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Sistem Pendukung Keputusan Pengalokasian Spare Part Wiryasaputra, Rita; Hartati, Sri
IJCCS - Indonesian Journal of Computing and Cybernetics Systems Vol 6, No 1 (2012): IJCCS
Publisher : Indonesian Computer, Electronics, and Instrumentation Support Society (IndoCEISS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB)

Abstract

AbstrakEra informasi yang semakin berkembang mempengaruhi lingkungan bisnis. Pengaruhnya dapat dilihat pada proses pengambilan keputusan. Proses pengambilan keputusan terhadap sejumlah alternatif dan sejumlah tujuan diselesaikan dengan sebuah sistem. Sistem  yang bermodelkan Multi Attribute Decision Making (MADM) dan Multi Objective Decision Making (MODM). Model MODM digunakan untuk menyelesaikan perancangan alternatif terbaik dan model MADM digunakan untuk menyelesaikan penyeleksian terhadap beberapa alternatif dalam jumlah yang terbatas. Salah satu pendekatan model MADM adalah TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Konsep utama TOPSIS adalah alternatif preferensi terbaik memiliki jarak terpendek dari solusi ideal positif dan memiliki jarak terjauh dari solusi ideal negatif. Hasil metode TOPSIS adalah perankingan terhadap sejumlah alternatif. Salah satu masukan dari metode TOPSIS adalah nilai pembobotan kriteria. Nilai pembobotan kriteria dapat diberikan secara langsung oleh pengambil keputusan atau dihitung melalui sebuah metode. Penelitian akan menghitung nilai pembobotan kriteria dengan metode Entropy. Tujuannya adalah untuk memberikan objektifitas pembobotan kriteria. Penelitian mengangkat kasus tentang pengalokasian spare part ke sejumlah store. Alternatif terbaik dengan sumber daya yang terbatas, beberapa tujuan yang saling bertentangan didekati dengan metode Goal programming. Pengambilan keputusan akan lebih terarah karena sistem menghasilkan perankingan store spare part, dan menampilkan  informasi alokasi spare part.  Kata kunci— Sistem Pendukung Keputusan, Entropy, TOPSIS, Goal Programming AbstractThe capabilities of computrized systems facilitate decision support in a number of ways, such as speed computations, increased productivity ,improved data management and others. Decisions are often made by individuals. There may be conflicting objectives even for a  decision maker. The conflicting objectives can be solved by goal programming. Research of spare part allocation focuses on an individual decision maker and presents the solving problem with Multiple Criteria Decision Making (MCDM). A lot of MCDM approaches have been developed and applied to diverse fields, like engineering, management, economic, etc. As one of the known classical MCDM approaches, TOPSIS method is known to be a common method to get the preliminary outcome.  The main concept of TOPSIS is the best alternative has the shortest distance from the positive ideal solution and has the longest distance from the negative ideal solution.  Before the stores are ranked with TOPIS method, the management assigned a weightage to each store using Entropy method.  Keywords— Decision Support Model, Entropy, TOPSIS, Goal Programming.
Sistem Pendukung Keputusan Pengalokasian Spare Part Wiryasaputra, Rita; Hartati, Sri
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 6, No 1 (2012): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB) | DOI: 10.22146/ijccs.2037

