Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control was published by Universitas Muhammadiyah Malang. journal is open access journal in the field of Informatics and Electrical Engineering. This journal is available for researchers who want to improve their knowledge in those particular areas and intended to spread the knowledge as the result of studies.
KINETIK journal is a scientific research journal for Informatics and Electrical Engineering. It is open for anyone who desire to develop knowledge based on qualified research in any field. Submitted papers are evaluated by anonymous referees by double-blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully within 4 - 8 weeks. The research article submitted to this online journal will be peer-reviewed at least 2 (two) reviewers. The accepted research articles will be available online following the journal peer-reviewing process.
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<![CDATA[A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform ]]>
<![CDATA[Eko Hari Rachmawanto]]>;
<![CDATA[Heru Agus Santoso]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1132
<![CDATA[Non-blind watermarking is a form of watermarking with a watermark image validation process that requires a host image. The use of the transform domain is more robust and imperceptible. The transform domain method is resistant to various forms of digital image attacks. In this study, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) were selected as watermark insertion algorithms. DCT is faster and more resistant to attacks, especially in image compression attacks, but has lower imperceptibility than DWT. DWT is also known to be resistant to noise attacks, filtering, blurring, cropping, and has high imperceptibility depending on the sub-band selection but is not resistant to image compression attacks. Based on each algorithm's advantages and disadvantages, there is an opportunity to combine it to analyze and compare the insertion results with DCT and DWT itself. To test the results of imperceptibility, we used the Peak Signal to Noise Ratio (PSNR), while to test the robustness, we used Cross-Correlation (CC) and Bit Error Ratio (BER). Without attacks, the PSNR on the proposed method can reach 71 dB. The CC value without attack can reach a perfect value of 1 and BER = 0. The highest attack test result is CC = 1 on the filtering attack. From the various tests we have conducted, it has been proven that the DCT-DWT is more imperceptive and robust than previous studies]]>
<![CDATA[The Potential Overview of PV System Installation at the Quarry Open Pit Mine PT. Bukit Asam, Tbk Tanjung Enim ]]>
<![CDATA[Junaedi, Ketut]]>;
<![CDATA[Dewi, Tresna]]>;
<![CDATA[Yusi, Muhammad Syahirman]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1148
<![CDATA[South Sumatra has an established state-own enterprise exploring the Quarry Open Pit Mine. This mining process leaves some abondance open field that has a high potential to install a PV system. The Government has undertaken an initial analysis of 200 hectares of ex-mining land for this purpose. This paper analyzes the potential for PV panels to be installed at PTBA Tanjung Enim Quarry Open Pit Mine. The location of the PV panel in the open pit Quarry for this analysis is at an altitude of +140 m above sea level. Meanwhile, the PTBA Tanah Putih Township housing site where the PV comparison panel is installed is located on the altitude of +100 m above sea level, and within 2.97 km from the mine. PV panels installed in Open Pit mines generate better electricity and efficiency compared to PV panels installed outside the mine (in PTBA Township Housing). The difference of Isc between PV Panel installed in Quarry Open Pit Mine and Township is 0.0075 A. The Iload measured on the Quarry Open Pit Mine PV panel is 0.5478 A higher than the Township PV panel. Meanwhile, Voc measured on Quarry Open Pit Mine PV panel is smaller than Township PV panel, approximately 0.266 V and Vload of Quarry Open Pit Mine PV panel is 0.266 V larger than Township PV panel. The produced power of Quarry Open Pit Mine PV panel is 11.02 W larger than the Township PV panel. From the total value, the average efficiency produced by Quarry Open Pit Mine PV panels is 2.31 % higher than the efficiency produced by Township PV panels. This research shows the possibility and advantage of installing a PV system on a Quarry Open Pit Mine.]]>
<![CDATA[Design of a Fractional Order PID Controller for Electric Hydraulic Actuator ]]>
<![CDATA[Dyah Atsari, Erinna]]>;
<![CDATA[Halim, Abdul]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1151
<![CDATA[Electric hydraulic actuators are more used especially in industries that demand high levels of accuracy. A common problem with this type of actuator is consistency in fluid flow control. PID controllers can accelerate the achievement of defined output values, eliminate offsets, and reduce maximum overshoots but result in considerable errors. Therefore, it is necessary to design controllers that can reduce errors significantly. In this research, a Fractional Order PID controller is developed to reduce maximum overshoots and steady state. Unlike conventional PID controllers that have three parameters, in the Fractional Order PID controller, there are extra two parameters of the λ and μ. The parameters were selected using the Ziegler Nichols method with a 1st order approach with a delay time. Meanwhile, the λ and μ parameters were selected the best value to make the system response better. The results of the design of the Fractional Order PID controller were evaluated using matlab simulation. The simulation results showed that the Fractional Order PID controller was able to reduce the steady state error response by 0.5 %, and the maximum overshoots by 17.4 %. From this result, it can be noted that the Fractional Order PID controller is better than conventional PID.]]>
