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Pemberdayaan Pembatik Lokal melalui Pendampingan Desain Batik Digital Menggunakan Aplikasi Ambatig Kartika, Dinda; Niska, Debi Yandra; Misgiya, Misgiya; Nasution, Hamidah; Febrian, Didi; Habibi, Rizki; Saputra S, Kana; Atmojo, Wahyu Tri
Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): Edisi Maret 2026
Publisher : FKIP Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/amalilmiah.v7i1.602

Abstract

Program pengabdian ini bertujuan meningkatkan kapasitas perajin batik melalui pendampingan desain batik digital menggunakan aplikasi Ambatig untuk mempercepat perancangan dan menata konsistensi pengulangan motif tanpa menghilangkan identitas Batak–Melayu. Kegiatan dilaksanakan selama empat minggu melalui sosialisasi, pelatihan, penerapan teknologi, dan pendampingan dengan pemanfaatan pengaturan pola frieze (satu arah) dan kristalografi (dua arah). Evaluasi melibatkan 15 peserta menggunakan angket skala Likert pada lima poin serta observasi terhadap durasi pradesain, jumlah varian desain, dan kesalahan sambungan pola. Hasil menunjukkan rerata kepuasan peserta di atas skor 4 dengan sekitar 80% respons positif, terutama pada aspek kesesuaian gaya visual (4,5) dan kemudahan dipelajari (4,3). Secara operasional, waktu pradesain berkurang dari sekitar 90 menit menjadi 40–50 menit per varian, peserta mampu menghasilkan 2–3 varian desain dalam 90 menit, dan kesalahan sambungan pola berkurang. Program ini juga menghasilkan portofolio desain digital berisi parameter siap produksi. Dengan demikian, pemanfaatan Ambatig efektif meningkatkan efisiensi dan kerapian perancangan motif batik serta mendukung pelestarian dan keberlanjutan motif Batak–Melayu melalui dokumentasi digital dan penguatan kapasitas perajin lokal.
English English Sari, Sri Adelila; Jasmidi, Jasmidi; Rahmah, Siti; Saputra S, Kana; Tartiyoso, Seget; Suseno, Bambang; Kurniawan, Catur; Ulfa, Nadya; Fadhillah, Mhd.; Ramadhan, Sahrul
Amaliah: Jurnal Pengabdian Kepada Masyarakat Vol 8 No 1 (2024): Amaliah: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPI UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v8i1.2861

Abstract

The revitalization of the SMK curriculum projects serves that students are not only ready to work but also be able to create jobs through entrepreneurship. SMK Students are provided additional hours of entrepreneurship coursework in order to foster creativity, innovation, and an entrepreneurial mindset among students. Furthermore, students are also required to possess a social entrepreneurial mindset, which encompasses a business development perspective that takes into account social, economic, environmental, and health factors. In this program, students are given training in making soap from used cooking oil. Used cooking oil is a waste that has promising business prospects. Appropriate processing of used cooking oil can yield valuable products that satisfy the needs of the community. As a result of this training, up to 97% of students have acquired greater understanding regarding the hazards and advantages associated with used cooking oil. Students possess advanced skills in producing soap products using used cooking oil. Furthermore, students develop a greater awareness regarding health and the environment.
Optimalisasi Program Magang untuk Meningkatkan Kreativitas dan Inovasi Mahasiswa Tiur Malasari Siregar; Fajar Apollo Sinaga; Taufiq Ramadhan; Kana Saputra; Elfitra Elfitra; Yul Ifda Tanjung; Tangsi Tangsi
SAP (Susunan Artikel Pendidikan) Vol. 10 No. 3 (2026): SAP
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/sap.v10i3.696

Abstract

creativity and innovation so that graduates are better prepared to compete in the job market. This study aims to evaluate the effectiveness of the internship program at Medan State University and develop optimization strategies that focus on enhancing student creativity and innovation. This study was conducted using a mixed-method approach, namely a qualitative approach through interviews with students and industry representatives and observation. The quantitative approach through surveys and tests of student performance in the internship program. The research subjects included students and several partner companies where students underwent internships. The results showed that students involved in the internship program with an innovative project-based approach had higher levels of creativity compared to students who only carried out administrative tasks. Factors contributing to the program's success included the involvement of industry mentors, the integration of a problem-solving-based curriculum, and support facilities that foster innovation. The novelty of this research lies in the development of a creativity- and innovation-based internship program optimization model, which has not yet been widely implemented in Indonesian universities. This contributes to academic policy by improving the effectiveness of internship programs and strengthening university-industry collaborations to produce graduates better prepared to compete in the digital age.
Eye Disease Classification System Based on Fundus Images Using the InceptionV3 Architecture Annisa Aulia; Hermawan Syahputra; Yulita Molliq Rangkuti; Insan Taufik; Kana Saputra S
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2263