Abstract

AbstrakEra informasi yang semakin berkembang mempengaruhi lingkungan bisnis. Pengaruhnya dapat dilihat pada proses pengambilan keputusan. Proses pengambilan keputusan terhadap sejumlah alternatif dan sejumlah tujuan diselesaikan dengan sebuah sistem. Sistem  yang bermodelkan Multi Attribute Decision Making (MADM) dan Multi Objective Decision Making (MODM). Model MODM digunakan untuk menyelesaikan perancangan alternatif terbaik dan model MADM digunakan untuk menyelesaikan penyeleksian terhadap beberapa alternatif dalam jumlah yang terbatas. Salah satu pendekatan model MADM adalah TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Konsep utama TOPSIS adalah alternatif preferensi terbaik memiliki jarak terpendek dari solusi ideal positif dan memiliki jarak terjauh dari solusi ideal negatif. Hasil metode TOPSIS adalah perankingan terhadap sejumlah alternatif. Salah satu masukan dari metode TOPSIS adalah nilai pembobotan kriteria. Nilai pembobotan kriteria dapat diberikan secara langsung oleh pengambil keputusan atau dihitung melalui sebuah metode. Penelitian akan menghitung nilai pembobotan kriteria dengan metode Entropy. Tujuannya adalah untuk memberikan objektifitas pembobotan kriteria. Penelitian mengangkat kasus tentang pengalokasian spare part ke sejumlah store. Alternatif terbaik dengan sumber daya yang terbatas, beberapa tujuan yang saling bertentangan didekati dengan metode Goal programming. Pengambilan keputusan akan lebih terarah karena sistem menghasilkan perankingan store spare part, dan menampilkan  informasi alokasi spare part.  Kata kunci— Sistem Pendukung Keputusan, Entropy, TOPSIS, Goal Programming AbstractThe capabilities of computrized systems facilitate decision support in a number of ways, such as speed computations, increased productivity ,improved data management and others. Decisions are often made by individuals. There may be conflicting objectives even for a  decision maker. The conflicting objectives can be solved by goal programming. Research of spare part allocation focuses on an individual decision maker and presents the solving problem with Multiple Criteria Decision Making (MCDM). A lot of MCDM approaches have been developed and applied to diverse fields, like engineering, management, economic, etc. As one of the known classical MCDM approaches, TOPSIS method is known to be a common method to get the preliminary outcome.  The main concept of TOPSIS is the best alternative has the shortest distance from the positive ideal solution and has the longest distance from the negative ideal solution.  Before the stores are ranked with TOPIS method, the management assigned a weightage to each store using Entropy method.  Keywords— Decision Support Model, Entropy, TOPSIS, Goal Programming.
PENGENALAN POLA SUARA MANUSIA BEREKSTENSI FILE WAV MENGGUNAKAN METODE FAST FOURIER TRANSFORM DAN BAYES Apriani, Nurlia; Wiryasaputra, Rita; Astuti, Lastri Widya
Computatio : Journal of Computer Science and Information Systems Vol 2, No 1 (2018): Computatio : Journal of Computer Science and Information Systems
Publisher : Faculty of Information Technology Tarumanagara University

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Abstract

The human voice is a very unique sound wave. That's because every human being has a different kind of sound wave. The fundamental difference in human voice is high the low the sound level associated with the signal from sound waves. The purpose of this research is to know the accuracy result from Fast Fourier Transform and Bayes method in pattern recognition. The Fast Fourier Transform method is used for feature extraction and Bayes method is used to calculate the sound probability value between the train data and test data, then Bayes Method is used to determine the result of the introduction of some previously stored train data. This research was made using Matlab R2016a, by matching the pattern of human sound that has been made before or called train data with new sound pattern or called test data. Testing is done on voice in the database and the voice is not in the database. Test results for voice in the database were 96% for first men and 76% for first women. While testing for voice is not in the database is 46% for second men and 50% for second women
PENERAPAN ANALISA SWOT DALAM SISTEM PENDUKUNG KEPUTUSAN MANAJEMEN DI MUBAROK RESTO Mubaroq, Ahmad; Wiryasaputra, Rita; Verano, Dwi Asa
Jurnal Informatika Global Vol 8, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

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Abstract

Information now become an absolute necessity for an organization or company to win a competition Along with the development of information needs, especially for restaurant owners to make decisions and to find out problems that occur in the restaurant, then developed an information system called decision support system. With decision support system information can be displayed in the form of a brief and displays the data in accordance with the needs so as to facilitate a restaurant owner in making decisions effectively, Problems that appear on Mubarok Resto that is not a system to help restaurant owners in making decisions on problems that occur in restaurants covers of internal and external factors of the restaurant.To overcome these problems is by applying SWOT analysis as a tool to analyze internal and external conditions in the development of decision support systems that specifically manage data information internal and external problems that occur in Mubarok Resto, the expected results of this research is to make a SWOT analysis application that can facilitate restaurant owners in making effective restaurant decisions.Keywords : Decision support system, SWOT, Management, Web applications.
Pembangunan Modul Pembelajaran Bahasa Inggris Menggunakan Grammar Translation Method Berbasis Android Ambarwati, Noviani Kurnia; Wiryasaputra, Rita; Puspasari, Shinta
Ultimatics : Jurnal Teknik Informatika Vol 8 No 2 (2016): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Program Studi Teknik Informatika UMN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (813.994 KB) | DOI: 10.31937/ti.v8i2.516

Abstract

English has become the international language now used in almost all areas of global life and connect to transfer knowledge to the whole world, for the mastery of the English language allows a person to expand interaction in the international world. To help in learning English to primary school students, especially in class 3-5 primary school will be built learning module applications. In order to teach English well, better know the methods used in the process of learning English in primary school is the grammar translation method (GTM), which is a method of teaching grammar to the main characteristics focusing on translation (translation) and to memorize verb forms. This application is intended as an alternative to learning to enhance students’ understanding of the material about the translation and pronunciation of English interactive fun, the application is built using the Android operating system. Index Terms— Android, English, Elementary students, Grammar Traslations Method, Learning Module.