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All Journal Teika Jurnal Sarjana Teknik Informatika Scan : Jurnal Teknologi Informasi dan Komunikasi Teknika: Jurnal Sains dan Teknologi Jurnal IPTEK Jurnal Sistem Informasi dan Bisnis Cerdas JOIV : International Journal on Informatics Visualization Jurnal Pendidikan Informatika dan Sains INTEGER: Journal of Information Technology JURNAL ILMIAH INFORMATIKA Jurnal Informatika Universitas Pamulang Jurnal Sisfokom (Sistem Informasi dan Komputer) RESEARCH : Computer, Information System & Technology Management Jiko (Jurnal Informatika dan komputer) Jurnal Ilmiah Sinus Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar JUTIS : Jurnal Teknik Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jifosi e-NARODROID Nusantara Science and Technology Proceedings Nusantara Journal of Computers and its Applications Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Parlika, Rizky
Department Of Informatics System, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Surabaya, East Java
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Pengukuran Validitas Website “mengundangkamu.online” Menggunakan SPSS dengan Kombinasi Metode R-Table dan Coehn’s Cappa Parlika, Rizky; Shahab, Muhammad Syaugi; Nurilhaq, Muhammad Sabilli; Firmansyah, Fahrul; Prayoga, Julio Cahya
JURNAL TEKNIK INFORMATIKA UNIS Vol. 10 No. 1 (2022): Jutis (Jurnal Teknik Informatika)
Publisher : Universitas Islam Syekh Yusuf

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/jutis.v10i1.2624

Abstract

In this study, the validity test was carried out on the website "inviting you.online" by calculating the validity value of the respondents' answers to the questionnaire to determine the level of operational feasibility of the website. Meanwhile, the questions from the questionnaire are the attributes contained on the website with a sample of 30 students and college students in the East Java region randomly and when the research was conducted in July 2022. From the results of processing the questionnaire data using SPSS by applying the method R-Table and the combination of Coehn's Cappa, then the R-Table method obtained the percentage of validity of 100% and invalidity of 0%. Then, with the combination of the Coehn's Cappa method, a value of 0.737 was obtained with a significant value of 0.016, which is where the level of strength of the appraiser's agreement on the website is moderate.
Perancangan Sistem Informasi Jual Beli Ikan Cupang Berbasis Website Auliya, Rahmat; Prabowo, Avrie Akbar; Parlika, Rizky; Shodiq, Ja'far; Waskito, Muhammad Rizal
Jurnal Sarjana Teknik Informatika Vol. 9 No. 3 (2021): Oktober
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v9i3.19553

Abstract

Dalam masa sekarang ini, kita dituntut untuk mengikuti arus perkembangan teknologi yang berkembang sangat cepat. Hal ini berlaku juga dalam perdaga-ngan. Maraknya Perdangan ikan cupang yang terus meluas mengharuskan penjualannya tidak hanya sekadar melalu offline tetapi juga secara online. Pembuatan Website ini sendiri memanfaatkan bahasa pemrograman PHP yang dibuat menggunakan aplikasi editor Visual Studio Code dalam pengem-bangannya yang nantinya akan digunakan untuk wadah dari keseluruhan data untuk penunjang berjalannya penjualan ikan cupang. Mulai dari pemesanan hingga total pemesanan akan diimplementasikan ke dalam sebuah Website.
Pemanfaatan Canva Untuk Kebutuhan Desain Grafis dan Video Promosi Edotel TeBe Syariah Andreas Nugroho Sihananto; Kartini Kartini; Rizky Parlika
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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

