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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Pendidikan Vokasi APTEKINDO ELECTRANS INVOTEC JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal ULTIMA Computing JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknologi Terpadu JURNAL BUDIDAYA PERTANIAN Journal of Vocational Education Studies (JOVES) TECHNO-SOCIO EKONOMIKA REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) International Journal of Electronics and Communications Systems Eduvest - Journal of Universal Studies IJIS Edu : Indonesian Journal of Integrated Science Education SNTE Pedagogia : Jurnal Ilmiah Pendidikan
Iwan Kustiawan
Universitas Pendidikan Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology 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 Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Social Sciences Other

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Hybrid Database Architecture for Retail Big Data Analytics: PostgreSQL vs MongoDB Performance Analysis Noor, Tubagus Firman Iskandar; Nugraha, Eki; Maknun, Johar; Kustiawan, Iwan; Shaymanov, Farxod Xushbakovich
International Journal of Electronics and Communications Systems Vol. 5 No. 2 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v5i2.28108

Abstract

The rapid growth of retail big data has intensified the challenge of selecting a database architecture that can balance analytical performance and resource efficiency, particularly in data-intensive retail environments. This study aims to conduct a comparative performance analysis between PostgreSQL 16 and MongoDB 8.0 in the context of implementing big data analytics in the retail industry. An experimental quantitative approach is used, utilizing a large-scale, real-world retail sales and inventory dataset to benchmark PostgreSQL 16 and MongoDB 8.0 across a range of representative analytical workloads. Results show MongoDB is 28-31% faster in query processing, but PostgreSQL is 13-17% more efficient in resource usage (CPU, RAM, Storage I/O) and requires 6x less storage. These results indicate that MongoDB consistently achieves faster execution times for read-intensive analytical queries, especially in large-scale aggregation operations. Conversely, PostgreSQL exhibits superior storage efficiency and lower computational resource consumption due to its normalized relational architecture. These findings reveal a fundamental trade-off between analytical speed and infrastructure efficiency in retail big data systems. This research contributes to the development of hybrid data architecture strategies for big data analytics in the retail industry, supporting performance optimization and informed decision-making in data-rich environments
Exploring disruptive power: Acceptance of digital technologies in mechanical engineering education among Ghanaian technical university teachers Emmanuel Obobi Tettehfio; Agus Setiawan; Iwan Kustiawan; Prince Yaw Andoh
Jurnal Pendidikan Vokasi Vol. 13 No. 3 (2023)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v13i3.63606

Abstract

The paper examines the effect of perceived ease of use, user acceptance, and quality assurance practices on the acceptance of digital technology among mechanical engineering teachers in Technical Universities in Ghana. The paper adopts a quantitative research approach using a descriptive survey design. A sample of 167 mechanical engineering teachers was selected using stratified and simple random sampling techniques. Data was collected through a structured questionnaire that included demographic information and variables related to digital technology acceptance. The collected data were analyzed using structural equation modeling with the aid of SmartPLS 4 software. The study's findings reveal that perceived ease of use, user acceptance, and quality assurance practices significantly and positively influence mechanical engineering teachers' acceptance of digital technology. Specifically, the acceptance of quality assurance practices was found to have the strongest impact on technology acceptance among the three factors examined. The study focused on mechanical engineering teachers in Ghana's Technical universities, limiting the generalizability of the findings to other educational contexts. Future research should consider expanding the sample size and including participants from different educational institutions and other disciplines. This study contributes to the existing literature on digital technology acceptance by examining the specific context of mechanical engineering education in Ghana. The findings also contribute to the broader discourse on digital skills development and closing the digital divide in educational settings.
Digital maturity models and instruments for vocational high schools in Indonesia Agus Setiawan; Edhy Sri Yarmanto; Iwan Kustiawan
Jurnal Pendidikan Vokasi Vol. 14 No. 3 (2024)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v14i3.72957

Abstract

Research on digital maturity models in education, particularly vocational education, remains limited, despite the urgent need for schools to adapt to digital transformation. Vocational High Schools (SMK) in Indonesia are mandated to prepare graduates as skilled workers ready to meet industry demands, and therefore require a clear framework to assess their digital readiness. This study aims to develop a model and an instrument to measure the digital maturity level of vocational schools. The research employed a literature review of existing digital maturity models from both education and industry, followed by synthesis and adaptation to the vocational school context. The resulting model consists of five dimensions: strategy and organization, people and culture, products and services, technology and infrastructure, and organizational operations. It defines five levels of maturity: not ready, initial readiness, medium readiness, mature readiness, and fully applied. An instrument with 29 indicators was developed and tested through a pilot study in one vocational school, with results showing strong validity and reliability (Cronbach’s Alpha = 0.935). The findings highlight the inclusion of the products and services dimension as a novel contribution compared to existing educational models. This model and instrument provide practical benefits for vocational school leaders to assess current digital maturity, identify areas for improvement, and plan targeted digital transformation strategies. The study also opens avenues for future research through larger-scale validation and integration of field observations.
Conceptual Model of Fintech Information System Services Adoption for Impact and Transformation Workers in Vocational Context Ade Andri Hendriadi; Isma Widiaty; Iwan Kustiawan
Eduvest - Journal of Universal Studies Vol. 5 No. 11 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i11.52401

