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Kota pekanbaru,
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INDONESIA
IT JOURNAL RESEARCH AND DEVELOPMENT
Published by Universitas Islam Riau
ISSN : 25284061     EISSN : 25284053     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
Information Technology Journal Research and Development (ITJRD) adalah Jurnal Ilmiah yang dibangun oleh Prodi Teknik Informatika, Universitas Islam Riau untuk memberikan sarana bagi para akademisi dan peneliti untuk mempublikasikan tulisan dan karya ilmiah di Bidang Teknologi Informatika. Adapun ruang lingkup dalam jurnal ini meliputi bidang penelitian di teknik informatika, ilmu komputer, jaringan komputer, sistem informasi, desain grafis, pengelolaan citra dan multimedia.
Arjuna Subject : -
Articles 212 Documents
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Sistem Pemesanan Menu Pada Restoran Berbasis Android Panji Rachmat Setiawan; Muhammad Syaifullah; Pandu Pratama Putra
IT Journal Research and Development Vol. 5 No. 2 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.vol5(2).5866

Abstract

Pelayanan restoran dapat menentukan tingkat kepuasan pelanggan, dan akan berpengaruh terhadap eksistensi nya suatu restoran. Banyak hal yang mempengaruhi tingkat kepuasan pelanggan, salah satunya adalah bentuk pelayanan berupa menu makanan dan minuman kepada pelanggan pada suatu restoran. Penyajian menu makanan dan minuman kadang membuat para pelanggan bingung, bagaimana bentuknya, apa komposisi dari makanan atau minuman, kandungan gizi, hingga terkadang harga dari makanan dan minuman tidak dicantumkan. Android merupakan suatu sistem operasi yang ada pada teknologi selular. Hingga saat ini, pengguna android khususnya di Indonesia sudah mencakup kepada setiap kalangan. Android dapat memenuhi kebutuhan masyarakat dengan cara mengembangkan apllikasi untuk sistem operasi android. Banyak pengembangan aplikasi android bertujuan untuk memenuhi kebutuhan masyarakat sesuai dengan permasalahan yang ada. Pengembangan dari aplikasi android awalnya akan menggunakan data yang bersifat dummy, dan selanjutnya akan menggunakan data asli yang terjadi di lapangan. Pengembangan sistem aplikasi pemilihan menu pada restoran akan menggunakan aplikasi android, yang mana aplikasi ini akan membantu pelanggan, aplikasi ini akan dapat memberikan kandungan nutrisi pada makanan, informasi intoleransi bahan makanan, dan dapat mengumpulkan data yang menunjukkan tingkat kepuasan pelanggan serta data yang bertujuan untuk melihat tingkat selera pada suatu makanan.
Mengatasi Cold Start New User dalam Sistem Rekomendasi berbasis Pendekatan Hybrid: Review dan Analisis Bibliometrik Nasy`an Taufiq Al Ghifari; Benhard Sitohang; Gusti Ayu Putri Saptawati
IT Journal Research and Development Vol. 6 No. 1 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.vol6(1).6118

Abstract

Increasing number of internet users today, the use of e-commerce becomes a very vital need. One of the keys that holds the success of the e-commerce system is the recommendation system. Collaborative filtering is the popular method of recommendation system. However, collaborative filtering still has issues including data sparsity, cold start, gray sheep, and dynamic taste. Some studies try to solve the issue with hybrid methods that use a combination of several techniques. One of the studies tried to solve the problem by building 7 blocks of hybrid techniques with various approaches. However, the study still has some problems left. In the case of cold start new users, actually, the method in the study has handled it with matrix factorizer block and item weight. But it will produce the same results for all users so that the resulting personalization is still lacking. This study aims to map an overview of the themes of recommendation system research that utilizes bibliometric analysis to assess the performance of scientific articles while exposing solution opportunities to cold start problems in the recommendation system. The results of the analysis showed that cold start problems can be solved by utilizing social network data and graph approaches.
Embedded Control System of DC Motor Using Microcontroller Arduino and PID Algorithm Alfian Ma'arif; Naufal Rahmat Setiawan; Eka Suci Rahayu
IT Journal Research and Development Vol. 6 No. 1 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.vol6(1).6125

