Riau Journal of Computer Science
Focus and Scope Riau Journal of Computer Science diterbitkan dengan maksud untuk mengumpulkan artikel ilmiah dari peneliti, pemakalah, inovasi, prosiding seminar dan konsep ilmu pengetahuan dalam bidang ilmu komputer, informatika, sistem informasi atau yang relevan, kemudian mempublikasikan artikel tersebut. Riau Journal of Computer Science terbit 2 kali dalam setahun pada bulan januari dan juli. isi artikel yang dimuat bukan cerminan sikap dan/atau pandangan redaksi. Seluruh isi artikel menjadi tanggung jawab penulis Adapun ruang lingkup Jurnal Riau Journal Computer of Science (RJoCS) adalah: 1. Computer Architecture 2. Computer Network 3. Human—Computer Interaction 5. Virtual/Augmented Reality 6. Computer Security 7. Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods) 8. Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) 9. IT Governance 10. Networking Technology 11. Robotic Instrumentation 12. Information Search Engine 13. Multimedia 14. Mobile Processing 15. Natural Language Processing 16. Intelligence applications 17. Computer vision and speech understanding 18. Multimedia and cognitive informatics 19. Data mining and machine learning tools, heuristic and AI planning strategies and tools, computational theories of learning Artikel yang akan dimuat merupakan karya yang orisinil dan belum pernah dipublikasikan. Artikel yang masuk akan direview oleh tim reviewer yang berasal dari internal maupun eksternal Program studi S1 Teknik Informatika, Fakultas Ilmu Komputer, Universitas Pasir Pengaraian
Articles
131 Documents
<![CDATA[Sistem Informasi E-Proposal Kegiatan Kemahasiswaan (Studi Kasus: STMIK Amik Riau) ]]>
<![CDATA[Junadhi Junadhi]]>
<![CDATA[ RJOCS (Riau Journal of Computer Science) Vol. 5 No. 1 (2019): Riau Journal of Computer Science ]]>
Publisher : <![CDATA[RJOCS (Riau Journal of Computer Science) ]]>
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DOI: 10.30606/rjocs.v5i1.1745
<![CDATA[Proposal is a condition that must be fulfilled in making an activity. An activity cannot work if the proposal is not approved or without a proposal. The effectiveness of proposal management greatly influences the running of an activity. If the acceptance of the proposal is still by binding and sent to the recipient's room and the examination of the old proposal will hamper the implementation of an activity. Therefore making the proposal management system better, more effective and more efficient will help the activities themselves. This system offers online based using the PHP programming language, and MySQL database. The process of the e-proposal system involves student organizations, student affairs, and administrators as actors of the e-proposal system. The e-proposal system provides a system of submission, examination up to filing activity proposals, and a tracking system that makes it easier for student organizations to monitor the proposal. Overall the e-proposal system makes the performance of each part involved effective. Effective performance will make proposal management more efficient]]>
<![CDATA[SISTEM INFORMASI GEOGRAFIS PEMETAAN DAERAH RAWAN BEGAL BERBASIS WEB DI KOTA PEKANBARU ]]>
<![CDATA[Yuda Irawan]]>
<![CDATA[ RJOCS (Riau Journal of Computer Science) Vol. 5 No. 1 (2019): Riau Journal of Computer Science ]]>
Publisher : <![CDATA[RJOCS (Riau Journal of Computer Science) ]]>
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DOI: 10.30606/rjocs.v5i1.1746
<![CDATA[Pekanbaru City Police Department said that the level of crime in security and public order increased in 2017 compared to the previous year. In 2016 there were 1,847 cases, up to 2,043 cases in 2017. Far enough, around 196 cases, or 9.59 percent, were data recorded by the police of Pekanbaru resorts. The most prominent cases were theft with weights (Curat), which were 381 cases. The second is cases of narcotics and illegal drugs with 234 cases. Whereas the third rank is the case of motor vehicle theft (Curanmor) and the hijacking which is currently rife again in the city of Pekanbaru because almost every day there is news about cases of halt that occurred in the City of Pelanbaru. Geographic Information Systems (GIS) can be presented in the form of desktop applications or web-based applications that can provide an explanation of an event, make forecasting events, and other strategic planning by mapping the position of objects on the surface of the earth. It is very much needed by Pekanbaru people and immigrants to get information and find out about the location of vulnerable criminal areas in the city of Pekanbaru]]>
<![CDATA[Prediksi Pembukaan Peluang Usaha Di Kecamatan Medan Amplas Menggunakan Algorima Naive Bayes ]]>
<![CDATA[Yulia Fatmi]]>
<![CDATA[ RJOCS (Riau Journal of Computer Science) Vol. 5 No. 1 (2019): Riau Journal of Computer Science ]]>
