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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 48 Documents
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Search results for , issue "Vol 2 No 6 (2018): Juni 2018" : 48 Documents clear
Implementasi Wireless Sensor Node Sebagai Pendukung Pertanian Modern Berbasis Pemrograman State Machine Rivaldi Wibowo; Sabriansyah Rizqika Akbar; Bayu Priyambadha
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

At this time, the monitoring system conducted by farmers still using manual procedures, namely to check directly to the field. At the time of manual checking can occur error at the time of input data such as writing errors due to the number of data. From these problems, it is necessary that the system periodically checks on the state of the plant. Therefore WSN is used as a means of checking wirelessly to facilitate the monitoring of plants and state machine methods used as a method used in research. In this research used several sensors, among others, temperature sensors, light sensors, and soil sensors. In this research the state machine method is used as a useful method to see the behavior of systems that have been made by researchers. Tests on the system made done as much as 6 times that is ,times the test on the execution of each state, testing the length of transition execution, testing the total state execution time and transition, sensor testing, data delivery testing, and sleep mode test. So the result of the implementation of state machine method successfully done with the system running. In this Research the average results of state testing as much as 10 times the total state station transition is state “diam” 21543.6 microsecond, state “termonitor” 921594.4 microsecond, and “terkirim” 1161218.4 microsecond. Then the results of the tested sensors in accordance with the expected and incoming data in accordance with the display serial monitor. For sleep mode test is not in accordance with the settings that have been done due to a delay factor in the program that affects the of the system becomes longer than the time specified.
Klasifikasi Calon Penerima Bantuan Keluarga Miskin Menggunakan Metode Learning Vector Quantization (LVQ) (Studi Kasus: Daerah Kecamatan Mlandingan, Situbondo) Rio Arifando; Nurul Hidayat; Arief Andy Soebroto
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

In an effort to reduce poverty, the government of Mladingan sub-district, Situbondo provides social funds for society categorized as low class society, the fund is given based on an assessment of several indicators, determined by the government and made to assist the government staff in classifying the families who deserve it, so that the distribution of fund is well-targeted. This study aims to design a system that can classify the society by assessing them as fund beneficiaries or not. Classification method used in this study is Learning Vector Quantization. The data input of the prospective beneficiaries through data transformation process will result as data weight, which is used in the classification process. Weighting data are done by giving such score according to each parameter. The object used in this study is the data collection of the Families in Mlandingan Subdistrict, Situbondo. The family data contain 7 poverty parameters including age, the number of the family members, income, outcome, housing conditions, home ownership status, and educational level. This study uses five test scenarios that resulted a recommendation value of learning rate 0.1, decrement learning rate 0.1, training data as 30%, minimum learning rate 0.01 and maximum number of iterations 2. Accurate results obtained is 98%.
Implementasi Metode Certainty Factor pada Identifikasi Kerusakan Kendaraan Bermotor Roda Dua Gaung Rimba Putra Dirgantara; Suprapto Suprapto; Bayu Rahayudi
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

The purpose of this study is to help motorcycle riders and mechanics to identify the breakdowns of motorcycle based on symptoms. Limited number of experts to repair the motorcycles will spend long time to identify and repair the motorcycles. Hence, this study is done to make an application system to identify the breakdowns of motorcycle with Certainty Factor methods. The evaluation of this study use the testing scenario that compare the value of accuracy from the result of the expert questionnaires with application system. On the test, obtained the value of accuracy that is pretty good with 73,3%. This value proves that this study still have opportunities to be developed even further.
Voting Based Extreme Learning Machine dalam Klasifikasi Computer Network Intrusion Detection Sindy Erika Br Ginting; Agus Wahyu Widodo; Putra Pandu Adikara
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

Intrusion Detection System (IDS) is useful software or system to detect intrusion on computer networks. It works by utilizing artificial intelligence to identify anomalies or signatures from the activity on computer networks. To refine more the IDS, it requires the development of intrusion classification algorithms with high accuracy. Voting based Extreme Learning Machine (ELM) is a new scheme algorithm which updates the Extreme Learning Machine (ELM) in improving ELM classification performance and is known more reliable for many data. In this study, the performance of the V-ELM has been evaluated on the Knowledge Discovery and Data Mining (KDD) Cup 99 dataset to support IDS development. This study showed that V-ELM was produced bad performance when using some data from KDD Cup 99. It was using 1000 training data and 250 testing data from KDD Cup 99 datasets. The data was divided into 3 variants are 40 classes, 5 classes, and 2 classes attack. The parameters which tested are the values of hidden neurons (L), independent training (K), and sensitivity of each intrusion class. This study found that the best accuracy result on independent training (K) was 3 and 100 hidden neurons in 2 attack class data with an accuracy of 72%. The lowest accuracy was obtained on hidden neurons was 100 and independent training (K) was 11 in 40 attack classes with an accuracy of 12%. This result showed that good classification capability in 2 classes and bad classification capability in 40 classes.
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.
Pengembangan Perangkat Lunak Dokumentasi Persuratan Menggunakan Codeigniter Dengan Semantic Web Pada Unit Kerja Inspektorat Jenderal Kemnaker Muhamad Romdoni Rachman Wijaya; Heru Nurwarsito; Denny Sagita Rusdianto
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

