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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Rekayasa Mesin Indonesian Journal of Engineering Research Formosa Journal of Computer and Information Science Joong-Ki
Purwanti, Endang Pudji
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Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Pengelasan pada Stainless Steel dengan Tipe yang Berbeda Menggunakan Resistance Spot Welding untuk Aplikasi Gerbong Kereta Al Amin, Mochammad Karim; Firiambodo, Suthoni Yoga; Purwanti, Endang Pudji; Widodo, Eriek Wahyu Restu; Anggara, Dika
Jurnal Rekayasa Mesin Vol 16, No 3 (2021): Volume 16, Nomor 3, Desember 2021
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v16i3.2855

Abstract

Salah satu jenis proses pengelasan yang banyak digunakan di dunia industri Kereta Api adalah proses resistance spot welding. Proses pengelasan ini mempunyai banyak keunggulan pada pengelasan pelat tipis dengan menggunakan sambungan tumpang yang diaplikasikan pada side wall kereta api. Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh variasi parameter pengelasan yang meliputi current, weld time, dan pulsation terhadap shear strength, struktur mikro dan diameter nugget. Material yang digunakan adalah material SA-240 tipe 304 dan SA-240 tipe 201 dengan ketebalan 2 mm untuk material SA-240 tipe 304 dan tebal 3 mm untuk material SA-240 tipe 201. Pengujian shear strength diperoleh parameter resistance spot welding semakin tinggi, maka nilai shear strength juga semakin tinggi. Strukturmakro didapatkan semakin tinggi current, weld time, dan pulsation, maka nugget semakin lebar. Sedangkan pada hasil uji mikro pada daerah base metal struktur yang tebentuk adalah austenite, sedangkan pada daerah HAZ dan weld metal adalah struktur ferrit dan austenite. Ukuran butir pada daerah HAZ yang semakin mendekat ke daerah weld metal ukuran butirnya menjadi semakin besar. Struktur mikro yang terbentuk pada weld metal bentuknya memanjang (columnar grains) ke daerah yang mengalami pembekuan paling akhir.
Vessel Safety Monitoring System (VSMS) Based on LoRA for the Safety of Indonesian Traditional Fishers Nofandi, Faris; Mahendra , R; Purwanti, Endang Pudji
Indonesian Journal of Engineering Research Vol 3 No 1 (2022): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.v3i1.36

Abstract

Based on data obtained from Indonesian fisheries statistics, over ten years, it is known that 90% of the fishing fleet in Indonesia is dominated by fishing vessels under 30 GT. Generally, these vessels are not equipped with the calculations of the shipping architect or planning drawings. the large percentage of shipping disasters or vessel accidents in Indonesia, including fishing vessel accidents, is caused by several factors: 43.67% due to human error, 32.37% due to nature, 23.94% due to technical factors. Accidents due to bad weather cannot be avoided during fishing operations. However, with the quality of human resources and technical factors that have improved, it is hoped that vessel accidents can be avoided or minimized. According to the Global Maritime Distress and Safety System (GMDSS), vessels with the IMO standard are already based on satellite communications. Vessels required to use the GMDSS standard are vessels with a size of 300 GT and above. We develop a Vessel Safety Monitoring System (VSMS) which has a lower cost, which can be used to determine the vessel’s position and is added by using a distress button system such as the satellite-based GMDSS system. the communication from the coast guard post to the vessel uses the LoRA module based on radio frequency, although without pressing the distress button on the vessel, the device on the vessel will continue to send location, vessel's speed, and rpm to the coast guard station. If the distress button is pressed, the location will still be sent, the buzzer at the coast guard post will turn on, and the vessel's location can be seen on the local web server so that the coast guard post officers can immediately find out the coordinates of the vessel. It can minimize the time to search for the vessel's location because the vessel's coordinates are known. Based on the results of the Vessel Safety Monitoring System (VSMS) test, 10 data transmission from the vessel to the coast guard post can work on the land and the sea it can send nine types of data with 0 - 50 meters distance, it can send 1 type of data with a 0 - 100 meters distance, with an average delivery delay of 5 seconds. The amount of data and the delivery delay affects the working distance of the tool. The distress function or the danger signal requires data transmission for 0-15 seconds manually or automatically until the alarm goes off at the coast guard post since the vessel's danger signal is activated from the vessel to the coast guard post
Obstacles Detection in Underwater Environment Using ROV Based on Convolutional Neural Network Asri, Purwidi; Widiarti, Yuning; Purwanti, Endang Pudji; Wismawati, Endah; Arifin, M. Firman Tsany
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 1 (2025): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.101698

