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Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
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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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Articles 52 Documents
Search results for , issue "Vol 5 No 1 (2021): Januari 2021" : 52 Documents clear
Perancangan User Experience Aplikasi Mobile Pelayanan Kependudukan Terpadu Kota Malang Menggunakan Metode Human Centered Design Ferdinan Oky Fahrerri; Herman Tolle; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dispendukcapil is the agency that handles the creation of population files and civil registration for Malang City. In its implementation, there are still deficiencies in the process of file processing at the Malang City Administration, causing many complaints from the public. Starting from the relatively long service time, complicated management process, no estimated completion time, to complaints from the public that they have to frequently come to the Dispendukcapil office to find out whether the population files being managed have been completed. Dispendukcapil once issued a birth certificate service application in 2018. However, until 2020 only five people were registered to have registered for birth certificates through the application due to difficulties. So that this integrated population service application requires a User Experience (UX) design so that people can use it easily and efficiently. The approach used in designing this application is Human Centered Design (HCD). HCD is an approach to interactive system development that aims to create a system that focuses on user needs and can increase user satisfaction. The final result of this UX design is a high-fidelity prototype. The prototype is then evaluated using the heuristic evaluation method involving three experts as evaluators. There are sixteen findings of usability problems after evaluation. After the evaluator consolidation process was carried out, there were ten problem findings that had to be fixed. The process of improving the solution design is carried out in accordance with the suggestions given by the evaluator
Implementasi Continuous Authentication dengan Token pada Wireless Sensor Network (WSN) berbasis LoRaWAN Regita Yustania Esyaganitha; Adhitya Bhawiyuga; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless sensor network is a part of Internet of Things (IoT) used to sensing an environment, collecting the sensed data, and sending the information to a nearer gateway on the same wireless sensor network environment. Communication between sensor node and gateway needs to be connected to a wireless communication module to finally called a wireless sensor network, one of many technologies that support a wireless connection for wireless sensor network is LoRaWAN. Long-range and low-power feature that provided by LoRa making it the attractive candidate for smart sensing devices that usually used to sense temperature, air pressure, humidity, resonance, and many more according to needs. On a fast-paced moving environment, authentication between device to device is a mandatory issue that needs to be fixed to ease an authentication without enlarge the security gap. This research proposed an idea of lightweight authentication and enhanced security using a dynamic value as example is token that never have the same values for the whole communication session. With the advantage of using token with timeouts, continuous authentication supposed to reduce the possibility of invalid node or intruder node to join the existed communication. The result of this research is, continuous authentication can distinguish the valid node with the invalid one based on their id and the token value that used for authentication. Besides, the system performance with continuous authentication shows 100% success rate on an ideal time and average time needed for sensor node to generate an authentication token is 41,5 ms.
Pengembangann Aplikasi Rekomendasi Musik Berdasarkan Emosi Pengguna Pada Platform Android Muhammad Abdul 'Alim; Ratih Kartika Dewi; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Listening to music has become a hobby for everyone. Listening music does have its own charm, with a lot of genres out there, we can listen music anytime and anywhere we want. Also, with a lot of types of music too, we can match with the situation of the user. This can be a problem for music listeners who want a specific music for their taste. Example when somebody having a bad day, they tend to have a bad mood. This problem can be solved by listening to music with a slow rhythm. With problem something like this, we can make system recommendation based on user context. The Development of Application Recommendation Based on Mood User is to make android application with emotion based and using expert system method with the forward chaining method. For recommendation, playlist provided by system is derived from experts. Functional testing of the system, resulting in a valid outcome with a value of 100%. For usability testing, we are using the System Usability Scale with a value of 84. Which is categorized as excellent. Lastly, for accuracy testing, we are comparing using system output and what expert recommended as result with an accuracy value of 80%.
