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Multi-Criteria Decision Support for Smart Manufacturing Innovation Ecosystems Toward Industry 6.0 Saputra, Dhanar Intan Surya; Sutiksno, Dian Utami; Rahim, Robbi
JINAV: Journal of Information and Visualization Vol. 7 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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

Abstract

The transition towards Industry 6.0 demands the evolution of intelligent manufacturing systems beyond automation and digitalization towards integrated, human-centric, and resilient innovation ecosystems. The assessment of ecosystem readiness in the face of such complexity is essentially a multi-criteria decision problem with conflicting objectives and structural risk constraints. This study proposes a non-compensatory multi-criteria decision support system using the ELECTRE method to evaluate the readiness of Smart Manufacturing Innovation Ecosystems in Indonesia. Seven industry 6.0-oriented criteria are considered, including technology infrastructure readiness, digital connectivity, human capital capability, sustainability, governance, cybersecurity, and investment costs. The structured decision matrix is normalized, weighted, and processed using concordance-discordance analysis to obtain an outranking dominance relationship between the decision alternatives. The results show that ecosystem readiness varies, with regions with balanced digital, governance, and cybersecurity readiness exhibiting structural dominance, while regions with lower digital readiness but lower investment costs are vetoed due to non-compensatory decision rules. Sensitivity analysis shows that the ranking of decision alternatives remains robust with moderate weight/threshold changes. The ELECTRE-based non-compensatory decision approach is more appropriate than compensatory approaches in evaluating strategic industrial constraints pertinent to the industry 6.0 transition. The study’s contribution is the operationalization of industry 6.0 principles within a decision support system framework, providing policy-relevant prioritization results pertinent to the smart manufacturing development strategy in Indonesia.
Rental Housing Recommendation System Model Based on Multi-Criteria Decision Making and Machine Learning with Technology Acceptance Model Integration Robbi Rahim; Vijay Nath
Ceddi Journal of Information System and Technology (JST) Vol. 5 No. 1 (2026): April
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v5i1.164

Abstract

The selection of rental housing is a multi-criteria decision-making problem involving factors such as price, location, facilities, security, and environment, making it difficult for prospective tenants to determine the option that best suits their needs. This study aims to develop a rental housing recommendation system model by integrating Multi-Criteria Decision Making (MCDM), Machine Learning, and Technology Acceptance Model (TAM). The Analytical Hierarchy Process (AHP) is used to determine the criteria weights. In contrast, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used to rank rental housing alternatives. Furthermore, a Machine Learning approach using the Random Forest algorithm is applied to predict user preferences from historical data. System evaluation is carried out by comparing recommendation performance between AHP–TOPSIS and Simple Additive Weighting (SAW), testing the performance of the Machine Learning model, and analysing user acceptance using Structural Equation Modelling based on Partial Least Squares (SEM-PLS) within the Technology Acceptance Model framework. The results show that the AHP–TOPSIS model outperforms SAW in recommendation performance, achieving 89.4% compared to 84.7%. The Random Forest-based Machine Learning model also demonstrated good performance in predicting user preferences. The SEM results showed that perceived ease of use significantly influenced perceived usefulness and behavioural intention; perceived usefulness significantly influenced behavioural intention; and behavioural intention significantly influenced actual use, with p-values < 0.05. The R-square value of 0.67 indicated that the model had strong explanatory power for user acceptance. This study developed a rental housing recommendation system model that not only objectively provides the best alternative but also adjusts its recommendations to user preferences, achieving high acceptance. This model has the potential to be applied in the development of recommendation systems in the housing sector and artificial intelligence-based decision support systems.
Design and Implementation of a Web-Based Online Exam System with Screen Monitoring for Academic Integrity Rachael Davis; Robbi Rahim
Ceddi Journal of Education Vol. 4 No. 2 (2025): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/cje.v4i2.105

