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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 6,850 Documents
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Analisis User Experience Aplikasi Mobile Facebook (Studi Kasus pada Mahasiswa Universitas Brawijaya) Rio Donaroe Munthe; Komang Candra Brata; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In 2003, Steve Jobs criticized common understanding of user experience design (UXD). Instead of the thought that a design is something we can see and fell, he proposed that design is not just what it looks and feels like, it's how it works. Frank Guo simplified the concept by dividing into four elements: value, adoptability, desirability, & usability (VADU). The UX concept is adopted by various social media platforms, including Facebook. The Facebook mobile app has repeatedly changed to improve the user experience. This study identified the UX concept on Facebook. It can be an example for developers who want to develop similar applications. Questions for respondents are arranged based on 4 fundamental variables UX (VADU) in Likert Scale. The research method used is the validity & reliability test. The questionnaire results are elaborated by descriptive analysis based on UX variables. In the end, to know the most important element of UX is used "YES & NO" method. Based on the results, the features are important to increase the value. In adoptability, the ease to access is a concern. An attractive visual design is the main indicator in the desirability. And, the easy-to-learn is the key thing for the usability.
Implementasi Metode Profile Matching untuk Seleksi Penerimaan Anggota Asisten Praktikum (Studi Kasus : Laboratorium Pembelajaran Kelompok Praktikum Basis Data FILKOM) Fran's Dwi Saputra Atmanagara; Rekyan Regasari Mardi Putri; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Practicum is a learning method that is attempted to learners to better understand about the related learning materials. With practicum activities are expected learners can be more exploration about the material being studied. One of the factors so that learners can follow practicum activities well is with the guidance of a practicum assistant who has human resources (HR) quality. The selection process at the time of admission of a practicum assistant member is needed to find qualified human resources assistant assistant. The acceptance of a practicum assistant member is not expected to be subjective so that the quality of the assistant laboratory assistant obtained can be in line with expectations, so that no one will be harmed and more easily perform the task as a member of the practicum assistant. Profile Matching is one of the most suitable decision-making methods for selecting membership acceptance according to the required criteria. Profile Matching is a decision-making mechanism by assuming that there is an ideal predictor variable level that must be owned by an individual, not a minimum level that must be met or skipped. The result of system accuracy calculation by implementation Profile Matching method shows an accuracy of 86.6% in the recruitment stages of new members and 83.3% in the division placement stages. The performance of a designed system can be used to make a member accept decision with output in the form of ranking based on the highest end value to the lowest final value.
Analisis Faktor-Faktor yang Memengaruhi Sikap Pengguna Twitter Tentang Pemberian Informasi Pribadi dengan Menggunakan Metode Structural Equation Modeling (SEM) Mega Noviany; Ari Kusyanti; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Twitter is one of social media that is liked by many people in Indonesia because twitter can make it easier for the user to interact with other user through a computer or mobile. Currently many users who give too much information on social media because they do not care about the privacy and security on the social media used. In addition party from twitter stated the existence of data theft in the form of the personal information of millions of Twitter users in the whole world. User attitude when providing personal information on twitter certainly influenced by several factors. This research aims to determine the factors that can affect the attitude of Twitter users toward the gift of personal information. The sample used in this research as much as 241 Twitter users toward the gift of personal information with aged 16-25 years in Indonesia. Data analysis methods in this research using Structural Equation Modeling. The results of this research shows the factors that can affect the attitude of Twitter users toward the gift of personal information is trust in provider. The results of this research also shows the existence of the suitability of the models in analyzing this research because the value of the Goodness of Fit in accordance with the criteria.
Penerapan Ciri Geometric pada Deteksi dan Verifikasi Tanda Tangan Offline Wenny Ramadha Putri; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 5 (2018): Mei 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Various attempts at securing personal information have been done in both traditional and biometric ways. And among the various ways to protect information, signatures are the most widely used in identifying and verifying personal information. Therefore, efforts should be made to be able to recognize whether the signature is genuine or false by performing detection and verification. In performing the detection process used steps consisting of preprocessing, geometric extraction features, and classification with the modified-K approach method of Nearest Neighbors as a way of verifying signatures. The preprocessing process consists of filtering, binarization, thinning, cropping, and resizing. Then extraction process geometric cirri. Before performing the extraction, zoning on the image with 3 different techniques are vertical, horizontal, and zoning 4 parts. After that is done classification for signature verification process. The result is by testing the zoning technique to determine the value of FRR and FAR of each technique. The smallest FRR value obtained is 54% and the smallest FAR value is 7%. The value is obtained by applying the vertical zoning technique. This shows that the system has a good ability in performing the verification process against fake signatures. While in the process of verification of the original signature the ability of the system is still low. So in accordance with the results obtained, to improve the ability of the system can be improved on the process of preprocessing the image.
