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Abstrak :
With the possibility of cross matching between input tax invoice and output tax invoice electronically, then manual input tax confirmation method has been leaved and replaced with electronically input tax clarification method using Taxation Information System Application (PK-PM Program through Computer). It is different from manual confirmation method where the cross matching of input - output tax is conducted selectively on entrepreneur-imposed tax that is inspected in the event of PPN restitution in accordance with Distribution Letter of General Director of Tax No: SE - 35IPJ.5Il 989, in electronically input tax clarification method, the cross matching of input - output tax is not conducted selectively not only to the inspected entrepreneur imposed tax, but to all entrepreneurs imposed tax. This matter can be possible because the comparison electronically is easier, accurate, not spend much time and can be executed in any time. The objective of this research is to recognize the importance of cross matching electronically conducted by the General Director of Tax on input tax reported by buyer with output tax reported by seller is in accordance with the decision of General Director of Tax No: KEP - 754/PJI2001. With cross matching electronically, besides it is easier, it is also aimed to decrease work burden of PPN and PTLL section, not need anymore to answer confirmation request from other work unit manually because cross matching process has been replaced electronically. Different from manual confirmation method, cross matching method electronically emphasizes on data recording tax Invoice mentioned in attachment of SPT PPN on time and accurately so that said objective can be realized. Besides, the cross matching method electronically also focuses on the existing follow up on confirmation response stating "exist and suitable with explanation" or response stating "not exist. Therefore the existing of said matters it needs to be conducted further investigation. Research method used is descriptive analysis method, with giving questioner to employee running duty in PPN and PTLL section at two offices of tax servicing in Jakarta. Accompanying with library research, learning taxation regulation, report, electronic data recording result, cross matching data of tax invoice electronically, warning letter and follow up of confirmation response stating "Not Exist". From the result of research can be concluded that cross matching of input - output tax electronically is very significant to decrease work burden in PPN and PTLL section as long as data recording of tax invoice mentioned at the attachment of SPT PPN is conducted on time and accurately. Factors influencing cross matching electronically is human resources, quantity and quality of entrepreneur imposed tax, time accuracy and the accuracy of data recording of input - output tax, as well follow up of confirmation response. Unfortunately, from the result of research also can be concluded that follow up on confirmation response stating "Exist and suitable with Explanation or response stating "Not Exist" is not conducted properly, data recording of input - output tax is not conducted on time, and the process of confirmation response need time more than previous method so that it causes the objective of cross matching of tax invoice electronically cannot be reached. It is suggested that the objective of tax invoice cross matching electronically can be reached. It is also better to submit notice letter electronically (e-Filling) as determined in the decision of General Director of Tax No : KEP - 05JPJ12005 concerning way order of notice letter submitting electronically (e-Filling) through application service provider (ASP) can be implemented as soon as possible so that data recording of input - output tax in PPN and PTLL section can be removed_ Besides, the supervision on follow up of confirmation response stating "Exist and suitable with explanation" or response stating "Not Exist needs to be more increased with not only publishing warning letter to PKP sellers who have not settled their tax invoice as output tax, but also accompanied by publishing SKPKBISKPKBT or proposal for conducted inspection if it can be proved that tax invoice is not valid.

Abstrak :
Salah satu dari masalah-masalah dominan pada komputasi biologi molekuler adalah penyejajaran barisan berganda (Multiple Sequence Alignment - MSA) dari DNA. Banyak metode yang telah diajukan untuk menyelesaikan masalah MSA seperti pemrograman dinamik dan heuristik. Satu metode telah diajukan oleh Althaus et al. untuk menyelesaikan masalah MSA yang didasarkan pada pemrograman linear bilangan bulat (Integer Linear Programming - ILP). Formulasi ILP umum dari masalah MSA diturunkan dari representasi graf dari masalah MSA. Walaupun formulasi ILP umum dari masalah MSA diketahui, membentuk model ILP dari suatu masalah MSA yang dapat diselesaikan langsung menggunakan suatu solver ILP tidaklah mudah. Sebuah program yang dapat membangun dan menyelesaikan model ILP dari sebuah masalah MSA menggunakan MATLAB telah dibuat. Metode yang digunakan untuk menyelesaikan model ILP tersebut adalah branch-and-bound. Program yang telah dibuat dapat menghasilkan model ILP dari sembarang masalah MSA yang diberikan tetapi hanya dapat menyelesaikan masalah MSA dari sejumlah kecil barisanbarisan DNA yang pendek. Hasil dari program tersebut adalah penejajaran barisan-barisan DNA dari masalah MSA yang diberikan.

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One of the dominant problems in computational molecular biology is multiple sequence alignment (MSA) of DNA. Many methods have been proposed to solve MSA problem such as dynamic programming and heuristic. A method has been proposed by Althaus et al. to solve MSA problem which is based on integer linear programming (ILP). The general ILP formulation of the MSA is derived from the graph representation of the MSA problem. Although we have the general ILP formulation of the MSA problem, constructing the ILP model of an MSA that can be solved directly using an ILP solver is not straightforward. We develop a MATLAB program that can generate and solve the ILP model of an MSA problem. The method that is used to solve the ILP model is branch-and-bound. The constructed program can generate the ILP model of any given MSA problem but can only solve an MSA problem of a small number of short DNA sequences. The result of the program is the aligned sequences of the MSA problem.