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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JSAI (Journal Scientific and Applied Informatics) TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) Jurnal Algoritma Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Penelitian Sistem Informasi Jurnal Satya Informatika Seminar Nasional Inovasi Teknologi Kocenin Jurnal Pengabdian Kepada Masyarakat BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Journal of Applied Research In Computer Science and Information Systems Green Engineering: Journal of Engineering and Applied Science Jurnal Pengabdian Masyarakat Terapan Jurnal Informatika Dan Tekonologi Komputer Proceeding of The International Conference on Electrical Engineering and Informatics Integrated System and Management Technology Software Engineering in Computing Systems
Safrizal Safrizal
Universitas Pembangunan Jaya
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Segmentasi Pasar Pariwisata Provinsi Jawa Barat Menggunakan K-Means Berdasarkan Jumlah Kunjungan, Hotel, dan Restoran Safrizal Safrizal; Difa Pratama Hakim
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 2 (2025): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i2.6170

Abstract

This study was conducted with the aim of segmenting tourism in the West Java Province to help local governments to identify the characteristics and potential of each region in order to determine more targeted development strategies. The approach used is K-Means Clustering with variables of the number of visits, restaurants, and hotels with the data period used from 2021 to 2024. The analysis process carried out includes data normalization, determining the optimal cluster value with the Elbow Method and Silhouette Score, then visualizing the clustering results with PCA and geospatial maps. The resulting clustering shows two main clusters: clusters with high infrastructure and number of tourists (such as Bandung City and Bogor Regency) and clusters with tourism potential that still need more attention. The conclusion of this study successfully answers the objectives and contributions of the research to be achieved, that the approach used can reveal the inequality of potential in each region and provide a picture of data-based development priorities.
Analisis Ternak Menggunakan K-Means Clustering Dalam Business Intelligence Sulaiman Savero Sagi; Safrizal Safrizal
Bulletin of Computer Science Research Vol. 6 No. 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i3.1059

Abstract

This study aims to analyze livestock population patterns and classify regions in Central Java using data from 2020–2023 covering cattle, goats, and chickens from official sources. The Knowledge Discovery in Database (KDD) framework and K-Means Clustering were applied, with the optimal number of clusters determined using the Elbow Method and Silhouette Score. The results show that the optimal number of clusters is two (K=2), with a Silhouette Score of 0.328, indicating a relatively weak clustering structure with potential overlap. Despite this limitation, the results reveal meaningful segmentation when combined with Business Intelligence analysis. Cluster 0 represents regions with lower population but higher growth, while Cluster 1 represents regions with higher population but lower or negative growth. Further analysis indicates that the relationship between population, growth, and production is not linear, where high production does not necessarily correspond to strong growth. These findings highlight the importance of distinguishing between current production capacity and future growth potential, providing more informative insights for data-driven decision-making in livestock sector management.
Design of an Autonomous Solar Powered Smart Aquaculture Monitoring System for Energy Efficiency and Environmental Impact Reduction Lukman Medriavin Silalahi; Safrizal Safrizal; Erick Fernando; Hayadi Hamuda; Ribut Julianto; Yuanita Sinatrya
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.286