Abstract

The development of technology has a positive effect on the trade sector, creating smartphones that can be utilized in all activities combined with the internet network. Activity that is currently growing is a mobile trader in the city of Pekanbaru. This development caused much competition, for example, in the Pekanbaru city area, especially in Sialangmunggu village. Traders around is difficult to find consumers because consumers do not have precise location and time information. Therefore, researchers aim to design and build applications by utilizing the functions of google maps and GPS (Global Positioning System) where the Algorithm to be applied is the A* algorithm whose function is to find the nearest location between buyers to mobile merchants, to accommodate data from mobile merchants where buyers can know the nearest position of the traveling merchant. Process analysis will be divided into running analysis that discusses the workings of the process of mobile traders and buyers in the field. Then the proposed system analysis of the analysis will be made by the author to maximize the process on the current analysis. By making analysis and design, the author will know the needs needed in the creation of the system. The result of using method A* is applied to displaying the merchant's route with the user, and the result can provide the fastest route to get to the trader. The use of method A* is also done to find the trader whose location is closest to the user's location, and the result can display the nearest trader.
Optimization of Educational Mobile Game Design 'Ayo Wisata ke Riau' based on User's Perspective Anggy Trisnadoli; Jan Alif Kreshna
IT Journal Research and Development Vol. 6 No. 1 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.5766

Abstract

Educational Mobile Game ‘Ayo Wisata ke Riau’ is a mobile-based educational game application that was developed in 2017 on the Android platform. The quality requirements used in this game development have been adjusted for the available Educational Mobile Games. Even though it went well, there were many complaints from users during the direct implementation survey. This becomes material for re-evaluation, whether the game is ready to be disseminated to the public. Based on this occurence, a gap analysis was carried out to see the feasibility and the need for improvements to the game application that had been built. Based on the results of the gap analysis that has been carried out, it is indicated that there is a need for significant improvements in the areas of performance and user satisfaction. So that in this study, a design reengineering was carried out that was focused on improving the two things that were considered crucial, so that the results of the design and implementation that had been improved could provide better performance and user satisfaction scores than previous developments.
High Availability Server Using Raspberry Pi 4 Cluster and Docker Swarm T Yudi Hadiwandra; Feri Candra
IT Journal Research and Development Vol. 6 No. 1 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.vol6(1).5806

Abstract

In the Industrial 4.0 era, almost all activities and transactions are carried out via the internet, which basically uses web technology. For this reason, it is absolutely necessary to have a high-performance web server infrastructure capable of serving all the activities and transactions required by users without any constraints. This research aims to design a high-performance (high availability) web server infrastructure with low cost (low cost) and energy efficiency. low power) using Cluster Computing technology on the Raspberry Pi Single Board Computing and Docker Container technology. The cluster system is built using five raspberry Pi type 4B modules as cluster nodes, and the Web server system is built using docker container virtualization technology. Meanwhile, cluster management uses Docker Swarm technology. Performance testing (Quality of Service) of the cluster system is done by simulating a number of loads (requests) and measuring the response of the system based on the parameters of Throughput and Delay (latency). The test results show that the Raspberry Pi Cluster system using Docker Swarm can be used to build a High Availability Server system that is able to handle very high requests that reach Throughput = 161,812,298 requests / sec with an Error rate = 0%.
Flood Vulnerability Analysis using Weighted Overlay Ferzha Putra Utama; Yudi Setiawan; Arie Vatresia; Julia Purnama Sari
IT Journal Research and Development Vol. 6 No. 2 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.6193

Abstract

Several areas in Bengkulu City are affected by floods every year; one of the worst is the Sungai Serut sub-district. The existence of a river that stretches along Sungai Serut also plays a role in floods over the Bengkulu area. Furthermore, this study to see the priority area over this district is still limited. Mapping flood areas is one way to provide information, especially for decision-makers in flood control using geographic information systems. Our research aims to map flood vulnerability areas based on land height, slope, and river buffer by weighting these criteria. This thematic map is the result of overlaying several maps according to the flood vulnerability criteria. The results of this study indicate that Sungai Serut is an area with "Very Vulnerable" and "Vulnerable" levels of flood vulnerability. The story of flood vulnerability is dominated by gently sloping contours, with land elevation levels mostly below 20 m above sea level. In addition, the thing that exacerbates the potential for flood vulnerability is the existence of the river that runs along the Sungai Serut sub-district.
Implementation of Agglomerative Hierarchical Clustering Based on The Classification of Food Ingredients Content of Nutritional Substances Syabdan Dalimunthe; Anggi Hanafiah
IT Journal Research and Development Vol. 6 No. 1 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.6872

