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Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
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Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
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Articles 6,850 Documents
Pengukuran Kualitas Website Unit Pengembangan Karir dan Kewirausahaan Universitas Brawijaya Menggunakan Metode Webqual 4.0 Ananty Yunanda Rezkiani; Suprapto Suprapto; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Website is a media technology that can deliver all kinds of information quickly. One of the institutions that use the website media is Unit Pengembangan Karir dan Kewirausahaan Universitas Brawijaya or commonly called UPKK UB. UPKK UB uses website to convey or disseminate information about job vacancy, training and socialization to enter the field of job. UPKK UB said that They never made a measurement of website quality although there are some complaints from the users, so that UPKK UB felt that they need to make a measurement of website qulity.From the description of the problem, the measurement of website quality UPKK UB by using webqual 4.0 method which aim to know webqual variable that influence user satisfaction, from indicator of webqual 4.0 need improvement for website UPKK UB, and give recommendation improvement. Data analysis techniques were performed using SEM (Structural Equation Model). The tool used in this research is SmartPLS 3.0 as a tool (Partial Least Square) PLS. Based on the result of the survey of 99 respondents, the value of R square for the user satisfaction variable is 0.546, which means that the value indicates variable satisfaction can be explained by variable usability, information quality, and service interaction quality of 54.6%, while the rest is 45.4% is influenced by other variables not found in this study. The result of the data analysis there are 7 indicators of webqual 4.0 that need improvement.
Analisis Performa Protokol 802.11n Pada Mikrokomputer Raspberry Pi Retno Perwita Sari; Kasyful Amron; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The need for better infrastructure development to support human resources (HR) needs to be done. One of the important infrastructure is the information technology infrastructure in the field of telecommunication. Adequate telecommunication facilities are expected to help rural areas. One of the way is with wireless technology. Wireless technology has advantages in easy installation and cheap because it does not need a cable. Wireless technology can be implemented in the form of wireless mesh with the selection of the 802.11 as a wireless protocol because it supports multiple devices and has a wide range. It is also necessary routing protocol in this research that is OLSR. OLSR to be selected due to the OLSR work concept that always updates the routing table at any times. Choosing Raspberry Pi for microcomputer due to wifi requirement that must be available that can not be given by microcontroller like arduino. Once a facility is established, a performance test is required to determine the performance of the protocol and the microcomputer used in accordance with the field conditions. Parameters in the performance testing protocol 802.11 and Raspberry Pi is packet loss, delay, throughput, CPU and memory usages. From the test results showed that the highest packet loss reached 0.38% when the measured data is the largest data in this study that is 65507 B. Highest delay reached 1.09 second while the experiment with a large data 32768 B, the largest throughput reached 64.13 Bps on the largest data is 65507 B, CPU usage is only 0,5% and memory that not exceed than 0,8% of total CPU resources available.
Evaluasi Pengaruh Keamanan Data Dan Kepercayaan Pelanggan Pada Website E-Commerce PT. XYZ Firman Eko Purnomo; Ari Kusyanti; Himawat Aryadita
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

XYZ is a Joint-venture between PT. Telkom Indonesia and eBay. Have a concept as Online-Marketplace. Number of users of e-commerce website PT. XYZ in 2017 in Indonesia for more than 1,000,000 users. This study aims to determine what factors affect the acceptance of e-commerce website PT. XYZ, the variables used are the variables of the Unified Theory of Acceptance and Use of Technology (UTAUT) model and other variables that include trust and perceived security. This research uses parametric method. For data collection methods using an online questionnaire. As for the sampling technique using probability sampling technique is simple random sampling with the minimum number of samples using the formula Hair et. Al. Data obtained from 138 respondents and data to be used in this study for 111. Furthermore, the data have been collected to test the basic assumptions and test the classical assumptions of normality, homogeneity, multicollinearity, heteroscedasticity and autocorrelation. Data that passed the assumption of basic and classical tests carried out parametric analysis using multiple linear regression. The results showed that not all variables studied significantly influence the behavioral intention e-commerce website PT. XYZ. The variables that have significant influence are Social Influence and Perceived Security.
Implementasi Quality of Service pada Protokol Message Queue Telemetry Transport - Sensor Network (MQTT-SN) Berbasis Arduino dan NRF24L01 Sofi Hanifah; Sabriansyah Rizqika Akbar; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Message Queue Telemetry Transport - Sensor Network (MQTT-SN) is a communication protocol derived from the Message Queuing Telemetry Transport (MQTT) protocol that applied to the sensor network. To apply MQTT-SN requires Quality of Service (QoS). QoS is a method of measuring the quality of network and an attempt to define the characteristics and properties of a service so that messages are received. The Application of QoS in MQTT-SN is very important to ensure the receipt of data. This research implies QoS mechanism on Arduino Nano with NRF24L01 wireless communication using MQTT-SN message format. In this research is tested with different QoS level to get different result in each level of QoS. MQTT-SN with QoS level 0 allows packets not to reach the gateway because publishers continue to publish without any reciprocity from the gateway that make publishers don't know wether the message is delivered to the destination or not, and average accepted message 70%. While MQTT-SN with QOS level 1 the gateway can not distinguish publish data at the first time and next so duplicated messages can be happen until 30%. MQTT-SN with QoS level 2, the message is received exactly once due to temporary data storage on the gateway that make protocol will ignore data that is not needed and average accepted message 100%.
