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All Journal Information System for Educators and Professionals : Journal of Information System KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal Teknologi Informasi dan Multimedia Jurnal Accounting Information System (AIMS) INFORMATIKA INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Jurnal Accounting Information System (AIMS)
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Optimalisasi Layanan Kesehatan di Puskesmas Melalui Pengembangan Chatbot Berbasis Web Menggunakan Flowise AI Mulyawan Mulyawan; Raditya Danar Dana; Agus Bahtiar; Irfan Ali
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.617

Abstract

The development of a web-based chatbot service for Puskesmas presents a potential solution to improve the accessibility and efficiency of healthcare services. This research uses Flowise AI, a chatbot development platform that leverages machine learning technology to support dynamic information processing and provide accurate and relevant responses to users. Flowise AI is integrated with Langchain Retriever to further enhance dynamic information processing, ensuring accurate and relevant responses to users. Using the Rapid Application Development (RAD) methodology, the chatbot development follows a fast-paced cycle, enabling early prototyping and continuous user feedback. The chatbot is tested using Black Box Testing to verify functionality and System Usability Scale (SUS) to evaluate usability. The test results show that the chatbot is able to provide accurate responses to patient queries, especially on relevant health topics, with an SUS score of 75, which falls within the "good" category. This score reflects that the chatbot is easy to use and acceptable to users. This technology allows the chatbot to provide more accurate, relevant, and contextual responses to patient inquiries, while dynamically accessing information from various sources, thereby improving the efficiency and effectiveness of healthcare services.
Pemberdayaan Wirausaha Melalui Rancangan Ekosistem Bisnis Berbasis Platform Digital Martanto; Mulyawan; Arif Budi Setiawan; Betran Renaldi
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 : April (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, small, and medium enterprises (MSMEs) play a vital role in the economy but often face challenges in developing their businesses in the digital era. This Community Partnership Program aims to empower entrepreneurs through the design of a business ecosystem based on digital platforms. The activities include situational analysis of partner MSMEs, designing a suitable business ecosystem model, training on the utilization of digital platforms for various business aspects (marketing, operations, and management), and assistance in implementing the designed ecosystem. It is expected that, through this program, partner MSMEs can improve efficiency, expand market reach, enhance customer interaction, and ultimately achieve sustainable business growth through the utilization of an integrated digital ecosystem.
Pelatihan Pola Dan Segmentasi Citra Bagi Dosen Kopertip Indonesia Untuk Mendukung Penelitian Multidisiplin Mulyawan; Nana Suarna; Gildan Jaya Muhammad Ramadhan; Muhammad Alfian Nur Rahmat
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 : April (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Pattern recognition and image segmentation are visual data analysis techniques with broad applications in various research fields. This Community Service Program aims to provide training on pattern recognition and image segmentation for lecturers of Kopertip Indonesia. This training seeks to enhance lecturers' understanding and ability to apply these techniques as tools to support multidisciplinary research. The training material includes the fundamentals of image processing, various pattern recognition methods, image segmentation algorithms, and case studies of applications in cross-disciplinary research contexts. It is hoped that this activity can encourage the improvement of quality and interdisciplinary research collaboration within Kopertip Indonesia.
Pendampingan Pembukuan Sederhana Untuk Pedagang Pasar Tradisional Mulyawan; Khaerul Anam; Abdul Muhyi; Achmad Fajar
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Traditional market vendors play a vital role in supporting local economies and contribute significantly to community economic activities. However, most of them have not implemented proper bookkeeping systems, resulting in difficulties in managing cash flow, calculating profits, and accessing formal financial services. This program aims to provide simple bookkeeping assistance to traditional market traders to help them gain basic financial record-keeping skills. The program involved initial observation, development of a simple bookkeeping module, in-person training sessions, and hands-on assistance in daily financial recording. The bookkeeping system was tailored to the needs of small-scale businesses, covering records of income, expenses, and profit-loss, using notebooks and easy-to-understand paper forms. The results indicated an increased awareness among traders about the importance of financial documentation and their ability to independently create basic financial reports. Additionally, some vendors expressed interest in saving and accessing banking services as part of improved financial management. This initiative had a positive impact on enhancing the financial literacy of traditional traders and encouraged the development of a more organized business administration culture. In the future, such mentoring programs are expected to continue periodically and evolve toward the digitalization of simple bookkeeping systems via mobile applications.
Pengelolaan Sampah Berbasis Teknologi Informasi untuk Masyarakat Perkotaan Mulyawan; Khaerul Anam; Daffa Ezra Pratama; Dini Andriyani
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Urban waste management faces significant challenges due to the increasing volume of waste, inadequate infrastructure, low public awareness, and limited use of technology. This community service program aims to develop an information technology-based solution to create a more efficient, environmentally friendly, and community-engaged waste management system. Through the development of a mobile application, residents can report waste conditions in real-time, monitor waste sorting, and access waste collection schedules. The program also includes community training, provision of waste sorting facilities, and educational campaigns to raise environmental awareness. The implementation has shown significant improvements in public participation in waste sorting, reduction in the volume of waste sent to landfills, and overall improvement in environmental quality. Furthermore, this initiative contributes to human resource empowerment through training in technology use and waste management. The success of this program demonstrates that integrating information technology with public education can be an effective solution to urban waste management challenges.
ADAPTIVE CLASS WEIGHTING DAN AUGMENTATION UNTUK KLASIFIKASI BATIK KERATON Witriyani Witriyani; Dian Ade Kurnia; Yudhistira Arie Wijaya; Mulyawan Mulyawan; Irfan Ali
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1516

Abstract

This study aims to improve the performance of Batik Keraton motif classification on an imbalanced dataset through the integration of adaptive class weighting and data augmentation within a transfer learning framework. The dataset consists of 1,799 images across four classes (Kawung, Mega Mendung, Parang, Truntum), preprocessed to 224×224 pixels and split stratifiedly into training, validation, and test sets (80/10/10). Three transfer learning architectures—ResNet50V2, VGG16, and EfficientNetB0—were evaluated with adaptive class weighting and geometric augmentation to enhance minority-class representation. The results indicate that ResNet50V2 with pretrained weights achieved the best performance, reaching a test accuracy of 92.78%, macro precision of 93.13%, macro recall of 92.79%, and a macro F1-score of 92.83%. Adaptive class weighting improved sensitivity toward minority classes, while augmentation contributed to model stability and generalization. These findings demonstrate that combining adaptive weighting and augmentation effectively enhances Batik Keraton motif classification under imbalanced data conditions.  
Co-Authors Abdul Muhyi Achmad Fajar Ade Rizki Rinaldi Arif Budi Setiawan Betran Renaldi Cep Lukman Rohmat Daffa Ezra Pratama Dian Ade Kurnia Dini Andriyani Dwi Teguh Afandi Edi Wahyudin Gildan Jaya Muhammad Ramadhan Hilman Rifa'i Iin Irfan Ali Kaslani Khaerul Anam Martanto . Muhammad Alfian Nur Rahmat Nana Suarna Nanda Satria Halim Pratama Narasati, Riri Narasati Nining Rahaningsih Nisa Dieanwati Nuris Nisa Dienwati Nuris Raditya Danar Dana Ryan Hamonangan Sandy Eka Permana Shalsa Fadillah Rahmadenta Syarif Maulana Yaasin Tati Suprapti Umi Hayati Utami Aryanti Witriyani Witriyani Yudhistira Arie Wijaya