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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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Implementasi RFID untuk Mengatasi Untraceable Book Pada Perpustakaan Ahmad Fajri Rahman; Agung Setia Budi; Rakhmadhany Primananda
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

The library is a place to store and read collections of reading material such as books. Each book has its own identity which is stored in the catalog. In this technological era, the type of catalog used is OPAC (Online Public Access Catalog). Generally, markers of identity numbers on books are barcodes. The process of writing a catalog (cataloging) is usually done only once (semi-permanent). Library visitors can access the catalog to find the book you want, but sometimes when searching for books there is a problem that the book is not found on the shelves listed in the catalog. Based on this, the system was created with the aim of automatically updating catalogs. This system cannot be implemented on a barcode system, because in general barcode reader devices read data through a USB port, so if you want to access the database you must use a mini computer. Another alternative that can be used to solve this problem is RFID (Radio Frequency Identification) technology. The implementation of the RFID system is done by replacing the barcode system with RFID which is implemented on the nodemcu in order to access the database and can do the catalog update process when there are books scanned on the RFID scanner. The system test results show that the system can detect and read RFID tags at a certain radius and do a catalog update with a duration of less than 5 seconds.
Implementasi N-Modular Redundancy pada Vehicle Accident Report System Bayu Bagus Prabowo; Rakhmadhany Primananda; Agung Setia Budi
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

Vehicles are one of the necessities needed by humans at this time, especially in Indonesia, where the number of vehicle accidents is quite large, especially in remote areas, and far from health facilities. For that we need a vehicle accident report system, which is reliable and accurate. The tool must be able to detect accidents accurately and be able to send messages to the victim's family. However, in an accident, the vehicle will be in a condition that can cause damage to components or modules as a whole. These problems can cause the device to be unable to detect accidents. Therefore, the system must be equipped with the N-Modular Redundancy method, as a method to disguise errors that occur in the module and allow the tool to continue to work, even if there is damage. N-Modular Redundancy or NMR is a method based on the principle of the Triple Modular Redundancy or TMR method, but this method uses "N" modules instead of three as in TMR. (Elena Dubrova, 2013). The system consists of 3 MPU-6050 sensors as vehicle tilt sensors, 1 TC9548A module as a hardware fault tolerant implementation, 1 Arduino Nano as a microcontroller, and 1 NodeMCU ESP8266 as a message sender. From the test results, the tool has a reliability value of 95%, and a failure rate value of 0.24%, and is able to run 50% more test cycles than identical tools that do not have a reliability function. The results of the tool process will be displayed in the e-mail.
Sistem Pengukur Kesegaran Daging Sapi menggunakan Metode K-Nearest Neighbor (K-NN) dengan Fitur Penambahan Data Latih berbasis EEPROM Jeffry Atur Firdaus; Eko Setiawan; Dahnial Syauqy
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

Beef is one of the food products that is in demand by the people of Indonesia because it has high nutritional value. 70% air, 20% protein, 9% fat and 1% ash. The freshness of beef affects the quality of beef. Simple characteristics of beef that is still fresh is the color of fresh red meat, soft flesh fiber and yellow fat. The quality loss in beef can be marked by changes in color, taste and smell. This is caused by the development of microorganisms in beef. Eating beef contaminated by microorganisms can cause food poisoning and other health problems. In this research, a system can classify beef quality using the K-Nearest Neighbor algorithm and Arduino nano EEPROM. This system uses beef RGB color input using TCS3200 sensor, gas quality to measure the intensity of NH3/ammonia gas using the MQ135 sensor and push-button as a medium of user interaction with the system. Further sample data is classified using K-Nearest Neighbor on Arduino Nano using training data stored on EEPROM. The results of the classification of "fresh" "medium" or "rotten" grade beef will be shown on the LCD. In addition, data on the EEPROM can also be added and removed for system development through a menu on the LCD. The average computation time obtained in the system to classify beef quality is 117ms and the classification system with 81 training data on 27 test data obtains an accuracy of up to 85%.
Pengembangan Sistem Informasi Pemesanan Paket Wisata (Studi Kasus : Agen Wisata Liburan Sekolah) Rodiah Rodiah; Buce Trias Hanggara; Dian Eka Ratnawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Liburan sekolah is a travel agency engaged in services, which offer tour packages and guide tourists in visiting the Thousand Islands tours. To make a tour package booking, visitors must contact customer service via telephone or whatsApp and customer service records each order entered manually. This becomes less effective because customer service must reply to every order that comes in and checks every transaction made by a visitor. Based on this we need an information system that can facilitate visitors and customer service in the process of ordering and registering orders. In the process of developing a system used a method that is carried out sequentially or commonly known as the waterfall method. The results of the needs analysis yielded 15 functional needs which were described in the use of case diagrams and the results of system design were described in sequence diagrams, activity diagrams and database modeling. In the process of implementing the system, the Laravel and mysql framework are used for database storage, at this stage 6 controllers are generated. Based on the results of black box testing shows all functions can run well and is declared valid and based on the results of the User Acceptance Testing (UAT) test with 10 respondents producing an index value of 89.6% can conclude the system can be accepted. Based on the results of this study produced a tour package booking information system that can facilitate tourists and admins and the transaction process
Implementasi Sistem Pendeteksi Sleep Apnea Berdasarkan Interval QRS Dan Durasi Gelombang P Menggunakan Metode Support Vector Machine Muhammad Jibriel Bachtiar; Rizal Maulana; Dahnial Syauqy
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

