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Community Knowledge and Attitudes about the Health Protocols Implementation during the COVID-19 Pandemic in North Birobuli Village Fadjriah, Rasyika Nurul; Rau, Muhammad Jusman; Syam, Sadli; Firmansyah, Firmansyah; Nurfiana, Nurfiana
Journal of Health and Nutrition Research Vol. 1 No. 2 (2022)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v1i2.34

Abstract

The purpose of the study was to determine the knowledge and attitudes of the community about implementing health protocols during the COVID-19 pandemic in North Birobuli Village. The research method used was qualitative with a case study approach. The number of informants in the study was 12 people obtained through purposive sampling. The results showed that the predisposing factors for knowledge related to COVID-19, symptoms of COVID-19, the transmission of COVID-19, how to prevent COVID-19, and health protocols could be mentioned well by informants. However, the public still had a negative attitude towards COVID-19, who thought that COVID-19 does not exist and did not believe; in this attitude predisposing factor, the informant also explained that he was starting to feel tired of implementing health protocols. Our finding concludes that the community already has fairly good knowledge regarding health protocols during the covid 19 pandemic, and the community's attitude is showing negative attitudes related to covid and feeling tired regarding applying the health protocol.
Brain Tumor Detection On Magnetic Resonance Imaging Using Deep Neural Network Sutedi, Sutedi; Maulana, Muh Royan Fauzi; Agarina, Melda; Karim, Arman Suryadi; Nurfiana, Nurfiana
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1061

Abstract

Cancer is a heterogeneous disease that can attack all parts of the body. Cancer is caused by the abnormal and uncontrolled growth of body cells, resulting in damage to body tissue and the potential to cause death. Cancer is a type of malignant tumor that attacks the body, one of which is the brain. Every year there are 300 brain tumor patients in Indonesia, both adults and children. Generally, doctors use two methods to diagnose these tumors, namely: biopsy and magnetic resonance imaging (MRI). Although the use of biopsy is quite accurate in identifying brain tumors, the time required is relatively long, reaching 15 days. While using MRI is relatively fast, the resulting accuracy is low and depends on the experience of medical personnel. This research aims to develop a method for diagnosing brain tumors using MRI images to make it faster and more accurate. The method used in this research was a deep neural network with a convolutional neural network (CNN) architecture layer. This method was chosen because deep learning has the advantage of pattern recognition with a high level of accuracy and is directly proportional to the number of datasets. This study used a dataset of 300 MRI images with two-dimensional (2D) axial imaging. The metrics used as a basis for the performance of the deep neural network model are accuracy, sensitivity, specificity, precision, and dice similarity coefficient with the results of each metric, namely: 99.3%, 98.6%, 98%, 98%, 98.3%. The research results showed that a deep neural network can speed up the diagnosis of brain tumors with high accuracy within 0.2 seconds.Â
SOSIALISASI PENGGUNAAN APLIKASI CANVA UNTUK MENINGKATKAN KREATIVITAS SISWA DI SMP NEGERI 4 BAUBAU Wa Ode Husniah; Susiana, Susiana; Nikmat, Atun; Nurfiana, Nurfiana; Al Zawari, Rafikal; Nur Hasan, Rezkiani
Jurnal Pengabdian Masyarakat Sabangka Vol 3 No 03 (2024): Jurnal Pengabdian Masyarakat Sabangka
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/sabangka.v3i03.1048

Abstract

In this era of globalization, technology has a huge impact on various aspects of life, including aspects of education. Systems, tools, and all things related to the realm of education are increasingly tied to the name technology. Education also plays an increasingly large role in educational progress, including ease of access to materials, technology-based education systems, effective and efficient teaching tools and media, and others. Apart from that, technological developments have introduced many applications that make it easier for educators and students to receive and disseminate information, as well as in assignments. Canva is an online application that really helps all parties, including beginners from various backgrounds and fields, to provide facilities in designing information media and assignments in an interesting way so that the process of disseminating information and assignment results is more aesthetic and effective.
Analisis Perbandingan dan Karakterisasi Sensor Kelembaban Tanah Jenis Kapasitif dengan Jenis Resistif pada Objek Penginderaan yang Sama Setyawan, Dodi Yudo; Nurfiana, Nurfiana; Rosmalia, Lia; Setiawati, Melia Gripin
TEKNIKA Vol. 18 No. 1 (2024): Teknika Januari - Juni 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10563066