Estimasi Biaya Perangkat Lunak Menggunakan Metode Function Point (Studi Kasus: CV Aptikma Indonesia) Mohammad Rizqi Zamzami Alnobeta; Mochamad Chandra Saputra; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

When the process of developing software with different size and functional become so fast, it makes the problem in cost estimation and effort estimation higher. Research explains the scope of Software A and Software B on CV Aptikma Indonesia using the approach of the Work Breakdown Structure as well as scheduling using Gantt Chart and the results of the estimated costs of using the method of Function Point. The mathematical calculation on software A, using the method of Function Point produce the effort a number of 56 for five months with a total cost amounting to Rp 610.000.000, 00. While the software B produce an estimated effort a number of nine people for six months with a total cost amounting to Rp 59.350.000, 00. Analysis of the comparison between the method of Function Point and Guesstimate on software A and software B can be the subject of consideration CV Aptikma Indonesia in resolving the problem.
Rancang Bangun Sistem Sortir Buah Apel Menggunakan Sensor Warna Dan Sensor Suhu Mohammad Fauzin Amin; Sabriansyah Rizqika Akbar; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of science and technology makes the quality of human life is growing, the processing industry and agricultural estates are also growing rapidly. One of the stages in the processing of agricultural products and plantations is the selection of products based on quality, such as fruit maturity level. The process of selecting agricultural products and plantations is highly dependent on the human perception of the fruit color composition factor. Apple is one type of fruit that is very popular and is often consumed by the community, both from the young to the old. Apples also contain vitamins needed by the human body, including vitamins A, B1, and C. So, it can be said that apples are a very popular fruit because the benefits are very abundant. But apple lovers are often confused in terms of choosing apples that have ripe maturity. Sometimes apple entrepreneurs still use the manual way to distinguish the maturity of apples, while the way that is done by the tenega man is often inaccurate and different in its determination. The difference is due to differences in perceptions on everyone. Therefore built a tool that can make the selection of apples based on quality, especially color automatically. So that will be able to produce a more accurate grouping of apples, which further simplify the packaging process and also save time, effort and cost. Design This tool uses RGD LDR and DHT11 as sensors to read the maturity of apples. RTC 1307 is used as a timer to send data from sensor, arduino nano as microcontroller and NRF24L01 as a data transmission device between two transmitter nodes and receiving node.
Sistem Diagnosis Penyakit Sapi Menggunakan Metode Neighbor Weighted K-Nearest Neighbor Berbasis Android Idham Triatmaja; Nurul Hidayat; Moch Cholil Mahfud
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Problems in raising cattle is infection of disease. Infection of diseases that arise in each cow can be different so that required accuracy in making the diagnosis (Pambudi, 2010). Cattle ranchers are sometimes difficult to know cow disease due to the limited knowledge of breeders of cattle disease. The difficulty of seeking medical personnel such as veterinarians becomes a problem for farmers because they can not quickly handle cows affected by the disease. When cattle are infected with disease, experts / experts such as veterinarians are very necessary in overcoming it. Based on the explanation of the problem it will be designed an system by combining the object of cow disease research and the NWK-NN method. The title of the study was "System of Cow Disease Diagnosis with Neighbors Weighted K-Nearest Neighbors Method based on Android". There are 11 types of cow disease including Abscess, Ascariasis, Bloat, Bovine Ephemeral Fever (BEF), Endometritis, Entritis, Mastitis, Omphalitis, Pneumonia, Rentensio, and Scabies. This cow disease diagnosis system has the main process of calculating Euclidean distance, determining the data of a number k of neighborhoods, determining the membership value of each data for each class determining the membership value of each class and determining the largest membership value. The variable values ​​of k=5, 10, 15, 20 and 25 have an average accuracy of 97.56% while for the value of k>25 has a decreasing average accuracy. The stable average accuracy is k with values ​​5, 10, 15, 20 and 25 with an accuracy of 97.56%.