<![CDATA[A Store-forward Method for Biosignal Acquisition in Smart Health Care System using Wearable IoT Device ]]>
<![CDATA[Dany P Kartikasari]]>;
<![CDATA[Apriyanto Tobing]]>;
<![CDATA[Adhitya Bhawiyuga]]>;
<![CDATA[Ari Kusyanti]]>;
<![CDATA[Nuretha Hevy Purwaningtyas]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1154
<![CDATA[Smart Health Care System has been developed massively in the last decade. Internet of Things implementation has accelerated the development of smart health technology. Now people have realized the importance of doing independent health monitoring. Supported by more affordable e-health tools, motivation in using the smart health system is increasing. The availability of cloud as storage services triggers demands to always be connected to the Internet. However, there are times when interference occurs so the measurement results cannot be stored in the cloud database properly. The idea of using a store-forward mechanism to overcome the problem of disconnected smart healthcare system is proposed in this paper. From the test results, the data can be sent properly eventhough disconnected status occurs for 30 minutes. Smartwatch’s memory usage has increase 30 percent during temporary storage occupied.]]>
<![CDATA[Flood Disaster and Early Warning: Application of ANFIS for River Water Level Forecasting ]]>
<![CDATA[Faruq, Amrul]]>;
<![CDATA[Marto, Aminaton]]>;
<![CDATA[Izzaty, Nadia Karima]]>;
<![CDATA[Kuye, Abidemi Tolulope]]>;
<![CDATA[Mohd Hussein, Shamsul Faisal]]>;
<![CDATA[Abdullah, Shahrum Shah]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1156
<![CDATA[Intensively monitoring river water level and flows in both upstream and downstream catchments are essential for flood forecasting in disaster risk reduction. This paper presents a developed flood river water level forecasting utilizing a hybrid technique called adaptive neuro-fuzzy inference system (ANFIS) model, employed for Kelantan river basin, Kelantan state, Malaysia. The ANFIS model is designed to forecast river water levels at the downstream area in hourly lead times. River water level, rainfall, and river flows were considered as input variables located in upstream stations, and one river water level in the downstream station is chosen as flood forecasting point (FFP) target. Particularly, each of these input-output configurations consists of four stations located in different areas. About twenty-seven data with fifteen minutes basis recorded in January 2013 to March 2015 were used in training and testing the ANFIS network. Data preprocessing is done with feature reduction by principal component analysis and normalization as well. With more attributes in input configurations, the ANFIS model shows better result in term of coefficient correlation ( ) against artificial neural network (ANN)-based models and support vector machine (SVM) model. In general, it is proven that the presented ANFIS model is a capable machine learning approach for accurate forecasting of river water levels to predict floods for disaster risk reduction and early warning.]]>
<![CDATA[Balancing Entertainment, Cost, and Educational Strength: A Design Framework for Medium-Coupling Educational Games ]]>
<![CDATA[Atmaja, Pratama Wirya]]>;
<![CDATA[Sugiarto, Sugiarto]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1158
<![CDATA[Games are powerful tools for teaching and learning, especially in the age of Education 4.0. The rapid growth of educational games is hindered by various problems, including their development cost. The medium coupling approach, which allows an educational game to be both engaging and economical, is one potential solution to the problem; unfortunately, it has received only sporadic attention. This study aims to explore the matter of designing medium-coupling educational games through a design framework. The framework dissects an educational game’s game content and educational content into parts to be interconnected. We applied the framework to design and develop an educational role-playing game (RPG). Sixty first-year Informatics students tested the game, which presented three learning topics with different characteristics. A post-test questionnaire’s results validate the game’s entertainment and educational values while also uncovering how it works under different learning contents. A discussion with the participants gathered insightful suggestions and critiques, which, together with the questionnaire’s results, are synthesized into design principles for medium-coupling games. We conclude that the framework is useful for creating games that are entertaining, educational, and cost-efficient.]]>
<![CDATA[Design and Implementation LETS (Low Power Cluster Server) for Sustaining UMKM during Pandemic ]]>
<![CDATA[Sidharta, Hanugra Aulia]]>;
<![CDATA[Sidharta]]>;
<![CDATA[Filipi, Felix]]>;
<![CDATA[Jaskandi, Rafli Attala]]>;
<![CDATA[Nugroho, Febrian]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1162
