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All Journal Jurnal Biosains Pascasarjana Indonesian Journal of Tropical and Infectious Disease Dental Journal (Majalah Kedokteran Gigi) Journal of Health (JoH) Emerging Science Journal Journal Of Vocational Health Studies GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Jurnal Pengabdian Magister Pendidikan IPA Indonesian Journal of Electrical Engineering and Computer Science Indonesian Applied Physics Letters Berkala Penelitian Hayati Medika Respati : Jurnal Ilmiah Kesehatan Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat MOSIRAHA : Jurnal Pengabdian Farmasi Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Suryani Dyah Astuti
Departemen Fisika, Fakultas Sains Dan Teknologi, Universitas Airlangga
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Pengaruh Doxxing terhadap Perilaku Cyberbullying: Analisis Gender dalam Perspektif Psikologi Forensik Katili, Rifany Humairah Purnama; Astuti, Suryani Dyah; Artaria, Myrtati Dyah
GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Vol 15, No 3 (2025)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/gdn.v15i3.13767

Abstract

The development of information technology has transformed social interaction patterns through social media platforms, creating digital aggression phenomena such as cyberbullying and doxxing among adolescents. This study analyzes the influence of doxxing on cyberbullying behavior considering gender factors from forensic psychology perspective. Using cross-sectional survey design, data were collected from 577 high school students aged 15-18 years in Gorontalo Province through stratified random sampling. Research instruments included doxxing questionnaire and Cyberbullying in Social Media Scale analyzed using Structural Equation Modeling-Partial Least Square. Results show doxxing significantly influences cyberbullying in both genders with stronger effects in males, though gender moderation was not statistically significant. From forensic psychology perspective, this study contributes to developing integrative models for digital crime scene analysis and recommends intervention protocols addressing doxxing as gateway behavior. 
Peningkatan Pembelajaran Fisika melalui Praktikum Interaktif Kolaboratif di MA Al-Machfudzoh Sidoarjo Jawa Timur Supadi, Supadi; Samian, Samian; Ama, Fadli; Arifianto, Deny; Fitriyah, Nurul; Dyah Astuti, Suryani; Winarno, Winarno
Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 2 (2025): JIPPM - Desember 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jippm.978

Abstract

Fisika merupakan salah satu mata pelajaran yang tidak disukai bahkan menjadi momok bagi pelajar Sekolah Menengah Atas sederajat, salah satunya adalah Madrasah Aliyah Al-Machfudzoh Jabon, Sidoarjo, Jawa Timur. Cara belajar konvensional sering kali tidak memberikan solusi yang komprehensif. Salah satu pendekatan untuk meningkatkan kualitas belajar siswa adalah melalui praktikum interaktif. Oleh karena itu, kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan meningkatkan mutu pembelajaran Fisika di MA Al-Machfudzoh Sidoarjo melalui penerapan praktikum interaktif kolaboratif. Kegiatan dilakukan dengan pendekatan partisipatif antara dosen, guru, dan siswa melalui perancangan dan implementasi dua praktikum: Jembatan Wheatstone dan Difraksi Laser. Evaluasi dilakukan melalui observasi, pengukuran hasil eksperimen, serta kuesioner kepuasan peserta. Hasil kegiatan menunjukkan peningkatan pemahaman konseptual dan keterampilan eksperimen siswa. Hal ini ditunjukkan dengan hasil perhitungan resistansi melalui percobaan jembatan Wheatstone mencapai akurasi 96,37% dibandingkan alat ukur standar. Selain itu, pada percobaan Difraksi Laser hasil menunjukkan pola intensitas sesuai dengan teori difraksi celah tunggal. Seluruh peserta memberikan respons sangat positif terhadap materi, fasilitas, dan pendampingan selama kegiatan PKM. Program PKM ini berdampak pada peningkatan kapasitas guru dan siswa dalam mengelola praktikum serta memperkuat kolaborasi antara Universitas Airlangga dan madrasah Aliyah Al-Machfudzoh.
MRI Cervical Image Analysis with Fat Suppression Techniques Between Sequent Turbo Invers Recovery Magnitude (TIRM) and Fat Saturations (Fat Sat) on Degenerative Disc Disease at Haji Hospital Surabaya Nata, Vita Arinda Ayu Putri; Astuti, Suryani Dyah; Wibowo, R. Arif
Indonesian Applied Physics Letters Vol. 2 No. 1 (2021): Indonesian Applied Physics Letters - June 2021
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v2i1.28301

