cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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 : -
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
 63   64   65   66   67 
Implementasi Sistem Monitoring Polusi Udara Berdasarkan Indeks Standar Pencemaran Udara Dengan Pemodelan Finite State Machine Renal Prahardis; Dahnial Syauqy; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1270.021 KB)

Abstract

Pollution is a problem that until now still can not be solved. This problem is caused by the number of users of motor vehicles that cause pollution. From these problems need a system that can determine the air quality that can immediately alert the user through the smartphone application when the condition of the air is not healthy. It is expected that with this research, people will be more concerned about their health. This system uses the Finite State Machine method (FSM) which aims to apply the working principle of the system using 3 things, namely State, Event, Action. Based on testing that has been done correlation value of sensor readings MQ2 with output voltage 94.45%, MQ7 sensor of 94.98, MQ136 sensor of 95.79. Then for the sensor DHT22 has an average error of 2.68%. In addition, the communication distance NRF can communicate at a maximum distance of 50 meters, and distance connectivity with WiFi ESP with a maximum distance of 160 meters. For data reception time, the fastest time is 1.13 seconds. Then the system in applying the Finite State Machine modeling has been successful both in the application of the Main Device and Hub Device with a percentage of success of 100%
Implementasi Metode Dempster-Shafer untuk Mendiagnosa Penyakit Tanaman Padi Syailendra Orthega; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1218.502 KB)

Abstract

The rice plant disease often resulting in growth of rice plant becomes compromised, and make the rice production to fail. The incidence of disease on rice comes from bacteria, fungi, viruses, and other than that of nutrient deficiencies also include diseases. Diseases of the plants also have a major influence on growth. Diseased plant growth is usually disturbed, changed into a dwarf and some leaf are changing color, for example, the leaves turn yellow, or dry out. In research this time, the system was developed using Dempster-Shafer method as rice plant disease diagnosis.The collection of data in this study using a study literature, interview and observation methods.The results of this research is a system to diagnose diseases of the rice plant using Demspter-Shafer method that includes a variety of symptoms, causes, solutions and results of diagnosis the based of knowledge of experts or experts in the field of agriculture. Of the test case that have been conducted, the results of testing the accuracy of 90% indicating that the application is functioning properly in accordance with the method of Dempster-Shafer
Evaluasi Biaya Pengembangan Perangkat Lunak Dengan Menggunakan Metode Extended Use Case Point Dan Use Case Size Point Farinda Ristanti; Admaja Dwi Herlambang; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1343.503 KB)

Abstract

In calculating the cost estimation of project, software house doesn't have any standards, and suggested in every construction project refers to the execution of a structured on the Work Breakdown Structure (WBS). This research lay's out used WBS and scheduling using Gantt Chart, as well as the calculation of the estimated costs of using metode Extended Use Case Point and Use Case Size Point. Data collection technique was done by interviewed and deployment assessment sheet for developer and software observation, then the result will be used as material to make use case diagram and use case scenario for calculation of Extended Use Case Point and Use Case Size Point. Extended Use Case Point estimated effort 25 people during 118,1 hours and the total estimated cost was Rp 70.252.030,00. While Use Case Size Point produce the effort 25 people during 91,2 hours and the total estimated cost is Rp 56.747.500,00. From the comparison of the two methods, the calculation of cost estimation using the Use Case Size Point method is recommended, because it has a smaller accuracy than the method of Extended Use Case Point, which is 3,1%.
Analisis Dan Desain Proses Bisnis Penanganan Perkara Hukum Menggunakan Konsep Vertikal Abstraksi Pada Lembaga Pengkajian Dan Konsultan Badan Hukum (LPKBH) Al-Baihaqy Ahmad Baihaqy; Aditya Rachmadi; Nanang Yudi Setyawam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.168 KB)

