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 125 Documents
 2   3   4   5   6 
Search results for , issue "Vol 3 No 5 (2019): Mei 2019" : 125 Documents clear
Klasifikasi Penyakit Kulit Kucing menggunakan Metode Support Vector Machine Yuwilda Wilantikasari; Imam Cholisoddin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.748 KB)

Abstract

Cats are one of the most popular pets in the world. However, health is a matter of concern in the nurturing of cats. Indonesia has a relatively high humidity of air, hence parasites and fungi can multiply and spread which could cause skin diseases. The scarce knowledge of cat owners about cat skin disease and some symptoms that have similarities to various types of cat skin disease are difficult to identify. With these problems, an intelligent system that can classify cat skin diseases based on symptoms is proposed. This intelligent system also aims to help medical teams especially in the field of veterinary medicine in providing a diagnosis of cat skin diseases. Support Vector Machine method can be applied to skin disease classification problems using a limited dataset of 240 with 14 parameter. This study uses five classes of classes: scabies, cat flea, abscesses, dermatitis, and fungi. SVM performances gave an accuracy of 98.745% with parameter value on sequential training SVM, , y = 0.01, C = 10, = 0.01, iteration = 100 and the ratio data of 90%:10%.
Optimasi Fuzzy Time Series Untuk Prediksi Jumlah Produksi SAGA Leather Fashion Menggunakan Metode Algoritme Genetika Aditya Chandra Nurhakim; Budi Darma Setiawan; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (878.904 KB)

Abstract

Leather wallets are an item that has a lot of interest nowadays, but because the process of makingproducts handmade and the price of raw materials is increasingly expensive, so making wallets andother leather-based goods has a higher price value, which makes the producers have decreasedorders. Therefore, an effort is needed to optimize the remaining raw materials used by predicting thenumber of items to be produced in the following month. The prediction method used to solve theproblem in predicting the amount of production is fuzzy time series, which is then optimized using thegenetic algorithm method. From the results of these studies, it is expected that the predicted resultscan help producers in optimize the remaining raw materials in the production process. In this study,the best individual from genetic algorithm on wallet products produce a RMSE (Root Mean SquareError) value of 5.24611658 with an accuracy rate of 96.44%, where the RMSE value is smaller thanthe test without optimization which results in a RMSE value of 7.20507068 with an accuracy of95.06%.
Evaluasi Critical Success Factors Pada Implementasi Sistem Informasi Supply Chain Management (ALISTA) Menggunakan Metode Dematel Pada PT. Telkom Akses Malang Nina Dian Kusumawardani; Yusi Tyroni Mursityo; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (965.135 KB)

Abstract

Supply Chain Information System in PT. Telkom Akses or known as ALISTA is a website-based information system that helps PT. Telkom Akses to manage its supply chain. Nevertheless, practically, PT. Telkom Akses especially in Malang have many obstacles within the implementation. This study aims to evaluate CSF in implementation of ALISTA. The speakers in this study consisted of 5 stakeholders in ALISTA who are the IT Support staff, Team Leader Operational, Team Leader Procurement, Team Leader Finance and General Manager. The method used in this study is DEMATEL method. The calculation result using the DEMATEL method shows several factors that have the highest degree of prominence, namely communicating effectively (CSF001) with value of 0.643, managing relationships (CSF002) with value of 0.563 and align vision and build plans (CSF005) with value of 0.556. There are also factors that have a large influence (degree of relation) on other factors, namely taking top management responsiveness (CSF004) with value of 0.177, align vision and build plans (CSF005) with value of 0.110 and communicate effectively (CSF001) with value of 0.037. Factors with high importance and still not well implemented, such as CSF001, CSF004 and CSF005 need to be considered more optimally to achieve 80% success in implementing ALISTA.
Pengembangan Sistem Point Of Sale Berbasis Web Pada Edd's Waffle Untuk Mendukung Penjualan Restaurant Said Atharillah Alifka Alhabsyi; Fajar Pradana; Fitra A. Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1359.186 KB)

