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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 125 Documents
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Search results for , issue "Vol 3 No 2 (2019): Februari 2019" : 125 Documents clear
Implementasi Gabungan Metode K-Means Learning Vector Quantization (LVQ) Untuk Klasifikasi Fungsi Senyawa Aktif Menggunakan Data SMILES Nur Khilmiyatul Ilmiyah; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The active compound is a chemical compound that has many functions. While the inactive compound, doesn't have much function only as additional substances. Active compounds can be divided into two therapeutic functions as alternative medicine, and Pharmacology function to control drug containing the active compounds in it. In order to get functions in the active compounds used notation SMILES. SMILES notation is a representation of the active compounds with modern chemical notation, so that the computer can read the elements of the compound. Of the many SMILES notations at this time, all the SMILES notations cannot be used as medicine because they are still in the testing phase. SMILES notation that has been tested could be used as medicine. Therefore, this research will be built a fixed classification model that takes into account all the data. Based on the test results, the K-Means method of combined Learning Vector Quantization (LVQ) generate value accuracy of 72.22%, K-means conventional 52.65%, while Learning Vector Quantization (LVQ) owns 67.96%. The results show that the combined K-Means method of Learning Vector Quantization (LVQ) have better results than conventional K-means and Learning Vector Quantization (LVQ).
Implementasi K-Nearest Neighbor untuk Klasifikasi Ekspresi Wajah Berdasarkan Data Muscle Sensor dan Berbasis Arduino Aprilo Paskalis Polii; Hurriyatul Fitriyah; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Human facial expressions are formed by face muscles. Therefore, as an interest to develop Human-computer interaction, the system of human facial expression classification based on face muscles' movement is made for those reasons. The output from facial muscles is obtained by the muscle sensor. The classification in this research has been done by using K-Nearest Neighbor Algorithm system. The Muscle sensor is connected to the face by using electrodes. Then, the sensor's output is processed in Arduino and shows the result on LCD Monitor as an output. By the testing of sensor's functionality, it is found that the sensor responds according to the muscle performance. The sensor's value is increased along with the number of gained loads. Besides that, by the testing of LCD monitor's functionality, the result is obtained that LCD Monitor works well by displaying the output in accordance with the command. Then by the accuracy testing, the best the result is from K equals to 3 with 81% of accuracy level. By the computation time testing, the result of taking the output from sensor, processing, and display the classification takes 1.68 seconds as the average time.
Momentum Backpropagation Untuk Klasifikasi Fungsi Senyawa Aktif Berdasarkan Notasi SMILES (Simplified Molecular Input Line Entry System) Nyimas Ayu Widi Indriana; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Active compounds can be used to make certain drugs and very important in the medical sector. Classification of active compounds is the most important thing in making medicines. After classifying the active compound, it is continued with the process of making and testing drugs that require a variety of tools. The cost of making and testing these drugs requires a high cost and time. This is a major obstacle for medical experts to make certain medicines. By utilizing current technology, a system can be made to classification process of active compounds, so the performance of medical experts for making certain drugs can be faster. The classification process can be done by using a computer and utilizing the SMILES notation. SMILES notation allows a compound to be processed by a computer. The momentum Backpropagation method can be used to perform the classification process properly. Based on the program that has been made, there are 4 types of testing using 522 training data and 131 test data producing, the best accuracy of 70,99% with a learning rate of 0,00001, max epoch of 100, momentum of 0,25 and hidden layer neurons of 4.
