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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 dan Perancangan Sistem Informasi Rekam Medis Poli Gigi (Studi Kasus : Puskesmas Sumbersari Kecamatan Saradan Kabupaten Madiun) Dzurriyatul Iflahah; Ismiarta Aknuranda; Nanang Yudi Setiawan
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

Community health centers(Puskesmas) is one of the most important health services in Indonesia. Puskesmas is a Regional Technical Implementation Unit District / City that have a responsible for organizing health development in a work area. Puskesmas Sumbersari has 4 poly, from these poly, only dentist which have not yet medical record information system. The recording of the patient's medical records is still using manual system by recording the diagnosis / complaint and treatment on the patient's medical record card. With manual medical records archiving is often occurred of damage or loss of patient medical record card, duration of search time and the manufacture of medical record card, and increase the possibility of repetition of data when moving patient's register data from register book to Microsoft Excel. To resolve these problems, a computerized patient-based medical record information system is required to improve the quality of Puskesmas service to patients and to helping doctors in managing medical records data of dental patient of Puskesmas Sumbersari. The purpose of this research is to modeling the business process, analyze the system requirements and design specifications, designing the system interface, and evaluate the results of the requirements specification and design. In the making of analysis and design of information systems, researchers use the method of Object Oriented Analysis and Design which mean in the process of analysis and design using modeling language in the form of Unified Modeling Language. After doing the analysis and design, researcher has to do the evaluation of consistency design in the form of Requirements Configuration Structure and Decision table.
Analisis Penerimaan Pengguna Aplikasi Mobile UC Browser Menggunakan Model Unified Theory of Acceptance and Use of Technology (UTAUT) dan Task Technology Fit (TTF) Atiyyah Lia Hijriyati; Niken Hendrakusma Wardani; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 9 (2017): September 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

UC Browser as a service provider of mobile browser has a market share of 28.51% in the domestic market that drove it into the most popular mobile browser. Many groups have done review and testing of the UC Browser showed mixed results. Some user complained about several problems in UC Browser. This impacts on the decrease of UC Browser monthly page view in 2016. Therefore it is necessary to do research on the acceptance of users to find out what factors affect the usage of UC Browser. This research combine Task Technology Fit (TTF) and Unified Theory of Acceptance and Use of Technology (UTAUT) with construct Attitude in order to know the user acceptance of the UC Browser. Data collection was done using online questionnaires. The collected data was then analyzed using Partial Least Square (PLS). The results show that behavior intention along with task technology fit have positive effect on use behavior. The research model can only explain 54.9% of the variance in the formation of UC Browser usage behavior. Therefore, it is necessary to develop the research model so that the prediction accuracy of the model variants increased.
Prediksi Tingkat Keuntungan Usaha Peternakan Itik Alabio Petelur menggunakan Jaringan Syaraf Tiruan Backpropagation (Kasus di Kabupaten Hulu Sungai Utara Kalimantan Selatan) Muhammad Ihsan Diputra; Candra Dewi; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Predicting profits in ducks farming business is very hard to do. That's because in alabio duck agribusiness system have subsystems that can effect other subsystems. If the subsystems don't have optimal value it can make a bad impact for profits in business. To overcome this problem, this study using backpropagation artificial neural network to predict profit in alabio duck eggs business. This study using backpropagation algorithm because this algorithm often used for forecasting. The subsystems or input features used in this study are number of adult ducks, shrinkage of duck seed price, total food price, shrinkage of cages price, labor costs, and the cost of vaccines and medicine. The system in this study use net profits of duck eggs business as output. In this study, testing used to get the optimal value for each parameter. The values of each parameters are learning rate 0.8, 17 hidden neuron, MAPE learn threshold 10%, and 90% total data training. The best MAPE for forecasting result is 25,7852%.
Diagnosis Penyakit Kulit Pada Kucing Menggunakan Metode Modified K-Nearest Neighbor Made Bela Pramesthi Putri; Edy Santoso; Marji Marji
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