Abstract

This study develops and tests a conceptual model of fintech information systems services adoption for impact and transformation workers in vocational context in Indonesia. Through a mixed-method approach with 618 respondents, the study identified complex interactions between individual characteristics, organizational factors, and barriers to adoption, as well as their effects on system quality and adoption impacts. The results showed that individual characteristics were the strongest determinants (β = 0.684) of fintech adoption, followed by organizational factors (β = 0.572) and barriers to adoption (β = -0.428). System quality (β = 0.745) acts as the main mediator, influencing the level of use that impacts four dimensions: individual (β = 0.682), organizational (β = 0.624), process (β = 0.594), and technological (β = 0.568). This model offers a comprehensive framework for understanding and managing fintech adoption in a vocational environment, with significant implications for practitioners, organizations, and policymakers.
Digital Arts Experience: Inovasi Teknologi Sensor Suara dan Sentuh Berbasis IoT untuk Literasi dan Pembelajaran Musik Anak Berkebutuhan Khusus di Sumedang Iwan Kustiawan; Deasy Rosanti Nurjannah; Ayo Sunaryo; Lilis Widaningsih
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 4 (2026): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i4.1282

Abstract

The Digital Arts Experience program developed an inclusive music-learning medium for children with special needs using Internet of Things (IoT)-based sound and touch sensors. Activities were conducted at SLB Shapphira Diyanah and Rumah Pintar Ibu Een in Sumedang, involving children, teachers, parents, and community managers. The program comprised needs identification, prototype design and demonstration, teacher training, guided practice with children, and participatory evaluation through observation and stakeholder feedback. Observations indicated more active engagement in exploring sound through movement, vocalization, and touch. Teachers also became more capable of designing multisensory music activities and adapting them to individual needs. Parents reported more varied emotional expression and communication after the sessions. These findings indicate that interactive sensor-based musical devices may support inclusive music learning and gradual technology literacy. However, effectiveness should be examined further using measurable indicators, clearly reported participant data, and a longer period of implementation.
Co-Authors Aa Juhanda Aay Susilawati Ade Andri Hendriadi Ade Gafar Abdullah, Ade Gafar Agus Setiawan Al Azhima, Silmi Ath Thahirah Al Qibtiya, Mariya Al Qibtya, Mariya Alam, Sahirul Anggarda, Mohammad F Arjuni Budi Pantjawati Ath Thahirah Al Azhima, Silmi Ayo Sunaryo Bandiyah Sri Aprillia Budi, Agus Heri Setya Darmawan, Dwicky Deasy Rosanti Nurjannah Deni Irawan Diana Rochintaniawati Didin Wahyudin Didin Wahyudin Dwicky Darmawan Edhy Sri Yarmanto Eki Nugraha Emmanuel Obobi Tetehfio Emmanuel Obobi Tettehfio Erik Haritman Fauzan, Mochamad Rizal Hakim, Nurul F A Hasbullah Hasbullah Ida Kaniawati Imanudin, Rizkia Fahmi Noviansyah Isma Widiaty Johar Maknun, Johar Kaniarudi, Neneng Puspita Khairi, Saiqa Fatur Khan, Muhammad Lookman Hossain Kurnia Santi Lilik Hasanah Lilis Widaningsih Lubis, Fahmi Zulkifli Lukman Hakim, Dadang Maharbid, Allan Anugraha Maman Somantri Mandasari, R Deasy Mariya Al Qibtiya Mohamad Iqbal Rosyadi Mohamad Ramdhani Muhammad Adli Rizqulloh Muhammad Randi Alwi Nendi Suhendi Syafei Neris Peri Ardiansyah Noor, Tubagus Firman Iskandar Nurjanah, Deasy R Nurul Fahmi Arief Hakim Nuryani Rustaman Prince Yaw Andoh Quinera Joshua R. Ajeng Herty P Resa Pramudita Roer Eka Pawinanto, Roer Eka Ronald Adrian, Ronald Salsabilla Dwita Putri Shaymanov, Farxod Xushbakovich Silmi Ath Thahirah Al Azhima Siscka Elvyanti Siscka Elvyanti Siscka Elvyanti, Siscka Susilawati, Aay Wasimudin Surya Saputra Yadi Mulyadi Yarmanto, Edhy Sri Yoyo Somantri