Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Jurnal Sains Manajemen Al-MIKRAJ: Jurnal studi Islam dan Humaniora Integrated System and Management Technology
Rizal Rachman
Universitas Komputer Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Epistomologi Sains di Era Kecerdasan Buatan: Menimbang Kebenaran Prediktif Popon Dauni; Rizal Rachman; Sri Erina Damayanti; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol. 6 No. 1: AL-Mikraj Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v6i1.8879

Abstract

The development of artificial intelligence (AI), particularly machine learning and deep learning, has brought significant changes to contemporary scientific practices. AI no longer functions solely as a computational tool, but plays an active role in the production, validation, and evaluation of scientific knowledge through data modelling and probabilistic inference. This development raises fundamental questions in the philosophy of science, particularly regarding the shift in the concept of scientific truth from the paradigm of empirical verification and causal explanation towards an approach based on prediction, mathematical approximation, and the management of uncertainty. This research aims to re-evaluate the status of scientific truth in the age of AI by philosophically analysing the relationship between uncertainty, computational knowledge, and scientific truth claims generated by AI models. The research method used is a qualitative study based on literature review and conceptual analysis of contemporary science and technology philosophy literature. The study results indicate that the integration of AI into scientific practice is driving a shift in the epistemology of science from a verifiative orientation towards a predictive epistemology that emphasises model reliability and instrumental validity. This research concludes that scientific truth in the AI era is more contextual and pragmatic, thus demanding an adaptive, reflective, and interdisciplinary framework for the epistemology of science. Theoretically, scientific truth in the age of artificial intelligence is more contextual, thus requiring an adaptive, reflective, and interdisciplinary framework for the epistemology of science as its main theoretical contribution.
A Design Science Roadmap for Auditable Ocular Disease Classification: Evidence Mapping of AI Governance Gaps Rizal Rachman; Eddy Soeryanto Soegoto; Irawan Afrianto; Irfan Dwiguna sumitra; Zainal Arifin Hasibuan
Integrated System and Management Technology Vol. 1 No. 2 (2026): April: Integrated System and Management Technology
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/ismat.v1i2.442

Abstract

The integration of Artificial Intelligence (AI) into ocular diagnostics has led to substantial improvements in predictive accuracy. However, a persistent gap remains between technical performance and clinical accountability. The present study addresses the "accuracy trap" and the lack of transparency in current deep learning models for ocular disease classification. The objective of the research is twofold: firstly, to identify methodological deficiencies in extant literature and, secondly, to propose a standardised evaluative framework to ensure model auditability. A systematic evidence mapping (SEM) approach, combined with design science research methodology (DSRM), was utilised to scrutinise 10 high-impact Scopus-indexed studies published between 2023 and 2026. The findings reveal a critical "predictive validity gap," where 80% of the evidence base relies on aggregate accuracy while 90% remains "black box" without functional Explainable AI (XAI) layers. The synthesis of these gaps resulted in the formulation of a conceptual roadmap that mandated multi-metric evaluation, incorporating Cohen's Kappa, and pathophysiological traceability. In conclusion, this research establishes that clinical deployment of AI must transition from model-centric success to a governance-oriented paradigm that prioritises decision utility and auditable audit trails. This roadmap provides a rigorous blueprint for the future implementation of transparent and accountable medical AI systems.
PEMANFAATAN WHATSAPP BUSINESS PADA UMKM DI INDONESIA: KAJIAN LITERATUR NARATIF Rizal Rachman; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Sains Manajemen Vol. 8 No. 2 (2026): Jurnal Sains Manajemen
Publisher : LPPM Universitas Adhirajasa Reswara Sanjaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51977/h4643d59

Abstract

WhatsApp Business has emerged as a prominent digital platform utilised by a significant proportion of micro, small, and medium-sized enterprises (MSMEs) in Indonesia. The elevated level of utilisation exhibited by this feature has yet to be fully complemented by its optimal exploitation. The objective of this study is to examine the utilisation of WhatsApp Business among UMKM, to identify the outcomes achieved, and to determine the obstacles encountered during the adoption process. The methodology employed in this study involved a narrative literature review of 16 articles published between 2021 and 2025. These articles were obtained from the Google Scholar database using the keywords "WhatsApp Business UMKM", "digital marketing UMKM", and "transformasi digital UMKM". The findings of the study are summarised in three key points. Firstly, it should be noted that the WhatsApp Business application, utilised by UMKM, is currently in its infancy and offers only a limited range of features, including manual messaging and a basic catalogue. Secondly, despite the platform not yet being fully utilised to its maximum potential, it has had a positive impact on the field of marketing, particularly in relation to UMKMs that have received marketing assistance. Thirdly, the issues encountered pertain to the limited digital literacy, inadequate internet access, and the absence of post-training support. This research indicates that the success of WhatsApp Business is contingent not only on the availability of infrastructure, but also on the readiness of human resources, the infrastructure itself, and the role of government in facilitating the digitalisation of SMEs.   WhatsApp Business menjadi salah satu platform digital yang banyak digunakan oleh pelaku usaha mikro, kecil, dan menengah (UMKM) di Indonesia. Tingginya tingkat penggunaan tersebut belum sepenuhnya diikuti dengan pemanfaatan fitur yang optimal. Penelitian ini bertujuan untuk mengkaji pola penggunaan WhatsApp Business pada UMKM, mengidentifikasi dampak yang dihasilkan, serta mengetahui kendala yang dihadapi dalam proses adopsinya. Metode yang digunakan adalah kajian literatur naratif terhadap 16 artikel yang dipublikasikan pada periode 2021–2025, yang diperoleh melalui database Google Scholar dengan kata kunci “WhatsApp Business UMKM”, “digital marketing UMKM”, dan “transformasi digital UMKM”. Hasil kajian menunjukkan tiga temuan utama. Pertama, penggunaan WhatsApp Business oleh UMKM masih terbatas pada fitur dasar, seperti pesan manual dan katalog sederhana. Kedua, meskipun pemanfaatannya belum maksimal, platform ini memberikan dampak positif terhadap komunikasi dengan pelanggan, efektivitas pemasaran, dan peningkatan penjualan, terutama pada UMKM yang mendapatkan pendampingan. Ketiga, kendala yang dihadapi meliputi rendahnya literasi digital, keterbatasan akses internet, serta kurangnya pendampingan setelah pelatihan. Penelitian ini menunjukkan bahwa keberhasilan penggunaan WhatsApp Business tidak hanya ditentukan oleh ketersediaan teknologi, tetapi juga dipengaruhi oleh kesiapan sumber daya manusia, dukungan infrastruktur, dan peran kebijakan pemerintah dalam mendorong digitalisasi UMKM.
Co-Authors Agus Nursikuwagus Andrias Darmayadi Eddy Soeryanto Soegoto Irawan Afrianto Irfan Dwiguna Sumitra Popon Dauni Sri Erina Damayanti Tri Utomo Wiganarto Usep Mohamad Ishaq Zainal Arifin Hasibuan