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INDONESIA
Jurnal Komtika (Komputasi dan Informatika)
Published by Universitas Muhammadiyah Magelang
ISSN : 25802582     EISSN : 2580734X     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 4 No 1 (2020)" : 5 Documents clear
PERAN ONTOLOGI DALAM PENGEMBANGAN SISTEM REKOMENDASI PADA DOMAIN ONLINE LEARNING Wulandari, Ika Arthalia; Pahu, Guna Yanti Kemala Sari Siregar; Rahayu, Puji
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.417 KB) | DOI: 10.31603/komtika.v4i1.3535

Abstract

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.
PENILAIAN PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Kemala Sari Siregar, Guna Yanti; Wulandari, Ika Arthalia
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.091 KB) | DOI: 10.31603/komtika.v4i1.3603

Abstract

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.
MACHINE LEARNING BERBASIS DESKTOP DAN WEB DENGAN METODE JARINGAN SYARAF TIRUAN UNTUK SISTEM PENDUKUNG KEPUTUSAN Handayanto, Rahmadya Trias; Herlawati, Herlawati
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.565 KB) | DOI: 10.31603/komtika.v4i1.3698

Abstract

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.    
SISTEM INFORMASI FASILITAS DI DKI JAKARTA BERBASIS ANDROID DENGAN ALGORITMA FLOYD WARSHALL Rachman, Ali; Leidiyana, Henny
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.059 KB) | DOI: 10.31603/komtika.v4i1.3700

Abstract

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.
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PERSENDIAN MENGGUNAKAN METODE CERTAINTY FACTOR Leidiyana, Henny; Hariyanto, Risvan Dwi
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.097 KB) | DOI: 10.31603/komtika.v4i1.3701

Abstract

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

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