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All Journal Jurnal Buana Informatika Journal of ICT Research and Applications Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Fountain of Informatics Journal Format : Jurnal Imiah Teknik Informatika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro INOVTEK Polbeng - Seri Informatika JMM (Jurnal Masyarakat Mandiri) SINTECH (Science and Information Technology) Journal Jurnal Teknoinfo ILKOM Jurnal Ilmiah J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) JURTEKSI IJISCS (International Journal Of Information System and Computer Science) Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CSRID (Computer Science Research and Its Development Journal) Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Tekno Kompak Respati JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service J-SAKTI (Jurnal Sains Komputer dan Informatika) Insearch: Information System Research Journal JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal of Informatics, Economics, Management and Science Bulletin of Informatics and Data Science Jurnal Informatika: Jurnal Pengembangan IT JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Rohmat Indra Borman
Universitas Teknokrat Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry 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 Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences Other

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Assessment of Teacher Performance in SMK Informatika Bina Generasi using Electronic-Based Rating Scale and Weighted Product Methods to Determine the Best Teacher Performance Syahrizal Dwi Putra; Rohmat Indra Borman; Gina Hapsari Arifin
International Journal of Informatics, Economics, Management and Science (IJIEMS) Vol 1 No 1 (2022): IJIEMS (January 2022)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.37 KB) | DOI: 10.52362/ijiems.v1i1.693

Abstract

Teacher performance assessment is an assessment carried out on the main task activities as a teacher. The aim is to assess the performance of teachers in applying all competencies in the learning process, guidance to educational units and as a basis for planning continuous professional development for teachers. At SMK Informatika Bina Generasi, performance assessments were carried out on several teachers with the process of processing teacher performance appraisal data still semi-structured so it took time, tended to input data repeatedly and errors in data input, inefficient data storage resulted in a longer data search process. and the ongoing assessment has not supported decision-making on teacher performance assessments so that the school has difficulty determining achievement and evaluating teacher performance as a whole. The research method used is a qualitative research method by conducting literature studies, reviewing documents and interviews in determining teacher performance assessment instruments. The results obtained are a teacher performance appraisal system with an electronic-based rating scale method to assist schools and assessors in assessing teacher performance and obtaining teacher performance appraisal information more quickly, effectively and efficiently. In addition, this electronic-based teacher performance appraisal system is also equipped with the ability to rank all teacher performance using the weighted product method so that the best teacher performance is obtained.
CLASSIFICATION OF VEHICLE TYPES USING BACKPROPAGATION NEURAL NETWORKS WITH METRIC AND ECCENTRICITY PARAMETERS Hendra Mayatopani; Rohmat Indra Borman; Wahyu Tisno Atmojo; Arisantoso Arisantoso
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.834 KB) | DOI: 10.34288/jri.v4i1.139

Abstract

One of the efforts to break down traffic jams is to establish special lanes that can be passed by two, four, or more wheeled vehicles. By being able to recognize the type of vehicle can reduce congestion. Citran based vehicle classification helps in providing information about the vehicle type. This study aims to classify the type of vehicle using a backpropagation neural network algorithm. The vehicle image can be recognized based on its shape, then the backpropagation neural network algorithm will be supported by metric and eccentricity parameters to perform feature extraction. Then from the results of feature extraction with metric parameters and eccentricity, the object will be classified using a backpropagation neural network algorithm. The test results show an accuracy of 87.5%. This shows the algorithm can perform classification well.
Klasifikasi Citra Tanaman Perdu Liar Berkhasiat Obat Menggunakan Jaringan Syaraf Tiruan Radial Basis Function Rohmat Indra Borman; Imam Ahmad; Yuri Rahmanto
Bulletin of Informatics and Data Science Vol 1, No 1 (2022): May 2022
Publisher : PDSI