Abstract

LPKBH Al-Baihaqy is one of the legal aid agencies in Indonesia located in Surabaya. From the interview result to LPKBH Al-Baihaqy Director, that client handling activity does not have Standard Operational Procedure (SOP) which become standard in carrying out case handling activity. This causes a problem of 6 out of 10 clients not consulting consultants, but the client directly contacts the lawyer LPKBH Al-Baihaqy. The ineffectiveness of each of the tasks and responsibilities as a whole led to a lot of misunderstandings in communication between clients, lawyers, consultants, and admins. So LPKBH Al-Baihaqy requires business process documentation to overcome these problems.This research aims to analyze and model the current business process (as-is) handling of legal cases on LPKBH Al-Baihaqy. The result of this research is modeling business process using BPMN standard. Modeling is done based on vertical analysis of abstraction, functional decomposition and RACI Chart mapping. The simulation of the business process model is done with all three levels: Process Validation, Time Analysis and Resource Analysis. The resulting modeling will be used as a SOP that can be recommended and agreed upon by all parties LPKBH Al-Baihaqy.
Perancangan Perangkat Pengendali Navigasi AR Drone Quadcopter Berbasis Hand Gesture dengan Metode Complementary Filter Syarif Hidayatullah; Gembong Edhi Setyawan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1201.807 KB)

Abstract

Quadcopter is a type of Unmanned Aerial Vehicle (UAV) which widely used in various fields of life. Navigation control is a very important thing to know while using quadcopter. Navigation control is a way to set the direction of quadcopter movement when flying. Remote control can be used to control the direction of quadcopter. But, using the remote control is required specific ability for the user to set the direction of quadcopter movement. Natural User Interface (NUI) is a new way to interact with a system. NUI made human easier to interact with the system. Because NUI using natural input such as the movement of the human body. In this research built a wearable device which can detect hand gesture and control the movement of quadcopter. The device applies complementary filter method to reduce noise when detecting angle transformation when user doing hand gesture. Based on the tests that had been done, this system got succes on each test of hand gesture. Delay in this system generates when the user doing hand gesture until the quadcopter move is 0.67 seconds.
Implementasi Pervasive Service Discovery Protocol pada Rumah Cerdas Berbasis NRF24L01 Dwi Aris Suprayogi; Sabriansyah Rizqika Akbar; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (803.562 KB)

Abstract

Smart home is one of wireless technology development. Smart home system makes devices in the home can be connected each other, so can make activity easier. One of wireless communication module which can be applied in smart home system is nRF24L01. The necessary of protocol communication and devices configuration can be said that it is not easy being a obstacle for smart home developing. Pervasive service discovery protocol method can be a solution for solving that problem. By using this method, the users doesn't need to do difficult configuration, software will search hardware and users can access service which is offered by that devices immediately. This research applies pervasive service discovery protocol method in smart home by using nRF24L01 communication module. The system is made in order to sensor node can communication as pervasive by using master node. Pervasive communication which is mentioned is a automatic addressing by system. Master node which is coordinator node will give different address to every sensor node. Based on trial which is done for 10 trial times, time needed for one sensor node to be connected with master node is 1011 ms, while time needed for two sensor nodes to be connected with master node simultaneously have average times 1011 ms and 1123.2 ms. The result of fungtional system experiment indicate that the user can monitoring and controlling device by serial monitor in master node
Klasifikasi Konten Pengaduan Pada Website BAKOHUMAS (Badan Koordinasi Hubungan Masyarakat) Dengan Metode Naive Bayes Classifier Rois Yanuar Rahman Wahyudi; Nanang Yudi Setiawan; Fitra Abdurrachmad Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1131.926 KB)

