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All Journal Jurnal Pendidikan Fisika FKIP UM Metro Phi : Jurnal Pendidikan Fisika dan Terapan Jurnal Inovasi Pendidikan IPA Edufisika: Jurnal Pendidikan Fisika Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) Jurnal Penelitian Pembelajaran Fisika JIPF (Jurnal Ilmu Pendidikan Fisika) Jurnal Pilar Nusa Mandiri EDUSCOPE: Jurnal Pendidikan, Pembelajaran, dan Teknologi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA COMPTON: Jurnal Ilmiah Pendidikan Fisika Jurnal Fisika : Fisika Sains dan Aplikasinya JURNAL PENA EDUKASI Pascal: Journal of Physics and Science Learning Respati Physics Education Research Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Penelitian Fisika dan Terapannya (JUPITER) Optika : Jurnal Pendidikan Fisika Borneo Educational Journal (Borju) Pillar of Physics Education : Jurnal Berkala Ilmiah Pendidikan Fisika JURNAL PENDIDIKAN DAN ILMU FISIKA Fraktal: Jurnal Matematika dan Pendidikan Matematika Jurnal Pembelajaran Fisika Jurnal PkM MIFTEK Quantum : Jurnal Pembelajaran IPA dan Aplikasinya Jurnal Pendidikan Amartha Charm Sains : Jurnal Pendidikan Fisika Pubmedia Jurnal Penelitian Tindakan Kelas Indonesia Jurnal Teknologi Pendidikan Impulse: Journal of Research and Innovation in Physics Education Jurnal Pendidikan Fisika Journal of Physics Education and Science Jurnal Pendidikan Jarak Jauh Jurnal Pengabdian Sosial Physical Sciences, Life Science and Engineering Jurnal Media Akademik (JMA) Journal of Mechanical Engineering Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) The Indonesian Journal of Computer Science Jurnal Pendidikan Indonesia (Ju-Pendi) Sunan Kalijaga Journal of Physics
Bayu Setiaji
STMIK AMIKOM Yogyakarta
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Podcast FISIKA ASIX Sebagai Media dalam Menunjang Pembelajaran Fisika di Era New Normal Adha, Esa Hidayatul; Wulandari, Novita; Setiaji, Bayu
Jurnal Pendidikan dan Ilmu Fisika Vol 2 No 1 (2022): June 2022
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v2i1.1934

Abstract

Pada pelaksanaan pembelajaran di era new normal masih banyak siswa yang motivasi belajarnya rendah, khususnya pada pelajaran fisika. Penelitian ini bertujuan untuk menguji kelayakan media pembelajaran berbasis podcast sebagai suatu inovasi pembelajaran dalam upaya meningkatkan motivasi belajar pada mata pelajaran fisika, khususnya materi difraksi cahaya. Jenis penelitian yang digunakan yaitu Research and Development (RnD) dengan model pendekatan ADDIE (Analyze, Design, Development, Implementation, and Evaluation). Teknik analisis data pada penelitian ini dilakukan dengan menggunakan metode succesive interval. Hasil penelitian ini menunjukkan bahwa nilai kelayakan pada setiap aspek kelayakan podcast Fisika Asix berada diatas 1,75. Sehingga dapat disimpulkan bahwa podcast Fisika Asix layak digunakan sebagai penunjang pembelajaran fisika di era new normal.
The Influence of Assignments on the Mental Health of Student if the Department of Phisiscs Education, Yogyakarta State University, 2023: Pengaruh Tugas terhadap Kesehatan Mental Mahasiswa Departemen Fisika, Universitas Negeri Yogyakarta tahun 2023 Fathira Oktavina, Siti; Hapsary, Yunni; Setiaji, Bayu
Borneo Educational Journal (Borju) Vol. 6 No. 1 (2024): February
Publisher : Teacher Training and Education Faculty, Widya Gama Mahakam Samarinda University

