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
Identifikasi Penyakit Pada Kambing Menggunakan Metode Fuzzy K-Nearest Neighbor (F-KNN) Basuki Rahmat Rialdi; Nurul Hidayat; Suprapto Suprapto
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 (858.649 KB)

Abstract

Goat (Capra Aegragus Hircus) is one of the animals raised by humans. However, goat cattle business will experience constraints when the goats are infected with the disease. In addition to causing harm, the disease can also reduce public interest to goat breeding. So the system was made to identify the disease in goat farms, so the breeder could know the type of disease that attacked and handled it appropriately. The method used is k-nearest neighbor and fuzzy. The first step of this method includes trainer data that contains symptoms of the disease. Then the classification uses k-nearest neighbor. After the implementation and testing, obtained the highest accuracy of 96% at K which is worth 9. From these results can be concluded that the results of the system and experts are aligned and have positive accuracy
Analisis Perbandingan Kinerja Protokol AOMDV, DSDV, Dan ZRP Sebagai Protokol Routing Pada Mobile Ad-Hoc Network (MANET) Fatkhurrozi Fatkhurrozi; Edita Rosana Widasari; Adhitya Bhawiyuga
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 (707.941 KB)

Abstract

Natural disaster is an event that can cause damage to communication network's infrastructure in a region. Therefore, a network technology that is able to run independently without the infrastructure of communication and internet networks; such as BTS, router, or access point, is required. The technology is called Mobile Ad-Hoc Network (MANET). MANET is a wireless network consisting of a set of mobile nodes that communicate in a multi-hop manner inside a dynamic topology without depending on a supporting infrastructure. MANET routing protocols are generally classified into three types, such as reactive, proactive, and hybrid routing protocols. These three types of routing protocols have different algorithms in route search methods. Among the three types of routing protocols, there are AOMDV, DSDV, and ZRP. This research was propsed to compare the performance of three different types of routing protocols, such as AOMDV, DSDV, and ZRP when simulated in different scopes. Simulations were performed using Network Simulator 2 and measured by four parameters such as throughput, end-to-end delay, packet delivery ratio, and normalized routing load. Based on the tests that were conducted in different range area and number of mobile nodes scenarios, it can be concluded that AOMDV has the highest average packet delivery ratio and throughput value. On the other hand, it was found that the best average value was obtained by DSDV protocol during the measurement of end-to-end delay and normalized routing load.
Analisis Faktor-Faktor Yang Memengaruhi Loyalitas Pelanggan Dalam Melakukan Transaksi Online Pada E-Commerce XYZ Aldila Amalia Saufika; Ari Kusyanti; Andi Reza Perdanakusuma
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 (741.195 KB)

Abstract

One of the advantages of the internet is the existence of online business. E-commerce XYZ is one of the new e-commerce in Indonesia. The challenge as a new entrant is to build costumer trust. Issues related to e-commerce make an online business need to determine the level of costumer trust and satisfaction so that customer as loyal. This study aims to determine the relationship between costumer trust, satisfaction, and loyalty. Data were collected using questionnaire and distributed online. From 120 usable data obtained, data were tested using regression linear analysiss. The findings of this study show that perceived reputation, user interface quality, information quality, perceived security, and perceived privacy are positively related to trust while perceived size has no effect on trust. Futhermore, costumer trust is positively related to satisfaction. The finding of this study also shows that customer loyalty is influenced by customer trust and satisfaction.
Pengembangan Sistem Pendeteksi Kehadiran Pegawai Berbasis Fingerprint Wifi Rizky Haryandi Rahman; Adhitya Bhawiyuga; Primantara Hari Trisnawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (884.8 KB)

Abstract

Checking the employees attendance is an important matter for every institution or company to see their own employee performance. Each instituion or company must have their own way to check the employees attendance, such as using a paper, smartphone application, RFID (Radio Frequency Identification), and biomentric technique. Those kind of ways are really making the company easier to check the employees attendance, but there is a flaw, for example is on the fingerprinting system when using the fingerprint, sometimes the fingerprint can not be detected by the system, moreover an employee should reach a specific location to make a presence. This sometimes make the employees to procrastinate or late to make a presence. As a result, the employees often forget and do not make a presence. From the problem, this reasearch is made to make a presence system for employees using a wifi fingerprint, wifi fingerprint means a MAC address which is caught by microtic router when a smartphone is connected. System will read the MAC address and interface of the router mikrotik through the API for RouterOS, then save it into the database, and compare it with the MAC address already in the database, so when it happens, an employee will be considered as present and the location of an employee will be known based on a place where a smartphone is connected. The testing result of functionality and performance shows the all functions on system run well and the time that needed by a system to read from a router has an average below of one second and the time for system to detect the presence including the employees location is about five seconds.
Pengembangan Sistem Informasi Manajemen Donasi dan Relawan Bagi Komunitas Sosial Gusti Rachman Nico; Satrio Agung Wicaksono; Fajar Pradana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (760.276 KB)

