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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 6,972 Documents
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Pengendali Kecepatan Robot Beroda dengan Proporsional Integral Derivative dan Tuning Ziegler-Nichols Bagus Sawung Timur; Eko Setiawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wheeled robot is a technological innovation that facilitates exploration mobilization. The use of wheeled robots in exploring unstable fields is often a quite troublesome obstacle. Based on these problems, in this study, the design of a control system on wheeled robots was carried out that can regulate the speed of the robot both in the incline and the derivative field. The speed monitoring process on the robot uses an optocoupler sensor which is then controlled using Arduino UNO. For the method used as a determinant and speed control regulator, this research uses the PID (Proportional Integral Derivative) method with the Ziggler-Nichols tuning method to the field conditions being faced. In this study, testing is based on several scenarios. In testing the upper limit and lower limit of 225-255 PWM experiments found errors of 60o and 90o. Based on testing to find the PID parameters found results Kp 2.4, Ki 1.92, Kd 0.75. From the results of PID testing on the system obtained an average settling time of 3.6 seconds
Pengembangan Sistem Penilaian Santri Terpadu di Al-Izzah Leadership School berbasis Web Muhammad Zaharuddin; Fajar Pradana; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Islamic boarding school is one of the Islamic institutions which is a subculture of the Indonesian people. Both academic and religious education is an important concern for Islamic boarding schools to produce knowledgeable students. Al-Izzah Leadership School became one of the educational institutions that paid attention to their students in the academic field and also memorizing their Qur'an. The learning process of each semester produces values ​​that illustrate the success of the learning process for whole one semester. However, the learning process has problems, the problems are the difficulties experienced by the guardians of students in observing their children in case of development of academic values ​​and memorization of the Qur'an, so that parents cannot reprimand directly when the child gets a bad grade. Based on these problems, this system made to facilitate the assessment process at Al-Izzah Islamic boarding school. The system development process includes the requirements analysis, implementation, and testing. Requirement analysis consists of 34 functional requirement. Implementation use the PHP programming language with Laravel framework and MySQL for database section. Testing include functional and non-functional testing. Functional testing includes unit testing that successfully conducted the test path based on 3 test cases, integration testing on the method resulted in valid status and validation testing resulted in 100% valid from 52 test cases. Non-functional testing using usability testing gets result that can be accepted by users with a score of 72.5.
Sistem Klasifikasi Langit Cerah dan Berawan menggunakan Gray Level Co-Occurrence Matrix dan K-Nearest Neighbor berbasis Raspberry Pi Marrisaeka Mawarni; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Weather is a condition in the atmosphere that occurs in an area in a short time. Weather can be predicted by observing weather elements, such as clouds. This research will perform a weather classification based on sky and clouds conditions in the form of sunny and cloudy weather. Sunny weather occurs when the sun shines brights, and there are no clouds in the sky. Cloudy weather occurs when sunlight is covered by clouds that contain water vapor in the atmosphere. The system used fisheye images so that we have a wider field of view images than panoramic images. The classification process for clear and cloudy skies uses the Gray Level Co-occurrence Matrices (GLCM) method to extract the texture features. The features for the classification of sky conditions in the GLCM method are energy, contrast, correlation, homogeneity, and dissimilarity with four angular variations, namely 0,45,90, and 135. The sky classification process is using the K-Nearest Neighbor method with k = 3,5,7, and 9. The Raspberry Pi 4 is used for the whole data processing, and then the classification results are displayed on the LCD. the Accuracy testing was carried out using k-fold with 5 fold, obtaining an average accuracy result of 100% and an average computation time of 2.3516 seconds.
Analisis Sentimen Aplikasi E-Goverment berdasarkan Ulasan Pengguna menggunakan Metode Maximum Entropy dan Seleksi Fitur Mutual Information Abel Filemon Haganta Kaban; Indriati Indriati; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile JKN is an e-government application that is used by the government as an innovative use of information and communication technology in government administration. Mobile JKN is an application as part of BPJS Kesehatan's commitment in providing services and easy access for BPJS Kesehatan users. Indonesians can try using the Mobile JKN application and review it on application providers such as the Google Play Store and the App Store. Reviews as a way of expressing opinions, offer data sources in the form of user sentiments regarding the features and services available on the Mobile JKN application. Sentiment analysis research is conducted to analyze the sentiments contained in user reviews by classifying reviews as positive or negative. In this research, Maximum Entropy is used as a classification method with Mutual Information as a feature selection to reduce the number of features used in the classification of user reviews of the Mobile JKN application. In testing, better evaluation results are shown by the use of the Mutual Information feature selection in the classification using Maximum Entropy with an accuracy value obtained of 82.5% compared to without the use of feature selection which results in an accuracy of 79.5%.
Sistem Pendukung Keputusan Untuk Pengelompokan Barang Terjual Pada PT Dasema Digi Persada Dengan Metode K-Means Clustering Siti Aisah; Ismiarta Aknuranda; Alfi Nur Rusydi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT Dasema Digi Persada is a company involved in the field of instrumentation, engineering, construction, and industrial processing. PT Dasema Digi Persada provides facilities for the supply of industrial equipment needs, installation services and equipment maintenance. In its operations, PT Dasema Digi Persada had business problems relating to data utilization. Sales information of collected goods was unable to provide information on the outcome of sales which will be used as the basis for decision-making about the quantity of inventory or stock products to be sold. The decision support system is required to classify the sold goods data into two clusters representing the best-selling category and the less-selling item so that the company can prevent the occurrence of product limitations and surplus stock products as both have the potential to cause losses. Therefore, in the work of this thesis developed a decision support system for the grouping of such data. The methods used in data grouping are is K-Means Clustering which is considered suitable as it has advantages in terms of performance, speed and ease of use. K-Means Clustering supports the grouping of large amounts of data by allocating data to a cluster based on the proximity of each cluster's datacenter location. A built-in web-based decision support system has been tested by implementing functional testing with black box and accuracy testing with the silhouette coefficient. The black box testing result states a 100% functional system is valid and the silhouette coefficient testing result generates a silhouette index value of 0.61 which is categorized as a good structure.
