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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
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Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
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.
Arjuna Subject : -
Articles 6,923 Documents
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Pengaruh Penggunaan Celebrity Endorser dan Promotion di Media Sosial Instagram yang di Mediasi Minat Beli Terhadap Keputusan Pembelian (Studi pada Princess Fazion Malang) Septi Dwi Kurnia Sari; Yusi Tyroni Mursityo; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

This study were proposed to determine the effect of CeIebrity Endorser and Promotion which are mediated by buying interest as an intervening variable on purchasing decisions.Population that used in this study was the society of Malang who has made a purchase at Princess Fazion MaIang. Sampling technique is purposive sampling with a total sample of 82 people. And analysis technique is path analysis method. The results show that Celebrity Endorser has no direct effect on purchasing decisions, but Promotion has a positive and significant effect on purchasing decisions. Celebrity Endorser has a positive and significant effect on buying interest, Promotion has a positive and significant effect on buying interest, and buying interest has a positive and significant effect on purchasing decisions. From these results indicate that buying interest can mediate the effect of Celebrity Endorser and Promotion on purchasing decisions. The amount of CeIebrity Endorser's indirect effect on purchasing decisions mediated by buying interest is greater than the amount of Celebrity Endorser's direct effect on purchasing decisions. Meanwhile, the amount of Promotion's direct effect on purchasing decisions is greater than the amount of Promotion's effect on purchasing decisions mediated by buying interest.
Optimasi Penempatan Relay Node Pada Wireless Sensor Networks Menggunakan Algoritme Particle Swarm Optimization (PSO) Abdul Aziz Hadyansyah Widada; Kasyful Amron; Fariz Andri Bakhtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Precision agriculture is predicted to become the future of the agricultural industry. The application of information technology to enhanced production automation or land security requires that agricultural areas be filled with sensing devices. In fact, many sensors that have been deployed on land cannot send data optimally. The battery lifetime of wireless sensing devices causes network connectivity to be less and affects the final results of land monitoring. Relay node placement in wireless sensor networks field presents a power-limiting solution by dividing the role of data actuators and as hops that forward data towards internet gateway. However, the application of two-tier communication architecture using relay requires a high cost, so that the relay placement needs to be optimized. The research was conducted aimed at optimizing the placement of relays on agricultural land, by proposing optimization strategies that are adapted to conditions in the field. PSO (Particle Swarm Optimization) algorithm is used as a relay placement optimization heuristic method. The results of relay placement optimization show that a collection of relays that are optimized in number and position can produce maximum connectivity value compared to its placement deterministically. The complexity of the method will increase 19-35 percent as the number of relays is considered.
Evaluasi Layanan Penyampaian Keluhan Masyarakat Berbasis Teknologi Informasi pada Pemerintah Kabupaten Sidoarjo Menggunakan Framework COBIT 5 Fajri Ilhamdi; Widhy Hayuhardhika Nugraha Putra; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Sidoarjo Regency Government has implemented a website-based service for public complaint called Pusat Pelayanan Pengaduan Masyarakat (P3M). However, in the process of implementing there is a problem is the user requirements that are not right. So that the service is less attractive to the public as a user. In fact, people prefer to complain through the Sidoarjo Regency Government social media such as Facebook. Therefore, the evaluation was carried out using the Framework Object Control for Information and Related Technologies (COBIT) 5. The process used is Manage Requirements Definition (BAI02) and Manage Solutions Identification and Build (BAI03). This process is chosen because both have activities that support requirements governance. Retrieval of data in this study was carried out by questionnaires, interviews and document study. Respondents were selected using the RACI Chart calculation for each process. On the questionnaire sheet contains questions related to governance requirements on P3M services. Then the interview aims to ask for targeted levels of P3M services. After data processing, capability level in the BAI02 and BAI03 processes at level 0 (incomplete process). Then the targeted level of the two processes at level 2 (managed process), therefore there is a gap of 2 (two). Then the researcher compiled a recommendation document that would complement each activity in the BAI02 and BAI03 processes. Each recommendation will be explained clearly in order to achieve capability level 2 (managed process).
