cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
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
Pengembangan Sistem Informasi Geografis Untuk Penentuan Tingkat Kenyamanan Rute Bagi Pejalan Kaki Lingkup Kampus Universitas Brawijaya Ahmad Zaky Syihan; Alfi Nur Rusydi; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.485 KB)

Abstract

Brawijaya University is one of the biggest campus located in Malang city. In daily basis, there is a lot of people doing their activities by walking in campus area. From many walking activities, the comfort level of pedestrian routes needs to be considered. But there is no data that can represent the level of comfort in pedestrian routes throughout the University of Brawijaya. To determine the comfort level of pedestrian routes in the entire University of Brawijaya, it needs spatial analysis with the development of geographic information system that can produce information about the comfort level of pedestrian routes in the entire University of Brawijaya. To obtain information about the comfort level of pedestrian routes, data acquisition activities is needed in the form of aerial photography and road networks. The acquired data is then processed using the semi automatic classification method to obtain wide canopied vegetation distribution data, which is a determining factor in the comfort level of pedestrian routes in this study. Then the data will be implemented into the system that can be accessed by pedestrians in Universitas Brawijaya to obtain the information. Geographical information systems are then tested using black box and user acceptance testing. It Obtained 100% black box test results which states that the system can fulfill all the user requirements. In user acceptance testing, the overall result is 83.83% which describes the user can receive the system well in the three criteria tested, namely performance, usability, and accuracy.
Diagnosis Hama Penyakit Tanaman Bawang Merah Menggunakan Algoritma Modified K-Nearest Neighbor (MKNN) Mohamad Yusuf Arrahman; Nurul Hidayat; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.309 KB)

Abstract

Red onion (Allium cepa L.) is a spice vegetable that is quite popular in Indonesia, has high economic value, serves as flavoring, and can be used as a traditional medicine ingredient. . However, obstacles encountered in the process of planting onions, one of the pests and diseases that often lead to crop failure. One method to diagnose diseases of shallot plants can be done with modified k-nearest neighbor (MKNN). The expert system of onion plant disease diagnosis using the k-nearest neighbor (MKNN) modified method can make it easier to detect diseases that attack onions based on symptoms. The k-nearest neighbor (MKNN) modified method is implemented on an expert system inference engine in order to draw conclusions based on existing knowledge on the knowledge base. Results obtained after the system accuracy test of 83.33% indicating that the modified k-nearest neighbor (MKNN) method is suitable for clove plant disease onion.
Analisis Perbandingan Aplikasi Google Maps, Wisepilot, dan Here Wego Dengan Pendekatan User Centered Design (UCD) dan Kaidah Cartography Oki Ari Saputra; Fatwa Ramdani; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.73 KB)

Abstract

Application testing is measured from the user's point of view by highlighting five aspects of testing, which are functionality, effectiveness, efficiency, reliability, usability, and cartography. In the functionality aspect, a function test is performed on each application, on the aspect of efficiency is done to obtain page speed grade in each application that is examined using Pingdom and GTMetrik tools, on the reliability aspect is monitored on each server using the Pingdom tool for 30 day, the usability aspect was evaluated using a questionnaire to find out user satisfaction in each application, and in the aspect of cartography an evaluation of the map in each application was based on cartography rules.This research aims to make a comparison between Google Maps, Here Wego, and Wisepilot applications on Android operating systems as a better alternative that should be used in searching locations on maps and navigation routes through user satisfaction testing. Applications in this test are used in the recommended navigation routes and locations in Malang which requiring several types of testing on each application. For each application is tested and evaluated by five aspects of testing using Web Quality Evaluation Method (WebQEM) method and cartography rules. The writer's analysing and make a comparison of test results that are conducted on each aspect based on the standard assessment categories in each aspect tested. The Google Maps application is superior than other three applications based on four of the five aspects tested: functionality, effectiveness, efficiency, reliability, usability.
Sistem Klasifikasi Aktivitas Manusia Menggunakan Sensor Accelerometer dan Gyroscope dengan Metode K-Nearest Neighbor Berbasis Arduino Fadhilatur Rahmah; Hurriyatul Fitriyah; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (467.475 KB)