Abstract

This study aimed to analyze the difference of image information and determine the better image quality between the Turbo Invers Recovery Magnitude (TIRM) and Fat Saturation (Fat Sat) techniques on cervical MRI examination at Haji Hospital Surabaya. The samples of this study were one female and three male patients. The obtained data were ROI of the vertebral body tissue, intervertebral discs, spinal cord, and then calculated as SNR and CNR values. SNR and CNR values were statistically tested using Paired T-Test on SPSS 2.5. The Paired T-Test results showed a significant difference between the TIRM and Fat Sat techniques, p>0.05. SNR and CNR average values also proved that the Fat Sat technique had more optimal image quality than the TIRM technique.
Identification of Stroke with MRI Images Using the Learning Vector Quantization (LVQ) Method Based on Texture Features Purwanti, Endah; Hariono, Lellen Novia; Astuti, Suryani Dyah
Indonesian Applied Physics Letters Vol. 3 No. 2 (2022): Indonesian Applied Physics Letters - December 2022
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v3i2.40958

Abstract

Research on the Identification of Stroke with MRI Imagery Using the Learning Vector Quantization (LVQ) Method Based on Texture Features has been carried out. This study aims to determine the program's best parameters and the highest accuracy level of the stroke identification program. This research was conducted at Haji Sukolilo Hospital - Surabaya by obtaining 57 images of stroke patients and 15 images of regular patients. The study used the intelligence of stroke, tumor, and standard images to determine each category's image characteristics. After knowing the differences in each class, the next process is digital image processing, followed by feature extraction used is the Gray-Level Co-occurrence matrix (GLCM) with four parameters: contrast, correlation, diversity, and homogeneity. These four parameters are the best input parameters with an intelligence rate of 0.100 with a decrease in intelligence rate of 0.100, so the best accuracy value for training is 74.97%, and test data is 78.60%. Regarding the program's ability to correctly identify 11 data from 14 data tested, the program is feasible to be used as a second opinion.
Co-Authors Abd Razak, Nasrul Anuar Abdul Rahman Abror, Ghulam Muhammad Adi Prasetyo Hutomo Agesti, Dyah Ahmad Faizin Alma Ahmad Shofy Mubarak Ahmad Taufiq Mukti Aisya, Rohadatul Aji , Angger Krisna Akhmad Muzamil Akhmad Muzamil Alma, Ahmad Faizin Ama, Fadli Amillia Kartika Sari Amruloh, Yazid Muhammad Andi Hamim Zaidan Anem Alimdam Annisa Mayzealuna Arifa Mustika Arifianto, Deni Arifianto, Deny Ario Imandiri, Ario Bambang Haris Suharmono Betty Purnamasari, Betty Carissa Alfreda Assyarahil David Buntoro Kamandjaja Destiani, Reza Djoni Izak R. Dwi May Lestari, Dwi May Dwi setiani Edith Frederika Puruhito, Edith Frederika Endah Purwanti Farhah, Ghinaa Rihadatul Aisy Franky Arisgraha, Franky Hariono, Lellen Novia Hilmaniyya Hilmaniyya Ika Yuni Anggraini Kadafi, Muhammad Syaekar Katherine Katili, Rifany Humairah Purnama Khusnul Ain Khusnul Ain Khusnul Ain Luthfiyah, Sari M. Zainuddin Moh. Yasin Mohammad Zulkarnaen Muhamad, Alfian Baggraf Myrna Adianti Myrtati Dyah Artaria, Myrtati Dyah Nata, Vita Arinda Ayu Putri Nidaul Fauziah Ni’matuzahroh Nobuo Funabiki, Nobuo Nur Vita Indri Nur Vita Indri Astutik Nurdin, Dezy Zahrotul Istiqomah Nurul Fitriyah Nurul Fitriyah Patmadevi, Maulia Permatasari, Perwira Annissa Dyah Prihartini Widiyanti Purbandini Soeparman, Purbandini Rahmatillah, Akif Ramadhani, Nadia Nur Rania Basalamah Reza Destiani Rini Hamsidi Riries Rulaningtyas Rohman, Muchammad Nurur Rozykulyyeva, Lale Salwa, Umaimah Mitsalia Ummi Samatha, Syifa Candiki Samian Samy Bazher Septriana, Maya Siska Arianti Siswanto Soegianto Soelistiono Suhariningsih Suhariningsih Supadi Supadi Susilo, Yunus Syahrom, Ardiyansyah Syarahiel Hamdani Tri Anggono Prijo Tri Anggono Prijo, Tri Anggono Wibowo, R. Arif Widya Retnaning Puspita WINARNO Winarno Winarno Winarno Winarno, Winarno Yaqubi, Ahmad Khalil Yonatan Zain, Nuril Jannah