{"id":107291,"date":"2026-02-20T14:57:14","date_gmt":"2026-02-20T07:57:14","guid":{"rendered":"https:\/\/www.its.ac.id\/news\/?p=107291"},"modified":"2026-02-20T14:57:14","modified_gmt":"2026-02-20T07:57:14","slug":"doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring","status":"publish","type":"post","link":"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/","title":{"rendered":"Doktor ITS Kembangkan Sistem Peringatan Dini Risiko Pembelajaran Daring"},"content":{"rendered":"
\"\"
Dr Bruri Trya Sartana SKom MM MKom saat melakukan presentasi disertasinya dalam Sidang Terbuka Promosi Doktor Departemen Teknik Elektro ITS di Tower 2 ITS<\/figcaption><\/figure>\n

Kampus ITS, ITS News \u2014\u00a0<\/strong>Tren pembelajaran daring yang berfokus pada peningkatan nilai akhir seringkali menyebabkan kegagalan dalam evaluasi belajar siswa. Melihat persoalan tersebut, lulusan program doktoral Departemen Teknik Elektro Institut Teknologi Sepuluh Nopember (ITS)<\/a> Dr Bruri Trya Sartana SKom MM MKom mengembangkan model sistem peringatan dini yang memanfaatkan data perilaku belajar untuk mengidentifikasi risiko akademik pembelajaran daring.<\/p><\/blockquote>\n

Bruri mengungkapkan, sistem pembelajaran daring yang memanfaatkan Learning Management System<\/em> (LMS) berpotensi menimbulkan pola-pola kegagalan dalam belajar. Ia menggunakan jejak digital yang mencakup aktivitas akses materi, interaksi, serta pola penyelesaian tugas untuk mengamati pola-pola yang menyebabkan kegagalan. \u201cEvaluasi akhir yang hanya memanfaatkan nilai akhir kurang efektif dalam menilai keberhasilan belajar siswa,\u201d jelasnya.<\/p>\n

Lebih lanjut, dosen Fakultas Teknologi Informasi Universitas Budi Luhur tersebut menambahkan bahwa risiko akademik merupakan faktor yang multidimensional. Faktor-faktor tersebut dapat dilihat dari pola keterlibatan belajar siswa, stabilitas performa asesmen, dan perilaku prokrastinasi dalam menyelesaikan tugas. \u201cFaktor demografis turut diukur terhadap kemungkinan risiko kegagalan belajar siswa,\u201d tambahnya.<\/p>\n

Dalam mengembangkan penelitiannya, lelaki asal Jakarta itu menggunakan pendekatan machine learning non-linear <\/em>dalam memodelkan hubungan antara variabel perilaku belajar dan risiko akademik. Dataset utama yang digunakan adalah Open University Learning Analytics Dataset<\/em> (OULAD) yang kemudian divalidasi menggunakan data LMS Moodle institusional. \u201cHal tersebut bertujuan untuk memastikan relevansi dalam implementasi di lingkup pendidikan,\u201d terangnya.<\/p>\n

\"\"
Dr Bruri Trya Sartana SKom MM MKom (berdiri) saat melakukan presentasi disertasi dalam Sidang Tertutup di Departemen Teknik Elektro ITS<\/figcaption><\/figure>\n

Selain itu, Bruri juga menggunakan model penelitian Categorical Boosting<\/em> (CatBoost) dengan proses optimasi hiperparameter melalui framework<\/em> Optuna. Untuk menjamin reliabilitas model, evaluasi dilakukan menggunakan metode 5-fold stratified cross validation<\/em>. \u201cPendekatan ini memungkinkan distribusi data yang seimbang, sehingga hasil evaluasi menjadi lebih stabil dan minim bias,\u201d paparnya.<\/p>\n

Melalui kombinasi pendekatan tersebut, Bruri menjelaskan bahwa model CatBoost mampu memberikan performa paling unggul dibandingkan model pembanding lainnya. Keunggulan tersebut terlihat pada nilai Area Under Curve<\/em> (AUC), tingkat akurasi, serta konsistensi hasil pada setiap tahap pengujian. \u201cModel ini mampu mendeteksi mahasiswa berisiko sebelum memasuki tahap evaluasi akhir,\u201d ungkapnya.<\/p>\n

Dengan kombinasi tersebut, Bruri merancang sistem peringatan dini berdasarkan rentang waktu tertentu. Ia membagi mekanisme deteksi risiko ke dalam tiga tahap, yakni jangka pendek, jangka menengah, dan jangka panjang. \u201cSistem ini dapat mendeteksi risiko waktu dekat hingga menghasilkan proyeksi potensi keterlambatan kelulusan,\u201d jelasnya.<\/p>\n

