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Faktor Faktor yang Mempengaruhi Nakhoda dalam Pengambilan Keputusan saat Kapal Mengalami Situasi Bahaya Pribadi, Teguh; Rahayu, Trisnowat; Eddi, Eddi
Jurnal Sosial Teknologi Vol. 4 No. 10 (2024): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v4i10.23177

Abstract

Penelitian ini adalah menganalisis dan mengidentifikasi serta menjelaskan berbagai keputusan yang diambil oleh nakhoda, serta mengevaluasi konsekuensi langsungnya terhadap aspek-aspek kritis saat kapal berlayar sedang mengalami situasi darurat. Metodologi penelitian adalah kualitatif dan deskriptif kuantitatif. Data yang terkumpul akan dianalisis dengan melakukan wawancara yang mendalam dengan nakhoda mengenai tindakan nakhoda saat menghadapi situasi darurat, dengan mengutamakan  keselamatan awak, muatan dan kapalnya saat menghadapi situasi darurat. Penelitian ini bertujuan memberikan kontribusi untuk pengembangan yang lebih baik dalam pengoperasian kapal secara aman. Kesimpulan dan rekomendasi dari penelitian ini dapat memberikan panduan praktis bagi Perusahaan Pelayaran dan Nakhoda untuk lebih meningkatkan aspek-aspek keselamatan di kapal. Hasil dari penelitian ini diketahui bahwa faktor-faktor yang mempengaruhi Nakhoda saat menghadapi situasi darurat disimpulkan bahwa nakhoda seringkali menghadapi tekanan mental yang tinggi, kecemasan, dan stres yang dapat mempengaruhi pengambilan keputusan. Tekanan tersebut, jika tidak dikelola dengan baik, dapat menyebabkan kekeliruan dalam menilai situasi dan mengambil keputusan yang kurang akurat. Secara keseluruhan dapat disarankan bahwa menekankan pentingnya pelatihan rutin dan perawatan kapal secara berkala dapat lebih meningkatkan kesiapsiagaan Nakhoda dalam menghadapi situasi darurat yang tidak menentu.
Design and Construction of Fire Detection Equipment on Electrical Panels Automatically Using IOT Aji Bimansyah, Hendra; Mulyanto Herlambang, Sri; Eddi, Eddi
SAINSTECH NUSANTARA Vol. 1 No. 1 (2024): February 2024
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v1i1.42

Abstract

Fires in electrical panels are a common problem experienced when electrical shorts occur. This research was carried out to identify and overcome the electrical panel fire problem. Therefore, the researchers automatically made a fire detection device on electrical panels based on the Internet of Things. This study uses NodeMCU ESP8266 Wifi Module as a microcontroller and DHT11 and MQ-2 as sensors. When a fire is demonstrated, or there is smoke and gas to detect a fire hazard on the electrical panel. In this fire detection device, a test of the DHT11 and MQ-2 sensors is carried out, which will turn on the fire alarm system in the form of a buzzer through the NodeMCU ESP8266 microcontroller command, and the results of the test of the tool will be displayed in a real-time database on the firebase. Testing the fire detection device on the electrical panel automatically uses a match tool and sensor readings to read the presence of a fire in the electrical panel. This measurement difference raises the value of the percentage error in the measurement tool.
Sound-Based Light Control System in The Ship's Room With Uno Arduino Kurniawan, Edi; Adnin Nanda Pratama, Maverik; Eddi, Eddi
SAINSTECH NUSANTARA Vol. 1 No. 1 (2024): February 2024
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v1i1.43

Abstract

Technological advances have given us many advantages, electronic devices and new procedures. Technological advances can also have negative side impacts if not used appropriately and correctly. In particular, it covers risks arising from careless use of electricity and accidents in the workplace. The research method used is research and development; data is obtained by carrying out direct observations on the tools when assembled. With this sound-based system for turning on the lights, you will be able to control the turning on and off of the lights just by sound, which means you can find out whether the lights are on or off and will be given information via a 16x2 LCD which has been programmed on the Arduino UNO to detect frequencies. The sound sensor on the system receives sound.