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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Transmisi: Jurnal Ilmiah Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika Jurnal Manajemen Keuangan Publik AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal Kesehatan Global PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Jurnal Bumigora Information Technology (BITe) Pengmasku Prosiding Seminar Riset Mahasiswa Jurnal Nusantara Mengabdi Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Bakti Masyarakat Manajemen

Imam Much Ibnu Subroto

Department Of Informatics, Universitas Islam Sultan Agung

Author-ID : 284759

Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 96 Documents Claim Missing Document

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Design of Computer Based Signal Generator Abdelhadi Husein Aburawis; Imam Much Ibnu Subroto; Muhammad Qomaruddin
Journal of Telematics and Informatics Vol 4, No 1: March 2016
Publisher : Universitas Islam Sultan Agung

The project includes various types of signals alternative study and representation of a computer in digital format and out through the port as an outlet for the output of digital data to generate signals and electronic control circuit of the printer parallel LPTI prevailing used to generate signals. The aim of the research is to evaluate the usage of the computer including the advantage of its possibilities, capabilities in multiple signals processing, and control signal generation methods in many ways that are used to generate various signals at frequencies different capacities. The necessary software requires generating different types of signals, frequencies, and capacities. It is as well as the different software required for the purpose of controlling the electronic circuit. It has been relying on a programmatic method depends on the language of Visual Basic. In addition to the study of the physical system requirements, the analysis how to connect them with the computer and version control signals E-circle this study using speed of a transferring time for generator is Tc = 100nsec. The Speed of a computer which is used to treat ‘1000 MHz’, is got on the farthest frequency to get out from the circle is ‘2500 Hz’. It is used to different signals, sine, triangular or square in 30 samples. The sample numbers are tested. The result of this study shows that each of the sample number, input frequency, and sample time influence the results clearly. If the sample numbers increase, the accuracy of the waves increases. If the input frequency increases, the width of the wave losses. Keywords: Signal Generator, Computer, Visual Basic, Signals

Machine Learning Approaches on External Plagiarism Detection Imam Much Ibnu Subroto; Ali Selamat; Badieah Assegaf
Journal of Telematics and Informatics Vol 4, No 2: September 2016
Publisher : Universitas Islam Sultan Agung

External plagiarism detection is a technique that refers to the comparison between suspicious document and different sources. External plagiarism models are generally preceded by candidate document retrieval and further analysis and then performed to determine the plagiarism occurring. Currently most of the external plagiarism detection is using similarity measurement approaches that are expressed by a pair of sentences or phrase considered similar. Similarity techniques approach is more easily understood using a formula which compares term or token between the two documents. In contrast to the approach of machine learning techniques which refer to the pattern matching and cannot directly comparing token or term between two documents. This paper proposes some machine learning techniques such as k-nearest neighbors (KNN), support vector machine (SVM) and artificial neural network (ANN) for external plagiarism detection and comparing the result with Cosine similarity measurement approach. This paper presented density based that normalized by frequency as the pattern. The result showed that all machine learning approach used in this experiment has better performance in term of accuracy, precision and recall.

Expert System on Soybean Disease Using Knowledge Representation Method Laksamana Rajendra Haidar; Imam Much Ibnu Subroto; Arief Marwanto
Journal of Telematics and Informatics Vol 5, No 1: March 2017
Publisher : Universitas Islam Sultan Agung

Soybean (Glycine mx L.) is one of the important strategic commodity in Indonesia which is cultivated widely. Soybean demand continues rise increasly demand for soy as food industry ingredients such as tofu, tempeh, soy milk soy tauco and snack. However, efforts to increase the production and development of soybean agribusiness has some constraints that may reduce production by 50% due to certain diseases. The situation is of course very detrimental to soybeans in particular and the public in general. But the farmers have very low knowledge about the technical maintenance of the soybean crop. These circumstances resulted in a high dependence of farmers on crop pest controllers are limited. To overcome these problems was made based application based mobile operating system Android. However, mobile devices have limitations in computing resources ranging from the ability of the processor to the memory capacity. To optimize computing resources on mobile devices, we need a method of knowledge representation that consists of a frame-based and rule-based representation with the rules or rule that is used to determine whether the peanut plants infected with certain diseases, in which the types of diseases that can be detected on do this thesis includes diseases of bacterial pustules, antarchnose disease, mosaic virus disease, damping, rust disease and blight. then analyzed knowledge representation which is the most optimal. This can be done by comparing the scenario some knowledge of the representation of the level of validity and cases symptoms can be resolved.Keywords: expert system,soybean disease ,android,knowledge representation

