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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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Evaluasi Pengalaman Pengguna Pada Aplikasi Mobile Messenger Menggunakan Metode UX Curve (Studi Kasus pada Aplikasi LINE dan WhatsApp) Novia Fanny Salsabila; Hanifah Muslimah Az-Zahra; 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

Mobile Messanger is a application to send a message which makes it easy for users to communicate with each other. Two of the applications that has a many users around the world is LINE and WhatsApp. This study aims to compare two mobile messanger applications for evaluating long-term user experience. Data collected was produce 200 curves, 100 curves for each application, from the 100 curves the divided into 5 points of view; general UX, attractiveness, ease of use, utility, and degree of usage which 20 curves for each point of view. The curves then combined into a graph and categorized based trends of curve; improving, deteriorating and stable. For LINE application, they has a total 27 improving curves, 7 deteriorating curves, and 67 stable curves. And for WhatsApp application, they has a total 8 improving curves, 18 deteriorating curves and 74 stable curves. Other than that, the reasons of change counted for measure what are the changes of the curve they draw. The reasons consists of positive and negative, then categorized into pragmatic and hedonic perceptions. The relation with user satisfaction and recommendation seen by connecting the attractiveness curve and results of final questionnaire. User satisfaction can be seen with how the users recommended the applications to their friends. 3 of 20 respondents choose LINE application for recommended to their friends, the rest answers that depends on their need.
Pengembangan Aplikasi Rekomendasi Kuliner di Kota Malang berbasis Mood pada Platform Android Asti Dhiya Anzaria; Herman Tolle; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The habit of people eating outside the home makes the culinary business develop rapidly. Various eating places are spreading everywhere with a variety of unique and modern menus. In Malang, various types of food stalls such as crushed-chicken and coffee shops are scattered around the campus. This makes people confused looking for places to eat because there are so many dining options. Emotional conditions are known to affect food choices. Positive moods and negative moods lead one to different food preferences. Based on the existing problem, a solution is provided, a mood-based culinary recommendation system in Android platform using a certainty factor algorithm to process suitable recommendation data. User can take selfie to recognize their emotion which will be processed into suitable culinary recommendation. Based on the result of validation testing using the black box testing method gave a grade of 100% where all functions run as expected. The usability test result was 83 and the rating was excellent and the accuracy test result was 79.4%.
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% .
Implementasi Akuisisi Data Biosignal Manusia dengan Mekanisme Store-Forward Pada Perangkat Smartwatch Berbasis Wear Os Menggunakan Protokol Komunikasi Bluetooth Low Energy Apriyanto J.P.L Tobing; Adhitya Bhawiyuga; Dany Primanita Kartikasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The most important thing from IoT Smart Healthcare in measuring a patient's health condition is the ability to acquire the patient's biosignal data. Wearable smartwatch devices can be used to acquire biosignal data in the form of heartbeats and data in the form of the number of footsteps to acceleration. However, data acquisition cannot be done for a long time due to the computational and resource limitations of the device. A strategy is needed in acquiring data so that data acquisition is still be done optimally. The proposed strategy for resolving these problems consists of applying the indirect model and the store-forward method. In the indirect model, a gateway is developed on a smartphone device and uses the BLE and MQTT communication protocols. The store-forward method is applied to smartwatch devices so that data acquisition continues even though it cannot connect directly to the gateway device. This research successfully implemented the proposed system. The test results provide a ratio of the success of sending data from sensor nodes to the cloud of 0.998. This success value is influenced by the MQTT protocol, because the success value of sending data using the BLE communication model of 1 for each test scenario. Projected increase in memory every 15 minutes when acquiring data using the store-forward method of 100 KB and data entry of 2,340. There are differences in the delay in each communication protocol. In communication with BLE, the delay during the sending process varies but is stable with an average of 1.13 seconds.
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%.
Monitoring Kualitas Air Tambak dengan Fitur Plug and Play dengan Metode State Machine Iqbal Yuan Avisena; Wijaya Kurniawan; Mochammad Hannats Hanafi Ichsan
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