<![CDATA[Covid pandemic is spreading since end 2019 arround globe, this resulting several countries suffer economic crisis. Due people movement restriction and international border is closed, impact halting on export and import. Indonesia with 267,7 million people manage to overcome global crisis during 1998 and 2008 with encourage small and local industry. According data from BPS, SME support 60% GDP with Rp 7,7 Billion and provide 85 million employment. To sustain SME during customer shifting behavior, we propose small cluster server called as LETS. LETS is modular, and composed with several Raspberry Pi 4, also consume few energies compared with traditional server. Although Raspberry Pi 4 is small size with few limitations, with lightweight application (ansible, k3s, and nginx) it can provide web server service. LETS provide handling traffic up to 742 simultaneus requests, which sufficient of SME requirement.]]>
<![CDATA[The Strategic Planning IS/IT to Improve Business Competitiveness in Public Hospital ]]>
<![CDATA[Muhammad Ridho Bintang Janaputra]]>;
<![CDATA[Febriliyan Samopa]]>;
<![CDATA[Rita Ambarwati Sukmono]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1181
<![CDATA[Hospital competition is getting tighter, making good hospital strategic planning very important so that the Hospital can survive to develop better in a changing environment. Today's competitive advantage cannot be separated from Information Systems (IS) and Information Technology (IT). IS / IT in hospitals is currently used as a tool to create and develop innovative products, systems, and services for hospitals. The problem that occurs today is a large number of IS / IT that is made without looking at the financial side of the Hospital, thus making a number of uses of IS / IT not optimal in Hospital operational and business activities. Based on these problems, IS / IT strategic planning that also considers financial capability is needed. In this research, IS/IT strategic planning that takes into account the financial aspects is achieved using the approach of Ward and Peppard combined with Cost-Benefit Analysis. Value Chain and Critical Success Factor (CSF) analysis methods are used to analyze the current internal condition of the Hospital. Meanwhile, PEST and Porter's Five Forces analysis used external business analysis of the Hospital. The results of this study are in the form of IS business strategy recommendations, IS/IT management strategies, IT strategies, IS application portfolios, and IS/IT investment roadmaps compiled based on costs and benefits. There are 25 IS strategy recommendations, the IT strategy recommends 14 proposals to support the IS strategy based on the cost-benefit, and the IS / IT management strategy recommendations consist of 16 suggestions to support the IS strategy and IT strategy.]]>
<![CDATA[CNN Hyperparameter Optimization using Random Grid Coarse-to-fine Search for Face Classification ]]>
<![CDATA[Nurhopipah, Ade]]>;
<![CDATA[Larasati, Nurriza Amalia]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1185
<![CDATA[Convolutional Neural Network (CNN) is a recently used popular machine learning technique to classify images. However, choosing an optimum and efficient architecture is an inevitable challenge. The research goal was to implement CNN on face classification from low quality CCTV footage. The best model was gained from the hyperparameter optimization process used on CNN structure. The optimized hyperparameters were those connected to the structure network including activation function, the number of kernel, the size of kernel, and the number of nodes on the fully connected layers. Hyperparameter optimization strategy used was random grid coarse-to-fine search optimization approach. This approach combined random search, grid search, and coarse-to-fine technique that was easily and efficiently applied, yet worked well. Exhaustive-random search process was done by evaluating all selected activation functions and choosing another hyperparameters randomly. This was based on the assumption that activation functions were the most related hyperparameter to the model. The SELU activation function used in the next step was the one with the best average performance. Grid coarse-to-fine was conducted to optimize the number of kernel and the number of node on fully connected layer, while grid search was conducted to optimize the kernel size. This process aimed to locate optimal value gradually in hyperparameter which had high-dimensional space. Evaluation of the model resulted from the optimum hyperparameter was 97,56%.]]>
<![CDATA[Improving Automatic Essay Scoring for Indonesian Language using Simpler Model and Richer Feature ]]>
<![CDATA[Rian Adam Rajagede]]>
<![CDATA[ Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Malang ]]>
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DOI: 10.22219/kinetik.v6i1.1196
<![CDATA[Automatic essay scoring is a machine learning task where we create a model that can automatically assess student essay answers. Automated essay scoring will be instrumental when the answer assessment process is on a large scale so that manual correction by humans can cause several problems. In 2019, the Ukara dataset was released for automatic essay scoring in the Indonesian language. The best model that has been published using the dataset produces an F1-score of 0.821 using pre-trained fastText sentence embedding and the stacking model between the neural network and XGBoost. In this study, we propose to use a simpler classifier model using a single hidden layer neural network but using a richer feature, namely BERT sentence embedding. Pre-trained model BERT sentence embedding extracts more information from sentences but has a smaller file size than fastText pre-trained model. The best model we propose manages to get a higher F1-score than the previous models on the Ukara dataset, which is 0.829.]]>
