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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 51 Documents
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Search results for , issue "Vol 2 No 2 (2018): Februari 2018" : 51 Documents clear
Analisis Faktor Penerimaan Pengguna E-Learning SMA Negeri di Kota Blitar Menggunakan Model Unified Theory of Acceptance and Use of Technology (UTAUT) Diah Destaningrum; Suprapto Suprapto; Niken Hendrakusma Wardani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

E-learning is an internet application that can connect between educators and learners in a online studi room. E-learning Blitar city to facilitate interaction between school tuition in learning process with the teacher especially in Blitar City. Teacher or an instructor can put learning materials and tasks that must be done by school tuition in a particular place in a web for accessed by the school tuition. Based on the results of interviews from one of the development team, since enactment of e-learning Blitar City users namely students and teachers not have been able to accept any information technology of the new. This can be seen in high school Blitar 1, high school Blitar 2, high school Blitar 3, high school Blitar 4 not all the teachers and students use the e-learning. Unknown factor-factor whatever causing a user not accept any e-learning blitar city. This research be useful to know factor-facktor acceptance users state high school e-learning especially in the Blitar City have applied e-learning. To research it will use the model unified theory of acceptance and use of technology (UTAUT) to know factor-factor anything that affects revenue. The model was obtained from previous studies and adapted in accordance with research. The results of the study based on analysis and discussion is the variable performance expectancy (PE), social influence (SI), facilitating condition (FC). Perceive credibility (PC), and anxiety significant to intention to use.
Sistem Pakar Diagnosis Penyakit Kucing Menggunakan Metode Naive Bayes - Certainty Factor Berbasis Android Achmad Affan Suprayogi Nugraha; Nurul Hidayat; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At this time a lot of people who nourish cats. This is because a lot of the perceived benefits after nourish cats, such as foster a sense of compassion for sentient beings and also can help restore a person's psychological condition so as to reduce stress. In addition to maintenance a relatively easy, the cat is a cute animal. However, if the health condition of cats is disrupted will have a negative impact for the keeper because of the risk can be infected. Healthy cats deemed important but the number of medical personnel cat animals is very limited. Making this system can help the work of experts in the diagnosis of diseases of cats. The method used is Naive Bayes and Certainty Factor. Naive Bayes method works by looking for the emerging value opportunities cat disease, whereas the Certainty Factor method works by looking for the value of the trust. The application is built using the android-based programming language JAVA and XML in Android Studio. The test is performed by comparing the conformity result of the system diagnosis with the expert diagnosis. And from 25 test case data obtained accuracy rate cat disease diagnosis expert system using Naive Bayes method - Certainty Factor-Based Android by 80%.
Optimasi Fungsi Keanggotaan Fuzzy Dua Tahap menggunakan Algoritme Genetika untuk Penentuan Bakat dan Tingkat Persentase Kecerdasan Anak Khairiyyah Nur Aisyah; Imam Cholissodin; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every child has unequal talents and abilities. But not all parents can recognize about the talent that is actually owned by their child. Many parents are misjudge about the potential related to their child. As a result, many children do a subject which not appropriate with the passion they had and can not develop in their profession because of the minimum passion to it. With a system that can determine the talent and intelligence, it is expected that there is a good synergy between teachers and parents to provide an appropriate guidance accordance to the ability owned by them. The processes did on this research consists of 2-stages fuzzy.. The first stage is the determination of talent with Fuzzy Logic and the second stage is determining the percentage of child's intelligence level with Fuzzy Inference System Tsukamoto. The membership function of both will be optimized using Genetic Algorithm to get more optimal result. The accuracy obtained after the optimization with Genetic Algorithm is 87.91%, 27.08% better than without using optimization with an accuracy of 60.83%. The best fitness value was variation of chromosome with 7 genes, population size 100, number of generation is 70, and combination cr=0,8 and mr=0,2.