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Abstract

Wild plants or what are usually called weeds are plants that are considered harmful because they grow in unwanted places. But it turns out that some wild plants have many benefits for the health of the human body. Wild plants have many forms of vegetation, one of which is often encountered is shrubs. There are many wild herbaceous plants that are efficacious as medicine. However, most of the people who do not have knowledge about the types of wild shrubs that have medicinal properties. This study aims to implement the Radial Basis Function (RBF) algorithm for the classification of wild herbaceous plant species with medicinal properties by extracting color and texture features. The color feature extraction is based on the average RGB value, while the texture feature extraction uses a Gabor filter with the mean, entropy, and variance parameters of the magnitude image. The result of feature extraction becomes input data which will be managed by the RBF artificial neural network. RBF is a neural network that has three layers that have feedforward properties that can assist in solving classification or pattern recognition problems. Based on the test results, the precision value is 91%, recall is 89% and accuracy is 90%. These results show that the Radial Basis Function (RBF) algorithm with color and texture feature extraction can classify wild shrubs with medicinal properties well.
Implementation of Operational Competitiveness Rating Analysis (OCRA) and Rank Order Centroid (ROC) to Determination of Minimarket Location Ida Mayanju Pandiangan; Mesran Mesran; Rohmat Indra Borman; Agus Perdana Windarto; Setiawansyah Setiawansyah
Bulletin of Informatics and Data Science Vol 2, No 1 (2023): May 2023
Publisher : PDSI

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Abstract

Minimarket location placement is one of the main capital for the business to progress and develop. In determining the location of the minimarket, various considerations must be taken so that nothing is fatal to the sustainability of the business. The problem that occurs in the company in choosing the placement of minmarket locations, namely the various locations that are chosen, each location has its advantages and disadvantages, each of which can affect the analysis of results and takes a long time to make a decision. So that requires a system that can provide a solution to this problem. In this case the resulting system is a system that is useful for determining location placement for minimarkets using the ROC method as its weighting and the OCRA method as a decision generator. This system can provide a solution in determining the location of minimarkets, from various existing locations. The results of each alternative are more objective and definitive in determining the location of minimarkets in a computerized way. For this reason, it is necessary to have supporting criteria for using a decision support system. Determination of importance weight values on conflicting criteria is generated through a weighting method, namely ROC or Rank Order centroid. The OCRA method or Operational Competitiveness Rating Analysis is a method that can calculate and produce rankings efficiently so that the resulting decisions are accurate. The results obtained from the utilization of this system determine the location of minimarkets using the OCRA method and ROC weighting as well as various conflicting criteria determined by the company and development management in Lubuk Pakam resulting in the highest preference value of 0.673 as a location that is suitable for use as a minimarket
Implementasi Penerjemah Bahasa Isyarat Pada Bahasa Isyarat Indonesia (BISINDO) Dengan Metode Principal Component Analysis (PCA) Rohmat Indra Borman; Bentar Priyopradono
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 1 (2018): JPIT, Januari 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i1.631

Abstract

Deaf people can communicate with other normal people by utilizing hearing impairment or by using sign language. Bahasa Isyarat Indonesia (BISINDO) is a sign language promoted by Gerakan Kesejahteraan Tunarungu Indonesia (GERKATIN). An application is required to make people easier to communicate and recognize sign language especially Bahasa Isyarat Indonesia (BISINDO). This research aimed to develop a translator application that can translate a movement of sign language into a text form that can be understood by the normal person. The method used in this research is PCA (Principal Component Analysis) to identify patterns in the data and then express the data to other forms to show differences and similarities between patterns. To recognize the object, this research used a viola-jones method that gives a specific indication of a picture or image. This research will produce an application that can translate 26 letters sign language to the form of letters in general.
Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls Fernando, Yusra; Napianto, Riduwan; Borman, Rohmat Indra
Insearch: Information System Research Journal Vol 2, No 02 (2022): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v2i02.4359

