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All Journal Indonesian Journal of Science and Technology JURISMA: Jurnal Riset Bisnis & Manajemen Journal of Economics, Management, Business And Accounting (JEMBA)
Suryatno Wiganepdo Soegoto
Universitas Komputer Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Social Sciences

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A systematic Literature Review of Internet of Things for Higher Education: Architecture and Implementation Eddy Soeryanto Soegoto; Herman Soegoto; Dedi Sulistiyo Soegoto; Suryatno Wiganepdo Soegoto; Agis Abhi Rafdhi; Herry Saputra; Dina Oktafiani
Indonesian Journal of Science and Technology Vol 7, No 3 (2022): IJOST: VOLUME 7, ISSUE 3, December 2022
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v7i3.51464

Abstract

The objectives of this paper are to analyze the implementation and architecture of the Internet of Things (IoT) from previous studies, specifically in the world of higher education; offer recommendations for future research, as well as strengthen the theory of IoT architecture that already exists in higher education. This study employed a systematic literature review (SLR) with data collection utilizing Funnel Diagrams to select articles based on their relevance to the research question. The three publisher databases (Scopus, Emerald, and EBSCO) and index journals were utilized in the search for articles. A total of 1,200 articles were gathered from these three sources, with distributions of up to 800 in Scopus, 150 in Emerald, and 250 in EBSCO. The findings demonstrate that the existing IoT architecture has a more sophisticated model than the fundamental idea, which has three layers, implying that using IoT in education may have a significant influence on user convenience. This is due to the increasingly complicated requirements of higher education's many business procedures. This study serves as an inspiration and reference for future research for higher education institutions that include the Internet of Things in their implementation to build an efficient teaching and learning environment.
Analisis Efektivitas Transformasi Digital dalam Skema Sertifikat Halal di Provinsi Banten Rita Sari Puspita; Mari Maryati; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar; Suryatno Wiganepdo Soegoto
JEMBA Vol 6 No 1 (2026): Journal of Economics, Management, Business and Accounting
Publisher : Fakultas Ekonomi dan Bisnis Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jemba.v6i1.18897

Abstract

Digital transformation has become a central element of public service reform, including the implementation of halal certification in Indonesia. This study aims to analyze the effectiveness of digital transformation in the halal certification scheme in Banten Province and to identify the key factors influencing its performance. A quantitative explanatory approach was employed through a survey of 235 micro and small enterprise owners who had applied for or were in the process of applying for halal certification using a digital system. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings indicate that digital transformation has improved service accessibility and transparency; however, its overall effectiveness has not yet been fully achieved, particularly in terms of process efficiency and time certainty. The effectiveness of digital halal certification services is influenced by system quality, information quality, quality of facilitation services, and users’ facilitating conditions. These results suggest that the success of digital transformation in regulatory public services is not determined solely by technological quality, but also by implementation support and contextual factors at the regional level. Theoretically, this study contributes to the literature on digital transformation in the public sector by emphasizing a public value and socio-technical perspective in evaluating service effectiveness. Practically, the findings provide insights for improving the governance of digital halal certification through strengthening facilitation mechanisms, enhancing digital literacy among enterprises, and adopting more context-sensitive implementation strategies.
Integrasi Arsitektur Ekosistem Big Data Dan Sistem Informasi Dengan Machine learning Untuk Pengambilan Keputusan Bisnis Hadi Purnomo; Fipih Badriyah Nirtana; Suryatno Wiganepdo Soegoto
JEMBA Vol 6 No 1 (2026): Journal of Economics, Management, Business and Accounting
Publisher : Fakultas Ekonomi dan Bisnis Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jemba.v6i1.19507

