{"id":852,"date":"2026-10-03T04:16:09","date_gmt":"2026-10-03T11:16:09","guid":{"rendered":"https:\/\/saintek.uinsalatiga.ac.id\/sd\/?p=852"},"modified":"2026-10-03T04:16:10","modified_gmt":"2026-10-03T11:16:10","slug":"tingkatkan-kualitas-tugas-akhir-dan-luaran-hki-angkatan-pertama-prodi-sains-data-uin-salatiga-gelar-expert-review-bersama-pakar-amikom","status":"publish","type":"post","link":"https:\/\/saintek.uinsalatiga.ac.id\/sd\/2026\/10\/03\/tingkatkan-kualitas-tugas-akhir-dan-luaran-hki-angkatan-pertama-prodi-sains-data-uin-salatiga-gelar-expert-review-bersama-pakar-amikom\/","title":{"rendered":"Tingkatkan Kualitas Tugas Akhir dan Luaran HKI Angkatan Pertama, Prodi Sains Data UIN Salatiga Gelar Expert Review Bersama Pakar AMIKOM"},"content":{"rendered":"\n

SALATIGA, 1 OKTOBER 2026<\/strong> \u2014 Dalam upaya mewujudkan keunggulan akademik dan memastikan standar penelitian yang tinggi, Program Studi (Prodi) Sains Data Fakultas Sains dan Teknologi (FST) UIN Salatiga menyelenggarakan kegiatan bertajuk “Project Eksplorasi Data: Expert Review Proposal Tugas Akhir Angkatan Pertama dan Validasi HKI Kolaboratif Dosen-Mahasiswa Tahun 2026”<\/strong>.<\/p>\n\n\n\n

Kegiatan yang berlangsung pada Kamis, 1 Oktober 2026 di kampus UIN Salatiga ini menghadirkan pakar teknologi informasi dari Universitas AMIKOM Yogyakarta, Dr. Anggit Dwi Hartanto, M.Kom.<\/strong>, sebagai narasumber utama, dengan dipandu oleh Ita Dwijayanti, M.Sc.<\/strong> selaku moderator.<\/p>\n\n\n\n

Pelaksanaan agenda ini secara strategis menjadi bagian dari pemenuhan Rencana Hasil Kerja (RHK) 12<\/strong>, yang berfokus pada Identifikasi dan Penciptaan Mahasiswa 2026 yang Berkualitas, Unggul, dan Berdaya Saing<\/strong>.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Dorong Kebaruan Riset dan Tren Sains Data 2026<\/strong><\/h3>\n\n\n\n

<\/p>\n\n\n\n

Pada Sesi I, Dr. Anggit Dwi Hartanto membedah lanskap dan kecenderungan riset Sains Data terkini di tahun 2026, seperti Agentic AI<\/em>, Multimodal AI<\/em>, Domain-Specific AI<\/em>, serta Efficient and Green AI<\/em>. Dalam paparan tersebut, ditekankan bahwa kualitas sebuah penelitian Sains Data tidak sekadar diukur dari kecanggihan algoritma yang digunakan, melainkan dari kejelasan masalah, ketahanan model (model robustness<\/em>), interpretabilitas<\/em>, dan validasi oleh ahli domain.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

“Kebaruan penelitian dapat dibangun melalui konteks data yang spesifik, efisiensi komputasi, serta analisis mendalam terhadap permasalahan riil di masyarakat,” ungkap Dr. Anggit saat memaparkan contoh penerapan riset di bidang pendidikan, bisnis, kesehatan, hingga Green AI<\/em>.<\/p>\n\n\n\n

Panel Review: Memperkuat Konstruksi Metodologi Mahasiswa<\/strong><\/h3>\n\n\n\n

Sesi II dilanjutkan dengan Panel Review<\/em> proposal Tugas Akhir mahasiswa angkatan pertama. Sesi interaktif ini difokuskan pada pembedahan research gap<\/em>, kesesuaian data dengan algoritma, serta pentingnya pencegahan kebocoran data (data leakage<\/em>) dalam perancangan evaluasi model.<\/p>\n\n\n\n

Langkah penelaahan kritis ini sangat krusial dalam kerangka RHK 12 untuk mengidentifikasi potensi akademik mahasiswa sejak dini, sehingga luaran Tugas Akhir angkatan perdana Sains Data UIN Salatiga tidak hanya memiliki akurasi tinggi secara teknis, tetapi juga relevan dan dapat dipertanggungjawabkan secara ilmiah. Narasumber menegaskan bahwa skripsi\/ tugas akhir yang baik adalah skripsi yang selesai tepat pada waktunya. <\/p>\n\n\n\n

Klinik HKI dan Luaran Kolaboratif Dosen-Mahasiswa<\/strong><\/h3>\n\n\n\n

Pada Sesi III, kegiatan berfokus pada Clinical Review & Validasi HKI<\/em>. Sesi ini menelaah berbagai karya riset kolaboratif antara dosen dan mahasiswa agar dapat dipatenkan atau didaftarkan sebagai Hak Kekayaan Intelektual (HKI). Selain dorongan pendaftaran HKI, forum ini juga merekomendasikan agar karya-karya Tugas Akhir mahasiswa yang berbobot dapat dibukukan sebagai bentuk kontribusi literasi publik.<\/p>\n\n\n\n

Komitmen dan Tindak Lanjut<\/strong><\/h3>\n\n\n\n

Melalui kegiatan ini, Prodi Sains Data FST UIN Salatiga menegaskan komitmennya untuk mendampingi mahasiswa angkatan pertama agar mampu menghasilkan karya ilmiah yang berstandar nasional maupun internasional.<\/p>\n\n\n\n

Sebagai tindak lanjut dari expert review<\/em> ini, mahasiswa bersama dosen pembimbing akan segera melakukan penyempurnaan rumusan masalah, pembuktian kontribusi riset, serta penyiapan dokumentasi karya untuk pendaftaran HKI dan publikasi buku.<\/p>\n\n\n\n

Dengan dilaksanakannya agenda ini, Prodi Sains Data UIN Salatiga terus melangkah mantap dalam mencetak lulusan pakar data yang tidak hanya unggul secara teknis, tetapi juga kaya akan kontribusi ilmiah bagi perkembangan ilmu pengetahuan dan industri.<\/p>\n","protected":false},"excerpt":{"rendered":"

SALATIGA, 1 OKTOBER 2026 \u2014 Dalam upaya mewujudkan keunggulan akademik dan memastikan standar penelitian yang tinggi, Program Studi (Prodi) Sains 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