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All Journal Jurnal Pendidikan Vokasi Jurnal Kependidikan: Penelitian Inovasi Pembelajaran JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan Teknologi dan Kejuruan IPTEK The Journal for Technology and Science Journal of Education and Learning (EduLearn) Jurnal Penelitian Pendidikan Matematika dan Sains Ekuitas: Jurnal Pendidikan Ekonomi JFA (Jurnal Fisika dan Aplikasinya) JIEET (Journal of Information Engineering and Educational Technology) Jurnal Pendidikan : Riset dan Konseptual Jurnal Dimensi Pendidikan dan Pembelajaran Educatio The Spirit of Society Journal : International Journal of Society Development and Engagement KACANEGARA Jurnal Pengabdian pada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JPM : Jurnal Pendidikan Matematika JISIP: Jurnal Ilmu Sosial dan Pendidikan GERAM (GERAKAN AKTIF MENULIS) International Journal for Educational and Vocational Studies Jurnal Studi Guru dan Pembelajaran Parameter Journal of Engineering, Technology, and Applied Science (JETAS) Indonesian Journal of Engineering and Technology (INAJET) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal Teknik Informatika (JUTIF) JPTE: Jurnal Pendidikan Teknik Elektro JASEE Journal of Application and Science on Electrical Engineering IJORER : International Journal of Recent Educational Research Jurnal Teknik Elektro (JTE) LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Edu Cendikia: Jurnal Ilmiah Kependidikan Journal of Applied Business, Taxation and Economics Reseach Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS) Journal FORTEI-JEERI Journal of Informatics and Computer Science (JINACS) Edukasiana: Jurnal Inovasi Pendidikan Engineering Science Letter Jurnal Pendidikan Teknik Elektro Jurnal Pendidikan Sultan Agung Kanigara Ekuitas Jurnal Pnedidikan Ekonomi Jurnal Komtika (Komputasi dan Informatika) Nucleus Journal
Lilik Anifah
Universitas Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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SISTEM PANIC BUTTON UNTUK KONDISI DARURAT WARGA DESA BERBASIS INTERNET OF THINGS Muhammad Yusman Zubairi; Puput Wanarti Rusimamto; Lilik Anifah; Nur Kholis
JURNAL TEKNIK ELEKTRO Vol. 15 No. 1 (2026): JANUARI 2026
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v15n1.p20-29

Abstract

Keamanan dan keselamatan masyarakat desa sering terancam oleh kondisi darurat seperti bencana alam, kebakaran, tindak kriminal, maupun keadaan medis yang membutuhkan respons cepat. Keterbatasan akses komunikasi menjadi salah satu kendala dalam penyampaian informasi darurat secara efektif. Penelitian ini bertujuan merancang dan membangun sistem Panic Button berbasis Internet of Things (IoT) untuk membantu warga desa dalam melaporkan keadaan darurat dengan cepat dan efisien. Sistem dikembangkan menggunakan mikrokontroler ESP32, sensor suhu DS18B20, DFPlayer Mini sebagai media peringatan suara, serta aplikasi berbasis web untuk pengiriman notifikasi darurat. Metode penelitian yang digunakan adalah eksperimen dengan pendekatan kuantitatif melalui pengujian fungsionalitas perangkat keras dan perangkat lunak, pengukuran waktu respons, keandalan sistem, serta observasi kemudahan penggunaan oleh warga. Hasil pengujian menunjukkan bahwa sistem mampu merespons laporan darurat dalam waktu rata-rata 1–2 detik pada jaringan WiFi desa dan 3–8 detik pada jaringan seluler. Tingkat keberhasilan pengiriman notifikasi hingga 100%. Selain itu, warga dapat menggunakan aplikasi dengan mudah tanpa pelatihan khusus dan memahami notifikasi darurat yang ditampilkan. Dengan demikian, sistem Panic Button berbasis IoT ini terbukti dapat meningkatkan keamanan dan mempercepat komunikasi dalam kondisi darurat di lingkungan desa.
MENGATASI SAMPAH PLASTIK MELALUI PROGRAM MAS MISTIK: STUDI KASUS PENDEKATAN PDIA DI SMKN 1 PENAJAM PASER UTARA Iwan Arkadianto; Yeni Anistyasari; Lilik Anifah; Luthfiyah Nurlaela; Rommy Mochammad Ramdhani; I Gusti Putu Asto Buditjahjanto
Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS) Vol. 9 No. 1 (2026): Jurnal Lingkungan dan Sumberdaya Alam (JURNALIS)
Publisher : Program Studi Teknik Lingkungan, Fakultas Teknik, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/jls.v9i1.4421