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

Abstract

Having good mental health is something that everyone hopes for. The importance of mental health for students can control their emotion regarding the situation they are facing. However, students often complain that they feel like they have too much assignments. So that not many of them feel stressed and pressured in doing it. Therefore, it is important to study further regarding students’ mental health. This research aims to prove how much influence coursework has on the mental health of students in the Department of Physics Education, Yogyakarta State University in 2023. The research method used is quantitative with a descriptive analytical approach. The sample used was 85 students from the Department of Physics Education, Yogyakarta State University class of 2023 using total sampling. The analysis carried out was a normality test which showed that the data was not normally distributed so it was carried out using the Mann-Whitney non-parametric test. The research result that can be conclude are that the influence of student assignments is quite small on the mental health of students at the Department of Physics Education, Yogyakarta State University in 2023.
The Influence of ICT Application on Students' Level of Understanding and Mastery of Physics: Pengaruh Penerapan ICT Dalam Tingkat Pemahaan Dan Penguasaan Fisika Pada Mahasiswa Syifa, Aliyya Layyinatu; Munthe, Clara Dwipuan; Setiaji, Bayu
Borneo Educational Journal (Borju) Vol. 6 No. 1 (2024): February
Publisher : Teacher Training and Education Faculty, Widya Gama Mahakam Samarinda University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/bej.v6i1.1500

Abstract

This research aims to determine the influence of Information and Communication Technology (ICT) on students' understanding of physics learning, aimed at students majoring in Physics Education, Yogyakarta State University, Class of 2023. In this research, data collection was obtained from distributing questionnaires to students of Physics Education, UNY 2023. Results data This research was processed using parametric statistical methods. The supporting applications used are Excel to tabulate data and SPSS which is used to analyze data obtained from research results. There are several stages carried out in parametric data processing, namely, normality test, linearity test, and t-test. In the normality test, a significance value of 0.200 was obtained. In the linearity test, the Sig value was obtained. deviation from linearity is 0.930. Then the t-test obtained a significance value of 0.001. It can be concluded from the results of the three tests and based on the basis for decision-making, that the research data is normally distributed, the variables are interconnected and influence each other.
Pendampingan Penyusunan Desain Pembelajaran Berbasis Meaningful dan Mindful Learning dalam Peningkatan Profesionalisme Guru di SMP IT Syuhada Perdana, Riki; Pujianto, Pujianto; Wiyatmo, Yusman; Sukardiyono, Sukardiyono; Widyaningtyas, Febrina Siska; Setiaji, Bayu
Jurnal Pengabdian Sosial Vol. 3 No. 1 (2025): November
Publisher : PT. Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/9w259g71

Abstract

Tujuan dari pengabdian kepada masyarakat ini adalah meningkatkan profesionalisme guru di SMP IT Syuhada melalui pendampingan dalam penyusunan desain pembelajaran berbasis meaningful dan mindful. Untuk mencapai tujuan ini, serangkaian pelatihan dan workshop kolaboratif telah dilaksanakan berfokus pada perancangan perangkat ajar yang inovatif, relevan, dan menstimulasi keterlibatan aktif peserta didik. Metode pelaksanaan mencakup identifikasi kebutuhan guru, memberikan literatur tentang pembelajaran meaningful dan mindful, demonstrasi praktik, dan pendampingan intensif dalam pengembangan desain pembelajaran. Hasilnya menunjukkan peningkatan pemahaman dan kemampuan guru untuk mengintegrasikan prinsip meaningful dan mindful learning dalam setiap aspek pembelajaran. Guru berhasil merancang pengalaman belajar yang adaptif, kontekstual, dan memfasilitasi pengembangan keterampilan berpikir kritis, kreatif, karakter peserta didik. Selain itu, aktivitas ini membantu meningkatkan kepercayaan diri dan kemandirian guru dalam menyiapkan perangkat ajar. Pendampingan berkelanjutan sangat penting dalam upaya untuk mendorong guru mengintegrasikan teori meaningful dan mindful learning dalam praktik kelas sehari-hari.
Development of an IoT-Based Electric Safety Buoy with Autonomous Navigation System for Coastal Water Rescue Operations Hari Muktafin, Elik; Abdullah Sukri, M Iqbal; Aziz Muzani, Ma'ruf; Sulistiyono, Mulia; Kusrini, Kusrini; Setiaji, Bayu
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11674

