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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) REKAYASA International Journal of Artificial Intelligence Research The Spirit of Society Journal : International Journal of Society Development and Engagement Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknik Elektro dan Komputer TRIAC Applied Technology and Computing Science Journal Infotekmesin Jambura Journal of Electrical and Electronics Engineering Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Ners Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Journal of Soft Computing Exploration JURNAL POLI-TEKNOLOGI Indonesian Journal of Innovation Multidisipliner Research Jurnal Cakrawala Maritim Indonesian Journal of Innovation Multidisipliner Research
Agus Khumaidi
Politeknik Perkapalan Negeri Surabaya
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Implementasi Algoritma Support Vector Machine (SVM) Untuk Diagnosis Kesehatan Manusia Berbasis Web Application Mifta Aulia Ramadhani; Agus Khumaidi
Jurnal Ners Vol. 9 No. 1 (2025): JANUARI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i1.31481

Abstract

Rumah sakit mempunyai peranan penting dalam kesehatan masyarakat. Namun, rumah sakit mempunyai banyak kekurangan salah satunya adalah dari segi pelayanan. Oleh karena itu, untuk meningkatkan efisiensi pelayanan rumah sakit dilakukan perancangan sistem diagnosis kesehatan manusia melalui aplikasi web berbasis kecerdasan buatan yaitu support vector machine. Support Vector Machine (SVM) merupakan algoritma supervised learning yang bekerja dengan cara mencari hyperplane antara dua kelas data hingga mendapatkan margin terbesar. SVM mempunyai beberapa keunggulan serta performa yang baik, seperti kemampuan generalisasi yang tinggi dan mempunyai fungsi kernel untuk digunakan pada dataset yang berdimensi tinggi sehingga sering digunakan di berbagai penelitian. Pengumpulan data dilakukan dengan penyebaran kuisioner kepada masyarakat umum dengan jumlah responden sebanyak 1.164 orang serta wawancara dengan expert judgement untuk menentukan 10 penyakit dan 40 gejala penyakit. Hasil penelitian menunjukkan tingkat akurasi pengujian diagnosis penyakit pasien mencapai 99%. Inovasi ini memungkinkan diagnosis gejala penyakit manusia dilakukan dengan lebih tepat dan cepat, sehingga diharapkan dapat meningkatkan produktivitas rumah sakit dan derajat kesehatan masyarakat Indonesia secara keseluruhan. Kata Kunci: Diagnosis Penyakit, Support Vector Machine (SVM), Rumah Sakit.
Coating Inspection on Sea Transportation Equipment (Ship) Using Image Processing Dianita Wardani; Agus Khumaidi; Rizal Fahmi; Imah Luluk Kusminah; Basuki Rahmat
Indonesian Journal of Innovation Multidisipliner Research Vol. 2 No. 2 (2024): April - Juni
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v2i2.133

Abstract

Research in the last decade, particularly in this research there are methods and steps for completion, namely 4 process steps, including: First of all, take samples and image data from the parts of the ship that are being repaired and maintained, Then, in making the prototype tool resulting from the coating, it is assembled using several tools, mini PC is installed with a web camera, next the image for the observation further processes and processed using the edge method contours detection with the help of cany to obtain the contrast and contour from the ship's hull. For next process, uses Neural Network for image creation processes taken from prototype plating or plating on observed ship parts. Some mixed results from the process. The images taken areand thenthe data obtained is processed and its form is observedfor shape, pattern,corrosion, contour and so on layers formed. There are two classifications of RGB and GLCM results, the rejected results can match the corrosion spot found on the hull, and the accepted results mean no corrosion spot found.
Coating Inspection on Sea Transportation Equipment (Ship) Using Image Processing Dianita Wardani; Agus Khumaidi; Rizal Fahmi; Imah Luluk Kusminah; Basuki Rahmat
Indonesian Journal of Innovation Multidisipliner Research Vol. 2 No. 2 (2024): April - Juni
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v2i2.133