Cosine Similarity Measurement for Indonesian Publication Recommender System Darso D; Imam Much Ibnu Subroto; Prasetyowati Sri Arttini Dwi
Journal of Telematics and Informatics Vol 5, No 2: September 2017
Publisher : Universitas Islam Sultan Agung

So many publications are increasing every year and it causes an overflow of data and it makes the information function on the site cannot be delivered entirely to the visitors. As a scientific publication site, the IPI garuda portal (Index of Indonesian publications) has more than 4000 Indonesian journals in the database. Therefore it will be designed a system that can provide information and knowledge for the user. The system can also provide recommendations related articles and relevant for users. Recommendations are made by calculating similarities between related documents. The similarity calculation method used in this research was cosine similarity. The steps taken were pre-processed, weight calculation, vector length and then they were calculated using cosine similarity so that the value would be achieved that ranged from 0 to 1. Performance testing of recommendation system used precision and recall. Performance system with average precision value about 0.664 meant that the document had good system accuracy, and then the average recall point with value about 0.962 meant that documents were successfully returned by the system.

Indonesian Articles Recommender System Using n-gram and Tanimoto Coefficient Supriyanto S; Imam Much Ibnu Subroto; Muhammad Khosyiin
Journal of Telematics and Informatics Vol 6, No 1: March 2018
Publisher : Universitas Islam Sultan Agung

Human needs of technology and the availability of adequate infrastructure are evidences that the technology currently becomes part of the human beings’ basic necessities. Growing multitude of journals and scientific papers makes choosing and sorting become more selective though there have been many online journals service providers and portals. Research on search engines, plagiarism and recommendation system has been carried out with various methods to improve the performance of the system itself, this paper aims to calculate similarities between one article with other articles by implementing n-gram and tanimoto cosine. The number of articles tested were forty-three titles and abstracts, tests were carried fifty times with random selected keywords, by separating each sentences of the title and abstract into n characters (n = 2) including spaces and punctuation, then calculating similarity to the query or keywords used to test the system. Testing was done using several variation of the thresholds. After observing the fifty times-testings, the threshold value of 0.30, produced accuracy = 0.86, precision = 0.37 and recall = 0.44.

Integer Programming for Scheduling Computation Alternative Machines Parallel Multi Operations Irwan Sukendar; S Suprayogi; Imam Much Ibnu Subroto
Journal of Telematics and Informatics Vol 6, No 3: September 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i3.

This paper deals with integer programming for computing alternative scheduling problems of multi-parallel machine operation. The purpose function used is weighted total tardiness. The model formulation comprises the formulation of the objective function and the formulation of the 16 limiting functions. The model was tested using a numerical example consisting of four multi-operation jobs and several machine alternatives in mathematical software Lingo 9. The programming results show that a feasible solution with a weighted total tardiness measure size of eight.

Sentiment Analysis of Indonesian Figure using Support Vector Machine Suharyo Herwasto; Imam Much Ibnu Subroto; Badieah Assegaf
Journal of Telematics and Informatics Vol 6, No 3: September 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i3.230-237

On the political year 2018 will be mutually popping reverberated figures for Indonesian presidential candidate 2019. The figures recognition process generally are now using social media, so it would appear the opinions of social media users. Opinions that appeared not only contain positive and negative polarity, but also contain a sentence of subjective and objective. By using a machine learning algorithm, namely Support Vector Machine, made sentiment analysis. The results of the analysis of this sentiment more optimally use the kernel Linear with the F-Measure of Polarity 68%, 68%, 63%, and the F-Measure Subjectivity 73%, 77%, 75% for each figure Anies Baswedan, Joko Widodo, and Prabowo Subianto.

