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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 6,480 Documents
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Rekomendasi Pemilihan Properti Kota Malang Menggunakan Metode AHP-SAW Syafruddin Agustian Putra; Nurul Hidayat; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The increasing of population number in Malang City triggered property developers to answer people's needs by developing and supplying assorted facilities of property. Many criterias should be considered by prospective buyers in selecting a property, for example: price, number of bedrooms, bathrooms, garages, building area, and land area. The numerous considerations referring to some specific criteria lead prospective buyers to take a difficult decision. Regarding to this problem, there are several methods able to resolve the complicacy of buyers in taking decision, which are performing combination of Multi Criteria Decision Making (MCDM) method by using Analytic Hierarchy Process (AHP) as a way to calculate weight of each determined criterion, and Simple Additive Weighting (SAW) as a method used in ranking the criteria. In functional test, the result of 100% represents that the system runs very well as designed. And from the accuracy test, the result is 80.80%. In sum, the AHP-SAW method combination is compatible to be used in selecting property in Malang City
Implementasi Algoritme Fuzzy K-Nearest Neighbor untuk Penentuan Lulus Tepat Waktu (Studi Kasus : Fakultas Ilmu Komputer Universitas Brawijaya) Andhika Satria Pria Anugerah; Indriati Indriati; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Along with the increasing interest of studying in the collage, therefore the data of student graduation which is filed will keep increasing. However, those data could be in a very large amount if it is processed manually, therefore it is needed to apply the student graduation classification which able to classify the graduation data based on the determined parameters. There are some ways to classify the object that have been developed, one of them is Fuzzy K-Nearest Neighbor. Fuzzy K-Nearest Neighbor is one of the methods which is used to classify the object by calculating the membership degree in each class. The experiment of Fuzzy K-Nearest Neighbor is done toward the problem of time of student graduation which is categorized into graduate on time and graduate out of time. In this experiment, Fuzzy K-Nearest Neighbor is used to identify the students based on the achievement index that they have got. Based on the experiment results, Fuzzy K-Nearest Neighbor is able to get an accuracy score around 98%. This accuracy is from the given weight of the membership in each output class. This is able to minimize the doubtful in determining the output class
Sistem Deteksi Dini Bencana Tanah Longsor Berbasis 3D WebGIS Deny Prasetia Taruma Wardana; Fatwa Ramdani; Fajar Pradana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kota Batu is threated by landslide disaster, based on data from BPBD Kota Batu in the period of January 1, 2016 to July 31, 2016, there have been 39 landslide events, with the value of material loss reached Rp. 2,836,000,000,00. Early detection system of landslide disaster that has been installed BPBD Kota Batu currently can not work optimally. As the result the sistem is not appropriated. To overcome these problems, this research proposes a solution of early landslide detection system based on 3D landslide WebGIS with real time monitoring system and spatial data visualization, in order to anticipate landslide disaster. Stage of software development using prototype model to guarantee software quality according to requirement of BPBD Kota Batu. Implementation phase is done by extraction of DEM data, then processing spatial data result of onscreen digitation BALITBANGDA Kota Batu, extraction of survey result data, building digitation, building 3D Map, and doing 3D Map visualization into WebGIS. The test method uses unit testing and sensor accuracy. Unit testing results show that all components of the program unit have the desired output results, so that all features can run well, while the sensor accuracy test results show a high degree of accuracy, so the data published by the system is valid.
Penerapan Bayesian Network Pada Sistem Pakar Ekspresi Wajah dan Bahasa Tubuh Melalui Pengamatan Indra Penglihatan Pada Foto Muhammad Adiputra; Rekyan Regasari Mardi Putri; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Facial expression and body language is a non-verbal language that can describe the real emotion in a person. Movement on facial expressions and body language shown by humans not only contains. Other than that, for some cases it needs a combination of facial expressions with body language to know the hidden meaning in it. The expert system of facial expression and body language is the application of probabilistic theory and graph theory on the bayesian network method. The purpose of making this expert system is to identify the meaning of emotion that a person shows through facial expression and body language. There are 7 expressions of feelings and emotions that becomes the system output, that are: lie, honest, angry, sad, fear, happy, and suprised. Based on testing of variation data training, it was found that the amount of data training and variation of it also affected the accuracy of the system result. In addition, it is also known that more data training used and more varied, it will increase the level of accuracy. While based on the results of the test using the f-measure method conducted on 5 cases containing 28 images, where each picture shows facial expression and body language of 5 different people, obtained the average of 80.47% precision, 86.34% recall, and an accuracy level for f-measure is 80.31%.
