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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) CommIT (Communication & Information Technology) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Journal of Economic, Bussines and Accounting (COSTING) International Journal of New Media Technology CHEESA: Chemical Engineering Research Articles Jurnal ULTIMA InfoSys Jurnal ULTIMA Computing IKRA-ITH EKONOMIKA JISICOM (Journal of Information System, Infomatics and Computing) ACADEMICS IN ACTION Journal of Community Empowerment Journal of Information Systems and Informatics JISA (Jurnal Informatika dan Sains) Jurnal PORKES Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Darma Agung Indonesian Journal of Global Health research Indonesia Berdaya Integral : Jurnal Penelitian Pendidikan Matematika Warta AKAB Jurnal Pengabdian Masyarakat Nusantara Journal Midwifery Jurusan Kebidanan Politeknik Kesehatan Gorontalo Jurnal Abdi Masyarakat Indonesia International Journal of Management Science and Information Technology (IJMSIT) Prabayaksa: Journal of History Education Indonesian Journal of Cancer IT For Society : Journal of Information Technology Sharia Agribusiness Journal Journal of Industrial Community Empowerment Indonesian Journal of Community Empowerment (IJCE) e-Jurnal Apresiasi Ekonomi JPM-AKA Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics Neraca Manajemen, Akuntansi, dan Ekonomi Jurnal Kesehatan Metro Sai Wawai Jurnal Multidisiplin Indonesia Journal of Social Work and Science Education ZIJEn: Zabags International Journal of Engagement Akiratech JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rosalina Rosalina
President University
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Implementation of Real-Time Static Hand Gesture Recognition Using Artificial Neural Network Yusnita, Lita; Rosalina, Rosalina; Roestam, Rusdianto; Wahyu, R. B.
CommIT (Communication and Information Technology) Journal Vol 11, No 2 (2017): CommIT Vol. 11 No. 2 Tahun 2017
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i2.2282

Abstract

This paper implements static hand gesture recognition in recognizing the alphabetical sign from “A” to “Z”, number from “0” to “9”, and additional punctuation mark such as “Period”, “Question Mark”, and “Space” in Sistem Isyarat Bahasa Indonesia (SIBI). Hand gestures are obtained by evaluating the contourrepresentation from image segmentation of the glove wore by user. Then, it is classified using Artificial Neural Network (ANN) based on the training model previously built from 100 images for each gesture. The accuracy rate of hand gesture translation is calculated to be 90%. Moreover, speech translation recognizes NATO phonetic letter as the speech input for translation.
A Comparison of Machine Learning Algorithms in Manufacturing Production Process Rosalina, Rosalina
CommIT (Communication and Information Technology) Journal Vol 13, No 1 (2019): CommIT Vol. 13 No. 1 Tahun 2019
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v13i1.5177

Abstract

This research aims to improve the productivity and reliability of incoming orders in the manufacturing process. The unclassified data attributes of the incoming order can affect the order plan which will impact to the low productivity and reliability in the manufacturing process. In order to overcome the problem, machine learning algorithms are implemented to analyze the data and expected to help the manufacturing process in deciding the incoming order arrangement process. Four machine learning algorithms are implemented (Decision Tree, Nave Bayes, Support Vector Machine, and Neural Network). These machine learning algorithms are compared by their algorithm performance to the manufacturing process problem. The result of the research shows that machine learning algorithms can improve the productivity and reliability rate in production area up to 41.09% compared to the previous rate without any dataset arrangement before. The accuracy of this prediction test achieves 97%.
University Guide using Speech Recognition and Computer Vision Anthony Kosasi; Nur Hadisukmana; Rosalina Rosalina; R.B. Wahyu; Budi Sulistyo; Yuyu Wahyu
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2017
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Education is an important factor inside mankind’s existence. However, choosing a great and promising place to learn is a very hard thing to do, especially for senior high school student who want to continue their education into the university. There are a lot of universities around us and a lot of major or concentration that we must choose before entering a university Considering this issue, Some application will be developed and the application will help people in understanding some majors those are available and help people to know about some universities in Indonesia whether about vision, mission, curriculum, etc. This application will not be a boring information application that provides information in text and let user read it. This is rather an attractive application that will tell some information about each major in speech and also give information about each university when user scan the university logo with computer vision. Not only that, after user scans the university logo, video profile of the university will be played and then user can pause, stops or plays the video also by using speech. Some additional feature like migration into major field and website link will also be provided.
Pelatihan Pembuatan Media Pembelajaran untuk Guru-Guru SMA di Daerah Cikarang Rosalina Rosalina; Genta Sahuri; Tjong Wansen; Abdul Ghofir
ACADEMICS IN ACTION Journal of Community Empowerment Vol 2, No 1 (2020)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/aia.v2i1.995

