An Implementation of Digital Signature and Key Agreement on IEEE802.15.4 WSN Embedded Device

A wireless sensor network (WSN) now becomes popular in context awareness development to distribute critical information and provide knowledge services to everyone at anytime and anywhere. However, the data transfer in a WSN potentially encounters many threats and attacks. Hence, particular security schemes are required to prevent them. A WSN usually uses low power, low performance, and limited resources devices. One of the most promising alternatives to public key cryptosystems is Elliptic Curve Cryptography (ECC), due to it pledges smaller keys size. This implies the low cost consumption to calculate arithmetic operations in cryptographic schemes and protocols. Therefore, ECC would be strongly required to be implemented in WSN embedded devices with limited resources (i.e., processor speed, memory, and storage). In this paper, we present an implementation of security system on IEEE802.15.4 WSN device with the employment of Elliptic Curve Digital Signature Algorithm (ECDSA) and Elliptic Curve Diffie-Hellman (ECDH) key exchange protocol. Our experimental results on Intel Mote2 showed that the total time for signature generation is 110 ms, signature verification is 134 ms, and ECDH shared key generation is 69 ms on the setting of 160-bit security level

Comparative Analysis Spread Spectrum and Parity Coding Steganography in E-commerce

The transaction data online has increased compared to the previous communications that mostly in the form of voice and text messaging. To improve the security, data must be protected such a way that it cannot be attacked by unauthorized parties. In this case, a good security system must be able to transmit the original information to the second party without having to know the existence and validity by a third party. One of the security systems that can be used is steganography. In this paper, we will compare the performance of Spread Spectrum and Parity Coding in e-commerce based on Android in case of processing time between insertion and retrieval information, and the changing image size during the insertion process. Our experimental results show that parity coding has better performance on client side that use low performance smart phone based on Android operating system and spread spectrum has better performance on blackberry store server that use laptop PC

ANALISA KINERJA AGENT PADA CALL CENTER PT.INDOSAT,Tbk DENGAN IMPLEMENTASI DATA MINING CLUSTERING METODE K-MEANS

Abstrak Seiring dengan perkembangan Teknologi Telekomunikasi yang semakin pesat, kebutuhan akan konsep dan mekanisme dalam suatu call centre pada tiap-tiap provider telepon sangat diperlukan. Dimana dalam suatu call centre, bagian yang paling penting adalah agent (operator) yang bertugas untuk menerima panggilan telepon pada call centre tersebut. Untuk itulah disini diperlukan suatu kinerja yang baik dari seorang agent pada sebuah call center. Pada proyek akhir ini akan dilakukan analisa kinerja agent terhadap suatu implementasi datamining clustering dengan metode K-Means, yang dikombinasikan dengan bahasa pemrograman Java dan database MySQL. Dimana kinerja tersebut dilihat dari nilai dua buah parameter performansi yakni average call dan quality service. Dari hasil pengujian pengelompokkan (clustering) yang telah dilakukan dengan perhitungan berdasarkan standarisasi PT.Indosat,Tbk serta perhitungan menggunakan metode k-means dapat dikatakan bahwa performansi kinerja call center agent pada PT.Indosat,Tbk mengalami peningkatan. Dimana dengan menggunakan perhitungan berdasarkan standarisasi PT.Indosat,Tbk pada tahun 2008 jumlah rata-rata call center agent yang memiliki kriteria kinerja baik hanya mencapai 12%, pada tahun 2009 meningkat hingga menjadi 17%, serta jumlah rata-rata call center agent yang memiliki kriteria kinerja buruk pada tahun 2008 mencapai 16%, pada tahun 2009 menurun hingga menjadi 13%. Sedangkan dengan menggunakan perhitungan metode k-means pada tahun 2008 jumlah rata-rata call center agent yang memiliki kriteria kinerja baik hanya mencapai 42%, pada tahun 2009 meningkat hingga menjadi 44%. Bila dilihat dari waktu eksekusi yang didapatkan baik dengan perhitungan berdasarkan standarisasi PT.Indosat,Tbk maupun metode k-means untuk proses clustering 50 call center agent dapat diketahui bahwa dengan metode k-means waktu eksekusi yang dibutuhkan untuk proses clustering lebih cepat yakni sekitar 55 detik. Sedangkan waktu eksekusi yang dibutuhkan saat proses clustering dengan perhitungan berdasarkan standarisasi PT.Indosat,Tbk yakni sekitar kurang lebih selama 57 detik. Kata Kunci: Call Centre, Agent (Operator), Average Call, Quality Service, K-Means

