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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Elektro Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Faktor Exacta Indonesian Journal of Information System Martabe : Jurnal Pengabdian Kepada Masyarakat Jiko (Jurnal Informatika dan komputer) SENSITEK International Journal of Business Studies Aiti: Jurnal Teknologi Informasi SKANIKA: Sistem Komputer dan Teknik Informatika Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Algoritma Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Systems Engineering and Information Technology Telematika MKOM Jurnal Pengabdian Masyarakat Tekno Indonesian Journal of Emerging Trends in Community Empowerment
Imelda, Imelda
Universitas Budi Luhur
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Edukasi Minat Bakat dalam Bijak Bermedia Sosial di SDN Pakujaya 02 Imelda Imelda
Indonesian Journal of Emerging Trends in Community Empowerment Vol. 3 No. 1 (2025): Juni
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/ijetce.v3i1.92

Abstract

Many children are hesitant to speak in front of an audience. Children tend to follow what happens in their surroundings because they feel unable to recognize their interests and talents. This tendency causes children to give up easily and not fully maximize their self-exploration. In the digital era, social media can be a means to explore themselves. However, social media hurts children's cognitive, social, and emotional development without proper guidance and education. The purpose of this activity is to create a creative educational space by using social media to recognize the interests and talents of students at SDN Pakujaya 02 Banten. The technique used is to convey education on how to utilize social media wisely, incorporating persuasive and creative public speaking. The results of this activity can encourage learning motivation, recognize interests and talents, increase self-confidence in public appearances, and foster digital awareness from an early age. The high enthusiasm for this activity demonstrates that children are highly motivated to recognize their interests and talents and are increasingly confident in exploring them through social media.
Recognition of Toraja Carving Motifs Using Texture Features with GLCM Imelda Imelda; Gunawan Pria Utama; Asep Cahyana
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 4 (2025): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111590

Abstract

Indonesia comprises a diverse array of ethnic groups and cultures. Each ethnic group has unique carving motifs rich in philosophical meaning. Toraja motifs are among the most distinctive in the world. These motifs are often found in traditional houses, textiles, and architectural ornaments. However, people's understanding of the symbolic value of these carvings remains limited, thereby risking cultural erosion. This study aims to recognize Toraja carving motifs using digital image processing, specifically through the extraction of Gray Level Co-occurrence Matrix (GLCM) texture features, which include contrast, correlation, energy, and homogeneity at 0° orientation. The Toraja carving dataset was processed through preprocessing, feature extraction, and thresholding-based classification stages. This study contributes to the combination of GLCM and thresholding that can improve accuracy while providing a computationally efficient solution for traditional motif pattern recognition. Experimental results show that thresholds of 0.002 and 0.004 produce recognition accuracies of 100% and 82%, respectively.
Co-Authors Adam Syahputra Cristanto Agung Setia Pambudi Agus Harjoko Aina Azalea Ardani Alfian Firdaus Ammanda Putri Nurhalizah Amran Swandy Simamora Anastasya Putri Christanty Arief Rais Bahtiar Arief Ramdhan Kurnianto Arief Zikry Asep Cahyana Basuki Hari Prasetyo Budi Rahman Cahyana, Asep Cristanto, Adam Syahputra Desril Fatra Aditama Dewi Kobi Dewi Puspaningtyas Dwi Prianto Ekie Revsie Akbar Farhan Muhammad Naufal Fifit Alfiah Frederick Alexander Goenawan Brotosaputro Grace Gata, Grace Gunawan Danar Joyo Gunawan Pria Utama Ilham Nur Ramdani Indah Rahayu Lestari M. Alfansyah Harahap Muhammad Baso Adrian Ibrahim Muhammad Rifki Mulyati Mulyati Murtani Murtani Nawiroh Vera Qodariah Qodariah Ratih Puspaningtias Faeni Retno Fuji Oktaviani Rinny Meidiyustiani Rizky Ardiansyah Rizky Saleh Selamet Riyadi Setyani Dwi Lestari Silvester Rian Ananta Siswanto, Siswanto Suratno, Geri Syahputra Darmawan Tenia Wahyuningrum Teotino Gomes Soares Try Mulyoto Umaimah Wahid Wendi Usino Yogi Angga Putra Yuliazmi, Yuliazmi