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Journal of Information Technology and Computer Engineering
Published by Universitas Andalas
ISSN : 25991663     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Journal of Information Technology and Computer Engineering (JITCE) is a scholarly periodical. JITCE will publish research papers, technical papers, conceptual papers, and case study reports. This journal is organized by Computer System Department at Universitas Andalas, Padang, West Sumatra, Indonesia.
Arjuna Subject : -
Articles 78 Documents
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Sistem Pendeteksi Gejala Awal Tantrum Pada Anak Autisme Melalui Ekspresi Wajah Dengan Convolutional Neural Network Nefy Puteri Novani; Dini Ramadhani Salsabila; Ratna Aisuwarya; Lathifah Arief; Nelia Afriyeni
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 02 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.02.93-106.2021

Abstract

Tantrums are outbursts of anger and they can occur at any age. An attitude tantrum or what is commonly referred to as a temper tantrum is a child's outburst of anger that often occurs when a child shows negative behavior. Emotional outbursts of tantrums that occur in children with autism are not only to seek the attention of adults, but also as an outlet for a child's feelings for parents and those around him on a whim or feeling he is feeling, but the child cannot convey it. For this reason, researchers propose a system for detecting early symptoms of tantrums in children with autism through facial expressions with CNN. The CNN method is one of the deep learning methods that can be used to recognize and classify an object in a digital image. Then the preprocessing process is carried out using labeling on the data. Then the CNN architecture is designed with input containing 48x48x1 neurons. The data was then trained using 357 epochs with an accuracy rate of 72.67%%. Then tested using test data for children with autism to get an average accuracy value of 72.67%%.
Rekomendasi Strategi Sosialisasi Program Studi Melalui Jalur Undangan Menggunakan Algoritma ID3 dan K-Means Muhammad Azhar Hairudin; Hazriani Zainuddin; Yuyun Wabula
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 01 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.01.14-18.2022

Abstract

Based on data obtained from SPAN-PTKIN registrants in 2018 and 2019, the number of interested people through the invitation path who chose the study program at UIN Alauddin as the first choice was 30523 records. Analysis using the ID3 algorithm found that those who interested in the study of religions were more dominant from vocational students. While analysis using the K-Means shows the regions / regencies from which those interested in study programs of religions are spread in 35 regencies / cities. It can be concluded that the socialization of study programs of religions through the invitation path is recommended to be more focused on SMAs that are located in 33 districts / cities as identified in cluster 3. The study programs of religions are prioritized, because these study programs experienced the lowest number of registrants. It is expected that by implementing this recommended strategy, the number of interested prospective new students will draw a significant increase in the future.
ADBR: Accelerated Depth-Based Routing for Underwater Sensor Networks Abdolreza Andalib; Fariba Abbasi Nia; Mojtaba Jamshidi; Abdusalam Abdulla Shaltooki; Mehdi Esnaashari
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 01 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.01.19-28.2022

Abstract

It is challenging to propose an efficient routing algorithm for Underwater Wireless Sensor Networks (UWSNs) in terms of packet delivery ratio, end-to-end delay of packet delivery from the source to the destination, and energy consumption. The reasons of that are UWSNs have unique characteristics (e.g. using acoustic channels instead of radio channels for communications), and they have dynamic topology due to the movement of the sensor by the water flow. Depth-Based Routing (DBR) considers one of the well-known algorithms in this context. DBR is a very simple algorithm; however, it is inefficient in terms of packet delivery rate, end-to-end delay, and energy consumption. This study we developed DBR by adding an accelerated routine to it to improve its efficiency, the proposed algorithm; called Accelerated Depth-Based Routing (ADBR). In ADBR, a simple probabilistic mechanism is used to accelerate packet forwarding and provide more multi-path to the destination. In ADBR, each node immediately delivers received packet to the destination with a probability of and follows the DBR routine with a probability of 1 – Pf. The performance of ADBR is evaluated via a set of experiments by using J-SIM simulator. Experimental results indicate the superiority of the ADBR over the DBR algorithm.
The Smart Agriculture based on Reconstructed Thermal Image Ismail Ismail
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 01 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.01.8-13.2022

