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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Fisika FLUX SISFOTENIKA JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknik Elektro dan Komputer TRIAC Infotekmesin Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri International Journal of Marine Engineering Innovation and Research Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI) Jurnal Kewarganegaraan Joule (Journal of Electrical Engineering) Journal of Applied Smart Electrical Network and System (JASENS) Journal of Soft Computing Exploration Hukum Responsif : Jurnal Ilmiah Fakultas Hukum Universitas Swadaya Gunung Jati Cirebon Brilliance: Research of Artificial Intelligence IHSAN : Jurnal Pendidikan Islam Blantika : Multidisciplinary Journal Jurnal 7 Samudra Politeknik Pelayaran Surabaya QOSIM: Jurnal Pendidikan, Sosial & Humaniora Frontiers in Community Service and Empowerment Nomico Jurnal Teknologi Maritim Jurnal Cakrawala Maritim Journal of Islamic Economy Jurnal Teknologi Maritim International Conference on Maritime Technology and Its Application
Edy Setiawan
Politeknik Perkapalan Negeri Surabaya
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Implementasi Sistem Filtrasi Air Alami Terintegrasi Sensor TDS dan ESP32 Untuk Pemenuhan Baku Mutu Air Kelas Lugas Jagad Satrianata; Edy Setiawan; Anda Iviana Juniani; Anggara Trisna Nugraha
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 3 (2024): Jurnal Elkolind Vol. 11 No. 3 (September 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i3.6157

Abstract

Penelitian ini mengimplementasikan sistem filtrasi air alami untuk memenuhi standar baku mutu air kelas 3 sesuai PP No. 22/2021, dengan fokus pada Total Dissolved Solids (TDS). Sistem menggunakan bahan alami seperti karang jahe, ziolit, batu apung, oyster, bioball, dan bioring untuk menyaring kontaminan air. TDS dipantau secara real-time menggunakan sensor TDS yang terintegrasi dengan mikrokontroler ESP32. Pengujian pada sampel air kolam menunjukkan penurunan TDS dari 1619 ppm menjadi 443 ppm, di bawah batas maksimum 1000 ppm. Sensor TDS menunjukkan akurasi baik dengan error 1,94% untuk air kotor dan 10,38% untuk air bersih. Hasil ini menunjukkan potensi filtrasi air alami sebagai solusi efektif dan terjangkau untuk meningkatkan kualitas air. Penelitian lebih lanjut diperlukan untuk evaluasi jangka panjang dan parameter kualitas air lainnya.
EXPLORING THE ROLE OF QUICK COUNT IN ELECTIONS: BETWEEN TRANSPARENCY AND CONTROVERSY Pabiangan, Netty; Sukardi, Didi; Setiawan, Edy
Hukum Responsif Vol 15 No 2 (2024)
Publisher : Fakultas Hukum Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/responsif.v15i2.9533

Abstract

Quick count is a method of counting election results that is carried out by taking samples of votes from some polling stations (TPS) to predict the final results of the election. Quick counts have become essential in the democratic process, providing fast and accurate preliminary information about election results and serving as a social control tool that prevents fraud. However, the quick count is also not free from controversy. Some parties doubt the accuracy and independence of the survey institutions that conduct the quick count, given the potential for bias and political pressure. In addition, the quick count results that are different from the official results from the KPU (General Election Commission) can trigger tension and distrust among the public. Therefore, survey institutions must maintain integrity and transparency in implementing quick counts to ensure public trust and legitimacy of the election process.
Alat Deteksi Suara Gergaji Sebagai Indikasi Awal Terjadinya Penebangan Menggunakan Metode Convolutional Neural Network Surya Ningrum, Ana; Adianto; Indarti, Rini; Setiawan, Edy; Arfianto, Afif Zuhri; Ahmad Putra, Zindhu Maulana
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2304