Abstract

This research aimed to develop and evaluate an IoT-based electric safety buoy equipped with an autonomous navigation system to support Search and Rescue (SAR) operations in coastal environments. The system integrates dual‐thruster propulsion, GPS and Inertial Measurement Unit (IMU) sensors, IoT telemetry, and a Return-to-Home (RTH) mechanism, enabling both manual and autonomous operation modes. Prototype testing was conducted in a controlled aquatic environment under light wave conditions (10–25 cm) and mild surface currents (0.18–0.32 m/s), with calm weather and unobstructed line-of-sight communication. The buoy was evaluated in both unloaded and 2 kg payload conditions, traveling at an average speed of 1.25–1.35 m/s across test sessions lasting 12–18 minutes. Three predefined GPS waypoints were used to assess navigation accuracy, motion stability, RTH reliability, and telemetry performance. Results show that the autonomous mode achieved a mean positioning error of 1.12 m, a cross-track deviation of 0.35 m, and a waypoint success rate of 96%, outperforming manual navigation by 52%. The RTH function maintained a success rate of 100% under low-battery conditions and 92% during communication loss, while IoT telemetry remained stable up to 200 meters with less than 1% packet loss. These findings confirm that integrating IoT-based telemetry with adaptive autonomous navigation enhances rescue mission efficiency and operational safety, while indicating the need for further validation under more challenging open-sea conditions.
Analisis Dinamika Pertumbuhan Penduduk Sleman Menggunakan Model Interpolasi Lagrange Hanifah, Nirmatun; Azahra, Angelina Nabila; Setiaji, Bayu
Fraktal : Jurnal Matematika dan Pendidikan Matematika Vol 6 No 2 (2025): November 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/fractal.v6i2.22597

Abstract

Population growth is a vital aspect of regional planning; however, the limited availability of census data over certain periods poses challenges for strategic decision-making. Therefore, a predictive method capable of accurately filling data gaps is essential. This study employs the Lagrange polynomial interpolation method, implemented in MATLAB, to model and predict the population of Sleman Regency from 2016 to 2045, including estimates for years beyond the available data. The analysis results indicate that the Lagrange interpolation method can generate reasonably accurate predictions and reflect a stable growth trend following the COVID-19 pandemic. The use of MATLAB facilitates calculations and visualization, thereby enhancing the effectiveness of the analysis. These findings affirm that Lagrange interpolation is an effective tool for demographic data prediction, which is crucial for supporting data-driven policymaking toward sustainable development. Based on these results, it is expected that the accuracy of regional and national development strategies can be improved in addressing future socio-economic dynamics.
Penguatan Kemampuan Menulis Karya Ilmiah Bagi Guru Sekolah Menengah Di Kampung Emas UNY Kota Yogyakarta Setiaji, Bayu; Aminatun, Tien; Rosana, Dadan; Mahmudi, Ali; Pujianto; Fatin, Rahma Nabila; Damayanti, Anastasya
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol. 10 No. 1 (2026): Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpmmp.v10i1.89789