Abstract

Gangguan kontrol impuls merupakan penyakit gangguan mental yang berkaitan dengan kesulitan untuk mengontrol emosinya maupun perilakunya. Gangguan kontrol impuls dianggap berbahaya karena penderitanya akan menglami kondisi dengan suasana hati yang emosional mapupun mudah tersinggung. Orang yang mengidap gangguan kontrol impuls memerlukan terapi khusus dan penanganan oleh psikolog ataupun psikiater. Penelitian ini bertujuan untuk mengimplementasikan algoritma Dempster-Shafer theory pada diagnosa penyakit psikologis gangguan kontrol impuls. Pendekatan Dempster-Shafer theory menitikberatkan pada proses pemberian tingkat keyakinan berdasarkan kombinasi antar bukti-bukti untuk memperkuat peluang. Sistem yang dikembangkan berbasis web agar memudahkan pasien atau pengguna untuk melakukan diagnosa. Sistem pakar yang dikembangkan dapat melakukan diagnosa berdasarkan gejala yang dialami oleh pengguna dan menghasilkan diagnosa serta penjelasan mengenai penyakit tersebut, penyebab dan cara penganannya. Hasil uji akurasi dengan membandingkan hasil diagnosis sistem pakar dengan seorang pakar, memperlihatkan nilai akurasi sebesar 85%. Ini artinya algoritma Dempster-Shafer dapat berjalan dengan baik pada kasus diagnosa penyakit psikologis gangguan kontrol impuls.
Penerapan Teknologi Augmented Reality Katalog Perumahan Sebagai Media Pemasaran Pada PT. San Esha Arthamas Fernando, Yusra; Ahmad, Imam; Azmi, Arief; Borman, Rohmat Indra
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.298

Abstract

PT. San Esha Arthamas is a company engaged in the sale of housing. In marketing its products other than social media, the company uses a housing catalog in the form of a book. However, with this method, people feel confused and less interested in knowing and looking at the products offered. To assist in marketing, the product to be attractive, the housing catalog augmented reality (AR) technology was developed as a marketing medium. AR is a technology that can combine real and virtual objects in 3D in realtime. This research produces an application that can display the types of houses and can perform marker scans by pointing the smartphone camera at the catologist book from various angles including: top, left and right side and back. In addition, users can see interior, exterior, can zoom in, zoom out and rotate. Based on the questionnaire, it shows that the application has an impact in helping marketing with the results that 93% of respondents said they "agree". Overall, based on beta testing, it shows an average value of 88%, when converted the application is included in the "Good" category.
Penerapan Teknologi Augmented Reality Katalog Perumahan Sebagai Media Pemasaran Pada PT. San Esha Arthamas Fernando, Yusra; Ahmad, Imam; Azmi, Arief; Borman, Rohmat Indra
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.298

Abstract

PT. San Esha Arthamas is a company engaged in the sale of housing. In marketing its products other than social media, the company uses a housing catalog in the form of a book. However, with this method, people feel confused and less interested in knowing and looking at the products offered. To assist in marketing, the product to be attractive, the housing catalog augmented reality (AR) technology was developed as a marketing medium. AR is a technology that can combine real and virtual objects in 3D in realtime. This research produces an application that can display the types of houses and can perform marker scans by pointing the smartphone camera at the catologist book from various angles including: top, left and right side and back. In addition, users can see interior, exterior, can zoom in, zoom out and rotate. Based on the questionnaire, it shows that the application has an impact in helping marketing with the results that 93% of respondents said they "agree". Overall, based on beta testing, it shows an average value of 88%, when converted the application is included in the "Good" category.
Sistem Pendukung Keputusan Menentukan Lokasi Perumahan Di Pringsewu Selatan Menggunakan Fuzzy Multiple Attribute Decision Making Rohmat Indra Borman; Mayangsari Mayangsari; Muhamad Muslihudin
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 1, No 1 (2018): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v1i1.874