Evaluasi dan Perbaikan User Experience Pada Aplikasi Jatim Park Dengan Menggunakan Metode Cognitive Walkthrough dan User Experience Questionnaire (UEQ) Kharinna Markis; Yusi Tyroni Mursityo; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Artikel dipublikasikan di JTIIK
Pengembangan Aplikasi Pembelajaran Sistem Informasi Sekolah berbasis Web menggunakan Metode Extreme Programming (Studi Kasus: Al-Izzah International Islamic Boarding School Kota Batu) Zainal Abidin; Buce Trias Hanggara; Bondan Sapta Prakoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Al-Izzah International Islamic Boarding School, Batu City, is a school that connects the basic values ​​of Islam with comprehensive knowledge of these rapidly changing times. The process of teaching and learning activities is carried out as a whole, which collects the development and general knowledge of students' Islamic values. The process of teaching and learning activities must be carried out face-to-face in the classroom, when teachers cannot participate in learning activities in class, the delivery of material is naturally hampered. This problem resulted in student learning not optimal, besides that the teacher also had to catch up on the material that was left behind. To help teachers and students in the teaching process, implement learning applications on browser devices so that they can be accessed anytime, anywhere. This application has a function to study the existing material, do assignments and evaluate. The application was developed using the extreme programming method which resulted in three iterations. Extreme programming is a method that focuses on faster results. In addition, this method is suitable for users with unclear and changing needs. According to the needs analysis, 26 functional requirements were generated. According to the test results, it is declared valid which means the application can run well. The results of user acceptance testing, learning applications get an assessment from users, namely with a percentage of 81.47%. It can be concluded from these results that the application is declared approved or accepted by the user.
Analisis Pengaruh Kualitas Layanan BCA Mobile terhadap Tingkat Kepuasan dan Loyalitas Nasabah berdasarkan Model E-S-Qual dan E-RecS-Qual (Studi pada Nasabah BCA Kota Surabaya) Roshidah Nur Halimah; Yusi Tyroni Mursityo; Alfi Nur Rusydi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Untuk dipublikasikan di Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK)
Evaluasi Manajemen Risiko Teknologi Informasi menggunakan Standar Cobit 5 IT Risk pada PTPN X Pabrik Gula Meritjan Kediri Fakhri Ivan Alfiansyah; Buce Trias Hanggara; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

To help running business processes and make effective and efficient decisions, Finance and General Affairs Division of PG. Meritjan Kediri PTPN X uses SAP (System Application and Product in Data Processing). Risk management applied to PG. Meritjan Kediri uses ISO 9001: 2015 and ISO 14001: 2015 standards to deal with risks that interfere with the implementation of the company's business processes. The APO12 (Risk Management) and EDM03 (Ensure Risk Optimation) process domains in the COBIT 5 framework are used in the evaluation of information technology risk management in order to know the extent of the achievements of the IT risk management in the financial and general sections of PG. Meritjan Kediri. Data collected using questionnaires, making direct observations, and conducting interviews with related parties. Meanwhile, the stage for conducting the evaluation process consists of analyzing the capability level, gap and risk assessment. Risk assessment is carried out to identify risks and assess their impact. Capability level analysis resulted in level 2 in the APO12 and EDM03 process domain, 11 steps and mitigation strategies, and 11 recommendations. These results are used as the basis used to improve IT risk management implemented by the finance and general department of PG.Meritjan Kediri.
Klasifikasi Ulasan Palsu menggunakan MDLText dengan Seleksi Fitur IG dan SMOTE Dary Ardiansyah Haryono; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Advancement of technology make buying product/service easier because the order can be made via online. Most people will consider reviews before buying product/service, so reviews greatly affect the number of product/service purchases. Therefore, fake review classification system was created using MDLText algorithm. In this research, comparing the accuracy, precision, recall and F-measure of 4 methods namely: MDLText algorithm, and MDLText algorithm with IG feature selection, MDLText algorithm with SMOTE, MDLText algorithm with SMOTE and IG feature selection. The data used are imbalanced data with a ratio of 1 fake review to 6 original reviews. Based on the test results, for the MDLText algorithm the results obtained from the change in the parameter α with a pretty good accuracy of 49,67% but with relatively low recall of 19,35%, precision 10,53%, and F-measure 13,64%. While the use of MDLText algorithm with IG feature selection is better when the threshold is 60% in terms of accuracy that is 77,48% but in terms of precision, recall and F-measure threshold 90% has a better value of 20,94%, 100% and 34,64%. In the use of MDLText algorithm with SMOTE, the most balanced composition values are at SMOTE 200% with an accuracy value of 60.93%, recall 9.68%, precision 8,82% and F-measure 9.23%. It can be concluded that the MDLText method is better with 200% SMOTE and 60% IG threshold feature selection in terms of accuracy, precision, recall and F-measure. For the k-fold validation testing the best result for accuracy, recall and F-measure at 2 fold with 81,55%, 12,5%, 7,69% and 9,52%.

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