Abstract

Workshop penulisan karya ilmiah dilaksanakan untuk meningkatkan kemampuan menulis guru sekolah menengah di Kampung Emas UNY Kota Yogyakarta, khususnya dalam menghasilkan karya tulis yang sesuai kaidah akademik. Kegiatan ini berupa pendampingan penulisan artikel ilmiah yang melibatkan narasumber akademisi dan praktisi pendidikan. Para guru SMP Negeri 12 Yogyakarta mengikuti rangkaian kegiatan, yang mencakup penyampaian materi, diskusi, praktik penyusunan draft, serta evaluasi melalui angket. Hasil angket menunjukkan bahwa pemahaman guru terhadap struktur artikel ilmiah, terutama bagian pendahuluan (57,6% baik) dan hasil penelitian (60,6% baik), berada pada kategori cukup memadai. Namun, bagian metode penelitian masih menjadi kendala utama dengan hanya 45,5% peserta yang menilai pemahamannya baik. Sebagian besar peserta menilai pemaparan narasumber jelas dan mudah dipahami, serta lebih dari 90% menyatakan berkomitmen untuk menerapkan keterampilan menulis dalam menghasilkan karya ilmiah. Temuan ini menunjukkan bahwa workshop efektif dalam meningkatkan literasi akademik guru, meskipun masih diperlukan pendampingan berkelanjutan agar keterampilan menulis dapat berkembang secara konsisten.
Komparasi Metode Naive Bayes dan SVM pada Sentimen Twitter Mengenai Persoalan Perpu Cipta Kerja : Comparison of Naive Bayes and SVM Methods on Twitter Sentiment Regarding the Government Regulations on Job Creation Issue Farhan, Nur Muhammad; Setiaji, Bayu
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3375

