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All Journal Jurnal Pendidikan Fisika FKIP UM Metro Jurnal SOLMA JURNAL REKAYASA SISTEM INDUSTRI Martabe : Jurnal Pengabdian Kepada Masyarakat JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Teknologi Dan Sistem Informasi Bisnis Yumary: Jurnal Pengabdian kepada Masyarakat Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Sains dan Informatika : Research of Science and Informatic Jurnal Sistem Informasi dan Informatika ILTEK : Jurnal Teknologi JT-IBSI (Jurnal Teknik Ibnu Sina) Jurnal Quancom: Jurnal Quantum Komputer JR : Jurnal Responsive Teknik Informatika Jurnal Responsive Teknik Informatika Jurnal Ilmiah Manajemen Inovasi Bisnis dan Strategi
Hernando, Luki
Institut Teknologi Batam
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Edukasi Pengawetan Pangan Laut Baik Tradisional Maupun Modern Hazimah, Hazimah; Alhamidi, Alhamidi; Permatasari, Ririt Dwiputri; Bora, M. Ansyar; Hernando, Luki; Candra, Joni Eka; Jabnabillah, Faradiba; Hani Sulistyaningrum; Deslika, Deslika
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20563

Abstract

Background: Ikan merupakan sumber protein hewani yang melimpah dan mudah diperoleh, namun memiliki kelemahan mudah mengalami pembusukan karena kandungan airnya yang tinggi. Kondisi ini menuntut adanya penanganan dan pengawetan yang tepat agar ikan tetap aman dikonsumsi. Kegiatan pengabdian ini bertujuan memberikan edukasi kepada masyarakat pesisir Tanjung Uma, Batam, mengenai metode pengawetan pangan laut baik secara tradisional maupun modern, serta cara mendeteksi bahan pengawet berbahaya seperti boraks dan formalin dengan memanfaatkan indikator alami kunyit. Metode: Metode pelaksanaan dilakukan melalui ceramah interaktif, diskusi, dan praktik langsung deteksi boraks dan formalin pada sampel ikan. Kegiatan diikuti oleh masyarakat pesisir yang mayoritas berprofesi sebagai ibu rumah tangga dan pelaku usaha kecil pengolahan ikan. Hasil: Hasil evaluasi menunjukkan adanya peningkatan pengetahuan dan keterampilan peserta, meliputi pemahaman perbedaan metode pengawetan tradisional dan modern, pengetahuan mengenai bahaya boraks, serta keterampilan dalam melakukan uji sederhana untuk mendeteksi bahan pengawet berbahaya. Kesimpulan: Kegiatan ini menyimpulkan bahwa edukasi disertai praktik lapangan terbukti efektif meningkatkan kemampuan masyarakat dalam mengawetkan ikan secara aman tanpa penggunaan bahan kimia berbahaya.
Rancang Bangun Sistem Monitoring Suhu & Ph Akuarium Ikan Hias Berbasis IOT (Internet OF Things) Menggunakan Framework Laravel dan Bot Telegram azmayusuf; Luki Hernando; Zainul Munir; Muhammad Jufri
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 2 (2025): Desember 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i2.402

Abstract

Indonesia possesses significant potential in marine ornamental fish resources with high economic value. One of the main challenges in maintaining koi (Cyprinus carpio), which is popular for its attractive shape and colors, is maintaining a stable aquarium environment. Fluctuations in water temperature and pH can adversely affect the health of the fish, thus an effective monitoring system is necessary. This study employs a waterfall development method to design and build a temperature and pH monitoring system based on the Internet of Things (IoT). The system is developed using the Laravel framework and a Telegram bot to enable real-time monitoring of water conditions and provide automatic notifications to the owner when water conditions fall outside safe limits. Testing results show that the system successfully detects water temperature with an error margin between 1.44% and 2.50%. The results of the pH sensor testing show that the measured pH values range from 6.24 to 7.14. The percentage error in the measurements varies from 2.19% to 14.53% compared to the reference pH value of 7.3. The notification system also performs well, sending alerts when the water pH is below 6.5 or above 7.8, and when the water temperature is below 22°C or above 30°C. The web application effectively displays real-time temperature and pH data and allows control of pH and temperature through commands from the web interface.
Perancangan Sistem Pencatat Kecepatan Angin Untuk Studi Kelayakan Pembangunan Pembangkit Listrik Tenaga Bayu (Pltb) Berbasis Internet Of Things (Iot) Husada, Rahmadi; Joni Eka Candra; Luki Hernando; Masril, M Abrar
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 3 No. 2 (2025): Desember 2025
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jqc.v3i2.403

Abstract

Wind is one of the potential renewable energy sources that is gaining increasing attention in efforts to diversify energy resources. This study aims to design and implement a wind speed recording system based on the Internet of Things (IoT) to facilitate feasibility studies for wind energy utilization. The system uses an Anemometer sensor to measure wind speed, a NodeMCU ESP8266 as the microcontroller, and a 20x4 I2C LCD to display data in real-time. The generated data will be transmitted wirelessly via a Wi-Fi network to the Arduino IoT Cloud platform, where it can be accessed and analyzed remotely. The main challenge in designing the wind speed recording system is integrating various hardware and software components to ensure system interoperability and optimal performance. To address this issue, a modular approach was taken using standard interfaces and phased integration testing. Furthermore, the wind speed recording system was tested in two highland areas and two coastal areas, all of which are open areas, namely Bukit Tiban Ayu, Bukit Tangga Seribu, Pantai Cipta Land located in Sekupang District, and the second Barelang Bridge. The measurements yielded average wind speed recordings of approximately 0.60 m/s at Bukit Tiban Ayu and Pantai Cipta Land, around 0.88 m/s at Bukit Tangga Seribu, and 1.02 m/s at the second Barelang Bridge. The measurement results at these four locations did not meet the wind energy utilization standards. The data generated from this study can be used by (wind power plant) developers as an analysis in determining the feasibility of locations for development.
PENGARUH PENGGUNAAN KECERDASAN BUATAN (AI) TERHADAP KECERDASAN KOGNITIF MAHASISWA: PERSPEKTIF ERGONOMI KOGNITIF Bora, Ansar; Permatasari, Ririt Dwiputri; Hernando, Luki; Hanafie, Ahmad; Maylani, Anisya; Adriyanto, Adriyanto
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.299

