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All Journal Jurnal Media Infotama SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Media Computer Science Jurnal Komputer Indonesia Jurnal Semarak Mengabdi Jurnal Komputer
Prahasti, Prahasti
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences Other

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PENERAPAN BIG DATA ANALYTICS DALAM PREDIKSI TREN E-COMMERCE DI INDONESIA Karmanita, Deti; Utami, Feri Hari; Prahasti, Prahasti; Harwini, Dewi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4587

Abstract

Abstract: The growth of e-commerce in Indonesia has been accelerating, driven by increasing internet penetration and the widespread use of mobile devices. The large, complex, and diverse volume of transaction data requires appropriate analytical methods to produce accurate trend predictions. This study aims to apply Big Data Analytics in analyzing consumer shopping patterns, popular product trends, and factors influencing purchasing decisions. Data were collected from various e-commerce platforms, processed using Hadoop and Spark, and further analyzed through predictive modeling with Machine Learning algorithms. The results indicate that integrating Big Data Analytics can improve trend prediction accuracy by up to 85% compared to conventional methods. These findings are expected to support strategic decision-making in Indonesia’s e-commerce sector. Keywords: Big Data Analytics, E-commerce, Machine Learning, Trend Prediction, Indonesia Abstrak: Pertumbuhan e-commerce di Indonesia semakin pesat, didorong oleh penetrasi internet dan meningkatnya penggunaan perangkat mobile. Data transaksi yang besar, kompleks, dan beragam membutuhkan metode analisis yang tepat untuk menghasilkan prediksi tren yang akurat. Penelitian ini bertujuan untuk menerapkan Big Data Analytics dalam menganalisis pola belanja konsumen, tren produk populer, serta faktor yang memengaruhi keputusan pembelian. Metode yang digunakan mencakup pengumpulan data dari berbagai platform e-commerce, pemrosesan menggunakan Hadoop dan Spark, serta analisis prediktif dengan algoritma Machine Learning. Hasil penelitian menunjukkan bahwa integrasi Big Data Analytics mampu meningkatkan akurasi prediksi tren hingga 85% dibanding metode konvensional, sehingga dapat mendukung strategi bisnis e-commerce di Indonesia. Kata kunci: Big Data Analytics, E-commerce, Machine Learning, Prediksi Tren, Indonesia
Rancang Bangun Game 2D Shooter Menggunakan Metode Finite State Machine Nopriansyah, Agung; Kanedi, Indra; Prahasti, Prahasti
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 2 (2022): Juni 2022
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i2.14947

Abstract

This 2D Shooter game is an adventure video game where the player plays the character of a Survivor. This game focuses on the Survivor's adventure to kill all the monsters in order to continue to the next level until the end. This game uses the Unity game engine, by implementing the Finite State Machine. Finite State Machine is used on NPCs (Non-Playable Characters), namely characters that appear in the game as monsters in the game such as Enemy and Boss characters.In the tests that have been carried out the results of the FSM (Finite State Machine) in this 2D Shooter game, most of the respondents with an average of 32% answered Very Good, 41% answered Good, 24% answered Moderate, 3% answered Poor.
Digital Awareness Terhadap Toleransi Dan Penerimaan Informasi Bagi Siswa Dalam Pemanfaatan Media Sosial Suryana, Eko; Beti , Ila Yati; Prahasti, Prahasti; Ramadani, Sabita; Alestri, Silla
Jurnal Semarak Mengabdi Vol 5 No 1 (2026): Januari
Publisher : STIA Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56135/jsm.v5i1.323

Abstract

Digital awareness is a deep and comprehensive understanding of the digital world, encompassing technology, devices, the internet, and the environment and culture that shape it. It is a state in which a person is not only able to use digital technology (digital skills) but also understands the impacts, risks, ethics, and potential benefits of using that technology in everyday life. Someone with high digital awareness will act wisely, critically, and responsibly when interacting, consuming, and producing information in the digital space. This community service activity aims to provide students of SMA Muhammadiyah 4 Bengkulu with an understanding and skills to understand the importance of digital awareness in social media. Furthermore, through training and mentoring, students are provided with the opportunity to utilize the concept of digital awareness to avoid negative aspects of social media. This community service provides and demonstrates students' awareness of positive social media use and what to avoid to minimize the negative impacts resulting from carelessness. Digital awareness provides positive information on students' level of understanding and skills, encouraging them to remain aware of the influence of digital technology, which can have negative consequences if they lack a good understanding of digital awareness.
Co-Authors Alestri, Silla Andalah, Haluan Saputra Andriansyah Andriansyah Asnawati Asnawati Astuti, Novi Bendrianti, Rita Prima Beti , Ila Yati Deti Karmanita Dialyu, Endrix Eko Suryana Erwansyah, Riska Feri Hari Utami, Feri Hari Gultom, Victor Yonathan Handika, Elsi Harwini, Dewi Herlina Latipa Sari Indra Kanedi Jusuf Wahyudi Liza Yulianti Mashaq, Ferdynan Meizoni, Putra Nopriansyah, Agung Ramadani, Sabita Ronaldi, Ronaldi Sari, Venny Novita Supardi, Reno Thomas Meifialdy Yupianti , Yupianti