Pengaruh Model Mobilitas Terhadap Konsumsi Energi Protokol Routing Optimized Link State Routing (OLSR) Pada Mobile Ad Hoc Network (MANET) Hans Romario Sitorus; Primantara Hari Trisnawan; Achmad Basuki
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile ad hoc Network (MANET) is a dynamic communication network that can exchange information wirelessly by mobile nodes. This study is using Optimized Link State Routing (OLSR) as a protocol routing which is a proactive routing protocol. The main characteristic of a proactive routing protocol is a protocol that continually updates toward network topology changes by exchanging topology information at each node continuosly. This causes the proactive protocol requires high power. The mobility of mobile node on MANET also has several models including Random Waypoint, Random Walk, and Random Direction. With the nature of OLSR routing protocol that requires high power and the characteristic of mobile nodes on MANET networks that have limited power, it is necessary to know the influence of mobility models on energy consumption to build a MANET network with OLSR routing protocol efficiently. The testing scenarios in this study use two scenarios, which are based on the mobility models and based on the number of nodes. In the total energy consumption scenario with 20, 40, 60, 80, and 100 number of nodes and with Random Waypoint, Random Walk and Random Direction mobility models shows that the total energy consumption on Random Waypoint mobility has a significant difference compared to other mobility models. This is indicated by the percentage of total residual energy on Random Waypoint is 17.48% while Random Direction is 21.36% and Random Walk is 21.05%. In the average energy consumption scenario, each mobility model has increased the average value of energy consumption as the number of nodes increases with the number of nodes scenario of 20, 40, 60, 80, and 100 nodes. But in the Random Waypoint model, there is a decrease in average value of energy consumption from 791.941523 Joule at 40 number of nodes to 766.603226 Joule at 60 number of nodes. Whereas for the Random Walk and Random Direction mobility models, there was no decrease in the average value in any number of nodes scenario.
Sistem Klasifikasi Telur Ayam Fertil dan Infertil Menggunakan Fitur Tekstur Dan Metode K-Nearest Neighbor Berbasis Raspberry Pandy Aldrige Simanungkalit; Hurriyatul Fitriyah; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fertile chicken eggs are eggs that fertilized by a male and have potential to hatch while infertile eggs are eggs that not fertilized by a male. In chicken hatching management infertile eggs need to be removed from hatching machine so that they do not rot and explode in hatching machine. The removing process of infertile eggs from hatching machine doing by candling the eggs using a flashlight or lamp placed behind the eggs. In hatching industry with a large capacity doing this process is very tiring for the eyes because it requires high concentration and accuracy so this affects the consistency and accuracy of the observation results, therefor a system that classify fertile and infertile eggs constantly is needed. This study design classification system for fertile and infertile eggs based on Computer Vision with texture feature extracted using Gray Level Co-Occurrence Matrix method and classified using K-Nearest Neighbor method. To support the memory requirements for image processing the system is run on a raspberry pi device. The results of analysis and testing using K-Fold Cross Validation of Gray Level Co-Occurrence Matrix feature extraction show that the best feature combination is dissimilarity-correlation and Classification results using K-Nearest Neighbor show an accuracy rate of 93,33% on the number of neighbor K=7 and 9.
Pengaruh Pergerakan Node Pada Protokol Routing Dynamic Manet On Demand (DYMO) Dalam Mobile Ad-Hoc Network (MANET) Made Widya Anjani; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One type of Ad-hoc Network is Mobile Ad-hoc Network (MANET) is a collection of nodes that can move and communicate in a network. The move node causes the topology on the MANET network to change frequently. In addition, there is a possibility that nodes will move away from neighboring communication range. It can increase the risk of path failures for connection and impact network performance. The mobility model of one another can produce different results on each routing protocol. Testing is required to select the appropriate mobility models. This research uses the Dynamic MANET On Demand (DYMO) routing protocol and is applied with the mobility models of Random Waypoint (RWP) and Random Direction (RD). The research was conducted using Network Simulator 2.35 to perform the scenario of adding the number of nodes, the addition of the simulation area and the addition of maximum speed. The test parameters for each scenario are packet delivery ratio (PDR), end-to-end delay, throughput and packet loss. The effect of RD movement when testing the area, causes the width of the distance between nodes because the node moves to the edge of the simulation area so that packet loss is high compared to RWP where the distance between nodes is shorter because the movement is random in the middle of the simulation area. The results showed an average PDR value for RWP of 98.60% while RD was worth 96.16%. Then the average packet loss for RWP is 1.40%, while RD is worth 3.84%.
