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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 5 (2019): Mei 2019" : 125 Documents clear
Pembangunan Sistem Informasi Pembayaran Biogas Skala Rumah Tangga Berbasis Web di Desa Claket Kecamatan Pacet Kabupaten Mojokerto Andrean Bagus Mahendra; Bayu Priyambadha; Adam Hendra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The scarcity of subsidized LPG is become the biggest problem for the people in lower to middle class. This scarcity triggered by the increasing of the community that used LPG. In addition, scarcity had been caused by a fraud of some people whose shouldn't use a subsidized LPG. For the some people whose the cattle breeders in Claket Village isn't unfortunate this problem, because they are recycling cow manures become to a biogas. Than, the product of biogas can be alleviate for the breeders themselves and for the neighbours if they needed. However, there's nothing cost controller had been used to control the user for using biogas, so they needed a tool that can be used to control a biogas payment. Therefore, the solution was offered by make a web-based biogas payment system by applying the internet of things concept. The internet of things concept is built with the NodeMCU based module and it's working in MQTT network protocol as a bridge of data communication. This device will be used to detect a biogas flows and converting into data. Furthermore, it will be send and process into biogas payment system. Finally, several stages of testing are carried out on the system which results in a valid percentage of 100%.
Pengembangan Sistem Informasi Pengelolaan Klinik Gigi Berbasis Website Menggunakan Prinsip Point of Sale (Studi Kasus: Klinik Gigi Senyum Sehat Dental Care) Rafiqah Majidah; Denny Sagita Rusdianto; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Senyum Sehat Dental Care is a dental clinic which has been operating for 3 years. The number of patients recorded by the dental clinic is numbered approximately at 500. Along with the development and the increasing number of patients of this dental clinic, various problems arise, one of the problems that arise is lack of work efficiency in terms of time and exerted effort. The next problem is lack of information on the amount of dental care ingredients availability. Based on these problems, it is necessary to develop an efficient system to assist the dental clinic to better save time and exerted efforts. In order to test whether the system that has been developed is correct according to the needs, unit, integration, and validation testing with white-box and black-box method used in this case. Non functional testing takes efficiency aspects by testing the system performance to see the load time, then comparing the time needed before and after using the system. The results of validation, unit, integration, and performance testing are 100% valid. This system can increase time efficiency 30 times faster than before using the system.
Prediksi Rating Otomatis Berdasarkan Review Restoran pada Aplikasi Zomato dengan menggunakan Extreme Learning Machine (ELM) Diajeng Tania Ananda Paramitha; Imam Cholisoddin; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this modern culture, technology advancement are growing better than we ever discovered before. One of the apps we use to search for information about restaurant in Jakarta are known as Zomato. Zomato is an application that provides various information about a restaurant from it facility, price, review, and rating. Users of The Zomato App can input various information that people haven't aware of about the restaurant into the app. Besides of inputting information into the app, Users of The Zomato App can also input a review and rating of a specific restaurant. The data review is used as an information about the restaurant for the potential customer from The Zomato App but sometimes the data review doesn't yet include a restaurant rating. This lack of misinformation will surely make the restaurant owner to occure some difficulties such as improving the restaurant services status for future outcomes. This research helps to classifying the review into the rating. Test protocol of this research are using a prediction with Extreme Learning Machine (ELM) Methods as it core. The prediction process however are build from a several steps such as pre-processing, word weighting with TF-IDF, and Extreme Learning Machine (ELM) Method calculations. Test result of The ELM parameter provides accuracy result 80,01% with k=10 amount hidden neuron 25 Interval weights -0.5 until 0,5 using function activation Sigmoid biner. We have come to conclusion were ELM method could positively solve the prediction problem exquisitely.
Peringkasan Review Konsumen Restoran Menggunakan Weighted Frequent Itemset Mining Moh Iqbal Yusron; Fitra Abdurrachman Bachtiar; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Review written by customer toward a restaurant can be useful for prospective customer or owner of the restaurant to knows the others opinion about the restaurant. However, this can cause a problem if customer review comes in large number. Automatic text summarization system can be a good solution to this problem. One of the best known method for automatic text summarization is TF-IDF weighting. Yet, this method also has a weakness for having tendency to extract long sentences as summary which has high score for contaning many words. In this research, writer propose an approach to use automatic text summarization which not only extract sentences based on its weight but also the ones which covered some words. This is because in the sentences which considered as summary, exist some words which appear together frequently (frequent itemset). Therefore, in this research Weighted Frequent Itemset method is used to summarize customer review for restaurant. This method summarize text by extracting sentences which covered many frequent itemsets and has high sentence relevance score. The result from the test shows that summarization using Weighted Frequent Itemset Mining method archieve average F-measure 0.279.
