I Nyoman Sutapa
Industrial Engineering Department, Petra Christian University, Surabaya

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Rancangan Perbaikan Dokumen dan Pengendalian Hazard Analysis Critical Control Point Produk Olahan Fillet di PT “X” Joshua Revindy Chandra; I Nyoman Sutapa; Nova Sepadyati
Jurnal Titra Vol 7, No 2 (2019): Jurnal Titra
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.95 KB)

Abstract

This article discusses the design improvements documents and control of hazard analysis critical control point in a seafood processing company. This system ensures the quality by analyzing hazards on each process as well as to determine the appropriate responses to the process. Problems occurred is not ready to conduct the HACCP system, as in the determination of the potential dangers of the company causes opportunities do not judge objectively so that the risk is not accurate. Another problem that arises is the method of handling the prerequisite was implemented by the company in the form of Good Manufacturing Procedures (GMP) and Sanitation Standard Operating Procedures (SSOP) is irrelevant and incomplete. The results of this research are the odds cause potential dangers that are already associated with an existing data so that more accurate risk control priorities. Also, the research methods produce GMP and SSOP prerequisite programs are more complete and ready to be run by the company.
Mechanism Design-Based Mathematical Modeling of the Decoy Effect in Housing Type Selection Sentot Eko Baskoro; I Nyoman Sutapa; Suhartono Suhartono
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36937

Abstract

This study develops a mechanism design-based mathematical model to induce a decoy effect in housing selection, shifting consumer preferences from small to large house types. Using an area-per-price utility function and dominance constraints, two optimal decoy configurations (adjacent and strong) are derived analytically. We consider a developer offering a small house (500,000,000 IDR; 40 m2 building; 100 m2 land) and a large house (1,000,000,000 IDR; 100 m2 building; 200 m2 land), and design an additional decoy alternative. By imposing dominance and feasibility constraints, we derive closed-form conditions on the decoy's building area Ad and land area Ld for two price levels, 750,000,000 IDR and 850,000,000 IDR. The resulting adjacent ( = 0.002) and strong ( = 0.010) decoys ensure that the large house weakly dominates the decoy while maintaining internal consistency of preferences. Sensitivity analysis shows that the advantage margin increases linearly with proximity and context intensity parameters. The proposed framework provides developers with an operational and auditable mechanism for housing portfolio design.