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
Articles
144 Documents
<![CDATA[Pengembangan Sistem Pemantauan dan Deteksi Serangan pada Ekosistem Rumah Cerdas ]]>
<![CDATA[Hariyadi, Dedy]]>;
<![CDATA[Setiawan, Chanief Budi]]>;
<![CDATA[Setiyadi, Barep]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v5i2.5861
<![CDATA[It is predicted that the growth of smart devices installed in the smart home ecosystem will increase in the future. Smart devices that are connected to each other using wired or wireless networks that have the potential for security holes are attacked by threat actors. Whereas a house is a place that provides comfort for its residents. An attack on the smart home ecosystem allows the operation of the smart home ecosystem to be disrupted or personal information stolen to be used by irresponsible parties. To face the high wave of smart home implementation in the future with potential security holes that always accompany it. This is in accordance with the principle that no system is 100% secure. In this study, attacks on wireless networks can be detected as anomalous traffic. Monitoring and detection in the smart home ecosystem involves supporting components such as sensors, access points, gateway collectors and analysis stacks.]]>
<![CDATA[Prediction of University Student Performance Based on Tracer Study Dataset Using Artificial Neural Network ]]>
<![CDATA[Adriani, Zahrina Aulia]]>;
<![CDATA[Palupi, Irma]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v5i2.5901
<![CDATA[In order to increase student performance, several universities use machine learning to analyze and evaluate their data so that it enables to improve the quality of education in the university. To get a new insight from the tracer study dataset as the relevance between university performance and student capability with business and industries work, the author will develop a model to predict student performance based on the tracer study dataset using Artificial Neural Network (ANN). For obtaining attributes that correspond to labels, Phi Coefficient Correlation will be used to select the attributes with high correlation as Feature Selection. The author is also performing the oversampling method using Synthetic Minority Oversampling Technique (SMOTE) because this dataset is imbalanced and evaluates the model using K-Fold Cross-Validation. According to K-Fold Cross Validation, the result shows that K = 3 has a low standard deviation of evaluation score and it's the best candidate of K to split the dataset. The average standard deviation is 0.038 for all score evaluations (Accuracy, Precision, Recall, and F-1 Score). After applied SMOTE to treating the imbalanced dataset with the data splitting 65 training data and 35 testing data, the accuracy value increases by 10% from 0.77 to 0.87.]]>
<![CDATA[Implementasi Metode Forward Chaining, Certainty Factor dan Dempster Shafer pada Sistem Pakar Diagnosis Penyakit Gigi dan Mulut ]]>
<![CDATA[Nurajizah, Siti]]>;
<![CDATA[Yulianti, Ita]]>;
<![CDATA[Saputra, Elin Panca]]>;
<![CDATA[Dewi, Rani Kurnia]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v5i2.5995
<![CDATA[Dental and oral disease is one of the diseases that has been felt by most of the people. Insufficient information and the limited level of public awareness of the prevention of dental and oral diseases make the impact quite dangerous if not handled properly. An appropriate information system is needed in overcoming and providing solutions for handling a disease as early as possible. Expert systems can be used as a means of information on the treatment of dental and oral diseases. The manufacture of the expert system in this study initially used the forward chaining method, which is a method that searches based on information that is made into a set of rules so as to get a conclusion. However, after re-analysis, two other methods, namely certainty factor and dempster shafer, were also applied in this study with the aim of overcoming the shortcomings of the forward chaining method, one of which is uncertainty in producing a conclusion or diagnosis of disease. Determining the type of dental and oral disease can be known by looking at the symptoms experienced by the patient. The use of an expert system for diagnosing dental and oral diseases can be used as an initial solution in helping someone to treat the disease. The existence of this expert system can be used as consideration in making decisions to determine the type of dental and oral disease quickly, precisely and accurately.]]>
<![CDATA[Instance Selection dengan Naïve Bayes pada Klasifikasi Kanker Serviks ]]>
<![CDATA[Fikriah, Fari Katul]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v5i2.6041