Analisa Kebutuhan dan Perancangan Sistem Informasi Produksi Dinas Peternakan dan Kesehatan Hewan Kabupaten Malang Berbasis Teknologi Service Oriented Architecture Agum Septian Gumelar; Mochammad Chandra Saputra; Niken Hendrakusma Wardani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A design system is a fundamental phase of system development. Department of Animal Husbandry and Animal Health Malang Regency is one of the government agencies are a source of information that covers all areas of the animal husbandry. Production department is one important area that has information about the development of livestock, feed and cultivation in poor districts. Event reporting to be one of the core activities in this department. Often a confusion in the reporting data and inefficiencies of time having to do a recap of the data twice. Sharing data is also often a constraint resulting in less up to date information. Given an SOA-based system, it can maximize the activity of reporting in this production field. Thus study was conducted to analyze the requirements, designing the system, ensure consistency, and ensure it meets several criteria SOA. This study begins with data collection process using observation, interview, and literature study to obtain preliminary data of the user's needs. The next step is to do an analysis and design using Ripple methodology to produce requirements definition and artifacts design, then do the testing process design by using Consistency Analysis to determine the consistency of the design and the Service Litmus Test to determine if the design had to meet several criteria SOA. Testing consistency defining requirements will result in a value of RCI (Requirement Consistency Index) and satisfies the equation on business alignment and reusable on a litmus test. Requirement analysis generates use case as the definition of the functional system requirements and supplementary requirements as the definition of non-functional system requirements. Designing the system generates artifact design, include: user interface sketch, communication diagram, class diagram, sequence diagram, and database schema Testing consistency defining requirements resulted in RCI value of 100%, which means defining the needs of the system is 100% consistent. Testing litmus test resulted in the design meets the business alignment and meets the criteria reusable.
Pengembangan Sistem Haptic untuk Memegang Objek (Gripper) Dengan Komunikasi Wifi pada Mobile Robot Muhammad Eraz Zarkasih; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile robot with a gripper can help its user to take the remote objects or hold a harmful object. In this case the human perception will be very helpful because humans do not directly interact with the object, hence Haptic can be implemented to simulate the sense of touch. Because mobile robot can be operated remotely by its users then the transmission of the value from the force sensor (Force Sensitive Resistor) and controlling the robot is done wirelessly using WiFi and Android Devices. Based on the implementation, FSR (Force Sensitive Resistor) is used as a sensor to acquire pressure data obtained between the object and gripper. The system use vibration on the Android Device as an indicator of the tightness of the gripper. This system also implements a gripper termination system which automatically terminates gripper on a certain threshold value. From the test results with different objects (Banana, Tomato, Lime) for 10 experiments each for threshold value 50, 100, 150, and 200. To hold the banana, the highest system success is 60% at threshold 100. For Tomato, the highest system success is 100% at 100 and 150 thresholds. For Lime, the highest percentage of system success is 100% at 100, 150 and 200 thresholds. This difference is occurred due to the texture and density in different types of objects.
