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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 6,945 Documents
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Klasifikasi Minyak Nabati Menggunakan Sensor Warna dan Sensor Cahaya dengan Metode K Nearest Neighbor (KNN) berbasis Arduino Nur Aini Afifah Isbindra; Hurriyatul Fitriyah; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vegetable oil is one of a product from plants and is often used as the main ingredient in food processing. Each plant that is used as a source of this oil produces different vegetable oils in terms of nutritional content. Oils that have high health benefits for the body are usually sold at high prices in the market. The similarity of the characteristics of the oil in terms of its physical make some producers deliberately sell vegetable oil that is not in accordance with the original plant source. To minimize this incident, in this study a system was created to distinguish vegetable oils based on plants directly and quickly. RGB parameters as well as turbidity are used as features in the classification. RGB data is acquired by the TCS34725 color sensor, while the turbidity data will be obtained by the LDR light sensor. The classification method itself uses the K-NN (K-Nearest Neighbor) algorithm. The K-NN method uses training data as a classification system training to calculate the distance from the test data which is the new data that is entered into the system. Then the results of the distance calculation will be sorted from the closest and the results will be determined based on the most selected class in the voting as many as K. Based on the accuracy test of the classification method, an accuracy of 87.5% was obtained from K=3 and K=5. Then the average computational speed of the classification is 103.6 ms.
Perancangan Antarmuka Pengguna Aplikasi Pemasaran Namiroh berbasis Web dengan Metode Design Thinking PT. An Namiroh Travelindo Deflion Yussac Sahlan; Fatwa Ramdani; Hanifah Muslimah Az-Zahra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. An Namiroh Travelindo is a travel service company for Umrah and Hajj services plus which has branches in several major cities in Indonesia. However, PT. An Namiroh Travelindo experienced internal and external problems in business processes that arose due to the presence of the Covid-19 virus in Indonesia. The traditional system of business processes causes misunderstandings between leaders and agents to cause problems in the marketing process. Based on the problems above, the researcher wants to provide a modern business process solution by designing the user interface of the web-based namiroh marketing application that will utilize the design thinking method for the user interface design process. So with the creation of this application, agents can see the commission correctly and make it easier for the public to register and buy hajj and umrah packages at PT. An Namiroh Travelindo. This application design process uses the design thinking method that uses five stages, namely the empathy phase, define phase, ideate phase, prototype phase, and test phase. This study uses a usability scale system for usability testing with a task scenario that will achieve aspects of satisfaction, learnability, and efficiency. Based on the test results obtained a value of 83.5 so it can be concluded that the user interface design of the namiroh marketing application has a high level of satisfaction based on the data obtained. Based on the criteria for high acceptance, ranking (grade scale) above average, and good adjective ratings.
Rancang Bangun Sistem Deteksi Tingkat Kemanisan Buah Melon (Sky Rocket) dengan Metode Gray Level Co-Occurrence Matrix (GLCM) dan Decision Tree Kelvin Himawan Eka Maulana; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Melon fruit has a sweet fruit taste, thick flesh, and disease resistance. A good quality melon has the characteristics of the outer skin not breaking or cracking, the flesh is free from internal bruising and browning, and the fruit is free from diseases that affect the general appearance. For diabetics, choosing a sweet melon will certainly cause problems. To determine the level of sweetness of the melon, it is first split to take a sample of the liquid and tested on a refractometer. This is certainly not practical, so innovation is needed to determine the level of sweetness of melons by processing the image with a digital image processing process. This study uses a digital image processing process by distinguishing the sweetness level of melons into 3 classes, namely low sweetness level, medium sweetness level, and high sweetness level. Method of Gray Level Co-occurrence Matrix used in this study to perform feature extraction using 5 features that correlation, Contrast, homogeneity, dissimilarity, and Energy with variations in the distance d= 1,2,3,4 and angle θ= 0°,90°,180°,270°. In the melon sweetness classification method, Decision Tree is used to distinguish low, medium, and high sweetness classes. This study used 435 data sets with 390 training data and 45 test data resulting in an accuracy of 80% at low sweetness level, 73% at medium sweetness level and 80% at high sweetness level. The best average computing time obtained at the low sweetness level is 3.87 seconds.
