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Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
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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 125 Documents
Search results for , issue "Vol 3 No 9 (2019): September 2019" : 125 Documents clear
Pengembangan Sistem Presensi berbasis Lokasi menggunakan Geofence WiFi dan REST API pada Fakultas Ilmu Komputer Universitas Brawijaya I Gede Tika Permana; Denny Sagita Rusdianto; Lutfi Fanani
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

Fingerprint scanner's presence infrastructure is a system that is widely applied as a presence today such as the Faculty of Computer Science (FILKOM). The presence system using a fingerprint scanner can help staff for recording attendance data, as well as calculating the performance of the employee. However, there are problems that arise from using the fingerprint scanners as a presence system, including the presence of attendance recapitulation which is still manualy calculate, asynchronous employee attendance with attendees result, transparency of the attendance data is unknown by the employee. The solution to this problem is to make each civitas have a tool that is used to make a presence, so that the presence can be done by the civitas themselves and attendance data can be directly obtained by staffing staff. From this solution a system was developed to use a smartphone as a media presence because this device is owned by each civitas, sensors owned by smartphone devices are also complete such as WIFI sensors, fingerprints and cameras. The author develops an Android mobile-based system as a presence by utilizing fingerprint sensor, camera and WIFI. WIFI is used as a virtual fence so that the community who wants to attend must be present in the FILKOM environment, the development of this system carries the REST API technology that is useful as a bridge between mobile presence data and computer staffing staff used as a recapitulation tool for community attendance. This presence system was developed with the software development life cycle, which is the waterfall method where needs have been defined at the beginning and there is no change until the design, implementation, and testing process of the system has been developed. Tests carried out include: unit testing on four methods with valid results, validation testing on 38 functional requirements with all valid results, integration testing by checking the interaction of two methods with valid results, and compatibility testing using three devices with valid results. From the test results obtained by the system developed has met the requirements that have been determined, for the appropriate system, valid results and running on Android devices version of Lollipop to Pie
Klasifikasi Varietas Unggul Padi menggunakan Algoritme C4.5 Arinda Rachman; Muhammad Tanzil Furqon; Fatwa Ramdani
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

Superior varieties are important supporting component in increasing national rice production. Each type of superior variety has different characteristics. Farmers need knowledge to be able to choose the type of rice they want while keeping rice production stable. To overcome the problem in determining rice seeds, one solution is to use data mining classification. The classification are using the decision tree method, with the C4.5 algorithm. C4.5 algorithm is an algorithm that builds decision trees from data with recursive patterns. C4.5 goes to each node of the decision tree, then selects the optimal branch until no more branches are generated. the algorithm can produce a classification of superior rice varieties needed to be planted in the fields. This research has input data in the form of flag leaves, grain shape, grain color, rice texture and texture. The input data is then processed by the C4.5 algorithm to produce outcomes that determine superior varieties of rice. The results of this study indicate that the classification performance of superior rice varieties is more influenced by the grain form attributes compared to other attributes. Meanwhile, the accuracy of the highest C4.5 algorithm in the k-fold 1 calculation was 28.571%. Meanwhile, k-fold 2 was 17.857%, k-fold 3 was 10.344% and k-fold 4 was 10.714%.
Pengembangan Middleware Web of Things sebagai Antarmuka Akses Batch dan Stream Perangkat Sensor berbasis Protokol Bluetooth Low Energy Satria Adhi Kharisma; Adhitya Bhawiyuga; Eko Sakti Pramukantoro
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

Healthcare is one of the interesting fields in the application of IoT. However, the devices used in the implementation of IoT-based healthcare are very heterogeneous, this is a challenge for application developers to overcome the different communication mechanisms in sensing devices. In addition, the IoT application requires batch and stream data processing. Based on these challenges and requirements, the authors develop middleware to overcome these challenges. Middleware consists of three components it is sensor-to-cloud gateway components, messaging services, and data access interfaces. After implementation we perform device management, sensor-to-cloud gateway, messaging service, batch interface and stream interface test. Device management testing shows that the gateway component is able to manage sensor devices using BLE. Sensor-to-cloud gateway testing shows the ability of the gateway to forward sensor device data to the cloud. The messaging service test shows the ability of middleware to store messages in a database and facilitate the access stream interface. In batch and stream testing it can be seen that middleware can provide data for client users in batch and stream.
Pengembangan Aplikasi Penentuan Prioritas Kebutuhan Perangkat Lunak Dengan Metode Value Oriented Prioritization (VOP) Hanida Aisha; Denny Sagita Rusdianto; Agi Putra Kharisma
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

