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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 6,850 Documents
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Analisis dan Penentuan Prioritas Pencegahan Masalah Menggunakan Failure Mode and Effect Analysis dan Cause and Effect Analysis Pada Proses Bisnis Pengajuan Proposal Program Kreativitas Mahasiswa (PKM) (Studi Kasus : Universitas Brawijaya Malang) Zaenal Kurniawan; Ismiarta Aknuranda; 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

Universitas Brawijaya (UB) is one of the universities that became an active participant of Student Creativity Program (PKM) organized by Belmawa Dikti. As the most common winner 6 times, UB must improve the quality of competitiveness in order to retain the champion generally back. The steps taken are to submit a proposal of PKM as much as possible with good quality. However, in reality, PKM proposal submission process is not in accordance with the desired target, so that it can hamper the university to reach the target and risk in UB prestative decline. Therefore, it is necessary to do analysis using Failure Mode and Effect Analysis and Cause and Effect Analysis to determine the root and cause of problems that occur. The first step is to identify key business processes for submitting PKM proposals, then modeling business processes using Business Process Model and Notation (BPMN). Next determine the failure that occurs along with the cause and effect that will appear and performed calculations using the Failure Mode and Effect Analysis (FMEA) equation. The next word is to determine the priority failure of some problems based on the highest value. The three highest problems are then analyzed using Cause and Effect Analysis, the purpose is to know the cause and the root of the problem. The result of this research is recommendation of improvement based on cause and root of problem happened at activity or process which have been analyzed.
Klasifikasi Penderita Penyakit Ginjal Kronis Menggunakan Algoritme Support Vector Machine (SVM) Ega Ajie Kurnianto; Imam Cholissodin; Edy Santoso
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

Data mining is one of the processes that can be used in the healthcare industry currently. With the large amount of data collected, it can be used to get some information or an interesting pattern. Later on, the information can be used to provide assistance, diagnose, or decision making of a patient with the certain disease, such as chronic kidney disease, which is one form of disorder in the kidney. It is a deadly disease, but with proper precautions, this disease can also be avoided. Usually, most patients with a chronic kidney disease don't know the suffered disease and patients tend to underestimate when they find early symptoms of chronic kidney disease. Therefore, it needs a system that can facilitate the early detection of the chronic kidney disease. One technique that can be used is the classification using Support Vector Machine (SVM) algorithm. This algorithm aims to create an optimal hyperplane or dividing line. This research used data from 158 patients with 24 features and 2 classes. Based on test results, obtained best accuracy 100% with the details of parameter value is augmenting factor value (λ) = 0,001, learning rate value (γ) = 0,001, complexity value (C) = 0,001, sigma value (σ) = 1, and number of iteration = 1000.
Diagnosis Penyakit Kelamin Laki-Laki Menggunakan Metode Bayesian Network Yori Tri Cuswantoro; 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

Venereal disease is a disease that attacks the male and female genital organs that are usually transmitted through sex or oral sex. In Indonesia, the most common sexually transmitted diseases are syphilis and gonorrhea, the prevalence of sexually transmitted diseases in Indonesia is very high, in Jakarta the prevalence of gonorrhea is 29.8%, syphilis 25.2% and chlamydia 22.7%. Everyone can get a sexually transmitted disease. The tendency of increasing the spread of this disease is caused by the sexual behavior of multiple partners, and the existence of a high premarital sexual relationship. Bayesian Network is a simple Probabilistic Graphical Model (PGM) built from probabilistic theory and graph theory. The variables needed in this study are symptoms of male genital disease. After the symptoms are entered, it will be processed by the Bayesian Network. The result of the bayesian network is the diagnosis of male genital disease. The accuracy obtained from the test results is 88.57%.
Implementasi Performance Improved Holt-Winters Untuk Prediksi Jumlah Keberangkatan Domestik di Bandar Udara Soekarno Hatta Revinda Bertananda; Budi Darma Setiawan; 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