Penggunaan Ciri Geometric Invariant Moment pada Pengenalan Tanda Tangan Rahma Juwita Sany; Agus Wahyu Widodo; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 9 (2017): September 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Signature as a personal attribute is one of the person's identity verification equipment that is accepted widely by the society. The process of signature recognition starts from starts from preprocessing, which consist of filtering, thresholding, thinning, cropping and resizing. After preprocessing continued by feature extraction process using Geometric Invariant Moment to get the value of a feature that will be used for the classification process using K-Nearest Neighbour. The variations Geometric Invariant Moment feature that has the smallest of FAR value and FRR value on each data source are different. For data from Indonesia the smallest FAR obtained while using moment 7 with value is 7% and the smallest FRR obtained while combining moment 1,2,3,6 and 7 and using all of the moment with each value is 61.5%. For data from Spain the smallest FAR obtained while combining moment 3,4,5 and 7, moment 1,3,4,5 and 7 and combining 1,3,4,5,6 and 7 with each value is 7% and the smallest FRR obtained while combining moment 2,3,4,5,6 and 7 and using all of the moment with each value is 72%. For data from Persia the smallest FAR obtained while combining moment 3 and 5 and combining moment 3,5 and 6 with each value is 9.5% and the the smallest FRR obtained while combining moment 1,2,3,4,6 and 7 with value is 37%. The testing results of FAR and FRR is inversely proportional. The system can recoginize the fake signatures well that proven by getting FAR value is relatively small on all of data sources. But the system can't recognize the original signatures well that proven by getting the high FRR value on all data sources. Features of Geometric Invariant Moment that applied globally on an image don't provide high accuracy. Perhaps, it happened because when apply global feature, the local features can't recognize properly. It occurs on the original signature image, while the application of the features of Geometric Invariant globally on the fake signature image provide high accuracy.
Perancangan Business Process Improvement Untuk Layanan Kepegawaian Menggunakan Domain Service Design Dalam Framework Information Technology Infrastructure Library (ITIL) V3 (Studi Pada Bank XYZ) Citra Hemas Jati Inayu; Yusi Tyroni; Nanang Yudisetiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

XYZ Bank is a banking company with head office in Jakarta. The employment service business process for leave, overtime, and update of employee data at Bank XYZ still rely on paper based, so that the HC area unit (Human Capital) must manually input recap data into SAP (Employee Administration System). HC area unit employees will be particularly vulnerable to input errors that can be fatal for employee salary calculations. The implementation of paper based on some activities of leave, overtime, and data update also cause the process runs less efficient and effective so that the processing time becomes longer. The method used in doing business process improvement refers to the framework of ITIL v3 domain service design. The result of the business process improvement of XYZ staffing service business for leave is an average time acceleration of 58.11 minutes due to loss of PIC (Person in Charge) activity in requesting and submitting the leave leave form, as well as equalization of utilization to superiors, employees and HC area due to loss of role PIC and courier. In the employee overtime business process, the average acceleration time of 370.98 minutes due to loss of PIC's role in manual recording, as well as equitable distribution of employers, officers, and HC areas due to loss of PIC and messenger role. In the business process update employee data there is an acceleration of 22.6 minutes due to loss of activity provide the form and input employee data, and there is a change in resource utilization percentage due to reduced HC area activity.