Abstract

Research in the last decade, particularly in this research there are methods and steps for completion, namely 4 process steps, including: First of all, take samples and image data from the parts of the ship that are being repaired and maintained, Then, in making the prototype tool resulting from the coating, it is assembled using several tools, mini PC is installed with a web camera, next the image for the observation further processes and processed using the edge method contours detection with the help of cany to obtain the contrast and contour from the ship's hull. For next process, uses Neural Network for image creation processes taken from prototype plating or plating on observed ship parts. Some mixed results from the process. The images taken areand thenthe data obtained is processed and its form is observedfor shape, pattern,corrosion, contour and so on layers formed. There are two classifications of RGB and GLCM results, the rejected results can match the corrosion spot found on the hull, and the accepted results mean no corrosion spot found.
Co-Authors Abdul Hafizh Abyan Faruq Abyan Faruq, Abdul Hafizh Achmad, Vandy Adhitiya, Ryan Yudha Adhitya, Ryan Yudha Adi Rahmad Ramadhan Adi Wisnu Sahputera Adianto Adianto Afianto, Afif Zuhri AGUS DWI SANTOSO Am Maisarah Disrinama Anggarjuna Puncak Pujiputra Ardiana, Mirza Arfianto, Afif Zuhri Arief Subekti Arninputranto, Wibowo Arumsari, Nurvita Astutik, Rina Puji Aulia Rahma Annisa Bagus Setiawan, Danis Basuki Rahmat Basuki Rahmat, Mohammad Bayu, Nurissabiqoh Binta Bhakti Bhakti Budi, Perdinan Setia Budiawati, Ratna Budiyanto, Ekky Nur C. I. Sutrisno Cahyadi, Nurahmad Hadi Cahyono, Ferry Budi Danis Bagus Setiawan Darmawan, Wahyu Dewi Kurniasih Dianita Wardani Dianita Wardani Dika Rahayu Widiana Endrasmono, Joko Fadlol, Muhammad Thoriq Faturrahman, Bima Fitri Hardiyanti Hafid, Mohammad Arigo Al. Hananta A Hasin, Muhammad Khoirul Hendro Agus Widodo, Hendro Agus Ihsania, Tsabita Ii Munadhif Imah Luluk Kusminah Imam Sutrisno Imam Sutrisno Imam Sutrisno Indriawati, Melta Anindya Irfan Marzuqi Irma Rustini Aju Joesianto Eko Poetro Joko Endrasmono Joko Endrasmono Khoirun Nasikhin Kusumah, Adam Lilik Subiyanto M. Basuki Rahmat Mades Darul Khairansyah Malik, Alfianto Taufiqul Mat Syai’in Mifta Aulia Ramadhani Mochamad Yusuf Santoso Mohammad Abu Jami’in Mohammad Basuki Rahmat Mujtaba Fa'akuli Zazila Mustika Kurnia Mayangsari Nasikhin, Khoirun Oktavia, Shelly Pradana, Rizal Lucky Prahasta, Brendi Pristovani Riananda, Dimas Pristovani, Dimas Projek Priyonggo Sumangun Lukitadi Pujiputra, Anggarjuna Puncak Putra, Zindhu Maulana Ahmad Rafsanjani, Zainu Rahmat, M. Basuki Rahmawati, Nanda Putri Riananda, Dimas Pristovani Rinanto, Noorman Rizal Fahmi Rizky, Sofi Berliana Romadloni, Faiz Ryan Yudha Adhitya Setiani, Vivin Setyawati, Emeralda Eka Putri Sholahuddin Muhammad Irsyad Sholihah, Mar'atus Sri Wiwoho Mudjanarko, Sri Wiwoho Sryang T Sarena Suwandi, Donny Aryo Seno Syai’in, Mat Syai’in Wahyudi, Mohammad Thoriq Wibowo, Sekarsari Wisnu Sahputera, Adi Yudha Adhitya, Ryan Yuning Widiarti Zindhu Maulana Ahmad Putra