Abstract

Human activity recognition technology allows a system to detect simple activities by humans, such as standing, sitting, lying, walking, running and others using a camera or sensor. The camera-based human activity recognition system has a lack of adaptability to light so that the accuracy obtained is not good, while wearable sensor-based systems that use multiple sensors cause discomfort when used and battery life problems. In this study a system can be made that can classify simple activities carried out by humans using the MPU6050 sensor which has an accelerometer and gyroscope sensor and uses the k-Nearest Neighbor classification method. Input from this system is the value of the accelerometer and gyroscope sensor readings sent using the NRF24L01 wireless communication module to Arduino Mega as a device that classifies and displays the classification results in Serial Monitor Arduino IDE. In this study the test was carried out using one sensor and two sensors. From the results of the tests performed, obtained the highest accuracy results of 93.75% for systems that use one sensor with sensor placement on the thighs and 96.25% for systems that use two sensors with sensor placement on the thighs and waist. For testing the computation time of the k-Nearest Neighbor method in classifying human activities, the average time taken was 173.6 milliseconds for classification using one sensor and 353.2 milliseconds for classification using two sensors.
Penerapan Algoritme Genetika untuk Optimasi Penjadwalan Jam Kerja Part-Time Studi Kasus Cafe Bingsoo Malang Yogi Suwandy; Lailil Muflikhah; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.716 KB)

Abstract

Part-Time working hours or often called part-time working hours are a group of workers who alternately replace the other group after the work has ended. Part-time working hours are applied in an agency usually divide it in 3 shifts work, morning shift, day shift and night shift. Not a few students who choose Part-Time work for college while working to fill in the empty time in college because by working they can add pocket money and their experience. A manager or division chairman who plays a role in organizing work schedules should be meticulous in the distribution of employee shifts so that all employees get the same number of working hours. Scheduling is an activity to find the solution of a problem which will result in the optimal schedule of the schedule. Genetic algorithm is a method that has been applied by many researchers to get a solution of the problem scheduling. Genetic Algorithm used can provide accuracy value of 100% with a fitness value of 1 to 9 employees division waiters at Cafe Bingsoo Malang, the tests were performed using some of the best parameter values ​​such as population number 70, number of generation 70, crossover rate 0.6 and mutation rate 0.5 with fitness value obtained at 1.
Optimasi Komposisi Bahan Makanan Atlet Olahraga Menembak dengan Menggunakan Metode Evolution Strategies (ES) Nuraini Anitasari; Dian Eka Ratnawati; Titis Sari Kusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.262 KB)

Abstract

The main energy source in humans to be able to grow and develop to be more optimal obtained from the food consumed. Based on differences in each food composition that has been consumed consisting of carbohydrate content, fat content, protein content, energy and so forth then it is needed an optimal diet for each individual. The role of an optimal diet is very important, especially for athletes in order to perform. Shooting sports is one sports that requires endurance aspect for athletes. In addition to regular exercise, so athletes should also be able to manage the portion and food consumption in order to success. In this research, Evolution Strategies algorithm is implemented to optimize the composition of food for shooting athletes with total food ingredients that are used 125 foods. Then reproduction process in this research using mutation method and selection process using elitism selection. Based on the results of the algorithm parameter test, the best population size was obtained by 30 individuals, the size of best offspring as 7μ, the best generation number of 60 generations and with the best fitness average 0,004904. Meanwhile, based on the trial of case studies conducted 4 times, it is known that the system is able to produce the result of food composition with minimal prices and it is also known that according to the indicator of nutritionist in assessing food consumption, carbohydrate and fat is categorized as sufficient and protein is categorized as good with an average carbohydrate is 90,1%, fat is 98,7% and protein is 105,4%.
Sistem Monitoring Kadar Gas Berbahaya Di Lingkungan Industri Menggunakan Protokol MQTT Sunu Dias Widhi Kurniadi; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.542 KB)

Abstract

Air is an important factor in life, but with the increasing physical development of cities and industrial centers, air quality has changed. With today's rapid development, particularly in the industrial and technological sectors, it increases the disruption to air quality due to emissions from the fuel combustion process. Based on these problems, a system of monitoring of hazardous gas content present in the industrial environment uses MQTT protocol and uses ESP8266. In this system the MQ-7 and MQ-135 sensors aim to detect the intensity of changes of carbon monoxide and nitrogen oxide gas levels and then processed by the Arduino microcontroller until the results of the data will be sent to the Thingsboard to be displayed. The execution time required by the system for data processing is 1.3 seconds and the delivery time to the web averages 1,879 seconds.
Pembangunan Sistem Marketplace Yang Dapat Merekomendasikan Grup Facebook Yang Sesuai Dengan Produk Menggunakan Algoritme Cosine Similarity Ahmad Wildan Mukafi; Achmad Arwan; Denny Sagita Rusdianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (697.892 KB)