Abstract

Marketing activities are at the core of every business, even in hospitality business. The hotels today is being challenged in marketing, especially digital marketing, and one of them is Edotel TeBe Syariah which is owned by SMK Tunas Bangsa on Malang City. The challenge faced by Edotel is the lack of human resources who master visual content creation and video creation for digital marketing purposes. Although it has confirmed business cooperation with OYO as SPOT ON 90349 for its marketing channel, the management also wants to strengthen its digital marketing side through social media. Because of the Covid-19 pandemic, the hotel occupancy rate is uncertain, sometimes only a few rooms are filled. The management also wants to increase the capacity of their human resources. our community service team and management plan marketing teaching strategies using Canva-based visual and video content. After using the Canva application for a while, all permanent employees of Edotel TeBe Syariah are now able to use Canva to create visual and video content for marketing needs. We hope that digital marketing activities through social media such as Facebook and Instagram owned by Edotel TeBe Syariah can be further improved
Pengembangan Website untuk Menampilkan Harga Koin Kripto dengan Antarmuka Pemrograman Aplikasi Rizky Parlika; Achmad Yuneda Alfajr; Alif Ernanda Putra; Ahmad Dendy Prasongko Putra
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 3 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i3.4285

Abstract

Cryptocurrency is one of the investment instruments and trading assets chosen by old and new traders today. Lots of people claim that the information from the platforms they use is just numbers or trivial information. However, many ordinary people who really need it are still confused about this information. In this study, an application programming interface was developed to help new traders using the instrument easier.
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.
Mapping Bitcoin Research in Information Systems: A Comprehensive Bibliometric Analysis (2008–2025) Munazilin, Akhlis; Agung Wibowo, Mochamad; Parlika, Rizky
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2538

Abstract

Bitcoin has been a major focus of interdisciplinary research in information systems, finance, and economics since its emergence in 2008. Despite the extensive literature on Bitcoin, patterns of intellectual collaboration, the evolution of research themes, and research gaps have not been comprehensively mapped. This study presents a bibliometric analysis of 3,312 scientific articles indexed by Scopus from 2008 to May 2025, using a quantitative approach based on Bibliometrix. The analysis includes publication trends, author and institutional collaboration networks, co-citation mapping, and thematic clusters based on keywords. The results reveal five dominant themes: (1) blockchain development beyond crypto, (2) regulatory challenges and global adoption, (3) Bitcoin price volatility, (4) impacts on the global financial system, and (5) social implications in developing countries. The study also identifies an epistemological fragmentation between technical and policy approaches. These findings reinforce the need for an integrated multimodal approach that combines market data, sentiment analysis, and regulatory context to develop more robust predictive models. This study is the first comprehensive bibliometric review of Bitcoin in global scope that explicitly links findings to information systems research opportunities.
Patterned Dataset Model Optimization to Predict Bitcoin IDR Price using Long Short Term Memory Parlika, Rizky; Isnanto, R Rizal; Rahmat, Basuki
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.4036

Abstract

The goal of this study was to determine the optimal combination for optimizing the Patterned Dataset Model, particularly in patterned datasets during periods of price decline (crash).  In previous research, the Crash Patterned Dataset has been shown to predict the next Bitcoin price. In this study, an experiment was conducted using a combination of prediction models, including ARIMA, machine learning, and deep learning. This research was conducted in 3 stages. The first stage is to compare the error results from the Bitcoin pair IDR crypto asset prediction process, which are part of the stored data from the patterned dataset under crash conditions. This dataset was tested with several prediction models, and the LSTM model with 60 seconds of resampling produced the best results, with an MAPE of 0.19%. In the second stage, BTCIDR, as part of the data from the patterned dataset in crash conditions, was resampled with variants 1D, 2D, 3D, 4D, 5D, 6D, 7D, 1H, 2H, 3H, 4H, 5H, 6H, 7H, 8H, 9H, 10H, 11H, and 12H. The result is that BTCIDR with a 3H resample has the lowest MAPE, at 1.3%. In the third stage, the prediction process is carried out using the LSTM model on the BTC IDR test dataset (as part of the Patterned Dataset in crash conditions) with a 3H resample. The dataset range is from May 2022 to 2025-01-23 11:05:48. This test predicts the Bitcoin IDR price series for the next 30 days, calculates the MAPE between the predicted series and the actual BTC IDR dataset 30 days later, and evaluates the results. The MAPE value for the Bitcoin IDR price prediction was 9.27%. This indicates that the average prediction error against the actual price is around 9.27%. The main objective of this research is to more accurately predict the price of the Bitcoin-IDR pair, providing additional helpful information for trading cryptocurrencies.
Implementasi Teknologi Data Mining dan Notifikasi Bot untuk Mendukung Keputusan Trading Cryptocurrency Parlika, Rizky; Hermawan, Riky; Ardika, Rendra; Nur Cahyo, Arif; Wifaqul Azmi, Muhammad; Munir, Misbahul
TeIKa Vol 15 No 2 (2025): Jurnal
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/n7afej11

