Article Per Year (5 Year)
p-Index From 2021 - 2026
6.769
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Informasi dan Ilmu Komputer POSITIF Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTAM (Jurnal Teori dan Aplikasi Matematika) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) METIK JURNAL Vocatech : Vocational Education and Technology Journal JOURNAL OF INFORMATICS AND COMPUTER SCIENCE JINAV: Journal of Information and Visualization Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Tika JURNAL ILMIAH GLOBAL EDUCATION Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Minfo Polgan (JMP) TECHSI - Jurnal Teknik Informatika Jurnal Teknologi Terapan and Sains 4.0 Jurnal Bangun Abdimas Variasi : Majalah Ilmiah Universitas Almuslim MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Journal of Advanced Computer Knowledge and Algorithms Journal Serambi Engineering (JSE) Jurnal Elektro dan Teknologi Informasi Bulletin of Engineering Science, Technology and Industry Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Zara Yunizar
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 54 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Bulletin of Engineering Science, Technology and Industry

 1 
IMPLEMENTATION OF THE EDAS (DISTANCE FROM AVERAGE SOLUTION) ALGORITHM FOR CLASSIFICATION OF MID-RANGE SMARTPHONE RECOMMENDATIONS Irshad Ahmad Reshi; Dr M Rajeswari; Ramadhana Juseva; Wahyu Fuadi; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.5

Abstract

This research aims to help people choose the best smartphones at affordable prices in the range of 2-5 million using the EDAS (DISTANCE FROM AVERAGE SOLUTION) method. Visual language modeling such as UML is used to input smartphone lists and judgments from experts or smartphone brand sales regarding features such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera size, and others. The EDAS calculation process was carried out with 34 smartphone data samples from various brands such as VIVO, OPPO, Realme, Xiaomi, Samsung and Infinix which were taken from the GSM Arena API as the main source of data. To achieve this goal, visual language modeling is first carried out using UML (Unified Modeling Language) such as Class Diagrams, Use Case diagrams, and Activity diagrams. The concept of this application is to input a list of smartphones that interest the user and assess the specifications of the smartphone using the assessment of experts or parties experienced in selling and evaluating smartphones, such as assessments from sales of a smartphone brand. Weighting is also carried out by evaluating each specification such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera megapixel size, telephoto, depth sensor, macro camera, monochrome camera, screen, screen type, processor, and processor type. Weighting is done on a scale from 0 to 10. Weighting from 0-10 is done to assess each specification. The results of the EDAS implementation are the 5 most recommended smartphones and the 5 least recommended smartphones. namely for the 5 most recommended smartphones Redmi 8 with a score of 1.2431, Infinix S5 Lite with a score of 1.2143, Infinix S5 with a score of 1.2143, Tecno i7 with a score of 1.1344 and Oppo F3 Plus with a score of 1.0397. also the least recommended smartphones are Infinix Zero 5 with a score of -2.0970, Redmi Note 7 Pro with a score of 0.2334, Vivo Z1 Pro with a score of 0.2628, LG W30 Pro with a score of 0.2922, Xiaomi Mi A3 with a score of 0.3120.
IMPLEMENTATION OF LONG SHORT TERM MEMORY (LSTM) ALGORITHM FOR PREDICTING STOCK PRICE MOVEMENTS OF LQ45 INDEX (CASE STUDY: BBCA 2017 – 2023 STOCK PRICE) Cindy Rahayu; Dahlan Abdullah; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.6