Abstract

Culinary business is a business that is available in every region both on a small and large scale. Edd's Waffle, is a restaurant located in Pekanbaru with variant price of food and beverages that become popular among teenagers. Nowadays, Edd's Waffle uses a standard cash register, the Cash Register Sharp XE-A102 to support sales transactions. This standard cash register leaves a lot of problems in terms of sales development due to its ability to only be able to print sales receipts and provide financial reports in X-reports and Z-reports containers. To solve this problem, a point of sale system was developed to support Edd's Waffle both in terms of sales and information optimization. This point of sale system provides key features such as adding transactions, observing sales transaction history and sales progress charts, estimating revenue predictions, and identifying sales trends that contain the lists of products and best-selling product combinations. In term to optimize current data, this system utilizes 2 algorithms that contained in data mining techniques. The first algorithm is Holt Exponential Smoothing to predict Edd's Waffle's income. The selection of this algorithm is because the existing pattern of data movement is dynamic, which tends to change and is not bound by certain variables. Whereas the second algorithm is Apriori, to analyze the trends in every sold product, so that it produces information to get the combination of potential products to be paired. This system is built on web platforms. This system has been tested using unit testing and integration testing using the Whitebox method and validation testing using the Blackbox method. Beside of that, usability testing is measured using the System Usability Scale method, which the final score is 87.5 (acceptable).
Deteksi Plagiarisme pada Artikel Berita Berbahasa Indonesia menggunakan BM25 Dina Dahniawati; Indriati Indriati; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.728 KB)

Abstract

One of the cases that had tarnished the world of journalism was the plagiarism that had been carried out by a journalist related to the news articles he wrote. Plagiarism was not given strict observation, so that the reuse of all news articles could be carried out freely in the past. But as time goes by, news agencies are no longer able to ignore the case of plagiarism, so detection of plagiarism is very important to implement. The method used to detect plagiarism in this study is BM25. The process of calculating plagiarism using BM25 begins with text preprocessing, searches for term frequency value, inverse document frequency, weighting using BM25, then calculating the percentage of plagiarism. Testing is done by changing the threshold value by 75%, 50%, and 25%. Then the results of plagiarism calculations using BM25 will be compared with the results of cosine similarity. The average results from BM25 are closer to the threshold with a difference of 6.12%, 9.77%, and 10.01%. These results prove that BM25 works better than cosine similarity which has a difference of 14.25%, 26.43% and 32.36% of the threshold. The average value of precision from BM25 for each threshold is 0.87, 0.80, and 0.63.
Klasifikasi Dokumen pada Laporan Kepolisian dengan Menggunakan Metode BM25 dan Improved K-Nearest Neighbor (IKNN) Ardhimas Ilham Bagus Pranata; Indriati Indriati; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.617 KB)

Abstract

The National Police of the Republic of Indonesia is one of the law enforcers in the Unitary State of the Republic of Indonesia. One of the tasks of the Indonesian Police is to provide services to the community. Accusation of crime is one form of service to the community offered by the Police. Crime can happen to anyone no matter an employee, a student or others. The stage after the report of a crime is received by the police is the issuance of investigation. However, within one month the police had difficulty classifying every police report that have been accepted especially Polres Kota Malang. Therefore a system for helping the police to classified a accusation of crime into three cases are persecution, stealing, and fraud is needed. Process in this study is by doing a pre-processing text which the next stage is counting the weight of tf, df, and idf and continue to classification. In this study classification do by using BM25 and Improved K-Nearest Neighbor Methods (IKNN). The results of the k-fold cross validation test, the highest average value of precision=0,953373, recall=0,931382, f-measure=0,938122 and accuracy=0,956795 at the value of k = 15.
Analisis Pengaruh Kualitas Iklan Media Sosial Youtube Terhadap Loyalitas Konsumen Pada Iklan Ramayana Department Store Regita Cahyani Pramesti; Yusi Tyroni Mursityo; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.584 KB)

Abstract

Youtube is one of a social media platform to conduct promotions. In this research, Ramayana Department Store uses Youtube as a marketing tool through their interesting adveritsements that caught a lot of Youtube users' attention. The objective of this research is to discover the impact of social media promotions against the loyalty of consumers. Data collection is conducted against 120 respondents that meets the criteria; in which the respondents of this research are Youtube users who have watched Ramayana Department Store's advertisements and have purchased a transaction at least once in all of Ramayana Department Store's outlets all over Indonesia. After the data is acquired, there will be further analysis using multiple linear regression. The analysis for this research will be done by using a SPSS statistic software. The result shows that the variables of advantageous campaign, popular content, relevant content, and frequently update content indicates significant impact against dependent variable that is consumers' loyalty. However, the variable of varous platform and offers application has no significant influence against the dependent variable that is consumers' loyalty.
Pencarian Teks pada Terjemahan Ayat Al-Qur'an dengan Menggunakan TF-RF dan Bray-Curtis Distance Inas Istiqlaliyyah; Yuita Arum Sari; Moch. Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.229 KB)

