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All Journal JURNAL REKAYASA SISTEM INDUSTRI Jurnal Industri Kreatif (JIK) JATI (Jurnal Mahasiswa Teknik Informatika) Journal of System and Computer Engineering Engineering and Technology International Journal (EATIJ) JURNAL PENGABDIAN MASYARAKAT AKADEMISI JT-IBSI (Jurnal Teknik Ibnu Sina) JR : Jurnal Responsive Teknik Informatika The Indonesian Journal of Computer Science Jurnal Responsive Teknik Informatika
Laurensius Setyabudhi, Albertus
Universitas Ibnu Sina
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Data Driven Smart Tourism Management: A Literature Review on System Integration, Digital Tourist Journey, and UMKM Connectivity in Smart Cities Sherly Agustini; Okta Veza; Nofri Yudi Arifin; Albertus Laurensius Setyabudhi
Engineering and Technology International Journal Vol 8 No 01 (2026): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v8i01.1239

Abstract

The rapid development of smart city initiatives has significantly transformed the tourism sector through the adoption of digital technologies and data-driven systems. This study aims to analyze the development of data-driven smart tourism management by focusing on system integration, digital tourist journey, and UMKM connectivity within smart city environments. A Systematic Literature Review (SLR) method was employed to examine 30 relevant articles published between 2020 and 2025. The findings indicate that most studies utilize similar methodological approaches but are applied to different research objects, resulting in fragmented research outcomes. Furthermore, the lack of integration among systems and limited involvement of UMKM in digital platforms remain major challenges in developing effective smart tourism ecosystems. This study highlights the need for integrated, interoperable, and scalable smart tourism systems supported by advanced technologies such as artificial intelligence, big data analytics, and Internet of Things (IoT). The results of this study provide a conceptual foundation and research directions for developing more comprehensive and sustainable smart tourism systems in smart city contexts.
Analisis Efisiensi Distribusi Last Mile Delivery Berbasis Genetic Algorithm pada E-Commerce Albertus Laurensius Setyabudhi
Engineering and Technology International Journal Vol 8 No 01 (2026): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v8i01.1264

Abstract

Penelitian ini mengkaji penerapan Algoritma Genetika (Genetic Algorithm/GA) untuk mengoptimalkan distribusi last mile delivery pada platform e-commerce di Batam, Indonesia. Last mile delivery mencakup 41–53% dari total biaya logistik, menjadikannya komponen kritis dalam rantai pasok. Penelitian menggunakan kerangka Vehicle Routing Problem with Time Windows (VRPTW) dengan data empiris dari 847 titik pengiriman yang dikumpulkan selama enam bulan dari tiga perusahaan e-commerce lokal. GA diimplementasikan dengan operator tournament selection, Order Crossover (OX) (pᶜ=0,85), inversion mutation (pₘ=0,02), dan elitisme 10% pada populasi N=150, generasi T=500. Hasil menunjukkan GA mereduksi total jarak 23,7% (847,3 km → 647,1 km/hari), mengurangi kendaraan aktif 18,4%, meningkatkan on-time delivery dari 78,3% menjadi 93,8%, dan menghemat biaya Rp2.340.000/hari. GA unggul 9,2% atas Clarke-Wright Savings Algorithm dalam total jarak (Wilcoxon p=0,0023, r=0,52). Konvergensi rata-rata dicapai pada generasi ke-312 dengan nilai fitness 0,8734. Temuan ini mengkonfirmasi GA sebagai metaheuristik efektif untuk VRPTW pada konteks kepulauan Indonesia.
Pelatihan Welding Procedure Specification (WPS) untuk Meningkatkan Kompetensi Mahasiswa Menghadapi Kebutuhan Dunia Kerja Albertus Laurensius Setyabudhi; Yuni Hardi; Amelia Rachmi Nasution; Lucky Agustin; Agustin Dwi Sumiwi; Ramdhani Yusli Arbain Sugoro; Okta Veza; Nofri Yudi Arifin
JURNAL PENGABDIAN MASYARAKAT AKADEMISI Vol. 4 No. 2 (2026): April : JURNAL PENGABDIAN MASYARAKAT AKADEMISI
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jpma.v4i2.2404