Abstract

Cryptocurrency trading has an extremely high level of price volatility, which creates the need for traders to have a decision support system capable of providing market analysis quickly and adaptively. Therefore, the automated system developed in this study integrates data mining technology and a Telegram bot to strengthen traders in making buy–sell decisions for crypto assets. This system uses the public API of Indodax to obtain real-time price data and analyzes it using the RSI indicator dynamically, rather than relying on static indicator data. The analysis results are then connected to a Telegram bot, enabling it to send automatic notifications when overbought or oversold conditions occur. In addition, these automated results are also utilized in a system that has already integrated previous RSI analysis. Through the “before, now, and after” perspective, the system is able to provide updated prices, the latest interactive charts, and reminders via the bot, making it easier for users to monitor the market and respond to opportunities. This approach offers an integrated solution for trading decision-making based on technical analysis and real-time communication, as it increases the speed of decision-making and demonstrates flexibility in analyzing various coin pairs and time frames.
MENYUSURI EVOLUSI CENTOS: STABIL, ANDAL, DAN TERUS BERKEMBANG Tofan, Yoga Ari; Parlika, Rizky; Azaidane, Dandi; Arzaki, Muhammad Ilham; Prasurya, Bima Rizqy; Wiratama, Fadhli Shidqi; Tauhid, Hidayat Nur
JIFOSI Vol. 6 No. 3 (2025): Inovasi Teknologi Informatika untuk Media Pembelajaran, Pengolahan Visual, dan
Publisher : UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v6i3.558