Abstract

The widespread use of online exams has exacerbated academic integrity issues due to limited visibility of proctoring in a digital environment. This study designed and implemented a web-based exam system that integrates screen-monitoring features to support transparency in proctoring between proctors and students. The system was developed using a Waterfall approach, encompassing needs analysis, system design, implementation, and functional testing. System evaluation was conducted through a limited pilot test involving 4 participants, with quantitative data obtained from system logs that recorded successful answer saving, exam time control, tab-switching detection, and real-time screen monitoring. Descriptive analysis showed that 100% of participants' answers were saved without data loss, all exam sessions ended with automatic access lockout, and tab-switching activity was detected and acted upon with up to 3 warnings before the exam was disabled. The screen monitoring feature operated stably under standard internet network conditions, although performance was affected by user bandwidth. These findings confirm that integrating screen monitoring into online exam systems is a viable, globally replicable proctoring solution, particularly for educational institutions that require technology-based academic integrity mechanisms without relying on complex AI-based proctoring.
Beyond Compensatory Benchmarking: A Robust Multi-Criteria Decision Support Framework for Regional Digital Economy Performance Leroy Samy Uguy; Esther Kembauw; Robbi Rahim
ARRUS Journal of Social Sciences and Humanities Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum4682

Abstract

The multi-dimensional nature of the digital economy is such that there is a need to develop new methodologies to overcome the limitations of existing methods of measuring regional digital economy performance beyond composite indicators. The existing methods of benchmarking, which are based on compensatory aggregation, may mask structural problems in key governance areas. The research aims to develop an integrated multi-criteria decision support system to evaluate regional digital economy performance by applying the Analytical Hierarchy Process (AHP) with the geometric mean method for determining the weight of each criterion and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking. The quantitative approach to multi-criteria decision-making (MCDM) has been used to develop the decision support system. The results of the research indicate that the digital economy’s cybersecurity and digital trust are the most influential factors in determining digital economy performance. The results of the TOPSIS analysis indicate that there is a clear stratification of digital economy performance across regions, with the best-performing regions having well-developed digital infrastructure, human capital readiness, and cybersecurity. The results of the sensitivity analysis indicate that the ranking of digital economy performance is robust across all scenarios. The research contributes to theory by providing a new approach to measuring digital economy performance. The research contributes to the practical applications of digital economy research by providing an integrated approach to decision support. The research contributes to the methodological approach to multi-criteria decision-making by providing an integrated approach to decision support. The research contributes to the practical applications of digital economy research by providing an integrated approach to decision support. The research contributes to the practical applications of digital economy research by providing an integrated approach to decision support.
Implementasi Animasi 3D Sebagai Media Edukasi Untuk Meningkatkan Pemahaman Siswa SD Negeri 101884 Andika Ramadani; Robbi Rahim
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 4 No. 1 (2026): July
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v4i1.340

Abstract

Perkembangan teknologi informasi dan komunikasi telah mendorong pemanfaatan media pembelajaran yang lebih inovatif dalam dunia pendidikan. Salah satu media yang dapat digunakan adalah animasi 3D yang mampu menyajikan materi pembelajaran secara visual, interaktif, dan menarik. Penelitian ini bertujuan untuk mendeskripsikan implementasi animasi 3D sebagai media edukasi dalam meningkatkan pemahaman siswa di SD Negeri 101884. Metode penelitian yang digunakan adalah deskriptif kualitatif. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi yang melibatkan guru dan siswa sebagai subjek penelitian. Data yang diperoleh dijelaskan melalui tahapan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa penggunaan animasi 3D dalam proses pembelajaran mampu menciptakan suasana belajar yang lebih menarik dan interaktif. Siswa terlihat lebih aktif, antusias, dan mudah memahami materi yang disampaikan karena penyajian informasi dilakukan secara visual dan realistis. Selain itu, guru menilai bahwa animasi 3D dapat membantu menjelaskan konsep-konsep pembelajaran yang sulit dipahami melalui metode konvensional. Penggunaan media ini juga memberikan pengalaman belajar yang lebih menyenangkan sehingga meningkatkan perhatian dan keterlibatan siswa selama proses pembelajaran berlangsung. Berdasarkan hasil penelitian, dapat disimpulkan bahwa implementasi animasi 3D sebagai media edukasi memberikan kontribusi positif dalam mendukung proses pembelajaran dan membantu meningkatkan pemahaman siswa di SD Negeri 101884. Oleh karena itu, animasi 3D dapat dijadikan sebagai alternatif media pembelajaran yang inovatif untuk menciptakan pembelajaran yang lebih efektif dan menarik.
MODEL FOR LEAN SERVICE MEASUREMENT MANAGEMENT IN PRIVATE UNIVERSITIES OF NORTH SUMATERA FAHMI SULAIMAN; Robbi Rahim; Jihan Sulaiman; Raja Intan Zarina Binti Raja Zaki Hashim
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.5173

