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All Journal TEKNIK INFORMATIKA JSI: Jurnal Sistem Informasi (E-Journal) CESS (Journal of Computer Engineering, System and Science) IQRA': Jurnal Perpustakaan dan Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang Jurnal Sisfokom (Sistem Informasi dan Komputer) JurTI (JURNAL TEKNOLOGI INFORMASI) JISTech (Journal of Islamic Science and Technology) Jurnal Penelitian Medan Agama Jurnal Teknologi Sistem Informasi dan Aplikasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) The IJICS (International Journal of Informatics and Computer Science) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH Infoman's AL-ULUM: JURNAL SAINS DAN TEKNOLOGI EDUMATIC: Jurnal Pendidikan Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer IJAIT (International Journal of Applied Information Technology) JUKANTI (Jurnal Pendidikan Teknologi Informasi) Akademika Jurnal Teknologi Pendidikan Jurnal Teknologi Dan Sistem Informasi Bisnis Competitive JTIK (Jurnal Teknik Informatika Kaputama) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Abdi Mas Adzkia Da'watuna: Journal of Communication and Islamic Broadcasting JUTECH : Journal Education and Technology Jurnal IPTEK Bagi Masyarakat Jurnal Janitra Informatika dan Sistem Informasi Jurnal Impresi Indonesia sudo Jurnal Teknik Informatika Journal of Information Systems and Technology Research Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Computers and Digital Business Jurnal Indonesia : Manajemen Informatika dan Komunikasi The Indonesian Journal of Computer Science
Samsudin, Samsudin
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Augmented Reality of Rasulullah SAW Traces in Receiving the Revelation of The Qur'an Samsudin Samsudin; Ilka Zufria; Triase Triase
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3698

Abstract

Al-Qur'an is the holy book of Muslims whose information is eternal and has miracles that can always be proven by the progress of science and technology that is fast and powerful. The Qur'anic revelation revealed to the Prophet Muhammad for about 23 years left a long, special footprint in the cities of Mecca and Medina. In this Centennial era, some Muslims were preoccupied with technological advances which sometimes led to the neglect of the Qur'an. So that the crisis of knowledge of generations of Muslims about the footsteps of the Prophet Muhammad in receiving the revelation of the Qur'an is very little, This is very dangerous for the unity of Muslims. So that with technological advances we also attract the interest of young people to learn the Qur'an. Augmented Reality technology with the Marker-based tracking method utilizes Qr Code and the use of agile development methods and design using UML so that application developers can produce Augmented Reality applications that can show traces of the decline of the Qur'an in Mecca and Medina. The appearance of Mecca and Medina in the form of 3 dimensions along with asbabunnuzul information causes interest and ease for someone to study the verses of the Qur'an. It is hoped that this application helps to facilitate the generation of Islam in learning and understanding ayat of the Qur'an.
Algoritma K-Nearest Neighbors dan Synthetic Minority Oversampling Technique dalam Prediksi Pemesanan Tiket Pesawat Wulan Suci; Samsudin Samsudin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4374

Abstract

This study applies the Synthetic Minority Oversampling Technique to improve the performance of the K-Nearest Neighbors method in predicting the unbalanced data class. Most classification algorithms implicitly assume that the processed data has a balanced distribution, so that the standard classifier is more inclined towards data with a dominant class number (majority class). The use of Synthetic Minority Oversampling Technique can improve the performance of the K-Nearest Neighbors method for flight ticket booking data. Although in terms of accuracy, Synthetic Minority Oversampling Technique with K-Nearest Neighbors is lower at 79.65% compared to K-Nearest Neighbors without using Synthetic Minority Oversampling Technique, which is 97.81%, the suggested technique did not improve but from other performance, The proposed method can outperform K-Nearest Neighbors by using Synthetic Minority Oversampling Technique in terms of precision, recall, and F1-Score when applied to the Airline Ticket Booking dataset. Precision increased 18.00% from 62.00% to 80.00%, recall increased 28.00% from 52.00% to 80.00%, and F1-Score increased 27.00% from 53.00% to 80 ,00% on the flight ticket booking dataset.
Implementation of Collaborative Filtering Algorithms in Mobile-Based Food Menu Ordering and Recommendation Systems Nurini Siregar; Samsudin Samsudin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6387

Abstract

In the business world, the application of technology is becoming common, including in the process of buying or ordering food products which can now be done through a mobile application. Makecents Coffee is a startup in the city of Medan that provides solutions for ordering food and drinks at Android-based restaurants using the QR Code ordering system. To make it easier for buyers to place orders, an automatic recommendation system is needed. One method that can be used to develop an ordering application with a recommendation system is a collaborative filtering algorithm. In this study, a collaborative filtering algorithm was used to work by storing and processing data provided by buyers, such as ratings or comments on the food menu ordered. Using buyer data provides results for users in placing orders because they use an application that has them, as well as making it easier to choose a menu to order because of a recommendation system. The level of accuracy of the prediction of the collaborative filtering algorithm itself has been tested using the MAE and RMSE tests. Where the MAE test obtained a value of 0.67 points, while the RMSE test obtained a value of 0.58 points. The two test results were fairly good when compared to the range of points which only ranged from 1 to 5 points. The results of the recommendations can be implemented in applications designed to increase sales and make it easier to place orders that have been recommended to users.
Sistem Pakar Diagnosa Kerusakan Pada Mesin ATM Menggunakan Metode Naive Bayes Mutia Dwi Pratika; Samsudin Samsudin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6468

