ILKOM Jurnal Ilmiah
ILKOM Jurnal Ilmiah is an Indonesian scientific journal published by the Department of Information Technology, Faculty of Computer Science, Universitas Muslim Indonesia. ILKOM Jurnal Ilmiah covers all aspects of the latest outstanding research and developments in the field of Computer science, including Artificial intelligence, Computer architecture and engineering, Computer performance analysis, Computer graphics and visualization, Computer security and cryptography, Computational science, Computer networks, Concurrent, parallel and distributed systems, Databases, Human-computer interaction, Embedded system, and Software engineering.
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<![CDATA[PENGEMBANGAN ANTARMUKA APLIKASI MENGGUNAKAN PRINSIP GENERAL DATA PROTECTION REGULATION ]]>
<![CDATA[Lokapitasari Belluano, Poetri Lestari]]>;
<![CDATA[Herman, Herman]]>;
<![CDATA[Panggabean, Benny Leonard Enrico]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.400.59-66
<![CDATA[General Data Protection Regulations (GDRP) regulation which is used to substantiate or individual data protection. the principle of gdpr is transparency where the application users have the right to make changes and access to personal data. so, companies are asked to be transparent about the reasons for collecting the data and the purpose of the data usage. GDPR has purpose to develop personal data protection and user privacy data by managing update data in the form of real-time notification. the method is used for Convention over Configuration paradigm. Prototyping model is used to describe application system workflow using graphics, DBMS management (using PostgreSQL). In Conclusion, prototype web application information system which applies data protection information using the principle of GDRP at user by managing data information updates in the form of real-time notification.]]>
<![CDATA[IMPLEMENTASI METODE WEIGHTED PRODUCT DALAM SISTEM PENUNJANG KEPUTUSAN PEMBUANGAN MATERIAL NOT GOOD (NG) PRODUKSI ]]>
<![CDATA[Mujahidin, Mujahidin]]>;
<![CDATA[Purba, Arif Budimansyah]]>;
<![CDATA[Agustian, Tresa]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.388.25-33
<![CDATA[Bad Material is a product whose condition is Damaged or Not In accordance with a predetermined size, in the matter of this NG material can be determined what materials must be disposed of and what materials must be repaired. In the material there are several criteria that can be used as a yardstick to determine whether the NG material is directly discharged into production waste or not. To determine the NG material production can be done by using a weighted product support system. Ranking determination can be done by looking at the number of criteria in the alternative NG production by calculating weighted products can help in making decisions in the disposal of NG material and only choose one material to be disposed of into production waste whose status cannot be repaired again and the final result of the Weighted Product method has a final value that changes according to the number of alternatives.]]>
<![CDATA[PENGEMBANGAN MODEL SIMULASI SISTEM DINAMIK UNTUK MENINGKATKAN EFISIENSI SISTEM OPERASIONAL TRANSPORTASI ]]>
<![CDATA[Faradibah, Amaliah]]>;
<![CDATA[Suryani, Erma]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.413.67-76
<![CDATA[If transport continues to increase, plus manufacturers competing to produce interesting transportation on the market, thus allowing the improvement of the transport users. If the increase occurs, it will cause congestion. Congestion was a factor that greatly affect the efficiency of the transport system, where the transportation system is a form of attachment and the interconnected between the passenger, shuttles and infrastructure that interact in order to transfer people or goods, which is covered in an order, either by natural or artificial or engineered. It takes the right planning strategies in addressing conditions congestion such as implementation of reconfiguration of the route network, a program that using dynamical systems in proper design and planning, and the determination of the most appropriate scenario can improve the efficiency of the transportation system. This research uses scenario through reconfiguration of network routes to improve the efficiency of the transportation system. in this study, this scenario is considered to be the most appropriate to increase the efficiency of vehicle travel time by way of the transfer of light vehicle routes that will go towards the Urip Sumoharjo street because it results in a reduction in travel time by 1.2% of travel time before the scenario.]]>