Abstract

Dalam era teknologi informasi saat ini, guru merupakan tenaga pendidik profesional yang perannya sebagai pemateri sudah bisa digantikan oleh teknologi itu sendiri. Menyikapi kondisi tersebut, para guru dituntut untuk bisa berfungsi sebagai fasilitator yang mampu mengembangkan kreativitas dan dinamika dalam menggali potensi sumber dan media pembelajaran sehingga diharapkan perannya sebagai penyampai tetap diperlukan yang pada akhirnya bisa tetap menjaga kualitas belajar mengajarnya. Untuk itu, guru dituntut untuk bisa menjadi fasilitator yang membekali dirinya dengan wawasan dan keterampilan dalam pengembangan dan pembuatan media pembelajaran yang mutakhir dan menyesuaikan situasi dan perkembangan zaman. Dari diskusi dan interaksi yang dilakukan terlihat bahwa para guru di SMA Cikarang pada umumnya masih mengalami kesulitan dalam beradaptasi dengan metode pembelajaran yang melibatkan media teknologi informasi. Salah satu penyebabnya adalah karena masih kurangnya sarana dan prasarana yang dapat menunjang keaktifan dan semangat murid dalam belajar, serta para guru yang masih belum bisa dan terbiasa dalam membuat media pembelajaran yang sesuai dengan lingkungan dan zaman siswa. Oleh karena itu tim pelaksana memberi Pelatihan Pembuatan Media Pembelajaran kepada Guru-guru SMA di Kabupaten Bekasi dengan harapan dapat meningkatkan efektivitas dan kualitas proses pembelajaran di SMA pada akhirnya akan menunjang tercapainya tujuan pendidikan di sekolah sasaran.
Implementation of Real-Time Static Hand Gesture Recognition Using Artificial Neural Network Lita Yusnita; Rosalina Rosalina; Rusdianto Roestam; R. B. Wahyu
CommIT (Communication and Information Technology) Journal Vol. 11 No. 2 (2017): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i2.2282

Abstract

This paper implements static hand gesture recognition in recognizing the alphabetical sign from “A” to “Z”, number from “0” to “9”, and additional punctuation mark such as “Period”, “Question Mark”, and “Space” in Sistem Isyarat Bahasa Indonesia (SIBI). Hand gestures are obtained by evaluating the contourrepresentation from image segmentation of the glove wore by user. Then, it is classified using Artificial Neural Network (ANN) based on the training model previously built from 100 images for each gesture. The accuracy rate of hand gesture translation is calculated to be 90%. Moreover, speech translation recognizes NATO phonetic letter as the speech input for translation.
A Comparison of Machine Learning Algorithms in Manufacturing Production Process Rosalina Rosalina
CommIT (Communication and Information Technology) Journal Vol. 13 No. 1 (2019): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v13i1.5177

Abstract

This research aims to improve the productivity and reliability of incoming orders in the manufacturing process. The unclassified data attributes of the incoming order can affect the order plan which will impact to the low productivity and reliability in the manufacturing process. In order to overcome the problem, machine learning algorithms are implemented to analyze the data and expected to help the manufacturing process in deciding the incoming order arrangement process. Four machine learning algorithms are implemented (Decision Tree, Nave Bayes, Support Vector Machine, and Neural Network). These machine learning algorithms are compared by their algorithm performance to the manufacturing process problem. The result of the research shows that machine learning algorithms can improve the productivity and reliability rate in production area up to 41.09% compared to the previous rate without any dataset arrangement before. The accuracy of this prediction test achieves 97%.
Maximal Overlap Discrete Wavelet Transform, Graph Theory And Backpropagation Neural Network In Stock Market Forecasting Rosalina Rosalina; Hendra Jayanto
IJNMT (International Journal of New Media Technology) Vol 5 No 1 (2018): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1103.54 KB) | DOI: 10.31937/ijnmt.v5i1.679