Publisher : <![CDATA[RJOCS (Riau Journal of Computer Science) ]]>
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DOI: 10.30606/rjocs.v5i1.1747
<![CDATA[Naive Bayes algorithm can be used to predict a situation, in this study discussed how the Naive Bayes algorithm predicts a business opportunity in an environment. Environmental needs factor is a benchmark for the feasibility of opening a business, there are two types of businesses offered, namely trade and services, from a survey conducted on 50 consumer samples, consisting of 27 women and 23 men with certain criteria. From the data obtained the analysis will be based on the quantification of trade-offs using certain probability values. The selection of Naive Bayes Algorithm in this analysis is because this algorithm only requires a small amount of training data to determine the estimation of parameters needed in the classification process. From the results of this study, it is expected to be able to determine the prediction of business opportunities for the people of Medan Amplas.]]>
<![CDATA[APLIKASI PENGENALAN KOMPETENSI DASAR TEKNIK KOMPUTER DAN JARINGAN BERBASIS ANDROID SEBAGAI MEDIA BELAJAR SISWA ( STUDI KASUS SMKN 1 PANGAKALAN KERINCI ) ]]>
<![CDATA[Muhardi, Muhardi]]>
<![CDATA[ Riau Journal Of Computer Science Vol. 5 No. 1 (2019): Riau Journal of Computer Science ]]>
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<![CDATA[Technological developments at this time are very rapid and have been touched to all ages and all fields. Learning media as a tool and a means to study a field of science education continues to grow every year. With the application of learning media and basic competence TKJ-based android is expected to be a companion learning media that make students more easily understand and understand learning about basic competence TKJ through android-based smartphone]]>
<![CDATA[IMPLEMENTASI METODE WEIGHTED PRODUCT UNTUK PEMILIHAN BIDAN TERBAIK PADA PUSKESMAS LALANG BATUBARA ]]>
<![CDATA[Hutahaean, Jeperson]]>;
<![CDATA[Eska, Juna]]>
<![CDATA[ Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science ]]>
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<![CDATA[This study aims to determine the best Midwife determination system in Puskesmas Lalang Batubara, designing and implementing Weighted Product method for the process of determining the best Midwife in Puskesmas Lalang Batubara in determining the best midwife by using decision support system using Weighted Product method. The research method used in this research is quantitative method. The result is the best Midwife selection decision support system at Puskesmas Lalang Batubara using Weighted Product method facilitate the Midewife in determining the best midewife best]]>
<![CDATA[ELEKTRONIK PEMBELAJARAN SEMESTER (E-RPS) BERBASIS WEB FAKULTAS ILMU KOMPUTER UNIVERSITAS PASIR PENGARAIAN ]]>
<![CDATA[Yanto, Budi]]>;
<![CDATA[Sari, Rika Perma]]>
<![CDATA[ Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science ]]>
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<![CDATA[The teaching plan is a guideline for the learning process which is then known as the Semester Learning Plan (RPS). Objectives should be clearly formulated to be achieved by the material or material to be taught, teaching and learning activities and tools used, evaluation and reference sources in the form of reading books. In the Faculty of Computer Science in filling out the Semester Learning Plan still using a manual system using Microsoft Word. Each Lecturer must fill in the Semester Learning Plan by typing Semester Learning Plan data according to the course taken on the form already made in Microsoft Word. Therefore, it is necessary to make the application of the Computer Science Learning Plan application. The E-RPS aims to make it easier for lecturers to fill out the Semester Learning Plan. The results of this practical work in the form of a website-based application that can facilitate the lecturer in filling out the Semester Learning Plan and with the lecturer no longer need to explain the contents of the Semester Learning Plan to students, because each student can see or print their own results according to the course what our want]]>
<![CDATA[APLIKASI PENDATAAN MAHASISWA PENERIMA BEASISWA BERBASIS WEB PADA FAKULTAS EKONOMI UNIVERSITAS PASIR PENGARAIAN ]]>
<![CDATA[Jufri, Jufri]]>;
<![CDATA[Devi, Kamala]]>
<![CDATA[ Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science ]]>
