Penerapan Pembelajaran Mesin (Machine Learning) dan Pembelajaran Dalam (Deep Learning) Berkinerja Tinggi untuk Mendukung Sektor Pertanian di Indonesia

Hilman Ferdinandus Pardede

doi:10.55981/brin.872

Penerapan Pembelajaran Mesin (Machine Learning) dan Pembelajaran Dalam (Deep Learning) Berkinerja Tinggi untuk Mendukung Sektor Pertanian di Indonesia

Authors

Hilman Ferdinandus Pardede

Badan Riset dan Inovasi Nasional

DOI: https://doi.org/10.55981/brin.872

Keywords:

Pembelajaran Mesin, Pembelajaran Dalam, Deep Convolutional Neural Networks, Identifikasi Penyakit Tanaman, Identifikasi Kualitas Pangan

Synopsis

Sektor pertanian adalah salah satu sektor strategis di Indonesia dan penerapan teknologi pembelajaran mesin dan pembelajaran dalam pada sektor ini dapat menjadi salah satu solusi mencapai ketahanan pangan. Akan tetapi, potensi tersebut belum digali secara optimal akibat kurangnya data dan kondisi geografis Indonesia. Pada naskah orasi ini dijabarkan beberapa penerapan teknologi pembelajaran mesin dan pembelajaran dalam pada sektor untuk mengatasi beberapa kendala tersebut. Pertama, beberapa dataset produk pertanian indonesia yang dapat digunakan sebagai data latih sistem pembelajaran mesin dan pembelajaran dalam untuk sistem identifikasi penyakit tanaman dan pengenalan kualitas pangan telah dihasilkan. Kedua, teknologi berbasis pembelajaran mesin dan pembelajaran dalam yang ringkas sehingga dapat diterapkan secara luring untuk menjangkau daerah geografis yang belum terjangkau fasilitas internet telah diperkenalkan. Ketiga, solusi model pembelajaran dalam yang tahan terhadap berbagai variasi dan kondisi data telah diusulkan.

Tidak dapat dipungkiri, tren penerapan kecerdasan artifisial, khususnya pembelajaran mesin dan pembelajaran dalam pada bidang pertanian akan semakin populer dimasa depan. Oleh karena itu penguasaan teknologi pembelajaran mesin dan pembelajaran dalam akan semakin penting di masa akan datang. Kolaborasi antar periset dan pegiat di bidang kecerdasan artifisial dengan pemangku kepentingan di bidang sektor pertanian seperti pemerintah, industri, maupun petani itu sendiri harus terus dibangun.

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Author Biography

Hilman Ferdinandus Pardede, Badan Riset dan Inovasi Nasional

Hilman Pardede lahir di Lubuk Pakam, 25 Juni 1982 adalah anak ke-empat dari Bapak Kitaman Pardede dan Ibu Sinta Siahaan. Menikah dengan Mariska Margaret Pitoi, S.Si., M.Sc. dan dikaruniai 3 orang anak, yaitu Gabe Ezekiel Pardede, Posma Eliezer Pardede, dan Hannah Elisha Pardede.
Berdasarkan Keputusan Presiden Republik Indonesia Nomor 51/M Tahun 2021, tanggal 9 November 2021 yang bersangkutan diangkat sebagai Peneliti Ahli Utama terhitung mulai 1 Desember 2021.
Berdasarkan Keputusan Kepala Badan Riset dan Inovasi Nasional No. 248/I/HK/2023 Tanggal 14 Agustus 2023 tentang Pembentukan Majelis Pengukuhan Profesor Riset, yang bersangkutan dapat melakukan pidato pengukuhan Profesor Riset.
Menamatkan Sekolah Dasar HKBP Lubuk Pakam, tahun 1994, Sekolah Menengah Pertama Negeri 1 Lubuk Pakam, tahun 1997, dan Sekolah Menengah Atas Negeri 1 Lubuk Pakam, tahun 2000. Memperoleh gelar Sarjana Teknik dari Universitas Indonesia tahun 2004, gelar Magister Master of Engineering in Information and Communication Technology (MEICT) dari The University of Western Australia tahun 2009, dan gelar Doktor bidang Ilmu Komputer dari Tokyo Institute of Technology tahun 2013. Setelah memperoleh gelar Doktor, melanjutkan Postdoctoral Research Fellow di Fondazione Bruno Kessler di Italia (2013–2015).
Mengikuti beberapa pelatihan yang terkait dengan bidang kompetensinya, antara lain Pelatihan Data Communication, Internet Technologies, and Multimedia Systems di Bandung (2005), Pelatihan The Course on Security: Principles, Techniques and Verification di Bandung (2005), Diklat Fungsional Peneliti Tingkat Pertama di Cibinong (2006), Pelatihan Predeparture Training Course for Postgraduate studies in Australia di Jakarta (2007), Pelatihan Introductory Academic Skills Program di Perth (2007), Diklat Peneliti Tingkat Lanjut di Cibinong (2016), Pelatihan ProGRANT: Proposal Writing for Research Grants di Jakarta (2016), Pelatihan Reviewer dan Tata Cara Penilaian Proposal Penelitian di Jakarta (2019).
Jabatan fungsional peneliti diawali sebagai Peneliti Ahli Pertama golongan III/a tahun 2007, Peneliti Ahli Muda golongan III/c tahun 2014, Peneliti Ahli Madya golongan IV/a tahun 2019, dan memperoleh jabatan Peneliti Ahli Utama golongan IV/d bidang Pengolahan Sinyal Multimedia dan Kecerdasan Artifisial tahun 2021.
Menghasilkan 77 karya tulis ilmiah (KTI), baik yang ditulis sendiri maupun bersama penulis lain dalam bentuk buku, jurnal, dan prosiding. Sebanyak 65 KTI ditulis dalam bahasa Inggris.
Ikut serta dalam pembinaan kader ilmiah, yaitu sebagai pembimbing jabatan fungsional peneliti pada Badan Riset dan Inovasi Nasional, pembimbing skripsi (S-1) pada Institut Teknologi Harapan Bangsa dan Universitas Negeri Jakarta, serta pembimbing tesis (S-2) pada STMIK Nusa Mandiri/Universitas Nusa Mandiri.
Menerima tanda penghargaan Satyalancana Karya Satya 10 Tahun (tahun 2015), dari Presiden RI.

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