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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Transformatika JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Ilmiah Pendidikan dan Pembelajaran Community Development Journal: Jurnal Pengabdian Masyarakat Information Science and Library LOSARI: Jurnal Pengabdian Kepada Masyarakat Journal Of Human And Education (JAHE) Journal of Data Insights Journal of Islamic Science Community Journal of Learning on History and Social Sciences Journal of Computing and Smart Ecosystems
Amri, Saeful
Universitas Muhammadiyah Semarang
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Implementasi Sistem Rekomendasi Mitigasi Layanan Sertifikasi Produk Halal Berbasis Blockchain pada LP UMKM Muhammadiyah Kota Semarang Amri, Saeful; M. Al Haris; Purnomo Putro, Dwi; Mandala Adikara Sencoko
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2025): Desember 2025
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v7i2.521

Abstract

The Muhammadiyah Regional Leadership (PDM) of Semarang City has an MSME Development Institute (LP). This institution has a specific mission in developing MSMEs in growing, mobilizing, improving and empowering the potential of MSMEs in the national and global business arena. This community service activity is to implement a distributed system to develop the creative industry and encourage entrepreneurship in the field of digital technology and innovation and can increase responsible consumption and production in terms of halal consumer products for Muhammadiyah MSMEs in Semarang City. This activity includes socialization, training on system operation, implementation, mentoring and monitoring. The results show that the implementation of the system can document the data of MSMEs well by 75%, halal product certification for MSMEs increased by 80%, and skills in operating the system are increasing, based on the satisfaction level reaching 91% after the activity. This program proves that utilizing technology can provide convenience in verifying data for the halal certification process and increase security and reduce the risk of data loss.
ANALYSIS OF THE THINKING PROCESS OF GRADE XI STUDENTS IN SOLVING MATHEMATICS PROBLEMS REVIEWED FROM THE EXTROVERT AND INTROVERTED PERSONALITIES OF STUDENTS OF SMK PGRI 24 JAKARTA Amri, Saeful
Journal of Learning on History and Social Sciences Vol. 2 No. 7 (2025): Journal of Learning on History and Social Sciences
Publisher : PT. Antis International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ejlhss.v2i7.1359

Abstract

Objective: I conducted research with the aim of training and determining the skills of students at SMK PGRI 24 Jakarta. Students' ability to think and solve math problems is examined from the perspective of introverted and extroverted students. Method: To make my research easier, I used a qualitative approach. Six Class XI students from SMK PGRI 24 in Jakarta were the subjects of the study; The three participants each represented extroverted and introverted personality types. Questionnaire, interview, and documentation approaches were used to collect data for this study. To collect this data, aspects of the student's personality were considered, along with testing the data and the conclusions drawn from the participants. A triangulation approach was used to collect data for the study. Results: The study found that introverted and extroverted students were at a full level of understanding of the difficulties used in their thought processes as well as carrying out planning, evaluation, and monitoring procedures. Planning steps are followed, which are completed by having students double-check the planning procedures. According to the results of the research interviews, extroverted students were at the level of tacit use, and introverted students were at the level of strategic use. Novelty: Students' ability to think and solve math problems is examined from the perspective of introverted and extroverted students.
AI-Enhanced Coastal Ecosystem Monitoring for Abrasion and Mangrove Decline Detection Using NDVI and CNN Models Muhammad Ivan Ardiansyah; Saeful Amri; Basirudin Ansor; Wendy Sarasjati; Anggry Windasari; Gansar Timur Pamungkas
Journal of Computing and Smart Ecosystems Vol. 1 No. 2 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

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

Abstract

Coastal ecosystems in Indonesia are increasingly threatened by accelerating abrasion and severe mangrove degradation, especially in Mangunharjo, Semarang, where shoreline retreat continues to endanger local communities and ecological stability. This study aims to develop an AI-driven monitoring framework for detecting coastal abrasion and mangrove loss using Normalized Difference Vegetation Index (NDVI) combined with a Convolutional Neural Network (CNN) classifier. Multispectral data from Sentinel-2 imagery were processed to extract NDVI time-series from 2015 to 2025, followed by image preprocessing, normalization, and CNN-based classification. The model identifies abrasion-affected zones and declining mangrove cover, while the geospatial dashboard visualizes risk levels and restoration priority areas. Experimental results show that the CNN–NDVI model achieves high accuracy in distinguishing stable and abrasion-prone regions, with clear detection of vegetation loss patterns along the western coastline of Mangunharjo. The developed dashboard successfully integrates prediction output, interactive mapping, and AI-assisted recommendations for mangrove restoration. In conclusion, this system demonstrates the potential of combining satellite data, CNN-based analysis, and geospatial visualization to support data-driven decision-making for coastal ecosystem management and sustainable environmental planning.
Co-Authors AHMADI Ali Imron Alwan Fadlurohman Anawai Basman, Aprilla Anggry Windasari April Firman Daru Arafat, Amaliah Sholeha Ariska Fitriyana Ningrum Basirudin Ansor Dannu Purwanto Dhani, Oktaviana Rahma Eka Suryani, Puput Fauzi, Fatkhurokhman Fisabilillah, Muh. Irodat fitriani, ine Gansar Timur Pamungkas Hanif, Mohammad Burhan Haris, M. Al Ihsan Fathoni Amri Indah Fitriyani Indah Manfaati Nur Khoirudin Khoirudin Khoirudin Khoirudin, Khoirudin M. Al Haris Mandala Adikara Sencoko Manfaati Nur, Indah Masudah, Nurhidayatul Mohammad Ridwan Muhammad Ivan Ardiansyah Musa, Fitri Diana Nur, M. Saifudin Panata, Helmi Prasetio Prasetyo, Noer Prizka Rismawati Arum Purnomo Putro, Dwi Puspitasari, Listi Putri, Agata Dwi Putri Putro, Dwi Purnomo Rahman , Budiono Ridwanulhaq, Alfina Fauziah Rifa i, Ahmad Rohani, Imam Safira, Rahma Sawiah Adam, Asriyanti Sitti Sahara Supriadin Supriadin Supriyadin, Supriyadin Wardani, Amelia Kusuma Wendy Sarasjati