Abstract

Detection of damage contained in ATM Machines carried out by employees still has drawback, especially if there are new employees who are still confused about finding damage to the ATM machine. This study aims to build an expert system for diagnosing damage found in ATM machines at PT Advantage SCM Medan which is equipped with solutions for indicated damage. This system was built using the Naive Bayes method where this method will be able to solve this problem, this is because it is able to predict opportunities in the past and this method only requires small training data to determine the estimated parameters it need in the classification process. The design of an expert system for diagnosing damage contained in this ATM machine has 29 symptoms and 6 damages. This expert system is designed using the MySQL database and the PHP programming language. The results of this study are in the form of an accuracy of 90% which is calculated from the comparison obtained between manual data and data in the system.
Prediksi Harga Cryptocurrency Binance Berdasarkan Informasi Blokchain dengan Menggunakan Algoritma Random Forest Jumjumi Asbullah; Samsudin Samsudin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7100

Abstract

This study proposes the use of the Random Forest algorithm to forecast the cryptocurrency Binance's daily prices. With a dataset covering 1992 observations from January 1, 2018, to June 15, 2023, the research focuses on PT. Tennet Depository Indonesia. Through Python implementation, the experimental results indicate that Random Forest is effective in providing accurate price predictions, with an average Mean Absolute Percentage Error (MAPE) of approximately 1.38% and an average Root Mean Squared Error (RMSE) of about 4.38. The uniqueness of the system lies in the algorithm's capability to handle market complexities and volatility, offering adaptive solutions to the unpredictable dynamics of the market. Nevertheless, limitations in historical data and market volatility persist as inhibiting factors, emphasizing the need for a holistic approach. The average MAPE and RMSE results provide an indication of the overall reliability of the model in facing cryptocurrency market volatility. These conclusions can contribute to the development of more robust and adaptive models to respond to the evolving market conditions.
Co-Authors Abdullah Abdullah Adinda Ayu Mega Pramesti Adnan Buyung Nasution Afridayani Afridayani Afsha Zahara Ahmad Hariandy Harahap Alchemi Putri Juliantika Kusdiana Alda Penira Ali Ikhwan Ali Ikhwan Alyan Fatwa Anggika Wardani Anggika Wardani Aninda Muliani Aninda Muliani Aryati Aryati Aulia Pratama Tambunan Bagus Setiawan Beni Frandian Dedyka Syahputra Dian El Arafiah Saragih Dian Pratiwi Dwi Nenda Putri Dwi Silviana Elfany Rizqi Syaputri Fadiah Nurhani Fahira Khalisyah Risqullah Fauzia Mahyarani Fitrah Al Mubaroq Geubrina Rizka Utami Sinaga Ilka Zufria Indah Pratiwi Retno Indri Ayu Ningrum Indriana Siagian Jumjumi Abullah Jumjumi Asbullah Lubis, Riri Syafitri M Fakhriza M. Fakhriza Maya Juliana Ritonga Merliana Putri Hasibuan Mhd. Nazar Alfian Harahap Mia Nurjannah Miftah Siregar Mohammad Badri Muhamad Alda Muhammad Dedi Irawan Muhammad Hendrik Koto Muhammad Hendrik Koto Muhammad Ichsan Ichsan Muhammad Ikhsan Muhammad Khoir Al Alim Manurung Muhammad Lutfil Amin Siregar Lutfil Muhammad Naufal Tiyar Muhammad Rafli Hakim Muhammad Rizky Dermawan Muhammad Syafri Fauzi Muthmainnah Mutiara Indriani Mutia Dwi Pratika Mutiara Sakinah Nadhilah Zahrina Nasution, Muhammad Irwan Padli Novri Karno Dwi Putra Nurhadijah Nurhadijah Nurhalizah Nurhalizah Nurhidayah Simbolon Nurini Siregar PRIA MITRA PURBA Putri Sri Rezeki Rahma Azizah Lubis Rahma Dipa Salsabil Raissa Amanda Putri Raudhatul Jannah Reni Yunita Reza Pradana Ridho Dwi Yudhanata Samsul Bahri Siagian Sandra Fitrie Septiana Dewi Andriana Septiana Dewi Andriana Sity Tree Adinda Sri Astuti Suendri Suendri Suendri, Suendri Syahranitazli Tamara Putri Tasya Azra Rizkya Umri Tasya Maulariqa Insani Taufiq Annur Harahap Teguh Kurniawan Triase Triase Triase Triase triase Triase Triase Triase Triase, Triase Ulfa Fadilah Winda Junarda Wulan Suci Yudha Sansena Yudhi Prawira Prawira Yulisa Nanda Pratiwi Zahra Azura