Abstract

CentOS merupakan distribusi Linux berbasis RHEL yang dikenal karena kestabilan dan keamanannya di lingkungan server. Penelitian ini menggunakan metode studi literatur untuk menganalisis perkembangan, kelebihan, kekurangan, serta potensi pengembangan CentOS. Hasil kajian menunjukkan bahwa CentOS unggul dalam kestabilan sistem, efisiensi sumber daya, dan keamanan kernel, meskipun kurang fleksibel untuk integrasi cloud dan memerlukan konfigurasi manual. Dibandingkan Ubuntu, CentOS lebih stabil dan cocok untuk server enterprise, sedangkan Ubuntu unggul dalam kemudahan penggunaan. Potensi pengembangan CentOS mencakup penerapan pada e-Government, pendidikan, cloud computing, dan sistem monitoring otomatis, menjadikannya fondasi penting dalam transformasi digital modern.
Co-Authors Abrori, Merdin Risalul Achmad Heidhar Mubarok, Achmad Heidhar Achmad Yuneda Alfajr Agung Wibowo, Mochamad Ahmad Dendy Prasongko Putra Ahmad Maghfur’ Ali Akbar, Fawwaz Ali Akhlis Munazilin, Akhlis al hakim, Rais Alfajr, Achmad Yuneda Alif Ernanda Putra Alwin, Muhammad Izdihar Amir Muhammad Hakim Andreas Nugroho Sihananto Andry S, Firdaus Anggoro Cahyo Nugroho Anggreini, Diana Nur Anita Nusari Ardiana Deka Maharani Ardika, Rendra Ardisty Palvelus Jumala Arianto, Chakra Satrya Pradana Putra Aris Pratama Arista Pratama Arzaki, Muhammad Ilham Asif Faroqi Atmaja, Pratama Wirya Aulia N, Rayhan Auliya, Rahmat Avrie Akbar Prabowo Ayu Ithriah, Syurfah Azaidane, Dandi Basuki Rahmat Masdi Siduppa Benny Danendra Hadi Bregsi Atingsari Julastri Chakra Satrya Pradana Putra Arianto Devan Cakra Mudra Wijaya Devi Anugrah Putri Dewi Azizah Dhany Satya Hutama Didik U Pribadi, Didik U Didik Utomo Pribadi Dimas Rizward Hikmah Utomo Emmil Yulianto Erayanti, Aninda Elsa faradilla, yolla Faris Hirmar Pralas Fatwa Zuhri Diva Perdana Fedianto, Muhammad Helmi Satria Fernanda, Rifky Akhmad Fernanda, Rifky Akhmad Firmansyah, Fahrul Hadiansyah Rachmawan Putra Haidar Ananta Kusuma Hakim, Arif Rahman Hanafi, Agus Heldian Lintang P Heri Khariono Heri Khariono Hermawan, Riky Hidayat, Mochammad Fikri Hilman Fadlilah Lesmana Humam Maulana Tsubasanofa Ramadhan Humam Maulana Tsubasanofa Ramadhan Humania B, Nobel Ilham Krisdianta Siregar Ilham Pradika, Sunu Ilham Setia R Isfan Rachmad Ja'far Shodiq Kartini Kartini Khariono, Heri Kholilul Rachman Nur Manab Lesmana, Hilman Fadlilah Lintang P, Heldian Luthfiyatul ‘Azizah M. Syahrul Munir, M. Syahrul Melinda Shilatil Fauziyah Merdin Risalul Abrori Miftakhoneki, Sufi Misbahul Munir Mochammad Fikri Hidayat Mochammad Zayyan Ramadhan Moh. Ainur Rofik Mohammad Idhom Muhammad Agung Shobirin Muhammad Ghifari Alifian Muhammad Hakim, Amir Muhammad Helmi Satria Fedianto Muhammad Izdihar Alwin Muhammad Rafli Aulia Rojani Lutfi Muhammad Rizal Waskito Muhammad Suriansyah Munir, M Syahrul Mustafid Mustafid Nafa Nabila El Indri Nizam, M Miftahul Nobel Humania B Nur Cahyo, Arif Nur Manab, Kholilul Rachman Nurilhaq, Muhammad Sabilli Olivia i Anggun Permatasar Orissa, Dendy Fektor Parlika, Anjaya Perdana, Fatwa Zuhri Diva Prabowo, Avrie Akbar Pralas, Faris Hirmar Prasurya, Bima Rizqy Prayoga, Julio Cahya Pribadi, Didik U Putra Dwi Wira Gardha Yuniahans Putra, Ahmad Dendy Prasongko Putra, Alif Ernanda Putra, Hadiansyah Rachmawan Qonitah Jihan Nabilah R Rizal Isnanto R. Rizal Isnanto Rachman N.M., Kholilul Rahmat Auliya Ramadhan, Ferry Dzaky Rayhan Aulia N Rayhan Rizal Mahendra Rayhan Saneval Arhinza Retno Mumpuni Reza Achmad Gallanta Rifardi Taufiq Yufananda Rifky Akhmad Fernanda Rifky Akhmad Fernanda Rivaldy Setiawan, Rivaldy Rizqy Khoirul Waritsin S. Gama, Nemicio de Sarirotul Latifah Satria, Vinza Hedi Setia R, Ilham Setiawan, Rienaldi Shahab, Muhammad Syaugi Shodiq, Ja'far Siregar, Ilham Krisdianta Stevanus Frangky Handono Sunu Ilham Pradika Suriansyah, Muhammad Susy Rahmawati Syafriansyah, Muhammad Syahrul Munir Syalum Marsya Pruista Tasya Ardhian Nisaa’ Tauhid, Hidayat Nur Ummam, Mohamad Arel Intidhofatul Vito Fausta Majid Waskito, Muhammad Rizal Wifaqul Azmi, Muhammad Wijaya, Devan Cakra Mudra Wijaya, Devan Cakra Mudra Wiratama, Fadhli Shidqi Yoga Ari Tofan Yulianto, Emmil