Abstract

Tanaman pangan jenis hortikultura baik sayur dan buah-buahan sangat memerlukan kelembaban tanah yang tepat dalam proses pertumbuhannya. Pada sistem pertanian cerdas proses penyiraman media tanam yang dilakukan secara otomatis berdasarkan data sensor kelembaban tanah sehingga diperlukan data kelembaban tanah yang tepat. Setidaknya ada dua jenis sensor kelembaban tanah yakni sensor kelembaban tanah jenis kapasitif dan jenis resistif yang sering digunakan para peneliti dalam pertanian cerdas namun belum ada yang membandingkan keduanya sehingga diperoleh karakteristik jelas dari keduanya perihal kestabilan dan keakuratan data. Ada tiga langkah pada penelitian ini yakni sampling data sensor dengan media udara, air dan tanah. Hasil penelitian menunjukkan sensor kelembaban tanah jenis resistif datanya lebih stabil dibanding dengan jenis kapasitif jika berada di media air dan udara sedangkan jenis kapasitif lebih stabil jika berada pada media tanah. Tingkat akurasi jenis resistif lebih baik dari jenis kapasitif jika berada di media air dan udara namun sangat kurang ketika berada pada media tanah dengan selisih data rata-rata 31,49.
PENINGKATKAN KESADARAN PERSILANGAN BUDAYA DAN DIGITALISASI PEMBELAJARAN PADA SISWA SMA MELALUI PENYULUHAN Syahputri, Rahmalia; Nurfiana, Nurfiana; Trisnawati, Sherli; Rafles, Zhahza; Alex, Zedric Pagdilao
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i2.21381

Abstract

Abstrak: Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman dan kesiapan digital siswa dalam menghadapi lintas budaya budaya dan digitalisasi pembelajaran. Hal ini penting dilakukan untuk memastikan dampak positif dari digitalisasi dan litas budaya tersebut dapat dimanfaatkan secara optimal oleh siswa dan menekan aspek negatif. Mitra kegiatan pengabdian ini adalah SMA Tunas Mekar Indonesia yang yang berlokasi di daerah Bandar Lampung. Kegiatan diikuiti 90 siswa dan didampingi oleh 9 Guru. Kegiatan dilakukan dengan metode penyuluhan dan diskusi kelompok. Hasil kuisioner pra kegiatan menunjukkan bahwa mayoritas siswa merasa yakin dalam menggunakan teknologi digital dan internet, serta menyatakan setuju bahwa kesiapan digital dapat meningkatkan kemampuan mereka untuk terhubung dengan orang-orang dari berbagai latar belakang. Sementara itu, hasil diskusi dijadikan sebagai bahan evaluasi yaitu kesesuaian tema dan kemampuan presentasi yang mendapatkan angka rata-rata % siswa berada di angka 80,78 dan 79. Hal ini menunjukkan bahwa siswa memiliki pemahaman yang baik tentang dampak teknologi dalam kehidupan sehari-hari. Berdasarkan hal tersebut, kegiatan ini memberikan kontribusi dalam meningkatkan pemahaman dan kesiapan digital siswa dalam menghadapi tantangan global yang semakin kompleks, serta memberikan wawasan tentang pentingnya literasi digital dan kesiapan dalam menghadapi tuntutan dunia digital.Abstract: This community service initiative aims to enhance students' comprehension of digital concepts and their preparedness to face the intersection of technology with different cultures in the context of education. The activity began with planning, including discussions between the team and school leadership to identify the actual needs of teachers and students for digital readiness. The next step involved students filling out a questionnaire to assess their understanding of the intersection of culture and technology in education. The supplementary material included topics such as the intersection of culture and artificial intelligence, followed by group discussions among students about the potential impact of technology in different industries and professions. The activity concluded with student presentations and evaluations. The questionnaire revealed that most students felt confident in using digital technology and agreed that digital readiness could enhance their ability to interact with people from diverse backgrounds. The group discussions demonstrated that students have a good understanding of the impact of technology on everyday life. This activity contributes to increasing students' digital comprehension and readiness to face complex global challenges while also emphasizing the significance of digital literacy and preparedness in meeting the demands of the digital world.  
Gempa Bumi : Hubungan Data Sensor MAG3110 dengan Data Sensor ADXL345 Berbasis IoT Dodi Yudo Setyawan; Nurfiana Nurfiana; Lia Rosmalia; Melia Gripin Setiawati
Jurnal Teori dan Aplikasi Fisika Vol. 9 No. 2 (2021): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v9i2.361