Abstract

SMK Negeri 1 Penajam Paser Utara dengan 579 warga sekolah menghadapi volume sampah plastik yang tinggi, baik yang berasal dari kantin maupun dari makanan yang dibawa atau dibeli di luar sekolah. Penelitian ini menganalisis penerapan pendekatan Problem Driven Iterative Adaptation (PDIA) dalam program MAS MISTIK (Makan Sehat Bergizi, Minim Sampah Plastik) untuk mengurangi sampah plastik dan mengubah kebiasaan konsumsi. Penelitian menggunakan desain studi kualitatif dengan teknik pengumpulan data wawancara mendalam, observasi partisipatif dan analisis dokumen. Pendekatan PDIA menyusun suatu siklus diagnosis masalah, pemetaan sumber sampah plastik, pembentukan koalisi, dan uji coba solusi secara iteratif. Tindakan yang dilakukan meliputi kegiatan “hari makan sehat” bulanan, kesepakatan dengan pihak kantin untuk menghentikan penjualan mi instan, penyediaan piring dan gelas guna ulang, serta kampanye penggunaan botol isi ulang dan wadah makan guna ulang. Triangulasi informasi dari petugas kebersihan, pengelola kantin, guru dan siswa menunjukkan adanya penurunan sampah plastik yang dirasakan serta pergeseran praktik dan norma sosial. Penelitian ini menyimpulkan bahwa PDIA menyediakan kerangka kerja yang efektif untuk menempatkan komunitas sekolah sebagai agen utama perubahan sosial dalam upaya pengurangan sampah plastik di sekolah.
Mango Leaf Detection: Comparison of YOLOv12n and YOLOv26n for Mangifera indica Disease Hari Atmojo Setiyo; Lilik Anifah
Nucleus Journal Vol. 5 No. 1 (2026): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v5i1.5103

Abstract

This study addresses the inaccurate detection of mango (Mangifera indica) leaf diseases, which can reduce plant productivity. A deep-learning-based automatic detection system is proposed to identify five leaf diseases (Mangifera indica): anthracnose, cutting weevil, dieback, powdery mildew, and sooty mold. This study compares two object detection models, namely YOLOv12n and YOLOv26n, with a dataset of 1,970 images. The data is annotated and divided into training, validation, and testing with weights of 70%, 20%, and 10%, respectively. Both YOLO models were trained for 100 epochs and evaluated using accuracy, precision, recall, and F1 score. The results of this study indicate that YOLOv26n performs better during testing, with an average accuracy of 97,06%, a recall of 98,76%, a precision of 98,25%, and an F1 score of 98,50%. In comparison, YOLOv12n achieved 94,52% accuracy, 98,92% recall, 95,47% precision, and 97,16% F1 score. Although YOLOv12n had slightly better training loss, YOLOv26n delivered more consistent performance, particularly in mean average precision (mAP) at higher thresholds. Therefore, YOLOv26n is better at identifying mango leaf diseases and has greater potential for real-time agricultural applications.
Trade-Off Analysis of Moving Average Filter in Light Sensors Nova Ariyanto; Farid Baskoro; Rifki Firmansyah; Lilik Anifah; Tri Wrahatnolo; Dimas Arya Soeadyfa Fridyatama
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.002255