Abstract

Aquaculture is a vital sector in global food production, providing essential protein sources. However, the industry faces significant challenges, including high energy consumption and environmental impact. The integration of renewable energy, particularly solar power, with automation and IoT systems offers a promising solution to enhance energy efficiency, sustainability, and productivity in aquaculture operations. This study aims to evaluate the effectiveness of solar powered autonomous systems in reducing energy usage, improving operational efficiency, and promoting environmental sustainability in aquaculture. Literature Review: Recent research has explored various technologies, such as Digital Twins (DTs) and Precision Fish Farming (PFF), which integrate IoT sensors for real time monitoring and optimization of fish farming operations. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, has further advanced the industry by enabling automated decision making and predictive analytics. Solar power integration with IoT systems has been shown to significantly reduce operational costs, minimize carbon emissions, and enhance the sustainability of aquaculture practices. These advancements have the potential to address the challenges of energy consumption and environmental degradation in the industry. Materials and Method: This research utilizes a hybrid solar powered IoT system for aquaculture, integrating solar panels, IoT sensors, and automated control systems. The system monitors key water quality parameters, such as pH, dissolved oxygen, turbidity, and temperature, to maintain optimal conditions for aquatic life. Data is collected through IoT sensors and analyzed through a cloud-based platform. A pilot study is conducted on a small scale aquaculture farm to evaluate the system's performance, including energy consumption, water quality management, and fish health. Energy savings, operational efficiency, and environmental impact are assessed. Results and Discussion: The integration of solar powered IoT systems significantly reduced energy consumption compared to traditional systems, with a notable decrease in grid electricity reliance. The system successfully maintained optimal water quality conditions, enhancing fish health and growth. Solar powered systems proved reliable, even in regions with variable sunlight, and demonstrated improvements in operational efficiency through automation. The environmental benefits were evident, with a reduction in carbon emissions and lower operational costs. The study highlights the feasibility of solar powered IoT systems as a sustainable solution for modern aquaculture operations.
Pemberdayaan Pemuda Karang Taruna Melalui Literasi Bisnis Digital Tiktok Affiliate dan Aplikasi Keuangan SIAPIK Faizah Syihab; Safrizal Safrizal; Denny Ganjar Purnama; Johannes Hamonangan Siregar; Chaerul Anwar
Jurnal Penyuluhan dan Pemberdayaan Masyarakat Vol. 5 No. 1 (2026): Jurnal Penyuluhan dan Pemberdayaan Masyarakat
Publisher : CV. Era Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59066/jppm.v5i1.2039

Abstract

Perkembangan ekonomi digital menghadirkan peluang bagi pemuda dalam meningkatkan kemandirian ekonomi, namun masih terkendala oleh rendahnya literasi bisnis digital dan pengelolaan keuangan. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan literasi bisnis digital dan kemampuan pencatatan keuangan pemuda Karang Taruna melalui pemanfaatan TikTok Affiliate dan aplikasi keuangan SIAPIK. Metode pelaksanaan meliputi sosialisasi, pelatihan, pendampingan praktik langsung, dan evaluasi. Pelatihan TikTok Affiliate difokuskan pada pengelolaan akun bisnis, pembuatan konten promosi, serta mekanisme perolehan komisi, sedangkan pelatihan SIAPIK diarahkan pada pencatatan transaksi pemasukan dan pengeluaran secara digital dan sistematis. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap konsep bisnis digital, kemampuan memanfaatkan TikTok Affiliate sebagai media promosi produk, serta keterampilan dalam melakukan pencatatan keuangan menggunakan SIAPIK. Peserta juga menunjukkan peningkatan motivasi berwirausaha dan kesadaran akan pentingnya pengelolaan keuangan yang transparan dan akuntabel. Kegiatan ini berkontribusi dalam memperkuat literasi digital dan mendukung pemberdayaan ekonomi pemuda Karang Taruna agar lebih adaptif dan kompetitif di era ekonomi digital.
Co-Authors Aditiameri Aditiameri Aditya, Fadhila Agung Priambodo Andy Julianto Augury El Rayeb Cahyono Budy Santoso Cahyono Budy Santoso Chaerul Anwar Chaerul Anwar Chaerul Anwar Chrisamudra, Rosi Windi Dedi Candro Parulian Sinaga Denny Ganjar Purnama Denny Ganjar Purnama Difa Pratama Hakim Dimas Abimanyu Panji Emir Muhammad Al-Fariq Erick Fernando Faizah Syihab Faizal Zuli Hamuda, Hayadi Hudri Ritonga, Adrian Marsa Imeldawaty Gultom Irwanto Irwanto Johannes Hamonangan Siregar Julianto, Ribut Junaidi Junaidi Kiyota Hashimoto Lathifah Alfat, Lathifah Listiana Satiawati Lukman Medriavin Silalahi Lukman Medriavin Silalahi Nabeel Fazle Mawla Buntaran Nizirwan Anwar Panji Wijaya Komara Prabandini Kartika Sulaiman Savero Sagi Sumadikarta , Istiqomah Sumihar M.L. Tobing Syaiful Anwar T. Adi Kurniawan Teddy Mohamad Darajat Turkhamun Adi Kurniawan Variant Prakasa Wibowo Warnars, Harco Leslie Hendric Spits Yuanita Sinatrya Yunus Widjaja