Abstract

Illegal logging in Indonesia is no small problem, with illegal logging causing damage to forest resources in terms of quantity, quality and ecosystem. Many efforts have been taken by the Indonesian government, but it has not been effective in dealing with this problem, due to limited supervision. From this problem, a chainsaw sound detection system was designed as an early indication of logging activity. This system is equipped with four MAX4466 sound sensors using the Convolutional Neural Network method. This system also uses data processing so that the chainsaw sound can be recognized by the system specifically and can communicate remotely with the use of LoRa RFM95. Thus, the system can identify the sound of the chainsaw with a maximum distance of 50 m, the success accuracy of the CNN model created reaches 97.5%, and can be integrated with WhatsApp in realtime.
Pengembangan Desain Pendidikan Karakter Berbasis Sirah Nabawi: Studi Kasus Maghazi Rasulullah SAW Pada Kalangan Santri Ma’had Aly An-Nur 2 Malang Agustin, Emilda Fibyani; Setiawan, Edy; Amrillah, Sutan Faiz; Saputra, Mohammad Febri Irawan; Acetylena, Sita
Jurnal Pendidikan Tambusai Vol. 9 No. 3 (2025): Desember
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk menghasilkan model desain pendidikan karakter yang terintegrasi dan efektif berbasis Sirah Nabawi, dengan fokus studi kasus pada peristiwa Maghazi Rasulullah SAW, bagi santri Ma'had Aly An-Nur 2 Malang. Desain yang dikembangkan berorientasi pada internalisasi nilai-nilai fundamental seperti kepemimpinan profetik, strategi, syaja'ah (keberanian), dan istiqomah yang diekstraksi langsung dari Maghazi. Dengan menggunakan metode Research and Development (R&D) model ADDIE (Analysis, Design, Development, Implementation, Evaluation), penelitian ini telah berhasil mengembangkan dan menguji efektivitas desain pendidikan karakter yang berfokus pada integrasi nilai-nilai dari maghazi (ekspedisi/perang) Rasulullah SAW ke dalam kurikulum dan kegiatan Ma'had Aly, seperti kepemimpinan, disiplin, keberanian moral (Syaja'ah), ukhuwah, dan keseimbangan tawakkal dan kerja keras yang bersifat praktis dan aplikatif, melampaui konsep ideal semata. Penelitian ini diharapkan dapat memberikan kontribusi metodologi dalam pengajaran sirah nabawi yang transformatif.
PERENCANAAN TRANSFORMATOR PADA ELEKTRIFIKASI CONTAINER CRANE UNTUK OPERASI BONGKAR MUAT Setiawan, Edy; Annas Singgih Setiyoko; Galih Anindita; Yudi Andika; Evi Nafiatus Sholikhah
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/j5da7y85

Abstract

Sistem bongkar muat pelabuhan mencakup semua komponen atau peralatan penanganan muatan yang mendukung proses bongkar muat baik dari kapal ke pelabuhan maupun sebaliknya. Dalam penanganan pelabuhan, ini melibatkan pembongkaran dari kapal dengan memakai crane dan sling kapal ke daratan terdekat, umumnya dikenal sebagai dermaga. Crane adalah alat yang digunakan untuk mengangkat dan memindahkan material yang juga membutuhkan energi listrik. Untuk itu diperlukan sumber daya listrik untuk kegiatan operasional bongkar muat. Kebutuhan sumber daya listrik yang diperlukan, digunakan juga dalam menentukan kapasitas transformator distribusi yang terpasang. Untuk menentukan semua itu berdasar keberadaan beban yang digunakan sebagai acuan utama dalam beban listrik yang diharapkan. Beban diklasifikasikan sesuai dengan sifat, yaitu continue dan terputus-putus (intermittent). Beban terputus-putus (intermittent) tergantung faktor siklus kerja yang dapat ditambahkan pada beban kontinyu untuk mendapatkan beban rata-rata (average load). Beban listrik ditentukan berdasarkan konsep di atas, dengan margin ditambah 30% di atas beban rata-rata dengan memasukkan perubahan beban pada kerangka pemakai pada saat pengembangan dan implementasi perubahan diwaktu mendatang. Berdasarkan hasil studi lapangan pada operasional bongkar muat di Surabaya yang menjadi lokasi penelitian ini, menunjukkan transformator yang terpasang pada Container Crane (T4 2500 kVA/20/6,6 kV) dan transformator yang terpasang pada RTG Crane (T1 1250 kVA/20/0,4 kV) sudah sesuai dengan kapasitas transformator yang seharusnya.
Corrosion Detection on Ship Hull Using ROV Based on Convolutional Neural Network Yuning Widiarti; Edy Setiawan; Hendra Aldi Prasetiyo; Budianto Prasetiyo; Imam Sutrisno; Andianto; Mohammad Basuki Rahmat
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 1 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.5071