<![CDATA[PENDEKATAN HYPER HEURISTIC DENGAN KOMBINASI ALGORITMA PADA EXAMINATION TIMETABLING PROBLEM ]]>
<![CDATA[Supoyo, Vicha Azthanty]]>;
<![CDATA[Muklason, Ahmad]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.420.34-44
<![CDATA[Generally, exam scheduling is still done manually and definitely will take a long time. Many researches have developed various studies to find a more appropriate strategy. Hyperheuristic was proposed in this study. In Hyperheuristic, Simple Random is used as a strategy for selecting low-level-heuristic while Hill Climbing and Simulation Annealing as move acceptance strategy. The Carter dataset is used as a test for the algorithms. We proposed testing datasets with a time limit of 15 minutes up to 1 hour and the results were compared with the research conducted by Carter et al (1996) as an initial study using that dataset. In addition, dataset, the number of iterations, and the time limit are as same as one of the literatures which will then be compared. The results obtained show that one pair of algorithms proposed in this study is better than the literature while other algorithms also provide significant results.]]>
<![CDATA[WATERMARKING CITRA DIGITAL BERWARNA MENGGUNAKAN STATIONARY WAVELET TRANSFORM (SWT) ]]>
<![CDATA[Umar, Fitriani]]>;
<![CDATA[Darwis, Herdianti]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.409.1-10
<![CDATA[Digital Image watermarking is widely used and studied for ownership identification, data protection, and authentication. A good watermarking scheme should achieve the watermarking requirements such as imperceptibility, robustness and capacity. This research aims to make robust and imperceptible watermarking by using Stationary Wavelet Transform. The test is done on two levels of transformation and attacked by Salt and Pepper, Speckle, Gaussian Noise, Blur, Compression and Rotation. The results show that method used in this research gives good impercebtility with PSNR value larger than 70 dB on level 1 and larger than 40 dB on level 1. The Robustness test also shows a good result where Normalized Correction value larger 0.9466 on level 1 and larger than 0.9714 on level 2. This also shows that for imperceptibilty, level 1 of transformation gives higher results than in level 2 of transformation, while for robustness, level 2 achieves better value than level 1. ]]>
<![CDATA[PEMANFAATAN MIDDLEWARE ROBOT OPERATING SYSTEM (ROS) DALAM MENJAWAB TANTANGAN REVOLUSI INDUSTRI 4.0 ]]>
<![CDATA[Jalil, Abdul]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.412.45-52
<![CDATA[The industrial revolution 4.0 is the development of industrial based on the internet, control, robotics, and networking. This study describes the usage of a Robot Operating System (ROS) middleware to answer the challenges of the industrial revolution 4.0 for control the industrial electronic devices and household electronic equipment using Raspberry Pi. ROS has nodes, topics and messages that can be used to manage the Raspberry Pi GPIO pins to be active high (1) or active low (0). The result of this study is the system be able to control the on and off electronic devices through the GPIO pins of Raspberry Pi and relay module based on message commands from the ROS node. The electronic devices had controlled in this study are a fan, light, air conditioner, and room heater that have 110/220 AC voltage.]]>
<![CDATA[KOMPARASI NAÏVE BAYES, SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR UNTUK MENGETAHUI AKURASI TERTINGGI PADA PREDIKSI KELANCARAN PEMBAYARAN TV KABEL ]]>
<![CDATA[Lasulika, Mohamad Efendi]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.408.11-16
