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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
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 146 Documents
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Search results for , issue "Vol 2 No 9 (2018): September 2018" : 146 Documents clear
Evaluasi Terhadap Penerimaan Pengguna Sistem Enterprises Resource Planning PT. Perkebunan Nusantara XI (Persero) Dengan Model Adapted UTAUT Putri Wulandari; Niken Hendrakusma Wardani; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

This study aims to determine the factors that affect the acceptance of users of the Enterprises Resource Planning system at PT. Perkebunan Nusantara XI (Persero) using UTAUT Adapted model. The population of this study are employees of PT. Perkebunan Nusantara XI (Persero) which have the right of access to the system starting from procurement, production, distribution, sales, to human resources. The number of samples used in this study is 80 respondents. Research begins by evaluating the variables of the UTAUT model that are predicted to determine the factors of Enterprises Resource Planning system user acceptance, including Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Anxiety, Attitude, and Behavioral Intention. The measuremence model using PLS-SEM. The result shows is suitability of the model adopted in determining the acceptance factors of the Enterprises Resource Planning system user PT. Perkebunan Nusantara XI (Persero). The model can explain the effect of variance on Behavioral Intention of 70.9% and shows a significant relationship between each hypothesis. The adoption of this research model refers to the user research acceptance of the mandatory ERP system and focuses on the influence of direct relations of exogenous variables with attitude and intention factors behaving in ERP system user acceptance.
Pengembangan Aplikasi Kontrol Kendali Kemudi Kursi Roda Berbasis Pergerakan Kepala HEMOCS (Head Movement Control System) Muhammad Ridho Kurniawan Pratama; Herman Tolle; Mahardeka Tri Ananta
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Head Movement Control System (HEMOCS) is a control method which utilizing head movement, especially for mobile device interaction. Wheelchair Control Application Based On HEMOCS developed so the wheelchair movement can be controlled independently by someone who can't use their hands with help from Bluetooth Low Energy connectivity as data communication media between application and wheelchair. Head movement such as up, down, left, right, tilt left, and tilt right head movement can be recognized appropriately. Wheelchair movement will be controlled using those head movements. Head movement that has been conducted during accuracy testing with duration 0,4 until 0,6 seconds, with average angle 22,63 degrees, and with duration 0,7 until 0,9 seconds, with average angle 27,21 degrees can be recognized accurately with 100% procentage.
Identifikasi Gangguan Kepribadian Dramatis Menggunakan Metode Learning Vector Quantization (LVQ) M Kevin Pahlevi; Budi Darma Setiawan; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Personality disorder is one of the health problems experienced and felt by the community. Group B or so-called dramatic is more common due to increased suicide rates, high social media access, still happening brawl and bullying all over, then many phenomena about people who want to steal attention with a physical look or style of language that is not commonly, this can increase the risk of people affected personality disorders, especially the dramatic group. This study try to identify dramatic personality disorders. This dramatic personality disorder is divided into 4 classes. The method used is Learning Vector Quantization. Data obtained from questionnaires using 32 parameters and managed to get data as much as 90 data. This research conducts 4 test scenarios that result in a learning rate of 0.2, a multiplier learning rate of 0.4, a minimum learning rate of 0.001, and a training data of 60. The result of accuracy is 70%.
Implementasi Algoritme Naive Bayes Menggunakan Arduino Uno untuk Otomatisasi Lampu Ruangan Berdasarkan Kebiasaan dari Penghuni Rumah Septian Mukti Pratama; Wijaya Kurniawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Lamps are the equipment that must be owned in every home because the lights has an important role in everyday life. The lamp are very helpful to the home owner to do the activities in the house by lighting up the entire room inside the house, especially as the sun began to sink. This study aims to help residents at home in controlling the lights by doing automation of lights that can learn the behavior of the residents in turning on and turning off the lights. This study uses Naive Bayes algorithm to classify the time turn on or off light based on the user's habits in turning on and off the lights. The result of the classification process will result in the time of automation the lamp. The Naive Bayes method was chosen as one of the techniques for classification, because this method requires only a small amount of training data to estimate the parameters required for classification. In addition, in this study using Arduino Uno microcontroller to apply the process of automation of lamps and RTC to adjust in Real Time. From the results of several tests performed known the percentage of accuracy on the system using Naive Bayes method with the amount of data train as much as 40 data and test data of 13 data, obtained accuracy of 84.61% for the first person and 92.30% in the second. Average processing time for 0.25 seconds from 13 test.