<![CDATA[There are several deadly disease for woman, one of which is servical cancer. The growth and development of the disease is very slow, so that treatment if know form the beginning will facilitate the healing process, but conversely unknown cancers from the beginning will become dangereous and deadly disease due to relatively difficult healing. Biopsy action is one way to detect the presence of cancer. In the previous study, classification of cervical cancer had the bighest accuracy value of 97,515% using the decision tree method of several feature selection technique. for this reason, this research will use the decision tree or tree C4.5 classification method, logistic function and zeroR which were previously carried out processing with instance selection with Naïve Bayes by reducing the elimination of missing values with the aim of increasing the level of accuracy better than previous studies. C4.5 classification in this study has the most maximum results compared to other classification methods with an accuracy value of 99,69%.]]>
<![CDATA[Rancang Bangun Sistem Penilaian Produk Virtual Reality Berbasis Website Di PT.Shinta VR ]]>
<![CDATA[Bramasta, Ridho]]>;
<![CDATA[Fitriana Masitoh, Lisda]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v5i2.6060
<![CDATA[In the era of increasingly modern technology as it a today industrial growth in the world is growing rapidly, the competition is getting tougher. One of the companies engaged on services, namely PT. Shinta VR. PT Shinta VR is engaged in serving and providing technology services for making learning videos in the field of education and as well as several types of games on interactive three dimensional form. Activities that have been running so far have shortcoming and weakness, especially in creating their product rating system, until now product assessment from customer data is still done manually or on writing. To overcome the problems that exist at PT.Shinta VR, the author intends to develop a website based product assessment application system as a VR product assessment system from customer data, product data and assessment data. The development model used is the Waterfall model. This application will describe the activities generated at each design stage. The result to be archived from this research is that the website application is able to manage customer data and assessment data more neatly, the conclusion of this study can help staff and admins optimize time and know that the system build can help staff and admins.]]>
<![CDATA[Penerapan Data Mining Association Rule Menggunakan Algoritma FP-Growth Untuk Persediaan Sparepart Pada Bengkel ]]>
<![CDATA[Guntoro, Guntoro]]>;
<![CDATA[Hutabarat, Charles Parmonangan]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v5i2.6251
<![CDATA[Many individuals are interested in starting a workshop. By responding to each customer's desires, the workshop company may continue to develop, and so the data mining technique can address this challenge. The FP-Growth algorithm is one of the methods that may be used to determine the stock availability of automotive spare components such as engine oil, spark plugs, oil filters, ac filters, batteries, tires, and so on. This research is divided into four stages: problem identification, data gathering, data processing, and data testing. Based on the results of the testing, AK (Battery), OM (Engine Oil), and BS (Spark plug) received support values of 33% and 80%, respectively. Furthermore, the BN (Ban) and KR (Kampas Bram) values were found with 33% support and 80% confidence. Furthermore, we obtain AK (Battery) and OM (Engine Oil) with 33% support and 80% confidence, and BN (Tires) and OM (Engine Oil) with 33% support and 80% confidence. OM (Engineering Oil), AK (Battery), and BS (Battery Storage) are the abbreviations for the terms OM (Engineering Oil), AK (Battery), and BS (Battery (Spark plug)).]]>
<![CDATA[Deteksi Titik Kebakaran Lahan Menggunakan Wireless Sensor Network ]]>
<![CDATA[Kamarudin, Kamarudin]]>;
<![CDATA[Elfirman, Muhammad Ziki]]>;
<![CDATA[Maulida, Ihdalhubbi]]>;
<![CDATA[Marleny, Finki Dona]]>;
<![CDATA[Ansari, Rudy]]>;
<![CDATA[Fatahulrahman, Maman]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v6i1.6264
<![CDATA[Kalimantan Tengah merupakan salah satu propinsi yang rawan terjadi kebakaran lahan dan hutan di Indonesia yang memiliki puncak tertinggi kasus kebakaran lahan seluas 317.749 Ha di tahun 2019. Berbagai upaya telah dilakukan oleh pemerintah daearah untuk mencegah terjadinya kebakaran lahan, baik disebabkan oleh alam atau manusia. Penelitian ini dilakukan dengan membuat alat deteksi dini titik kebakaran lahan dengan memanfaatkan 4 sensor, yaitu Soil Sensor (sensor kelembaban tanah), DHT11 (sensor suhu dan kelembaban), Flame Sensor (sesnsor api), dan MQ2 (sensor asap). Pengujian alat dilaksanakan di salah satu kecamatan yang memiliki potensi kebakaran lahan yang tinggi, yaitu di Kecamatan Kumai Kabupaten Kotawaringin Barat. Alat yang diuji akan mengirimkan hasil deteksi ke server web melalui sim 800L, yang kemudian diolah datanya untuk menghasilkan informasi yang ditampilkan ke halaman web, hingga dapat diambil tindakan dini oleh masyarakat dalam pencegahan kebakaran lahan.]]>
<![CDATA[Analisis Sentimen Pada Situs Google Review dengan Naïve Bayes dan Support Vector Machine ]]>
<![CDATA[Handayanto, Rahmadya Trias]]>;
<![CDATA[Herlawati, Herlawati]]>;
<![CDATA[Atika, Prima Dina]]>;
<![CDATA[Khasanah, Fata Nidaul]]>;
<![CDATA[Yusuf, Ajif Yunizar Pratama]]>;
<![CDATA[Septia, Dwi Yoga]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v5i2.6280
