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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 150 Documents
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Search results for , issue "Vol 3 No 1 (2019): Januari 2019" : 150 Documents clear
Monitoring Daya Menggunakan Algoritma Shortest Job First Pada Wireless Sensor Network Tadya Adi Prana; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless sensor network (wireless sensor networks) is a wireless network that consists of a collection of sensor nodes spread over a certain area (sensor field). Each sensor node has the capability to collect data and communicate with other sensor node. From a number of problems in its implementation, the main issue is that of the WSN energy consumption. It is in result by the power supply on the node only supplied by a battery to its operations, thus having a limited energy reserves. Solution problem the authors implement Algorithms SJF (Shortest Job First) where the Algorithm placed on nodes that have the shortest path, the function of the RF315/433Mhz where the module will help data delivery Wireless. For the monitoring mechanism of the power available on each node mikrokontroller ATmega32, sensors, Sensor Voltage ACS712, DHT11 Sensor, as well as provided with the RTC module as the data source time function as a time stamp over the system. Implementation of high accuracy Algorithm SJF has in testing data transmission is done at 5 times the delivery with a certain distance, in a closed space optimal distance results obtained its data delivery is +100 cm with an average time transmission of 1s, and at a distance of +120 cm or more could still be done sending data but the data delivery success percentage is only 80%.
Implementasi Algoritme Extreme Learning Machine (ELM) Untuk Klasifikasi Penanganan Human Papilloma Virus (HPV) Stefanus Bayu Waskito; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Human Papilloma is a virus that cause warts ilness. There are several treatment methods, but Immunotherapy and Cryotherapy are considered to be the best method to treat this ilness. However, none of them can heal all patients. Therefore, research to determine which method more appropriate for a certain patient is required. This research use Extreme Learning Machine Algorithm to help classify which method are better for certain patient. A tests is conducted to determine the effects of activation function, number of hidden neuron and and data ratio toward classification accuracy. It was observed that using Binary Sigmoid activation function, 80 testing data to 20 training data ratio, and 10 hidden neuron, the classification accuraccy reach 70,8%. And the classification time spent were relatively fast that is only 0.043 seconds.
Pengembangan Low Power System Monitoring Karbon Monoksida (CO) Menggunakan Metode State Machine Raka Bagas Perdana; Dahnial Syauqy; Agi Putra Kharisma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is a developing country that citizens rely heavily by the presence of a motor vehicle. Recently many cases which killed unexpectedly in a car with parked car burning conditions, however. The use of vehicles (cars) and according to news of the gas poisoning caused by carbon monoxide (CO). The existence of this monitoring tool is expected to reduce the risk of death is often the case. To be able to differentiate the car are road conditions and stopped at the gyro sensor use in put on the handbrake of automobiles. To find out the pollutants on the vehicle using Sensor MQ-07. In making the monitoring system will be made some state such as sleep or wake state and should be able to switch state with input from users so that applied the state machine for the low power mechanism in carbon monoxide monitoring system. Due to this system will work in quite a long period of time, then the unambiguous method of low power to reduce the burden of resource use power bank. Performance low power is required so that the system can last longer because of the relatively low power used when the system is not in use. Features of low power itself one is Sleep mode power down deadly ATmega328P some functionality. Current testing being performed generates, that the current used on the system running normally is 181.02 mA whereas when the system is in a State of Sleep only has a current of 138.2 mA. So the system is successfully reducing the current use of 42 mA.
Optimasi Komposisi Pakan Burung Lovebird Menggunakan Algoritme Particle Swarm Optimization (PSO) Mauldy Putra Pratama; Imam Cholissodin; Muhammad Halim Natsir
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Lovebird is a type of bird that many people have as a pet or for a competition. This bird needs adequate nutrients for survival. In reality, there are many of them that over or low nutrients. This study will discuss about how to optimized the composition feeds of lovebird and minimize the costs without reducing the nutrition. Particle Swarm Optimization (PSO) is one of the optimization methods that used for the formulation process and the composition to keep fulfilling the nutrient needs with minimal cost. The PSO algorithm process starts with the initialization process for position, velocity, pBest values as much as the particles and gBest. Then proceed to update the velocity, position, pBest and gBest as much as the iteration that has been determined. Based on the results of the test that have been done in this study, the writer obtains the optimal parameters such as the number of particles as much as 60, the number of iterations is 600 and the value of coefficient k is 0.3. By using these parameters, the price difference is Rp 5,540.00.
Implementasi Complementary Filter Pada Perancangan Alat Bantu Makan Penderita Parkinson Indra Dwi Cahyo; Wijaya Kurniawan; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Parkinson are diseases which found at the early age of 30 yerars.with unsynergyness of motoric nerve parkinson's holding spoonmake eating become difficult.This research design eating tool with stability using complementary filter. This research use MPU6050 sensor, stepper motor 28BYJ-485V and Arduino Nano. The data of shaking of the hands can be captured with MPU6050. Stepper motor used for stabilize spoon because of the parkinson's tremor. Arduino nano serves as data processing for whole program and complementary filter equation to reduce noise from MPU6050 sensor. This research found that complementary filter can reduce angle error of stepper motor because of MPU6050 reading up to 4.34 degree for pitch and 3.07 degree for roll. Not only that this research found that complementary filter usage in this system can make MPU6050 reading for stepper motor movement become more stable and the movement of pitch and roll become moresynergystic.