Abstract

Abstract: The research uses qualitative and quantitative analysis approaches. The focus of the research is to develop a decision support system (DSS) that uses six main criteria: academic service quality, administrative service quality, availability of facilities and infrastructure, time management efficiency, student satisfaction, and waste reduction. Data were collected through observation, interviews and questionnaires distributed to 67 private universities in the LLDIKTI Region I North Sumatra as research samples. The collected data were processed according to the steps of the AHP-TOPSIS model. The results of this study are Academic services in first place with a weight of 0.78, Administrative services in second place with a weight of 0.72, Library & IT in third place with a weight of 0.65, Campus facilities in fourth place with a weight of 0.58, and Financial & payment services in fifth place with a weight of 0.49.Keywords: Lean Servive; Measurement; Management; Academic; Service Quality
Analisis dan Perancangan Strategi Manajemen Keamanan Informasi pada Penggunaan Sistem Berbasis Cloud di Perusahaan Jasa Aisyah Pramudita; Robbi Rahim
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 4 No. 1 (2026): July
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v4i1.693

Abstract

Transformasi digital mendorong perusahaan jasa memanfaatkan sistem berbasis cloud untuk mendukung operasional bisnis, namun perpindahan pengelolaan data ke lingkungan cloud turut meningkatkan kompleksitas risiko keamanan informasi. Penelitian ini bertujuan menganalisis kondisi keamanan informasi berdasarkan prinsip Confidentiality, Integrity, dan Availability (CIA Triad), menganalisis risiko keamanan informasi berdasarkan ISO/IEC 27001:2022 dan NIST Cybersecurity Framework (CSF) 2.0, serta merancang strategi manajemen keamanan informasi yang dapat diterapkan pada perusahaan jasa. Penelitian menggunakan metode kualitatif dengan pendekatan Systematic Literature Review (SLR) mengikuti tahapan PRISMA pada basis data ScienceDirect, SpringerLink, Scientific Reports, dan MDPI, sehingga diperoleh lima belas artikel yang memenuhi kriteria inklusi tahun 2022-2026. Hasil analisis menunjukkan bahwa risiko dominan meliputi akses tidak sah, kebocoran data, kesalahan konfigurasi, kerentanan aplikasi, dan lemahnya kesadaran keamanan pengguna. ISO/IEC 27001:2022 dan NIST CSF 2.0 terbukti saling melengkapi: ISO/IEC 27001:2022 memperkuat tata kelola melalui Information Security Management System (ISMS), sedangkan NIST CSF 2.0 memperkuat kesiapsiagaan operasional melalui fungsi Govern, Identify, Protect, Detect, Respond, dan Recover. Penelitian ini menghasilkan model strategi konseptual terintegrasi yang mencakup enam tahapan, yaitu tata kelola, identifikasi risiko, implementasi kontrol, pemantauan, respons insiden, serta evaluasi berkelanjutan, sebagai rekomendasi bagi perusahaan jasa dalam memperkuat keamanan sistem berbasis cloud.