Abstract

Website BAKOHUMAS KOMINFO east java is a website that serves as an intermediary for community with government agencies. Where on BAKOHUMAS website there are feature such as news, there is also sharing events that will be held by government agencies. In addition there are also feature for community to be able convey complaints against the performance of a government agency. Complaints from these communities will be distributed by KOMINFO to the responsible agencies. However, the admin must check wether the intended agency already has a match with the content of the complaint. KOMINFO need system to classify complaint content automatically so KOMINFO can save time in delivering community complaints to the appropriate agencies. The method that can be used to build this system is text mining. One method of text mining is the naive bayes classifier. Naive bayes classifier will calculate the weight of words from previously entered data train. The feasibility of this method is tested with ROC to find out the precision, recall, and F-measure of the system classification. Testing result are precision 80,5%, recall 80%, and F-measure 79,9%.
Implementasi Metode Iterative Dichotomizer Tree (ID3) Untuk Diagnosis Penyakit Pada Tanaman Bawang Merah Eric Aji Panji Kurniawan; Nurul Hidayat; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.211 KB)

Abstract

Early detection can minimize the risk of crop failure and can be the determinant of the strategic control efforts.The detection that existed so far is still done manually, and knowledge of disease and pest of onion plant still lacking . The number of plant disease pests of onion is also quite a lot and make enough trouble for farmer detect that attacks. The utilization of the expert system detection process becomes easier and faster. Farmer can detect pest and plant disease early and independently as well. On the research of this kind of disease pest that can be detected as many as five pests diseases using methods of Iterative dichotomezer 3 (ID3) with 23 input from users of symptoms. The method is used to analyze the data of pest and plant disease of onion crops where as the result of system accuracy test between the detection and the result of Iterative dichotomezer 3 (ID3) method calculation has the accuracy level of 80% which use 20 data training and 20 data test.
Pengembangan Aplikasi Health Communication Board Berbasis Kendali Pergerakan Linear HEMOCS (Head Movement Control System) Ivan Putera Pratama; Herman Tolle; Hanifah Muslimah Az-Zahra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 7 (2017): Juli 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.736 KB)

Abstract

Head Movement Control System (HEMOCS) is a method which utilizes head movements to control objects that exist in a system. In medical treatment cases, Health Communication Board (HCB) acts as a solution that is commonly used by doctors to patients in helping them deliver their desired information. But the solution is apparently not applicable in patients who are experiencing hand physical limitations. Therefore, we propose the development of a similar system with HCB implemented on an iOS mobile device platform which are controlled using the user's head movement. The system will combine the use of mobile devices that implement augmented reality (AR) technology with a Head-Mounted Display (HMD). Head movement types that are recognized by the system including left, right, up, and down head movements. These movements used as a control for user to interact with the system. The results of usability testing has been conducted on five respondents indicated that this application has an average percentage of user satisfaction index of 74.8%, which shows that the use of application provide a satisfactory result for the user.
Identifikasi Penyakit Gagal Ginjal Menggunakan Metode Neighbor Weighted K-Nearest Neighbor (NWKNN) Azizul Hanifah Hadi; Dian Eka Ratnawati; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (664.785 KB)

Abstract

Kidney disease can be caused by several factors such as hypertension, uric acid levels, creatinine levels, diabetes, and many others. From that factors, we know about the level of kidney disease risk. Some people are unaware, lazy and indifferent about health, especially on kidney disease because of the long process and complicated. According to the Indonesian Renal Registry, in 2014 patients with kidney disease in Indonesia reach 12,770 inhabitants. Therefore, we need a system that can detect or identify the kidney disease. In this research, we will identify the kidney disease using Neighbor Weighted K-Nearest Neighbor (NWKNN) method. This method is similar to the KNN method but the differentiates are in the weighting process in each identification class. Identification class in this study decided in two part, ckd or exposed to kidney disease and notckd or not affected kidney disease. The results of this study indicate that the NWKNN method can identify kidney disease when the data are 150 data and the test data are 50 data with K = 2 and E = 2 and accuracy level is 88%.

Page 65 of 685 | Total Record : 6850

 63   64   65   66   67 

Filter by Year

2017 2026


Reset
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