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INDONESIA
Jurnal Sistem Komputer
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
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Articles 6 Documents
 1 
Search results for , issue "Vol 7, No 1 (2017)" : 6 Documents clear
DECISION SUPPORT SYSTEM BASED ON BCR METHOD FOR PROJECT TENDER Rukmana, Siti Hardiyanti
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.129

Abstract

The procurement process became one of the important aspects for PT. PLN (Persero) to operate the company. One way to meet these needs is through the project tender. The tender process aims to get high-grade materials with the lowest prices that meet the criteria of efficiency PT. PLN (Persero). In order to simplify the bidding process required a decision support system. The method used in this system is Benefit Cost Ratio (BCR). Input in this application are the documents and the tender offer price from bidders with complete tender documents that have been validated by prospective bidders and then selected by the tender committee to make an assessment and validation winner. The output of this process is the winner of the tender project based on calculations Benefit Cost Ratio (BCR). Therefore, the method Benefit Cost Ratio (BCR) can be used as a decision support system to determine the winner of the project tender.
FUZZY LOGIC DAN LEXICAL CHAINS UNTUK PERINGKASAN TEKS OTOMATIS Afnan, Wulan Kamilia; Widiastuti, Nelly Indriani
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.130

Abstract

Automatic text summarization (ATS) is a process that was required to produce a summary of a text that contains information with help from a computer. This system is needed to determine the subject matter of a document so that readers can quickly understand. ATS systems need to process the documents resulting in important sentences from the document. In this study, lexical chains were used to generate optimal value for the candidate most powerful word in each sentence. The document is extracted to produce features such as sentence length, the weight of the sentence, the position of the sentence, and the similarity between sentences. The value of the strongest chain will be combined with fuzzy parameters. These features Fuzzy logic predicted the results of a summary of the values of the parameters to be grouped based on the value of linguistic important and unimportant. Furthermore, the final value of the fuzzy will determine the final outcome text summary of the document that was input by the user lexical chains. Testing conducted by manual sentence summary results sourced from respondents and a summary of the results of the ATS system recall, precision and F-measure. Based on the results of research that include the step of determining the problem, the analysis to implementation and testing that has been done before, it can be concluded that the results of the implementation of the method of lexical chains with fuzzy logic for automatic text summarization achieve fairly good.
PENGEMBANGAN SISTEM PENUNJANG KEPUTUSAN BERBASIS WEB UNTUK MENENTUKAN BEST CUSTOMERS DENGAN MODEL RFM (RECENCY, FREQUENCY DAN MONETARY), METODE COMPARATIVE PERFORMANCE INDEX DAN ALGORITMA K-MEANS anggoro, dani
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.132

Abstract

Loyalitas merupakan hal yang penting dibangun setiap perusahaan untuk memenangkan kompetisi. Salah satu cara untuk meningkatkan loyalitas pelanggan adalah dengan memberikan reward kepada pelanggan terbaik. Konsep RFM (recency, frequency dan monetary) dapat dipergunakan untuk menentukan pelanggan terbaik dan mengukur nilai loyalitas pelanggan. Metode Comparative Performance Index (CPI) diaplikasikan untuk menentukan bobot relatif variabel RFM dan menentukan nilai atau peringkat masing-masing pelanggan. Untuk membentuk pengelompokan pelanggan digunakan algoritma K-Means. Berdasarkan pengujian ISO 9126 model RFM (Recency, Frequency dan Monetary) merupakan kriteria penilaian yang tepat untuk mengukur nilai loyalitas pelanggan. Proses pengelompokan pelanggan dengan algoritma K-Means membutuhkan proses yang cukup lama bergantung pada jumlah transaksi sesuai dengan periode pengelompokan. Namun dengan adanya sistem, proses pengelompokan menjadi sangat efisien dibandingkan dengan melakukan pengelompokan secara manual. Hasil pengujian dengan ISO 9126, sistem yang dikembangkan sudah bekerja sesuai dengan fungsinya.   Kata kunci : Decision Support System, Pemilihan Best customers,  RFM,  Comparative Performance Index (CPI), K-Means
E-COMMERCE PAYMENT AUTHENTICATION SYSTEM WITH SIM CARD Tanaya, Rico Andropurnomo
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.134

Abstract

Smart card is a device, which used for multi purpose needs to secure content and information. This device has many forms, for example like cards, which used to secure banking transaction, SIM card, which used to store operator subscriber’s information as well as embedded smart card which used for many IOT (Internet Of Things) devices. The purpose of this research is to test whether SIM card can be used to secure credit card data that besides to store data, SIM card can also used to do verification and encryption. This research uses multiple standardizations as a base to build the prototype simulation that is PA-DSS and ISO 7816. PA-DSS standard used as a base to build client side and server side application and ISO 7816 is a protocol interface for smart card. With this research, I hope that we can see clear that it is possible to build a alternate payment system by using SIM card for storing purpose and credit card verification.
SEGMENTASI CITRA LAHAN BEKAS TAMBANG TERBUKA MENGGUNAKAN METODE DETEKSI TEPI CANNY Ambarwati, Ayu; Passarella, Rossi; Sutarno, Sutarno
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.137

Abstract

Edge detection in the image of mining land become an important  because this process is the first step improve the appearance of the boundary line of an object image. Canny edge detection method is popular and has the advantages of detecting and localizing well, as well as a clear response. Selection of parameters greatly affect the outcome Canny edge. Parameters include standard deviation Gaussian (σ), the size of the Gaussian filter matrix and a threshold value. Canny method has 5 process consists a smoothing, finding gradient, non-maxima suppression, double thresholding and edge tracking by hysteresis. In this study determined the size of the matrix of 5x5, 7x7 and 9x9 while the value of σ of 1, 2.5 and 5.  Thresholds are adjusted using Otsu method. The program is created using programming language C#. The result showed that the greater size of the matrix and value of σ then produce blurred image. For the same matrix size, the greater the value of σ produce the smaller threshold and edge image obtained more detail.
Metode Microsoft Clustering untuk Meningkatkan Potensi Penerimaan Mahasiswa Baru Suharyadi, Suharyadi; Sediyono, Eko
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.138

Abstract

The competition among private universities in Indonesia for students admission is getting tough. This phenomenon is triggered by the fact that the main source of income for those universities is from their students. In order to win the competition is the targeting the promotion to the right area. Clustering method in data mining could be utilized get the information on the segment of prospective students, By segmenting these prospective students, a good promotion could be carried out in a more organized way. It also helps to achieve the cost effective and the target that the universities have. One of the advantages of this kind of promotion is minimizing the promotion costs and the increasing responses from prospective students. This model is built using the ready to use tool in the market,Microsoft Excel and SQL Server 2008 Data Mining Add in. By implementing thus segmenting process to the applicant, it could classify which areas contributing to the number of the prospective students and which major they are interested in.

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