Abstract

Pada saat RoV berada dibawah air tidak sedikit obstacle yang dijumpai dan berpengaruh terhadap  kinerja dan keselamatan body ROV itu sendiri. Obyek yang tertangkap kamera ROV seringkali sulit untuk diidentifikasi dan dideteksi karena besarnya noise bawah air. Selain itu, sifat air yang membiaskan cahaya dan tingkat kejernihan air turut berpengaruh terhadap kualitas gambar yang dihasilkan. Untuk membantu dalam mengidentifikasi obyek yang ada di bawah air, maka pada penelitian ini proses identifikasi dilakukan dengan menggunakan Convolutional Neural Networks (CNN). CNN mengekstraksi fitur penting dari gambar melalui beberapa lapisan konvolusi. Setiap lapisan konvolusi menggunakan filter untuk mendeteksi pola seperti tepi, sudut, atau tekstur dari gambar input. Pada tahap akhir, fitur-fitur yang sudah diproses ini dihubungkan ke lapisan fully-connected yang bertindak sebagai pengklasifikasi. CNN kemudian memetakan fitur-fitur tersebut ke dalam kelas-kelas tertentu , misalnya objek seperti botol, tiang kayu, rantai, dan propeller. Dari pengujian secara real-time sistem berhasil menunjukkan performansi yang baik dengan akurasi validasi sebesar 99.25% dan akurasi klasifikasi real-time sebesar 85%. Hasil klasifikasi selanjutnya menentukan pergerakan thruster ROV.
Development of an IoT-Based Ship Engine Performance Monitoring System to Enhance Operational Efficiency Sutrisno, Imam; Umasangadji, Fahmi; Ardiansyah; Almuzani, Nafi; Bashori, Achmad; Mudjiono, Urip; Priyonggo, Projek; Purwanti, Endang Pudji
Formosa Journal of Computer and Information Science Vol. 4 No. 1 (2025): March 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i1.14134

Abstract

This research aims to develop an IoT-based ship engine performance monitoring system to enhance operational efficiency in marine vessels. The study introduces a real-time monitoring prototype integrating sensors, microcontrollers, and cloud-based data visualization. The variables observed include engine temperature, RPM, and fuel consumption. The methodology follows a design and implementation approach, tested on a diesel-powered training ship over a two-week observation period. Data were collected continuously and analyzed to detect performance anomalies and efficiency trends. Results show that the system improves situational awareness and enables proactive maintenance decisions. The developed system has implications for reducing fuel costs, extending engine life, and supporting digital transformation in marine engineering operations
Penguatan Karakter Entrepreneurial Siswa SMK Siang Surabaya melalui Edukasi dan Praktik Kewirausahaan Purwanti, Endang Pudji; Sutrisno, Imam
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 4 No. 3: Mei 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v4i3.8649

Abstract

Pendidikan kewirausahaan merupakan langkah strategis dalam menumbuhkan karakter entrepreneurial generasi muda. Kegiatan pengabdian ini bertujuan untuk memperkuat karakter wirausaha siswa SMK Siang Surabaya melalui edukasi dan praktik langsung kewirausahaan. Latar belakang kegiatan ini didasari oleh rendahnya minat siswa terhadap dunia usaha dan kurangnya pengalaman praktik yang relevan dengan kewirausahaan. Metode pelaksanaan kegiatan meliputi pelatihan kewirausahaan berbasis experiential learning, diskusi interaktif, dan praktik langsung pembuatan serta pemasaran produk. Selain itu, diberikan juga materi motivasi dan studi kasus wirausaha sukses untuk membangun pola pikir mandiri dan kreatif. Hasil kegiatan menunjukkan peningkatan minat dan pemahaman siswa terhadap kewirausahaan. Siswa menjadi lebih aktif dalam menyusun ide bisnis dan mampu mempresentasikan konsep usaha sederhana. Kegiatan ini terbukti efektif dalam membentuk karakter wirausaha, seperti sikap percaya diri, tanggung jawab, serta orientasi pada tindakan. Kegiatan pengabdian ini diharapkan dapat menjadi model pemberdayaan siswa SMK dalam mencetak calon wirausaha muda yang mandiri dan inovatif.
Co-Authors Almuzani, Nafi Ardiansyah Arifin, M. Firman Tsany Asri, Purwidi Bashori, Achmad C. I. Sutrisno Dika Anggara Eriek Wahyu Restu Widodo Faris Nofandi Firiambodo, Suthoni Yoga Mahendra , R Mochammad Karim Al Amin Projek Priyonggo Sumangun Lukitadi Umasangadji, Fahmi Urip Mudjiono, Urip Wismawati, Endah Yuning Widiarti, Yuning