Evaluasi dan Perbaikan Proses Bisnis dengan Quality Evaluation Framework (QEF), Root Cause Analysis (RCA), dan Teknik Esia (Studi Kasus: Pelayanan Pasien BPJS Rawat Jalan Rumah Sakit Islam Aisyiyah Malang) Tirta Saraswati; Ismiarta Aknuranda; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Islam Aisyiyah Hospital Malang is the one of private hospitals that acccepted inpatient and outpatient BPJS services. The business process of outpatient BPJS patient services Islam Aisyiyah Hospital is a service for BPJS patients by providing examinations and medication in one day without hospitalization. The BPJS outpatient services can be done in two ways, through the UGD if the patient condition emergency and through the Polispesialis if the patient is referral from a clinic or health centre. During the implementation of the BPJS outpatient services there were still problems about the detection of the referral number, the poly destination, and the patient's hospital destination in the referral letter at BPJS application and the patient's file was exchanged during the registration process. Based on these problems, it is necessary to evaluate business processes using Quality Evaluation Framework (QEF) to knows the suitability of achieving the company's by the business processes that have been modeled using Business Process Modeling and Notation (BPMN). The next step is to find the root problems with Fishbone Analysis. After that, the next step is to improve business processes using ESIA techniques (Eliminate, Simplify, Integrate, and Automation). And then, the results of business process simulation the outpatient services of BPJS at Polispesialis increased by 16.69% and at the UGD the Islam Aisyiyah Hospital increased by 4.01%.
Implementasi Mekanisme Load Balancer dan Failover pada IoT Middleware berbasis Publish-Subscribe Ahmad Naufal Romiz; Eko Sakti Pramukantoro; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Previously, IoT middleware was built to overcome the problem of syntactical interoperability (silo). The IoT middleware was implemented on the Raspberry Pi. In addition, to make IoT middleware functions more scalable, cluster message edge storage was developed which can increase memory capacity on the IoT middleware node (Raspberry Pi engine). In that system, the entire message delivery process was limited to one IoT middleware node which function is as a broker. That results in unbalanced loads by stacking on one IoT middleware node. The problem of unbalanced loads, can be overcome by adding a load balancer on the system, with multiple IoT middleware as the aim of traffic load balancing. Round robin algorithm is used in the research as a traffic distribution method by load balancer. Load balancers are developed as a single entry point on a system. Two devices are used as load balancer. Keepalived is also implemented so that a failover mechanism in the node load balancer can be occured. Testing was carried out to determine the time process done by IoT middleware on publish and subscribe messages. In addition, the testing was also used to determine the number of messages per second which IoT middleware can handle. From the testing result, the average concurrent publish value of CoAP is 62 messages/second on a system without a load balancer and 63 messages/second on a system with a load balancer. The concurrent publish average value of MQTT is 41 messages/second on systems without load balancers and 73 messages/second on systems with load balancers. The concurrent subscribe average value is 37 messages/second on the system without a load balancer and 68 messages/second on the system with a load balancer.
Prediksi Harga Saham menggunakan Metode Backpropagation dengan Optimasi Ant Colony Optimization David Bernhard; Muhammad Tanzil Furqon; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stocks are a sign of a person's or party's investment contribution to a company or limited liability company. Movement of stock prices affects the profits and losses that will be obtained by the investor. The obstacle is stock prices can change in every minute on weekdays. It takes a method that is able to predict stock prices accurately and consistently, so that it can minimize the risk of stock investment. Besides its advantages, BPNN has shortcoming, such as slow convergence time, easy convergence to local minimum points, and poor generalization capabilities. ACO has advantages in distributed computing, positive feedback, and metaheuristic properties that can improve the weaknesses of BPNN. This study uses time series data from the stock price of Bank Rakyat Indonesia (Persero) Tbk. period 1 January 2018 until 31 December 2018. ACO serves to optimize the value combination of learning rate, momentum, and number of hidden nodes for BPNN training phase. Best combination of ACO parameter values was obtained, namely the ant cycle constant worth 0.8, the control constant of pheromone intensity worth 0.1, the visibility control constant worth 0.1, the local pheromone evaporation constant worth 0.5, global pheromone evaporation constant worth 0.1, number of ants 5, and number of iterations 7. That combination produces an average of MAPE 1.745, while BPNN only reached 3.024.