Forward and Inverse Kinematic on Wheeled Soccer Robot La Ode Muhamad Idris; Sri Arttini Dwi Prasetyowati; Imam Much Ibnu Subroto
Journal of Telematics and Informatics Vol 6, No 4: December 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i4.

In this research rotary encoder sensor and gyroscope sensor are used as main sensor for moving wheeled soccer robot. Rotary encoder is used to measure the speed and distance of each robot wheel and the gyroscope is used to measure the orientation of the robot, then both of them expressed in cartesian diagrams (x, y, θ). A rotary encoder type magnetic incremental encoder is used in this research and it mounted on each wheel. Inverse kinematic and forward kinematic are used to control the movement of the robot when positioning in the field or making decision when kicking the ball towards the opponent’s side and the other decision. From the test results, robot can move to any direction from the starting position to the end position with a different robot orientation and robot can measure the coordinates of the robot with average error of x = 5.37%, y = 5.2%, and Theta = 0.26%. The robot is also able to move in the direction of the coordinates given with a traveling time of 3-4 seconds.

Analysis of Bone Fracture Detection Based on Harris Corner Detector Method Bahrun Niam; Imam Much Ibnu Subroto; Sri Arttini Dwi Prasetyowati
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i1.

Bone is part of the human body to sustain other parts of the body. One of the bones is leg bone. Leg bones have often cracks or fractures caused by collision. Leg bone fractures can be identified by using x-ray manually. Eye train can cause less accurate in identifying the result of roentgen so that it needs a method to make radiologist easier in determining leg bone fractures. The recommended method in this research was Harris corner detector method. Before identified, the object was firstly in pre-processing such collecting data, grayscale and cropping image. The research result was Harris corner detector method could identify leg bone fractures with 70% accuracy. Bone is part of the human body to sustain other parts of the body. One of the bones is leg bone. Leg bones have often cracks or fractures caused by collision. Leg bone fractures can be identified by using x-ray manually. Eye train can cause less accurate in identifying the result of roentgen so that it needs a method to make radiologist easier in determining leg bone fractures. The recommended method in this research was Harris corner detector method. Before identified, the object was firstly in pre-processing such collecting data, grayscale and cropping image. The research result was Harris corner detector method could identify leg bone fractures with 70% accuracy.

Optimizing Group Discussion Generation Using K-Means Clustering And Fair Distribution Alfano Endra Wardhana; Imam Much Ibnu Subroto; Sri Arttini Dwi Prasetyowati
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

The development of computer-based learning system today can provide a different learning process in a teaching and learning process, but the problems faced by a teacher is the difficulty in grouping discussion group that has a different value of knowledge and skills, because usually this selection of discussion groups in e-learning is done based on the wishes of each student or randomly regardless of the data of knowledge and skills. This research was conducted with the aim of grouping the discussion groups based on the indicators of knowledge and skill by using k-means clustering analysis at SMK Sore Tulungagung. The knowledge and skills scores of class X students in Pekerjaan Dasar Elektromekanik subjects, The Competence of Electricity Installation Engineering will be used as the basic scores. Then, the students of class X were divided into 2 groups, namely the k-means based group and the random based group for further research. The mean score of knowledge and skills are before the learning process and after the results of the evaluation of the discussion group on the k-means based and the random based group. The k-means based class score increases 4,083 from the average. Before the learning, it was 83.292 and it becomes 87.375 after the evaluation, while the random based class only experienced an increase 0,083 from the average. Before the learning it was 81,250 and it becomes 81,333 after the learning evaluation. Based on the result, grouping the discussion group in a fair way in e-learning on the indicators of knowledge and skills using k-means clustering method shows more visible improvement, so k-means clustering is a more optimal method.

