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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 Rekayasa Sistem Informasi dan Teknologi

Imam Much Ibnu Subroto

Department Of Informatics, Universitas Islam Sultan Agung

Author-ID : 284759

Agriculture, Biological Sciences & Forestry Humanities 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 Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences

Published : 94 Documents Claim Missing Document

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Forming Heterogeneous Group in Cooperative Learning Process using Partitioning Around Medoids (PAM) and Equitable Distribution Imam Much Ibnu Subrotto; Badieah Badieah; Wardianto Eko Saputra
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Selection of methods will greatly impact in learning process. One of the methods commonly applied are Cooperative learning. Cooperative learning is one of many learning techniques to improve the performance of students in the academic literature. Moreover, the heterogeneity in study group’s academics can improve performance, but only partially implementing cooperative learning in a group of heterogeneous formations. The problem faced in this type is the process of forming group of students into a heterogeneous group and inter-group quality is relatively equal or balanced. In this study, the authors aimed to provide intelligent solutions in the distribution group based on the value (The value of achievement on related subjects) and personality traits of each student in the determination of the performance of students are using the algorithm clustering Partitioning Around Medoids (PAM) in consideration of the value of measurement Euclidean Distance (ED) and the equitable distribution to form heterogeneous groups based on their level of heterogeneity in Measured with Goodness of Heterogeneity in Group (GH) and the rate of coefficient variation (CV) in same group or between groups with groups and equitable distributions on college campuses.

Foreword from Chair of EECSI 2016 Imam Much Ibnu Subroto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

In the name of Allah, the Gracious Most Merciful It is great pleasure to welcome out colleagues from all over the world to attend 3rd International Conference on Electrical Engineering, Computer Science, and Informatics (EECSI 2016) Conference in Semarang City, Central Java, Indonesia EECSI 2016 provides a forum for researchers, academicians, professionals, and students from various engineering fields and cross-disciplinary working or interested in the field of Electrical Engineering, Computer Science, and Informatics especially: Power Engineering, Power Systems and Protection; Electric Power Transmission and Distribution; High Voltage Engineering and Insulation Technology; Renewable Energy Sources, Smart-grids Technologies & Applications; Energy: Policy, Security, Infrastructure, Growth and Economics; Power Electronics and Drives; Control, Automation, Instrumentation and Robotics; Information, Internet of Things and Internet Technologies; Electromagnetic Waves and Field; Circuits and Systems; Semiconductors and Applications; Microelectronics and Electronics Technologies; Electronics and Photonics; Wireless Telecommunications and Networking; Remote Sensing and Data Interpretation; Signal, Image, Video & Multimedia Processing; ICT for Electrical and Electronics Applications; Computer Network & Information Security; High Performance Computing and Communication; Databases, Data Mining and Software Engineering. ....

Conveyor Performance based on Motor DC 12 Volt Eg-530ad-2f using K-Means Clustering Zaenal Arifin; Sri Artini DP; Imam Much Ibnu Subroto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

To produce goods in industry, a controlled tool to improve production is required. Separation process has become a part of production process. Separation process is carried out based on certain criteria to get optimum result. By knowing the characteristics performance of a controlled tools in separation process the optimum results is also possible to be obtained. Clustering analysis is popular method for clustering data into smaller segments. Clustering analysis is useful to divide a group of object into a k-group in which the member value of the group is homogeny or similar. Similarity in the group is set based on certain criteria. The work in this paper based on K-Means method to conduct clustering of loading in the performance of a conveyor driven by a dc motor 12 volt eg-530-2f. This technique gives a complete clustering data for a prototype of conveyor driven by dc motor to separate goods in term of height. The parameters involved are voltage, current, time of travelling. These parameters give two clusters namely optimal cluster with center of cluster 10.50 volt, 0.3 Ampere, 10.58 second, and unoptimal cluster with center of cluster 10.88 volt, 0.28 Ampere and 40.43 second.

A Position Controller Model on Color-Based Object Tracking using Fuzzy Logic Budi Cahyo Wibowo; Imam Much Ibnu Subroto; Bustanul Arifin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Robotics vision is applying technology on the camera to view the environmental conditions as well as the function of the human eye. Colour object tracking system is one application of robotics vision technology with the ability to follow the object being detected. Several methods have been used to generate a good response position control, but most are still using conventional control approach. Fuzzy logic which includes several step of which is to determine the value of crisp input must be fuzzification. The output of fuzzification is forwarded to the process of inference in which there are some fuzzy logic rules. The inference output forwarded to the process of defuzzification to be transformed into outputs (crisp output) to drive the servo motors on the X-axis and Y-axis. Fuzzy logic control is applied to the color- based object tracking system, the system is successful to follow a moving object with average speed of 7.35 cm/s in environments with 117 lux light intensity.

Designing Business System Model Using System Modeling Approach to the Small and Medium Enterprises (SME) of Furniture in Indonesia Irwan Sukendar; Wiwiek Fatmawati; Imam Much Ibnu Subroto; Rizki Arigama
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

This paper studies the design of business system model with System Modeling Approach on small and medium enterprises (SMEs) of furniture. Methods used consists of five phases: phase of identification of business processes actual on SMEs of Furniture, phase of identification of deficiencies and improvement of business processes, phase of design algorithm and flowchart business processes, phase of analysis of the elements of the system, and phase of the design of data flow diagram (DFD), The results of the analysis of the elements of the system are: Products and quantities ordered product consumers and DP paid by consumers identified as elements of system inputs 1,2 and 3. The result of the calculation, payment slips and mail order (SO) are identified as elements of system output 1, 2 and 3. Acceptance of orders, stocks checking of raw materials at the warehouse, calculating raw material requirements, adequacy of raw materials, the price of the contract, and the due date, as well as the submission of the results of calculations to consumers were identified as elements of system components 1, 2, 3, and 4. Admin taking orders, Admin check stocks of raw materials at the warehouse, Admin making calculation, and Admin convey the results of calculations to consumers were identified as an element of interaction system 1, 2, 3, and 4. Consumers were identified as element of environmental systems. Moreover, the boundary between SMEs and consumers were identified as elements of the system boundary.

Obtaining Reference's Topic Congruity in Indonesian Publications using Machine Learning Approach Sam F. Chaerul Haviana; Imam Much Ibnu Subroto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1971

There are some criteria on how an article is categorized as a good article for publications. It could depend on some aspect like formatting and clarity, but mainly it depends on how the content of the article is constructed. The consistency of the topic that the article was written could show us how the authors construct the main idea in the article content. One indication that shows this consistency is congruity in the article’s topic and the topic of literature or reference cited in the document listed in the bibliography. This works attempting to automate the topic detection on the article’s references then obtain the congruity to the article title’s topic through metadata extraction and text classification. This is done by extracting metadata of an article file to obtain all possible reference title using GROBID than classify the topic using a supervised classification model. We found that some refinements in the whole approach should be considered in the next step of this work.

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 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 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 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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