Air transportation in Indonesia is experiencing a rapid increase. Given the developments that occur, it's not impossible that in the future air transport will be a superior transportation again. But every flight in an airport doesn't always carry the same number of passengers each month. The number of these unconfirmed passengers should always be predictable so that the airport can determine policies to adjust the increase or decrease the number of passengers in the future. Prediction done in this research using Performance Improved Holt-Winters method. This method can predict time series data that has a data pattern with seasonal variation. In its calculations, Performance Improved Holt-Winters method involves trend and seasonality and is based on three smoothing equations: overall smoothing (level), trend smoothing, and seasonal smoothing. The data used in this study is the data of domestic departure at Soekarno Hatta airport from January 2012 to December 2017 which obtained from the official website of Central Bureau of Statistics Indonesia (www.bps.go.id). From the results of tests that have been done, the result of the smallest MAPE value is 2,976% with the parameter value α (alpha) = 0,04; β (beta) = 0,002; Υ (gamma) = 0,1; the number of training data = 60, and testing data = 12.
Sistem Penentu Suhu Dan Kelembaban Incubator Telur Unggas Berdasarkan Berat Dan Warna Telur Menggunakan Metode Fuzzy Moh. Zainur Rodhi; Dahnial Syauqy; Gembong Edhi Setyawan
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

Egg hatching machine is one innovation in technology that is proven to increase production results in poultry farming. But the existing egg hatchery machine is considered still less efficient, because in terms of functionality, one unit of egg hatchery machine only serves to incubate just one particular egg species and can not be used to incubate different egg species. As the result based on this problem, come an idea for designing temperature and humidity control sistems using the weight and color of poultry eggs on poultry egg Incubator for chicken egg, duck egg and quail egg. This sistem is created using a load cell sensor to detect the egg weight, color sensor TCS3200 to detect egg color, DHT11 sensor to detect air temperature and humidity and arduino uno as the data processor of the sensor. The process of detecting eggs done by using fuzzy logic. This sistem is able to adjust the temperature and humidity values ​​in the Incubator automatically according to the egg species detected. Adjust the temperature value using a bulb lamp which functions as a heating, while for humidity use humidifier which functions to increase the value of air humidity. From the results of fuzzy logic testing obtained error percentage of 0.001%, and aktuator conditions to adjust the temperature and humidity values is in compliance with the required conditions.
Penerapan Komunikasi Berbasis 6LoWPAN(802.15.4) Antara Node Sensor dengan IoT Middleware Binariyanto Aji; Eko Sakti Pramukantoro; Mahendra Data
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

IoT middleware is one of the solutions of IOT Interoperability. The development of IoT middleware still needs to be developed and expanded. 6LoWPAN is an IPv6-based technology that has many advantages, beside superior on coverage, security, and scalability, 6LoWPAN is also designed for low-power devices. The purpose of this research is to realize IoT Middleware that is able to support network layer Interoperability, we want to add 6LoWPAN implementation on IoT middleware device which previously only have WLAN device. The middleware and sensor nodes will be tested for their ability to use 6LoWPAN technology, to ensure that previously running service on IoT middleware can run on 6LoWPAN technology. The results obtained are, IoT middleware can communicate with 6LoWPAN technology. Node middleware and sensor nodes can use the CoAP and MQTT protocols that stand on 6LoWPAN technology. It should be noted that CoAP and MQTT can work on the 6LoWPAN technology to ensure that the middleware node provides TCP6 and UDP6 where both protocols make CoAP and MQTT communicate based on Ipv6.
Evaluasi Proses Bisnis Layanan Transportasi Menggunakan Metode Quality Evaluation Framework (QEF) (Studi Kasus: PT Citra Perdana Kendedes) Desy Miladiana; Nanang Yudi Setiawan; Andi Reza Perdanakusuma
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

Citra Perdana Kendedes or better known as Citra's Taxies is a provider of transportation services in the form of taximeter cab. There are some key business processes running on company Citra Perdana Kendedes, it starts from incoming orders, shipping fleet, the auction order, pick-up and delivery orders, and service intervals. There are about 1200 incoming orders each day. However, there are hundreds of complaints coming into the company. About 70% of incoming complaints, its about the cab's delay to the customer's place. Because of these problems, it is necessary to hold the evaluation and root analysis of the problems occurred at the company. The steps that will be used in conducting the evaluation of the business process is thermally business functions using the method Value Shop Analysis, then make the models using Business Process Model and Notation (BPMN) use application of Bonita, then do mapping of Quality Factor in every business process that have been modeled using the Quality Evaluation Framework (QEF) method. 5 quality factors are produced, which are not in accordance with the company's target. The discrepancies obtained will be analyzed using 5 whys analysis method. Based on the results of the 5 whys method analysis found 22 root causes. The most root of the problem comes from the driver or human resources. This can be a reference for companies to reduce incoming complaints.
Impelementasi Hardware Redundancy Pada Switching Pintu Otomatis Dengan Metode Cold Standby Dan Watchdog Muhammad Rifqi Muzaki; Sabriansyah Rizqika Akbar; Widhi Yahya
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