Perancangan Perbaikan Bisnis Proses Dan Perancangan Perangkat Lunak Sistem Pengolahan Koran Pada PT. Madura Mandiri Indonesia Sejahtera Menggunakan The Open Group Architecture Framework (ADM) Moch. Rosul Zein; Yusi Tyroni Mursityo; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Madura Mandiri Indonesia Sejahtera is a print media company called Kabar Madura. From the business processes, there are several potential problems that interfere the processing of newspapers, which is the number of bureaucracy that causes delays in the distribution of goods. So far the company doesn't have an integrated system in processing all business activities, recording and processing company information flow that is prone to errors because it is still done manually, the flow of information is related to data processing news, ad registration, ad extension, design & layouting, and also data related to the processes that exist in the company. Based on these problems, it is necessary to design enterprise architecture to conduct analysis, evaluation and information systems. This study uses the TOGAF Architectur Development Method (ADM), Business Process Modeling Notation (BPMN) is used to identify needs, Business Process Improvement (BPI) to determine the improvement, in the design and implementation using the OOP technique approach and software functionality testing using the blackbox method. From the results of simulations carried out by the business process (As Is) and business processes (To Be) on advertising registration, an increase in Time Analysis reached 47.1%. The results of functionality testing that has been done indicate that this system has met the needs in accordance with the specified specifications. By doing black box testing it has 17 test cases, and the test results are stated to be 100% successful.
Pengembangan Aplikasi Web Rekam Medis Studi Kasus RSIA. Prof. Dr. H. M. Farid Makassar Nur Afdaliyah Anwar; Bayu Priyambadha; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The hospital is a place of care, service, and recovery of illnesses as well as places of care, can also be a means of education and research. Maternal and Child Hospital (RSIA) when viewed from the hospital classification, is classified as a Type C hospital, where Type C hospitals only provide limited subspecialty medical services, in this case child health services and obstetrics and gynecological services. At RSIA. Prof. dr. H. M. Farid Makassar, in this case including patient registration and recording medical record data still using media worksheets. In addition, the report-making process is still carried out manually so as to make the processing of patient data less than optimal. To deal with these problems, a web-based medical record application with added features is built and search for medical record data to facilitate data processing at RSIA. Prof. dr. H. M. Farid and features to make periodic reports. This study uses the waterfall method and also a prototype in building medical record application software. Based on the tests carried out namely unit testing that produces valid values ​​for all test lines and validation tests that produce 100% valid values ​​in all test cases. While the compatibility testing tested using the SortSite tool shows that the system can run well in 9 of the 9 browser versions tested.
Pengelompokan Fungsi Aktif Senyawa Data SMILES (Simplified Molecular Input Line Entry System) Menggunakan Metode K-Means Dengan Inisialisasi Pusat Klaster Menggunakan Metode Heuristic O(N LogN) Sherly Witanto; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Active compounds have function as a medicine that can prevent or cure diseases. Some of the active compounds have been known the function and some are still in the research stage. Currently in Indonesia there is still no program that capable to classifying chemical compounds as drugs for certain diseases. SMILES notation is the conversion of chemical compounds in the form of line notation. Notation SMILES able to provide convenience to the process of computerization on the classification of chemical compounds. The classification of the SMILES notation is carried out by taking the values ​​of the B, S, N, O, I, F, C, P, Cl, Br and OH atoms present in the compound. Before being processed, to get the value of the feature is done by dividing the process of each atom with the length of the compound. K-Means algorithm is the most widely used clustering method because it is easy and simple. The grouping of active function using K-Means method has weakness in random cluster initialization process, so that heuristic method o (n logn) is used to get the cluster initials with better value. Based on the software that has been made, the test is done using 512 of training data and test data as much as 128. Accuracy obtained from the test that is equal to 63% and testing using ¬K-Fold Cross Validation with 10 times the test produces an average accuracy of 52,58 %. Testing using K-Means with heuristic o (n logn) yielded better accuracy compared to conventional K-Means.
Implementasi Sistem Monitoring Daya Listrik Berbasis Web dan Protokol Komunikasi Websocket Zakky Ramadhan; Sabriansyah Rizqika Akbar; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Electricity usage and its price are always increased every year which encourages people to control their electricity usage. We can control electricity usage by doing electricity usage monitoring. In this study, we developed an electric power monitoring system which installed on the power strip using current transformer sensor YHDC SCT-013-000 and NodeMCU microcontroller. So, electric power usage of electronic devices that plugged into the power strip will be monitored. For data transmission, we used Websocket protocol for communicating all monitoring devices to the server. All monitoring data is saved to database server and electricity monitoring output will be showed using web interface. We hope users can monitor their electricity usage easier and more accurate. Based on the test, we get up to 97,14% accuracy result for electric current, up to 99% for electric voltage, and up to 98% accuracy result for electric power calculation. We also get a good performance with an average of 160,8 milliseconds for data monitoring acquisition. For the monitoring web, we built a web which has features such as showing electric power usage and estimated power cost on each monitoring devices.
Optimasi Travelling Salesman Problem Pada Angkutan Sekolah Menggunakan Algoritme Genetika (Studi Kasus : Sekolah MI Salafiyah Kasim Blitar) Ivarianti Sihaloho; Imam Cholisoddin; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Most aspects in all sectors are now fundamentally dependent on the information technology. One of the aspect is about the quality of school services for students, like school bus service. School bus service is one of the efficient school service to support safety for children while their parents are busy to pick up them at school. This is one of the reason from the imporovement of MI Salafiyah Kasim school Bus service for children by optimizing the school bus routes. The Optimization system is built on with Traveling Salesman Problem (TSP) and genetic algorithm methods. MI Salafiyah Kasim school bus service has morning and afternoon arrival and departure of students. The actual road data used in this research consist of the sample within 3 days. This data will be compared to find out and show what method needs less time in comparison with known methods and so efficient for such problem. Based on the data research, the optimization results in the morning departure is about 5.5 km (accuracy = 19.78%) and in the afternoon arrival is about 17.17 km (accuracy = 36.30%). It can be concluded that this system is running well by producing a good optimal value.

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