Abstract

Light intensity measurements based on sensors often experience signal quality degradation due to noise interference. Although filtering methods are commonly used to reduce noise, improvements in signal stability are frequently accompanied by changes in dynamic response, resulting in a trade-off between accuracy and response speed that has not been extensively analyzed. This study aims to quantitatively evaluate the effect of Moving Average Filter (MAF) parameters on this trade-off in light sensor systems. The proposed method employs a first-order system simulation with a step input signal contaminated by White Gaussian Noise, which is subsequently processed using the MAF with various window sizes ( = 3, 5, 10, 20, and 40). The evaluation is conducted using Root Mean Square Error (RMSE) and rise time as indicators of estimation accuracy and response speed, respectively. The results demonstrate that increasing the window size significantly reduces the RMSE, decreasing from 0.0156 to 0.0072 under step-up conditions and from 0.0132 to 0.0066 under step-down conditions. Optimal performance is observed within the range of  = 10–20. However, this improvement in accuracy is accompanied by an increase in rise time, from 0.1027 s to 0.1175 s for step-up conditions and from 0.1036 s to 0.1191 s for step-down conditions, indicating a slower dynamic response. These findings confirm the existence of a trade-off between signal accuracy and response speed. Therefore, this study provides a quantitative basis for determining optimal filter parameters by considering the balance between measurement accuracy and system responsiveness in light intensity sensing applications.
The influence of creativity and learning motivation on entrepreneurial intentions of fisheries vocational high school students Priyono Priyono; Achmad Imam Agung; I Gusti Putu Asto Buditjahjanto; Lilik Anifah; Tomi Agfianto
Jurnal Pendidikan Vokasi Vol. 14 No. 1 (2024)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v14i1.69869