Abstract

This study aims to develop an automated eye disease classification system based on retinal fundus images using the InceptionV3 deep learning architecture. The dataset consists of four classes: cataract, diabetic retinopathy, glaucoma, and normal, collected from public sources and clinical data. The proposed method applies several preprocessing techniques, including background segmentation, data augmentation, data normalization, and an 80:20 data split to improve model performance and generalization. Transfer learning is implemented by utilizing pretrained ImageNet weights and modifying the final layers to suit the classification task. The model is trained using the Adam optimizer with a learning rate of 0.001 and categorical cross-entropy loss function. Evaluation results show that the model achieves an accuracy of 96%, with average precision, recall, and F1-score values of 0.97, 0.96, and 0.97, respectively. The confusion matrix analysis indicates that most predictions are correctly classified, demonstrating strong performance across all classes. Furthermore, the model is successfully integrated into a web-based system that enables users to upload fundus images and obtain classification results automatically. These findings indicate that the proposed system can effectively assist in early detection of eye diseases and support clinical decision-making.
Co-Authors Adidtya Perdana, Adidtya Advis Ambrosius Sitohang, Yuda Afif Nashi Ulwan, Mhd Agus Buono Agus Kembaren Agus Waruwu, Stefen Al-Areef, M. Hafizh Alfattah Atalarais Alfin, Muhammad Amanda Fitria Amelia Br Siregar, Ririn Ananda Hafika, Rizky anastasya, disty Anggi Tasari Annisa Aulia Anti Nada Nafisa Arnita Azizi, Nur Azqal Azkia Bambang Suseno Budi Akbar, Muhammad Bush Henrydunan, John Chairunisah Chairunisah, Chairunisah citra, Citra Dewan Dinata Tarigan DIdi Febrian Dinda Farahdilla Dharma Dinda Kartika Eka Nainggolan, Rinay Elfitra Elfitra Erika Nia Devina Br Purba Fachry Abda El Rahman Fadhilah, Nazifatul Fadhillah, Mhd. Fahri Aulia Alfarisi Harahap Fajar Harahap, Muhammad Fajar Muharram Fajar Muharram Farhan Ramadhan, Haikal Fevi Rahmawati Suwanto Fitrahuda Aulia Fitri Aulia Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Habibi, Rizki Hafiz Harahap, Fauzan Hafiz, Alvin Haikal Al Majid, Muhammad Halimatun Nisa Harahap, Muhammad Abarorya Hasibuan, Hanisah Hermawan Syahputra Hutagalung, Arif qaedi Ida Ayu Putu Sri Widnyani Ihsan Zulfahmi Ilyasyah Drilanang, Mhd Imam Ahmad Impana Manik, Kristin Indriani, Dechy Deswita Insan Taufik Irham Ramadhani Irya Shakila Syukron, Ananda Jasmidi Jasmidi Jeremia Manurung Josafat Simanjutak, Todo Jufita Sari Sitorus Karimuddin Hakim Hasibuan Khonofi, Khoidir Khusnul Arifin Khusnul Arifin Kurniawan, Catur Latifah Hasibuan, Najwa Lidia Pebrianti Lubis, Afiq Alghazali Luge, Miclyael Maharani, Raysa Malik Fajri, Maulana MANSUR AS Manurung, Jeremia Mhd Hidayat Mhd Hidayat Misgiya, Misgiya Mochammad Iswan Mochammad Iswan Perangin-Angin Mochammad Iswan Perangin-Angin Mohammed Hafizh Al-Areef Muhammad Affandes Muhammad Ardiansyah Muhammad Badzlan Darari Muhammad Usman Muslim Sinaga, Rizal Nadilla Putri, Rezkya Nasution, Hamidah . Neltriana Syafira Niska, Debi Yandra Nugraha, Zidan Indra Nur Hairiyah Harahap Nurul Adawiyah Putri Pane, Yeremia Yosefan Parapak, R Putri Angela Pinem, Josua Pittauli Ambarita Pizaini Pizaini Prana Walidin, Adamsyach Pratama, Ega Purwanto Putri, Alsya Adelia Putri, Rezkya Nadilla Raffi Akbar Tjg, Muhammad Raiyan Fairozi Ramadhan Manik, Albert Ramadhan, Sahrul Ramadhan, Taufiq Ramadhani, S.Pd., M.Pd, Irham Ratna Sari Dewi Reo Rizki Ananda Rifqi Maulana, Muhammad Rifqi Naufal, Muhammad Rizki Alfahri , Muhammad Ronaldo Mardianson Sinaga Rosyid Fauzan, Muhammad Ryan Ananda Nolly Said . Iskandar Sanjaya, Aditia Sanusi Sasalia S, Putri Setiawan, Abi Simanjorang, Rio Givent A Siregar, Angginy Akhirunnisa Siregar, Mochammad Gani Alfa Alkhoiri Siringoringo, Andi Roi Berlian Siti Rahmah Sitompul, Sigun Putra Hasian Sri Adelila Sari Sri Dewi Sri Wahyuni Suci Frisnoiry Syahri, Alfin Syarifuddin Syarifuddin Syawali, Yusfi Talib, Corrienna Abdul Tangsi Tangsi Tartiyoso, Seget Taufiq Ramadhan Tiur Malasari Siregar Tiur Malasari Siregar, Tiur Malasari Tuti Hardianti Ulfa, Nadya Valentino, Nicholas Wahyu Tri Atmojo Wahyudi, Rizky Wisnu Ananta Kusuma Yanthy Leonita Perdana Simanjuntak Yazid Noor, Muhammad Yoakim Telaumbanua, Louders yola, beby Yul Ifda Tanjung Yulita Molliq Rangkuti Yulita Molliq Rangkuti Yulita Molliq Rangkuti Zaharani, Firna Zai, Samuel Anaya Putra Zulfahmi Indra, Zulfahmi Zulfahrizan, Atta