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INDONESIA
Jurnal Techno Nusa Mandiri
ISSN : 19782136     EISSN : 2527676X     DOI : -
Core Subject : Science,
Jurnal TECHNO Nusa Mandiri, merupakan Jurnal yang diterbitkan oleh Pusat Penelitian Pengabdian Masyarakat (PPPM) STMIK Nusa Mandiri Jakarta. Jurnal TECHNO Nusa Mandiri, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh dosen-dosen program studi Teknik Informatika.
Arjuna Subject : -
Articles 142 Documents
PERANCANGAN CLUSTERING UJIAN ONLINE STUDI KASUS BINA SARANA INFORMATIKA Sumarna, Sumarna
Jurnal Techno Nusa Mandiri Vol 12 No 1 (2015): TECHNO Periode Maret 2015
Publisher : PPPM Nusa Mandiri

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Abstract

A good infrastructure, which can handle hundreds or even thousands of requests from the client and have zero downtime, absolutely necessary by each institution. Clustering is a technique used to improve the performance of a site, whereby using this method, the workload on a site will be divided into any existing server farm behind him. The purpose of this research report is to build a system of clustering and performance tested by performing a stress test cluster and non-cluster. Metologi used in this study is to conduct a needs analysis has been established by the company in the form of a quick response from servers and availability of data (availability). Then the author of designing architecture and implementation of the web server clustering system. Performance of the test has been done, the author concluded that the response time and availability much greater clustering techniques both from a single server.
PENERAPAN METODE LOAD-BALANCING CLUSTERS PADA DATABASE SERVER GUNA PENINGKATAN KINERJA PENGAKSESAN DATA Muliyantoro, Halim Setya
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

 Information systems are complete and easy access is a necessity that a company owned. With the company's information system is its credibility to go public and to better known by the general public. In line with the development of information technology very rapidly, sometimes in actual access to the system failure can also occur due to the failure happened server side. Failure caused by the server itself dies and there is no backup from another server when the primary server directly replaces dead or can also occur overload Access on the server so that the server can be crushed or down. One way to improve the quality of services will be increasingly large data is to divide the workload on the database server access in order that all requests from users can be served well. In this research design to optimize the performance of the database server using load balancing mechanisms clusters with MySQL Cluster technology. MySQL Cluster where there is a feature that can perform database replication and there is also a system that is able to cope with the failure of the database system itself.
OPTIMALISASI KUALITAS JARINGAN INTERNET DENGAN METODE PEER CONECTION CLASSIFIER PADA LAYANAN WEB AUTENTIFICATION Sukendar, Toni
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

Along with the increasing need to used existing resources in the development of computer network technology has led to the emergence of the network itself. Availability of resources will be inversely proportional to the level of need are now demanding networking technologies floated a new technique that can resolve the issue. Load balancing is a technique that can harness routing multiple resources to be used simultaneously. However, there are various methods that can also be used, including methods of NTH, PCC load balancing and Fail Over. This study discusses the PCC Load Balancing Methods In Autentification are accessing the web, which is considered as needed. The implementation of load balancing so that resources are used optimally.
PRINCIPAL COMPONENT ANALYSIS UNTUK ANALISA POLA TANGKAPAN IKAN DI INDONESIA Kristiana, Titin
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

Different kinds of fish in Indonesia is very much known to exist more than 80 species of fish caught in the waters of Indonesia. To find out which type of fish caught necessary analysis of the data pattern catches so as to know what kind of fish are caught. Search pattern or associative relationships of large-scale data that are closely related to data mining. Analysis of the association or the association rule mining is a data mining technique to discover the rules of associative between a combination of items. In the association rule method, there are two processes, namely the process of generating Frequent Itemset and trenching association rules. Frequent Itemset Generation is a process to get itemset interconnected and has a value of association based on the value of support and confidence. The algorithm used to generate the frequent itemset is Apriori Algorithm. Apriori algorithm has a weakness in the appropriate feature extraction that is used to attribute causing rule that formed a research a lot in based applying apriori algorithm principal component analysis to obtain a more optimal rule. After experiments using apriori algorithm with a magnitude Φ = 30, min Support 80% and 80% Confidence min rule formed results totaled 82 rules. While the second experiment was done by using an algorithm based on principal component analysis prior the magnitude Φ = 30, min Support 80% and 80% Confidence min formed results amounted to 12 rules to fully lift the ratio of 1
SISTEM PAKAR MINAT DAN BAKAT ANAK DENGAN MULTIPLE INTELLIGENCES BERBASIS WEB PADA SDIT MUTIARA ISLAM DEPOK Sureni, Sri; Herlawati, Herlawati; Supendar, Hendra
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

Identifying talents of children as early as possible as parents will surely find it helpful because parents can directly lead and guide so that their interests and talents can flourish. So it is with the child, the child can explore talents honed better and also can fill the days in its path with an activity that is meaningful to him and certainly liked it. Therefore needed an expert system application that can help figure it out. Application of expert system is an expert system that created the interest and talents of children elucidation web-based. The system uses a forward search method (Forward Chaining) to determine the child's interests and talents. The theory used is the theory of multiple intelligences (Multiple Intelligences) by Professor Howard Gardner. Expert System Application Determination interest and Kids Talent is expected to help in knowing the interests and talents of children as early as possible. So with a system of this application, parents can maximize skill children, so that children can be multitalented.
PERANCANGAN VOICE OVER INTERNET PROTOCOL (VoIP) MENGGUNAKAN VIRTUAL PRIVATE NETWORK (VPN) PADA PT CARE TECHNOLOGIES Rusdiansyah, Rusdiansyah; Herlawati, Herlawati; Sari, Eka Puspita
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

