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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.
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Search results for , issue "Vol 5 No 4 (2021): April 2021" : 50 Documents clear
Pengembangan Perangkat Lunak untuk Otomatisasi Pengecekan Format Penulisan Dokumen Jurnal Skripsi menggunakan Fitur Tag pada XML (Studi Kasus JPTIIK FILKOM UB) Adhitya Wira Castrena; Imam Cholissodin; Bondan Sapta Prakoso
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

Manual document checking process could take up a lot of time and may have a high error margin if it was not done thoroughly. One of its solution is by using an automatic document checker. An automatic document checker by its definition can significantly reduce the process time. In other words, more document can be checked in the same amount of time. In this research, we use journal from JPTIIK, an organization under Faculty of Computer Science, University of Brawijaya, as a base for the application research. The methods used in this research are string matching on the XML document. The program collects metadata that contains informations about the document, such as font types, font sizes, text modification such as bold, italic, or underline, margin, and many other data. This group of metadata will be compared to the set of rules set before on the application, which was based from the template provided by JPTIIK. The result shows that the program could detect mistakes on the journal and write it into a summarized PDF document that can be read easily by the user. The user then can uses this result as a guidance to fix their journal.
Klasifikasi Diagnosis Penyakit Diabetes Gestasional pada Ibu Hamil menggunakan Algoritme Neighbor Weighted K-Nearest Neighbor (NWKNN) Vinesia Yolanda; Imam Cholissodin; Putra Pandu Adikara
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

Gestational diabetes is a state of high blood sugar levels that occur during pregnancy. The presence of this disease is common and usually occurs in the 24th to 28th week of pregnancy. However, the condition of this high blood sugar level cannot be underestimated because it can cause several complications that can harm both mother and baby. In addition, untreated gestational diabetes can also increase the risk of type 2 diabetes for both mother and baby in the future. The cause of the onset of gestational diabetes is not certain. However, gestational diabetes is a multifactorial disease which the presence can be caused by various factors that play a role in increasing the risk of this disease. Therefore, gestational diabetes becomes difficult to diagnose because doctors need to consider these factors, analyze them, and compare them with previous patients under similar conditions. Eventually, the diagnosis depends on the doctor's interpretation and is prone to human error. A solution that can be applied is by using a classification algorithm that can identify the presence of gestational diabetes. Pima Indians Diabetes Dataset is a dataset that is widely used in some research of diabetes prediction. This dataset has a characteristic of imbalanced data, so that Neighbor Weighted K-Nearest Neighbor (NWKNN) can be applied to the dataset. By deleting data containing missing value and testing the value of K and E of NWKNN, the best results for sensitivity was 0,8125, specificity was 0,8788, and F1 score was 0,7879 were achieved at K = 25 and E = 2. Meanwhile for k-fold cross-validation testing, the NWKNN algorithm was found to be better than K-Nearest Neighbor (KNN). The best results were obtained by 4-fold cross-validation test i.e. sensitivity was 0,6043, specificity was 0,8703, and F1 score was 0,6383.
Pemetaan dan Rekomendasi Papan Reklame Tetap berbasis WebGIS: Studi Kasus Jade Indopratama Dennie Novandhika; Fatwa Ramdani; Alfi Nur Rusydi
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

Malang City has many fixed billboard locations for rent. Noted there are more than 100 permanent billboards scattered in the city of Malang. Based on the distribution, there was a problem related to the information that the billboards had provided. Potential advertisers are not easy to get information about the distribution point of the billboard location. This problem occurs because there is no WebGIS that displays fixed billboard maps. Therefore there is a need for WebGIS mapping and permanent billboard recommendations to overcome this problem. WebGIS mapping and billboard recommendations are still being built using agile development methods. Billboard recommendations on WebGIS are determined using Tsukamoto's fuzzy calculation formula. WebGIS, which was completed, produced an interface consisting of narration and digital maps. Digital maps on WebGIS include markers, search features, filter features, specification information, photos, and photosphere from billboards. WebGIS is tested using the usability and compatibility parameters. Based on the usability test results, WebGIS can be said to be excellent or can be used easily. Based on compatibility test results, WebGIS can be said to be compatible in several browsers such as Edge, Opera, Chrome, iOS, and Android. WebGIS that has been built and tested is expected to be useful for all users.
Sistem Monitoring Kebocoran Gas Berbahaya di Lingkungan Kawasan Industri berbasis Bluetooth Low Energy (BLE) Bambang Gunadi; Nurul Hidayat; Arief Andy Soebroto
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