<![CDATA[One obstacle of the default payment is the lack of analysis in the new customer acceptance process which is only reviewed from the form provided at registration, as for the purpose of this study to find out the highest accuracy results from the comparison of Naïve Bayes, SVM and K-NN Algorithms. It can be seen that the Naïve Bayes algorithm which has the highest accuracy value is 96%, while the K-Neural Network algorithm has the highest accuracy at K = 3 which is 92%, while Support Vector Machine only gets accuracy of 66%. The ROC Curve results show that Naïve Bayes achieved the best AUC value of 0.99. Comparison between data mining classification algorithms namely Naïve Bayes, K-Neural Network and Support Vector Machine for predicting smooth payment using multivariate data types, Naïve Bayes method is an accurate algorithm and this method is also very dominant towards other methods. Based on Accuracy, AUC and T-tests this method falls into the best classification category.]]>
<![CDATA[ANALISIS KINERJA SENSOR PADA ROBOT PENDETEKSI KOTORAN DEBU DAN AIR ]]>
<![CDATA[Hermawansa, Hermawansa]]>;
<![CDATA[Kalsum, Toibah Umi]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.405.53-58
<![CDATA[Sensors are electronic components that have capabilities that are quite reliable and consist of many types, such as ultrasonic sensors, humidity sensors, and dust sensors. At present almost every electronic equipment is equipped with sensor components, such as the robot designed, equipped with humidity sensors and dust sensors. The purpose of this study is to determine the performance of the humidity sensor and dust sensor in detecting dirt and the sensor sends a signal to the microcontroller, Arduino Mega 2560. From the results of sensor performance research on Arduino-based floor dust and water dust detector robots the proximity sensor response time detects a barrier in a room worth 2 seconds, the dust sensor response time detects dust that is 2 minutes due to improper installation of dust sensors so that slow detecting dust. While the humidity sensor response time in detecting water is 3 seconds. For the performance of the robot on the humidity sensor clean the water on the floor as much as 1 ml for 10 to 17 seconds and to show the robot's performance on the humidity sensor to clean the water as much as 2 ml for 20 to 30 seconds.]]>
<![CDATA[ANALISIS PERBANDINGAN DETECTION TRAFFIC ANOMALY DENGAN METODE NAIVE BAYES DAN SUPPORT VECTOR MACHINE (SVM) ]]>
<![CDATA[Riadi, Imam]]>;
<![CDATA[Umar, Rusydi]]>;
<![CDATA[Aini, Fadhilah Dhinur]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.361.17-24
<![CDATA[Intrusion Detection System (IDS) is a software or hardware that can be used to detect any abnormal activity in the network. Situations often arise from various network access in the form of information or data that can cause problems. Detection is a system for detecting activities that are disturbing data access in information. IDS has two methods of doing detection, namely Rule Based (Signature Based) and Behavior-Based. Anomaly traffic can detect an increase in the number of user access and at any time there will be an attack from another party on the network. This study uses 2 algorithm methods are Naïve Bayes and Support Vector Machine (SVM). Naïve Bayes results through the Distributions and Radviz graph data samples have a probability value of 0.1 and the highest probability value is 0.8. Support Vector Machine (SVM) produces a graph that has greater accuracy.]]>
<![CDATA[RANCANG BANGUN SISTEM PENGEMBALIAN UANG KERTAS RUPIAH PADA MESIN VENDING BERBASIS ARDUINO UNO ]]>
<![CDATA[Alifuddin, Moh]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 1 (2019) ]]>
Publisher : <![CDATA[Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i1.402.77-85
<![CDATA[Some of the vending machines currently did not have refund systems. Purpose of this research is building a control system prototype to refund the banknote IDR money on the vending machines using Arduino Uno. The sensor was used to detect the nominal and authenticity of money is TCS3200. Authenticity and nominal of money are detected based on the money color that entered in the money reader system. The results of money detection from the TCS3200 sensor then process in the Arduino Uno. Nominal of money has detected in this research is IDR. 20,000, IDR. 10,000, IDR. 5,000, IDR. 2,000 and IDR 1,000. The output of this system is controlling the mechanical machine using DC motor to withdraw the banknote IDR money out from the machine. The system will automatically process if the consumer entered the nominal of money is greater than from goods price on the vending machine.]]>