Pengelompokan Biji Wijen Menggunakan Metode ACOKHM Berdasarkan Sifat Warna Cangkang Biji Rakhmadina Noviyanti; Rekyan Regasari Mardi Putri; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wijen merupakan salah satu tumbuhan berpotensial karena menghasilkan minyak yang berguna dalam sektor industri. Identifikasi kualitas dalam tanaman wijen ditentukan dengan warna cangkang biji wijen. Sehingga perlu dilakukan persilangan benih wijen untuk menghasilkan wijen dengan kualitas baik. Hasil dari persilangan tersebut menghasilkan warna biji wijen yang beragam dan hampir mirip sehingga perlu dilakukan pengelompokan berdasarkan kedekatan warna. Beberapa penelitian terdahulu telah mengelompokan wijen secara kualitatif dengan pengamatan langsung dan kuantitatif menggunakan metode tertentu. Penelitian metode sebelumnya menggunakan 3 metode kuantitatif yaitu IWOKM, PSO-K-Means dan GA-KMEANS. Pada penelitian tersebut menggunakan data hasil pengukuran dengan alat chromameter yang menghasilkan data dengan atribut L* a* b*. Pada penelitian ini menggunakan data serupa dengan mengusulkan metode lain yaitu ACOKHM yang merupakan gabungan metode clustering (K-Harmonic Means) dan optimasi (Ant Colony Optimization). Hasil pengelompokan metode ACOKHM akan dibandingkan dengan metode terdahulu. Berdasarkan hasil pengelompokan penelitian ini akan diuji nilai fitness dan nilai kekompakan menunjukkan bahwa metode ACOKHM memiliki performa yang baik dengan nilai fitness yang mencapai 10,16899 dan nilai kekompakan kelompok mencapai 0,770765. Hasil pengelompokan data wijen juga mirip dengan penelitian sebelumnya dengan C1 : C2 adalah 233 : 58. Sehingga metode pada penelitian ini cocok dan memiliki performa yang baik dalam mengelompokan data wijen.
Implementasi Low Power Wireless Sensor Network Untuk Pengukuran Suhu Berbasis NRF Dengan Penjadwalan Pengiriman Data Ahmad Faris Adhnaufal; Sabriansyah Rizqika Akbar; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 6 (2017): Juni 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The needs of an extended time of observation monitoring in a remote location without suffice energy resource to accommodate has become the challenge of the future development of wireless sensor node. Wireless sensor node can deploy more than 1 unit in the remote area. So there must be a method to arrange a schedule of data delivery from the node to base station. So this research conducts to configure a time scheduling for data sending and sleepy low power mode to more than 1 node to make it compatible without affecting the system. Researcher applying a low power mode that using the Jeelib library that have been approved to lowering current usage in Arduino microcontroller for almost 14.5 mA at sensor reading phase, 11.2 mA at data sending phase, 14.3 mA at idle phase. Then the next part is to configure low power mode with compatible Time Division Multiple Access (TDMA) so the node can have a fix schedule about their phase. After the research, the result came that the clock time in the node can synchronized with the base station using Timing-sync Protocol for Network (TPSN) algorithm method in 30 seconds average of synchronization process. The node gets a fix schedule for data sending phase for each and low power mode kick in the microcontroller to sleep until next data sending phase without affecting the system works.
Seleksi Anggota Paduan Suara Menggunakan Metode Fuzzy Tsukamoto dan Simple Additive Weighting (SAW) Genjah Amartha Gora; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The choir is a term refers to a music ensemble consisting of singers and music collaborated into a single ensemble. The Jeuvana vocalista was first established in 1990 with three members. Many people all the time interest in the choir, the achievements earned in the choir every year . Jeuvana vocalista studio is increasingly more interested from year, then they make the selection for those interested in being a member of a particular choir team, because one of the more importance the quality of each person to be able to join a team of choir. At the moment there is no application used to assist the selection of Studio Jeuvana vocalista in choosing members of the Choir. The solving problems that exist in jeuvana vocalista studio, applied to choosing choir members using Fuzzy Tsukamoto and Simple Additive Weighted method. The Fuzzy Tsukamoto method to help simplify the selection. The output is a recommended exercise that should be followed by three months. Simple Additive Weighting to determine the rank of dedicated singers in the field of drag votes. Testing Correlation program in each year 2015, 2016, 2017 of 0.98, 0.94 and 0.87. From the results of the program and coach decisions are in line and have a positive and equally strong correlation value.
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.

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