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All Journal Ganendra: Majalah IPTEK Nuklir Jurnal Penelitian Pascapanen Pertanian Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir Journal of Information System MEDI KONS: Jurnal Prodi Bimbingan dan Konseling UNISRI Surakarta PENDIPA Journal of Science Education Indonesian Journal for Health Sciences (IJHS) Majalah Ilmiah Bahari Jogja Journal Civics and Social Studies Journal of Midwifery Care Edupedia: Jurnal Studi Pendidikan dan Pedagogi Islam Atthufulah : Jurnal Pendidikan Anak Usia Dini Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Jurnal Rumpun Ilmu Kesehatan Jurnal Sains dan Kesehatan Madani : Jurnal Pengabdian Kepada Masyarakat Jurnal Riset Manajemen Jurnal Riset Rumpun Ilmu Sosial, Politik dan Humaniora (JURRISH) Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Wissen: Jurnal Ilmu Sosial dan Humaniora SEMINAR NASIONAL SOSIAL, SAINS, PENDIDIKAN, HUMANIORA Prosiding Seminar Nasional Ilmu Teknik
Suyanti Suyanti
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Transportation Other

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Klasifikasi Tumor Otak pada Citra MRI Menggunakan Transfer Learning EfficientNetB1 dan Visualisasi Grad-CAM Suyanti Suyanti; Chandy Ophelia S; Lies Aryani; Prayitno Prayitno
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.112

Abstract

Magnetic resonance imaging (MRI) provides rich anatomical contrast for brain tumor assessment, yet routine interpretation remains time-intensive and demands high precision. This work develops a pipeline for four-class brain MRI image classification (glioma, meningioma, pituitary tumor, and no tumor) by combining automated brain-region cropping, data augmentation, and transfer learning with EfficientNetB1. Experimental results demonstrate exceptional performance, achieving an overall accuracy of 0.99 (99%) on the test set. Specifically, the model reached an F1-score of 1.00 for the no tumor class, 0.99 for pituitary, and 0.98 for both glioma and meningioma classes. Beyond reporting numerical performance, the study utilizes Grad-CAM heatmaps to verify that predictions rely on clinically plausible regions rather than spurious background cues. These results indicate that an efficiency-oriented backbone, paired with systematic preprocessing, can achieve reliable and interpretable performance for brain tumor classification tasks.
HUBUNGAN ANTARA PENERIMAAN DIRI DAN DUKUNGAN SOSIAL ORANG TUA ANAK AUTIS DENGAN INTERAKSI SOSIAL ANAK AUTIS suyanti suyanti; Kurniyatul Faizah
Edupedia : Jurnal Studi Pendidikan dan Pedagogi Islam Vol. 3 No. 2 (2019): Edupedia: Jurnal Studi Pendidikan dan Pedagogi Islam
Publisher : Fakultas Tarbiyah, Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (793.165 KB) | DOI: 10.35316/edupedia.v3i2.246

Abstract

This study aims to determine how much influence social acceptance and support for parents of autistic children with social interaction of children with autism. The population is 30 parents of autistic children and the closestpeople who attend in PAUD Inklusi Anggrek MandiriSitubondo and the sample is the whole of the population of some 30 people. This study is correlational; the subject is determined by purposive sampling technique. Results of the study showed that the regression analysis coefficient on F = 17.839, p = 0.000 (p <0.05) so that there is a significant relationship between self-acceptance and social support for parents of autistic children with social l interactionautistic children is received. Partially there is a significant correlation between self-acceptance with social interaction shown by prices at t = 5.018, p = 0.000, so the hypothesis is accepted. In parsal also shown at t = 1.613 p = 0.118 (p> 0.05), so the research hypothesis that says there is a relationship of social support with social interaction rejected. So overall derived price Sguare R = 0.569 which shows variable acceptance of self and social support contributed 56.9% effective this further strengthensacceptance your self parents with autistic children and social support autistic children associated with autistic children social interaction. So H0 rejected, which means acceptance of self and relationship betweensocial parents support correlated with sociall interactionautistic children.
Co-Authors Abdul Rahim Abdullah bin Arif Agus Siswanto Andang Sudarmono Budhi Martana Cahya Purnomo Cemy Nur Fitria Chandy Ophelia S Dimas Agil Permadi Dwi Junita Dwiretnani Sudjoko Fachruddin Fachruddin Fitria, Choryn Heny Herawati Heny Kusuma Widyaningrum Hozeiningsih Hozeiningsih Irpan Badrul Jamal Iswari, Miranti Florencia Jayawarsa, A.A. Ketut Karunia Wahyu Putri Sejati Kiki Anggraeni Kurniyatul Faizah Lailatul Islamiyah Lia Natalia Lies Aryani M. Rossy Rachasiwi Maria Veronica Purwani Maria Veronica Purwani Marwan Riki Ginanjar Naufal Annasy Ninik Indriastutik Nita Rosita Nuriyati Wijarni Nuriyati Wijarni Prayitno Prayitno Pria Nurbian Purnama, Benni Putu Sulastri Rabiatun Islamiah Setyadjit Setyadjit Siti Raudatul Jannah Sugianto Sugianto Suhadi Suhadi Sulastri Sulastri Vira Aryana Teruruano Malengga Yulia Arvita Yulia Tutuik Nurfia