Abstract

The fisheries department is one of the expertise programs in Vocational High Schools (VHS). Learning motivation towards the entrepreneurial intention of VHS students majoring in fisheries is still low. This is supported by the fact that some students do not know the relationship between entrepreneurial intentions and learning motivation, which can arouse students' intentions for entrepreneurship. Therefore, this research aims to see the effect of creativity and learning motivation on the entrepreneurial intentions of VHS students majoring in fisheries. This research is ex post facto research with a quantitative approach because the data is generated in the form of numbers and analyzed based on statistical analysis. The sample in this research was 100 students, and the sampling technique used was purposive sampling. The data analysis technique used is multiple regression analysis. The results of this research explain that creativity has an influence on entrepreneurial intentions, and learning motivation has an influence on entrepreneurial intentions. This is evidenced through the results of the t-test where the sig value obtained is 0.003, whose value is much smaller than 0.05 (0.001 < 0.05) and the t-count is greater than the t-table (2.614 > 1.984), so it can be said that creativity has an influence on entrepreneurial intention, as well as the learning motivation variable where the t-count value is greater than the t-table (2.679 > 1.984). This research contributes to the literature by providing insight into the role of creativity and learning motivation in shaping student entrepreneurial intentions, which can inform the development of entrepreneurship education programs and policies.
Co-Authors A. Nur Afika Achilles Jaka Dewayana Adikara Achmad Akmal Fikri Achmad Imam Agung Achmad Imam Agung Adib Hafizh Pujabaladika ADITIA KURNIAWAN Afifah, Nabila Tri Agung Prijo Budijono Agus Budi Santosa Agustin T, Rr Hapsari Peni Akhmad Fahrur Rozi Ali Hasbi Ramadani Alpiana, Intan Alyafi, Mochammad Adam Amelia Salsabila Andri Arfianto Ansori, Zainal Mujib ARDHIKA RYZHA NURMAWAN Arif Setiawan Arif Widodo Asto, I Gusti Putu Aye Aye Mon Ayu Dini Ardianti Bambang Suprianto . Buditjahjanto, I Gusto Putu Asto Buitjahjanto, I Gusti Putu Asto Chatarina Umbul Wahyuni Choiria, Rini DELTA ARYA HERDYANTO Deviana, Ria Dewangkara, Putra Priangga Dimas Arya Soeadyfa Fridyatama Dita Larasati, Dita Dwikoranto Edy Sulistiyo Edy Sulistiyo Eka Andila Putri.K.K Ekohariadi Ekohariadi Ekohariadi Ekohariadi Endryansyah . . Endryansyah . . Endryansyah Endryansyah Farhana, Farhana Farid Baskoro Farid Baskoro Faris Dawwas Farisi, Isfandiar Naufal Firdaus Prasetyawan Firlani, Tony Fitri, Dyah Pranesti Shafira Fitriyah, Nur Aida Fransisca, Yulia Fudzee, Mohd Farhan Md Goenawan, Christian Ardi Candra Haafizhah, Faldy Naufal Hainur Rasid Achmadi Hapsari Peni Hapsari Peni Agustin Tjhayaningtijas Hari Atmojo Setiyo Harmanto Harmanto Haryanto Haryanto Heru Arizal Hibatullah, Muhammad Hanif Hisyam Muhammad Fuad AL Azka I G P Asto B I Gusti Putu Asto I Gusti Putu Asto B I Gusti Putu Asto B I Gusti Putu Asto B. I Gusti Putu Asto Buditjahjanto I Ketut Eddy Purnama IHSAN NURKHAKIM Ihtifazhuddan, Razan Intan Alpiana Irfansyah, Juki Ismail, Mohd Norasri Ismet Basuki Ismet Basuki Iwan Arkadianto Izza, Nida Nurul Jahjanto, I Gusti Putu Asto Khrisna Budi Prasetyo Kurnia Dwi Ariyanti Lestari, Ika Rokhasari Lestari, Yeni Kusuma Lestari, Yoni Dwi Lugita Sari, Prisillia Lusia Rakhmawati Lusia Rakhmawati Lutfiyah Hidayati Lutfiyah Nurlaela Luthfiyah Nurlaela M. Rosidi Zamroni Mahani, Sollia MARIA BINTANG Maspiyah Maspiyah Maulana Rizki Aditama Mauridhi Heri Purnomo Mauridhi Hery Purnomo Meini Sondang Sumbawati Mifta Dwi Rachmawati Miftahus Sholihin Miftahus Sholihin Moch Hariadi Mohd Farhan Bin Md. Fudzee Muchlas Samani Muhamad Syariffuddien Zuhrie Muhamad Syariffuddien Zuhrie Muhammad Anas Noval Muhammad Syariffuddien Zuhrie Muhammad Syariffuddien Zuhrie Muhammad Syariffuddien Zuhrie, Muhammad Syariffuddien Muhammad Yusman Zubairi Mulifah, Mulifah Munoto Munoto Munoto Munoto Munoto Munoto Ningrum, Sulis Desiana Nova Ariyanto Nugroho, Dwi Novianto Nugroho, Yuli Sutoto Nur Hasanah Nur Kholis Nur Kholis Nur Kholis Nurdiansyah, Aristyawan Nurhayati Nurhayati Nurhayati Nurhayati Nurlaela, Lutfiyah Nurul Rahma Fikha Sujarwo Nurwijayanti Parama Diptya Widayaka Pradypta, Afrianzah Prasetyawan, Firdaus Prasetyo, Khrisna Budi Prasetyoaji, Mukhamad Rio Eka Pratama, Dimas Surya Pritasari, Octaverina Kecvara Priyono Priyono Puput Wanarti Rusimamto Puput Wanarti Rusimamto Puput Wanarti Rusimamto PUTRA NURDIANSYAH, ARISTYAWAN Rachmawati, Mifta Dwi Raden Mohamad Herdian Bhakti Rahayu, Imami Arum Tri Ramadhina, Wansyka Ratna Suhartini Razan Ihtifazhuddan Revi Safitri Rifki Firmansyah Rifqi Firmansyah Rina Harimurti Rizki Rizaldy, Moch. Fahmy Rochman, Miftahur Rommy Mochammad Ramdhani RR. Ella Evrita Hestiandari Rudyana, Anisa Wahyu Saadah, Ayu Ummatus Sari Cahyaningtias Sari Cahyaningtias Sari, Handini Novita Setiyo, Hari Atmojo Setyawarhana, Burhanuddin Yusuf Setyowati, Lis Setyowati, Wiwit Wahyu Shihab Saifullah, Muhamad Alwi Soeryanto Soeryanto SRI PURWANDANI Subekti, Muhammad Yayang Subuh Isnur Haryudo SULISTIYO, EDY Supartini, Titin Susiani, Irna Syarifah Nur Aini Tjahjaningtijas, Raden Roro Hapsari Peni Agustin Tjahjanto, I Gusti Putu Asto Budi Tomi Agfianto Tri Rijanto Tri Rijanto Tri Wrahatnolo Tyas Arumningsih Umaroh, Susi Tri Unit Three Kartini Ushofa, Baroroh Dhiya' Utomo, Bekti WANARTI RUSIMAMTO, PUPUT Wanarti, Puput WARJU Wiwik Handayani Wiwit Wahyu Setyowati WRAHATNOLO, TRI Yeni Anistyasari Yuli Sutoto Nugroho Yuli Sutoto Nugroho Yuli Sutoto Nugroho Yuwono, Dany Purno Zaki, Ibrahim Yusuf Zuhrie, M. Syariffuddien Zuhrie, Muhamad Syariffuddien Zulfannur Zulfannur Zulfannur, Zulfannur