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All Journal MEDIA KOMUNIKASI TEKNIK SIPIL Magisma: Jurnal Ilmiah Ekonomi dan Bisnis Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Media Aplikom Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Cakrawala Informasi (JCI) Jurnal Pengabdian Teknik dan Ilmu Komputer (PETIK) International Journal of Economics and Management Research Jurnal Ilmiah Ekonomika & Sains Jurnal Pengabdian Kepada Masyarakat Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Community: Jurnal Pengabdian Pada Masyarakat Jurnal Ekonomi Manajemen Akuntansi Jurnal Penelitian Sistem Informasi Jurnal Informasi Pengabdian Masyarakat Science Technology and Management Journal (STMJ) Green Economics: International Journal of Islamic and Economic Education International Journal of Economics and Management Research Proceeding of The International Conference on Electrical Engineering and Informatics ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat Big Data Analytics and Data Science
Andreas Tigor Oktaga, Andreas
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Peran Logo Sebagai Simbol Identitas, Kreativitas, dan Penunjang Online Marketing UMKM Batik Mangklek Andreas Tigor Oktaga; Prihati Prihati; Aji Priyambodo; Kristiawan Nurdianto; Martinus Apun Heses
ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat Vol. 3 No. 2 (2025): Jurnal Pengabdian dan Kemitraan Masyarakat (ALKHIDMAH)
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/alkhidmah.v3i2.1241

Abstract

Batik Mangklek MSME, located in Margosari Village, Kendal Regency, faces challenges in strengthening its visual identity and branding. These MSMEs need a logo design as a symbol of identity that can increase the attractiveness and differentiate the products in the market, especially in supporting online marketing. The objective of this activity is to design a logo that represents the cultural values and creativity of Batik Mangklek, which is expected to support their digital marketing strategy. The logo creation process involved surveys, interviews, and research on design trends and logo philosophies that match the characteristics of local batik. As a result, the logo successfully combines elements of local culture and creativity, with a philosophy that reflects the character of Batik Mangklek. The logo was handed over to Batik Mangklek MSMEs, along with usage guidelines on online promotional media and product packaging. In conclusion, the creation of this logo has a positive impact on strengthening the visual identity of Batik Mangklek MSMEs and increasing the effectiveness of digital marketing strategies, so that their products are more easily recognized and demanded by consumers.
Evaluating Explainable Artificial Intelligence Methods for Interpretable Machine Learning Models in Large Scale Enterprise Data Analytics Systems Indra Ava Dianta; Greget Widhiati; Andreas Tigor Oktaga
Big Data Analytics and Data Science Vol. 1 No. 1 (2026): March: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i1.19

Abstract

Explainable Artificial Intelligence (XAI) has become a critical area of research within artificial intelligence, focusing on improving the transparency and interpretability of machine learning (ML) models, often referred to as "black-box" models. The need for XAI techniques arises from the inherent complexity of ML models, which can make their decision-making processes difficult for users to understand. This study investigates various XAI techniques, including LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations), to assess their impact on model interpretability without significantly compromising predictive performance. A comparative experimental design was used, applying these XAI methods to different ML models, including deep neural networks and ensemble methods, within large-scale enterprise data analytics systems. The results indicate that XAI methods significantly enhance model transparency and decision traceability, allowing users to understand the influence of individual features on predictions. While a slight reduction in predictive accuracy was observed, especially with simpler models, the trade-off between interpretability and performance was deemed acceptable, particularly in fields requiring transparency, such as healthcare, finance, and autonomous systems. The use of XAI in enterprise data systems has practical implications for fostering trust and enabling informed decision-making among stakeholders. Furthermore, the study discusses the challenges and limitations of applying XAI techniques, such as complexity, scalability, and model-specific limitations. Future research is suggested to focus on developing more scalable and efficient XAI methods, enhancing their applicability across various model types, and addressing the challenges of real-time applications. This will be crucial in ensuring the widespread adoption of XAI in critical domains, promoting the ethical use of AI while maintaining predictive accuracy.
Co-Authors Aditya Eka Widyantoro Adji Seputro Agus Ariawan Aji Priyambodo Aji Priyambodo Andreas Heri Kurniawan Anggun Putri Dwi Meilina Bambang Widjanarko Susilo bunga aditi Bunga Aditi Chevy Herli Sumerli Dheavita Reza Artamevia Frans Sudirjo Galuh Aditya Galuh Aditya Gede Mandirta Tama Greget Widhiati Gulrukh Tukhlieva Heluy Tiana Rosa Heru Yulianto Heses, Martinus Apun I Nyoman Tri Sutaguna Ida Ayu Gede Danika Esa Pradnyani Ika Susanti Ika Susanti Ika Susanti Indra Ava Dianta Kasidi Kristiawan Nurdianto Kristiawan Nurdianto Kristiawan Nurdianto Kristiawan Nurdianto Lavenia Permata Sari Permata Sari Made Konny Koswara Marsiska Ariesta Putri Martinus Apun Heses Martinus Apun Heses Martius Apun Heses Martius Apun Heses Nanik Qosidah Nurdiyanto, Ahmad Dwi Nyoman Sri Padmini Permata Sari, Lavenia Permata Sari Prihati Prihati . Prihati Prihati Prihati Prihati Prihati Prihati Priyo Nugroho Adi Priyo Nugroho Adi Priyo Wibowo Ristanto, Hesti Riyono Rutna Anggaraeni S. Suripin Siska Narulita Suseno Darsono Susilo Adi Umi Fadlilah Hidayanti Widhy Setyowati Yoki Nawan Gunara