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ANALISIS DINAMIKA PASAR DAN STRATEGI PENGENDALIAN PERSEDIAAN KOMODITAS STRATEGIS PADA SEKTOR MANAJEMEN BISNIS Irfan Widyanto; Muhammad Furqan Hakim; Sahril Saputra
Journal of Economic, Bussines and Accounting (COSTING) Vol. 9 No. 3 (2026): Journal of Economic, Bussines and Accounting (COSTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/x7xwqv28

Abstract

Ketidakseimbangan antara volume pasokan musiman dan permintaan konsumen menciptakan volatilitas pasar yang signifikan pada komoditas pangan dan industri. Penelitian ini bertujuan untuk menyajikan sintesis data historis mengenai pola fluktuasi harga dan efisiensi operasional persediaan berdasarkan literatur terdahulu. Metode penelitian menggunakan tinjauan data sekunder yang mencakup peramalan tren linier, regresi linear berganda, dan model Material Requirement Planning (MRP). Hasil data menunjukkan bahwa volatilitas harga di pasar induk dengan standar deviasi 18302,01 jauh lebih tinggi dibandingkan sentra produksi sebesar 15165,64. Struktur biaya produk menunjukkan bahwa efisiensi dapat ditingkatkan dengan mereduksi biaya transaksi sebesar 5% dan biaya penyusutan sebesar 2%. Kesimpulan dari data ini menekankan pentingnya integrasi algoritma Economic Order Quantity (EOQ) dan model peramalan prediktif untuk menjaga stabilitas margin keuntungan di tengah dinamika ekonomi yang terus berubah. Keywords : Fluktuasi Harga, Sektor FMCG, Economic Order Quantity, Rantai Pasok.
Development of an Integrated Web Portal for Universities, Faculties, and Study Programs Muhammad Hakim; Anggi Andika Pratama; Arga Chon Feriandref; Othman Ballan; Riman Abimayu; Beni Liantori; Irfan Widyanto; Sahril Saputra
JSI: Jurnal Sistem Informasi (E-Journal) Vol 18 No 1 (2026): JSI: Jurnal Sistem Informasi (E-Journal)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v18i1.615

Abstract

Digital transformation in the university environment requires the availability of an integrated, adaptive, and easily accessible information system for all academics. Universitas Graha Karya Muara Bulian (UGKMB) implements an integrated web portal that includes university, faculty, and study program portals as the main means of delivering academic and non-academic information. This study aims to analyze the implementation of the UGKMB portal consisting of the university portal (https://ugkmb.ac.id), the portal of the Faculty of Agriculture, Science and Technology (http://fpst.ugkmb.ac.id/), and the portal of the Information Systems Study Program (http://si.ugkmb.ac.id/). The research method used is a qualitative descriptive method with a case study approach, including needs analysis, system design, implementation, and functional evaluation. The results of the study show that the implementation of an integrated portal is able to improve information consistency, content management efficiency, and accessibility of academic information services. The integration of web structures and identities between organizational levels also supports strengthening institutional branding and information transparency. This research is expected to be a reference for other universities in developing structured and sustainable academic web portals.
INTEGRASI LLM DAN RAG DALAM PLATFORM CHATBOT TERPADU UNTUK LAYANAN INFORMASI AKADEMIK Muhammad Furqan Hakim; Hendra Finur; Riska Riska; Sahril Saputra
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 2 (2026): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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

Abstract

The utilization of Artificial Intelligence in academic information services is often hindered by the fragmentation of various Large Language Models (LLMs) and the models' lack of specific institutional knowledge. This study aims to design and build a unified web-based chatbot platform that integrates various AI service providers, including Google Gemini, Qwen, and models via OpenRouter (Llama, DeepSeek, Microsoft Phi), into a single interface. The application was developed using PHP with a secure architecture, utilizing HTML Purifier for output security and a responsive interface design based on Tailwind CSS. The key feature of this system is the implementation of the Retrieval-Augmented Generation (RAG) method, which enables the chatbot to provide accurate answers regarding specific information of Universitas Graha Karya (UGK) by referring to a local knowledge base, thereby minimizing AI hallucinations. Furthermore, the system is enhanced with Text-to-Speech (TTS), image generation, and video generation capabilities via the DashScope API. Test results demonstrate that this platform effectively improves the efficiency of academic information access by offering the flexibility to select AI models according to user needs and providing contextual, academically valid responses.