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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 60 Documents
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Search results for , issue "Vol 4 No 10 (2020): Oktober 2020" : 60 Documents clear
Pengembangan Modul Web Service Pada Situs PPOB Untuk Transaksi B2B (Studi Kasus PT XYZ) Miftahur Rizqi; Herman Tolle; Buce Trias Hanggara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT XYZ (the name of the company is disguised) is a company engaged in telecommunications that has distribution areas throughout Indonesia. PT XYZ offers B2B (Business To Business) cooperation services in terms of selling pulses and Payment Point Online Bank (PPOB) to its partners. Based on the results of interviews and observations found problems in the PT XYZ PPOB system. The absence of a bridge to connect the many supplier systems with existing applications at PT XYZ causes problems that arise in the PPOB system. The first problem is the number of suppliers and the presence of new applications at PT XYZ will make coding by the PT XYZ IT be inefficient because they have to change one by one in the coding of the application, even though the time can be used for other IT tasks. The second problem is in terms of supplier management where for the active supplier turnover process and supplier product price changes must be done one by one on the PT XYZ application. This requires a long time in the process. The third problem is that currently in the PPOB PT XYZ business there is no Host to host (H2H) service so it is said to be lagging behind its competitors. Based on these problems, a solution can be given by creating a module in the form of a web service to bridge between suppliers with PT XYZ applications. This module is used as a form of interoperability due to the diversity of the system in PT XYZ's PPOB system. Modules in the form of a web service system and management system that will become the standard for PT XYZ in running PPOB business. The method of developing this module uses the waterfall.
Implementasi Algoritme Salsa20 untuk Pengamanan Search Keyword Dokumen Terenkripsi Muhammad Thareq Parsaulian Beyri; Ari Kusyanti; Fariz Andri Bakhtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

As the digital era develops, large-sized storage media are needed by many groups such as companies, government agencies, and organizations to store data or files. Also, storage media are needed that can facilitate more than one user in accessing data anywhere simultaneously. Cloud storage answers these needs. The stored data will be placed on the server. However, with the convenience provided by cloud storage, some aspects need to be considered by the user, namely the security of user data so that the data can only be accessed by the data owner or the party is given access. By applying encryption, data can only be accessed by the owner of the encryption key. In this study the encryption algorithm used is Salsa20. Salsa20 algorithm is a proven algorithm for its level of security. The Salsa20 algorithm was chosen because it takes up less memory compared to other algorithms. The secured data are the documents and the keywords. The contents of the document and keywords are encrypted into a new form, ciphertext. The ciphertext security level of this research is proven by active attack testing. But before that, the ciphertext is validated first with a test vector. Vector testing is done by matching the input and ciphertext in the journal. Vector testing results produce a valid status for each scenario. With the validation of the ciphertext in this study, data security is further tested using active attack method, the Known Plaintext Attack (KPA). The KPA attack on ciphertext was declared a failure in getting the key. Based on testing the time of encryption and decryption, it can be concluded that the difference in time of encryption and decryption is not large.
Pengembangan Sistem Konsultasi dan Pencarian Pengacara berbasis Website Entin Endah Cahyati; Nurudin Santoso; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Law is rules in written or unwritten form, which are arraned into a system that determines what can and cannot be done by humans in social life. To protect an prevent misuses of the law, we need someone who understands the problem that exist whithin the scope of the law, namely lawyers. Before determining the suitability of our cases with a lawyer, a consultation is needed about the case we are facing. Today many people need lawyers but to get it is difficult, which one is the mismatch between lawyer and client. To find out whether a lawyer is suitable or not with a client, first the client must consult with the lawyer. To facilitate the search and consultation of lawyers, a system is provided that can be used to consult and search for lawyers. The process for developing this research is using the Rapid Application Development (RAD) method with an Object-Oriented (OO) approach and website-based. To find out whether a lawyer is suitable or not with a client, first the client must consult with the lawyer. To facilitate the search and consultation of lawyers, a system is provided that can be used to consult and search for lawyers. The process for developing this research is using the Rapid Application Development (RAD) method with an Object-Oriented (OO) approach and website-based.italic.