Ekstraksi Ciri Pada Telapak Tangan Dengan Metode Local Binary Pattern (LBP) Dwi Retnoningrum; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Feature extraction can be done on an objects in the form of images using several features. Feature extraction can be combined with the science of biometrics. Biometrics are unique dan measurable physical or biological characteristics. Biometric identification can be used to improve security dan avoid using fake identities. In this case, uses the palm of the object of research because palm has unique features that are different for each individual. In addition to unique features, the palm surface area is one of the authors' considerations in determining the object of research. The surface area of ​​the palm is greater than the surface area of ​​one finger. One method that can be utilized in the identification process is the LBP (Local Binary Pattern) feature extraction method that applies neighboring distances dan the number of neighbors compared. It starts with the Pre-processing stage or the preparation stage of the color image which will be transformed into a gray image dan then followed by a regioning process or image sharing process into several sub-regions. Followed by feature extraction stages with the LBP method. The highest accuracy results obtained from this study amounted to 92.31% with neighboring distance 2, number of neighbors compared = 8, number of regions = 16 dan number of shares height = 4 dan width = 4.
Sistem Pendukung Keputusan Penerimaan Pegawai Baru menggunakan Metode AHP dan TOPSIS Muhamad Fahrur Rozi; Edy Santoso; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Employees as individuals who provide expertise for companies and organizations that require worker services in an effort to achieve the needs of human resources as a plan and efforts to complete the needs of the workforce so that competent selection to get the quality and progress of the company. In this study aims to provide employee selection recommendations using the implementation of Analytic Hierarchy Proces (AHP) and Technique for Order Preference by Similarity (TOPSIS) methods which will consider the criteria used as employee selection at PT Jagaraga Adika, Surabaya by using four criteria as considerations for new recruitment selection, including initial selection, psychologist test, security training, and interview. The results of the implementation of the AHP-TOPSIS method on employee recommendations are in the form of ranking the best employees obtained from the assessment criteria used, where the data used amounted to 638 data from January to December. The system that has been built shows the best accuracy results reaching 100% in the February and June period, while the lowest results obtained by the system are 82.50% in March and with an average best accuracy reaches 91.23%.
Prediksi Harga Bitcoin Menggunakan Metode Extreme Learning Machine (ELM) dengan Optimasi Artificial Bee Colony (ABC) Arjun Nurdiansyah; Muhammad Tanzil Furqon; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bitcoin is the most popular cryptocurrency currently being favored as a means of investment like stocks. Its nature is not centralized or decentralized which causes the price of Bitcoin can experience inflation at any time. So we need a method to predict the price of Bitcoin accurately to make decisions in Bitcoin buying and selling transactions. The ELM method has better learning speed than other methods and a simple structure, but it has disadvantages in choosing input weights and biases randomly. To overcome these shortcomings, the ABC method is used because it also has a very simple and flexible structure. Therefore, the price of Bitcoin will be predicted using the ELM-ABC method. This research uses Bitcoin price time series data from the Indodax cryptocurrency exchange from 01 December 2017 to 31 August 2018. ABC functions to produce the most optimal input weights and biases for the ELM training stage. Furthermore, input weights, biases, and output weights will be used for ELM testing stages to obtain the prediction result prices. Then, error evaluation value calculated from the results of the Bitcoin price prediction using MAPE. The ELM-ABC parameter test results get the best combination of 12 features, 20 hidden neurons, 20 bee populations, and 5 iterations. The combination produces an average MAPE value of 1,96983% and an accuracy of 98,03017%, while ELM amounted to 2,70401% and 97,29599%.
Pengujian Interoperabilitas pada IoT Middleware dalam Mengatasi Permasalahan Interoperabilitas Ulul Albab Khatami; Eko Sakti Pramukantoro; Fariz Andri Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internet of Things (IoT) plays an important role in the development of the Internet today and in the future. Along with the large number and types of devices that are connected, a problem arises called interoperability. Interoperability problems in IoT can be divided into 3 categories which are network interoperability, semantic interoperability, and syntactical interoperability. Recent development of IoT middleware has lead to resolve of interoperability problems in steps. This research has conducted a test on IoT middleware. The test was done to answer the question of whether IoT middleware has the ability to resolve interoperability problems if a system is run together. The Interoperability test uses a model called interoperability assessment methodology. The model has 9 parameters which are commonly used based on the researcher's needs. The results of the interoperability show the level of success of sending data from each node sensor to the middleware. Results gained has shown that the Wi-Fi protocol has a 96,67% rate, the 6LoWPAN protocol having 96,11% rate, and the BLE protocol having a 100% rate. For the interoperability test conducted using the interoperability assessment methodology model, it can be concluded that IoT middleware can resolve network, semantic, and syntactical interoperability problems simultaneously. The performance test showed that CPU usage was in the 0%-23% range during 3 hours, which was how long the test was conducted. Currently, the memory utilized when the system was run simultaneously was 29 MB - 40 MB.