Some factories have been using gas as a source of combustion fuel for production purposes, resulting in emissions from the combustion process. Most of the gas used for the fuel source consists of methane gas or CH4. Meanwhile, emissions from the combustion system are in the form of carbon monoxide gas or CO. One of the technologies in the industrial sector that can observe gas leaks and air quality in industrial areas is the Wireless Sensor Network technology. Wireless Sensor Networks are a set of nodes that are arranged in a wireless network to monitor the surrounding environment and able to communicate with each other through protocols, one of which is Bluetooth Low Energy. Compare to the other protocols, there are some advantages that Bluetooth Low Energy has such as better power savings, being able to send data quickly, easy configuration, and a wide coverage. Therefore, the researcher decided to conduct a research by applying Bluetooth Low Energy in real life, by observing temperature, humidity, CH4 gas and CO gas levels. Through Bluetooth Low Energy, Raspberry Pi is able to send observations to the clients. In this study, two scenarios are used to test the delivery performance of Bluetooth Low Energy. The scenarios are changes in distance without obstacles and changes in distance with obstacles. The test results showed that the change in distance without obstacles and with obstacles had an average total delay of 0.0752 ms and 0.1587 ms.
Analisis Pengalaman Pembelajaran Jarak Jauh Secara Online pada Siswa SMA (Studi Kasus SMA Negeri 4 Malang) Hening Endawila Noviani; Diah Priharsari; Yusi Tyroni Mursityo
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

The Covid-19 pandemic is a health crisis that is currently occurring in all countries, including Indonesia. The application of Social Distancing affects all activities in aspects of life, one of which is in the field of education. Until now, the application of online distance learning methods is considered the right solution for learning activities during the Covid-19 pandemic. The application of online Distance Learning (PJJ) certainly provides new experiences for students. The purpose of this study aims to analyze the experiences felt by students during the online Distance Learning Process (PJJ) for high school students, especially SMA Negeri 4 Malang majoring in Mathematics and Natural Sciences (MIPA). The method used to perform the analysis is thematic coding analysis technique with data collection methods, namely interviews conducted online by telephone. The results of this study indicate that the application of Distance Learning (PJJ) online provides a pleasant experience for students, namely distance learning has time flexibility in its implementation. The results of the study found that experiences that were felt to be unpleasant for students were lack of understanding of the subject matter, lack of recognition of teacher characteristics as well as obstacles faced related to accessibility, environment, and technology.
Implementasi Metode Ephemeral Diffie Hellman Over Cose (EDHOC) pada Wireless Sensor Network (WSN) sebagai Mekanisme Autentikasi berbasis Modul Komunikasi LoRa I Gede Wahyu Sanjaya; Adhitya Bhawiyuga; Reza Andria Siregar
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

In general WSN can be build with one node and one gateway. Comunication between node sensor and gateway using other device that support wireless network as bridge such as LoRa. WSN with LoRa does not have authentication system. If considering in few years, system without continous authentication also has a big risk so that is became a requirement to have countinous authentiction. With countinouse authentication node and gateway can still recognize their valid pair. Give more protection while comunicating. Use Ephemeral Diffie Hellman Over COSE (EDHOC) method as alternatif solution for fixing problem with key management approach. For reducing other party or illegal attacker probability of sniffing and eavesdropping while communicating. The result of this research found out system generate new key based on time configuration that already set for updating key authentication. Other than that performance system after applying countinous authentication has a significant effect such as does not impact delivery time and giving extra protection while communicating.
Analisis Dan Evaluasi Proses Bisnis Menggunakan Metode Failure Mode And Effect Analysis (Fmea) (Studi Pada Dinas Perpustakaan Dan Kearsipan Kota Batu) Hisam Rahman Hakim; Aditya Rachmadi; Alfi Nur Rusydi
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

The Office of Library and Archives of Batu City is an agency that has the main task and function of organizing public services in the field of literature and archives in the Batu City area. There are several problems that occur in the business processes that are carried out, especially in library services, such as getting complaints from library visitors, unfulfilled visitor requests and the loss of several collections of reading materials. Due to this, it is necessary to evaluate business processes to find out more about problems and find solutions. The initial step taken was to identify the ongoing business processes using the "Regulation of the Minister of State for the Empowerment of State Apparatus and Bureaucratic Reform Number 19 of 2018 concerning the Preparation of Business Process Map for Government Agencies" as a guide in identifying. Furthermore, modeling business processes using Business Process Modeling Notation (BPMN). The next stage is to analyze business processes using Failure Mode Effect Analysis (FMEA) to obtain potential problems with the highest RPN value and then formulate a recommended solution. The results of the formulation of recommendations for problem solutions are four types of information systems or IT infrastructure, namely Inventory Information Systems, integrated Online Service Calendar, Mail Information Systems, Digital Signature with IS / IT business benefits that can meet the principles of Responsiveness, Effectiveness and efficiency, Accountability and Transparency in Good governance.
Implementasi Discovery Protocol pada Smart Home Menggunakan Media Komunikasi Bluetooth Low Energy Rahmanda Nur Sidik; Agung Setia Budi
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