Abstract

Penerapan Sistem Irigasi Otomatis Berbasis IoT: Analisis Perbandingan Efisiensi Sensor Kapasitif dan Sensor Resistif dalam Pertanian Presisi Dodi Yudo Setyawan; Nurfiana Nurfiana; Retno Dwi Handayani; Lia Rosmalia
TEKNIKA Vol. 20 No. 2 (2026): Teknika Mei 2026
Publisher : Politeknik Negeri Sriwijaya

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

Abstract

This study compared the accuracy and efficiency of capacitive and resistive soil moisture sensors within an Internet of Things (IoT) based automated irrigation system in a smart garden case study.Irrigation automation by factors such as soil moisture sensors reliable as required, is a critical determinant in efficient water use.The paper uses the ESP32 based IoT irrigation framework to evaluate performance of two soil moisture sensors: capacitive and resistive. The operational efficiency, as well as the difference in total cost is also looked at.Smart gardens were used in this paper to record over three months (from July until September) dynamics of soil humidity, as well as the consumption of water. The cloud-based database saved in real-time per sensor response on one hand information, and then further statistical data every hour about pump activation frequency and total water discharge.Conclusions drawn from quantitative analysis are: Resistive sensor performance has some major problems, such as excessive sensitivity to changes in soil conductivity and a drift tendency over time. This causes Irrigation pump false alarms to occur frequently. Conversely, the capacitive sensor offered readings with more stable repetition and smaller variation.The results show that, compared to the resistive-based system, the system with capacitive sensors reduced cumulative water consumption by 30%. This implies that although resistive sensors may have a lower initial cost, the long-term water use efficiency which can be attained with capacitive sensors easily compensates for any disadvantages in performance they may have and makes their installation the best choice for sustainable IoT-based precision agriculture applications.
Pemodelan Suhu Udara Menggunakan Decision Tree pada Smart Greenhouse Dodi Yudo Setyawan; Nurfiana Nurfiana; Retno Dwi Handayani; Melia Gripin Setiawati; Lia Rosmalia; Bayu Nugroho
TEKNIKA Vol. 20 No. 1 (2026): Teknika Januari 2026
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18053913

Abstract

Pertanian greenhouse konvensional seringkali menghadapi tantangan inefisiensi akibat ketergantungan pada pengendalian manual dan tingginya variabilitas kondisi lingkungan. Untuk mengatasi hal tersebut, studi ini menyajikan metode pemodelan suhu udara berbasis Decision Tree yang dirancang khusus untuk optimalisasi smart greenhouse. Penelitian ini bertujuan untuk menciptakan sistem pengelolaan suhu yang presisi dan tangguh (robust) dengan memanfaatkan integrasi jaringan sensor nirkabel dan analitik data. Metodologi penelitian meliputi akuisisi data lingkungan, pra-pemrosesan data yang ketat, serta pelatihan model untuk memprediksi fluktuasi suhu. Hasil evaluasi menunjukkan bahwa algoritma Decision Tree mengungguli model komparasi lainnya, dengan capaian akurasi tertinggi sebesar 85,52%. Selain akurasi, penelitian ini juga berhasil mengimplementasikan model tersebut ke dalam sistem tertanam (embedded system), memungkinkan prediksi real-time sebagai mekanisme cadangan (fail-safe) saat sensor fisik mengalami gangguan. Penelitian ini memberikan kontribusi signifikan terhadap efisiensi sumber daya, optimalisasi hasil panen, serta keberlanjutan praktik pertanian modern. Studi lebih lanjut disarankan untuk mengeksplorasi teknik Deep Learning dan validasi jangka panjang guna meningkatkan performa adaptif sistem.
Pelatihan dan Implementasi Vertical Farming berbasis Internet of Things (IoT) Bagi Siswa dan Siswi di Emer Islamic Boarding School (EIBOS) Kecamatan Natar Kabupaten Lampung Selatan Setyawan, Dodi Yudo; Nurfiana, Nurfiana; Setiawati, Melia Gripin; Rosmalia, Lia; Nurjoko, Nurjoko
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 3 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i3.925