Abstract

Turun Tangan Malang is one of the social communities that exist in Malang. Focus fields raised today is the issue of social education and community. Based on the results of interviews, this community has a problem on its own activities. The first is the problem of the difficulty of seeking funds. Ineffectiveness of fundraising led to the infusion of funds be insufficient and not quite cover the cost of activities is large enough. The second problem is the community has never existed for accountability activities, causing the community cannot convince donors to donate. The last problem is the number of volunteers who are not active, consequently each activity has a lack of volunteers because of uneven information. Based on these problems, it can be given a solution to develop a management information system that has a function to be able to solve the problem. The method used in system development is Evolutionary Prototyping where the method is chosen because it can minimize the lack of analysis of the system needs to be developed and ensure the system built according to customer desires. The result of this research is resulted 32 functional requirement and 1 non-functional requirement obtained from 2 iteration. From the results of testing a black box, it brings the results of 100% valid from 32 tested features. Based on compatibility testing, the tested system is capable of running well on any browser except on Internet Explorer 8 and 9. Based on UAT testing containing 6 questionnaires, got acceptance on all points on each questionnaire.
Algoritme Genetika Untuk Optimasi K-Means Clustering Dalam Pengelompokan Data Tsunami Dwi Anggraeni Kuntjoro; Budi Darma Setiawan; Rizal Setya Perdana
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 (413.687 KB)

Abstract

Tsunami is one of the most deadly disaster causing damage and loss of life and wealth. It happens in a sudden and unpredictable. Lack of awareness often leads to a great damage and worsening the impact of tsunami itself. This research implements genetic algorithm optimization into K-Means method for classify tsunami data. By optimazing the initial cluster center it will used as an input on K-Means method. The method result more optimal preference than the conventional K-Means method since the central point is optimized by genetic algorithm. It was proved on this research where fitness value resulted from Silhouette Coefficient to observe how suitable data with cluster. Chromosome representation used here is real code to initialize centroid value. Extended intermediate crossover applied for crossover method. For mutation method, random mutation is run here. Also for selection method it uses elitism selection. Based on testing result, the most optimum parameter accomplished are 50 population, 70 generation, and Cr =0.9 and Mr =0.1 combination with fitness value around 0.995934
Analisis Sentimen Review Barang Berbahasa Indonesia Dengan Metode Support Vector Machine Dan Query Expansion Dimas Joko Haryanto; Lailil Muflikhah; Mochammad Ali Fauzi
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 (1032.129 KB)

Abstract

Shopping an item in online store is a common activity happening to the community now. The rise of time makes someone chooses to shop online rather than having to travel to the store to get what they need. Reviews of each items in an online store can be useful to see how the buyer's previous feedback through a comment. The comments categorized as positive comments or negative comments. Therefore, to overcome the problem then used sentiment analysis reviews of items using Support Vector Machine and Query Expansion method. This research uses 400 data comments that is divided into two comment, that is positive and negative. The method used is Support Vector Macine polynomial kernel with degree two and Query Expansion. Query Expansion is used to expand a word that has synonyms that are not contained in the training data. The final test result yields an average of accuracy is 96,25% with parameter value of learning rate = 0,001, value of lambda = 0,1, value of complexity = 0,01 and maximum iteration is 50. Accuracy of Support Vector Machine and Query Expansion method is better than just using Support Vector Machine method which only gets 94,75% of accuracy.
Perhitungan Biaya Pembangunan Sistem Informasi Pariwisata Kota Sawahlunto Menggunakan Metode COCOMO II Prasetya Muhamad Aditya; Aditya Rachmadi; Satrio Agung Wicaksono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (990.524 KB)

