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All Journal E-Jurnal Medika Udayana Jurnal Ilmiah Kursor Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Jurnal Biologi Tropis RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro JMM (Jurnal Masyarakat Mandiri) NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Lectura : Jurnal Pendidikan Jurnal Pengabdian Magister Pendidikan IPA Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Local Government Issues JURNAL KESEHATAN DELIMA PELAMONIA Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Indonesian Journal of Electrical Engineering and Computer Science JIIP (Jurnal Ilmiah Ilmu Pendidikan) Science Midwifery Jifosi Heart Science Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara MESA (Teknik Mesin, Teknik Elektro, Teknik Sipil, Teknik Arsitektur) Jurnal Teknik Informatika (JUTIF) Jurnal Aksioma Al-Musaqoh Jurnal Kesehatan Tambusai Jurnal Ilmiah Wahana Pendidikan ELIPS: Jurnal Pendidikan Matematika Caring : Jurnal Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Al Khidma: Jurnal Pengabdian Masyarakat INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Prosiding Konferensi Nasional PKM-CSR Jurnal Kesehatan Delima Pelamonia Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya JUSIFOR : Jurnal Sistem Informasi dan Informatika Cerdika: Jurnal Ilmiah Indonesia eProceedings of Engineering Indonesian Journal of Innovation Multidisipliner Research Kohesi: Jurnal Sains dan Teknologi Jurnal INFOTEL Journal of Technology and System Information Jurnal Implementasi Pengabdian Masyarakat Kesehatan Indonesian Journal of Innovation Multidisipliner Research
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Journal : JOIV : International Journal on Informatics Visualization

Prediction of ROI Achievements and Potential Maximum Profit on Spot Bitcoin Rupiah Trading Using K-means Clustering and Patterned Dataset Model Parlika, Rizky; Isnanto, R. Rizal; Rahmat, Basuki
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.3120

Abstract

Since Satoshi Nakamoto first proposed the idea of bitcoin in 2009, the cryptocurrency and prediction methods for it have grown and changed exceptionally quickly. The Patterned Dataset Model was a valuable tool in earlier studies to explain how changes in the price of Bitcoin affect the movements of other cryptocurrencies in a digital trading market. Three different kinds of datasets are generated by this model: patterned datasets under full conditions, patterned datasets under dropping prices (Crash), and patterned datasets under rising prices (Moon). The K-means approach was then used to cluster these three datasets. Specifically, each dataset was split into two clusters, and the clustering score was determined by utilizing eight unique clustering metrics. Consequently, the best clustering score was found in the patterned dataset in the crash situation. Additionally, from 2022 to 2024, the raw data from this crash-condition-patterned dataset is used to determine the possibility of reaching maximum profit and return on investment (ROI) daily and monthly. According to the calculation results, the range computed over the course of a whole month (30 to 31 days) is significantly larger than the daily range (24 hours multiplied by one month), which represents the most significant profit and ROI attained before the emergence of the first diamond crash level. This research also covers the application of a deep learning model to forecast patterned datasets for crash scenarios that may occur many days in advance. The ConvLSTM2D Model performs better in predicting pattern dataset values for the subsequent crash scenario, according to the hyperparameter comparison between the Gated Recurrent Unit (GRU) Model and the 2D Convolutional Long Short-Term Memory Model.
Minimum, Maximum, and Average Implementation of Patterned Datasets in Mapping Cryptocurrency Fluctuation Patterns Parlika, Rizky; Mustafid, Mustafid; Rahmat, Basuki
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1543

