Hoga Saragih
Jurusan Teknik Elektro, Fakultas Teknik, Universitas 17 Agustus 1945 Jakarta Jln Sunter Permai Raya, Sunter Agung Podomoro, Jakarta Utara 14350

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Efisiensi Rantai Pasok Berbasis Artificial Intelligence Melalui Transformasi Digital ERP–AI (Studi Kasus PT. Akila Kitchen) Hindrawan, Dimas; Saragih, Hoga
Jurnal Pendidikan Tambusai Vol. 9 No. 3 (2025): Desember
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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

Abstract

Transformasi digital berbasis Artificial Intelligence (AI) telah merekonstruksi lanskap manajemen rantai pasok modern dengan menggeser proses pengambilan keputusan dari sistem administratif reaktif menuju optimasi prediktif berbasis data. Namun, bukti empiris mengenai dampak integrasi Enterprise Resource Planning (ERP) berbasis AI pada industri dengan karakteristik mudah rusak dan permintaan berbasis acara, seperti katering, masih terbatas—terutama di negara berkembang. Penelitian ini menganalisis bagaimana integrasi ERP–AI meningkatkan kinerja rantai pasok end-to-end pada PT. Akila Kitchen, perusahaan katering menengah di Jakarta. Metode yang digunakan adalah mixed methods, dengan mengombinasikan data kuantitatif dari log ERP–AI, pemantauan rantai dingin berbasis IoT, serta dashboard logistik real-time, yang kemudian ditriangulasi dengan evaluasi kualitatif terhadap perubahan proses bisnis. Hasil penelitian menunjukkan peningkatan kinerja yang signifikan setelah implementasi ERP–AI: akurasi peramalan meningkat dari 82% menjadi 95%, food waste turun menjadi 0,9%, lead time produksi berkurang 33%, dan ketepatan pengiriman naik dari 87% menjadi 98%. Temuan tersebut memberikan validasi empiris bahwa arsitektur ERP yang diperkaya AI mampu meningkatkan adaptivitas rantai pasok, mengurangi variabilitas operasional, serta memperkuat ketahanan organisasi di sektor layanan makanan katering. Penelitian ini memberikan kontribusi akademik melalui model empiris integratif untuk transformasi rantai pasok berbasis AI, sekaligus menawarkan implikasi praktis bagi pelaku industri yang mengadopsi teknologi prediktif dan otomatis.
Distributed cyber defense framework based on federated learning for attack detection in defense infrastructure Saragih, Hondor; Saragih, Hoga; Manurung, Jonson; Adha, Rochedi Idul; Naibaho, Frainskoy Rio
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 1 (2026): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v9i1.346

Abstract

Cyber threats targeting defense infrastructure have escalated in complexity, rendering centralized intrusion detection systems insufficient due to their inability to guarantee data privacy across distributed military nodes. This study proposes a distributed cyber defense framework that employs federated learning to enable collaborative model training without transmitting raw network traffic beyond individual nodes. The framework integrates an adaptive aggregation strategy combining FedAvg and FedProx, a hybrid deep learning architecture consisting of convolutional neural networks and long short term memory networks, an autoencoder module for unsupervised anomaly detection, a Byzantine robust aggregation mechanism, and post hoc explainability through SHAP and LIME. Experiments were conducted on CIC IDS 2017, CIC IDS 2018, UNSW NB15, and a synthetically generated military network traffic dataset. The proposed framework attained a peak accuracy of 98.74% and an F1 score of 98.12% on CIC IDS 2017, consistently outperforming five baseline methods by up to 5.29 percentage points in F1 score. Future work will investigate differential privacy integration and model compression for deployment on resource constrained tactical edge devices.
The Effectiveness Of The Partnership Strategy Between Hotel Borobudur Jakarta And Art Education Institutions In The Effort To Preserve Traditional Indonesian Arts And Culture Alam, Taris Zakira; Saragih, Hoga
Community Engagement and Emergence Journal (CEEJ) Vol. 7 No. 5 (2026): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/5g2yzj12

Abstract

Competition in the modern hotel industry no longer relies solely on price, physical facilities, and service quality, but rather on differentiation strategies that create experiential value through intangible, authentic, and sustainable values. Leveraging culture as a strategic resource is a relevant approach to building a competitive advantage that is difficult to imitate. This research examines the cultural partnership undertaken by Hotel Borobudur Jakarta through the Discover Art & Batik program (October 2025) with the Jakarta Arts Institute, Digitalcom Academy, Jakarta State University, and Betawi painting maestro Sarnadi Adam. This partnership is positioned not as a ceremonial activity, but as a culture-based management strategy integrated with branding, CSR, and Creating Shared Value (CSV). The Discover Art & Batik program, which features traditional regional dances, seminars on Indonesian cultural writing, traditional Indonesian music, Betawi painting workshops, and Betawi painting exhibitions, represents the implementation of a non-financial differentiation strategy that leverages cultural value as a value-added business strategy. Within a strategic management framework, this activity demonstrates how culture can be ethically capitalized on as a source of competitive advantage without losing the essence of preserving traditional values. Using a grounded theory approach (open, axial, selective coding), the research focuses analysis on three main managerial aspects: (1) the challenges of cross-institutional partnerships, (2) partnership management strategies, and (3) the impact of partnerships on the organization. The results indicate that cultural partnerships function as a non-financial differentiation strategy that strengthens brand identity, brand equity, institutional reputation, and social legitimacy, while also supporting the preservation of traditional Indonesian culture. This study fills the research gap regarding hotel-arts institution partnerships as a sustainable management and branding strategy. The findings provide theoretical and practical contributions to the study of strategic management, partnership management, cultural-based branding, CSR, and CSV by positioning arts and culture as strategic resources within modern organizations.