Rekomendasi Resep Masakan Berdasarkan Ketersediaan Bahan Masakan Menggunakan Metode N-Gram dan Cosine Similarity Ratna Tri Utami; Yuita Arum Sari; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cooking recipes are the guidelines of a housewife in making a dish. Many recipes that there are easy for housewives to cook. But the reality, there are still a lot of housewife who doesn't understood the compatibility between the composition of cooking materials with dishes to be made. So it takes innovation to facilitate the search for a recipe in accordance with the composition of the available ingredients. It can be included in a form of information retrieval system. N-gram and cosine similarity methods can be used to match the available ingredients with the recommended recipes. Excess cosine similarity method didnt affect by the short length of a text document, because it just calculated only the term value of each document. The N-gram method consists of 3 types of processes: unigram, bigram, trigram which are serves for word processing. In this research, a model for recommendation of relevant recipes using N-gram method and cosine similarity was developed. The tests performed were the measurement of similarity and threshold determination. The results obtained that the system succeeded in calculating the similarity with the value of cosine 0.9. The greater of the value so it closer to the recommendation of the recipe in accordance with the query. From the third results of the best N-gram process is unigram with a threshold value is greater than or equal to 90% and a recall value of 1 and precision 0,2. It can be concluded that unigram is the best N-gram method process to recommend the recipes based on the ingredient.
Implementasi Penyimpanan Data Persisten pada Docker Swarm Menggunakan Network File System (NFS) Andreas Frederius; Mahendra Data; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Docker Swarm is a distributed system development technology for managing the Docker engine group. With Docker Swarm you can run multiple containers at the same time in the Docker engine group. In a distributed method using Docker Swarm a persistent data storage is needed. But facing Docker Swarm stores data on the container, if the container is deleted then the data will also be deleted. Therefore we need a persistent alternative storage data. Network File System (NFS) is an open protocol that can be used to share files on many computer networks and operating systems. The design of the NFS architecture on Docker Swarm uses a client-server architecture. Docker Swarm as a client and NFS as a server. NFS is able to provide persistent storage data on Docker Swarm by configuring data even if the container and machine are restarted. NFS can prepare data on Docker Swarm to retrieve data that has been stored on NFS-3 data remains persistent. The average write speed performance on NFS is 30,168 KB while the working speed of reading the average on NFS is 63,939 KB.
Evaluasi Kualitas dan Kesuksesan Sistem Informasi Batu Among Tani Teknologi (BATT) dengan Menggunakan Pendekatan Technology Acceptance Model (TAM) dan Delone & Mclean Arrofiq Budi Al Fajri; Admaja Dwi Herlambang; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Batu Among Tani Technology is an information system where there are three applications that are integrated into information system of BATT, the three applications are Among Tani, Among Kota, and Among Warga applications. The creating of BATT information system is purposed to prosper and serve the society of Batu. BATT information system was released in the middle of-2017 ago. This study aimed to understand the condition of quality and the successful of implementation of information system of Batu Teknologi Among Tani (BATT). This study was conducted with a combined model of Technology Acceptance Model (TAM) and Delone & Mclean. The data used were 160 respondents by using purposive sampling. The data were collected through questionnaires. The results of quality analysis on perceived usefulness, actual system use variable included to category of very high, and perceived ease of use variable, attitude towards using, behavioral intention to use included to category of high. The results of the successful analysis on the system quality variable, information quality variable, use, user satisfaction included to category of high, service quality included to category of high enough, and the net benefits variable included to category of very high. The results of the quality of BATT information system implementation based on the TAM model are in the high category with a percentage of 79.0% and the successful implementation based on the Delone & Mclean model is in the high category with a score of 77.37%.
Perencanaan Keamanan Informasi Berdasarkan Analisis Risiko Teknologi Informasi Menggunakan Metode OCTAVE dan ISO 27001 (Studi Kasus Bidang IT Kepolisian Daerah Banten) Fadzri Ahdi Anshori; Suprapto Suprapto; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Banten Regional Police is a public service provided by the government to secure and enforce the law in force in Indonesia, especially in urban areas. Operational activities at the Banten Regional Police have been supported by information technology, but the application of information technology in Banten Regional Police has not had a policy regarding information security and risk management. The purpose of this study is to provide a risk mitigation plan that is appropriate for the Banten Regional Police. Provisions on risk mitigation plans can be obtained by identifying and assessing the risks in the Banten Regional Police based on the OCTAVE method. Risk mitigation recommendations are provided in accordance with ISO 27001 standards and prioritized based on the costs and benefits of each recommendation action. The final results of this study, there are 28 risks that may occur in Banten Regional Police with the highest RPN value 240 to the lowest RPN value 18. Risk mitigation recommendations can be made with 11 controls contained in ISO27001.