The pumping of blood throughout the body is carried out by the most important organ in the body, namely the heart. Because the heart is the most important organ, the higher the risk of a disorder, one of these disorders is Sleep Apnea. Sleep Apnea is a respiratory disorder that causes breathing to stop momentarily for several times during sleep. Sleep apnea detection can be done in various ways, one of which is by means of a device called an Electrocardiogram (ECG). The way this tool works is by recording the signal issued by the heart when it beats. Currently, to detect Sleep Apnea requires a large amount of money and can only be done in a hospital. For this reason, a sleep apnea detection study was created which allows users to not have to pay expensive fees and can be done anywhere. The features for the detection of Sleep Apnea in this study use the value of the QRS Interval and the Duration P of the ECG signal generated. With the AD8232 sensor and 3 electrodes attached where 2 are attached to the chest and 1 electrode on the abdomen, the ECG signal will be detected. Signal processing and classification are carried out when signal data is obtained from the sensor using the Support Vector Machine (SVM) classification on the Arduino Uno microcontroller. A total of 48 training data and 24 test data were used for determining and testing the accuracy of the SVM. 20 normal data and 28 Sleep Apnea data were used as training data and 10 normal data and 14 Sleep Apnea data were used as test data. The “Normal” class or “Sleep Apnea” class is obtained and displayed when the SVM classification results have been assigned. 83.3% of accuracy is obtained from the SVM classification trial which has an average computational training time of 9.78 seconds and an average computation testing of 0.7 seconds.
Analisis Aspect-Based Sentiment Opini Mahasiswa Terhadap Saran Evaluasi Kinerja Dosen Menggunakan k-Nearest Neighbor Nasita Ratih Damayanti; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
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 Sistem Informasi Pengelolaan Nilai Hasil Belajar Murid dan Pendaftaran Murid Baru pada Madrasah Tsanawiyah Ma'arif Udanawu Blitar Daniel Sri Bintang; Ismiarta Aknuranda; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Madrasah Tsanawiyah Ma'arif Bakung is an Islamic junior high school located in Blitar Regency. Each new academic year, the number of new students can reach 300 students with the number of educators teaching as many as 60 people. With so many students being accommodated, the value management process to become a report card is still using the conventional method, namely by administrative officers making the value format in excel and then distributing it to each teacher. This process raises several problems, one of which is if there is a change in the value data, the teacher needs to contact the administrative officer first. In addition to the assessment process in the new student registration process, several problems are often encountered because the process is still done manually. Based on the problems that have been described, an information system will be developed that can facilitate the process of managing grades and registering new students using the waterfall software development method and Unified Modeling Language (UML) to model the system. At the requirements analysis stage, 40 functional requirements and 2 non-functional requirements were generated. At the system testing stage, several tests were carried out including black-box testing, compatibility testing, and UAT testing. In black-box testing, 20 test cases were produced with 100% valid results. In the compatibility test, it was found that in some browsers there were some minor issues caused by some browsers not supporting the CSS property used. In User Acceptance Testing, it shows that the information system built can be accepted by users with a value of 84.5% (Agree).
Implementasi Support Vector Machine pada Analisis Sentimen mengenai Bantuan Sosial di Era Pandemi Covid-19 pada Pengguna Twitter Davriwan Dzaky Muttaqien; Tibyani Tibyani; Pitoyo Peter Hartono
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