Abstract

The rapid development of information technology makes humans creating a new innovation in terms of technology. Marketplace is a result of the current technological advances. Marketplace is a place or a container to do product marketing or service through internet media. Over time the competition between products will increase, therefore it needs an advertising trick which can reach more target buyers who are appropriate towards the products. Nowadays, Facebook's being a social media which is pretty much used. Facebook has features which assessed the grup that be able to help advertising the product in accordance with the target of the product. To solve the problem above, a marketplace system which is already integrated with Facebook is required, by using cosine similarity algorithm then products will comprehend the level of similarity from the grup that have been existed. The results of the need analysis has been done, obtained fourty oe of the functional requirements and one non functional requirements. The test which is conducted in this research is the white box and black box testing. White box testing on eight different operating all getting the 100% valid and in accordance with the requirement analysis has been made. While black box testing that has been done on the fourteen testing with the Equivalence Partitioning method the results are 100% valid. As such the functionality test result can be said to be very good and compliance with the essential analysis
Analisis Perbandingan Kinerja Algoritme Dijkstra, Bellman-Ford, dan Floyd-Warshall Untuk Penentuan Jalur Terpendek Pada Arsitektur Jaringan Software Defined Network Aprillia Arum Pratiwi; Widhi Yahya; Mahendra Data
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.207 KB)

Abstract

Software defined network (SDN) is a centralized and flexible network concept compared to traditional networks that exist today. SDN has been developed in the last few years and has been widely implemented, one of which is routing networks. Routing is the process of finding the communication path used to send packets from the sender to the recipient. The implemented routing algorithm is tasked to determine the shortest paths, namely Dijkstra, Bellman-Ford, and Floyd-Warshall algorithms. The three algorithms will be implemented using the Mininet and Ryu controller emulators. For determining the path required the determination of the link or cost weight. Cost in this study is based on the calculation of the reference bandwidth of 1000 Mbps and the bandwidth link that uses three types of capacity quantities, namely 10 Mbps, 100 Mbps, and 1000 Mbps. Testing is done with parameters, namely validation, convergence time, throughput, recovery time and packet loss. Based on the results of validation, the system runs according to the calculation of the manual calculation of each algorithm. In convergence time testing, Dijkstra was superior with an average of 0.0087 seconds compared to Bellman-ford 0.0094 seconds and Floyd-Warshall 0.02025 seconds. In testing the three throughput algorithms do not have far distinction. Based on recovery time testing, the Floyd-Warshall algorithm has faster recovery time than other algorithms. Based on the testing of packet loss Dijkstra is still superior in handling packet loss when sending.
Pengontrolan Derajat Keasaman (pH) Air Secara Otomatis Pada Kolam Ikan Gurame Menggunakan Metode Fuzzy Mamdani Dimas Guntoro; Gembong Edhi Setiawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (524.163 KB)

Abstract

Water treatment is the main thing that must be considered when gurame fish culture and the degree of acidity plays a very important role for the health of underwater ecosystems, because if the degree of acidity is not available as needed then it can be toxic to fish. Based on these problems, the need for research related to the automation system to control the value of acidity degree in accordance with the needs of gurame fish. In this research there are 2 sensors namely pH meter SEN0161 sensor and Ultrasonic sensor HC-SR04 with arduino microcontroller using Fuzzy Mamdani method. The Fuzzy Mamdani method was chosen to control the acidity of the water according to the needs of the gurame fish by adding as much water as determined from Fuzzy Mamdani calculation as the center point z. From the results of several tests performed known error percentage reading pH meter SEN0161 is 2,569% and the error percent reading Ultrasonic sensor HC-SR04 is equal to 2,992%. In testing the water acidity control system using Fuzzy Mamdani done 10 times, 80% accuracy with average computation time of 0,693 seconds.