Abstract

The aim of this paper is to get high accuracy of stock market forecasting in order to produce signals that will affect the decision making in the trading itself. Several experiments by using different methodologies have been performed to answer the stock market forecasting issues. A traditional linear model, like autoregressive integrated moving average (ARIMA) has been used, but the result is not satisfactory because it is not suitable for model financial series. Yet experts are likely observed another approach by using artificial neural networks. Artificial neural network (ANN) are found to be more effective in realizing the input-output mapping and could estimate any continuous function which given an arbitrarily desired accuracy. In details, in this paper will use maximal overlap discrete wavelet transform (MODWT) and graph theory to distinguish and determine between low and high frequencies, which in this case acted as fundamental and technical prediction of stock market trading. After processed dataset is formed, then we will advance to the next level of the training process to generate the final result that is the buy or sell signals given from information whether the stock price will go up or down. Index Terms—stock market, forecasting, maximal overlap wavelet transform, artificial neural network, graph theory, backpropagation.
Pendeteksian Ruang Kosong Parkir di dalam Ruangan Nunik Afriliana; Rosalina Rosalina; Regina Valeria
Ultima Computing : Jurnal Sistem Komputer Vol 10 No 1 (2018): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2055.885 KB) | DOI: 10.31937/sk.v10i1.888

Abstract

Menemukan tempat parkir kosong di tempat parkir dalam ruangan seperti pusat perbelanjaan menjadi kesulitan banyak pengemudi, terutama saat jam sibuk di kota-kota besar. Dalam makalah ini, sebuah sistem deteksi kekosongan tempat parkir dalam ruangan diusulkan, dengan menggunakan sistem kamera yang melibatkan OpenCV untuk mempercepat waktu dalam mencari tempat parkir bagi pengemudi kendaraan dengan memberi mereka informasi lokasi dan tempat parkir. Sistem ini menggunakan metode deteksi objek statis, yaitu Haar-Like Cascade Classifier yang dikombinasikan dengan Hough Line Detection untuk mengidentifikasi area parkir kosong dari gambar parkir yang diambil secara real time melalui kamera IP atau kamera USB. Sistem ini dirancang untuk disematkan dengan sistem manajemen parkir sebuah bangunan sebagai alat yang menyediakan tempat parkir untuk membantu pengemudi kendaraan memasuki area parkir. Index Terms—Haar-Like Cascade Classifier, Hough Line Detection, Sistem Maanajemen Parkir
Analisa Perbandingan Kinerja Algoritma Kolaboratif Filtering Rosalina Rosalina; Hokki Putra Handika
IT for Society Vol 3, No 01 (2018)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (985.762 KB) | DOI: 10.33021/itfs.v3i01.579

Abstract

Transportation Management System is very needed in optimize efficiency and effectiveness on logistics company. One of the most important part of transportation management system is determining delivery route from a depot to each customer. A lot of studies have been done about determining the best route in a shipping ritation with various algorithms. In the previous research, determination of delivery route is done without any implementation in the application. During the route determination is still done manually it will make a flow process in the company is not maximize. Model development aims to make an implementation application that serves to determine delivery route based on the problem of vehicle routing problem using the nearest neighbour method which is restricted to heavy loads in the transportation. Implementation of route determination an application will be done based on business process in transportation company, named PT. X,  so it is necessary to observe the company. Compared to previous research, this research will determine delivery route in application based on the problem of vehicle routing problem using the nearest neighbour method.
SMS Compression System using Arithmetic Coding Algorithm Rosalina Rosalina; Wahyu Hidayat
IT for Society Vol 3, No 02 (2018)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (453.118 KB) | DOI: 10.33021/itfs.v3i02.586