Cats that are often act as pets to humans is not spared from diseases attack. Skin disease is a common disease suffered by these mammals, if not handled quickly and accurately then the disease can quickly escalate to interfere cat's activity or can even cause death. Early symptoms of skin diseases are sometimes not so visible and not so disturbing, therefore sometimes the cat evem looks fine so the owner is not so concerned. Very limited knowledge of the owner about skin diseases experienced by cats, as well as the many similarities of the symptoms of various skin diseases that are difficult to be identified by the common people became the main reason for the author to conduct research on the diagnosis of skin diseases in cats using the Modified K-Nearest Neighbor method. The Modified K-Nearest Neighbor Method is used for the classification of new data which class is not known based on the nearest k value. The dataset used in this study consisted of 240 cat skin disease data with 14 parameters and 5 different kind of skin diseases, the output of this system in the form of disease diagnosis. The highest accuracy that was obtained based on various testings is 100% at the value of k = 1. From the results of the accuracy, it can be concluded that the Modified K-Nearest Neighbor method can be implemented into the skin disease diagnosis system in cats.
Perbandingan Kinerja RouterOS Mikrotik dan Zeroshell pada Mekanisme Load Balancing Serta Failover Ardy Frayogi; Widhi Yahya; Raden Arief Setiawan
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

The Internet becomes an important need in society. The problem that is often faced by the public to access the internet is a slow connection and unstable internet service provider. Multiconnection is one solution that can be used to make access to the Internet network for better. Multiconnnection requires a technique called load balancing and failover. It is used to maximize throughput so that access to the internet becomes more stable and faster. Implementing load balancing and failover requires routerOS to be able to control incoming packets. RouterOS that features load balancing and failover are Mikrotik and Zeroshell. In this study will apply and compare the performance of load balancing and failover that is applied to router Mikrotik and Zeroshell. The load balancing method used in Mikrotik is nth and in Zeroshell uses round-robin method. Based on the results of the study concluded both routerOS can run very well with load balancing and failover. The result of load balancing performance applied to MikroTik using nth method has higher throughput value compared to the throughput value applied to Zeroshell load balancing. Performance results on failover tests applied to Mikrotik have a smaller delay value compared to the failover test applied to Zeroshell.
Analisis Kualitas Layanan Website Bukalapak Terhadap Kepuasan Pengguna Menggunakan E-S-QUAL Cindy Farah Safira; Ari Kusyanti; Himawat Aryadita
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

E-commerce or short for electronic commerce is a business transaction that occurs in electronic networks such as internet. E-commerce should pay attention to the quality of service, because the quality of an e-commerce is very influential on the number of customers who access and decide to shop using e-commerce. Bukalapak is one of the fastest growing e-commerce development in Indonesia. In 2015, Bukalapak website ranks first in e-commerce in Indonesia. But in 2017, Bukalapak website has decreased one rating. It shows that the importance of user satisfaction in affecting the service quality so that Bukalapak website ranking increased. This research uses E-S-QUAL with Multiple Linear Regression analysis. The results show that Efficiency, System Availability, Fulfillment, Privacy, and Responsiveness have a significant influence on Bukalapak website user satisfaction. However, the Compensation and Contact variables, have no effect. Efficiency variable becomes the most important factor in influencing the satisfaction of the Bukalapak website users. This proves that ease and quick access to Bukalapak's website provides a high level of satisfaction as it meets the expectations of users.
Implementasi Metode Fuzzy - AHP Menggunakan Optimasi Particle Swarm Optimization (PSO) untuk Rekomendasi Pemilihan Tanaman Pomologi Maulana Putra Pambudi; Imam Cholissodin; Candra Dewi
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

Pomology (fruit) is one of the most popular commodities in Indonesia. But, in indonesia fruit production rate is not bigger than fruit consumption rate. Lack of fruit production in Indonesia can be caused by various factor. One of the factor is production failure that caused by wrong fruit choice. That factor can happen because lack of farmer knowledge about compatibility between land and fruit. Therefore it takes a program that can used to help farmer check if their land is compatible with one kind of fruit or not. FAHP-PSO is a one of the method that can solve a problem with many determining factor inside it. This method is a combination of 2 previous method. That 2 previous method is Fuzzy-AHP and Particle Swarm Optimization (PSO). Particle Swarm Optimization method will be working to optimize criteria weight ratio that should be generated from AHP. From the test result, Spearman coefficient for comparing rank result in 3 land and 10 fruit is 0.8598. beside that from the classification result we can obtained Spearman coefficient is 0.9659.
Prediksi Rating Pada Review Produk Kecantikan Menggunakan Metode Naive Bayes Dan Categorical Proportional Difference (CPD) Fathor Rosi; Mochammad Ali Fauzi; Rizal Setya Perdana
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

