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All Journal Journal of Engineering, Technology and Computing (JETCom) Journal of Artificial Intelligence and Digital Business Jurnal ilmiah teknologi informasi Asia
Fahmi Setiawan
Program Studi Ilmu Komputer, Fak. MIPA, Unlam
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Analisis Pengaruh Aplikasi Tiktok Untuk Dunia Usaha/Dunia Bisnis Metode Purpose Sampling Kualitatif Muryanto, Eko; Setiawan, Fahmi; Febriyani, Febriyani; Ardwiansyah, Muhammad; Arfian, Andi
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 2 (2023): JETCom, July 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i2.99

Abstract

Tiktok merupakan salah satu media sosial yang sedang viral dan cukup diminati saat ini. Selain untuk ekspresi diri, Tiktok juga dapat digunakan dalam usaha binsis sebagai media untuk jual beli online. Seiring berkembangnya teknologi yang semakin canggih memudahkan kita untuk melakukan segala aktifias tanpa harus bertatap muka, salah satunya toko online yang mana penjual hanya mempromosikan dan menampilkan produknya semenarik mungkin kepada customer sehingga tertarik dan membelinya tanpa perlu datang ke pasar atau ke supermarket untuk bisa mendapatkan produk yang dibutuhkan, oleh karena itu peneliti tertarik untuk meneliti topik tersebut. Metode yang digunakan dalam penelitian ini adalah kualitatif, dimana kuesioner dibagikan secara online kepada 120 responden, teknik pengambilan sampel adalah purposive sampling. Hasil penelitian ini menunjukkan bahwa media sosial TikTok berpengaruh terhadap perkembangan dunia bisnis terutama bidang e-commerce
PERBAIKAN KUALITAS CITRA HASIL DENGAN METODE PENINGKATAN RATA–RATA DAN SIMPANGAN BAKU CITRA Setiawan, Fahmi; Melita, Yuliana
Jurnal Ilmiah Teknologi Informasi Asia Vol 7 No 2 (2013): Volume 7 Nomor 2 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

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Abstract

Proses perbaikan kualitas citra sering kali meninggalkan kekurangan pada citra hasil. Kekurangan ini berupa kehilangan kontras lokal dan detil pada beberapa bagian citra. Kekurangan-kekurangan ini bisa mengakibatkan beberapa informasi penting pada citra menjadi tidak terbaca. Kekurangan yang timbul akibat proses perbaikan citra dapat diminimalisir dengan mengambil kembali informasi yang ada pada citra asal. Pengambilan informasi ini dapat dilakukan dengan menggabungkan citra asal dengan citra hasil perbaikan. Namun sebelum dilakukan penggabungan citra, terlebih dahulu dilakukan peningkatan nilai rata-rata dan nilai rata-rata simpangan baku dari citra hasil perbaikan agar hasil dari penggabungan citra tersebut dapat maksimal. Dari pengujian terhadap 500 (lima ratus) citra yang terdiri dari citra yang mempunyai kekurangan pada tingkat kecerahan, kekurangan pada tingkat kekontrasan, dan citra yang mempunyai kekurangan pada tingkat kecerahan dan kekontrasan, terdapat 74 (tujuh puluh empat) citra yang tidak dapat diperbaiki secara maksimal dengan menggunakan metode yang diusulkan. Sedangkan untuk citra uji coba lainnya, metode yang diusulkan mampu memperbaiki kekurangan citra. Ini artinya tingkat keberhasilan dari metode yang diusulkan mencapai 85 %.
The Digital Collateral Substitute: Modelling Supply Chain Finance (SCF) as a Catalyst for MSME Quality Standardization and Stable Sourcing in the Hotel F&B Supply Chain Putranto, Diyan; Halawa, Fransiscus Amonio; Widodo, Rintis Eko; Setiawan, Fahmi; Ajizi, Budi Nurhamdani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3712