Abstract

Short Message Service (SMS) has limitation in the length of its text message, which only provides 160 characters per SMS. It means that if we send more than 160 characters, it will be considered as sending more than one SMS, so that we have to spend more cost for sending SMS. On the other side, the Arithmetic Coding algorithm provides an effective mechanism for text compression. It has performed the great compression result and in many case it was considered as the better compression algorithm than other ones, such as Huffman and LZW (Lempel-Ziv-Welch). This research will implement the Arithmetic Coding algorithm to develop an application that will compress the SMS text message. The concept of Arithmetic Coding will be implemented to compress the SMS text message before it is sent from the sender to the receiver. The application is called CheaperZipper (CZ). This application will handle the sending and receiving SMS in the hand phone by preceding the compression and decompression process. 
Co-Authors Abdul Ghofir Ade Davy Wiranata Afriliana, Nunik Afriyadi, Afriyadi Ahmad Zakaria Aishaa Lula Al Qadri, Muhammad Vannes Alham, Fiddini Anthony Kosasi Anugrah Putra Permana Ardi wijaya Ardini, Ni Luh Ica Armando, Yoel Asriyani, Wa Ode Astuti, Kristiana Axel Sengkey Aynuddin, Aynuddin Batubara, Hani Maisyarah Bimo Seto, Kahfi Akmal Janitra Brian Sumali Brian Sumali, Brian Budi Sulistyo Bukman Lian, Bukman Candra Irawan Chairil Anwar Chong Min An Christina Christina Christina Christina Cindy Laura Desriva, Hana Dessy Wardiah, Dessy Dewi, Resita Dewin, Nikrial Dharma, Agus Pambudi Djanis, Ratnawati Lilasari Djasmasari, Wittri Eko Supriadi Eko Susilo EKO YULIANTO Emilia Roza Endang Sri Lestari Enriyani, Riri Eviriawan, Eviriawan Fahmi, Hasanul Farhan Alif Friyatmi Friyatmi Galih, Yunita Gunadi, Reza Hardwin Welly Tulili Panandu Hartono, Bryan Arista Hayatuddin, Khalisah Hendra Jayanto Herlianti, Elva Hikma Hikma, Hikma Hilda, Atiqah Meuti HILMAN TADJOEDIN, HILMAN Hokki Putra Handika Ibadurrohman, Fadhil Muhammad Ivan Michael Siregar Ivan Michael Siregar, Ivan Michael Kahri, Ma'ruful Kasim, Nurdian Kun Fayakun Leandro Okhotan3, Simplisius Lisandi, Anisa Lita Yusnita Liyanovitasari, Liyanovitasari Mahfuz, Abdul Latif Makmun, Akhmad Haqiqi Masrukhan, M. Masrukhan Miftahuddin Miftahuddin Min An, Chong Mohamad Zaenal Arifin Anis Muharramah, Alfi Zahrah Mukhtar, Ahmad Amirrudin Nadya Rizki, Ailsya Nanda, Yovalentino Aprilian Wijaya Natia, Natia Nugraha, Dida Septiya Nunik Afriliana Nunik Pratiwi Nur Hadisukmana Nurdiani Nurdiani, Nurdiani Nurdiansyah Nurdiansyah Nurrahmi, Rara Paridjo Paridjo, Paridjo Paryono Pinardi, Sofia Ponoharjo, Ponoharjo Pramesty, Meta Pratiwi, Nunik Prawitasari, Melisa PUJI LESTARI Puji Rahayu Puspitasari, Lutfiana Puspitasari, Riska Putri, Dwi Kemala Putri, Imalia Dwi R. B. Wahyu R.B. Wahyu Rachmy, Silvia Raden Bagus Wahyu Rahardjo, Rafi Diandra Dani Rahayu, Leni Sri Rahmad, Dedy Rahman, Edriza Rahmatia, Lintannisa Rahmi Imanda Ramza, Harry Regina Valeria Rifaldi Rifaldi, Rifaldi Rila Mandala Rila Mandala Rini Andriani Rochgiyanti Rossianiz, Arien Biangningrum Rusdianto Roestam Rusdianto Roestam Sahuri, Genta Sahuri Sajiah, Adha Mashur Setyaningsih, Maryanti Simplisius Leandro Okhotan3 Sinduningrum, Estu Sri Agustina, Sri Sri Wahyuni Srimulati, Triwik Styani, Erna Suhartini Suhartini Sukiman, Maman Surahman, Bambang Suratman Suratman Suryana, Kresna Dharma Susi Evanita Syahir, Muhammad Tambunan, Jenny Anna Margaretha Tika, Nuri Hidayah Tjong Wan Sen Ulia, Hasnah Ummu Kalsum Utami, Andita Wahyu Hidayat Wahyu, R. B. Wahyu, Raden Bagus Welly Tulili Panandu, Hardwin Widarta, Oskar Ady Widodo, Muhammad Adnan Wijaya, Ardi Windia Hadi, Windia Wiranto Herry Utomo Wulandari, Triyana Wulansari Yatima, Khusnul Yusnita, Lita Yusuf, Syahrul Bassam Yuyu Wahyu