Filter by Year

2017 2026


Filter By Issues
All Issue Vol 10 No 13 (2026): Publikasi Khusus Tahun 2026 Vol 10 No 01 (2026): Januari 2026 Vol 10 No 2 (2026): Februari 2026 Vol 9 No 13 (2025): Publikasi Khusus Tahun 2025 Vol 9 No 12 (2025): Desember 2025 Vol 9 No 11 (2025): November 2025 Vol 9 No 10 (2025): Oktober 2025 Vol 9 No 9 (2025): September 2025 Vol 9 No 8 (2025): Agustus 2025 Vol 9 No 7 (2025): Juli 2025 Vol 9 No 6 (2025): Juni 2025 Vol 9 No 5 (2025): Mei 2025 Vol 9 No 4 (2025): April 2025 Vol 9 No 3 (2025): Maret 2025 Vol 9 No 2 (2025): Februari 2025 Vol 9 No 1 (2025): Januari 2025 Vol 8 No 13 (2024): Publikasi Khusus Tahun 2024 Vol 8 No 10 (2024): Oktober 2024 Vol 8 No 9 (2024): September 2024 Vol 8 No 8 (2024): Agustus 2024 Vol 8 No 7 (2024): Juli 2024 Vol 8 No 6 (2024): Juni 2024 Vol 8 No 5 (2024): Mei 2024 Vol 8 No 4 (2024): April 2024 Vol 8 No 3 (2024): Maret 2024 Vol 8 No 2 (2024): Februari 2024 Vol 8 No 1 (2024): Januari 2024 Vol 7 No 13 (2023): Publikasi Khusus Tahun 2023 Vol 7 No 9 (2023): September 2023 Vol 7 No 8 (2023): Agustus 2023 Vol 7 No 7 (2023): Juli 2023 Vol 7 No 6 (2023): Juni 2023 Vol 7 No 5 (2023): Mei 2023 Vol 7 No 4 (2023): April 2023 Vol 7 No 3 (2023): Maret 2023 Vol 7 No 2 (2023): Februari 2023 Vol 7 No 1 (2023): Januari 2023 Vol 7 No 14 (2023): Antrian Publikasi Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022 Vol 6 No 12 (2022): Desember 2022 Vol 6 No 11 (2022): November 2022 Vol 6 No 10 (2022): Oktober 2022 Vol 6 No 9 (2022): September 2022 Vol 6 No 8 (2022): Agustus 2022 Vol 6 No 7 (2022): Juli 2022 Vol 6 No 6 (2022): Juni 2022 Vol 6 No 5 (2022): Mei 2022 Vol 6 No 4 (2022): April 2022 Vol 6 No 3 (2022): Mei 2022 Vol 6 No 2 (2022): Februari 2022 Vol 6 No 1 (2022): Januari 2022 Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021 Vol 5 No 12 (2021): Desember 2021 Vol 5 No 11 (2021): November 2021 Vol 5 No 10 (2021): Oktober 2021 Vol 5 No 9 (2021): September 2021 Vol 5 No 8 (2021): Agustus 2021 Vol 5 No 7 (2021): Juli 2021 Vol 5 No 6 (2021): Juni 2021 Vol 5 No 5 (2021): Mei 2021 Vol 5 No 4 (2021): April 2021 Vol 5 No 3 (2021): Maret 2021 Vol 5 No 2 (2021): Februari 2021 Vol 5 No 1 (2021): Januari 2021 Vol 5 No 13 (2021) Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020 Vol 4 No 12 (2020): Desember 2020 Vol 4 No 11 (2020): November 2020 Vol 4 No 10 (2020): Oktober 2020 Vol 4 No 9 (2020): September 2020 Vol 4 No 8 (2020): Agustus 2020 Vol 4 No 7 (2020): Juli 2020 Vol 4 No 6 (2020): Juni 2020 Vol 4 No 5 (2020): Mei 2020 Vol 4 No 4 (2020): April 2020 Vol 4 No 3 (2020): Maret 2020 Vol 4 No 2 (2020): Februari 2020 Vol 4 No 1 (2020): Januari 2020 Vol 3 No 12 (2019): Desember 2019 Vol 3 No 11 (2019): November 2019 Vol 3 No 10 (2019): Oktober 2019 Vol 3 No 9 (2019): September 2019 Vol 3 No 8 (2019): Agustus 2019 Vol 3 No 7 (2019): Juli 2019 Vol 3 No 6 (2019): Juni 2019 Vol 3 No 5 (2019): Mei 2019 Vol 3 No 4 (2019): April 2019 Vol 3 No 3 (2019): Maret 2019 Vol 3 No 2 (2019): Februari 2019 Vol 3 No 1 (2019): Januari 2019 Vol 2 No 12 (2018): Desember 2018 Vol 2 No 11 (2018): November 2018 Vol 2 No 10 (2018): Oktober 2018 Vol 2 No 9 (2018): September 2018 Vol 2 No 8 (2018): Agustus 2018 Vol 2 No 7 (2018): Juli 2018 Vol 2 No 6 (2018): Juni 2018 Vol 2 No 5 (2018): Mei 2018 Vol 2 No 4 (2018): April 2018 Vol 2 No 3 (2018): Maret 2018 Vol 2 No 2 (2018): Februari 2018 Vol 2 No 1 (2018): Januari 2018 Vol 2 No 8 (2018) Vol 2 No 6 (2018) Vol 1 No 12 (2017): Desember 2017 Vol 1 No 11 (2017): November 2017 Vol 1 No 10 (2017): Oktober 2017 Vol 1 No 9 (2017): September 2017 Vol 1 No 8 (2017): Agustus 2017 Vol 1 No 7 (2017): Juli 2017 Vol 1 No 6 (2017): Juni 2017 Vol 1 No 5 (2017): Mei 2017 Vol 1 No 4 (2017): April 2017 Vol 1 No 3 (2017): Maret 2017 Vol 1 No 2 (2017): Februari 2017 Vol 1 No 1 (2017): Januari 2017 More Issue