JURIKOM (Jurnal Riset Komputer)
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
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<![CDATA[Pencarian Rute Tercepat Mobil Ambulance Menggunakan Algoritma Ant Colony Optimization ]]>
<![CDATA[Angga Eka Prasetya]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1252
<![CDATA[One of the services provided by the hospital to patients is an ambulance team that is used as a transport to deliver patients or bodies to hospitals and funeral homes. In the service of ambulance teams requires speed and timeliness in minimizing patient risks. The fastest route is generally based on the shortest distance another point to point. In fact the best route should pay attention to road conditions such as road capacity, many vehicles passing through and so on. The method used for the research is the Ant Coloby Optimization algorithm, the method used is quite easy because it searches in depth with a better quality solution than using conventional conventional search methods so that it aims to design an ambulance route that can minimize the distance to patients and hospitals as a route who most likely have the fastest time.]]>
<![CDATA[Analisa Kinerja Algoritma C4.5 Dalam Menentukan Pola Dominasi Mainstream Mahasiswa ]]>
<![CDATA[Anggraeni, Dewi]]>;
<![CDATA[Christy, Tika]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1333
<![CDATA[The study program is a unit of education and learning activities that has a curriculum and learning method. Each studi program ga a curriculum, in which the curriculum is a set regulatory plans to achieve graduate learning outcomes, study material, processes and assesments that are used as guidelines for the implementation of study program. The main stream of elective and talents. C4.5 algorithm is one method of algorithm that has a decision tree or decision tree, by utilizing data from academics about the selection of the mainstream courses. Bases on the result of the study, the analysis of C4.5 algorithm in determining the pattern of student dominance shows the 73% can be used as a reference marerial in determining student interests and talents]]>
<![CDATA[Analisis Pengembangan Aplikasi Augmented Reality Untuk Pengenalan Organ Pernapasan Manusia ]]>
<![CDATA[Lestari, Ayu]]>;
<![CDATA[Trisnadoli, Anggy]]>;
<![CDATA[Dewi, Meilany]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1375
<![CDATA[A human respiratory organ is a vital tool in the human body. But until now most learning media only use torso as a teaching aid, learning module and pictures to display objects of respiratory organs to students. It is also not possible to see some of these objects directly. One of them is like human breathing learning material. Breathing or so-called respiration is an event that the body lacks oxygen (O2) and then oxygen outside the body is inhaled (inspired) through the respiratory organs. However, not many students know the human breathing organ is actually. Some only know from media images such as encyclopedia books. The existence of Augmented Reality technology will be very useful for the process of recognition of human respiratory organs in the form of three-dimensional objects. The application of human respiratory organs helps children to be able to learn independently at home so that children can learn in detail about the human respiratory organs. For this reason, an Augmented Reality introduction to human respiratory organs based on Android was made as a substitute for learning media for pictures and books that will display human respiratory organs and related information in them. With this application, it is expected to be able to introduce breathing organs to elementary school students in a more real form in three dimensions. Researchers design and build Educational augmented reality applications with the Markerless Augmented Reality method. The application is built using Blender as modeling, Adobe Photoshop, Audacity, Unity3D, Visual Studio, Vuforia SDK to form Augmented Reality]]>
<![CDATA[Implementasi Algoritma Elliptic Curve Cryptography (ECC) Untuk Penyandian Pesan Pada Aplikasi Chatting Client Server Berbasis Desktop ]]>
<![CDATA[Damanik, Putri S E]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1398
<![CDATA[The problem of security on computers is the most important issue in the current era of information technology. Many cyber crimes that occur one of which is related to data manipulation on the network. The most important problem with computer security is the security of the data that is sent. Examples of data that really need to be secured are messages in chat applications. In addition to preventing information from being read by other parties, encoding of messages greatly enables the effectiveness of sending confidential information. One type of asymmetric algorithm that has 2 different keys for encryption and decryption in the method of hiding messages (Cryptography) where the sender of the message first uses the public key (public key) to encode the message, and to decrypt the encrypted message the recipient will use a secret key (private key ). The Elliptic Curve Cryptography algorithm is quite complicated in its calculations, because the calculations are different from ordinary calculations.]]>
<![CDATA[Perancangan Sistem Keamanan Pintu Masuk dan Keluar Kendaraan di Perumahan Golden Simalingkar B Medan ]]>
<![CDATA[Reinhard Simbolon]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1403
<![CDATA[Technology makes everything we do easier. The human need for intelligent equipment that can work automatically is increasing, so these automatic equipment are gradually replacing manual equipment. In this paper, we developed an automatic open / close door opening device based on AT89S51 Microcontroller. AT89S51 microcontroller is used as the brain of the performance of this tool. All instructions from the way the tool will be processed in the AT89S51 Microcontroller. The purpose of using this microcontroller is to create an automatic open / close door application system. The process that is done begins with the detection of motion by an infrared sensor. When the sensor detects a movement that passes through the sensor, the LED lights on and the alarm will sound a few seconds, after that a scan of the bar code to the RFId Reader then the doorstop opens automatically.]]>
<![CDATA[Komparasi Penilaian Kinerja Karyawan Dengan Menggunakan Pendekatan Pembelajaran Mesin ]]>
<![CDATA[Errissya Rasywir]]>;
<![CDATA[Yessi Hartiwi]]>;