Analisa dan Implementasi VoIP SIP pada Mobile Phone di Jaringan Bluetooth

Seiring dengan perkembangan teknologi VoIP yang ada, berbagai macam media komunikasi ikut berkembang, salah satunya bluetooth. Adanya teknologi Bluetooth Network Encapsulation Protocol (BNEP) membuat buetooth bekerja selayaknya perangkat yang berada pada jaringan Internet Protocol (IP). Teknologi VoIP merupakan teknologi yang menggunakan IP untuk membawa suara menjadi paket data.Sedangkan Session Initiation Protocol (SIP) merupakan protokol VoIP berbasis text yang dibangun secara IP-based. Pada penelitian ini akan dibangun sebuah VoIP SIP server dan menambahkan bluetooth dongle pada server tersebut. Bluetooth akan digunakan sebagai access point yang memberikan IP-BNEP pada setiap klien secara dinamis. Setelah itu akan dibuat program otomasi sistem access point yang diintegrasikan dengan jaringan LAN menggunakan bahasa pemrograman shell. Program otomasi sistem tersebut dijalankan secara otomatis ketika komputer server start-up. Server ini dapat diakses oleh setiap klien bluetooth dan juga klien yang berada di jaringan LAN dengan menggunakan softphone. Dari penelitian ini didapatkan bahwa registrasi SIP bluetooth klien dapat menjangkau maksimal 20 meter dari server VoIP SIP dengan nilai throughput 1,68kbps. Rata-rata QoS dari komunikasi antar PDA bluetooth menghasilkan delay sebesar 30ms dan packet loss sebesar 3,77%

Implementasi Smart Agent IP PBX pada Perusahaan Kelas SOHO

Smart Agent System which is a system that is needed in every company in memajukkan productivity. With the support of the system is then an employee can manage and improve their performance. Advancements in the field of economic development of areas affected by today's technology, comes a lot of online stores that sell a variety of goods on the internet. Most existing online store today is an enterprise-class SOHO (small office Home office) where by using his home as a residence and place of work. And in the implementation the company has few employees with some parts but have the same sales system with large-scale enterprise. In this final project implements a smart agent system by using an IP PBX Asterisk based on SOHO-class companies. IP PBX that the intent is a PC that serves as a mini server or IP-based PBX. While Asterisk is one of the server software VoIP (Voice over Internet Protocol) which can be used to build an IP PBX. In this final project has taken features of asterisk such as call forward, call pickup, conference calling, call parked, mailbox, followme, blacklist, call transfer, musiconhold, time base context and dial plan security. Results obtained in this final project of a smart agent system-based IP PBX Asterisk on SOHO-class company that has the features that support the communication agent. In testing this system obtained MOS values by 4.68 to *. wav file which is the default of asterisk 16bit PCM with sampling frequency of 8KHz. And the result is a qualitative test involves the full-featured IP PBX opinion as much as 97%, opinions need additional features as much as 3% and opinions of the most useful feature as much as 100% for IVR (Interactive Voice Response) of respondents who are perpetrators of SOHO and SOHO users. Keywords: SOHO, Smart Agent, Features, MOS (Mean Opinion Score), Qualitative testing

Analisa Performansi Call Center PT. Indosat, Tbk Dengan Menggunakan Formula Erlang C

Antrian panggilan yang masuk pada suatu call center merupakan hal yang sulit dihindari karena berkaitan dengan tingkat aktivitas pelanggan. Oleh karena itu, diperlukan pengukuran performansi call center untuk mengetahui seberapa bagus kinerja dari call center tersebut. Pada penelitian ini dilakukan analisa performansi dari call center PT.Indosat, Tbk yang ditinjau dari beberapa aspek yaitu rata-rata trafik harian, service level, jumlah agent minimum, probabilitas delay dan rata-rata delay setiap panggilan. Perhitungan probabilitas delay dan rata-rata delay menggunakan Formula Erlang C. Dari hasil penelitian terlihat bahwa untuk penilaian performansi yang ditinjau dari beberapa perhitungan, pada tahun 2008 kondisi Service Level lebih baik dibandingkan dengan tahun 2009 dimana nilainya sebesar 84.8% dan tahun 2009 sebesar 82.82%. Bila ditinjau dari perhitungan probabilitas delay (P>0) dan rata-rata delay setiap panggilan (T`), kinerja call center PT. Indosat, Tbk pada tahun 2009 lebih baik dari pada tahun 2008. Hal ini dapat dilihat dari rata-rata probabilitas delay tahun 2008 sebesar 14.6% dan pada tahun 2009 sebesar 4.001%, sedangkan nilai rata-rata delay setiap panggilan tahun 2008 sebesar 61.2 second dan tahun 2009 sebesar 16.2 second

