Claim Missing Document
Check
Articles

Smart Aquaculture: Automated Fish Feeding with Blynk Alerts Budi Wibowo; Nida Pristyan Ramadhani; Fachri Alfianza; Febriano Anggawa Rizky; Taufik Hidayat
Jurnal Komputer dan Elektro Sains Vol. 3 No. 2 (2025): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v3i2.299

Abstract

Rapid developments in aquaculture have driven the need for efficient and sustainable feeding systems. This study presents the design and implementation of an automatic fish feeder using the Wokwi platform, integrated with the Blynk application. The system aims to deliver feed at optimal intervals and quantities, improving fish growth while minimizing waste. The research utilizes ESP32 as the main controller and servo motors to operate the feeder mechanism. Feeding schedules can be remotely controlled via the Blynk mobile app, allowing for flexible and precise feed management. Testing results indicate that the system consistently provides accurate feed portions at designated intervals, demonstrating reliability and ease of use. This automated feeder offers a cost-effective and environmentally friendly solution for aquaculture, reducing the labor and inefficiencies associated with manual feeding. Consequently, this innovation represents a significant advancement in aquaculture technology, promoting sustainable practices and enhancing overall operational efficiency.
Perancangan Aplikasi Sistem Informasi di Objek Wisata Ciperna Golf Course Dhafin, M. Kenanta; Saleh Ali, Zeyn; Pratama SJ, Wahyu; Reisyya Y. P, Ica; Hidayat, Taufik
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 2 No. 2 (2025): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v2i2.255

Abstract

Penelitian ini bertujuan untuk merespons tantangan yang dihadapi pada destinasi pariwisata Ciperna Golf Course. Pada era digital saat ini, penggunaan sistem yang kompleks dan modern sangat dibutuhkan dalam pengelolaan industri pariwisata. Pemilihan topik ini didasarkan pada pentingnya peran perkembangan teknologi informasi dalam mendukung manajemen pariwisata. Metode penelitian yang digunakan adalah observasi dan wawancara langsung di lokasi pariwisata tersebut. Hasil penelitian menunjukkan bahwa pengguna mengalami kendala dalam proses reservasi, serta keterbatasan informasi mengenai ketersediaan lapangan, ketersediaan caddy, kondisi peralatan, dan prakiraan cuaca. Hal ini seringkali menimbulkan kesalahpahaman antara pengunjung dan pihak pengelola. Berdasarkan temuan tersebut, peneliti merancang sebuah aplikasi berbasis Android dan iOS yang terintegrasi dengan berbagai fitur untuk memudahkan pengguna dalam melakukan reservasi, sekaligus menyediakan informasi lengkap mengenai Ciperna Golf Course. Dengan adanya aplikasi ini, diharapkan pengalaman pengguna dapat meningkat, kesalahpahaman dapat diminimalisir, serta pengelolaan destinasi pariwisata menjadi lebih efisien dan modern.
Strengthening the Internalization of Pancasila Values in the Millennial Generation Through Character Education in Indramayu Regency Rosyad, Ali Miftakhu; Hidayat, Taufik; Nurchamidah, Nurchamidah; Baedowi, Muhamad; Hamsah, Muhammad
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 3 No. 1 (2026): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v3i1.474

Abstract

The degradation of Pancasila values among the millennial generation challenges the resilience of national ideology in the digital era. This community service program aimed to strengthen the internalization of Pancasila values through a local wisdom-based participatory action learning approach for millennials in Indramayu Regency involving 120 participants from university students, Karang Taruna members, and community activists aged 18–35 years. The intervention integrated reflective workshops, social action mentoring, and impact evaluation to transform cognitive understanding into civic practice. The results showed a 78.5% increase in comprehensive understanding of Pancasila values and a 65.3% improvement in pro-social behavior, along with the emergence of 15 participant-initiated social action projects such as anti-hoax campaigns, interfaith dialogue forums, and mutual cooperation-based economic empowerment. These findings confirm that the integration of experiential learning with Dermayon local wisdom creates sustainable and community-driven character education. This model provides a scalable and replicable framework for strengthening civic and character education by positioning youth as active agents of socio-cultural value transformation.
Strengthening Civic Awareness and Religious Moderation among Millennials Through a Participatory Approach Based on Local Wisdom Rosyad, Ali Miftakhu; Hidayat, Taufik; Zaenudin, Zaenudin; Khoiriyah, Affy; Adelakun, Najeem Olawale
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 3 No. 1 (2026): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v3i1.480