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<![CDATA[Scholarship data collection at the Faculty of Economics still uses a manual method that is all the data collection process is still input using Microsoft Excel. So that the scholarship data collection is not neatly arranged and not archived properly. This results in difficulties in finding data and requires a long time. Data archiving is more likely in the form of a document sheet (Hard File), therefore it is necessary to create a system that can help the Faculty of Economics in data collection of students who receive scholarships. After a series of testing of the scholarship recipient's data collection system can be implemented at the Faculty of Economics. Archiving data on scholarship recipient students is well archived, making it easier for users to search data from year to year according to study programs and scholarship programs that are archived in the data collection system and become more efficient]]>
<![CDATA[PERANCANGAN KONTROL ROBOT PEMOTONG RUMPUT ]]>
<![CDATA[Hutagalung, Jhonson Efendi]]>;
<![CDATA[Dahriansah, Dahriansah]]>
<![CDATA[ Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science ]]>
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<![CDATA[To open a new land, it is necessary to clear land from grass plants that surround the land, so we need to cut grass quickly. If you still use traditional equipment, the work will be long and require a lot of workers to complete it. So the author here makes a machine or robot that can later finish cutting the grass quickly and also does not require many workers even though the land is so vast. This robot is controlled by a voice command so that the robot can move in accordance with the commands we take to the smartphone. As long as the robot moves forward, turn, turn left and turn right then the grass cutter knife will spin to cut the grass. The results of this study are a prototype / miniature of a lawn mower robot that has been tried by cutting grass but on a mini scale because it is still the initial model of the system that will be planned to be real for future research]]>
<![CDATA[PENERAPAN JARINGAN SYARAF TIRUAN UNTUK PENENTUAN SALAK UNGGUL DENGAN MENGGUNAKAN METODE LEARNING VECTOR QUANTIZATION ]]>
<![CDATA[Fimawahib, Luth]]>;
<![CDATA[Lidya, Leony]]>;
<![CDATA[Nurcahyo, Gunadi Widi]]>
<![CDATA[ Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science ]]>
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<![CDATA[Rokan Hulu is one of district in Riau Province that cultivated Snake Fruit plant. Recently, the cultivation of this plant doesn’t conducted maximally because of the lack of farmer’s knowledge. The varieties of high quality Snake Fruit takes effect toward the productivity of Snake Fruit. Because of that, it needs evaluation in determining high quality Snake Fruit. Artificial Neural Network with Learning Vector Quantization in this research is used to train high quality Snake Fruit plant based on it’s class, namely High Quality I and High Quality II. The testing of this method is conducted by using Matlab in order to obtain classification accuracy level. This research uses 60 training dataset and 40 testing dataset of Snake Fruit plant. These data are obtained by using observation at Snake Fruit Plantation located in Desa Rambah Muda Kecamatan Rambah Hilir Kabupaten Rokan Hulu. The result of this research shows that the highest accuracy percentage of training and testing data are respectively 91.66% and 92.50%.]]>
<![CDATA[LOAD BALANCING 2 JALUR INTERNET MENGGUNAKAN MIKROTIK ROUND ROBIN ]]>
<![CDATA[Leman, Dedi]]>
<![CDATA[ Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science ]]>
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<![CDATA[Many of us have encountered Internet use, especially in internet cafes, offices, schools and campuses using more than one connection in subscribing to the Internet, whether it's different ISPs (Internet Service Providers) or the same ISP. In accessing the Web there are 2 types, namely with Authentication and without Authentication. At this writing the author uses 2 (two) Asymmetric Digital Subscriber Line or ADSL connections up to 3 Mbps from an Internet Service Provider (ISP). Cluster architecture that is implemented as a high-performance server is one of the effective and efficient solutions to overcome this problem. This cluster architecture can be built using the concept of network load balancing with high-availability that allows the processing of data to be distributed in a distributed manner to several computers. In Linux virtual servers there are scheduling algorithms that can affect LVS work systems, one of which is the round robin algorithm. By using a round robin algorithm, the workload will be shared equally across all servers. Round robin algorithm testing is done by using parameters comparing the number of users and response times, so that the response time is stable between 31 ms to 76.3 ms with the number of users between 10,000 and 50000 in load balancing implementation using the round robin algorithm]]>