Implementasi Low Power Mode Pada Perangkat Sistem Pendeteksi Dini Kebocoran Gas Menggunakan Atmega328p Eko Hilmi Firmansyah; Dahnial Syauqy; Sabrian Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

LPG (Liquefied Petroleum Gas) is an economic necessity that needed a day by day in the household. Precautions against the use of LPG can not be underestimated. Because the LPG may leak so that high-risk fire against the onset of gas equipment. By using a system of early detection of gas leakage, the anticipation towards high risk can be prevented much faster and easier to use. In order to make the device the system running efficiently, then the device in its application performance using low power to save power consumption. Saving is done so that the device can work in a relatively long period of time using the battery's energy source. Utilize low power performance at mikrokontroller ATmega328p expected give implementation needs the device on power consumption more efficient. The features are used i.e. sleep mode power down to turn off multiple sub systems on early detection system device gas leaks. Testing resulted in the conclusion that the system is running in accordance with the principles of its work. On testing reading sensor MQ-6 can take the data of gas is detected on the sensor. On testing the sensor reading FC-4 can read the value of digital data. On the power consumption of the device is able to suppress the flow of 23.54 from 157.02 mA with the application of the sleep mode power down.
Sistem Kendali Navigasi Ar Drone Menggunakan Leap Motion Andyan Bina Ardhana; Gembong Edhi Setyawan; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The technology is highly developed from various aspects without the crew one quadcopter. the majority still use a quadcopter applications Android-based. simple movements control can make to control the quadcopter. Emergence of innovation of Natural User Interfaces (NUI), language human-like voice, movement, or view to communicate with quadcopter technology. In the system research created a control harness innovation from NUI quadcopter from users. The user's hand be detected using leap motion. Leap motion is a device where optical and infrared sensors to detect a hand gesture. Leap motion and quadcopter programmed either using javascript. and speed, the resulting percentage accuracy of movement of 100%.the generated quadcopter to movement of the pitch, roll, yaw, gaz that is directly proportional to the value obtained from the user's movement, this indicates when the input from the user, then the greater the quadcopter will grow quickly and so vice versa. the system delay is the user moves the hand in accordance with quadcopter user instruction generates a delay of 0,26 seconds.
Implementasi Algoritme Extreme Learning Machine (ELM) untuk Prediksi Beban Pemanasan dan Pendinginan Bangunan Alif Fachrony; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Energy conservation is a very important thing as the growth of the times and technology. Making energy-efficient buildings needs to be done by optimizing the use of tools for cooling and heating the building without affecting the health and comfort of the user of the building. Energy-efficient buildings can be achieved by calculate heating (HL) and cooling (CL) loads. HL and CL are the heat flow rates to be taken or added from the building to maintain relative air temperature and humidity of the building under desired conditions. The prediction of HL and CL will be used in calculating the power loads of heater or air conditioner. Currently HL and CL calculations still have constraints such as very complex calculations, time consuming because many disciplines are involved and it use very varied parameters. It needs learning machine to predict HL and CL easily, and quickly. The author uses the algorithm Extreme Machine Learning (ELM) to predict HL and CL. In the test analysis using ELM algorithm performed using binary sigmoid activation function, 3 input, 1 hidden neurons, 2 output targets and 130 dataset, the best Mean Absolute Error Percentage (MAPE) is 24.73% and it takes 0.0176 seconds to complete the process.