Abstract

Qur'an verses search applications have been developed over time due to the significance of Qur'an itself which contains information for the Muslims to be used as a guideline for life. The existence of Qur'an verses search applications can ease Muslims in finding the relevant verse in accordance with the query entered. One of the existing applications is Cari Ayat. Despite having existed for quite some time, however, there still a drawback on its search feature where it cannot display the verses that are relevant to the query when users enter more than two words, making this application system lacks in performance when displaying the relevant verse. In addressing this issue, this research uses the term of weighing and distance metrics. The process begins with carrying out pre-processing of the text after which weighing will be performed into the terms resulting from pre-processing by using the TF-RF and Bray-Curtis distance to measure the distance between the document and the query. As many as 50 query used in the testing process. The test results of k-rank value variety indicate that k-rank 5 produces the best MAP value up to 60.36%, which is higher than those of k-rank 10, 15 and 20. The test results achieved by performing the dataset in which the process of cleaning, weighting term TF-RF, and Bray-Curtis distance has been carried out beforehand, may slightly increase the MAP value on the k-rank 5 by 61.80%. Furthermore, the test results using the Kappa Statistic based on the agreement of the two experts, account the value of kappa by 0.8774 which is considered as almost perfect. Based on these results, it can be inferred that TF-RF and Bray-Curtis distance can be utilized to find the relevant texts in the translation of Qur'an verse.
Analisis Penerimaan Implementasi Smart Classroom Berdasarkan Perspektif Pengguna di Fakultas Pertanian Universitas Brawijaya dengan Menggunakan Technology Acceptance Model (TAM) Termodifikasi Erwina Nur Amalina; Aditya Rachmadi; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (741.264 KB)

Abstract

In its implementation, Smart Classroom in the Faculty of Agriculture, Universitas Brawijaya is still relatively new and there are still complaints from students or lecturers as users. Evaluation needs to be done so that it gets recommendations for improvements to improve Smart Classroom acceptance. This study uses a modified Technology Acceptance Model (TAM) using four variables, namely perceived ease of use, perceived usefulness, behavior intention to use, actual system to use. These variables were examined to describe user acceptance of Smart Classroom with descriptive statistical analysis. Data retrieval is done using offline questionnaire instruments and interviews. The population in this study were Agriculture Faculty students who used Smart Classroom with a sample of 32. The results showed that the variables perceived ease of use (76,70%), perceived usefulness (77,76%), behavioral intention to use (81,30%), the actual system to use (80,80%) belongs to the high category. From the results of the study, recommendations for improvements were made to improve Smart Classroom acceptance.
Pengembangan Aplikasi Pemesanan Tiket Travel Berbasis Web dengan Optimasi Jalur Penjemputan Penumpang (Studi Kasus: Beruang Travel) Della Fauziah; Fajar Pradana; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.334 KB)

Abstract

The progress of the development of technology, especially the Web today, can make competition in the business world increase. In the business world, many companies engaged in transportation services are expected to become a travel business. Management of travel business requires fast customer service, so this business requires the right web information technology to help improve the quality of its service. This information technology optimization strategy for time efficiency is needed to optimize pickup route selection. The Djikstra algorithm is needed to perform calculations to get passenger pickup results based on the closest distance. This travel ticket booking application was developed using the waterfall method where at the defining requirement used an open interview technique. Then at the implementation stage use the MySQL database and the PHP language with the CodeIgniter framework. This functionality tester of this travel ticket booking application, uses unit and integration testing that produce valid values in testing a unit and components that work in the system. In addition, validation testing is also carried out with 100% valid results. While testing non-functional requirements this application uses compatibility testing with the result that there are 2 critical issues in 2 different browsers.

Page 4 of 13 | Total Record : 125

 2   3   4   5   6 

Filter by Year

2019 2019


Reset
Filter By Issues
All Issue Vol 9 No 13 (2025): Publikasi Khusus Tahun 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