Abstract

The competency gap between university graduates and industrial requirements remains a significant challenge in preparing job-ready human resources, particularly in the welding sector. One of the essential competencies required by industry is the ability to understand and interpret the Welding Procedure Specification (WPS) as the primary document governing welding operations in accordance with international standards. This community service program aimed to enhance students' competencies in understanding the concepts, structure, and implementation of WPS to improve their readiness for the industrial workforce. The program was organized by the Department of Logistics Engineering and the Department of Naval Architecture Engineering, Faculty of Science and Technology, Universitas Ibnu Sina, in collaboration with the Alumni Association of Institut Teknologi Sepuluh Nopember (IKA ITS), using a Participatory Training and Practice-Based Learning approach. The activities included competency needs assessment, lectures on WPS, Procedure Qualification Record (PQR), Welder Performance Qualification (WPQ), ASME Section IX and AWS D1.1 standards, industrial case studies, practical interpretation of WPS documents, interactive discussions, and program evaluation. The results demonstrated that participants significantly improved their understanding of WPS functions, the relationship between WPS and PQR, welding parameters, and the application of international standards in fabrication processes. The program also enhanced participants' awareness of industrial competency requirements while strengthening collaboration between higher education institutions and industry practitioners. The WPS training proved to be an effective approach for improving students' technical competencies, reducing the gap between academic learning and industrial practice, and supporting graduate readiness for careers in manufacturing, construction, oil and gas, and shipbuilding industries.
Penguatan Jiwa Teknopreneur Berdampak melalui Sosialisasi Pemberdayaan Masyarakat pada Siswa SMA Negeri 3 Batam Okta Veza; Albertus Laurensius Setyabudhi; Nofri Yudi Arifin; Nabila Husnul Khotimah; Said Nurdian Syah; Timor Alex Chandra Ian Qurnia; Rofi Zakirahmad; M. Riski; Kamiruddin Kamiruddin
JURNAL PENGABDIAN MASYARAKAT AKADEMISI Vol. 4 No. 2 (2026): April : JURNAL PENGABDIAN MASYARAKAT AKADEMISI
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jpma.v4i2.2330

Abstract

Impact-driven technopreneurship is a technology-based entrepreneurial orientation that creates not only economic value but also social and environmental value in support of the Sustainable Development Goals (SDGs). This community service activity aims to foster and strengthen the spirit of impact-driven technopreneurship among senior high school students, whose understanding of entrepreneurship is generally still limited to conventional buying and selling. The activity was conducted at the Wan Sri Beni Hall of SMA Negeri 3 Batam and attended by 102 tenth- and eleventh-grade students. The method was participatory, comprising preparation, classical delivery of material built on three pillars (empathy, technology utilization, and sustainability), interactive case-based discussion, and observational evaluation of participation and comprehension. The results show that participants were highly engaged, able to identify real problems in their surroundings, and able to formulate simple technology-based solution ideas relevant to community needs. The activity strengthened students' awareness of innovation, creativity, and social responsibility, and reinforced university-school collaboration as a sustainable entrepreneurship-learning ecosystem. Continued mentoring and idea incubation are recommended so that the ideas generated can be developed into applicable and sustainable solutions.
Development of an Adaptive Entropy-Based GLCM Feature Extraction Method for Defect Detection in Welding Images Sherly Agustini; Okta Veza; Albertus Laurensius Setyabudhi; Nofri Yudi Arifin
Journal of System and Computer Engineering Vol 7 No 4 (2026): JSCE: October 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i4.2951

Abstract

Quality inspection of welding joints is fundamental to ensuring structural integrity and reliability, particularly in high-risk industrial sectors. The use of image processing for welding defect detection offers a more objective and consistent approach than visual interpretation; however, the performance of detection systems strongly depends on the ability of feature extraction methods to represent image texture characteristics. Gray Level Co-occurrence Matrix (GLCM) is a widely used texture feature extraction method because it can quantitatively and interpretably represent spatial relationships among gray levels. Nevertheless, static GLCM configurations may limit its representational capability when images exhibit low contrast, non-uniform intensity distributions, or small and complex defect characteristics. This study aims to develop an adaptive entropy-based GLCM feature extraction method through the integration of Adaptive ROI, ROI Entropy, and Feature Fusion. The development adopts a Research and Development (R&D) approach. The GLCM-Entropy method was subsequently tested and compared with GLCM Before Development using 500 radiographic images obtained through X-ray inspection and evaluated using a confusion matrix. The test results show that GLCM Before Development achieved an accuracy of 91.40%, whereas GLCM-Entropy achieved 96.20%, with F1-scores of 87.09% and 97.42%, respectively. These results demonstrate that the integration of global and local texture information in GLCM-Entropy improves classification performance compared with GLCM Before Development.
Co-Authors Abdurahman, Nandar Cundara Ade Kurnia, Riska Agustin Dwi Sumiwi Alamsyah, Nanang Amelia Rachmi Nasution Arifin, Nofri Yudi Cahyo, Yayan Nur Decky Antony Kifta Delia Meldra Djalil, Atika Nur Hikmah Doni Damara Doni Syofiawan Eci Ermawati Eka Mulyani, Eka Enggar Adi Sulityo Evis Saputra Fernandes, Atman Lucky Hutauruk, Sabam Mauliate Indah Kusuma Dewi, Indah Kusuma Kamiruddin Kamiruddin Larisang Lucky Agustin M. Riski Martino, Hisar Gusdian Meylia Vivi Putri Muhammad Bobbi Kurniawan Nasution Muhammad Rizki Reza Saputra Nabila Husnul Khotimah Nandar Cundara Nandar Cundara Abdurahman Nandar Cundara, Nandar Nofri Yudi Arifin Nurul Alfika Okta Veza Putra, Bima Ramdhani Yusli Arbain Sugoro Rapani Rifanti Rofi Zakirahmad Said Nurdian Syah Samad sherly agustini Sirait, Ganda Syofiawan, Doni Timor Alex Chandra Ian Qurnia Veza, Okta Widodo, Trenggono Tri Yayan Nur Cahyo Yuni Hardi Yusdinata, Zeri Yusdinata, Zeri Zaharani, Rafika Indah Zulfirman Syahputra Hasibuan