Based on good management of pond water quality, it can increase the productivity of the pond if carried out in accordance with appropriate standards. However, most people don't know how to start a good pond cultivation. This test aims to determine how effective the water quality testing is on the pond, with the Plug and Play feature and the State Machine method. In addition, it also aims as a technological development that has been done before. For this reason, the author has designed a pond water quality monitoring system using state machines that are connected to existing supporting sensor nodes through local wireless networks on the node server. The types of sensors used by the authors are pH sensors, temperature sensors, photo diode sensors and nodeMCU as microcontrollers that are used as well as node servers. The readings from these sensors will be sent to the node server via the Broadcat SSID that has been connected by each sensor node. In testing that has been done by the author, the results of sending data by the three sensor nodes used can be sent with an accuracy value of more than 90% of the total data transmission.
Implementasi Algoritme Acorn untuk Pengamanan Data pada WSN Nadya Puspitasari; Ari Kusyanti; Fariz Andri Bakhtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Wireless Sensor Network (WSN) has brought Internet of Things (IoT) into a new era because the sensor network that developed by WSN will be using various communication protocols. WSN also performs several communication models, one of WSN's communication models is a master-slave communication model which is a node-to-node communication model. LoRa is one of the technological development at WSN, which scope wide area and has low power consumption. The use of LoRa is very common nowadays, but LoRa's communication remains unsafe. Without security in LoRa, an intruder can obtain data by sniffing. Data protection is an important issue in the implementation of IoT so the data transferred by LoRa must be secured. An encryption algorithm such as Acorn algorithm can be used to secure data. Besides being able to transform data into new forms, the Acorn algorithm can also generate tags to check the authenticity of the data. The data communication on LoRa using the master-slave communication model can be secured by implementing the algorithm. This is proven by the results of research carried out through sniffing attacks and also active attacks called Known Plaintext Attacks (KPA). Sniffing attacks carried out after the implementation of the Acorn algorithm is only capable of producing encrypted data. As a result of attacks with known-plaintext attacks, attacks do not succeed in getting keys from related ciphertext and plaintext. It can be concluded from the test results by sniffing attacks and known-plaintext attacks that the implementation of the Acorn algorithm has succeeded in securing the data sent by LoRa.
Pembangunan Kakas Bantu Pembangkitan Kebutuhan Pengguna berdasarkan Model Proses Bisnis Muhammad Faiz Takwa; Denny Sagita Rusdianto; Eriq Muhammad Adams Jonemaro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In terms of software requirements analysis, business process modeling has proven to be reliable and effective so that it has been widely used in requirements engineering practices. In other cases, although business process modeling has proven to be reliable in requirements analysis, the reality of a requirements documents or a requirements sentences are presented in the form of natural language. That condition raises new problems for the conversion of business process model into a requirements sentence, it takes a lot of the stages of requirements engineering and the complexity are high, takes more time to understand about the business process model, and raises the problem of inconsistency between the model of the process of business with the requirements sentences from its conversion. As a solution to minimize the incidence of these occur, the research is developed case tool for generating requirements sentences text based on business process model using template filling approach method. This method is used to fill in the requirement sentences templates with information were obtained from business process model. The development of this case tool in this research was implemented using website technology. It accepted input in the form a business process model BPMN type. The output that is obtained is a list of the user requirements with its consistency can be validated based on business process model. Strategy of the unit, integration, validation testing was done to test the case tool which resulting a 100% valid for the test cases and then accuracy testing that prove user requirement consistent with the BPMN and can be used for requirement identification process.
Evaluasi Pengelolaan Strategi dan Pengelolaan Hubungan Dalam Implementasi Teknologi Informasi Menggunakan COBIT 5 Pada Badan Perencanaan Pembangunan, Penelitian, dan Pengembangan Daerah Kota Batu Teguh Pribadi; Widhy Hayuhardika Nugraha Putra; 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

As the organizer of government activities, Batu City Government has full responsibility in carrying out activities related to government activities in Batu City. Batu City Government needs a vision, mission and program to form a good and orderly Batu City. However, the implementation of information technology in carrying out the existing programs in the Batu City RPJMD requires an evaluation. Evaluation is needed along with the development of the technology used. In integrating the existing vision and mission with information technology, Batu City needs an evaluation to achieve its objectives. This evaluation uses the COBIT version 5 framework and uses the Align, Plan, and Organize (APO) domain that focuses on the APO08 process, namely Manage Relationship and APO02 processes, namely Manage Strategy. Based on observations of data collection on BAPPELITBANGDA Kota Batu, the APO02 Manage Strategy process has a Capability level at level 0 (zero) worth 42.79%. And in the APO08 process, the Relationship Management has a Capability level at level 0 (zero) worth 40.27%. With a gap to the Targeted level each process is 3 levels of the current Capability level. This evaluation also produced several recommendations to help BAPPELITBANGDA Batu City in achieving Capability Levels of the process assessed in this study according to the targeted level desired by this organization.
Rancang Bangun Sistem Pembeda Gerakan Berlari dan Berjalan Untuk Atlet Lari Menggunakan MPU6050 dan Metode Klasifikasi K-Nearest Neighbor Agastya Bramanta Sanjaya; Dahnial Syauqy; Gembong Edhi Setyawan
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

Athletics run is one of sport as archievment. In developing the ability of athletes needs training. Training in athletics running athletes requires at least 2 main components, coaches and athletes. Often the athlete does not do training properly and the trainer does not pay attention to it, this may lead training not getting maximum results. From the problem was create a system that can classify the movement of running, walking and stopping using MPU6050 sensor module with the input are sensor values from gyroscope and accelerometer with method k-nearest neighbor as classification algorithm. This system expected to can help the coaches to monitor the exercise of an athlete by not having to always observe the athlete during exercise and this system is expected can help too coaches conduct training with the number of athletes running more than 1 person in sametime. This system is based on the wearable device used on the athlete's body and sends sensor data to other devices on the trainer. The system has an accuracy rate of 96.7% in distinguishing running, running and silent movements as well as the required compute time of 0.922 seconds.

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