Abstract

The utilization of thermal image in supporting precision agriculture is tremendous nowadays. There are many applications of thermal images in agricultural fields, such as detecting crop water stress, monitoring of free-range rabbits, measuring of crop canopy temperature and so on. Furthermore, the importance of thermal camera became the urgent need of perform the smart agriculture. Otherwise, the price of thermal camera is very expensive todays. Then, this kind of camera is not easy to find in the market. Therefore, it makes the utilization of implementation thermal images difficult. In order to handle this problem, the proposed method intends to generate thermal image from visible images. Further, the thermal information concerning with the agriculture, especially the fertility of leaves in paddy fields and the water stress can be monitored. The proposed method uses deep learning architecture to learn the thermal and visible image dataset. It applies Generative Adversarial Network architecture. This GAN pre-trained model trained using 150 images of training dataset and tested using many images of testset. The obtained model is used for generating thermal images from visible images. The results show the constructed thermal image has high accuracy. The assessment metric uses SSIM and PSNR methods. Their indexes show that the results have the high accuracy. The visual assessment shows the reconstructed thermal images also have high precision. Finally, the constructed thermal images can be implemented in smart agriculture purposes.
Automatic Ceiling Fan Control Using Temperature and Room Occupancy Benjamin Kommey
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 01 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.01.1-7.2022

Abstract

This paper presents the design and implementation of an automatic ceiling fan speed regulator using web camera and a temperature sensor. Fans have become a very important aspect of our daily lives to present us with comfort especially in hot climates. However, they come with some attendant issues such as a person having to move to where the fan regulators are placed to be able to adjust the speed of the fan. This can be difficult as temperatures change during the day as well as at night when one is asleep. This also poses a problem for physically challenged individuals with mobility difficulties. This project seeks to design a solution that involves automatic fan regulation. This was achieved using a temperature sensor, a camera that captures images, and a system intelligent unit that processes the captured images to detect occupancy. The speed of the fan is then automatically adjusted based on the room temperature and occupancy. The system was implemented on a raspberry pi, a resource constrained edge computing environment.
Robot Pembersih Lantai Menggunakan Sensor LM393 dan Ultrasonik Berbasis Arduino Uno Rina Mardiati; Nur Aziz; Edi Mulyana; Teddy Yusuf
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 01 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.01.29-34.2022

Abstract

Pada era zaman modern saat ini teknologi robot mengalami kemajuan yang sangat pesat khususnya pada robot pembersih lantai. Robot pembersih lantai ini berguna untuk meringankan pekerjaan manusia di bidang rumah tangga. Pada penelitian ini dikembangkan sebuah prototipe robot pembersih lantai dengan menggunakan sensor LM393 dan sensor ultrasonik. Robot ini memiliki fitur alat pembersih sebagai vakum dan alat pel. Sensor ultrasonik digunakan sebagai alat pendeteksi jarak, sedangkan sensor LM393 digunakan sebagai penghitung putaran motor sehingga kecepatan motor stabil sesuai dengan yang diprogramkan pada mikrokontroler arduino uno. Input yang digunakan pada sistem ini adalah jarak dari sensor samping kanan, kiri dan depan yang diperoleh dari sensor ultrasonik. Sementara itu, output dari sistem ini adalah PWM motor DC kiri, PWM motor DC kanan, dan LCD yang menampilkan posisi gerakan robot. Pada penelitian ini dilakukan beberapa pengujian meliputi pengujian modul sensor ultrasonik dan sensor LM393, pengujian kinerja fitur vacum, pengujian kinerja alat pel, serta pengujian sistem secara keseluruhan. Berdasarkan hasil pengujian yang dilakukan terhadap sensitifitas jarak pantul sensor ultrasonik memiliki nilai selisih error 0,898% yang menandakan sensor ini berfungsi dengan baik. Hasil dari pengujian vacum diperoleh bahwa vacum dapat menghisap debu rata-rata 2,4 gram dari lima percobaan yang menunjukkan kinerja vacum cukup baik. Hasil pengujian alat pel dan pengujian keseluruhan menunjukan bahwa selisih error kemampuan robot membersihkan ruangan berukuran 2 m x 2 m dengan bahan kain pel greenwoll ditempuh dalam waktu 4,036 menit sedangkan menggunakan bahan katun adalah 4,31 menit.
Penerapan Teknologi Augmented Reality Sebagai Media Pembelajaran Aksara Jawa Untuk Siswa Kelas 3 di SDN Jenang 01 Riadi Windika; Novian Adi Prasetyo; Shintia Dwi Alika
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 02 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.02.35-43.2022