Abstract

Salah satu yang baru ini ramai diperbincangkan adalah persoalan UU Cipta Kerja yang banyak ragam orang berbincangkan mengenai dampak postif dan negatif mengenai hal tersebut. Oleh karena itu analisa sentimen pada persoalan UU Cipta Kerja untuk bisa mengetahui berapaa banyak orang yang menolak atau mendukung hal tersebut. Penelitian ini menggunakan data tweet sebanyak 622 data tweet yang berbahasa Indonesia. Kemudian ulasan tersebut di katagorikan ke beberapa sentimen dan algoritma, sentimen positif mendapatkan sebanyak 224 tweet, sebanyak 332 tweet yang bersentimen negative, dan sebanyak 66 bersentimen netral. Kemudian data tersebut dimasukkan kedalam algoritma Naïve Bayes dan SVM untuk menentukan tingkat akurasi yang didapatkan. Algoritma Naïve Bayes mendapatkan akurasi 73% dengan data akurasi training 87% dan SVM mendapatkan 78% untuk data testing dengan akurasi 99% dengan data training. Dari hasil tersebut menunjukka bahwa tingkat akurasi algoritma SVM lebih tinggi daripada akurasi algoritma Naïve Bayes.
Co-Authors Abdullah Sukri, M Iqbal Adha, Esa Hidayatul Adiyatma, Jovan Afifah, Nabila Afuwu, Eka Fitri Aisyah Putri, Aisyah Akhdania, Mahsa Ali Mahmudi Ali Mustopa, Ali Alifah, Khisna Aminatun, Tien Andi Sunyoto Andriyan Dwi Putra Anggraini, Zunita Dwi Anwari, Aldi Yunan Arda, Muhammad Adhli Armanda, Rizal Endrya Arofanti, Andini Nur Audrianita, Nazura Ayu Amalia AYU LESTARI Ayu Sukma, Melani Dyah Ayuningsih, Bella Azahra, Angelina Nabila Aziz Muzani, Ma'ruf Aziz, Khafidh Nur Azzahra, Talitha Rahma Bagus Pratama Banowati, Rika Bella, Alya Nurfita Cahyani, Marini Ayu Dadan Rosana Damayanti, Anastasya Damayanti, Bergitha Putri Damayanti, Senia Daynuari, Mellina Ayu Dedi Jayanta, Ida Ketut Eko Pramono Elsen, Rickard Ema Utami Faila, Rohaya Evatri Fajriyanti, Neng Nenti Falah, Muhammad Miftakhul Farhan, Nur Muhammad Farida Agus Setiawati Farkhan, Muhamad Mi'da Fathira Oktavina, Siti Fatin, Rahma Nabila Fatmawati, Alya Fauzan, Muhammad Alwan Fauzika Maurisa Rohmah, Amanda Fauziyah, Adinda Jaida Febiawati, Nabilla Ika Febiyan, Vio Anwar Febriani, Yuliana Felisiana, Fidel Risti Ferry Wahyu Wibowo Gumilar, Ari Fajar Haliza, Ronandita Laila Hanif Al Fatta Hanifah, Nirmatun Hapsary, Yunni Hari Muktafin, Elik Hati, Fadhila Kusuma Hidayah, Hani Nur Hidayah, Vivi Nur Hidayah, Yuliani Hidayat , Nadhifa Muftisany Hidayati, Nuril Ngilmi Hikmah, Dwi Lailatul Hoeriah, Dea Nurul Husna, Salsabila Imanika, Agesta Diva Indrakusumah, Muhammad Rafi Ismail, Ridwan Izzulhaq, Azzafa Jahid , Sarah Mohamad Jalil, Asimi Rafsan Jati, Nanda Pramesthi Arum Johan, Asya Ananda Amelia Nadya Kamal, Muhammad Fauzi Syaiful Kasanah, Putri Nur'aini Nur'aini Khalidah, Hanin Izzatul Kuncoro Asih Nugroho Kusrini Laily, Rana Latif, Dovanda Rahmi Maharani, Devinda Putri Maharani, Laras Anindita Maheta Anisa Haqqu Mahfudhoh, Al-Aina Melinda, Zihan Mohamad Jahid, Sarah Mubarokah, Izza Ifada Mufida, Fathiyya Muhammad Rizky Ramadhan Muktafin, Elik Hari Mulia Sulistiyono Munthe, Clara Dwipuan Mutahharah Hasyim, Mutahharah Mutmainna, Mutmainna Nashih, Syahid Ahmad Nathaniela, Raden Roro Nimas Sekar Nafa Ngilmi, Nuril Novita Wulandari Nur'Aini, Latiifa Nuraeni, Intan Nurfitri, Lulu Bintang Nuryaman, Afini Vinnahari Nur’Aini, Latiifah Ocktaviani, Tasya Fitri Oktamaypasha, Rias Pangastuti, Destya Pulung Pangestu, Dimas Aji Pitono, Anindita Putri Canina Pratama, Rodeo Bagus Pri Ariadi Cahya Dinata, Pri Ariadi Cahya Pujianto Pujianto Pujianto Puri, Putri Rose Amanda Purwestri, Tisha Puspitasari, Ayunda Puspitasari, Zufada Putri, Faniya Nur Haryadi Eka Putri, Faradiva Anggraena Putri, Nofita Dewi Rahmah, Arina Alfa Rahmawati, Gabriel Dina Ramadany, Nila Ayu Ramadhani, Motik Mutiara Revalina, Jihan Alya Riki Perdana Rodiansyah, Novan Ruslam, Alam Saharani, Elsa Salsabila, Puti Azka Salsabilla, Sasqia Shafa Sari, Desy Kumala Sari, Mona Sasauw, Dinda Permata Sasikirana, Lituhayu Septiana Rasti, Theresia Adinia Solikhah, Nanda Annisa Sukardiyono Sukardiyono Sukma, Melani Dyah Ayu Syafei, Fikri Ramdani Abdullah Syamsuriwal, Syamsuriwal Syifa, Aliyya Layyinatu Theo Jhoni Hartanto, Theo Jhoni Tri Hapsari, Anggita Dyah Utama, Irna Marga Vania, Aura Ailsa Vuztasari, Hani Wafiq Mujahidul Haqq Wibowo, Muhammad Wahyu Widyaningtyas, Febrina Siska Wihayati, Wihayati Wisnuputri, Amalia Fadhila Wiwith Eskha Ardhanariswari Wulandari, Anggres Wulandari, Wahyu Nur WULANDARI, WIDYA Wulansari, Septi Yusman Wiyatmo Zakhrofa, Azkiya Zihni, Wilda Eka Ibra Zudhan, Aprisya Haafizhu