Pembangunan Sistem Informasi Pengelolaan Praktik Kerja Lapangan Fakultas Ilmu Komputer Universitas Brawijaya Achmad Rizki Aditama; Denny Sagita Rusdianto; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Field Work Practice (PKL) is one of academic activities that must be carried out by students of Faculty of Computer Science Universitas Brawijaya (FILKOM UB) in completing their studies. The purpose of this activity is to synchronize between campus academic education with students' mastery of hard skills and soft skills in the form of direct interaction with community and working worldIn order to do PKL, procedure is divided into 3 phases, namely registration, implementation, and reporting. In implementing the PKL procedure, there are several problems faced. From students' perspective, the problems include too many physical forms that must be handled and a quite long path of submitting PKL. The PKL's lecturer supervisors problem was during the supervision process of his student. While the problem of academic staff is make sure whether the PKL has held according to the procedures. Based on the problem discussed, this research is held to develop the system that can facilitate the implementation of PKL procedures in order to provide simplicity during the process. In requirement engineering process, there were 59 functional requirements and 1 non-functional requirement obtained. Then do the preparation and implementation phases. This system is implemented into a web-based application that is built using the programming languages ​​PHP, HTML, CSS and JavaScript by using the Laravel framework. This system has been tested with unit, integration and validation testing with 100% valid results for all tests, and compatibility testing with the results of the system can run on 5 different test browsers.
Implementasi Extreme Learning Machine dan Fast Independent Component Analysis untuk Klasifikasi Aritmia Berdasarkan Rekaman Elektrokardiogram Aditya Septadaya; Candra Dewi; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The type of arrhythmia can indicate the location of the disorder and its causes. The way to identify the arrhythmia is to use an electrocardiogram (ECG) strip. Machine learning can be used as an approach to assist identification of arrhythmias through an ECG. Extreme Learning Machine (ELM) is one single-hidden layer feedforward neural networks (SLFNs) that can be used for the classification of arrhythmias in order to assist medical diagnosis. To optimize ELM performance, Fast Independent Component Analysis (FastICA) algorithm is used for preprocessing and extracting ECG signals. In this study, several parameter tests were conducted to determine the impact on the performance of the classification model. ECG data obtained from the arrhythmia database managed by the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH). Each data is a 3 seconds ECG snippet with total of 210 data divided into 6 arrhythmia classes and normal rhythms. The results showed that the classification model was able to achieve perfect performance with accuracy, precision-recall, and F-1 score of 100% at the training stage. However, the classification model was experiencing overfitting at the testing stage with the mean of matthew correlation coefficient is approximately 0. Overfitting occured because the feature representation is too complex and not proportional to the amount of available data. This resulted in poor performance in the ELM-FastICA test for data that was not yet recognized.
Optimasi Penjadwalan Sidang Skripsi Menggunakan Algoritme Genetika Terdistribusi (Studi Kasus : Prodi Teknik Informatika Fakultas Ilmu Komputer Universitas Brawijaya) Putri Bunga Rahmalita; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are several problems on thesis scheduling in Informatics Engineering Study Program Faculty of Computer and Science Brawijaya University that makes thesis scheduling ineffective. Significant differences in the number of students and lecturers in 2017 as well as thesis trial registration in the adjacent time is often a problem in scheduling thesis hearings. Ineffective scheduling will take a long time. Therefore, need a system that can be made using a distributed genetic algorithm method to do thesis trial scheduling. The first step in system is randomize chromosomes and then the population will be divided into several subpopulations, and will go through the reproductive stage, then through evaluation to calculate the fitness value. Selection process will be selected for the next generation. In the distributed genetic algorithm a migration process will be carried out to increase the diversity of individuals by exchanging individuals from one subpopulation to another. Based on the test, the optimal parameter value in the thesis trial scheduling is 11 populations, 1750 generations, the crossover rate is 0.7 mutation rate 0.3 and sub-populations with an average fitness value of 0.00010232. From the results of the test, if there is more population and generation, the wider and bigger the search area for the solution will be, but a cost of a longer computing time.

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