Abstract

The increasing cases of intolerance and radicalism among millennials pose a serious threat to Indonesia's diversity and national unity. This community service program aims to strengthen civic awareness and religious moderation through a participatory approach based on local wisdom among millennials in Indramayu Regency. This study employed a one-group pretest-posttest quasi-experimental design with participatory community engagement approach, involving 135 participants consisting of college students, youth members of religious organizations, and community activists aged 18-35 years. The program was implemented through four stages: initial assessment of civic awareness and religious tolerance attitudes, interactive training based on interfaith dialogue, mentoring for implementing religious moderation actions, and evaluation of attitudinal changes. Paired sample t-test analysis (t = 21.35; p < 0.001) revealed statistically significant increases in the civic awareness index from 52.8 to 91.7 (73.8% improvement) and the religious moderation index from 57.4 to 91.5 (68.4% improvement). The program successfully generated 12 religious moderation movements initiated by participants, including interfaith dialogue forums, anti-hoax campaigns on religious content, and collaborative cross-faith social projects. The distinctive contribution of this study lies in the strategic integration of Indramayu's local wisdom ("ngaji bareng" and "silih asih antar umat") as a culturally rooted medium for simultaneously fostering civic awareness and religious moderation, demonstrating that participatory approaches anchored in indigenous values yield more sustainable outcomes than conventional top-down interventions.
Digital Forensics for Cyberattack Detection in VM Migration: A Conceptual Framework Hidayat, Taufik; Ibrahim, Nadim
Jurnal Komputer dan Elektro Sains Vol. 4 No. 1 (2026): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v4i1.537

Abstract

Virtual machine (VM) migration is widely used in cloud environments because it helps systems stay flexible and use resources more efficiently. At the same time, it can introduce security concerns, especially when forensic investigation is needed. Most previous studies look at areas like intrusion detection or memory forensics, but they are usually treated separately and not in relation to VM migration. In this work, a digital forensic framework is proposed for VM migration scenarios. The idea is to bring several steps together, such as monitoring, collecting data, analyzing it, and reporting the findings. One important point is the migration phase itself, since system states are moving between hosts and some activities may not be fully visible during this process. The framework is discussed conceptually by looking at how these parts interact and how it can address some of the limitations found in earlier work. In general, combining detection and forensic analysis in this way can help make investigations more consistent. This study can also be used as a starting point for further work and practical use in cloud systems.
Digital Signal Feature Extraction for Graph-Based Host Classification in VM Placement Hidayat, Taufik; Medriavin Silalahi, Lukman; Hamid, Abdul
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.7559

Abstract

This study proposes a host classification methodology based on signal analysis and graph representation as a pre-placement stage for virtual machines (VM) in a cloud computing environment. The Bitbrains dataset is utilized as a source of time-series data representing CPU, memory, disk, and network utilization. Each parameter is modeled as a discrete signal and analyzed in both time and frequency domains. The analysis is conducted using a fixed observation window and frequency-domain transformation to capture workload characteristics across multiple resources. The Fourier transform results indicate the dominance of low-frequency components, suggesting gradual workload variations. Spectral energy is calculated and normalized to identify quantitative differences between host conditions. The results show that the overloaded class contributes 98.9% of the total spectral energy, while the underloaded and balanced classes contribute only 0.7% and 0.4%, respectively. The extracted features are then integrated using a four-node graph model that connects all resource dimensions into a single structure. The aggregated graph score is employed for dynamic percentile-based classification. From a total of 1,239 analyzed hosts, the proposed method classifies 421 hosts as overloaded, 409 as underloaded, and 409 as balanced. These findings demonstrate that spectral characteristics combined with graph integration provide a quantitatively structured and adaptive host segmentation mechanism, where the resulting classification can support VM placement decisions by identifying underloaded, balanced, and overloaded host conditions.