Skip to content
Open access

A HFACS-Based Safety Learning Analysis of a CFIT Accident in Tropical Mountain Flight Operations

Sep 2026 · Jurnal Ragam Pengabdian · Vol 3, pp. 9634-9653 · 0 citations

Abstract

Controlled Flight Into Terrain (CFIT) remains a serious safety concern in tropical mountain flight operations, where changing weather, limited terrain clearance, and reduced visual references can narrow the options available during flight. This study examines the PK-SWW CFIT accident using the Human Factors Analysis and Classification System (HFACS) and framework-guided thematic analysis. The analysis used the final accident investigation report issued by the Indonesian National Transportation Safety Committee (KNKT). Relevant findings were extracted from the report, assigned descriptive codes, and classified into the four HFACS levels. The classified findings were then examined for recurring patterns and grouped into four analytical themes: degraded terrain awareness under deteriorating visual conditions; escalating VFR risk through flight-path and altitude decisions; TAWS effectiveness limitations as a safety barrier; and safety assurance deficiencies following aircraft modification. The case shows that the accident involved interacting environmental, human, technological, and organizational conditions rather than a single operational failure. These findings were further organized into a Safety Learning Matrix linking the identified risks with organizational learning objectives and recommended safety actions for tropical mountain flight operations.

Read PDF

Similar papers

Review Aug 2026

Why low-altitude aviation accidents become fatal: Evidence from U.S. National Transportation Safety Board Findings.

Low-altitude aviation accidents can become fatal when pilots have little time or altitude to recover after an abnormal event. Fatal outcomes, however, are rarely explained by altitude alone: they often depend on how human, aircraft, environmental, and operational factors combine within the accident sequence. This study...

Yang Cao, Tianlin Liu, Y.-J. Zhou et al. · 0 citations
Preprint Aug 2026

AISA: AI Safety Assistant Framework for Continuous Improvement of Highway Construction

Job Safety Analysis (JSA) and pre-task planning can benefit from prior incident records, yet historical accident data is often stored as unstructured narratives that are difficult to consult at the point of planning. A novel framework centered on large language models (LLMs) for highway construction safety reporting an...

M. Smetana, Trevor Neece, Lev Khazanovich · 0 citations
Open access Aug 2026

Helicopters in Civil Protection (Wildfires)—Fleet Reserve

The use of helicopters demands very accurate management and the correct use of assets. This is crucial in achieving good performance and avoiding tasks that could be inconducive to extinguishing the fire or even cause serious accidents. In the field of civil protection, very few studies present this or a similar type o...

Jorge Raposo, Hugo Raposo, André Rodrigues et al. · 0 citations
Open access Aug 2026

A Comparative Study of Decision-Support Approaches for Managing Aircraft Landing Gear Systems Reliability

Aircraft landing gear systems are essential to safe and efficient flight operations, as they operate under demanding conditions during takeoff, landing, and ground maneuvers. Because they are exposed to high loads and repeated stress, their reliability has a direct impact on safety, maintenance planning, and overall op...

Hrutwik D. Tambe, Swarna Nadipudi, B. Brentan et al. · 0 citations
Open access 2026

Failure Mode and Effects Analysis in AI Enable Cars: A Study in Guwahati City

The study explores the application of Failure Mode and Effects Analysis (FMEA) in Guwahati City's AI- enabled automobiles. Comprehending probable failure modes and their consequences is essential to improving vehicle safety and dependability as artificial intelligence technologies transform the automotive sector. In th...

Girban Bhattacharjee, Puja Sen, Saurav Dey · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.