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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 201 Documents
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Search results for , issue "Vol 2 No 12 (2018): Desember 2018" : 201 Documents clear
Penerapan Algoritme Particle Swarm Optimization-Learning Vector Quantization (PSO-LVQ) Pada Klasifikasi Data Iris Ilham Romadhona; Imam Cholisoddin; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Currently Iris flowers are easily found in around the world with various species. In Greek Iris mean the goddess of the rainbow because Iris species has reached 260 to 300 various species with colorful and light flowers. Because of the large number of Iris species, it is necessary to classify the Iris species. To solve the problem, used the Learning Vector Quantization (LVQ) algorithm which will be optimization using the Particle Swarm Optimization (PSO) algorithm was used to classify species into Sentosa Iris, Virginica Iris and Versicolor Iris category where the species previously recorded on Iris dataset. Then the result of this study was compared with the classification using LVQ algorithm. The average accuracy obtained with PSO-LVQ algorithm is 93.334%, whereas the average accuracy with LVQ algorithm is 84.268%. The differece in accuracy is 9.066% it is mean PSO-LVQ algorithm give more a good provides result than LVQ algorithm.
Implementasi Teknik Enkoding Digital Pembacaan Sensor Ultrasonik Untuk Memetakan Keputusan Aksi Robot Quadruped Oggy Setiawan; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Technology development has created various kinds of technology improvement, especially in robotics. Legged-robots has several advantages; they can move in both smooth and rough areas, wavy, uneven or flat, climb the stairs, avoid and step in the distractions. One of the problem in designing a robot's ability is the robot's localization system to know the position in a certain time. Digital encoding technique is a series of combination that produces specific output such as binary as a response to one or more active input that is used to simplify data and can be built from a simple logic gate AND and OR. The digital encoding process start from the making of truth table, digital encoding technique formula, and simplification by K-MAP. Implementing digital encoding technique using 8 ultrasonic sensors to map 8 motor actions of the quadruped robot. Testing is done in three things; the accuracy of ultrasonic sensor HC-SR04, digital encoding computing time, and the accuracy of classification result in digital encoding technique. From the test we can get robot's motor action accuracy by implementing digital encoding technique as much as 98% with the average computing time is around 0,15 seconds when one of the sensors is given a 7 cm incline and 0,17 seconds when one of the sensors is given a 20 cm incline.
Komparasi Metode Data Mining K-Nearest Neighbor Dengan Naive Bayes Untuk Klasifikasi Kualitas Air Bersih (Studi Kasus PDAM Tirta Kencana Kabupaten Jombang) Maulana Aditya Rahman; Nurul Hidayat; Ahmad Afif Supianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Water is a chemical compound that is needed for the survival of living things on earth. The widest area on planet earth is water that covers almost 71% of the region on earth. Water is also a very important substance on earth that is needed by all living things from plants, animals and humans. It takes the supervision and processing of the environment around the water source so as to produce clean water quality in accordance with the standard of clean water quality and meet the standard of water that is suitable for human consumption. To determine the classification of clean water quality there are many methods that can be used. To choose the best classification method, it can be comparated between several methods. This study comparing the K-Nearest Neighbor and Naive Bayes methods. Based on several studies, the K-Nearest Neighbor and Naive Bayes methods are quite good and yield a high degree of accuracy. Based on the test result, the average accuracy value of K-Nearest Neighbor method is 82.42% and the average accuracy of Naive Bayes method is 70.32%. It can be concluded that the best method for water quality classification is K-Nearest Neighbor method.