Implementasi Clarke Wright Saving Method Pada Layanan Call Center Taksi Wisata Berbasis VOIP

Nowadays, technology of telecommunication has growth rapidly. Therefore is making easier for human to get newest information. Those information service give facilitate such as easy to access without considering place, time. Include entertainment services for people such as tourism planning. In this final project will create a call center services for tourism taxi with implementation of Clarke Wright Saving Method. This call center services will offering information about tourism and good place to visit also inform user about cost which is will be bear to user. Cost is include ticket, parking, also cost per km. Implementation of Clarke Wright Saving Method will help to get optimize route. Testing result of this final project showed computation time of saving algorithm is depending of the data. The more data is input by user, the more higher the computation time, e.g. for 5 nodes computation time is 0.186 s and for 10 nodes the time is 0.332 s. It is because the looping process will loop as many as the input data. Compare with greedy algorithm computation time only 0.034 s and 0.075 s for 5 and 10 nodes. So, it can be said computation time greedy is better than saving. For optimize route, saving is better than greedy, e.g. for 5 nodes in town saving is 48 Km and greedy is 54 Km, so route from saving is more optimize than greedy. And more than 50% said that this system is very helpful especially for planning a trip and cost expense

Secure Ubiquitous Sensor Network based on Elliptic Curve MenezesQu Vanstoneas Status Data Supply of EnvironmentinDisaster Management

oai::article/1Along with the many environmental changes, it enables a disaster either natural or man-made objects. One of the efforts made to prevent disasters from happening is to make a system that is able to provide information about the status of the environment that is around. Many developments in the sensor system makes it possible to load a system that will supply real-time on the status of environmental conditions with a good security system. This study created a supply system status data of environmental conditions, especially on bridges by using Ubiquitous Sensor Network. Sensor used to detect vibrations are using an accelerometer. Supply of data between sensors and servers using ZigBee communication protocol wherein the data communication will be done using the Elliptic Curve Integrated security mechanisms Encryption Scheme and on the use of Elliptic Curve key aggrement Menezes-Qu-Vanstone. Test results show the limitation of distance for communication is as far as 55 meters, with the computation time for encryption and decryption with 97 and 42 seconds extra time for key exchange is done at the beginning of communication .Keywords: Ubiquitous Sensor Network, Accelerometer, ZigBee,Elliptic Curve Menezes-Qu-Vanston

IMPLEMENTASI PEMESANAN BUKU SECARA ONLINE BERBASIS WEB DAN IVR

Nowadays, the development of information and communication technology of book grew rapidly. It showed by the increase of book order online application via telephone at some book stores still handled by the human operator. That process the database saved the information data of books. So, the customer still got the bad service when the human operator can�t handle. In this final project, made a system to make easier the customer to order book by web or IVR. All of book data which ready to order will be saved in database management system. The book order done by web which is the process connect to the web server. IVR server reminder feature for the member in 3 conditions. Reminder works when the book ordered by member is on database server, reminder works to remind the member for paying process of book order or 7 days before for booking process and new books reminder. From the analysis test, the result is the telephone number dialed by IVR server is the same telephone number on database. Then, from reminder test, by the average delay test between channels is 4,3 seconds. The test of website, the registration process, the data input must be a valid data. The login process use the username and password data which proper for registration process. For credit card validation process using luhn algorithm need a average time 0,0063838 seconds for valid number and average time 0,0001291 seconds for invalid number. Keyword : IVR, Reminder, Server, Database

OPTIMASI PEMILIHAN PAKET AUDIO MOBIL MENGGUNAKAN METODE SIMULATED ANNEALING BERBASIS CTI

Nowdays, people need a practical to buy an equipment. It�s because many of them feel confuse to fit their budget with the equipment feature they like. By website, the consumer will easily to get information from the items to be purchased. On this final project made a system which is make easier consumer to choose the car audio packet. By simulated annelling method, the consumer can be used the optimation process for choosing some item and controlling budget to buy car audio packet based on feature, brand, and price. In this system, interface and consumer access connected by website full with the catalog which is in database which integrated with IVR Server. In this system can simplify the optimization process choosing car audio packet based on budget and facility desired without place and time restrictions. The optimization process with simulated anneling method have a quality to give advice with budget or price parameter which has been input by consumer and can be accessed by 4 user in the same time. Keywords: Simulated Annealing, IVR, Web Server, Database