Information technology began to be used to build an E-Government based government by applying information technology in its work system to facilitate the work process and service to the community. With the development of information technology in the Government is expected the State Civil Apparatus performance will be faster and efficient. In the work unit of Inspectorate General of the Ministry of Labor, incoming mail that has not been documented electronically and activities of disposition of incoming mail which has been by using manual book led to the process of searching document letters constrained when the archive of incoming mail so much and excessive use of paper very wasted state budget from various ministries/ government agencies. To facilitate the process of searching and tracking the incoming mail flow until the mail is completed, it is necessary to develop mail documentation application at Inspectorate General Ministry of Labor. In this case, the mail documentation application is built using the CodeIgniter framework with the application of semantic web in hopes to simplify the process of searching document letters.
Pengembangan Sistem Visualisasi Access Log untuk Mengetahui Informasi Aktivitas Pengunjung pada Sebuah Website Rani Andriani; Eko Sakti Pramukantoro; Mahendra Data
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

Access log record all requests that processed by the web server. Access log is a file that contains an important line about website visitors. However, access log data is still in the form of raw data so it is difficult to read and analyzed to get activity information of website visitors on a website. In this research, the solution offered is to make a web-based application that can be used as a tool for knowing visitors' activity information on a website using access log data from an apache server. The data of access log will be parsed and the result data of the parsed access log will be saved into the MySQL database. Then this data is filtered by using a specific query in MySQL for later visualized by the application to the form of graphics or tables for further analysis. Based on the results of this study, Access Log Visualizer has been able to parse access logs by using regex and retrieve the access log data from the database by using MySQL query and display the visualization of the data access log, so that this system can process access log data for knowing activity information of website visitors on a website.
Implementasi Algoritma K-Means untuk Klasterisasi Kinerja Akademik Mahasiswa Fajar Nur Rohmat Fauzan Jaya Aziz; Budi Darma Setiawan; Issa Arwani
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

Selection of student acceptance in a college produces abundant data and can be utilized to obtain useful information for the college. In this study, student data taken by the authors are Student ID Number, University Entrance Path, Parent Revenue and Student Achievement Index. Excavation of information on a large data could not be done easily and this can be done with data mining technology. Data mining also known as Knowledge Discovery in Database is an automated process of searching data in a very large memory of data to know patterns by using tools such as association or clustering. By using k-means clustering method, the researcher tries to extract the knowledge which can depict the performance of student achievement at the end of semester and the result of the research indicates that of all cluster quantities inserted, for clusters amounting to 3 (three) has the value of silhouette coefficient closest to the value of = 1, that is with the value of 0.108690751. In addition, parental income does not affect the level of academic performance of students and the academic value of students who enter through the regular path & achievement paths have the value of the highest average GPA. Thus, the faculty can consider to prioritize the acceptance of new students through regular channels & achievement contract.
Pemilihan Kost di Sekitar Universitas Brawijaya Menggunakan Metode Analitycal Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) Putra Aditya Primanda; Edy Santoso; Tri Afirianto
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

For students who study in Universitas Brawijaya they can live in Malang city by various ways that is by buying a house in Malang, living in dormitory, house contract or boarding area around Universitas Brawijaya. Kost is a solution for students who study in Malang as a place to live. But with the number of kost around UB Brawijaya sometimes students will often move the boarding place for several reasons namely the increasingly expensive rental, the convenience of boarding place, the location of boarding away from the University, where the boarding away from where to eat or layout Which is away from the main road. So to cope with this, it is necessary to select the most suitable boarding place. In choosing this boarding place can use the method of Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) to get a good boarding place. From the tests that have been done that the number of criteria is very influential in the ranking results. The highest percentage of matches against 7 criteria were 6 criteria with 8.831% then 5 criteria with 7.999%, 4 criteria with 4.761%, 3 criteria with 3.58%, 2 criteria and 1 criterion with 0%. The tests show that many of the criteria used influence the recommended boarding outcomes based on the number of criteria used.
Sistem Absensi Menggunakan Teknologi Location Based Service (LBS) Muhammad Dimyathi; Edy Santoso; Ratih Kartika Dewi
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

Unichem Candi Indonesia (UCI) is a consumer good company with salt consumption product branded "refina". In the management regulation of PT. UCI there is a procedure attendance hours work hours at 08.00 WIB and come home from work at 16.00 WIB for Monday to Friday, while on Saturday at 08.00 to 14.30 WIB. Currently the Presence Employee attendance process has been using the Fingerprint Presence machine. Every employee in and out of the office without exception marketing personnel must do the Presence. Given this rule, marketing personnel objected. Due to within one business day, marketing personnel can go in and out of the office more than 3 times. The problem that often happens is to forget to do Presence, so that marketing personnel get a reprimand from superiors and penalty sanctions. As a solution to the problems that occur, the need for Presensi applications using Location Based Service technology (LBS). Where this technology becomes efficient and effective when applied to problems in PT.UCI. By using this application, marketing personnel no longer need to do Presence via fingerprint machine, but only need to bring a smartphone device that has been installed this application. This app works based on where the employee is located. When the employee is in coordinate office area then Presence status is enter office, while when the employee is outside the office area Presence status is out of office. Benefits derived from the results of this study is the marketing force no longer need to do Presence through the device fingerprint machine, but simply bring the Android smartphone device that has been installed by this application, so it can be marketing presence in the field.detected Presence status when out of office. In addition, the management can monitor the location

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