Abstract

This study investigates the structural imperative for the Indonesian hotel industry to integrate localized MSMEs to mitigate high archipelagic logistics costs (22%–23.5% of GDP) by addressing the critical barrier of capital access required for quality. Employing a theoretical framework that integrates the Resource-Based View (RBV) and Transaction Cost Economics (TCE), we model how financial liquidity (SCF) translates into quantifiable operational excellence (Anon. Hotel SCM, 2023). A Quantitative Empirical Design utilizing Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied to analyze data from 185 matched Buyer-Supplier dyads in the Java-Bali hotel F&B supply. Findings reveal substantial explanatory power for Sourcing Stability (R2 = 0.556) and confirm that SCF adoption significantly leads to MSME investment in Quality Standardization (H1), which in turn strongly improves Sourcing Stability (H3). Crucially, Fintech Development (the use of transparent digital platforms) acts as a significant positive moderator (H2 and H4), empirically validating the core theoretical contribution: verifiable transaction data effectively mitigates credit risk, functioning as a Digital Collateral Substitute that overcomes Information Asymmetry, unlocks greater capital access, and maximizes the stability outcomes of quality investment. This research provides a strategic blueprint for the hospitality sector to stabilize local supply chains, reduce high national inventory costs, and achieve national mandates for inclusive economic growth.
The Drivers of Supply Chain Resilience in Developing Economy Tourism: Organizational Culture and Strategic Practices Putranto, Diyan; Halawa, Fransiscus Amonio; Widodo, Rintis Eko; Setiawan, Fahmi; Ajizi , Budi Nurhamdani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3729

Abstract

This descriptive qualitative study addresses a critical theoretical gap by exploring the non-structural drivers of Supply Chain Resilience (SCR) within the highly vulnerable Tourism Supply Chain Management (TSCM) context of developing economies. Employing a multiple case study approach using in-depth interviews with expert decision-makers, the research aimed to uncover the cultural and strategic mechanisms enabling adaptive recovery. Thematic analysis identified three interconnected drivers of SCR: first, Strategic Foresight, which transforms conventional planning by actively integrating technological investments, such as AI and IoT, for predictive visibility and dynamic resource allocation; second, Organizational Culture, which serves as the core agility mechanism by fostering cross-functional collaboration and digital skills necessary for rapid service reconfiguration; and third, Localized Partnering Resilience, which relies on long-term relational assets and mutual trust but is critically reinforced by Verifiable Transparency technologies, such as Blockchain, to mitigate ethical governance risks and build consumer confidence. The study proposes a context-specific framework that positions Organizational Culture and Strategic Foresight as the critical antecedents to Supply Chain Agility, concluding that resilience in volatile markets is fundamentally a human and relational achievement. The findings offer specific, actionable recommendations for managers regarding governance and training, and for policymakers regarding integrated infrastructure and transparency standards.
The Credibility Mechanism: Modelling the Mediating Effect of Blockchain-Enabled Transparency on Sustainable Revenue Premium in Hotel Food & Beverage Supply Chains Putranto, Diyan; Halawa, Fransiscus Amonio; Widodo, Rintis Eko; Setiawan, Fahmi; Ajizi , Budi Nurhamdani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3730

Abstract

The competitive hospitality sector faces a growing credibility crisis, where rising consumer skepticism regarding "greenwashing" severely limits the ability of hotels to capture the Sustainable Revenue Premium. This research addresses a critical gap in Sustainable Supply Chain Management (SSCM) literature by empirically modeling the "Credibility Mechanism"—the process by which digital technology resolves information asymmetry to monetize sustainability claims. Focusing on the complex Food and Beverage (F&B) supply chains of emerging archipelagic economies, the study employs a rigorous sequential mixed-methods design. First, Design Science Research was utilized to architect a permissioned cross-chain blockchain framework integrating Zero-Knowledge Proofs (ZKPs) for verifiable, private provenance. Subsequently, Partial Least Squares-Structural Equation Modeling (PLS-SEM) confirmed that blockchain-enabled transparency significantly mitigates perceived greenwashing risk, which in turn fosters Customer Trust. Critically, the study validates financial outcomes using a Stochastic Frontier Bayesian Model (SFBM) applied to longitudinal hotel data. Results demonstrate that adopting this traceable framework yields an 8.4% increase in F&B revenue efficiency and sustains a 5.1% price premium for ethically sourced items. These findings provide profound theoretical advancements by redefining SCM risk mitigation through Information Governance rather than material redundancy. Managerially, the research offers a data-driven justification for high-tech investment, proving that verifiable transparency is a direct revenue driver essential for competitive advantage in opaque markets.
Co-Authors Ajizi , Budi Nurhamdani Ajizi, Budi Nurhamdani Andi Arfian Ardwiansyah, Muhammad Febriyani, Febriyani Halawa, Fransiscus Amonio Muryanto, Eko Putranto, Diyan Widodo, Rintis Eko Yuliana Melita Pranoto