Implementasi Metode Analytic Hierarchy Process - Weighted Product Untuk Rekomendasi Hunian Ideal (Studi Kasus: Kota Malang) Rizaldy Aditya Nugraha; Indriati Indriati; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The purpose of this study is to help prospective house buyers in getting the recommendation for an ideal house to be purchased. Prospective house buyers that were looking for a house of their dreams still found it difficult to obtain the appropriate recommendation suitable with their desires. Therefore, this study was conducted to create a decision support system application of ideal house recommendation to facilitate a prospective house buyer in obtaining an ideal house recommendation. The input data used on this system is a weight priority measure for each criteria and sub criteria of the house specified by the prospective house buyer. Then these input data are calculated by using analytic hierarchy process - weighted product method. The analytic hierarchy method is used to obtain the criteria and sub criteria weight which is then used for the calculation of weighted product method. The final result of this system is the rank order of ideal house recommendation. The test performed on this system is done on the pairwise comparison matrices with 80% accuracy.
Klasifikasi Dokumen Tumbuhan Obat Menggunakan Metode Improved K-Nearest Neighbor Arinda Ayu Puspitasari; Edy Santoso; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The high utilization rates of medicinal plants is leading to increase the studies on it. Those studies certainly require documentation that contains information about medicinal plants. The large and scattered documentation cause difficulties in searching for information about medicinal plants. To overcome these problems a system that can classify the document automatically is needed to make the information search work more effective and efficient. K-Nearest Neighbor is the algorithm often used to classify text, but has a weakness in accuracy because of the fixed k values for each category. K values is the amount of the closest training data to the test data. Improved k-Nearest Neighbour is the algorithm used in this study to overcome the problem where the different k values will be applied based on the amount of the training data for each category. The average accuracy for the k values testing is 70,99%. The training data variation testing shows that the bigger amount of training data the higher average accuracy will be. The unbalanced data testing showed that the balance data training category has 1,9% better accuracy than the unbalanced category.
Pengembangan Sistem Monitoring Aktivitas Jaringan pada Mikrokomputer Raspberry Pi Frondy Fernanda Ferdianto; Widhi Yahya; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Internet of Things(IoT) development have been improved very well, the integration of device in various field become the prove. The IoT device number of use also increase, from this fact, IoT devices management become the challenge to solve. The solution of this challenge is network monitoring system that run effectively. The system must handle the constraint of IoT device power and computational performance too. The implementation of monitoring using SNMP is not effective, because the size of paket for transmission is big and not all component of SNMP protocol being used. The monitoring system that being developed use UDP protocol because of its simplicity and light-weight to IoT devices. The selection of data structure and database also give contribution to effectiveness of this system. The IoT devices that used for the development is Raspberry Pi, this device has been selected because of the good integration with the other sensors, so it will make the development of this system in future become possible. This system monitors the device resource and network activity, then the result will be displayed on a graph, so the user can get the information of the result. The network monitoring system that being developed is effective, because the use of device's resource is small. In one transaction, the data paket size which transmitted is 309 bytes, this is smaller than SNMP-based monitoring system.
Implementasi Genetic Algorithm Dan Artificial Neural Network Untuk Deteksi Dini Jenis Attention Deficit Hyperactivity Disorder Brillian Aristyo Rahadian; Candra Dewi; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

ADHD (Attention Deficit Hyperactivity Disorder) is a psychomotor disorder that the patient is difficult to concentrate and do something excessively. Types of ADHD detection can be done by experts such as doctors, nurses and psychologists who has mastered and give solutions for therapy who affected by ADHD. However due to the limited expertise it's quite difficult to consultancy with an experts. Therefore can be made a system for early detection of ADHD. In this research, the implementation of GA-LVQ2 methods for early detection of ADHD types. Stages of implementation are population initialization, crossover, mutation, evaluation, elitism selection, and LVQ2 training. Using real coded genetic algorithm as the representation of solution. Chromosome length in this study was 45, which is a symptom of ADHD. The result of the testing has been done is the highest accuracy reached 95% in the test with 20 data testing with the parameter value of population size 10, crossover rate 0.9, mutation rate 0.1, generations 40, learning rate 0.1, the learning rate reducer 0.1, the constant value ε 0.35. System output is the best LVQ weights that have been tested and have high accuracy.