Abstract

Cost calculation is one of the decisive factors in making software. A small cost estimation will result in low quality produced software, otherwise a large cost estimation will result in a waste of expenditure. Both of these factors will potentially result in software project failure. There are several techniques and software cost estimation models that are classified into algorithmic and non algorithmic. Each has advantages and disadvantages, but there is no best techniques for all software development conditions. One of the most popular algorithmic methods for estimating software development costs is COCOMO II. COCOMO II proves to be a flexible model and has precise accuracy to use in cost estimates. Therefore, research conducted on the software house Jasa Web Malang uses COCOMO II method, especially post architecture submodel in estimating the cost of one of their projects. The goal is that this method can be accepted and applied to the software house. The result of this research is the estimated cost used by using COCOMO II method is smaller than the cost incurred by Jasa Web Malang and the cost estimation method using COCOMO II with post architecture submodel can be applied to software house Jasa Web Malang if the software house get flexible clients in waiting for the decision of the value of the system because to get the price of the System by calculating using COCOMO II method takes longer time than using guesstimate method.
Analisis Perbandingan Performa Algoritme Voronoi-Based Continuous K Nearest Neighbor Dan Dijkstra Dalam Mengelola Data Berukuran Besar (Studi Kasus : Malang Raya) Oddy Aulia Rahman Nugroho; Fatwa Ramdani; Fitra A. Bachtiar
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 (1764.721 KB)

Abstract

One of the criteria in applying mobile navigation is the ability of mobile device to continuously monitor point of access from user, but in monitoring the point or the object always changes due to the movement of user. The changes occurring are known as split nodes. There is a method used to manage split nodes that is KNN search, but the performance is still not satisfactory. Another proposed method is the Voronoi Continuous K Nearest Neighbor (VCKNN) algorithm that uses the Voronoi diagram to help manage split nodes. The use of the VCKNN algorithm is supported by Dijkstra's algorithm in searching for split nodes within the Voronoi polygon. In this research will be done comparison between VCKNN and Dijkstra algorithm in managing split nodes. This is done to get algorithms that have the best performance in managing data on segmentation, runtime and split nodes. This research will take a study area of ​​Malang Raya. Selection of Malang Raya as a study area due to unstructured road network structure neat, so it can know the performance of the proposed algorithm. From this research, the results obtained using VCKNN algorithm occurs the performance improvement compared to Dijkstra's algorithm. Increased performance occurs due to the decrease in the number of split nodes produced. The decrease of split nodes that occur using the VCKNN algorithm based on the use of administrative boundaries sub-district as the interest point resulted in the decrease of split nodes by 92.4%. With the result of this research for Malang Raya road network condition, VCKNN algorithm yield satisfying result.
Perancangan Arsitektur, Pembangunan Web-GIS, dan Analisis Kesesuaian Lahan Pertanian Tanaman Padi Menggunakan Metode GIS-MCDA di Kota Batu Amaliah Khoirun Nisyak; Fatwa Ramdani; Suprapto Suprapto
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 (982.019 KB)

Abstract

Agriculture still plays an important role in the economy in the Batu City. In addition to horticultural plants, the Batu City is also a producer of rice plant though not many areas planted with rice. According to the results of the interviews from the Department of Agriculture and Forestry of Batu City, within one year, the land planted with rice only once or twice that should be done 3 times. It is because the farmers do not know the land is actually appropriate or not for rice plant. Department of Agriculture and Forestry of Batu City currently does not yet have data related to whether the land is actually appropriate or not for planting rice. The data is required, so it can be used as a reference in managing agricultural land. To get the results of the land suitability, this study will apply the methods of GIS-MCDA (Multi Criteria Decision Analysis), which used the 9 criterias that affect the suitability of the land and the results will be applied in Geographic Information Systems (GIS) based on the web. GIS based on the web (Web-GIS) is built according to the architectural design. Web-GIS architecture consists of 3 layers, i.e. the Client Layer, Service Layer, and Layer Support. Based on the results of land suitability analysis, this research get 4 results of land suitability class i.e., S1, S2, S3, and NS. Total area of suitability class S1 is 739.42 ha with percentage 3.7%, total area of suitability class S2 is 7375.91 ha with percentage 37%, total area of suitability class S3 is 3706.20 ha with percentage 18.6%, and total area of suitability class NS is 8120.02 ha with percentage 40.7%.

Page 51 of 685 | Total Record : 6850


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