Pengembangan Sistem Informasi Manajemen Care Giver berbasis Web pada Pedis Care Malang Muhammad Hanafi; Adam Hendra Brata; Faizatul Amalia
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pedis Care is an independent health clinic specializes in treating wounds and chronic wounds. Care Giver were individuals who treat and support other individuals (patients) in their lives. Right now, this treatment process still conducted manually and archiving is done by printed documents which takes more spaces. From the issues above, a solution in form of Web based information system management is needed. Research stages started from doing an analysis that produced 6 actors, 81 functional necessities, and 1 non-functional necessity. On system designing, sequence diagram, class diagram, database designing, component designing, and interface designing were done. This system used PHP 7.4 and HTML with Laravel 8.13 framework. Database were implemented using MySQL. Testing stages are started by unit testing that use 3 test samples with basis path testing with 100% success rate. Integration testing is done by using 1 sample also with 100% success rate. Validation testing were done on all 81 functional necessities on the system with 100% valid rate. Compatibility testing results is that the web based information system management care giver can run on Edge, Opera, Chrome, iOS, and Android.
Analisis Sentimen Komentar pada Media Sosial Twitter tentang PPKM Covid-19 di Indonesia dengan Metode Naive Bayes Aldi Bagus Sasmita; Bayu Rahayudi; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The ongoing spread of COVID-19 brings many changes, including Indonesia country. The proper handling for each sector to deal with this pandemic is still ongoing with various efforts including the establishment of policies to intercept the expansion of the virus. The government's policy-setting effort to cut the spread of COVID-19 is the Pemberlakuan Pembatasan Kegiatan Masyarakat, known as PPKM. This policy received various responses from the public through many media, especially digital media through personal social media accounts, especially in the form of comments. Twitter social media platform becomes an effective argumentation space, especially for the phenomenon that is being discussed a lot, including the PPKM policy. Various responses in the form of comments need to be analyzed by sentiment with a classification of positive or negative responses that acts as a sentence filter. The reason of this reasearch on the Naive Bayes method is to determine the value of accuracy in the classification of public sentiment on Twitter social media in response to the PPKM policy carried out by the government in Indonesia. The consequence of the research conducted this time stated that the Naive Bayes Classifier algorithm using the NLTK Filtering Library has the highest accuracy such as Tala Filtering Library and the Combined Stopword Filtering Library. The accuracy results obtained by the NLTK Library Filtering is 77.2%, Tala Filtering Library is 76,6%, and The Combined Stopword Filtering Libray is 75,2%.
Klasifikasi Risiko Penyakit pada Ibu Hamil menggunakan Metode Modified K-Nearest Neighbor (MKNN) Yogi Pinanda; Wayan Firdaus Mahmudy; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pregnant women need to increase their knowledge to find out how big the level of risk of getting a disease, especially because of the vulnerability of pregnant women. Classification of the level of disease risk in pregnant women is expected to assist users in finding the right solution to overcome it. The classification method used to determine the level of disease risk for pregnant women uses Modified K-Nearest Neighbor (MKNN). Classification of disease risk levels in pregnant women using the Modified K-Nearest Neighbor (MKNN) method can make it easier to detect disease based on existing factors. The Modified K-Nearest Neighbor (MKNN) method is implemented on the expert system inference engine so that conclusions can be drawn based on existing knowledge. The results of the accuracy of the system obtained after testing is 85% which indicates that the Modified K¬-Nearest Neighbor (MKNN) method is suitable for studying the level of disease risk in pregnant women.
Perancangan Interaksi dan Antarmuka Pengguna Sistem Informasi Inventaris Aset pada Divisi IT Quality Assurance PT. Telekomunikasi Selular Fitria Handayani; Retno Indah Rokhmawati; Diah Priharsari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Telekomunikasi Selular is one of the cellular telecommunications operator companies in Indonesia. Telkomsel has tools which help manage all business activities, one of which is the ITQA Asset Inventory Information System. It will be developed to assist the operations of the IT Quality Assurance division; specifically, in the IT Strategy and Tools department in managing asset inventory which over time increases in quantity so that it makes management more difficult; besides, the managers think that they need tools to be more orderly in the administrative process. Therefore, it is necessary to design an interaction and user interface which can solve the problems that have been described. Furthermore, this design used Design Thinking with five stages, which were empathize, define, ideate, prototype, and test. The design of the interaction and user interface for system was a high-fidelity prototype for the three user segments that are ITQA, requestor and administrator. Then, each system was evaluated by using usability testing which produced qualitative data in the form of feedback from users who overall state that the system was good and easy. Moreover, the ITQA Asset Inventory Information System for requestor was also evaluated by using the EUCS (End-User Computing Satisfaction) questionnaire which resulted in 49.58% of 16 respondents who agree and 35.64% of 16 respondents who strongly that the ITQA Asset Inventory Information System is satisfying in terms of content, accuracy, format, ease of use and timeliness.