Pada tahap jangka pendek, Bruri menuturkan bahwa sistem akan mengidentifikasi mahasiswa yang mulai menunjukkan penurunan keterlibatan belajar, seperti terlambat dalam mengumpulkan tugas. Tahap jangka menengah akan memantau stabilitas performa asesmen dan pola konsistensi akademik. \u201cTahap jangka panjang dirancang untuk memproyeksikan kemungkinan mahasiswa tidak mencapai target kelulusan tepat waktu berdasarkan performa dan perilaku belajar yang terdeteksi sejak awal,\u201d bebernya.<\/p>\n

Temuan ini membuktikan bahwa integrasi data LMS dengan pendekatan machine learning non-linear<\/em> dapat menjadi fondasi sistem peringatan dini yang akurat dan aplikatif. Lelaki berkcamata itu menjelaskan bahwa penelitian ini mendukung komitmen Sustainable Development Goals<\/em> (SDGs) pada poin ke-4, yakni Pendidikan Berkualitas. Dengan implementasi yang tepat, penelitian ini dapat membantu institusi pendidikan dalam meningkatkan keberhasilan pembelajaran daring secara berkelanjutan. (HUMAS ITS)<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

Reporter: Hani Aqilah Safitri<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Kampus ITS, ITS News \u2014\u00a0Tren pembelajaran daring yang berfokus pada peningkatan nilai akhir seringkali menyebabkan kegagalan dalam evaluasi belajar siswa. Melihat persoalan tersebut, lulusan program doktoral Departemen Teknik Elektro Institut Teknologi Sepuluh Nopember (ITS) Dr Bruri Trya Sartana SKom MM MKom mengembangkan model sistem peringatan dini yang memanfaatkan data perilaku belajar untuk mengidentifikasi risiko akademik […]<\/p>\n","protected":false},"author":321,"featured_media":107293,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4007,14,4033,4077,3669],"tags":[],"class_list":["post-107291","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-berita-terkini","category-berita-utama","category-fte-en","category-electics","category-quality-education"],"yoast_head":"\nDoktor ITS Kembangkan Sistem Peringatan Dini Risiko Pembelajaran Daring - ITS News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Doktor ITS Kembangkan Sistem Peringatan Dini Risiko Pembelajaran Daring - ITS News\" \/>\n<meta property=\"og:description\" content=\"Kampus ITS, ITS News \u2014\u00a0Tren pembelajaran daring yang berfokus pada peningkatan nilai akhir seringkali menyebabkan kegagalan dalam evaluasi belajar siswa. Melihat persoalan tersebut, lulusan program doktoral Departemen Teknik Elektro Institut Teknologi Sepuluh Nopember (ITS) Dr Bruri Trya Sartana SKom MM MKom mengembangkan model sistem peringatan dini yang memanfaatkan data perilaku belajar untuk mengidentifikasi risiko akademik […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/\" \/>\n<meta property=\"og:site_name\" content=\"ITS News\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-20T07:57:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.its.ac.id\/news\/wp-content\/uploads\/sites\/2\/2026\/02\/Dr-Bruri-Trya-Sartana-SKom-MM-MKom-saat-melakukan-presentasi-disertasinya-dalam-Sidang-Terbuka-Promosi-Doktor-Departemen-Teknik-Elektro-ITS-di-Tower-2-ITS.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"853\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"indahts\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"indahts\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/\"},\"author\":{\"name\":\"indahts\",\"@id\":\"https:\/\/www.its.ac.id\/news\/#\/schema\/person\/647f78d8c8ff2646548607ba07360453\"},\"headline\":\"Doktor ITS Kembangkan Sistem Peringatan Dini Risiko Pembelajaran Daring\",\"datePublished\":\"2026-02-20T07:57:14+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/\"},\"wordCount\":534,\"publisher\":{\"@id\":\"https:\/\/www.its.ac.id\/news\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.its.ac.id\/news\/wp-content\/uploads\/sites\/2\/2026\/02\/Dr-Bruri-Trya-Sartana-SKom-MM-MKom-saat-melakukan-presentasi-disertasinya-dalam-Sidang-Terbuka-Promosi-Doktor-Departemen-Teknik-Elektro-ITS-di-Tower-2-ITS.jpg\",\"articleSection\":[\"Berita Terkini\",\"Berita Utama\",\"Faculty of Electrical Engineering\",\"Fakultas Teknologi Elektro dan Informatika Cerdas\",\"Quality Education\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/\",\"url\":\"https:\/\/www.its.ac.id\/news\/doktor-its-kembangkan-sistem-peringatan-dini-risiko-pembelajaran-daring\/\",\"name\":\"Doktor ITS Kembangkan Sistem Peringatan Dini Risiko Pembelajaran Daring - 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