Pembangunan Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGis: STUDI KASUS : OUTLET MCDONALD'S CABANG WATU GONG, MALANG Adzanil Rachmadi P; Fatwa Ramdani; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 1 (2017): Januari 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Perusahaan McDonald's adalah perusahaan yang bergerak dalam bidang penjualan makanan cepat saji. McDonald's Indonesia memiliki cabang atau outlet yang tersebar di berbagai daerah di Indonesia. Salah satu outlet yang dimiliki McDonald's Indonesia yaitu outlet McDonald's cabang Watu Gong, Malang. Seperti outlet-outlet yang lain, salah satu jenis layanan yang ada pada outlet McDonald's cabang Watu Gong, Malang adalah delivery order. Tiap-tiap outlet memiliki Kelurahan yang menjadi batasan area pelayanan untuk jenis layanan Delivery Order. Beberapa pelayanan yang kurang baik, membuat pelanggan merasa kurang puas akan menyebabkan pelanggan melakukan komplain. Saat ini, outlet McDonald's cabang Watu Gong, Malang membutuhkan sebuah sistem informasi geografis berbasis web yang dapat menampilkan jumlah komplain pada kelurahan tertentu berdasarkan kategori komplain, dan sistem yang juga dapat menampilkan chart untuk mengetahui waktu yang paling sering digunakan pelanggan dalam melakukan komplain, tentunya berdasarkan kategori komplain. Tujuan dibangunnya Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGIS agar pihak outlet McDonald's cabang Watu Gong, Malang dapat mengetahui informasi mengenai jumlah komplain dan waktu komplain lebih dini. Pada akhirnya, pihak outlet McDonald's cabang Watu Gong, Malang dapat mengevaluasi dan melakukan perbaikan terhadap kualitas pelayanan agar lebih adaptif serta lebih cepat berasarkan informasi yang didapat dari Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGIS. Dengan adanya Sistem Informasi Manajemen Keluhan Peanggan Berbasis WebGIS, diharapkan komplain yang terjadi dapat dikurangi hingga tidak ada komplain atau zero complaint. Dengan Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGIS, maka pihak outlet McDonald's cabang Watu Gong, Malang telah menerapkan konsep dari Analytical Customer Relationship Management (CRM), yang berarti mendapatkan, mengekstrak, memproses, dan melaporkan data yang terkait dengan pelanggan yang nantinya menjadi acuan dalam pengambilan sebuah keputusan.
Sistem Pakar Pendeteksi Hama dan Penyakit Tanaman Mangga Menggunakan Metode Iterative Dichotomiser Tree (ID3) Dedy Surya Pradana; Suprapto Suprapto; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Early detection can minimize the risk of crop failure and can be the determinant of the strategic control efforts.The detection that existed so far is still done manually, and knowledge of disease and pest of mango plant still lacking . The number of plant disease pests of mango is also quite a lot and make enough trouble for farmer detect that attacks.The utilization of the expert system detection process becomes easier and faster. Farmer can detect pest and plant disease early and independently as well. On the research of this kind of disease pest that can be detected as many as nine pests diseases using methods of Iterative dichotomezer 3 (ID3) with input from users of symptoms. The method is used to analyze the data of pest and plant disease of mango crops where as the result of system accuracy test between the detection and the result of Iterative dichotomezer 3 (ID3) method calculation has the accuracy level of 84%.
Analisis Perbandingan Algoritma Floyd-Warshall dan Dijkstra untuk Menentukan Jalur Terpendek Pada Jaringan Openflow Ibrahim Attamimi; Widhi Yahya; Mochammad Hannats Hanafi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software Defined Network (SDN) is network modeling that separates between control plane and data plane using Openflow protocol communication standard to connect both of them. SDN began to developed in recent years and has been widely implemented, one of them is network routing. There are two routing algorithms in this research which are Dijkstra and Floyd-Warshall. Both of these algorithms will be implemented using Mininet emulator and Ryu controller. Tests that performed in this research include parameters such convergence time, throughput, link failure, and resource usage. The result of convergence time test from this research showed Dijkstra's is superior to average of about 9,08-16,03milliseconds compared with the Floyd-Warshall with average of about 14,51-38,63milliseconds. Based on the results of throughput testing, both algorithms do not have significant differences. The Floyd-Warshall had an average throughput of 12.7-29.54Gbps while Dijkstra's had an average of about 12.89-29.22Gbps. For the test results from the Link failure, Floyd-Warshall is superior because it had a faster recovery time with average about 30.34-38.51seconds compared to Dijkstra's with average of 37.65-44.92seconds. Usage resource test showed that memory usage measurements for both algorithms share same memory, but CPU usage measurements showed the Floyd-Warshall consumes more CPU power compared to Dijkstra's.
Verifikasi Citra Tanda Tangan Berdasarkan Ciri Pyramid Histogram of Oriented Gradient (PHOG) Menggunakan Metode Klasifikasi K-Nearest Neighbor Latifa Nabila Harfiya; Agus Wahyu Widodo; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Signature have been widely accepted by people as one of many tools that used to verify a person's identity. Signature verification is highly needed in order to avoid crimes regarding signature's validity. The process of signature image verification uses feature extraction based on Pyramid Histogram of Oriented Gradient (PHOG) for extracting feature from global to local image area that used for the next process, classification using K-Nearest Neighbor method. There are some parameters that can affect the feature extraction of PHOG and K-NN as classification method such as number of bin, level, range of angles, and K. As for the additional parameters, namely the amount of training data that affect the overall results of the classification used. Feature extraction and classification by the method with the best parameter values and training data used produces the highest accuracy of 99.5% on Indonesian original signature data and 98.5% on the data of the Persian original signatures. While the forgery signatures data produces accuray only as much as 56% on data from Indonesia and 35,5% on data from Persian. Results from tests show that the algorithm is not good enough for distinguishing forgery signature that has high similarity with genuine signature even it is works well for recognizing genuine signature.

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