Electronic devices must have a lifetime limit and may be damaged at any time. A system consisting of several electronic devices will fail if the crucial component is damaged. Therefore, crucial components in a system should be more reliable. To improve system reliability a mechanism such as Hardware Redundancy can be applied. Hardware Redundancy is a mechanism to improve reliability by duplicating important components as backup. There are several types of Hardware Redundancy mechanisms, one of which is Cold Standby Redundancy which uses the unpowered backup concept. The Cold Standby concept is to add a duplicate of an important component that standby without a power supply and will be active when the component is damaged. In this study Cold Standby Redundancy is applied to an automatic door lock system based on Arduino Uno and RFID. An important component of the system is Arduino Uno which acts as a controller in the system. Implementation of cold standby redundancy on this system uses a third party device (Arduino Nano) as the fault detector of main Arduino Uno (master). Through I2C serial communication the master sends keep-alive status periodically to the fault detector as a sign of whether it is still operating or is being damaged. In addition there is a switch device in charge of switching the system control to master or slave. The fault detector sends the trigger to make a switch to the switch device when it detects damage to the master. Based on the results of tests that have been done, system reliability increases after applying the Cold Standby Redundancy mechanism. System reliability value increased by 15.45% for a year operating time.
Pengembangan Sistem Informasi Lembaga Bimbingan Belajar Al-Hasyimi Muhammad Jauhar Fuadi; Retno Indah Rokhmawati; Mochamad Chandra Saputra
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

Lembaga Bimbingan Belajar (LBB) Al-Hasyimi is a private educational institution that providing study guidance in reading the Holy Koran and Iqro' both by private and by group. In managing student's study result, LBB Al-Hasyimi still uses a conventional method. Every mentor has to note their student's study result in the book which called by “Buku Prestasi Siswa”. Then this book would be recapped by secretary once in every month. In the other hand, the mentor had to do checking presence after guiding too. By using information technology, the problem can be simplified by using Lembaga Bimbingan Belajar Al-Hasyimi Information System based on website which developed by using waterfall method. This development method covered requirement analysis, design, implementation and testing. On the requirement analysis produced business process to-be that created based on the result of stakeholder interview and problem analysis. The result of the requirement analysis visualized in use case diagram. The result of the system design produced sequence diagram, class diagram, physical data model, pseudocode algorithm, user interface, and testing design. On its implementation, this system developed by using CodeIgniter framework by applying the Model-View-Controller pattern. The result of Validation Testing on 6 test case got as many as 100% valid. Then the result of User Acceptance Testing (UAT) on some features, there are adding a study result, seeing a study result, seeing a tentor absence, and complaining got average percentage more than 80%. With the result of UAT revealed that Lembaga Bimbingan Belajar Al-Hasyimi Information System already accepted by user.
Implementasi Algoritme Modified K-Nearest Neighbor (MKNN) untuk Diagnosis Penyakit Tanaman Cengkeh Rizaldy Amsyar; Nurul Hidayat; Rizal Setya Perdana
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

Clove plant have high economic value and one of many export commodity of Indonesian plantation product, in Wonosalam region Jombang Regency there are less well groomed clove farm because the owners are not at all the times in the farm, and thus the plant susceptible to disease and reduced yields from the clove harvest. Needed a way to help farmers to know the types of diseases that attack the clove plants, then made a clove plant diagnosis system using the algorithm Modified K - Nearest Neighbor (MKNN). The diagnostic system will provide clove plant disease information based on inputs of observable symptoms of the plant. MKNN algorithm is the development of KNN algorithm by adding calculation process of data training validation and weight voting. Validation calculation aims to overcome the problem of data that deviates on the KNN algorithm in order to avoid bias and weight voting aims to calculate the weight of the data. Accuracy of clove plant diagnosis system using MKNN algorithm is 96.67%.

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