<![CDATA[Tourism is the sources of income which is influenced by customer satisfaction. One way to know customer satisfaction is feedback, one of which is a review using an application. One of the feedback applications is Google Review. Such applications are have been widely used, for example in this study in this case study, Summarecon Mal Bekasi, can reach 60,000 comments. To find out the sentiment of the large number of comments, it is necessary to use computational tools. The current research applies sentiment analysis using the Naïve Bayes method and the Support Vector Machine. Data retrieval is done by web scrapping technique. Furthermore, the comment data is processed by pre-processing and labelling using the Lexicon dictionary. The process of applying sentiment analysis is carried out to determine whether the comments are positive or negative. In this study, the accuracy of the Naïve Bayes and Support Vector Machine methods in conducting sentiment analysis on the Summarecon Mal Bekasi review with a data of 2,143 comments with an accuracy for Naïve Bayes and Support Vector Machine 80.95% and 100% respectively. A Jason-style application is built to show the implementation in Flask framework. Keywords:]]>
<![CDATA[Pengetahuan Serta Peran Auditor Secara Komprehensif Dalam Menghadapi Dampak Perkembangan Teknologi Informasi ]]>
<![CDATA[Rumetna, Matheus Supriyanto]]>;
<![CDATA[Lina, Tirsa Ninia]]>;
<![CDATA[Santoso, Agustinus Budi]]>;
<![CDATA[Karay, Jeni]]>;
<![CDATA[Komansilan, Reinhard]]>;
<![CDATA[Kaitelapatay, Big Greogory]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v6i1.6776
<![CDATA[The development of Information Technology (IT) currently has an impact on various aspects of life, without exception on the business processes carried out by the company. Companies tend to use IT to improve efficiency with the aim of boosting revenue and improving performance. Utilization of IT has become a very important thing in business processes. This phenomenon affects the behavior and needs of all parties related to the company, either directly or indirectly, including internal auditors and external auditors. One of the most influential impacts on the audit process is the shift from traditional task-based audits to risk-based IT audits. The challenge faced by the auditor in the current condition is how the auditor can conduct an audit effectively and appropriately. The goal is for auditors to know and be able to develop new strategies for conducting audits in the IT environment. Furthermore, a literature study was conducted to identify and analyze problems so as to produce information about IT and auditing, risk and security, auditors in IT governance, IT audit processes, IT audit techniques and strategies for auditors to be able to play a role with the right portion. ABSTRAK Perkembangan Teknologi Informasi (TI) saat ini sangat berdampak pada berbagai aspek kehidupan, tanpa kecuali pada proses bisnis yang dilakukan oleh perusahaan. Perusahaan cenderung memanfaatkan TI untuk meningkatkan efisiensi yang bertujuan mendongkrak pendapatan dan memperbaiki kinerja. Pemanfaatan TI sudah menjadi hal yang sangat penting dalam proses bisnis. Fenomena tersebut mempengaruhi perilaku dan kebutuhan semua pihak yang berhubungan dengan perusahaan baik secara langsung maupun tidak langsung, termasuk auditor internal maupun auditor eksternal. Salah satu dampak yang sangat berpengaruh pada proses audit adalah adanya pergeseran audit tradisional yang berbasis tugas menuju audit TI berbasis resiko. Tantangan yang dihadapi auditor pada kondisi saat ini adalah bagaimana auditor dapat melakukan audit dengan efektif dan tepat. Tujuannya adalah agar auditor mengetahui dan dapat menyusun strategi baru untuk melakukan audit dalam lingkungan TI. Selanjutnya, studi literatur dilakukan untuk mengidentifikasi dan menganalisis masalah sehingga menghasilkan informasi tentang TI dan audit, resiko dan keamanan, auditor dalam tata kelola TI, proses audit TI, teknik serta strategi audit TI kepada auditor agar dapat berperan dengan porsi yang tepat.]]>
<![CDATA[Perancangan Aplikasi Katalog Produk PT Petrosida Gresik Berbasis Android ]]>
<![CDATA[Mahesa Ijlal, Muhammad Farhan]]>;
<![CDATA[Chotijah, Umi]]>;
<![CDATA[Aditama, Darmawan]]>
<![CDATA[ Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Magelang ]]>
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DOI: 10.31603/komtika.v6i1.6997
<![CDATA[Tujuan penelitian ini adalah untuk merancang dan membangun aplikasi katalog produk PT. Petrosida Gresik dengan berbasis Android. Penelitian ini menggunakan metode metode Waterfall dengan menggunakan tahapan Software Development Life Cycle (SDLC). Hasil penelitian ini yaitu berupa aplikasi katalog berbagai macam produk PT. Petrosida Gresik seperti pestisida hingga bahan kimia untuk penunjang industri agrokimia dengan berbasis Android dan berdasarkan hasil pengujian black box terhadap semua input dan menjalankan fitur yang tersedia pada aplikasi didapatkan hasil yang sesuai dengan apa yang sudah dirancang dan diharapkan. Dengan aplikasi ini diharapkan dapat membantu para petani dan pelaku usaha yang bergerak di bidang pertanian dan perkebunan untuk menyelamatkan hasil panennya serta membantu pemerintah menciptakan swasembada pangan di Indonesia.]]>