Pengembangan Sistem Informasi Manajemen Surat Masuk dan Keluar (Studi Kasus: Puskesmas Kecamatan Cipayung) Junjungan Siregar; Satrio Agung Wicaksono; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Cipayung District Health Center is one of 84 health centers in East Jakarta. There are several problems on the service of the Cipayung District Health Center including the requests for outgoing letters that are not in one door, incoming mail storage, and time-consuming preparation of a letter agenda report. The method used in this development is the waterfall. System design is done by using UML diagrams such as sequence diagrams, class diagrams, and use case diagrams. At the implementation stage, the system uses the CodeIgniter 4 framework to facilitate development by applying an object-oriented approach. In addition, the system uses the myth-auth library for the authentication process and MySQL for the DBMS. At the testing stage, validation tests are carried out to determine whether the system made is appropriate and user acceptance tests are carried out to measure user acceptance. The results of the validation test resulted in a value of 100% from 16 test cases and an average of 100% for the user acceptance test which was carried out on 2 people.
Implementasi Fuzzy Logic pada Sistem Monitoring Kualitas Air Kolam Renang dan Aplikasi Android Mohammad Andy Purwanto; Mochammad Hannats Hanafi Ichsan; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every living thing need water to life. One of the uses of water is to fill swimming pools. Swimming pool cleanliness becomes a problem, such as pollution of swimming pool water with urine. Not only that, swimming pool water must also pay attention to the temperature, pH and turbidity of the water so that the quality is maintained. However, the quality monitoring process seems slow and is not carried out regularly and continuously. Sometimes, the monitoring process carried out gets inaccurate results and impratical in practice. Therefore, a swimming pool water quality monitoring system was created with a fuzzy logic algorithm, assisted by the eFLL (embedded Fuzzy Logic Library) library which is used to determine whether the water quality is good or bad by processing the data obtained by the DS18B20 temperature sensor, pH -4502C and also the dfrobot turbidity sensor. Arduino Nano microcontroller is used with Atmega328 as a data processor obtained from the sensor. Then, with serial communication via bluetooth, users can see the monitoring results on an android smart phone. The test is carried out by measuring the quality of the swimming pool water in the morning and evening with an interval of 8 hours to get 40 test data. The results obtained are in the form of monitoring and storing data on smart phones. The accuracy of the DS18B20 temperature sensor is 98.75% with an average error of 1.25%, the pH-4502C sensor gets an accuracy of 97.52% with an average error of 2.48% and also the turbidity sensor test results that when the water is getting cloudy, the voltage value will be smaller . In addition, the accuracy of the fuzzy logic algorithm compared to MATLAB is quite high that is 98.49% with an average error of 1.51%..
Pengembangan Sistem Portal Covid berbasis Website menggunakan Framework Laravel Abdillah Ali; Fajar Pradana; Denny Sagita Rusdianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At the end of 2019, the first case of pneumonia was reported in the city of Wuhan, Hubei Province. From 18 to 29 December 2019, at least five patients were treated for suspected Coronavirus Disease 2019 (COVID-19). The spread of this disease continues to spread to Indonesia. There are three things that underlie the rapidly increasing number of COVID-19 cases, namely finding cases as early as possible, testing and contact tracing. Finding cases as early as possible will prevent COVID-19 infection from getting worse. The development of the covid portal system in this research is to accelerate case discovery as early as possible. The system development in this research uses the Waterfall method. The research stages start from literature study, needs analysis, design, implementation, testing, and conclusion. The developed web-based system is implemented using the Laravel framework with the MVC development pattern. The system is also equipped with health facility data presented in the form of a map which is implemented using the Here Maps API. The testing method used is the method of white-box testing and black-box testing. The white-box testing method is used for unit testing and integration testing with 100% valid test results. The black-box testing method is used in validation testing with 100% valid test results. Non-functional testing is carried out by testing compatibility requirements using a testing tool called sortSite on several browsers with 100% valid results.

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