Abstract

Menentukan sebuah lokasi rumah yang sesuai dan bagus itu tidaklah mudah. Kita harus mencari informasi di tempat-tempat yang ada di pringsewu selatan yang harus kita datangi setiap tempatnya dan kemudian kita bandingkan yang mana yang cocok sesuai keigianan dan banyak diminati oleh konsumen. Penelitian ini bertujuan untuk memilih kreterian–kreteria ini digunakan untuk pemilihan lokasih perumahan yang ideal yang diminati konsumen. Sistem pendukung keputusan atau decision support sistem (DSS) merupakan sebuah sistem untuk mendukung para pengambil keputusan manejerial dalam situasi keputusan semi terstruktur dan disini penulis membuat suatu penelitian tentang model DSS untuk mengetahui kreteria-kreteria lokasi perumahan, penelitian ini menggunakan metode fuzzy multy attribute decision making (FMADM) dimana metode ini merupakan suatu cara untuk mencari alternatif yang oftimal dari sejumlah alternaif dengan kretria tertentu.
Implementation 2D Lidar and Camera for detection object and distance based on RoS Mulyanto, Agus; Borman, Rohmat Indra; Prasetyawan, Purwono; Sumarudin, A
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.466

Abstract

The advanced driver assistance systems (ADAS) are one of the issues to protecting people from vehicle collision. Collision warning system is a very important part of ADAS to protect people from the dangers of accidents caused by fatigue, drowsiness and other human errors. Multi-sensors has been widely used in ADAS for environment perception such as cameras, radar, and light detection and ranging (LiDAR). We propose the relative orientation and translation between the two sensors are things that must be considered in performing fusion. we discuss the real-time collision warning system using 2D LiDAR and Camera sensors for environment perception and estimate the distance (depth) and angle of obstacles. In this paper, we propose a fusion of two sensors that is camera and 2D LiDAR to get the distance and angle of an obstacle in front of the vehicle that implemented on Nvidia Jetson Nano using Robot Operating System (ROS). Hence, a calibration process between the camera and 2D LiDAR is required which will be presented in session III. After that, the integration and testing will be carried out using static and dynamic scenarios in the relevant environment. For fusion, we use the implementation of the conversion from degree to coordinate. Based on the experiment, we result obtained an average of 0.197 meters
Co-Authors A. Sumarudin Abidarin Rosidi Adi Sucipto, Adi Aditya Dwi Saputra Agus Ambarwari Agus Mulyanto Agus Mulyanto Agus Perdana Windarto Agustina Eka Kumala Alfian, Joni Alfry Aristo Jansen Sinlae Amalia, Dira Arief, M Rudyanto Arisantoso Arisantoso Atmojo, Wahyu Tisno Attohiroh Attohiroh Azmi, Arief Bagas Prasetyo Bagas, Prasetyo Bentar Priyopradono Bima Ghafaral Damayanti Damayanti Damayanti, Damayanti Devin Pratama Dyah Ayu Megawaty Edison, Arif Rahman Emi Suwarni Erlina Susanti Erliyan Redy Susanto Erma, Idayanti Fauzi Helmi Fernando, Yusra Gavan Gorbi Caksana Gina Hapsari Arifin Gunawan, Rakhmat Dedi Heni Pujiastuti Herdiansah, Arief Hetty Rohayani Ida Mayanju Pandiangan Idayanti Erma Imam Ahmad Imam Ahmad Imam Ahmad Imam Saputra Iqbal Yasin Irma Hanifah Jafar Fakhrurozi Joni Alfian Kadek Pindrayana Lestari, Ova Mayangsari Mayangsari Mayatopani, Hendra Mesran Mesran Mia Melinda Muhamad Muslihudin Muhammad Adam Putra Darma Muhammad Akbar Napianto, Riduwan Ndaru Kristiawan Nisa Mahmuda Nurhasan Nugroho nurnaningsih, Desi Petrus Mursanto Pindrayana, Kadek Prasetyawan, Purwono Prasetyo, Bagas Prastowo, Agung Tri Priandika, Adhie Thyo Purwanto, Yogi Putri Nurlandari Quraysh Quraysh Riduwan Napianto Riduwan Napianto Rossi, Farli Rosyid Ridlo Al-Hakim S. Samsugi Samsugi Samsugi Setiawansyah Setiawansyah Sigit Pramono Sonia Maylinda Syahrizal Dwi Putra Tiya Monica Wisnu Jatmiko Yohanes Egi Pratama Yudoutomo Yuri Rahmanto Yusra Fernando Zaenal Abidin