Abstract

This research aims to implement the Long Short Term Memory (LSTM) algorithm in predicting the movement of LQ45 stock prices. In this study, historical data of BBCA stock prices were used as an example of LSTM method implementation. The development process of the stock price prediction application begins with the collection of historical data, which then undergoes a preprocessing stage for normalization. The data is divided into training and testing sets, and transformed into suitable sequences for LSTM model input. The LSTM model is trained using the backpropagation through time algorithm and tested using the testing data. The predicted results from the LSTM model are compared with the actual labels using RMSE and MAPE metrics. Once satisfactory predictions are obtained, they are stored in a database and presented to users in the form of graphs and comparison tables. The implementation of LSTM in this research demonstrates prediction accuracy with an error percentage below 6%, with MAPE of 5.4772% and RMSE of 6.658%. Furthermore, the implementation of LSTM in the developed application using the latest historical data also yields low error percentages, with MAPE ranging from 3.7763% to 5.8048% for various stock price features. In conclusion, the LSTM method can be used for predicting stock price movements with satisfactory accuracy, providing valuable information for investment decision-making.
Co-Authors ,, Iqbal ,, Maulidasari ,, Zulaifani ., Yulisma Agil, Helvina Aidilof, Hafizh Al Kautsar Aidilof, Hafizh Al-Kautsar Aisah, Sri Purwani Amelia, Ulva Aminsyah, Ansharulhaq Arief Fazillah Arif H., Nanda Nan Arnawan Hasibuan Asran Asran Bariah, Hairul Bustami Bustami Cindy Rahayu Dahlan Abdullah Devi, Salma Dhyra Gibran Alinda Dr M Rajeswari Elma Fitria Ananda ERNAWITA ERNAWITA Ersa, Nanda Savira Eva Darnila Ezra Sasqia Syahna Fadlisyah Fadlisyah Fajri, Riyadhul Fajri, Ryadhul Fajriana, Fajriana Fardiansyah, T. Fasdarsyah Fasdarsyah Fatimah Zuhra Fatimah Zuhra Fatimah Zuhra Fuadi, Wahyu Gilang Wahyu Ramadhan Gilang Hafidh Rafif, Teuku Muhammad Harahap, Ilham Taruna Hasan, Phadlin HENDRA ZULKIFLI Irshad Ahmad Reshi Johan, T. M. Kartika Kartika Kurnia Amanda, Destiara Lidya Rosnita M Ishlah Buana Angkasa M. Fauzan M.Cs, Iqbal, Maghfirah Maghfirah Maha, Dedi Torang P Mahara, Sabda Mahendra Febriliansyah Maizuar Maizuar Maryana Maryana, Maryana Maulana Helmi, Fathan Maulana, O.K.Muhammad Majid Melizar Meutia Rahmi Misbahul Jannah Muhammad Daud Muhammad Fikry Muhammad Ikhwani Muhammad Muhammad Muharni Muharni Mukhlis Mukhlis Mukhlis Mulaesyi, Syibbran Munar, Munar Munirul Ula Mursyidah Mursyidah MUTHMAINNAH Muthmainnah Muthmainnah Nazwa Aulia NinaUlfauza NinaUlfauza Nunsina, Nunsina Nur Mauliza Nura Usrina Nurdin Nurdin Nuryawan, Nuryawan OK Muhammad Majid Maulana Majid Putri, Riska Yolanda Ramadhana Juseva Ridha, Ridha Rifkial Iqwal Rini Meiyanti Ritonga, Huan Margana Rizal S.Si., M.IT, Rizal Rizal Tjut Adek Rizki Suwanda Rizky Almunadiansyah Rizky Putra Fhonna Rizky, Rahmat Rizkya, Dini Dara Rozzi Kesuma Dinata Rusnani Rusnani Rusniati Rusniati Ruwaida Ruwaida Safwandi Safwandi Said Fadlan Anshari Savira Ersa, Nanda Siregar, Winda Ramadhani Sriana, Anis Subhan Hartanto Suci Fitriani, Suci Sujacka Retno Syintia, Icut Tarigan, Tasya Amelia Taufiq Taufiq Tejas Shinde Tjut Adek, Rizal Wahyu Fuadi Yanti, Winda Yesy Afrillia Zahratul Fitri Zalfie Ardian Zulsuhendra, Edi