Implementasi Algoritme Genetika Dalam Penjadwalan Akademik Sekolah Menengah Atas Brawijaya Smart School Tobing Setyawan; Imam Cholissodin; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Scheduling is one of the most needed requirement for high school. Scheduling at brawijaya smart school senior high school(BSS SHS) had some problems like processing time, schedule size, Musyawarah Guru Mata Pelajaran(MGMP), and managing variety subjects. Scheduling took 3 days to be done. Problem space's size is 834 hours of subject. Teacher's schedule cannot crashed with MGMP. Variations of teachers and subjects cannot be the same within a day from those problems above researcher will use genetic algorithm to solve them. Genetic algorithm is an algorithm that can be used to get the solution that closed to optimum from the wide possibility solution area. In this research, researcher used partially-mapped crossover, reciprocal exchange mutation, and elitism selection. The result gets that the 233rd generation, 150 population size, 0,7 crossover ratio, and 0,3 mutation ratio are the most optimum solution parameter in BSS SHS scheduling case. This research has its disadvantage in early convergence that happened at 233rd generation so random injection is needed to be applied. Global and local search aren't effective because searching ratio is always the same. Population size was too big that difficults the searching for the best parent so parent selection needed to be applied.
Optimasi Penjadwalan Pegawai Balai Penelitian Tanaman Jeruk Dan Buah Subtropika (Balitjestro) Untuk Wisata Edukasi Petik Jeruk Menggunakan Algoritme Genetika Annisa Amalia Nur'aini; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Educational tourism is an activity where tourists can interact directly with certain tourist objects related to tourist attractions. Balitjestro is one of the technical implementing units under the Ministry of Agriculture which opens “Wisata Edukasi Petik Jeruk” every time the harvest arrives. This activity requires the allocation of resources as officers taken from all employees at Balitjestro. In one day, ideally this activity requires 106 officers while the total number of employees is only 75 (Sutopo, 2018). Because of limited human resources, it is necessary to do the optimal scheduling to allocate tourism officers. Manually scheduling takes a long time because it has to match the availability of free time for each employee. Apart from that, several roles are needed, including tour guides, guards, cashiers and grapefruit weighers. One method that can be used for optimization problems is a genetic algorithm. This method consists of several stages including initial population initialization, reproduction, evaluation and selection. The results of this study state that genetic algorithms are able to provide results of employee scheduling for duty during tourism activities with the highest accuracy value that can be achieved at 92.72%. While the overall system accuracy is 91.90%.
Mekanisme Pembobotan Server Menggunakan Algoritme Fuzzy Pada Sistem Load Balancing di Software Defined Network Hasbi Razzak; Widhi Yahya; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Load balancing is used to distribute workloads evenly to multiple servers. To achieve an optimal load balancing system must consider the workload received by the server based on the server's ability. As for what affects server performance includes resources such as CPU, memory and disk. If the workload received exceeds the server's capability, the server may be overloaded. To overcome this problem, we can utilize load balancing by implementing an algorithm that can take into account CPU, memory and disk variables. For this research, implementing a server weighting system uses a fuzzy algorithm on a load balancing system to distribute server workloads based on CPU, memory and disk variables. From the results and analysis for testing on this system, Fuzzy algorithms are able to distribute traffic based on the lowest server weights. Then a comparison with the Response time (RT) algorithm and the Least Connection (LC) algorithm with traffic distribution parameters, CPU and Memory Usage, Response Time and Throughput. When testing with a number of requests 360, Fuzzy algorithms charge more for distribution to servers the lowest server weight. Then in testing memory usage, the response time algorithm has the lowest memory usage on each server, server1 18.7%, server2 32.4% and server3 62.2%. Furthermore, testing with loads at the level of 360 RT algorithm has a high response time of 393 m/s. In testing throughput algorithm the response time has the largest throughput with a value of 93.6 KB.

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