Optimasi Fuzzy Time Series Menggunakan Algoritme Particle Swarm Optimization untuk Peramalan Nilai Pembayaran Penjaminan Kredit Macet Ratna Candra Ika; Budi Darma Setiawan; Marji Marji
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

Any problems related to bad credits or problem loans in Indonesia are not constant, there can be any decrease or increase in each month. So, it can cause on uncertain provision of fund budget for underwriting payment of credit claims by credit underwriting institutions. Therefore, it is necessary for a system that can predict on value of underwriting payment on bad credit claims as a consideration to determine nominal value to be provided in the following months by the credit underwriting institutions. In this research, the prediction is conducted using Fuzzy Time Series method, because the data used are prepared in a consecutive time from month to month. To create better prediction, it is optimized using Particle Swarm Optimization (PSO) algorithm, because the PSO algorithm has high decentralization with simple implementation so that it can solve any optimization problems in an efficient manner. The error level is calculated using Root Mean Squared Error (RMSE). Based on the testing, the best solution has an average cost value by Rp. 159215 with its program operation time by 13,2 second. The solution is created with maximum iteration by 250, the population by 100, length of particle dimension by 250, value of cognitive coefficient variable (c1) is equal with 1 and the social coefficient variable (c2) is equal with 1.5, as well as inertia weight value (w) is equal with 0,6. So that it can be concluded that this research can be applied for prediction on value of underwriting payment on bad credit.
Klasifikasi Penyakit Typhoid Fever (TF) dan Dengue Haemorhagic Fever (DHF) dengan Menerapkan Algoritma Decision Tree C4.5 (Studi Kasus : Rumah Sakit Wilujeng Kediri) Ulva Febriana; Muhammad Tanzil Furqon; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fever is a rise in body temperature is higher than usual. Fever is not a disease, but the initial symptoms of a person affected by the disease. There are many diseases caused by fever, such as Typhoid Fever and Dengue Haemorragic Fever. Both diseases when observed clinically will be difficult to distinguish them. Because the two diseases almost have the same symptoms and if there is an error in diagnosing it will cause a fatal thing in the patient. Typhoid Fever disease is a fever caused by Salmonella Typhi bacteria that spread throughout the body and Haemorragic Fever Dengue fever caused by Aedes Aegypti mosquito bites. To overcome this, then made a classification system of disease diagnosis Typhoid Fever and Dengue Haemorragic Fever based on symptoms possessed by patients by applying desicion tree algorithm C4.5. Accuracy obtained by Typhoid Fever (TF) and Dengue Haemorhagic Fever (DHF) classification system by k-folds cross validation test showed the highest accuracy value on 5-fold cross validation with accuracy of 91,875% using 32 data test and Training data of 128 data. The results of the 4th test on 5-fold cross validation test resulted in the highest accuracy of 97%. While the analysis by conducting 16-fold cross validation test of the test data of 10 data and training data of 150 data, obtained the result of the test value of 100% on the 2nd, 3rd, 4th, 6th, The 9th, the 11th, the 12th and the 16th. Although the 100% accuracy value obtained in this test is numerous, the average accuracy of the 16-fold cross validation test is still below the average score of accuracy obtained by testing 5-fold cross validation.
Implementasi Algoritma Genetika Untuk Penjadwalan Customer Service (Studi Kasus: Biro Perjalanan Kangoroo) Chusnah Puteri Damayanti; Rekyan Regasari Mardi Putri; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 6 (2017): Juni 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Due to the high demand of public transport, travel agency must be ready to serve the citizen. Travel need to be ready to serve the customer; called customer service. Customer service should provide information that is precise, accurate and fast to customers. At Travel Kangaroo which owns more than 300 fleet, has two locations namely central office and branches as well as long operating hours, a responsive customer service needed to serve the customers There are various rules that must be fulfilled in making the schedule of customer service too. Thus, in this study scheduling problems solved using genetic algorithms. Genetic algorithms can solve a complex problem as well as it has wide scope. Through the examination, it was obtained the best parameters that produce the most optimal fitness value with a population size of 110, 110 and comparison generation size crossover rate and mutation rate of 0.7: 0.3. By using these parameters, scheduling customer service have optimal results, although there are violations that occur with shorter computation time compared with the manual.

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