Perbandingan Algoritme FIFO, PIE, dan RED terhadap Quality of Service pada Wireless Local Area Network Rayza Arfian; Primantara Hari Trisnawan; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One product of technological advancements in wireless network is Wi-Fi with the IEEE 802.11 standard. Wi-Fi technology can be found in public facilities in the form of a Wireless Local Area Network (WLAN) and then turned into a public hotspot. A public hotspot surely has limitation either in accomodating a data packet or a number of clients connected. Data packets that are in the queue are generally processed according to the order in which the packets arrives. This can have an effect on Quality of Service. In this research, the implementation of the queue algorithm in the WLAN was carried out to determine its effect on Quality of Service. The queue algorithms are the First-In-First-Out (FIFO) algorithm, Enhanced Proportional Integral Control (PIE), Random Early Detection (RED). The Wi-Fi standard being used is IEEE 802.11b. In Packet Delivery Ratio, the FIFO algorithm provides better results than PIE and RED. FIFO experienced a 0,7% improvement when using 1000 packets as a queue capacity. Then in the End-to-End Delay test, PIE and RED provide an average delay of 0,9 seconds on each test, better than the FIFO algorithm which can reach 5 seconds. Finally, in throughput all the algorithms tested give results that are not far with only 1-2 bps differences.
Implementasi Algoritme Genetika Untuk Optimasi Komposisi Gizi Menu Makanan Bagi penderita Stroke Hemoragik Sofi Hidyah Anggraini; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stroke is one of the leading causes of death in the world. Hemorrhagic stroke becomes the most dangerous stroke because it can kill directly or even can leave a defect for the patient due to leakage or rupture of blood vessels in the brain. Thus, nutrition adjusment becomes one of the most important thing in preventing the recurrence of stroke and can recover the patient. Preparing a diet food menu for people with hemorrhagic stroke is not easy, because the preparation involves the equilibirum amount of nutritional menu and nutritional needs of patients. In this study, genetic algorithm implemented to solve the problem of diet food preparation for patients with hemorrhagic stroke. The data used as many as 42 data includes 12 carbohydrate, 15 animal protein, and 15 vegetable protein. The reproduction process uses the method of Extended Intermediate Crossover and Reciprocal Exchange Mutation by using permutation representation. The optimal parameter values of genetic algorithm based on the testing and analysis results are 0.1 and 0.9 for Crossover rate and mutation rate, 1000 for the population size, and 700 for the iteration amount on the convergence test.
Rancang Bangun View controller Menggunakan Sensor Akselerometer Pada Game Bus Simulator Sebagai Sarana User Experience (UX) Berbasis Sistem Embedded Bukhori Darmawan; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

games with a different experience or could be said to feel the experience in playing the game.-Racing game on an awful lot of opportunities to apply user experience, on this occasion the researchers to develop a system to replace a mouse in-game play racing.Based on that required a system view controller, system implementation view controller is done with the arduino pro micro as mikorkontroler and MP9250 as input motion sensors are then connected to a laptop with media communications either a serial cable and installed on the user's head with a headband are embedded.To generate a different user experience in playing a game, the system is able to restrict the movement of the view controller with 40 ° restrictions to the movement of the user's head on when turned to the right and to the left so the user can freely when turned to the right and to the the left will be used.The system will be tested in its entirety from some corners that will result in the value of the angle with the value of the difference in average low RMSE where the system can already be used and tested by quantitative descriptive survey method of correspondence for 30 get the category values from the user experience.The results of the test are obtained by averaging the test angle sensor is approximately 0.2 ° and the corresponding user experience testing results systems were able to get a good category average based on feedback given by 30 users.

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