Abstract

Cryptocurrency price fluctuations are increasingly interesting and are of concern to researchers around the world. Many ways have been proposed to predict the next price, whether it will go up or down. This research shows how to create a patterned dataset from an API connection shared by Indonesia's leading digital currency market, Indodax. From the data on the movement of all cryptocurrencies, the lowest price variable is taken for 24 hours, the latest price, the highest price for 24 hours, and the time of price movement, which is then programmed into a pattern dataset. This patterned dataset is then mined and stored continuously on the MySQL Server DBMS on the hosting service. The patterned dataset is then separated per month, and the data per day is calculated. The minimum, maximum, and average functions are then applied to form a graph that displays paired lines of the movement of the patterned dataset in Crash and Moon conditions. From the observations, the Patterned Graphical Pair dataset using the Average function provides the best potential for predicting future cryptocurrency price fluctuations with the Bitcoin case study. The novelty of this research is the development of patterned datasets for predicting cryptocurrency fluctuations based on the influence of bitcoin price movements on all currencies in the cryptocurrency trading market. This research also proved the truth of hypotheses a and b related to the start and end of fluctuations.
Co-Authors Abdurrahman, Nizar Abdurraman, Abdurraman Achmad Ali Muayyadi Achmad Junaidi Achmad Junaidi, Achmad Adi Laksono, Surya Adidaifa, Muhammad Fikri Adila, Ma’ratul Afandi, Azhar Agung Satrio Nugroho Agus Khumaidi Agus Supriyanto Agussalim, Agussalim Ahmad Sugiana ajibekti, ari Akbar, Iqbal Imani Khoirul Akbar, Nugraha Malik Akbar, Refansya Rachmad Aminuyati Anak Agung Ayu Niti Wedayani Andreas Nugroho Sihananto Angga Rusdinar Anwar, Mochamad Saiful Aprilia, Salma Ardi Pramono Arifin, Moehammad Riyadh Arifuddin, Asyima Aristya Nur, Dey Salwa Arrosyid, Muhammad Habib Arsatt, Maz Isa Ansyori Arum Prabowo, Galih Asmara, Hadhimulya Aspar, Hukmiyah Atsani, Nadhifah Azizah, Ratih Nuur Azmi, Naurah Arika Bagus Kantwa Abhimantra, Gede Basuki Rahmat Budi Nugroho Chandrasa Soekardi Desri Kristina Silalahi Dewi, NI Putu Wahyu Eastiya Dian Puspita Sari Dianita Wardani Diyasa, I Gede Susrama Mas Dyah Purwaningrum Elvira Sari Dewi Erdian, Mochamad Aldyn Erixno, Oon Erlangga, Heri Erwin Susanto Eva Yulia Puspaningrum Fachrezi, Ahriyad Fahanani, Agwin Fahmi Farahdiba, Idha Fariztia, Alifia Intan Fathoni, Jazimah Nur Fauzan Novriandy, Muhammad Febriano, Luis Figo Fetty Tri Anggraeny Geofany, Shania Ardelia Hardiant, Excell Defry Hargianti Dini Iswandari Harliza, Baiq Fanindya Harsono Harsono Hartanto, Beni Haryanto, Wawan Hasan Hasan Hasanah, Hesti Dwi Puteri Henni Endah Wahanani Herawati, Yoshi Inne Hilman, Acep Humam, Anang Muh. Nufal I Gede Putu Oka Indra Wijaya Ida Ayu Eka Widiastuti Idhana, Ilham Ainur idhom, Mohammad Indah Sulistyowati, Indah Indrayana, Yanna Indriyanti, Anggi Iqlima, Aisya Yafis Irsyad, Ananda Muhammad IRSYADI, FAKIH Irwan, Hadrian Irwan, Hadriani Islamy, Habiel Jales Saputra, Dewangga Jangkung Raharjo Karmila Karmila karmila karmila Kartini Kartini Kharisma Bani Adam Khilda Afifah Kristianingrum, Niko Dima Kumboyono Kumboyono Kusminah, Imah Luluk linda mayasari, linda Lizard Sambawo Dimara, Denis Lukman, Dian Azizah M Darfyma Putra Makbul Muksar Matalangi, Matalangi Maulana Herza, Fakhri Maulana, Asrul Maulana, Hendra Maulana, Muhammad Rafi Moh. Sidik Priadana Mohamad Ramdhani Mohede, Nadif Rayhan Julio Mudzakir, Mohammad Alfian Muhammad Muharrom Al Haromainy Muhammad Ridho Rosa Muhammad Risal, Muhammad Muhammad Zakiyullah Romdlony Mulyono Mulyono Munawwarah. M, St. Mustafid Mustafid Muyasaroh Nadhifah, Umi Ngkolu, Nurmulia Wunaini Nisrina, Safira Fegi Nur Firmansyah, Taufik Nurchalifah, Jessenia Eldora Nurlaili, Afina Lina Nursyahada, Kesya Pangestu, Arif Fajar Paradiesta, Andi Frieskha Naurah Pintaningrum, Yusra Putra, AASM Meiswaryasti Putra, Handie Pramana R. Rizal Isnanto Rah Adi Fahmi Ginanjar Rahman, Moch. Aulia Ramadhan, Dimasfika Rizqi Ramadhani, Farah Rasjid, Azka Avicenna Ratantja Kusumajati, Fatwa Rendy Munadi Rifki Rahman Nur Ikhsan Rijali, Muhammad Rinayati Rinayati Rizal Fahmi Rizky Parlika, Rizky Romi Ermawan, Romi S Sudirman, S Sajiwo, Achmad Fauzihan Bagus Salsabila, Baiq Ghefira Rojwani Putri Salsabila, Tsania Zulfa Salsabilah, Andini Fitriyah Salsabilah, Maida Sania Samad, Mohammad Ardani Samsul Hadi Sardjasasmita, Agi Sari, Cempaka Kumala Sari, Putu Suwita Sari Sari, Wahyuni Kartika Savitri, Puti Amelia Setyaningsih, Diva Ayu Simangunsong, Abednego Sinaga, Keysha Angelica Soedjarwo, Soedjarwo Sri Sugiarti R, Eva Sri Wahyuning Sugeng Santoso Sugiyarto Sugiyarto Sulthan Ahmad Suryani, Elsa Indah Susrama Mas Diyasa, I Gede Swastirani, Astika Syadilla, Iryne Putri Syarif, Darmiati Syihabuddin, Muhammad Tamba, Irpan Antonius T Taufiq, Riyadh Tsuru, Masato Ubai Dillah Umi Narimawati Untari, Lania Pradiva Viet Ha, Nguyen Wahyu Sulistya Affarah, Wahyu Sulistya Wahyuningsih, Pujianti Wardoyo, E. Hagni Widi Saputro, Tegar Wilson Silitonga, David Wulandari, Ikrawanty Ayu Yoga Pamungkas Susani Yustika, Lindiasari Martha