quota sampling. Pengolahan data menggunakan analisis deskriptif, analisis faktor dan analisis multiatribut fishbein. Berdasarkan hasil analisis faktor, terdapat 3 faktor yang mempengaruhi proses pengambilan keputusan mahasiswa dalam memilih IPB yaitu faktor psiko demografis, faktor perubahan individu dan faktor lingkungan dan hasil multiatribut fishbein menujukan sikap mahasiswa terhadap IPB masuk dalam kategori Cukup baik.
Keyword: proses pengambilan keputusan, analisis faktor, multiatribut fishbein

Judul: Faktor yang Mempengaruhi Keputusan Mahasiswa IPB Angkatan 2012/2013 Memilih IPB Sebagai Tempat Melanjutkan Pendidikan Tinggi
Abstrak: The large number of universities in Indonesia make students have to decide which one they would choose as their higher education. Bogor Agricultural University is one of the state universities in Indonesia. The purpose of this study is to obtain the factors that influence the decision of IPB students, generation of 2012/2013, in choosing IPB as a place to continue their higher education. Data collection was performed by the method of random sampling strata. In preliminary survey result, it was found 32 reason statements of IPB students, generation of 2012/2013, in choosing IPB as a place to pursue their higher education. The data obtained were then processed using factor analysis, and the results of this processing were used to classify the 32 reason statements into 10 factors with a cumulative variability percentage that can be explained in the amount of 71.265%. These factors are namely IPB factor as agricultural-based university and the ideals of the prospective students, IPB factor as qualified university and its good future promise, cost factor and IPB student characteristics, promotion factor and IPB campus environmental factor, native school environmental factor, IPB factor as a proud state university, knowledge factor of the university, students family environmental factor, major subject desired factor and IPB location, and IPB factor as the top choice university.
Keyword: factor analysis, stratified random sampling

Judul: Mathematical model of Hematopoietic Stem Cell in Chronic Myelogenous Leukemia with and without Therapy
Abstrak: Leukemia or blood cancer is a diverse group of neoplastic disease, characterized by the multiplication of abnormal leukocytes or malignant transformation of blood-forming cells in bone marrow and lymphoid tissues. One of the most common types of leukemia is Chronic Myelogenous Leukemia (CML), which is usually diagnosed by the presence of certain chromosomal abnormalities, the so-called Philadelphia chromosome (Ph). One of the treatments of CML is Granulocyte Colony-Stimulating Factor (G-CSF). In this paper, we discuss two Hematopoietic Stem Cell (HSC) models, i.e. HSC without treatment and HSC with G-CSF treatment. The model of HSC without treatment included three equations representing the dynamics of HSC, leukocyte and platelet. Whereas, the model of HSC with G-CSF treatment includes the previous three equations and adds two more equations representing G-CSF injection and G-CSF circulation. The stability behavior of the system approaching the equilibrium points in the simulation study is carried out using Mathematica 7.0. The simulation results show that the G-CSF treatment can successfully decrease the number of HSC, which means reducing the CML.
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