<![CDATA[Yovi Pratama]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1328
<![CDATA[Performance evaluation is an activity to measure whether a worker is able to do his job in accordance with his duties and responsibilities. The results of the assessment will be utilized and evaluated by the management managing the workers. The reason for using machine learning in research is because of its advantages in learning about machines with high accuracy results. There has been a lot of machine learning that has been tested, both guided such as decision trees, neural networks, bayesian learning and non-guidance such as clustering, as well as genetic algorithms and ant colony algorithms. The algorithms chosen in this research are Naïve Bayes, Perceptron and Support Vector Machine (SVM). Naïve Bayes was chosen because of the reliability of results with simple steps from the type of learning with the concept of probability. Perceptron is known to be reliable from the types of neural network-based learning. SVM is a well-known algorithm that is able to find hyperplane values more accurately than other algorithms. The results of the study state that the highest accuracy value is generated by the Perceptron algorithm which is equal to 99.33%. Followed by SVM of 96.64% and naive bayes of 94.63% as a result of the use of training data. For the results of testing using 10-folds cross validation consistently under the training data testing.]]>
<![CDATA[Implementasi Metode Rough Set Dalam Memprediksi Dampak Tanah Longsor (Studi Kasus Badan Penanggulangan Bencana Daerah (BPBD) Provinsi Sumatera Utara ]]>
<![CDATA[Pardomuan Sihombing]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1400
<![CDATA[Landslides are displacement of slope-forming material in the form of rocks, rubble, soil or material. In the Province of North Sumatra, landslides often occur and cause loss of life and material damage. These impacts can be minimized based on predictions of the initial symptoms of landslides such as rainfall, slope, topography, landslide types and so on. To reduce the impact of landslides, it is necessary to build an understanding based on technical knowledge and skills about the prediction of landslide impacts using data from existing landslide disasters. Data mining is a series of processes to explore the added value of a data set in the form of knowledge that has not been known manually. Data mining is very helpful in extracting information about the predicted impact of landslides in North Sumatra Province. The data mining method used is the Rough Set method. The Rough Set method is used to predict the impact of a landslide based on data on factors causing landslides and the area where landslides occur. Rough set is an efficient technique for Knowledge Discovery in Database (KDD) in the process stages and Data Mining.]]>
<![CDATA[Pemanfaatan Media Komputer Dalam Pembelajaran Bahasa Inggris Dengan Metode Direct Method (Internet Based) ]]>
<![CDATA[Sulistyawati, Meiva Eka Sri]]>;
<![CDATA[Dewi, Nurmala]]>;
<![CDATA[Andayani, Endang Sri]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1290
<![CDATA[In the era of advanced technology, the use of computer in many aspects has been the part of our life. Moreover, computer has been used in the field of education. The use of computer in teaching and learning has many benefits, not only for the teachers but also the students. So does with English. It has been a compulsory subject in many levels of education. In fact, there are many methods of teaching English that can be used. Using the direct method, especially internet or other aplications by computer or android, can be one of the creative ways to create an enjoyable and fun atmosphere of teaching and learning English.]]>
<![CDATA[Eksperimen Estimasi Biaya Proyek Perangkat Lunak Menggunakan Metode Function Point Analysis (FPA) ]]>
<![CDATA[Hendrawan, Hendrawan]]>;
<![CDATA[Jusia, Pareza Alam]]>;
<![CDATA[Rasywir, Errissya]]>;
<![CDATA[Pratama, Yovi]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1329
<![CDATA[In building software, it should start with project planning. This activity is initialized with estimation activity. When estimation is done, it is necessary to make predictions in the future and handle the uncertainty that will be passed in running a software project. There are several options in project estimation. However, in this study, we used the most common and familiar technique to be tested on project data that had been running in the field. From the results of experiments conducted in the study on 20 (twenty) data software development projects in one of the software houses in Jambi city using the Function Point Analysis (FPA) method, the results of the calculation of the RMSE (root mean squared error) of Rp 1,073,001, - and an error value of 0.25. This means that it can be concluded that the difference in RMSE from the real price comparison transacted in the field with the price estimated using the Function Point Analysis (FPA) method is equal to the value mentioned above, which value includes a value with a fairly small gap. As well, the error value produced is also quite small at 0.25.]]>
<![CDATA[Maksimalisasi Keuntungan Pada Usaha Dagang Martabak Sucipto Menggunakan Metode Simpleks Dan POM-QM ]]>
<![CDATA[Ong, Rico]]>;
<![CDATA[Maran, Alfionita N R]]>;
<![CDATA[Lapik, Ardianto Rizki]]>;
<![CDATA[Andita, Dimas M B]]>;
<![CDATA[Kadir, Muhammad Fitra]]>;
<![CDATA[Kindangen, Ricky V]]>;
<![CDATA[Latul, Velly B]]>;
<![CDATA[Rumetna, Matheus Supriyanto]]>;
<![CDATA[Lina, Tirsa Ninia]]>
<![CDATA[ JURIKOM (Jurnal Riset Komputer) Vol 6, No 4 (2019): Agustus 2019 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/jurikom.v6i4.1350
<![CDATA[Martabak trading business is one of the businesses in the culinary field, which seeks to make the survival of the Martabak trade business can continue to develop. To maintain the continuity and development of Martabak's trading business steps are needed to be able to allocate raw materials and increase profits. Therefore, a technique or a method is needed in determining the right combination of products made and combinations of products produced. Simplex method is a method used in this research and utilizes information technology, namely the use of POM-QM tools to estimate the maximum profit gained from each production made by Martabak traders within one day quickly and accurately, so that it has an accurate calculation estimate. The result of the calculation of the maximum profit in one day is IDR 90,000.-.]]>