Current technological developments to make a change from several sides. As in telecommunications are now developed with incoming. One of them is VoIP. VoIP is a technology capable of passing voice in packet form. With this VoIP technology, one can make telephone communication via the internet. To use this VoIP one can use the handphones are connected tolapop or PC. However, the use of VoIP has a disadvantage that can be done tapping at the time the conversation is being conducted. VPN (Virtual Private Network) is a way of creating a private network are using a public network / Internet. With a VPN network, a user as if connected by point to point that they are not. Consists of VPN-management protocols that can perform encryption and tunneling as PPTP (Point to Point Protocol), L2TP (Layer 2 Tunneling Protocol) and IPSec(Internet Protocol Security). With the capabilities of the VPN is expected that the wiretapping of conversations being conducted by the user can be prevented.
ALGORITMA C4.5 UNTUK PREDIKSI HASIL PEMILIHAN LEGISLATIF DPRD DKI JAKARTA Evicienna, Evicienna; Amalia, Hilda
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

Elections are a means of implementation of the sovereignty of the people in the Unitary State of Indonesia based on Pancasila and 1945 Constitution. Elections held in Indonesia is to choose the leadership of both the president and vice president, member of parliament, parliament, and the DPD. The election results should be predicted accurately because of an impact on various aspects of social, economic, security, and others. Based on these problems we need a model that can accurately predict the outcome of the election. C4.5 algorithm model is a model that is easy to understand and has a good degree of accuracy. By using the C4.5 algorithm models the obtained results are of high accuracy values for the election results in the amount of 97.84% and the AUC value obtained is 0.970 with a diagnosis rate Excellent Classification
PREDIKSI HASIL PEMILU LEGISLATIF DKI JAKARTA DENGAN METODE NEURAL NETWORK BERBASIS PARTICLE SWARM OPTIMIZATION Badrul, Mohammad
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

General elections are a means of implementation of the sovereignty of the people in the unitary state of Indonesia based on Pancasila and 1945 Constitution. Elections held in Indonesia is to choose the leadership of both the president and vice president, member of parliament, parliament, and the DPD. The related research of general election usually using decision tree algorithm neural network algorithm. Each of the methods has strengths and weakness, but a neural network algorithm can solve a problem in the decision tree algorithm. The accuracy using a neural network algorithm in predicting the election has less accurate. In this study created a model neural network algorithm and neural network algorithm model based genetic algorithm to get the rule in predicting the outcome of legislative elections and provide a more accurate value of accuracy. After testing the two models namely neural network algorithm and neural network algorithm based on particle swarm optimization, the results obtained are the neural network algorithm produces an accuracy value by 98,50% and the AUC value of 0.982, but after the addition of neural network algorithm based on particle swarm optimization value of 98,85 % accuracy and AUC value of 0.996. So both methods have an accuracy rate of 0.35 % difference and the difference in the AUC of 0.14.
ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT (E-CRM) BERBASIS DESKTOP DAN WEBSITE PADA PT.ZIMA TRANSLOGISTIC Hidayat, Rachmat
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

The rapid development of information technology is happening now in our country especiallyIndonesia, Technology no longer a strange, even needed to support the performance of an organization. For now, without the support of a company's information technology may be impossible to develop. In this context, the information can be said to be the key to support and improve the management of the company in order to win the competition that the longer the more increase. One method that can be used to improvise and improve services and promotions to customers is with CRM is Customer Relationship Management, PT. Zima Translogistic company engaged in the expedition with many customers in desperate need of the system very quickly and precisely so that the customer will get the satisfaction of administrative services and information accurate, these problems made the system desktop-based e-CRM for customer transactions and website to get the information related to customer transactions.
PENERAPAN DATA MINING BERDASARKAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI DALAM PENENTUAN POLA BELANJA KITCHEN APPLIANCES Budihartanti, Cahyani
Jurnal Techno Nusa Mandiri Vol 10 No 1 (2013): TECHNO Periode Maret 2013
Publisher : PPPM Nusa Mandiri

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Abstract

Data cannot be separated in the activities of a company, the daily, both large companies, small and personal. But sometimes there are many companies that do not maximize to utilize existing data and not infrequently there is an ignore, especially if the data is outdated and no longer needed. In this study, the authors attempt to explore these data more useful and can give you information and knowledge for the company. Data to be explored is the data on sales, ie how to use transaction data available on the company can figure out the pattern/behavior of consumers towards a product that is bought by the method of determining customer buying patterns of your kitchen appliances. To be able to produce accurate information is required in determining spending patterns of historical transaction data processing with data mining techniques. In this research can be done by applying the algorithm associated with the use of apriori. Apriori algorithm is able to analyze and discover relationships between the similarity of thegoods purchased items. Apriori algorithm can be evaluated by applying a minimum value ofsupport and confidence, using software RapidMiner results from the application of a priorialgorithm is proven accurate in determining the pattern of spending your kitchen appliances.

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