Pemanfaatan Teknologi RESTFul Web Service pada Pengembangan Sistem Informasi Penilaian Probinmaba (Startup Academy) (Studi Kasus: Fakultas Ilmu Komputer Universitas Brawijaya) Alfa Fadlilah; Issa Arwani; Dian Eka Ratnawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The New Student Development Program (Startup Academy) is an introduction to campus life in the Faculty of Computer Science (FILKOM). Students who do not pass the Startup Academy cannot become members or administrators of Student Organizations in the Faculty of Computer Science. The difficulty in accessing this data has caused several institutions to continue recruiting students who did not pass Probinmaba (Startup Academy) because they did not know their graduation status. This caused the values ​​that were expected to be conveyed to new students in the Student Orientation to be meaningless and many laws were violated by the organization management and the new students themselves. Based on these problems, one effort that can be done is to build a system as an assessment information center that can help institutional administrators in accessing student graduation data. The system built also aims to make it easier for the executive committee to manage assessment data from year to year and general students to find out the details of the value and archive of their graduation certificates. The API that was built is intended for institutions that want to integrate the admission selection system for the management with existing graduation data. To test whether the system being developed meets the needs, a REST API, functionality, compatibility and usability test is carried out. The success rate of the test is 100% valid. This system is acceptable and according to user requirements.
Pengembangan Aplikasi Sistem Bimbingan Penasehat Akademik (PA) Jurusan Sistem Informasi Filkom UB Berbasis Mobile Native Android Togan Jagat Raya; Herman Tolle; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Information Systems Department at the Faculty of Computer Science is one of the departments that has accreditation A at Brawijaya University. In order to provide quality education for its students, apart from providing academic knowledge, the Information Systems Department also provides guidance, motivation, and academic advice to students which is known as academic advisory guidance. Academic advisory guidance has been standardized according to the curriculum of the Information Systems Department, but this guidance is still carried out conventionally and manually, starting from collecting the forms, filling the forms, procedures for guidance, and obtaining the results. Therefore, with this application, the guidance of a fairly complex academic advisor can be done simply because in this application can processes some data automatically, such as the calculation of GPA and SKS, student GPA and SKS categories, and so on. This system is implemented on the Android platform. Blackbox test results produce 100% valid functionality. Whereas in usability testing, interface measurements are carried out to measure general user measurements of applications from 5 respondents, resulting in a total score of 72.5.
Implementasi Skema Anti-Collision Menggunakan Metode TDMA dan TPSN pada Sistem WSN Berbasis LoRa Fajar Hamid Embutara Ratuloli; Agung Setia Budi; Adhitya Bhawiyuga
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The usage of LoRa-based Wireless Sensor Network (WSN) overcomes a common problem of WSN, that its communication capabilities over a near range. LoRa is a radio spectrum modulation technology that accommodates long distances communication with low power consumption. But the current weakness of system, the delivery data is interfering with each other which causes data loss. Time Division Multiple Access (TDMA) method is used to avoid this problem. TDMA is a scheduling method that divides by timeslot, and it compatible with LoRa because it works on single frequency. In a TDMA implementation, all device times must be synchronized with each other so that sending scheduling can occur. Time Synchronization Protocol for Sensor Network (TPSN) method is used as a time synchronization method that supports the WSN system. The implementation of TPSN is divided into 2 phase, namely the Discovery Phase and the Synchronization Phase. Functionality testing is carried out so that the system can works as needed. The accuracy testing of time using the TPSN method obtained results of 79.7%. Performance testing of delivery scheduling using the TDMA method shows that the increase in delivery time is 28.37 milliseconds at sensor node 1 and an increase in delivery time is 37.11 milliseconds at sensor node 2.The success rate in delivery using the TPSN and TDMA methods is 96%.
Deteksi Hipoksia Berdasarkan Detak Jantung, Saturasi Oksigen, Volume Dan Irama Pernafasan Menggunakan Metode K-Nearest Neighbor Leina Alimi Zain; Rizal Maulana; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Symptoms of hypoxia are a condition caused by a lack of oxygen in the cells and tissues of the body and this condition can cause damage to the nerves of the brain, liver and other organs which will lead to death. The use of technology in the medical field has created a system to detect hypoxic symptoms using the K-Nearest Neighbor method. The detection system using the K-Nearest Neighbor method can be carried out in knowing the condition of a person's body without injuring the body or it is called non-invasive. Retrieval of heart rate and oxygen saturation data using the MAX30100 sensor by placing the index finger on the red LED component and the IR photodiode component. It takes 20 seconds and the finger must not move during the take to get the optimal value. In taking the volume and rhythm of breathing is done using a Flex sensor. The hardware used is the Arduino Mega, the MAX30100 sensor and the Flex sensor. The level of accuracy on 10 tests on the MAX30100 sensor is 97.07% and the accuracy level obtained on the Flex sensor is 92.77%. In classifying using the K-Nearest Neighbor method, there is a level of accuracy at the k = 3 value of 90% k = 5 by 80% and k = 7 by 70% and there is a computational average of 3.37 ms in 10 tests.

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