Beauty products at this time become a popular thing in various circles, especially among women. Almost all of them have beauty products and are included as a primary requirement to support their better performances. The existence of a product can not be separated from a comment or review of the consumer for the product. Of course with the review can help consumers to be more selective again in choosing a product. And from the production side can be helped to measure how far the quality of the products they produce. But from the production itself sometimes have difficulty in sorting and categorize the review, whether the product is good quality, good enough, not good, and so forth. In this study the assessment of a product based on the review given is rating. So it takes a rating prediction system to predict and determine the right rating based on the reviews given by the users of a product. To support the system built required methods to solve the problem, in this study researchers used the method of Naive Bayes and Categorical Proportional Difference. Naive Bayes is a method for classification whereas Categorical Proportional Difference is a feature selection to further optimize the results of classification. From the test results, obtained the best accuracy level when the use of features by 50% with an accuracy of 87%. These results are the best results of the results with other feature usage ratios of 25%, 75% and 100%. From these results CPD proven to make the selection of words that are considered relevant or irrelevant to do classification.
Penentuan Keaslian Tanda Tangan Menggunakan Shape Feature Extraction Techniques Dengan Metode Klasifikasi K Nearest Neighbor Dan Mean Average Precision Willy Karunia Sandy; Agus Wahyu Widodo; Yuita Arum Sari
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

The pace of technological development introduces the automatic identification of signature authenticity which is an important task in many activities requiring legitimate evidence. The process of authenticating signatures begins with preprocessing, which consists of gray transformation, median filter, binary transformation, cropping, and edge detection. After the process of preprocessing followed by the process of determining the extraction of form characteristics with the method of Shape Feature Extraction Techniques consisting of area, perimeter, centroid, rectangularity, eccentricity, roundness. Then classified based on training data obtained from calculations Shape Feature Extraction Techniques. After classification with K Nearest Neighbor then done calculation process Mean Average Precision to determine the authenticity of signature and percentage calculation of Mean Average Precision. In the system accuracy test results obtained 61% accuracy with the retrieval of random data for 25 data. Then obtained an accuracy of 61% accuracy with the retrieval of random data for 15 data and 58% on the retrieval of 5 data. Highest accuracy was obtained on the largest data collection with an accuracy of 61%.
Deteksi Autisme pada Anak Menggunakan Metode Modified K-Nearest Neighbor (MKNN) Zahra Swastika Putri; Rekyan Regasari Mardi Putri; Indriati Indriati
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

Autism is a childhood and developmental disorder that characterized by lack of communication, cognition, imagination and social interaction activities. Many people didn't recognize the symptoms of autism disorder until the first three or seven years of life. Delay, similarities of symptoms and lack of knowledge about autism cause imprecision treatment handling, and increased number of sufferers. Identification of autism differentiated into severe autism, moderate autism, mild autism and non- autism. Modified K-Nearest Neighbor (MKNN) method is a method that enhancing performance of conventional K-Nearest Neighbor method. There're validity of the train data process and weight voting process to robust neighbors of training dataset and strengthen the performance results. Based on variant value of k testing obtained 83.33% accuracy at dissimilarity measure. Based on composition of balance training data testing obtained 90% accuracy at euclidean distance. Based on amount of training data testing obtained 79.17% average accuracy. Based on variation of training data testing obtained 83.33% accuracy at dissimilarity measure. Based on results of such testing accuracy, pointed out that the detection of children's autism using MKNN method have a pretty good degree of accuracy and capable to classify and detection the autism symptoms based on perceived symptoms user input.

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