Abstract

Pengabdian masyarakat ini bertujuan mengembangkan literasi digital dan keterampilan praktis siswa Sekolah Menengah Atas (SMA) melalui penerapan teknologi IoT pada vertical farming, sejalan dengan tuntutan Revolusi Industri 4.0. Metode pelaksanaan dimulai dengan identifikasi masalah melalui Focus Group Discussion (FGD) bersama siswa terkait kendala pengelolaan lahan, pemantauan lingkungan, serta literasi teknologi. Berdasarkan hasil FGD, disusun modul komprehensif yang mencakup pengenalan konsep IoT (sensor, mikrokontroler, jaringan, aplikasi monitoring) dan prinsip vertical farming, dilengkapi peralatan pendukung seperti sensor suhu, kelembaban, pompa air, serta mobile apps. Pelatihan berjalan interaktif, siswa merakit perangkat IoT, mengintegrasikannya ke sistem monitoring berbasis cloud, dan berlatih troubleshooting koneksi. Setelah instalasi di rooftop EIBOS School, sistem memantau suhu (20–35 °C) dan kelembaban (40–80 %) tanaman kangkung, lalu secara otomatis mengatur suplai air. Pendampingan teknis rutin setiap dua minggu memastikan kemandirian operasional dan peningkatan kemampuan troubleshooting. Hasil evaluasi menunjukkan peningkatan pemahaman siswa yang signifikan, terbukti dari kemampuan merakit, mengoperasikan aplikasi monitoring, dan mempresentasikan proyek. Secara teknis, sistem berfungsi andal dengan akurasi sensor tinggi dan efisiensi penggunaan air, sementara aspek soft skill kerja sama tim, komunikasi ilmiah, problem solving terasah melalui kegiatan partisipatif. Satu tim siswa berhasil lolos final Indonesian Science Project Olympiad (ISPO) tingkat nasional, menegaskan efektivitas program dalam mempersiapkan kompetensi ilmiah dan teknis. Dengan demikian, program ini tidak hanya meningkatkan literasi IoT dan produktivitas urban farming, tetapi juga mendukung pembangunan berkelanjutan serta kesiapan generasi muda menghadapi tantangan era digital.
PENDAMPINGAN OPSI BAGI SISWA EIBOS LAMPUNG SELATAN: ANALISIS AKURASI SENSOR KELEMBABAN TANAH JENIS KAPASITIF DAN RESISTIF DALAM SISTEM IRIGASI Dodi Yudo Setyawan; Nurfiana Nurfiana; Novi Herwadi Sudibyo; Lia Rosmalia; Melia Gripin Setiawati
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 8 (2025): Januari 2026
Publisher : Bajang Institute

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

Abstract

Pengabdian masyarakat ini bertujuan mendampingi siswa SMA EIBOS Natar dalam ajang Olimpiade Penelitian Siswa Indonesia (OPSI) melalui penguatan kompetensi riset pertanian presisi. Mitra menghadapi kendala keterbatasan pemahaman metodologi eksperimental. Metode pelaksanaan menerapkan Project-Based Learning meliputi pelatihan perakitan mikrokontroler ESP32, pengujian komparatif sensor kelembaban tanah (kapasitif vs resistif), dan penyusunan naskah ilmiah. Hasil kegiatan menunjukkan siswa mampu mengembangkan purwarupa irigasi otomatis berbasis IoT. Analisis data membuktikan sensor kapasitif memiliki akurasi dan durabilitas lebih tinggi dibandingkan sensor resistif yang fluktuatif akibat korosi. Program ini berhasil meningkatkan literasi sains siswa dan mengantarkan tim mitra menjadi Finalis OPSI, yang berdampak pada penguatan budaya riset sekolah.
Co-Authors - Nurjoko Aco, Nisya Auliyah Al Zawari, Rafikal Alex, Zedric Pagdilao Alexander Hendra Wijaya Ananda Angelia Purba Annisa Diva Azzahra Arman Suryadi Karim, Arman Suryadi Arrun, Rastia Bayu Nugroho Berkat Fa’atulo Halawa Dermawan, Dermawan Firmansyah Firmansyah Hefri Juanto Levya Dewi Astrini Lia Rosmalia Lia Rosmalia Maulana, Muh Royan Fauzi Melda Agarina Melia Gripin Setiawati Muh Jusman Rau Nikmat, Atun Novi Herawadi Sudibyo Novi Herwadi Sudibyo Nur Hasan, Rezkiani Nurhatinah, Nurhatinah Rafles, Zhahza Rahmalia Syahputri Rahmalia Syahputri Rahmalia Syahputri Rasyika Nurul Fadjriah Retno Dwi Handayani Rohiman, Rohiman Rosandy, Triowali Rusli, Magfirah Sadli Syam Setiawan, Dodi Yudo Setiawati, Melia Gripin Setyawan, Dodi Yudo Sherli Trisnawati Sri Karnila Sulfasyah Sulfasyah, Sulfasyah Susiana Susiana Sutedi Sutedi Tarman A. Arif Tarman, Tarman Taufik Taufik Trisnawati, Sherli Wa Ode Husniah Yana, Muhhammad Saiful Zahra Dewi Amelia