Pembangunan Arsitektur WebGIS Untuk Pemetaan Daerah Yang Terdampak Erupsi Gunung Merapi (Studi Kasus: Kabupaten Sleman) Ahmad Arif Saputra; Fatwa Ramdani; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sleman District is one of the largest areas affected by the eruption of Merapi Mountain. According to interviews with Badan Penanggulangan Bencana Daerah (BPBD) of Sleman Regency, Merapi Mountain is predicted to erupt anytime in the near future. Some conditions that support it among others the activity of lava is still high, the lava is increasingly reaching the surface, the lava pipe used as a lava exit and hot steam has been enclosed by hardened lava. Currently, BPBD does not yet have any data related to areas affected by eruption in each year in the form of maps. This data can be used as data for disaster mitigation and predict the large of areas that may be affected in the event of another eruption. To obtain the data, supervised classification technique will be used by using Semi Automatic Classification Plug-In (SCP) from Quantum GIS application. This technique is used for mapping erupted areas in Sleman District by defining polygon training data. Then the results of the mapping will be displayed by using Web-based Geographic Information System (WebGIS), so it can provide the mapped results properly and clearly for users. WebGIS architecture is divided into 3 layers, i.e. Client Layer, Service Layer, and Support Layer. Based on the mapped results, it was found that the eruption of 2010 was an eruption that had the greatest impact with the area of 3.309,55 ha and the percentage of 47.6%. While the accuracy test results obtained the accuracy is 92% and the precision is 86.2%, which means that the mapping results have high accuracy and precision.
Pembangunan Mobile GIS Analisis Tutupan Lahan pada Kabupaten Trenggalek Ramadhan Abdurrahman Mukhtar; Fatwa Ramdani; Satrio Agung Wicaksono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Land use and land cover is important in understanding the human activities with the environment. Trenggalek regency agricultural potential is a potential that support the economy. Development in the trade industry sector is also increasing the lead to endangerment of the availability of agricultural land if it is not managed properly. Endangerment of food resistance, loss of livelihood of farmers and the loss of agricultural infrastructure is an example of the impact of conversion of agricultural land into non-agricultural. The need for geographic information and updates are very important in land management and field operations. In this study constructed a mobile GIS application for the analysis land cover and land use in Trenggalek regency. This application is built using hybrid technology with HTML5, CSS and javascript. In this research will help to provide information about land use and land area of ​​the period 2014, 2015 and 2016 and also information of farmland protected area regulations or Lahan Pertanian Pangan Berkelanjutan (LP2B). This study uses a semi-automatic classification plugin (SCP) is a Quantum GIS plug-in to process and classify satellite image data. Satellite imagery used include sentinel-2 2016, Landsat-8 in 2015 and 2014. Spatial data that are already classified will be exported and displayed on mobile devices android and ready to used as a reference in the field operations. With the information directly from mobile device expected governmental Trengggalek easier to manage land for future development and Trenggalek people also more selective in choosing and using the land.
Implementasi Penentuan Bobot Link Menggunakan Logika Fuzzy Untuk Pencarian Jalur Terpendek Pada Software Defined Networking Doni Hadiyansyah; Widhi Yahya; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software-Defined Networking (SDN) is a dynamic architecture, manageable, cost-efficient, and easy to adapt. One example of a program that can be implemented on SDN is routing. One of the routing algorithm is Dijkstra's algorithm. A routing protocol using Dijkstra's algorithm is an Open Shortest Path First (OSPF). In OSPF, the cost of each link will be configured by network administrator. The administrator can choose to set all costs to 1 (Static Cost Dijkstra). The link with the the smallest hop count will be chosen without considering the presence of network traffic and delay. By using the paradigm of SDN, artificial intelligence can be implemented on a network. For that the authors have implemented a system of determining the weight of links using fuzzy logic for routing with the parameters used are traffic and delay. The results of the simulation of the system is that the system has been able to determine the cost of links for routing based on traffic and delay. Based on the results of testing the throughput, these systems have greater throughput significantly superior compared to the Static Cost Dijkstra algorithm. Then based on testing packet loss, the packet loss of this system has ranged between 0-5%, compared with Static Cost Dijkstra algorithm that has increased packet loss significant when the number of clients more than 39. But on this system have the convergence time worse then the Static Cost Dijkstra algorithm.

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