Co-Authors Abdul Latif Abdul Latif Abdul Rahman Abroza, Ahmad Ada Adoley Allotey Adri Lundeto Agus Riyanto Agus Widodo, Hendro Ahmar, Ansari Saleh Ahmed Ramadhan Al-Obaidi Ahyuna Ahyuna Aisyah Pramudita Akbar Iskandar Amiruddin, Erwin Gatot Andika Ramadani Andrei Widjanarko Anggia Arif Arfianto, Afif Zuhri Baringbing, Elsinta Karolina Br Belinda Lai Berman Hutahaean Claudia Ann Rutland Darwis Robinson Manalu Desi Eka Nuryanti Dhanar Intan Surya Saputra Dwi Yuny Sylfania ELIHAMI, ELIHAMI Ellisa Agustina Elsayed T.Helmy Enos Lolang Ernie C Avila Ernie C Avila Ernie C. Avila Erwin L. Rimban Ester Rajagukguk Esther Kembauw Fahmi Sulaiman Fajriana, Fajriana Fransiskus Panca Juniawan GS , Achmad Daengs Guellica Agnesia Claudia Thanos Hafsah, Hafni Hardisal, Hardisal Harfawan Matturungan Harjanti, Trinugi Wira Hasan, Nonce Hashim, Raja Intan Zarina Binti Raja Zaki Hendro Agus Widodo Herry Rachmat Widjaja I Gede Iwan Sudipa Imam Saputra Indriyani Indriyani Intan Nurrachmi Ira Modifa Tarigan Irfan Ahmad Iswahyu Pranawukir Iswanto Suwarno Iswanto Suwarno Iwan Adhicandra Iwan Adhicandra Iwan Adicandra Jacomina Vonny Litamahuputty Jassim Alhamid Jihan Sulaiman Jimmy H Moedjahedy Kraugusteeliana Kraugusteeliana Kunal Kunal Kunal Kunal Kunal, Kunal Laksono Trisnantoro Lase, Delipiter Lela Khartishvili Leon Andretti Abdillah Leroy Samy Uguy Lestari, Veronika Nugraheni Sri Lusy Tunik Muharlisiani M. Aldi Hidayat Lamdho Mamadiyarov, Zokir Mansyur Mansyur Manvender Kaur Sarjit Singh Manvender Kaur Sarjit Singh Maret Sitanggang Mary Puthern Matturungan, Harfawan Meithiana Indrasari Mohamad Sudi Mohammad Aljanabi Muhammad Ade Kurnia Harahap Muhammad Ahmad Baballe Muqarranah Sulaiman Kurdi Musyarrafah Sulaiman Kurdi Mutmainnah, Muthia Nabila Turahma Niah Butarbutar Nia Maharani Raharja Nia Maharani Raharja Nofirman, N Novarezi, Wendi Tri Nur Mistari Nurhalimah Nurhalimah Nurhayati Nurhayati Nurmawati Nurmawati Omar Tanane Omar Tanane Prisma Megantoro Rachael Davis Raditya Argananta Churyanto Rahmat Hidayat Raja Intan Zarina Binti Raja Zaki Hashim Ramadhani Prayoga Raudatul Innayah Restu Diyah Pramesti restu Rispa Ngindana Rosmawita Ningrum Rushendra, Rushendra Sahyunu Sahyunu Santri W Pasaribu Sapinah Satria Prayudi Siewe Pougoue E.B. Simanullang, Sanco Siregar, Yulia Rahma Slamet Riyadi Suhanda, Yogasetya Sujatmiko, Dedi Sulaiman, Jihan Susatyo Adhi Pramono, Susatyo Adhi Sutiksno, Dian Utami Suwarni Syafrizaldi Syamsu Rijal T.Helmy, Elsayed Tasya Noorhaliza Toha Ardi Nugraha Toong Hai Sam Ursula Hadimeri Usanto S Usanto S Victor Jiménez-Díaz-Benito Vijay Nath Virro I. Wajdi, Muh Barid Nizarudin Widjanarko, Andrei Widyatmike Gede Mulawarman Wim Winowatan Wulandari, Ike Yuni Yaya Finayani Yoga Ihsan Rianto Yoga Ihsan Rianto Yuaniko Paramitra