Abstract

Integrasi dari big data dan sistem informasi untuk machine learning sangat penting dalam mendukung pengambilan keputusan bisnis. Penelitian sebelumnya yang belum membahas mengenai arsitektur ekosistem big data memungkinkan integrasi tersebut tidak berjalan optimal. Tujuan dari penelitian ini sendiri yaitu untuk mengidentifikasikan mengenai struktur utama dari arsitektur ekosistem big data dan menjelaskan peran dari komponen sistem informasi dalam meningkatkan dan mempercepat dalam pengambilan keputusan bisnis, serta menganalisis penerapan machine learning dalam ekosistem big data. Metode yang digunakan dalam penelitian ini adalah tinjauan literatur dengan menyeleksi artikel yang relevan menggunakan pendekatan PRISMA. Hasil menunjukkan bahwa arsitektur ekosistem big data yang terdiri dari lapisan ingestion, penyimpanan terdistribusi, pemprosesan data, dan aplikasi visualisasi yang tepat dan akurat pada sistem informasi dapat mempercepat pengambilan keputusan dengan hasil secara real-time, serta machine learning yang dioptimalkan dengan komputasi terdistribusi. Penelitian ini berkontribusi untuk memberikan pemahaman lebih lanjut mengenai arsitektur ekosistem big data yang dapat dijadikan fondasi untuk keputusan bisnis yang akurat.
Optimasi Perekrutan Strategis Melalui Big Data dan Sistem Informasi Manajemen Tatang Supriyadi; Okta Five; Agus Riyanto; Suryatno Wiganepdo Soegoto; Trustorini Handayani
JURISMA : Jurnal Riset Bisnis & Manajemen Vol. 16 No. 1: April 2026
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jurisma.v16i1.19513

Abstract

Human resource management is reaching a tipping point in the digital age, as data-driven approaches are beginning to outperform traditional intuition-based hiring techniques. In order to create a framework for strategic decision-making in the hiring process, this study attempts to summarize the function of Big Data in Management Information Systems. In this study, 20 chosen publications from scholarly databases are subjected to a systematic literature review (SLR) using the PRISMA standard. According to the findings, hiring can now take on a predictive function with a person-job matching accuracy of up to 98.1% thanks to the integration of Big Data and AI in Management Information Systems. It has been demonstrated that using blockchain technology and cloud architecture increases operational effectiveness and data security. Big Data is a strategic tool that helps HR professionals become skilled data analysts by reconstructing their function. Technically, ethical governance to mitigate privacy threats and an integrated SIM infrastructure are necessary for execution. There is currently a gap in the literature about the impact of an algorithm-based recruitment approach on employee psychological elements, such as affective commitment and individual inventiveness, which has to be empirically tested in future research. Keywords: Big Data; Human Resource Management; Information System; Recruitment; Strategic Decision
Marketing Strategy and branding approach to achieve customer value in local business Suryatno Wiganepdo Soegoto; Dedi Sulistiyo Soegoto
JURISMA : Jurnal Riset Bisnis & Manajemen Vol. 16 No. 1: April 2026
Publisher : Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jurisma.v16i1.19972

Abstract

The role of marketing and brand strategy in the business world, both nationally and locally, has implications for the value expected to be received by customers. So we need an empirical analysis of these variables through research methods based on quantitative methods, multiple linear regression analysis. The variables measured were: Marketing Strategy and brand as exogenous variables (X) and customer value as endogenous variables (Y). Objects of research include product shops in Bandung as the unit of analysis. The data collection technique used saturated random sampling with 100 respondents from product shop customers in Bandung. Statistical analysis using classical assumption test and hypothesis testing Z, T and F with a significant level (α) 5% and calculated by statistical analysis. The results showed a significant influence between marketing strategy, brand, on customer value. Marketing strategy and brand variables affect customer value either partially or simultaneously. Keywords: Marketing Strategies; Brand; Customer Value; Retail Business; Bandung
Co-Authors Adam Mukharil Bachtiar Agis Abhi Rafdhi Agus Riyanto Dedi Sulistiyo Soegoto Dina Oktafiani Eddy Soeryanto Soegoto Fipih Badriyah Nirtana Hadi Purnomo Herman Soegoto Herry Saputra Irfan Dwiguna Sumitra Mari Maryati Okta Five Rahma Wahdiniwaty Rita Sari Puspita Tatang Supriyadi Trustorini Handayani