The success of the software depends on the selection of needs that are prioritized properly. Priority needs are considered as one of the most important approaches in the process of needs engineering. needs prioritization is used to determine the bookings or the schedules to carry out the needs based on their priorities or interests with respect to the stakeholders' point of view. There are various techniques and methods that have been proposed by the researchers. In this study, the researcher applies the priority method proposed by Jim Azar, Randy K. Smith, and David Cordes to prioritized the software needs which only use a core business value. The Value-Oriented method Prioritization is a method that emphasizes the main business value in the process of determining the priority, using an ordinal scale according to how important the business in the company is. the risk of the business carried on by the company is also identified and given a positive value for weighting the business core, while a negative value for weighting the risk. This application has been tested for functional and non functional requirements, functional requirements using black-box testing, namely validation testing, and white box testing, namely unit testing and integration and non functional requirements using compatibility testing with the help of sortsite software with the result of not getting critical issues in many browsers and acuuracy testing, so it can be concluded that it gets a valid results.
Klasifikasi Golongan Kendaraan Berdasarkan Fitur Histogram of Oriented Gradients (HOG) Menggunakan metode K-Nearest Neighbors (K-NN) Berbasis Raspberry PI 3 Lilo Nofrizal Akbar; Fitri Utaminingrum
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

The queues that occur when making toll road payments are still a problem in Indonesia, one of which is the problem because there is no system that automatically classifies vehicles passing on the toll road, so that large vehicles such as trucks that are divided into 5 classes must be manually differentiated by toll gate officers. One effort to overcome these problems, in this study a system was designed to be able to automatically classify vehicles passing the toll road into 5 classes according to the class applicable to the Indonesian toll road, so the classification process that was previously done manually can be done automatically, this of course bring benefits to the payment transaction time for each vehicle that is getting shorter, which in turn can reduce the potential for congestion that occurs at the toll gate. This system works based on image processing, the classification process begins with vehicle video capture using a webcam, then the vehicle video is processed on Raspberry Pi 3 to extract image features from the vehicle using the Histogram of Oriented Gradients (HOG) method, then the features obtained are processed The classification uses the k-Nearest Neighbors (k-NN) method to determine the class of vehicle, then results of the classification are displayed on the LCD screen. From the tests conducted on the system using 25 test data, with each class as many as 5 test data, the results obtained for system accuracy in class 1 by 80%, class 2 by 80%, class 3 by 60%, class 4 by 60%, and class 5 by 60% .
Sistem Rekomendasi Siswa Berprestasi berdasarkan Nilai Akademik dan Non-Akademik SMA Brawijaya Smart School Vito Ramadhan; Ahmad Afif Supianto; Djoko Pramono
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

Brawijaya Smart School High School has various types of student achievement. However, among the various types of achievement, there were no achievement that used Academic and Non-Academic aspects as a main reference in the selection. Teachers find it difficult to use Academic and Non-Academic value data due to the nature of the two values. Based on existing problems, a system is needed that is able to process combined data of Academic and Non-Academic value to determine outstanding students based on these two aspects. K-Nearest Neighbor (KNN) is a data mining algorithm that can be used for the classification process of outstanding students. As for the sorting of the classification results with many attributes, Simple Additive Weighting (SAW) algorithm is used. The attribute used consists of the average grade of students from semester 1-5 and students plus poin. The validation test produce a score of 100% Valid. The output of this study is a system that can provide recommendations of outstanding students by implementing the website-based KNN and SAW algorithm. And the results of the User Acceptance Testing (UAT) has a value of 86%.
Sistem Pengenalan Pergerakan Lengan Menggunakan Exponential Moving Average Dengan Metode Decision Tree Berbasis EMG Aufa Nizar Faiz; Rizal Maulana; Fitri Utaminingrum
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