Abstract

Javanese script is a part of Javanese culture which is owned by Javanese society which should be preserved. One of the efforts to preserve it is by introducing Javanese script in formal education. Javanese language subjects are local content that must be taken by students from grade I to grade VI elementary school students. Javanese script began to be introduced to third grade elementary school students. Javanese script is one of the basic competencies that most students do not understand because most students consider Javanese script a difficult material to learn because of its various forms and complicated writing rules. Therefore, to overcome the above problems, a learning innovation using augmented reality technology is needed. With this application, it is hoped that students can be helped in understanding Javanese script material. Java script learning applications are made using the Waterfall method with the development of augmented reality, namely marker based tracking. The output of this application is that the application will display a video on the smartphone screen that contains learning material for Javanese script. In the black box test results on functional testing obtained a percentage of 99.7%, camera distance testing obtained 66.25% results, camera angle testing obtained 75% results, light intensity testing obtained 100% results. In the usability test results, the Carakan application obtained an adjective rating of 71.54 in the Good category, obtained a grade scale result in the C category, and obtained acceptability ranges in the acceptable category.
Rancang Bangun Sistem Pengering Putar untuk Rumput Laut Berbasis Mikrokontroler Nefy Puteri Novani; Awal Afif
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 02 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.02.44-49.2022

Abstract

Eucheuma cottonii is a type of seaweed that is cultivated in the coastal area of Nagari Sungai Pinang, Koto XI Tarusan District, Pesisir Selatan District, West Sumatra Province. Before being sold, seaweed farmers must dry their seaweed first, because what can be sold is dried seaweed. Drying the seaweed takes two to three days depending on the weather conditions. In this research a seaweed drying system has been designed with a tool that rotates the seaweed in the drying chamber. In this rotary drying system, the soil moisture sensor is used which functions to detect the moisture content of the seaweed, if the moisture content of the seaweed is still read > 30% then the microcontroller turns on the relay which forwards instructions to the heater and the DC motor starts rotating the player container. The DS18B20 sensor is used to detect the temperature of the drying chamber, if the total moisture content of the seaweed is 30%, then the state of dry seaweed has been reached. Tests have been carried out to determine the difference in time required between the seaweed drying process using the system that has been built in this study and the seaweed drying process that utilizes direct sunlight. To achieve a moisture content of 30% in the seaweed drying process with the system designed in this study it takes an average of ±50 minutes, while using direct sunlight it takes ±9 hours to dry the seaweed.
Continuous Integration and Continuous Deployment (CI/CD) for Web Applications on Cloud Infrastructures Alde Alanda; Hanriyawan Adnan Mooduto; Rizka Hadelina
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 02 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.02.50-55.2022

Abstract

At this time, the application development process has experienced much development in terms of tools and the programming language used. The application development process is required to be carried out in a fast process using various existing tools. The application development and delivery process can be done quickly using Continuous Integration (CI) and Continuous Delivery (CD). This study uses the CI/CD technique to develop real-time applications using various programming languages implemented on a cloud infrastructure using the AWS codepipeline, which focuses on automatic deployment. Application source code is stored on different media using GitHub and Amazon S3. The source code will be tested for automatic deployment using the AWS code pipeline. The results of this study show that all programming languages can be appropriately deployed with an average time of 60 seconds
LoRa Communication in the Service Level Monitoring Satu Duit Bogor Bridge Sulis Setiowati; Riandini Riandini; Via Arsita Sari; Indah Luthfiyyah Purwanti; Noval Andriansyah
JITCE (Journal of Information Technology and Computer Engineering) Vol 7 No 01 (2023): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.19-28.2023

Abstract

Lora is the solution to the problem of the need for long-distance two-way communication between machines that are targeted by IoT (Internet of Thins. LoRa has long-distance transmission capabilities, has power, and a low bit rate. Based on the needs related to LoRa, further research is needed, to analyze the performance of LoRa communication. The LoRa communication protocol will be applied to the One Duit Bogor bridge monitoring system using the Website and LabVIEW. This study used LoRa SX1276 with a frequency of 915MHz with the LoRa point-to-point method and LoRa gateway. The parameters analyzed include RSSI (Received Signal Strength Indicator), SNR (Signal to Noise Ratio), Delay, Throughput, and Packet loss to determine the quality of LoRa performance with TIPHON standards. Based on the tests that have been carried out, it proves that LoRa communication has good performance. In urban areas or around the Satu Duit Bogor bridge, LoRa can transmit data from a distance of 0 to 500 m with an average delay of 217 ms, an average packet loss of 10.237%, an average throughput of 137.881 bps, an average SNR of 7.54 dB, and an average RSSI of -71,798 dBm. At a distance of 0-400 m there is an insignificant change in LoRa parameters, but at a distance of 500 m a high change occurs, this is due to the fact that the distance greatly affects the transmission of data. The longer the range, the more obstacles will be passed so that data transmission is disrupted.

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