Abstract

Health is something very precious. Maintaining health can be done in many ways, one of them by keeping your diet. The correct diet will keep your immune system so that it can avoid various diseases. The proper diet will also put the body in a balanced nutrition state, which all need to be nourished. Nutrient requirements include calories, protein, fat, carbohydrates, calcium, phosphorus, iron, vitamin A, vitamin B, and vitamin C with a mass of 100 grams each. To facilitate the search for nutrients needed, then build a system that can categorize food based on its nutritional status and calculate the average value of nutrients in agglomerative hierarchical clustering using average linkage. Calculation of intermediate linkage methods produces data that has some similarities to the data sought nutrients that can be seen from its index, so precise data are in each group.
Cloud-Based NAS (Network Attached Storage) Analysis as an Infrastructure as A Service (IAAS) Using Open Source NAS4FREE and Owncloud Hariyo Sasongko; T Yudi Hadiwandra
IT Journal Research and Development Vol. 6 No. 2 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.5712

Abstract

At this time, computer systems and networks are an essential part of human life. The number can see this of computer users in the office or on campus, and at school. This need has reached a relatively large number. To access data, many computer users in the network continue to increase, impacting the selection of servers, and large data storage media is necessary. Currently, the storage media that is often used to store data still uses physical media such as hard disks, flash disks that are virus-prone and easy to lose. Another problem also arises when physical storage has a relatively high price compared to cloud storage that can be accessed anywhere when needed.
Multiple Linear Regression and Deep Learning in Body Temperature Detection and Mask Detection Faisal Najib Abdullah; Mohamad Nurkamal Fauzan; Noviana Riza
IT Journal Research and Development Vol. 6 No. 2 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.7424

Abstract

In this new normal era, many activities began to operate again, such as offices, malls, etc. This creates a potential mass crowd. The public must follow health protocols as recommended by the government, including wearing masks and checking the temperature to anticipate the spread of the coronavirus. This study tested a tool that included image processing and artificial intelligence to help implement health protocols as recommended by the government. This tool connects Raspberry PI, Thermal Camera (amg8833), Pi Camera, an ultrasonic sensor with Multiple Linear Regression and Deep Learning algorithms. The purpose of this tool is to detect body temperature and detect the use of masks. The system will check on the pi camera frame whether the person is wearing a mask or not. The system is trained using the Deep Learning method to detect the use of masks. The system will check the temperature of the human body and the distance between humans and the tool. Temperature and distance data are entered in multiple linear regression formulas to get more accurate results. The processed results of the system will be displayed on the monitor screen if detected using a mask and the normal temperature will be green and if it is not detected it will be red and give a warning sound. The data is sent to the server and displayed via the web. We found that this tool succeeded in detecting body temperature within a distance of 1 to 3 meters with an accuracy of 99.49%, detecting people using masks with an accuracy of 94.71%, and detecting people not wearing masks with an accuracy of 97.7%.
New Student Drug Tests at College Using Principal Component Analysis Method Agnes Chrisnalia; Edwar Ali; Mardainis Mardainis; Rahmiati Rahmiati
IT Journal Research and Development Vol. 6 No. 2 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.7583

Abstract

Drugs are substances or illegal drugs that can endanger human life. Someone who consumes it in an inappropriate way will become dependent and even result in death. The physical characteristics of people who use drugs vary, but the more obvious characteristics are on the faces of drug users such as red eyes, stiff facial muscles, dark spots, pupils susceptible to light, sunken face shape, and dullness. The lack of physical characteristics of drug users due to similarities with other diseases makes it difficult for people to recognize them initially. However, for users whose face data has been tracked by the National Narcotics Agency, the facial data is stored in the dataset. This research was conducted with the aim of building a system that can detect and recognize prospective students whether they have ever been included in drug users recorded in the National Narcotics Agency dataset or not as one of the requirements for new student admissions to universities. The system built using the Principal Component Analysis method to process and extract images of the physical characteristics of drug users through the facial image data of drug users stored in the dataset. If the detected face has similarities with the characteristics in the dataset, it is necessary to suspect that the detected face is a drug user. The results of this study are the system is able to detect the faces of drug users using the Principal Component Analysis method with an accuracy of 90% and it is hoped that with this research the system can be one solution in helping universities as an identification effort to minimize drug use so that it can be an additional identification tool which strengthens someone detected using drugs.

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