Pengembangan Antarmuka Website PPPA Daarul Qur'an Malang Dengan Menggunakan Metode Goal Directed Design Alif Akbar Tejamukti; Hanifah Muslimah Az-Zahra; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PPPA Daarul Qur'an (DAQU) is a charitable institution that professionally and accountably organizes an establishment for people based on tahfizhul Qur'an. DAQU Malang, as branch office wants improvements to their website in aspects of appearance, information structure, and addition of charity reports features to gain better credibility. This research objective is to generate design of DAQU Malang website by using Goal-Directed Design method. Goal-Directed Design method has six phases that providing solution for designing website that suit with user's goal. Starting with research phase for collecting needs and conditions desired by stakeholders and users formed into statement of work. Followed by modeling phase, producing persona that describe group of stakeholder and user within 6 variables. Next, requirement definition phase, mapping needs of the website and its environment in descriptive table form and 25 web domains. Then, design framework phase, generating design of information structure into hierarchical task analysis based on card sorting and producing wireframe as the website interface design. Next, design refinement phase, refining of interface design as prototype hi-fi. Lastly, design support phase, practicing a qualitative test evaluation with user testing method that generate positive and negative feedback. This design support phase, quantitative testing has also be done by using the SUPR-Q questionnaire and generate usability, credibility, appearance and loyalty value within 74,57% of all aspect. These value is categorized as C value which means that overall developed website had been good value and acceptable by the respondents.
Implementasi Algoritme Grain V1 Pada Protokol MQTT Menggunakan Raspberry Pi Untuk Mengamankan Data IoT Iskar Maulana; Ari Kusyanti; Adhitya Bhawiyuga
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internet of Things (IoT) is one of the most commonly used technologies today because IoT can connect various devices. In general, the protocol used in IoT is the MQTT protocol that utilize wireless as a medium for data exchange. However, wireless media is vulnerable to wiretapping. Data threats become an unavoidable so there is a need secure the data. One technique for securing data is Grain v1 algorithm. This algorithm is an algorithm in cryptography that is used to encrypt and decrypt messages. The author uses Raspberry Pi as a publisher and subscriber as well as a Virtual Machine (VM) as a broker. The Grain v1 algorithm is placed on each client (publisher and subscriber) so that when the payload is transmitted over the MQTT protocol, the data contained in the payload is encrypted. Likewise, the payload is decrypted after it is received by the subscriber. There are 5 tests to ensure that the system works well including test vector validation testing, system functional, validation testing, encryption and decryption results, sniffing, and time performance. The result shows that test vector validation, encryption and decryption process validation are valid. Functional test shows that system can run well. Based on sniffing test, the payload cannot be read by unauthorized party. Finally, the execution time of processing keystream, encryption and decryption take 0.01246 second, 0.01627 second, and 0.02238 second.
Peramalan Persediaan Spare Part Sepeda Motor Menggunakan Algoritme Backpropagation Danastri Ramya Mehaninda; Imam Cholissodin; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Motorcycle are the most used roudways transportation because they are more affordable and more efficient. Motorcycle require good maintenance to keep comfortable uses and maintain motorcycle performance so as to minimize accidents. Motorcycle maintenance can be done by replacing spare parts regularly in the workshop. To support the maintenance of motorcycle, the workshop should provide the best care services including having spare part inventory to suffice customer who maintance of motorcycle. If the workshop has sufficient spare part, the workshop can minimize the cost of ordering and can minimize the damage caused by storage for too long. There are many workshops that provide spare part replacement service such as Yamaha Motor. At Yamaha Motor is having difficulty in determining the spare part inventory for the next month. Inventory forecasting can help to determine the supply of spare part on Yamaha Motor. This research uses backpropagation algorithm for forecasting spare part inventory. The best backpropagation architecture is 9-7-1, which mean 9 input nodes, 7 hidden nodes and 1 output node. The input used is the history of spare part sales the previous month. The average MSE (error value) obtained from the test result is 0.0094506 and the smallest MSE obtained is 0.0085305 with the average difference of the actual value with the forecasting result is 6. At the smallest MSE value, the forecasting result approaches the actual value and has a pattern that almost the same.