Co-Authors A Azidny A. A. Uliansyah, Beta Abdelhadi Husein Aburawis Abdul Rohman Soleh Achmad Chaidir Adi Ariyo Munandar Adib Ulil Anwar Agung Suryowibowo Ahmad Syarif Hidayatullah Akhmad Priharjanto, Akhmad Akhmad Solikin Akhsinatul Laeliyah Alfano Endra Wardhana Alfiah Nurul Fatimah Intan Pertiwi Ali Selamat Ali Selamat Andhika Bayu Pratama Andi Riansyah Arief Marwanto Arifin, Bustanul Arifin, Zaenal Arigama, Rizki Artini DP, Sri Aser Anou Ashar, Firbaya Mutiara Asih Widi Harini Ayunda Miftakhul Laili Azmia, Hisnan Faudan Badieah Assegaf Badieâ€™ah, Badieâ€™ah Badie’ah, Badie’ah Bahrun Niam Bahtiar, Thoriq Basit, Abdul Budi Cahyo Wibowo Bustanul Arifin Bustanul Arifin Chaerul Haviana, Sam F. Chanif, Muhammad Nur Daniyah, Daniyah Darso D Dedy Kurniadi Deris Stiawan Deshinta Arrova Dewi Dwi Zunia Arianto Eka Nuryanto Budi Susila Eko Saputra, Wardianto F Feriawan Fadhilah, Achmad Naufal Fahmi Arif Dewoputro Fahrizal, Fery Fajar Yumono Fajarini, Intan Putri Nur Febrian Rio Hartono Fitri Anindyahadi Goli Arji Hardjana, Irawan Pudja Hud Munawar Ilhamsyah, Muhamad Reynaldi Imam Hendi Susanto Irfan Fadhil Irwan Sukendar Irwan Sukendar Iska Yanuartanti khaled jemah basher Kharis Abdullah La Ode Muhamad Idris Laksamana Rajendra Haidar Lestari Kurniawati, Lestari Lina Handayani Mahfud Ade Purwanto Maryuliana Maryuliana Maulida, Aina Nurul Mekacahyani, Rakhimatulfitria Milasanti, Denina Moch Taufik Moloud Abdar Muhamad Haddin Muhamad Qomaruddin Muhammad Fadelillah Muhammad Khosyiin Muhammad Nur Gofinda Muhammad Qomaruddin Muhammad Rahman Hakim Munawar Agus Riyadi Mustafa, Mustafa Najmah, Najmah Nova Catur Anggi Cahyo Nur Ramadhanif Nur'aini, Intan Nurhidayah, Eva Nurhidayati Nurhidayati Nurnasikha, Kusuma Nuzulia Khoiriyah Poetro, Bagus Satrio Waluyo Pranoto Wibowo Prasetyo, Muhammad Krisna Heri Putra, Allief Suryatama Jaya Putra, Yustian Dikma Eka Putri, Sarah Dwi Qirom Qirom Rachmad Gabels Raden Abdul Rahman Ratna Supradewi Riansyah, Andi Ridwan Putri, Sandhyakalaning Jiwatami Riky Maulana Firdaus Rini Oktarina Riyadh Alnajih Alsayih Riyani, Dita Rizki Arigama Rohman, Andhi Rony, Zahara Tussoleha Rusmal Firmansyah S Suprayogi Saadah, Farikhatus Sam F. Chaerul Haviana Sam Farisa Chaerul Haviana Sapto Utomo Sharareh R. Niakan Kalhori Sigit Ardianto Sofia Murtiani Sri Artini DP Sri Arttini Dwi Prasetyawati Sri Mulyono Suharyo Herwasto Sukendar, Irwan Supriyanto S Suryani Alifah Suyanto Suyanto Tole Sutikno Tri Basuki Kurniawan Trisnawarman, Trisnawarman Ulil Albab Ushuludin, Mohammad Wardianto Eko Saputra Wicaksono, Yusuf Arief Wiwiek Fatmawati Yahya Hidayatullah Yasni, Loura Yusuf Arief Wicaksono Zaenal Arifin

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