Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Briliant: Jurnal Riset dan Konseptual
Mohammad, Luthfansyah
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
The necessity of implementing AI for enhancing safety in the Indonesian passenger shipping fleet Rahadi, Shinta J.A.; Prasetyo, Dimas Fajar; Hakim, Muhammad Luqman; Sari, Dian Purnama; Virliani, Putri; Rahadi, Cakra W.K.; Rina, Rina; Yulfani, R. D.; Mohammad, Luthfansyah; Kurnianingtyas, Diva
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 21, No 1 (2024): February
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v21i1.58868

Abstract

The shipping industry, grappling with escalating challenges, increasingly adopts Artificial Intelligence (AI) to enhance efficiency, safety, and environmental impact. Experts endorse ship automation and AI implementation for safety, navigation, and operational efficiency in ferry networks. This paper underscores AIS technology's role in maritime safety and environmental protection, emphasizing AI's potential in navigation and knowledge gap bridging. Indonesia, with its numerous islands and significant population, faces complex challenges in ensuring safe maritime transportation. Collaborative efforts among the government, industry, and stakeholders are vital for enhancing safety standards across the archipelago. Despite regulations, Indonesia contends with a high ferry accident rate, prompting the need for preventive measures. The study reviews AI's application in preventing sea accidents, recognizing its contributions and potential effectiveness in maritime safety. Acknowledging challenges like data quality and cybersecurity, the paper emphasizes the necessity of AI development for passenger ship safety. It concludes by highlighting significant research efforts, endorsing AI's promising role in reshaping the industry for improved efficiency and safety. Further exploration of AI applications, particularly in passenger ship safety, is recommended to meet evolving challenges in the maritime sector.
Evaluasi Hasil Kinerja Tekno-Ekonomi Pembangkit Listrik Tenaga Surya (PLTS) Pada Bangunan Perguruan Tinggi di Indonesia Mohammad, Luthfansyah; Istiqomah, Aulia; Tahier, Ahmad Ridlo Hanifudin; Syamputra, Dhani Nur Indra; Roodhiyah, Lisa’ Yihaa
BRILIANT: Jurnal Riset dan Konseptual Vol 8 No 2 (2023): Volume 8 Nomor 2, Mei 2023
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v8i2.1360

Abstract

Dimulainya kegiatan sekolah normal dan universitas membuat sektor pendidikan mengalami peningkatan konsumsi listrik dibandingkan tahun-tahun sebelumnya sebelum merebaknya pandemi. Sayangnya, peningkatan konsumsi listrik berbanding lurus dengan peningkatan emisi yang besar. Oleh karena itu, diperlukan penggunaan teknologi energi terbarukan yang ramah lingkungan yang dapat langsung diterapkan di bidang pendidikan. Studi ini berfokus pada evaluasi kinerja sistem panel surya yang telah terpasang di Gedung Dekanat Universitas Diponegoro, Indonesia. Dua metode digabungkan dalam melakukan analisis; Simulasi perangkat lunak PVsyst Versi 7.0, dan penilaian langsung. Hasil asesmen lapangan menunjukkan bahwa sistem yang terpasang mampu menghasilkan energi sebesar 37.068 MWh per tahun dan hanya memiliki selisih sebesar 3.372 MWh saat disimulasikan. Terdapat kerugian sebesar 2,02% dari nilai produksi ideal yang disebabkan oleh beberapa faktor klimatologis dan teknis. Secara umum dengan target penghematan energi sebesar 16,6%, sistem yang dibangun berhasil mencapai 16,51%. Analisis kelayakan ekonomi menunjukkan bahwa nilai Levelized Cost of Electricity adalah Rp. 1.153,93 per kWh, nilai Payback Period 9,4 tahun, Net Present Value sekitar Rp. 364.331.588,4, dan Return of Investment sebesar 102,1%. Akhirnya, berdasarkan penilaian evaluasi, dapat diputuskan bahwa secara teknis sistem dapat bekerja dengan lancar sesuai target yang ditentukan, memiliki proyeksi ekonomi yang menguntungkan, dan memiliki potensi nilai investasi yang positif
RANCANG BANGUN SISTEM AUTOMATED GUIDED VEHICLE (AGV) MENGGUNAKAN AGV LINE FOLLOWER BERBASIS FUZZY LOGIC CONTROL SEBAGAI PENENTU RUTE DAN BERAT BARANG Mohammad, Luthfansyah; Aulia Istiqomah; Ardani, Hanif Satrya
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 4 (2025): Volume 10 Nomor 4, November 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i4.2221

Abstract

The Automated Guided Vehicle (AGV) is a robotic innovation designed to assist in the process of delivering goods in the logistics sector of a factory. The stability of an AGV's movement has a direct impact on the safety of the goods it transports. This research aims to overcome this problem by designing and implementing an AGV mapping control system using a Fuzzy Inference System. The Load cell sensor is used as system input to measure the weight of the load carried by the AGV. The data from this sensor is then processed by the Fuzzy Inference System to produce information about the load value carried by the AGV. The research results showed that the AGV could determine the destination post when goods were placed in the load cell sensor. When the AGV was running, it went to the destination post according to the weight of the goods, and an accuracy of 100% and an error level of 5% were obtained from testing the load cell sensor.
Co-Authors Ardani, Hanif Satrya Aulia Istiqomah Dian Purnamasari Istiqomah, Aulia Kurnianingtyas, Diva Muhammad Luqman Hakim, Muhammad Luqman Prasetyo, Dimas Fajar Rahadi, Cakra W.K. Rahadi, Shinta J.A. Rina Rina Roodhiyah, Lisa’ Yihaa Syamputra, Dhani Nur Indra Tahier, Ahmad Ridlo Hanifudin Virliani, Putri Yulfani, R. D.