Abstract

Penelitian ini bertujuan menganalisis pengaruh kecerdasan buatan (AI) terhadap kemampuan kognitif mahasiswa, khususnya berpikir kritis, pemecahan masalah, dan daya ingat, serta menilai persepsi mahasiswa terhadap penggunaannya dalam pembelajaran. Latar belakang penelitian ini berangkat dari meningkatnya pemanfaatan AI di pendidikan tinggi yang menghadirkan peluang sekaligus risiko ketergantungan kognitif. Metode yang digunakan adalah eksperimen dengan desain post-test only control group pada 120 mahasiswa, dibagi kelompok eksperimen (menggunakan AI) dan kontrol (metode konvensional). Instrumen kuesioner skala Likert digunakan untuk menggali persepsi mahasiswa. Analisis dilakukan dengan uji-t, ANOVA, dan regresi linier. Hasil menunjukkan perbedaan signifikan antara kedua kelompok, dengan skor kognitif lebih tinggi pada kelompok eksperimen (t = 4.210; p < 0.01). Pengaruh terbesar AI terdapat pada aspek pemecahan masalah (F = 6.73; p < 0.01), sedangkan peningkatan daya ingat relatif rendah. Persepsi mahasiswa cenderung positif, terutama pada indikator pemahaman konsep (mean = 4.0) dan motivasi belajar (mean = 3.8), meski muncul indikasi ketergantungan (mean = 3.5) dan penurunan daya ingat (mean = 3.3). Regresi menunjukkan intensitas penggunaan AI berkontribusi signifikan terhadap peningkatan kognitif (R² = 0.420). Kesimpulannya, AI efektif sebagai cognitive enhancer namun perlu diintegrasikan dengan prinsip ergonomi kognitif agar tidak melemahkan kemandirian berpikir mahasiswa.
Co-Authors Abdullah, Hisyam Ma'wa Adriyanto Adriyanto, Adriyanto Ahmad Andrevi Alrasyidin Alhamdidi Alhamidi, Alhamidi Alif Avaldo Andika, Jeremy Andrevi Alrasyidin, Ahmad Angga Kurniawan Anugrah, Jelita Balqis Aprilla Handayani, Vitri Ardo Wibowo, Sadiq Arif Budiman Arsyil Majiid Aryo Pratama, Bimo Assaidatul Husna azmayusuf Bora, Ansar candra, joni eka Caniago, Deosa Putra Delia Meldra Deslika, Deslika Devikaduri, Laras Dika, Andika Zahrah Ramadhanti Dimas Akmarul Putera Eka Iswandy Eko Sulistyono Eko Sulistyono Sulistyono Erica Fauzan, Haidil Fernandes, Atman Lucky Firdasari Firdasari Firstnanda Rachellia Pramiesty Friadi, John Genadi Septiansyah Hanafie, Ahmad Handayani, Vitri Aprilla Handayani, Vitri Aprilla Hani Hani Sulistyaningrum Harahap, Widiya Lestari Hazimah, Hazimah Hendri Kremer Husada, Rahmadi Husna, Assaidatul Ikhsan Ikhsan Imam Gunawan Ismael Ismael Jabnabillah, Faradiba Jeremy Andika Karel Chavez Kevin Antony Kremer, Hendri Kurniawan, Vinsensius Fendy Lawi, Ansarullah M. Abrar Masril M. Ansyar Bora Majiid, Arsyil Mardiansyah, Yopy Maria Yosefina Meinadia Sekar Kinanti Aswirawan Masril, M. Abrar Maylani, Anisya Mhd Adi Setiawan Aritonang Muhammad Abrar Masril Muhammad Adi Sukma Nalendra Muhammad Fajar Shodiq, Muhammad Fajar Muhammad Jufri Muhammad Jufri munir, Zainul Munir Nabilah Nabilah Nabilah Nabilah Nadia Widari Nasution Nalendra, Muhammad Adi Sukma Nurcholiq, Rini Pradipto, Dimas Pramiesty, Firstnanda Rachellia Puspita Sari, Amanda Renvil Renvil Renvil, Renvil Ria Sapitri Rini Nurcholiq Ririt Dwiputri Permatasari Sadiq Ardo Wibowo Sadiq Ardo Wibowo, Sadiq Ardo Sahputra, Alif Salimah, Nora Salsabila, Tia Andini Sapitri, Ria Saputra, Tommy Septiansyah, Genadi Shilah, Nur Siagian, Teddy Elfvaro Siswono, Anggi Sondra Wijaya, I Made Sunarsono, Hery Sunarsono, Hery Surgiwe, Surgiwe Taufiq Rahman Taufiq Rahman Tuto Bakang, Clarita Veza, Okta Weziza Putra Widiya Lestari Harahap