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All Journal Seminar Nasional Informatika (SEMNASIF) IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Henkie Ongowarsito
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Computer Science & IT Control & Systems Engineering

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PERANCANGAN APLIKASI E-PROCUREMENT DI PT. INDESSO AROMA Henkie Ongowarsito
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 5 (2011): Information System and Application
Publisher : Jurusan Teknik Informatika

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Abstract

Penelitian ini mempelajari kinerja dan kepentingan dari sistem procurement di PT.Indesso Aroma dan mengembangkan aplikasi pendukung bagi sistem SAP saat ini. Metode analisis yang digunakan adalah perancangan e-procurement menggunakan metode OOAD dengan menggunakan notasi UML diagram. Dari analisis dan perancangan yang dilakukan, dihasilkan suatu aplikasi e-procurement yang memiliki beberapa fitur utama seperti Purchase Requisition, Purchase Order, Purchase Return, Supplier Katalog dan SupplierQuotation.
Pengembangan sistem pendukung keputusan berbasis AI untuk evaluasi ide konten digital pra-produksi Honggowidagdo, Hermawan; William, Thomas; Henkie Ongowarsito
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp109-118

Abstract

The rapid growth of short-form social media platforms has increased the complexity of decision-making during the digital content planning stage. Content creators are required to evaluate the feasibility of content ideas and determine platform suitability prior to production, while most existing tools primarily focus on post-publication analytics. This study aims to design an Artificial Intelligence (AI)-enabled Decision Support System (DSS) to evaluate digital content ideas in the pre-production stage. Adopting a Design Science Research approach, the study develops a conceptual design artifact that integrates intrinsic content idea characteristics with cognitive and affective response modeling grounded in the Stimulus–Organism–Response (S-O-R) framework, alongside platform affordance mapping. The proposed artifact operationalizes a reflective evaluation mechanism that generates platform recommendation scores and idea enhancement suggestions without claiming deterministic or predictive performance modeling. Evaluation was conducted qualitatively through practitioner assessment to examine perceived usefulness, clarity of recommendations, and decision support contribution. The findings indicate that the developed artifact provides a structured reflective framework for early-stage content evaluation. Theoretically, this study extends the application of the S-O-R framework by operationalizing it as a design logic for a pre-production DSS artifact. Practically, the proposed system has the potential to support more systematic decision-making prior to content production.
Co-Authors Honggowidagdo, Hermawan William, Thomas