Jurnal Komtika (Komputasi dan Informatika)
Aims Jurnal Komtika (Komputasi dan Informatika) is a scientific journal published by the Faculty of Engineering, Universitas Muhammadiyah Magelang and is Accredited by the Ministry for Research, Technology, and Higher Education (RISTEKDIKTI)(No:200/M/KPT/2020). It is a medium for researchers, academics, and practitioners interested in Computer Science and wish to channel their thoughts and findings. Our concept of Informatics includes technologies of information and communication as well as results of research, critical, and comprehensive scientific study which are relevant and current issues covered by the journals. Jurnal Komtika publishes regular research articles. We encourage researchers to publish their theoretical and empirical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be given so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”. Scope Jurnal Komputasi dan Informatika (Komtika) focuses on various issues, but not limited in the field of: Software Development: Software development process, Requirements analysis, Software design, Software construction, Software deployment, Software maintenance, Programming team, Open-source model Mathematics of Computing: Discrete mathematics, Mathematical software, Information theory Theory of computation: Model of computation, Computational complexity Human Computer Interaction: Interaction design, Social computing, Ubiquitous computing, Visualization, Accessibility, User Interface Study, User Experience Study Applied Computing: E-commerce, Enterprise software, Electronic publishing, Cyberwarfare, Electronic voting, Video game, Word processing, Operations research, Educational technology, Document management. Machine Learning: upervised learning, Unsupervised learning, Reinforcement learning, Multi-task learning Graphics: Animation, Rendering, Image manipulation, Graphics processing unit, Mixed reality, Virtual reality, Image compression, Solid modeling Information System: Database management system, Information storage systems, Enterprise information system, Social information systems, Geographic information system, Decision support system, Process control system, Multimedia information system, Data mining, Digital library, Computing platform, Digital marketing, World Wide Web, Information retrieval
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<![CDATA[Peran Ontologi dalam Pengembangan Sistem Rekomendasi pada Domain Online Learning ]]>
<![CDATA[Wulandari, Ika Arthalia]]>;
<![CDATA[Pahu, Guna Yanti Kemala Sari Siregar]]>;
<![CDATA[Rahayu, Puji]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v4i1.3535
<![CDATA[As online learning resources increase exponentially on the World Wide Web, online students have difficulty choosing the most suitable and relevant learning material that meets their learning needs due to information overload. Online learning recommendation system is used to predict the preferences or ranking of learners' targets on learning objects for the purpose of generating recommendations. However, the Recommendation system is considered to lack the ability to resolve semantic interoperability issues with heterogeneous sources of information. The purpose of this study is to discuss the role of ontology in the development of recommendation systems in the online learning domain. There are four electronic journal databases selected as references, namely IEEE, Science Direct, Springer Link, and ACM Digital Library. This study obtained 9 articles that were synthesized to answer research questions. This study shows that the involvement of ontology for knowledge representation in the recommendation process can improve the accuracy and quality of recommendations and at the same time help to overcome the weaknesses associated with conventional recommendations.]]>
<![CDATA[Penilaian Penentuan Karyawan Terbaik Menggunakan Metode Simple Additive Weighting ]]>
<![CDATA[Kemala Sari Siregar, Guna Yanti]]>;
<![CDATA[Wulandari, Ika Arthalia]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v4i1.3603
<![CDATA[Competition in service quality between companies requires companies to make improvements and improve the quality of Human Resources continuously. BPR Inti Dana Sentosa always strives to improve internal quality on a regular and ongoing basis by evaluating the human resources involved in the production process. HR assessment is still done by a manual method so that the process becomes very slow, and the results obtained are not accurate, even it seems subjective. While objectivity is needed to support the right decision to employ useful human resources for an extended period. This study aims to assist BPR Inti Dana Sentosa in deciding on employee assessment results by implementing the Simple Additive Weighting method. Based on nine processed employee sample data, it founded that the employee with the code 'Employee 2' was the best employee candidate. This result proves that the SAW method can help the decision-making process in the problem of determining the best employee of a company.]]>
<![CDATA[Machine Learning Berbasis Desktop dan Web dengan Metode Jaringan Syaraf Tiruan Untuk Sistem Pendukung Keputusan ]]>
<![CDATA[Handayanto, Rahmadya Trias]]>;
<![CDATA[Herlawati, Herlawati]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v4i1.3698
<![CDATA[Machine learning application demand is increased massively because it provides good ability in the classification that is needed by decision makers. Machine learning application uses a programming language with strong characteristics in computing, usually the back-end programming language, such as Matlab, Python, R, etc. The obstacle faced by the decision support system developer is preparing an interface that makes it easy for the user. Some back-end programming languages have provided a good interface. Therefore, in this study they were compared by taking the case of a scholarship decision support system. The language used is Python with two web-based applications including Google Interactive Notebook and Flask framework. Both devices have their respective advantages and are worthy of being the first choice in the design of decision support systems.Python has advantages with framework Flask support and Matlab is easy in interface design.]]>
<![CDATA[Sistem Informasi Fasilitas di DKI Jakarta berbasis Android dengan Algoritma Floyd Warshall ]]>
<![CDATA[Rachman, Ali]]>;
<![CDATA[Leidiyana, Henny]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v4i1.3700
<![CDATA[Mobile devices, especially the Android operating system, are very easy to use to provide information related to work or location precisely and accurately, especially searching for the location of facilities in DKI Jakarta, such as hospitals, fire stations, restaurants, hotels, and other places. But so far the problem is often encountered related to inaccurate information reports where reports take the form of images and text without a real location statement. For this reason, it is necessary to design a mobile application that can provide detailed information about the location of several public facilities in DKI Jakarta using the Software Development Life Cycle (SDLC) method. Applications that are made can provide information that has several features including image information, title, description, location, and weather.]]>
<![CDATA[Sistem Pakar untuk Mendiagnosa Penyakit Persendian Menggunakan Metode Certainty Factor ]]>
<![CDATA[Leidiyana, Henny]]>;
<![CDATA[Hariyanto, Risvan Dwi]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v4i1.3701
<![CDATA[If someone feels unwell, they will usually make a diagnosis and find the solutions before deciding to consult a doctor. As with joint disease with symptoms of pain that are still mild, there is no time to go to the doctor, fees, or other reasons. Especially now through information via the internet can be easily obtained. To assist in identifying and improving the accuracy of diagnosis, it is necessary to have a web-based expert system application to diagnose joint disease using certainty factor methods. The research method used is using SDLC (Software Development Life Cycle). An expert system that has been made can be used as early detection and get solutions for joint diseases and preventive measures to treatment]]>