Implementasi Konsep Context Awareness pada Aplikasi Pengingat Ibadah Sunnah di Platform Android Muhammad Zaki Nabil; Agi Putra Kharisma; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The use of applications installed on smartphones, especially Android, is currently very much used by a Muslim or Muslimah to support prayer activities. One of them is a reminder application for prayer. However, most application reminders are intended only for prayer that is compulsory while the sunnah prayer activities are still relatively small. Another disadvantage is that the application is not able to automatically provide reminders to users that are adjusted to the location, time and activity of the user whether they have performed the prayer or not. For that we need a context-aware concept that is expected to be able to optimize the reminder function so that the application can provide reminders according to user activities. By utilizing context information in the form of location, time, identity and activity of the user through the sensors that are on the smartphone, the application can find out whether the user has carried out prayer or not. Sensors that can be utilized include GPS sensors, proximity sensors, light sensors and accelerometer sensors. The level of efficiency of the use of the application was tested using usability testing and it was found that SUS score of 74 included in good qualifications and success, then in compatibility testing the Sunnah prayer reminders application can run smoothly and there was no error in the Android operating system Lollipop, Marshmallow, Nougat, and Oreo.
Prediksi Price Earning Ratio Saham Menggunakan Algoritme Kernel Extreme Learning Machine (Studi Kasus: PT TELKOM) Mentari Adiza Putri Nasution; Imam Cholissodin; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stock investment is one of the most populer investments nowadays. This kind of investment has the "high risk high return" characteristic which come up with a threat of loss for stock investors. There are lots of paper have been implemented related to the estimation of stock price movements, but researchers focus more on technical analysis rather than fundamental analysis which is no less essential. One of the populer methods with a fundamental approach is Price Earning Ratio (PER) method. Extreme Learning Machine is a proven method of forecasting stocks with high performance and relatively low learning speed, but this method has weaknesses in determining random weights and biases that can reduce its stability. Kernel Extreme Learning Machine offers the utilization of kernel functions that can provide high stability and performance, but with relatively low learning speed. The results of this paper provide the optimal Mean Absolute Precentage Error (MAPE) is 2.78021%, with 8 features, training and testing data ratio 90%: 10%, using the Polynomial kernel function with a value of parameter 1, and using a regularization coefficient (λ) 1000. Nested Cross Validation evaluation was also performed which provide the MAPE value is 6.385713%.
Implementasi Paradigma Publish-Subscribe Untuk Menjalankan Event-Based Monitoring Pada Sistem Pengamatan Kandang Ternak Adytya Tri Syahrul Alim; Dany Primanita Kartikasari; Fariz Andri Bakhtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Broiler chickens are one of the main needs of the community. Poultry production ranks at the top in meeting meat needs by contributing 70 percent of the total 3.5 million tons of meat production throughout Indonesia. The potential for fulfilling the needs of chicken meat has a high risk with high environmental temperatures due to global warming. The factors that cause crop failure due to climate change are the influence of weather conditions, cages and the environment caused by the chickens being susceptible to infection. So that we need a system that can monitor the conditions of the cage to adjust the condition of the chicken's body with the surrounding environment. The system that is made consists of 3 components, namely publisher, broker, subscriber. The first component is a series of DHT11 temperature and humidity sensors on the ESP8266 as a microcontroller and also as a WIFI module, coupled with a USB webcam camera to monitor conditions in the cage as a publisher. Then the Raspberry Pi microcomputer acts as a server as well as functions as a broker. Data transmission is carried out using the help of a wireless network and data processing is carried out in a local broker. From the research made, the test results obtained are as expected and obtained the system performance which refers to the average latency value below 1ms, namely 0.31 ms. Keywords: IoT, raspberry pi, temperature and humidity, MQTT, publish subscribe
Analisis Pengalaman Pengguna pada Aplikasi Mobile Booking Hotel dengan menggunakan Metode User Experience Questionnaire (UEQ) (Studi pada RedDoorz dan Airy) Mochammad Alif Kresnanto; Buce Trias Hanggara; Bondan Sapta Prakoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of information technology is always experiencing rapid development from year to year. The many facilities that are caused by the development of information technology directly impact on daily activities. One sector that is impacted is the hotel business. Where some developers began to develop applications that aim to facilitate users in booking hotels. Two of these applications are RedDoorz and Airy. In a review given by the user on each application shows a variety of responses from users where there are positive responses and negative responses. the purpose of this research is to know the quality of each application using the User Experience Questionnaire (UEQ) method where this method is used to assess the quality of a product or application based on the impressions of users when using a product or application. UEQ has six rating scales including attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. In this research respondents have different backgrounds with age ranges from 18 years to 34 years who have already used one of the two applications. The results of the analysis using UEQ revealed that Airy obtained better scores on some scales in UEQ than RedDoorz.