Analisis Dan Perbaikan Proses Bisnis Menggunakan Metode Business Process Improvement (BPI) (Studi Kasus: PT. Wonojati Wijoyo) Tri Susanto; Djoko Pramono; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wonojati Wijoyo is a company in industrialized furniture of teak. In this company, there are some division that was create for helping so many others short or long terms goals. Accounting and finances is the one of division in this company. There are 3 main steps or processes, the first thing is accountancy finances reports and the reports of employee's salary. The process of this business was getting some seriously problem in accounting and finances division, they always need much time to give the best report and it always exceed of the time was given. As the result, in this division also needs evaluation and repairing for better process in every aspect that what we hope and was given the best solution. The best solution is give the recommendation for the new business process and this process was believing that it was more effective. From the result of value chain analysis and decomposition of business program in reports of employee's salary. Based on evaluation of this program by using five whys analysis methods, the researcher was the main problem is in the absences still using manually program by using check log, but in this condition this manually program was susceptible of dishonest and there was some mistake in the process of recapitulation. Based on this evaluation there was done a treatment by using tools streamlining from Business Process Improvement (BPI). From the result of the recommendation this company has program for changing system of absence by using finger print and lost the old one program of recapitulation absence. From all simulation process of business it was getting a gap around 3 hours 34 minutes with 28.92% percent.
Implementasi Metode Naive Bayes-Certainty Factor Untuk Identifikasi Cedera Pada Pemain Futsal Rhiezky Arniansya; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are still many futsal players who think that injury can recover quickly without having to go through the right handling. There are injuries that injury can get worse if the initial handling is wrong. That's because the lack of understanding of players about injury. Injury treatment can be done by the physiotherapist but it was hit because of the lack of physiotherapist available for handling. In the research will be made an identification system to reduce these limitations by implementing the method of Naive Bayes-Certainty Factor-based android to diagnose the injury that affects futsal players. The results show that the use of Naive Bayes-Certainty Factor method has accurate results and a good and accurate diagnosis, since the output produced by the system has an accuracy of 88.57%. Hopefully with this application will be able to help the players futsal to know injury or handle injury and add insight about any injuries that can befall him.
Implementasi Konsep Internet of Things pada Sistem Monitoring Banjir menggunakan Protokol MQTT Chrisyantar Hasiholan; Rakhmadhany Primananda; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In general, Internet of Things can be interpreted as connecting various objects around with an internet network. To implement it, the Internet of Things requires a communication path to suit the needs of the system. One protocol that suits the application of the concept of Internet of Things is the Message Queue Telemetry Transport (MQTT) protocol. The MQTT protocol is often used in systems that use the concept of the Internet of Things, one of which is the monitoring system. One aspect of life that requires a monitoring system is a natural disaster. From various natural disasters that occurs Indonesia, Flood is a natural disaster that quite often hit many cities in Indonesia. Therefore, this research implements the concept of Internet of Things on flood monitoring system using MQTT protocol. Based on test results, it is concluded that MQTT protocol can be used in flood monitoring system. The accuracy of the system is 97.801% with obtained standard deviation is ± 0.0309 cm. In scalability testing, obtained the average percentage of success rate of 100%, 99.87% and 99.93% on thread trials 100, 250 and 500, which each performed 3 times. And on data integrity testing, the MQTT protocol obtains the same 100% data in each experiment with intervals of 10ms, 100ms and 1000ms.
Kualitas dan Kesuksesan Implementasi Sistem Informasi Kesehatan dengan Menggunakan Model Unified Theory of Acceptance and Use of Technology dan Model Delone and Mclean Cindy Felita Nur Alimah Saptonoadi; Admaja Dwi Herlambang; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Homedika is a technology-based social entrepreneur that connects health workers and health facilities with various health services. Homedika established since November 2016 by dr. Gamal Albinsaid. This research has a purpose to know the quality and success implementation of Homedika. This research used model of Unified Theory Acceptance and Use of Technology (UTAUT) and DeLone & McLean model. The number of respondent that will be used for this research is 30 by using purposive sampling. Data were collected by questionnaire. The data analysis in this research used statistic descriptice. The results of quality analysis on the variable of social influence was high enough category. The results of success analysis on the variable of use was high enough category. The recommendation given in this research based on indicator that has a value below the total averages, there were subjective norm on social influence indicator and frequency of use indicator on use.

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