Judul: Pemodelan Hubungan Pelanggan dan Perusahaan Menggunakan Rantai Markov
Abstrak: Relationship between company and customers occurs due to marketing of the company products to customers and the transaction between customers and company. In the relationship between company and customers there is a term called recency which represents the number of months since the last transaction of a customer. Recency is assumed to form a Markov chain. Customer lifetime value (CLV) is a present value of future cash flow in customer lifetime transaction. CLV is used to determining the prospects of customer transactions in the future. The purpose of this manuscript is to model customer and company relations, to calculate customer lifetime value (CLV), and to apply the Markov chain model at the Oriflame company. Markov chain model is characterized by the number of states, transition probability matrix, and vector early probability. Through transaction data of the Oriflame customers, a transition probabilities matrix can be estimated using maximum likelihood method. CLV is calculated by Markov decision processes. The results shows that the relationship between the company and customers can be modeled with a Markov chain.
Keyword: recency, Markov chain, customer lifetime value

Judul: Pemodelan Transaksi Pelanggan Menggunakan Model Hidden Markov
Abstrak: A customer transaction is one of the activities needed to establish a market. This event may happen at any time in a long time series and may be repeated in the future. If the causes of customer transactions are assumed not to be observed directly and they form a Markov chain, then the customer transactions can be modeled by using the hidden Markov model. The hidden Markov model is characterized by some parameters of initial distribution, transition, and transactions. The parameters in this final assignment are estimated by using the Rabiner method, which consists of forward-backward, Viterbi, and Baum-Welch algorithms. The hidden Markov model for customer transactions is applied to transaction data of Anisa Cell’s cellular company. By using the transactions data, a computer program is created using Mathematica 7.0 and LINGO 11.0 to estimate the parameters of the hidden Markov model. The results show that the hidden Markov model can model the company’s transactions well. This can be seen from the estimation’s accuracy, which is above 96%.
Keyword: 

Judul: Analisis Struktur Atas Gedung Diploma IPB terhadap Beban Gempa Berdasarkan SNI 03-1726-2002 dan SNI 03-1726-2012
Abstrak: Gedung Diploma IPB masih menggunakan SNI 03-1726-2002 dalam perencanaan strukturnya. SNI tersebut kemudian diubah seiring dengan keluarnya peraturan baru yang termuat dalam SNI 03-1726-2012. Tujuan dari penelitian ini adalah mengetahui ketahanan struktur atas gedung Diploma IPB terhadap beban gempa ditinjau berdasarkan waktu getar alami dan partisipasi massa, mengetahui besarnya gaya geser dasar seismik, dan membandingkan besarnya simpangan berdasarkan kedua SNI. Partisipasi massa arah X yang dihasilkan yaitu sebesar 0.9417 pada modal ke 9 dan 0.9006 pada modal ke 12 pada arah Y. Kedua nilai tersebut telah memenuhi kedua standar SNI. Waktu getar alami telah memenuhi standar SNI 2002, namun belum memenuhi standar SNI 2012. Gaya geser dasar dinamik yang dihasilkan berdasarkan SNI 2012 sebesar 1599.6606 kN akibat gempa arah X dan 1223.5794 kN akibat gempa arah Y, sedangkan berdasarkan SNI 2002 untuk arah X sebesar 1544.5109 kN dan untuk arah Y sebesar 1544.8304 kN. Simpangan antar lantai telah memenuhi persyaratan kedua standar SNI. Struktur Gedung Diploma IPB telah memiliki kekakuan yang cukup dan terhitung boros, sehingga seharusnya dapat direncanakan dengan lebih hemat biaya.
Keyword: beban gempa, gaya geser dasar, simpangan, struktur atas