Pandemi COVID-19 menimbulkan berbagai macam permasalahan diberbagai sektor, salah satunya sektor perekonomian yang berdampak pada kesejahteraan masyarakat. Dengan tujuan untuk meningkatkan kesejahteraan masyarakat, pemerintah melalui kementerian sosial menyelenggarakan program bantuan sosial. Seiring dengan berjalannya program tersebut banyak masyarakat yang membicarakan serta memberikan opini mereka terkait program tersebut di sosial media, salah satu sosial media yang banyak digunakan masyarakat untuk membicarakan hal tersebut adalah Twitter, sehingga Twitter dapat dijadikan salah satu sumber untuk melakukan analisis sentimen terhadap bantuan sosial. Penelitian ini bertujuan untuk membangun alat analisis untuk memahami secara intuitif sentimen publik yang beredar di Twitter terkait bantuan sosial selama krisis COVID-19. Pada penelitian ini, Support Vector Machine (SVM) digunakan sebagai mesin utama untuk alat analisis yang diusulkan, karena kekuatannya dalam menangani inkonsistensi data yang secara inheren tertanam dalam tweet subjektif. Hipotesis awal adalah bahwa tidak terdapat perbedaan pada sentimen sosial di antara kelompok usia yang berbeda dalam masyarakat. Pada penelitian ini, alat analisis terdiri dari tiga SVM berbeda, masing-masing dilatih oleh tweet dari kelompok usia terkait. Dalam eksperimen, uji penilaian statistik dilakukan untuk mengevaluasi hipotesis awal, dan hasilnya digunakan lebih lanjut untuk membangun alat analisis, sementara penggunaan alat analisis ini di masa mendatang juga dijelaskan. The COVID-19 pandemic has caused various kinds of problems in various sectors, one of which is the economic sector that has an direct impact on people's welfare. With the aim of escalate people's welfare, the government through the Ministry of Social Affairs runs a social assistance program. Along with the running of the program, many people discussed and gave their opinions regarding the program on social media, one of the social media that is widely used by people to talk about this is Twitter, so Twitter can be used as a source to conduct sentiment analysis on social assistance.The objective of this research is to construct an analytical tool for intuitively understand public sentiments circulating in Twitter regarding the social assistance during COVID-19 crisis. Here, Support Vector Machine (SVM) is utilized as the main engine for the proposed analytical tool, due to its strength in dealing with data's inconsistency that is inherently embedded in subjective tweet. The initial hypothesis is that there is no difference in social sentiment among different age groups in society. Here, the analytical tool consists of three different SVM, each trained by the tweet from the associated age group. In the experiment, a statistical assessment test is executed for evaluating the initial hypothesis, and the result is utilized further to build the analytical tool, while the future usage for this analytical tool is also explained.
Pengembangan Sistem Tender Online Dalam Pengadaan Barang Berbasis Web (Studi Kasus RS. Pelni Jakarta) Firdaus Arsy Ramadhan; Fajar Pradana; Widhy Hayuhardhika Nugraha Putra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 8 (2020): Agustus 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tender or auction is one of the sales activities carried out in front of several people and is led by the auction official. Auction activities can be in the form of goods or services. PELNI Hospital is one of the hospitals in Jakarta that is not spared from procuring goods and services so that all needs in the hospital are met. In implementation, Hospital PELNI conducts auctions to procure goods and services to vendors. however, in the auction process there were problems including manual procurement of goods which made the transaction ineffective and the process of selecting potential vendor candidates who won the auction relatively took a long time because the process took 1 month. Based on these problems, a system was made to simplify the auction process in Pelni Jakarta Hospital. The system development process includes the requirements analysis, implementation, and testing stages. Stages of needs analysis to get 25 functional needs. The stages of implementation use the PHP programming language in the Laravel framework. Stages of testing include non-functional and functional testing. Functional testing includes unit tests that successfully carry out test paths based on 3 test cases, integration testing on the getRecommendedAttribute() method with penawaran() and get_formatted() yields a valid status and validation testing yields 100% valid from 31 test cases. Non-functional testing using usability with system results can be accepted by users with a score of 88 for the admin and a score of 84 for the vendor.
Pengembangan Media Pembelajaran Interaktif berbasis Website pada Mata Pelajaran Administrasi Infrastruktur Jaringan dengan Model Pengembangan Four-D di SMKN 3 Malang Nabial Ihlashi; Admaja Dwi Herlambang; Satrio Hadi Wijoyo
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

The research and development aims to develop interactive web-based learning on subject Administrasi Infrastruktur Jaringan and investigate the results of learning before and after using interactive web-based learning. The development model applied adapts the development model four-D model from Thiagarajan, Four-D model consists of four stages, define, design, develop and disseminate. Four-D model was chosen because it was considered good enough in each stage with the sequence of activities. Validation was carried out by media expert with a percentage of 82% and a percentage of 87% from material expert, both assessments were classified as “very feasible”. And assessment of students related to learning media obtained a percentage value of 84.9% classified as “very feasible”. The total value of development testing carried out conducted on 31 SMKN 3 Malang students in the pre-test of 1700 and post-test of 2070. Completeness of learning also increased from the percentage of pre-test completeness by 12% to the percentage of completeness in the post-test by 41%. And from the Wilcoxon test results obtained a significance value of .002, so it can be concluded that by applying the developed media gives an influence on learning outcomes.

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