Abstract

The Remotely Operated Underwater Vehicle (ROV) has several inspection functions. One of them is the inspection function for hull damage. The damage that often occurs in the hull is corrosion. The corrosion can cause a decrease in the strength of the hull plate, reduce the speed of the ship, and decrease the quality of the safety level of ships and passengers. This study aims to classify the level of corrosion intensity on ship hulls by implementing a Convolutional Neural Network (CNN). Identification is carried out on images taken by underwater cameras via a Remotely Operated Vehicle (ROV). The intensity of the area affected by corrosion is identified so that the level of corrosion intensity can be classified and it can be considered that the ship needs maintenance to prevent even greater losses due to corrosion. The dataset used is 240 image data divided into 3 classification categories: low, medium, and high corrosion intensity. The accuracy of the real-time testing of the CNN method on the dataset plate when conditions outside the water reached 91.1% and on the dataset plate when conditions underwater reached 86.6%.
Co-Authors Abiyajid Bustami Achmad Syahid Achmad Syahid, Achmad Adhitya, Ryan Yudha Adianto Adianto Agnes Sholikhah Agustin, Emilda Fibyani Ahmad Alam Ardiansyah Ahmad Navis Hidayat Aldianto, Viky Alif Zuhri Arfianto Amelia, Putri Aminatus Sa’diyah Amrillah, Sutan Faiz Ana Surya Ningrum Anda Iviana Juniani Andianto Andika Aldo Pratama Anggara Trisna Nugraha Anggie Oktavia Putri Annas Singgih Setiyoko Ar Rahmah, Nur Zafira Arya Ardiansyah, Ade Reza Ardit Mauladana Arfianto, Afif Zuhri Arfianto, Alif Zuhri Asri, Purwidi Ayus ahmad Yusuf Bayu Isnanta Trisna Budianto Prasetiyo C. I. Sutrisno Devanka Alfahdiya Ivandika Devina Puspita Sari Devina Puspitasari Didik Sukoco Diego Ilham Yoga Agna Dimas Aditya Prabowo Edy Prasetyo Hidayat Emilda Fibyani Agustin Evi Nafiatus Sholikhah Faiz Amrillah, Sutan Fajar Astuti Hermawati Fajar Rahmat Adzani Faris Riyadi Farla Melvia Ramadhani Fibyani Agustin, Emilda Galang Eka Dharma Galih Anindita Handandi, Zukhruf Zidane Hanif, Utsman Hartanto, Tri Mulyatno Budhi Hasin, Muhammad Khoirul Hendra Aldi Prasetiyo Hidayana, Elmi I Made Kastiawan Ibnu Alfain, Wahid Ii Munadhif Imam Sutrisno Isa Rachman Ivan Nur Rahman Joko Endrasmono Judijanto, Loso Laili Agustin Widyaningrum Lugas Jagad Satrianata Lukman Handoko M Alfa Reza Mades Darul Khairansyah Mat Syai'in Maulana Ahmad Putra, Zindhu Mey Rohma Dhani Mochamad Yusuf Santoso Mohammad Basuki Rahmat Muhamad Ari Muhammad Bilhaq Ashlah Muhammad Husni Muhammad Izzul Haj Mukhammad Jamaludin Ni'matut Tamimah Pabiangan, Netty Ponti Almas Karamina Prabowo, Dimas Aditya Pristovani Riananda, Dimas Putri, Anggie Oktavia Rahman, Farhan Wahyu Nur Rahmania Firdiansyah Renanda Nia Rachmadita Richo Richo Richo, Richo Rinanto, Noorman Rini Indarti Rini Indarti Ronaldo, Reza Ryan Yudha Adhitya Salsabila Ika Yuniza Saputra, Mohammad Febri Irawan Sartika Eris Maghfiroh, Intan Satrianata, Lugas Jagad Sita Acetylena Sita Acetylena, Sita Suci Indaryani Sumadi Buton Surya Ningrum, Ana Sutan Faiz Amrillah Syafiuddin Syai’in, Mat Totok Yulianto Tri Mulyatno Budhi Hartanto Tyroni Mursityo, Yusi Viky Aldianto Wiediartini Wiediartini Yudi Andika Yuning Widiarti Zidny, Farhan Fawwaz Zindhu Maulana Ahmad Putra Zindhu Maulana Ahmad Putra Zulfan Syahansyah