Internet of Things (IoT) is a wireless network technology that has changed our world significantly and has become a part of the technology industry which is very important at this time, involving interconnected devices and sharing all types of data with each other that can be controlled using the Internet or other communication media such as Bluetooth. This research utilizes Universal Plug and Play (UPnP) and Bluetooth Low Energy (BLE) using the ESP32 module because it is suitable to be applied to an IoT-based smart home environment. The first reason is that BLE has advantages over other wireless technologies such as Wi-Fi, ZigBee, and Bluetooth Classic. The advantages possessed by BLE include easy configuration, fast data transmission method, wide signal coverage distance, and does not consume relatively large amounts of power. For network protocols using UPnP which is useful for connecting devices functionally. UPnP's discovery protocol method is Simple Service Discovery Protocol (SSDP), when a device enters the SSDP network, it allows the device to advertise to network control points. The control point or master on the network can scan and receive data from the intended advertising device. By customizing UPnP and BLE using the ESP32 module we can implement a system discovery that is for effectiveness on IoT in a smart home environment. The results obtained in this study are quite good with the success rate of BLE discovery performance of 100% and the processing time to connect between devices with an average of only 4 seconds..
Implementasi Bagging Naive Bayes untuk Klasifikasi Stenosis Left Anterior Descending (LAD), Left Circumflex Artery (LCX) dan Right Coronary Artery (RCA) dalam Diagnosis Coronary Artery Disease (CAD) Amalia Luhung; Muhammad Tanzil Furqon; Candra Dewi
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

Coronary Artery Disease (CAD) is a disease that occurs due to the accumulation of atherosclerotic plaque that causes blockage (stenotic) in the tunica intima lining of coronary arteries. The coronary arteries are Left Anterior Descending (LAD), Left Circumflex Artery (LCX), and Right Coronary Artery (RCA). Stenosis in coronary arteries can cause heart attacks and even death. Diagnosis needs to be done quickly to reduce the impact of CAD so, a system was built to help find out LAD, LCX, and RCA stenosis through classification. Classification is done to classify patients' coronary arteries into normal or stenotic classes using the Bagging Naive Bayes method. This method allows the classification to be carried out by several predictor models made based on bootstrap by sampling with replacement to get aggregate results. The steps taken to implement this method are preprocessing, bootstraping, Naive Bayes classification, voting. The highest accuracy in the LAD classification obtained was 0.7573 when the classification was done using 200 data, 25 bootstrap samples (T), and the classification was carried out with all features. Its result ​​of precision, sensitivity and specificity are 0.8065, 0.7938, and 0.7012. In LCX classification the highest accuracy achieved is 0.7282 when the classification is done using 200 data, T = 1, and the classification is done with the features selected. Precision, sensitivity, and specificity result are 0.9042, 0.7262, and 0.7368. Whereas in the RCA classification the highest accuracy achieved is 0.7282 when the classification was carried out using 150 data, T = 1, and the classification was carried out with the results of the selection of precision, sensitivity and specificity values ​​0.9242, 0.7262, and 0.7368. The intended feature selection method is Pearson's chi-squared and One-way ANOVA.
Alat Pendeteksi Uang untuk Tunanetra menggunakan Metode Histogram of Oriented Gradients dan K-Nearest Neighbor Nico Dian Nugraha; Fitri Utaminingrum; Hurriyatul Fitriyah
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

Banknotes that distributed by scammers would causes restlessness in society, including blind people. With impairment vision, blind people would hard to distinguish between genuine and fake money. From that problem there would be a research about nominal and authenticity detection system for blind people. The detection system consists of camera as a sensor device to detect picture from the banknote, followed by ultraviolet lamp to tell about the genuine banknote, and speaker as the output from this system. Output would generate voice as the nominations and tell if it is genuine or fake banknote. Code program on this system were written in Pyhton language with Raspberry Pi hardware, Webcam sensor camera, and ultraviolet lamp. Detecting banknotes would use Histogram of Oriented Gradients method and using K-Nearest Neighbour method to classify banknote. Around 3370 data training were used to detect about authenticity of the banknotes and the detections were tried for 56 times. implementation of K-Nearest Neighbor method using k=3 obtained an accuracy result of 98.21% with an average compute time of 3608 ms.

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