Humans can carry out their work in a healthy condition, so health is the most important thing in life. But many people are unable to do their jobs due to physical limitations, commonly called persons with disabilities. Biomedical engineering is medical science that uses medical science and design engineers to solve health problems. Electromyograhy (EMG), one of the biomedical sciences that can detect signals generated by contractions in muscles, using EMG can make the system of detecting signals of muscle contractions, especially in the arm muscles. This system will help detect arm muscle contractions for people with disabilities in the arms. Detection is performed on changes in the degree of the arm, the degrees detected are 0, 30, 60, 90, 120, 150, and 180 degrees. Signals received by EMG have noise that can interfere with detection, so signal refining is required in the form of an exponential moving average (EMA) method. Exponential moving average has a weighting value to make a reward, the value used is 0.1 and 0.3. After refining the signal, the detection of degree changes is performed using the decision tree classification method. Then the results of the classification will be displayed on the LED and LCD.
Sistem Informasi Penyuluhan Pertanian di Dinas Pertanian dan Ketahanan Pangan Kabupaten Padang Pariaman Surya Daren Hafizh; Fajar Pradana; Adam Hendra Brata
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

The Department of Agriculture and Food Security of the District of Padang Pariaman is an element of the government that focuses on implementing agricultural matters whose responsibilities encompasses increasing the quality of agriculture in Padang Pariaman. Hence, training activities were planned encompasses increasing the quality of agriculture. The training activities involve field counselor, the chairman of BPP, department staff and head of the department. Before the activity is carried out, a program draft must be formed containing the plan and the design of the activities for next year. For every activity, the field counselors have an obligation to submit the field report containing the results of the activity and the usage of available funds. The process of creating the program draft and report starting from planning and approval of the documents requiring a huge amount of time. To make the steps more efficient, a solution is proposed which is in the form of creating an information system for agricultural training events using an SDLC waterfall method. During the analysis and designing phase, a model is built to ease the communication between developers and developers in hopes of finding the best solution. The models built in the analysis and designing phase are the use case diagram, use case scenario, sequence diagram, and class diagram. The system that was built will then be tested using the whitebox testing and blackbox testing. The results from the testing showed was near 100% valid which described the system has worked well and can help improve agricultural training activities in the district.
Perancangan Jaringan VoIP Berbasis SIP pada Wireless Mesh Network (WMN) menggunakan Routing Protocol OLSR Muhammad Afian Musthofa; Primantara Hari Trisnawan; Rakhmadhany Primananda
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

Voice over Internet Protocol (VoIP) is a technology which allow a long distance communication and conversation through a computer network. However the quality of VoIP technology performance is very dependent on the computer network used as a conducting media to fasilitate long distance communication and conversation especially in a place which had a heavy terrain. Therefore to achive the best performance of VoIP, it requires a computer network technology to support its maximum performance. One of the computer network technology which becomes a mainstay and could be use for VoIP is a Wireless Mesh Network (WMN) which has various advantages over conventional computer network. On this research, a WMN is composed of 5 Laptops as main Nodes and some other are for user as a foundation to build the VoIP Network. A VoIP network built above WMN would be supported by Session Initiation Protocol (SIP) Server which is also be built on one of the Node with Linux platform. To discover the quality and performance of the VoIP network, a test sequence is required as well as the analysis to determine the Quality of Service (QoS) by using Delay, Packet Loss, and Jitter as parameter. The result of this research, which consider the outcome of the Delay, Packet Loss, and Jitter paramater showed a result which can be categorized as ‘satisfying' and suitable for implementation.
Optimasi Variasi Menu Makanan Sesuai Gizi Pada Anak Panti Asuhan Dengan Improved Particle Swarm Optimization Aldino Caturrahmanto; Lailil Muflikhah; Imam Cholissodin
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

Nutrition is a compound which important to human growth and their health. Nutrition consumption is really important that they can affect health if poorly managed. Unfortunately, there are still places which have poorly managed nutrition planning, which one of them is Orphanage. Improved Particle Swarm Optimization is an Evolutionary Algorithm which is based on nature folks of birds flying in group searching for new food points. This Algorithm have great ability to search local optimum solution and also global optimum solution. In this case, a list of foods menu will be represented by a Particles which consisting indexes of number represent menu. The result of our testing found that swarm size of 70 and combination of 2,0 for C1 and C2 is the best parameter for this problem. Although giving great solution based on Nutrition, this algorithm still offer total price above our limit value.

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