Analisis dan Perancangan Sistem Informasi Manajemen Gudang pada PT Mitra Pinasthika Mulia Surabaya Arel Riedsa Adiguna; Mochamad Chandra Saputra; Fajar Pradana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Warehouse management is managing activity of goods stored in warehouse. PT Mitra Pinasthika Mulia Surabaya is a company that applies warehouse management system to support its performance. However, PT MPM needs a new warehouse management system because, based on analyst business of PT MPM, the current warehouse management system can not support the operational activities. PT MPM cooperates with a system developer vendor to develop new warehouse management systems. In developing the system, PT MPM requires documentation system design and analysis the problems in the old system in order to arrange a system that can optimally support the company performance. Therefore, the research's goal is to analyze and design a system that can be understood by vendors and PT MPM. The design analysis was using the FAST (Framework for the Application of System Thinking) method in four phases. The first three phases produced requirement analysis with PIECES as the framework for classification of problems, while the logical design phase produce usecase, activity diagram, sequence diagram, wirefame, class diagram, CDM, and PDM. The process of design evaluation was analyzed by using consistency analysis method to prove that it has a 100% percentage value consistent and was included as the correctness category on the correctness test so the system design was concluded as consistent and correct
Klasifikasi Risiko Hipertensi Menggunakan Metode Neighbor Weighted K-Nearest Neighbor (NWKNN) Bayu Laksana Yudha; Lailil Muflikhah; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hypertension or called high blood pressure caused high risk of death in Indonesia. This could trigger sustainable effect to other diseases such as heart attack and kidney failure. According to WHO, as many as 30% of Indonesians are sufferers hypertension, Indonesian Hypertension Doctor Association also said that 76% of cases of hypertension can not diagnosed earlier and therefore hypertension is called a silent killer. The way to handling hypertension earlier is by early detection of hypertension in form of Early Alertness System (SKD). In this research will classified risk of hypertension based on medical record using Neighbor Weigted K-Nearest Neighbor (NWKNN) classification method. This method is the development of the KNN method. In NWKNN there is a weighting process in each class of hypertension risk. In this study, the classification of hypertension into 4 risks that is Normal, Pre Hypertension, Stage 1 and Stage 2. The results of this research shows that the NWKNN method is able to classify the hypertension risk well when tested on 100 training data, 25 testing data, K score=10, and E score=4 with accuracy result that reached 88%.
Pengukuran Kualitas Website Unit Pengembangan Karir dan Kewirausahaan Universitas Brawijaya Menggunakan Metode Webqual 4.0 Ananty Yunanda Rezkiani; Suprapto Suprapto; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Website is a media technology that can deliver all kinds of information quickly. One of the institutions that use the website media is Unit Pengembangan Karir dan Kewirausahaan Universitas Brawijaya or commonly called UPKK UB. UPKK UB uses website to convey or disseminate information about job vacancy, training and socialization to enter the field of job. UPKK UB said that They never made a measurement of website quality although there are some complaints from the users, so that UPKK UB felt that they need to make a measurement of website qulity.From the description of the problem, the measurement of website quality UPKK UB by using webqual 4.0 method which aim to know webqual variable that influence user satisfaction, from indicator of webqual 4.0 need improvement for website UPKK UB, and give recommendation improvement. Data analysis techniques were performed using SEM (Structural Equation Model). The tool used in this research is SmartPLS 3.0 as a tool (Partial Least Square) PLS. Based on the result of the survey of 99 respondents, the value of R square for the user satisfaction variable is 0.546, which means that the value indicates variable satisfaction can be explained by variable usability, information quality, and service interaction quality of 54.6%, while the rest is 45.4% is influenced by other variables not found in this study. The result of the data analysis there are 7 indicators of webqual 4.0 that need improvement.

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