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rise_code_pendahuluan.md

1. FAO

TY  - BOOK
AU  - Food and Agriculture Organization of the United Nations
TI  - Safety at Sea and Decent Work in Fisheries and Aquaculture
PY  - 2021
CY  - Rome
PB  - Food and Agriculture Organization of the United Nations
ER  -

2. ILO

TY  - RPRT
AU  - International Labour Organization
TI  - Understanding working conditions of fishers in Indonesia: Evidence from the 2024 Survey on Decent Work in Marine Fishing
PY  - 2025
CY  - Jakarta
PB  - ILO Country Office for Indonesia and Timor-Leste
ER  -

3. Kabanov & Kramar

TY  - JOUR
AU  - Kabanov, A.
AU  - Kramar, V.
TI  - Marine Internet of Things Platforms for Interoperability of Marine Robotic Agents: An Overview of Concepts and Architectures
T2  - Journal of Marine Science and Engineering
VL  - 10
IS  - 9
SP  - 1279
PY  - 2022
DO  - 10.3390/jmse10091279
UR  - https://doi.org/10.3390/jmse10091279
ER  -

4. Kementerian Kelautan dan Perikanan RI

TY  - GOVDOC
AU  - Kementerian Kelautan dan Perikanan RI
TI  - Peraturan Menteri Kelautan dan Perikanan Nomor 23 Tahun 2021 tentang Standar Laik Operasi dan Sistem Pemantauan Kapal Perikanan
PY  - 2021
CY  - Jakarta
PB  - KKP RI
ER  -

5. KNKT

TY  - RPRT
AU  - Komite Nasional Keselamatan Transportasi
TI  - Buku Statistik Investigasi Kecelakaan Transportasi 2023
PY  - 2023
CY  - Jakarta
PB  - Komite Nasional Keselamatan Transportasi
ER  -

6. Lyimo et al.

TY  - JOUR
AU  - Lyimo, M.
AU  - Mgawe, B.
AU  - Leo, J.
AU  - Dida, M.
AU  - Michael, K.
TI  - Adaptive Antenna for Maritime LoRaWAN: A Systematic Review on Performance, Energy Efficiency, and Environmental Resilience
T2  - Sensors
VL  - 25
IS  - 19
SP  - 6110
PY  - 2025
DO  - 10.3390/s25196110
UR  - https://doi.org/10.3390/s25196110
ER  -

7. Nurnaningsih et al.

TY  - JOUR
AU  - Nurnaningsih, D.
AU  - Adi, K.
AU  - Surarso, B.
TI  - IMU-Based Early Warning System for Driver Drowsiness Detection via Head Movement Analysis
T2  - Jurnal Teknik Informatika
VL  - 18
IS  - 2
SP  - 270
EP  - 280
PY  - 2025
DO  - 10.15408/jti.v18i2.45271
UR  - https://doi.org/10.15408/jti.v18i2.45271
ER  -

8. Somvanshi et al.

TY  - JOUR
AU  - Somvanshi, S.
AU  - Islam, M. M.
AU  - Chhetri, G.
TI  - From Tiny Machine Learning to Tiny Deep Learning: A Survey
T2  - ACM Computing Surveys
VL  - 37
IS  - 4
SP  - 1
EP  - 38
PY  - 2025
ER  -

9. Sunardi et al.

TY  - JOUR
AU  - Sunardi
AU  - Choiron, M. A.
TI  - Fishing Vessel Safety in Indonesia: A Study of Accident Characteristics and Prevention Strategies
T2  - International Journal of Safety and Security Engineering
VL  - 14
IS  - 2
PY  - 2024
DO  - 10.18280/ijsse.140217
UR  - https://doi.org/10.18280/ijsse.140217
ER  -

Xie et al.

TY  - JOUR
AU  - Xie, M.
AU  - Liu, B.
AU  - Chen, X.
TI  - Deep learning-based fishing ground prediction with multiple environmental factors
T2  - Marine Life Science & Technology
VL  - 6
IS  - 4
SP  - 736
EP  - 749
PY  - 2024
DA  - 2024/04/29
DO  - 10.1007/s42995-024-00222-4
UR  - https://doi.org/10.1007/s42995-024-00222-4
AN  - 39620085
C2  - PMC11602920
ER  -
@yusuf601

yusuf601 commented May 4, 2026

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Author

Berikut konversi referensi tersebut ke format RIS:

  1. Cui, M.-X., He, K.-H., Wang, F., & Paik, J.-K.
TY  - JOUR
AU  - Cui, Ming-Xia
AU  - He, Ke-Han
AU  - Wang, Fang
AU  - Paik, Jeom-Kee
TI  - Human Digital Healthcare Engineering for Enhancing the Health and Well-Being of Seafarers and Offshore Workers: A Comprehensive Review
T2  - Systems
PY  - 2025
VL  - 13
IS  - 5
SP  - 335
DO  - 10.3390/systems13050335
ER  -

@yusuf601

yusuf601 commented May 6, 2026

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Author
  1. Kimpinde, S. L., & Olukanmi, P. O.
TY  - JOUR
AU  - Kimpinde, S. L.
AU  - Olukanmi, P. O.
TI  - Efficient Word-Level Sign Language Recognition Using Quantized Spatiotemporal Deep Learning for Low-Power Microcontrollers
T2  - Algorithms
PY  - 2026
VL  - 19
IS  - 4
SP  - 248
DO  - 10.3390/a19040248
UR  - https://doi.org/10.3390/a19040248
N1  - Preprint
ER  -
  1. Tamang, D., Pozzebon, A., Parri, L., Fort, A., & Abrardo, A.
TY  - JOUR
AU  - Tamang, D.
AU  - Pozzebon, A.
AU  - Parri, L.
AU  - Fort, A.
AU  - Abrardo, A.
TI  - Designing a Reliable and Low-Latency LoRaWAN Solution for Environmental Monitoring in Factories at Major Accident Risk
T2  - Sensors
PY  - 2022
VL  - 22
IS  - 6
SP  - 2372
DO  - 10.3390/s22062372
UR  - https://doi.org/10.3390/s22062372
ER  -
  1. Yang, X., & Roofigari-Esfahan, N.
TY  - JOUR
AU  - Yang, X.
AU  - Roofigari-Esfahan, N.
TI  - Vibrotactile Alerting to Prevent Accidents in Highway Construction Work Zones: An Exploratory Study
T2  - Sensors
PY  - 2023
VL  - 23
IS  - 12
SP  - 5651
DO  - 10.3390/s23125651
UR  - https://doi.org/10.3390/s23125651
ER  -

@yusuf601

yusuf601 commented May 7, 2026

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Author

1. Saul Davila-Gonzalez, 2. Sergio Martin

TY  - JOUR
AU  - Davila-Gonzalez, Saul
AU  - Martin, Sergio
TI  - Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics
T2  - Sensors
JO  - Sensors (Basel)
VL  - 24
IS  - 2
SP  - 655
PY  - 2024
DA  - 2024/01/19
PB  - MDPI
SN  - 1424-8220
DO  - 10.3390/s24020655
UR  - https://doi.org/10.3390/s24020655
ER  -

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