Deteksi Rambu Lalu Lintas menggunakan Algoritma Moore Neighbour Contour Following dan Simplifikasi Poligon dalam HSV Color Space Achmad Dewanto Aji Wibisono; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Traffic Signs Recognition System (SPRLL) is needed to map and repair road signs, driver assistance systems, and autonomous cars. As one of the important parts of SPRLL, the introduction of traffic signs has some difficulties in dealing with real traffic conditions due to changes in illumination, partial occlusion, too much noise and a small sign size compared to other objects. The program flow from the detection system usually uses known features, extracts from the region that is promoted by the program, and filters negative regions. Derived from the above requirements, we need a system that can be used to detect traffic signs that exist in an image. This traffic sign detection system is applied by the writer to the German Traffic Sign Detection Benchmark GTSDB dataset. Some images taken in poor conditions such as foggy can reduce the accuracy of the detection system. In evaluating the system, an evaluation method is used to determine the accuracy and accuracy of the system. A value of 0.75 is obtained for accuracy which states that the system is accurate enough to detect traffic signs on the dataset.
Pengembangan Sistem Informasi Manajemen Penjualan Belimbing dan Olahannya (Studi Kasus : Kelompok Tani Blimbing Artha Mandiri) Nur Anisa; Denny Sagita Rusdianto; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Blimbing Artha Mandiri Farmer Group is a community group having the same agriculture and having purposes to increase productivity, welfare for farmer members in one agricultural area. Blimbing Artha Mandiri Farmer Group is located in Tulungagung Regency with starfruit farming. In its development, farmer group has a problem in carrying out management of farmer group activity that still uses conventional methods, such as recording the selling of agricultural products to farmer group, then also registering farmer group members that is done by making people come bringing registration applications, then continued with checking applications and recorded in the members' recap book. While the difficulties are obtaining a list of benefits and financial recap of farmer group by recording the selling activity, incoming goods, and different orders and often create different financial data and recapitulation problems which later will be reported to the person in charge of the village head. Selling management information system can be a solution to the problem above. Selling data processing and group activities of farmer group become better, also get structured financial information and clear to minimize of having mistakes. This management information system is built using a prototyping softwafe development model and uses a codeigniter framework. The results of requirements manipulation get 59 functional requirements and 1 non-functional compatibility requirement. Designing has been done with 5 designs including, architectural design, sequence diagram, class diagram, component design, database design, and interface design. Then in the implementation step results component implementation, database implementation, and interface implementation. Testing has been done by using the whitebox testing method as a unit test, while the validation testing used blackbox testing by testing to 59 functional. Then non-functional testing was done by using compatibility testing. Results of 59 Functional tests using blackbox testing is obtained 100% valid results. Compatibility Test results, the system can run on Google Chrome browser and Mozilla Firefox.
Deteksi Pergerakan Arah Mata menggunakan Convolution Neural Network berdasarkan Facial Landmark Muhammad Amin Nurdin; Randy Cahya Wihandika; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The movement of the human eye can be useful in various fields, for example in security systems, health, transportation and design interface. In the design interface systems, eye movement used as an interactive system. The system can interact and responses to users by using eye movements. The video-based eye tracking method has the advantage of being practical and convenient during the detection process. This study uses the Convolution Neural Network (CNN) algorithm because it will utilize the advantages of the CNN method to classify and have the most significant results in object recognition. The results of this study indicate that the CNN model that good to use in the classification of eye direction based on facial landmarks is with 2 layers contain 32 filters and 64 filters, batch size 16 in image augmentation with 20 fully connected layers resulting loss value of 0.08, with an accuracy of 0.98 and 8.62 seconds in training time. Test results on videos taken 50 frames randomly three times, resulting in an average accuracy 0.95.

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