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Klasifikasi Citra Emosi Wajah Menggunakan Convolutional Neural Network Untuk Penderita Depresi Hariyanto; Novianti Puspitasari; Anindita Septiarini
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

Facial analysis is widely used as information to determine a person's psychological condition, such as depression. Someone suffering from depression tends to have a face that looks sad, empty, or unhappy. The appearance of a depressed person's face is almost similar to that of someone experiencing sadness. However, facial appearance is not always perceived as depressed, so facial emotion recognition is needed for depression treatment. A Convolutional Neural Network (CNN) is often used in image processing to identify key features and patterns in images, particularly for facial emotion recognition. CNN can be used to learn the relationship between facial shape and related emotions. This study employs the CNN method to classify facial emotions from facial expression images collected from a dataset of 30,724 images. The training process uses seven classes: Angry, Disgust, Fear, Happy, Sad, Surprise, and Neutral. The accuracy results obtained a value of 67% with a training dataset of 21,507 images, a validation dataset of 6,143 images, and a testing dataset of 3,080 images.
PENGARUH METODE MULTISENSORI DALAM MENINGKATKAN KEMAMPUAN MEMBACA PERMULAAN PESERTA DIDIK KELAS II SEKOLAH DASAR Nurkhaliza, Mery; Mega Diana, Siska; Hariyanto; Sowiyah
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 01 (2026): Volume 11 No. 01 Maret 2026
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i01.40558

Abstract

This study was motivated by limited empirical research on the effectiveness of multisensory methods in improving beginning reading skills at the elementary school level. The study aimed to examine the effect of the multisensory (VAKT) method on the beginning reading skills of second-grade elementary school students using a quantitative quasi-experimental nonequivalent control group design. The sample consisted of two classes: Class II B, the experimental group, which received multisensory instruction, and Class II A, the control group, which received conventional instruction. Data were collected through a beginning reading skills test and analyzed using the Wilcoxon Signed-Rank Test, the Mann–Whitney U Test, and N-Gain analysis. The results showed a significant improvement in the experimental group following the implementation of the multisensory method, with high effectiveness as indicated by N-Gain results. Although no statistically significant difference was found between the experimental and control groups, descriptive analysis showed that the multisensory method positively supported students’ learning progress. The study concluded that the multisensory method demonstrated effectiveness in enhancing beginning reading skills within the experimental group and was recommended for elementary reading instruction.
Artificial Intelligence and Ethical Ijtihād in the Production of Islamic Knowledge Eka Sutisna; Habibulloh Muqarrobin; Utami Rizkiyah; Hariyanto; Afriyani Mabruka Azzahro’
Jurnal Lentera Insani Jurnal Lentera Insani (JLI) - Vol. 1 No. 2 (December 2025)
Publisher : Mahkota Science Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65586/jli.v1i2.26

Abstract

Artificial Intelligence challenges the authority of ethical ijtihād in Islam by introducing machines as a new subject of knowledge production, forcing Islamic scholarly traditions to re-examine the boundaries between reason, values, and moral responsibility. The purpose of this study is to identify the epistemological and ethical challenges posed by artificial intelligence, formulate relevant principles of ethical ijtihād, and offer an implementation model for academics, scholars, and technology developers to use as a reference. This study uses a qualitative approach with a conceptual-analytical study design enriched by a critical literature review and reflective-normative analysis. The results confirm that artificial intelligence has transformed from a mere technical device into an epistemic infrastructure that actively influences the way Islamic knowledge is produced, distributed, and interpreted, especially in the context of pluralistic and digitised Muslim societies in Asia. The analysis shows that algorithms, large language models, and digital platforms open essential opportunities to expand access and strengthen religious literacy, but at the same time raise ethical issues such in algorithmic bias, epistemic injustice, the commercialisation of religion, and a shift in spiritual authority. These findings confirm that ethical ijtihād needs to be reconstructed as a reflective framework capable of responding to technological dynamics while remaining grounded in maqāṣid al-sharī‘ah, so that the relationship between humans, technology, and Islamic knowledge does not lose its orientation towards benefit and moral responsibility.
Co-Authors Ade Sobandi, Ade Adit Mohammad Aziz Afriyani Mabruka Azzahro’ Agus Setiadharma Ahmad Fathoni Alamsyah, Hapriyan Aldira Sakty, Agustina Alwi, Sayyid Muhamad Anindita Septiarini, Anindita Arafah, Siti Arief Kurniawan Astutik, Yayuk Setyaning Aziz, Panji B. Surata Baharuddin Paloloang Baharuddin Risyak Betty Gama Chirstina Juliane DARSONO Destini, Frida Deviyanti Pangestu Dewi Liesnoor Setyowati Dewi, Jennifer Felda Dilla Fusfita Sari Dwipa Handayani Dwiyono Putranto Eges Triwahyuni Eka Sutisna Elitaria Bestri Agustina Siregar Eoh, Tiffany Aimee P Evi Ratnasari Fadhilah Khairani Fahrudin Hanafi Fathur Rohman, Fathur Fathurrozi, Ahmad Fauzan Adhim Febriawati, Rizqiana Nur Figana, Dian Firdaus, Ifan Berlian Gani, Anezka Raphael Ginting, Manan Habibulloh Muqarrobin Hamizar, Hamizar HEPNI herpratiwi Ichwanul Muslim Karo Karo Ilmi, Fauziah Ismatul Maula Jenica Noor Lasmaji Junaidi Junaidi Karo karo, Justaman Arifin Khadafi Al Hasny Kustanto , Prio Lexis Vrisco Arafly Lilik Nur Susilowati Livia Jovanny Aswirta Maria Natalisa Marini Marini . Mega Diana, Siska Meidina, Ahmad Rezy Michael Hadjaat Miftahul Falah Minarni Manoppo Moh. Syadidul Itqan Muhaimin, Abd Muhamad Rusdi Muhammad Munir Sajali Harahap Muhammad Wasil Muhisom Mutmainnah Nabila, Nila Amalia Nawafil, Moh. Nelly Astuti Ngadat Ngadat Nigel, Gabriel Nisa, Fauziah Sholikhatun Noeman, Achmad Nonon Saribanon Novianti Puspitasari Nurachman, Muhammad Thifal Nurhidayat, Hikmat Nurkhaliza, Mery Nuryaman Oman Sukmana Pangesti, Ayendha Kukuh Pangesti, Kartika Puji Pascalian Hadi Pradana Pratama, Dias Putra Prayitno Prayogi, Sydney Siloam Prio Pamungkas, R Wisnu Putra, Fierman Pradityo Utama Putra, Njo Fransiscus Xaverius Anditya Ciptadi Qibthiyah, Mariyatul Rafianto Pambudi Rilla Agustina Robati, Kisti Rofik Rosita Ferdiyana Sabarani, Salsabila Sapta Wira Udaya Saputra, Ade Jaya Saputro, Ardean Rio Sari, Dilla Fusfita Shofiyullah Muzammil Sholikhatun Nisa, Fauziah Siddiq, Achmad SITI AMINAH Sowiyah Sowiyah Sri Suprapti3 Sriyanto Sugeng Wibowo Suharmadi Sanjaya Suharno Sukayasa Sulis Setiowati Supriyadi, Dedi Susanti, Pipit Aprilia Susilawati, Agnes Dwita Sutama Syafrudin, Ulwan Tatang Mitra Setia Triwahyuni, Eges Utami Rizkiyah walyono Widiarti Lestariningsih Winda Rachmawati Yulia Maftuhah Hidayati Yuliyanti, Karuna Yunianto ZANNATI, RISMA NELLA