{"id":1359,"date":"2025-05-19T05:14:36","date_gmt":"2025-05-19T05:14:36","guid":{"rendered":"https:\/\/online.binus.ac.id\/computer-science\/?p=1359"},"modified":"2025-05-19T06:27:18","modified_gmt":"2025-05-19T06:27:18","slug":"klasifikasi-cerdas-pengkodean-diagnostik-ina-cbgs-untuk-kanker-payudara-dan-gangguan-reproduksi-wanita","status":"publish","type":"post","link":"https:\/\/online.binus.ac.id\/computer-science\/2025\/05\/19\/klasifikasi-cerdas-pengkodean-diagnostik-ina-cbgs-untuk-kanker-payudara-dan-gangguan-reproduksi-wanita\/","title":{"rendered":"Klasifikasi Pengkodean Diagnostik INA-CBGs untuk Kanker Payudara dan Gangguan Reproduksi Wanita"},"content":{"rendered":"

oleh Immanuela Puspasari Saputro, S.Si., M.T. (Faculty Member PJJ CS)<\/strong><\/p>\n

Masalah <\/span>kesehatan <\/span>seperti <\/span>kanker <\/span>payudara <\/span>dan <\/span>gangguan <\/span>reproduksi <\/span>wanita <\/span>merupakan <\/span>isu <\/span>serius <\/span>di <\/span>Indonesia. <\/span>Salah <\/span>satu <\/span>tantangan <\/span>yang <\/span>dihadapi <\/span>rumah <\/span>sakit <\/span>dalam <\/span>menangani <\/span>kasus-<\/span>kasus <\/span>ini <\/span>adalah <\/span>ketidaktepatan <\/span>sistem <\/span>pengkodean <\/span>diagnosis <\/span>INA-<\/span><\/strong>CBGs<\/strong>, <\/span>yang <\/span>dapat <\/span>berdampak <\/span>pada <\/span>klaim <\/span>asuransi <\/span>dan <\/span>perencanaan <\/span>perawatan <\/span>pasien. <\/span>Ketidaksesuaian <\/span>dalam <\/span>mencocokkan <\/span>tingkat <\/span>keparahan <\/span>pasien <\/span>sering <\/span>kali <\/span>menyebabkan <\/span>kesalahan <\/span>klasifikasi, <\/span>sehingga <\/span>diperlukan <\/span>pendekatan <\/span>teknologi <\/span>yang <\/span>lebih <\/span>akurat <\/span>untuk <\/span>meningkatkan <\/span>efisiensi <\/span>dan <\/span>transparansi <\/span>sistem <\/span>pembiayaan <\/span>kesehatan.<\/span><\/p>\n

\"\"<\/span><\/p>\n

Penelitian <\/span>ini <\/span>bertujuan <\/span>mengembangkan <\/span>model <\/span>klasifikasi <\/span>berbasis <\/span>Machine <\/span>Learning <\/span><\/strong>untuk <\/span>mengidentifikasi <\/span>tingkat <\/span>keparahan <\/span>pasien <\/span>berdasarkan <\/span>kode <\/span>diagnosis <\/span>INA-<\/span><\/strong>CBGs<\/strong>. <\/span>Dua <\/span>algoritma <\/span>utama <\/span>yang <\/span>digunakan <\/span>adalah <\/span>Random <\/span>Forest (<\/span>RF) <\/span><\/strong>dan <\/span>Extreme <\/span>Gradient <\/span>Boosting (<\/span><\/strong>XGBoost)<\/strong>. <\/span>Proses <\/span>pengembangan <\/span>model <\/span>dilakukan <\/span>melalui <\/span>tahapan <\/span>pengumpulan <\/span>data <\/span>sekunder, <\/span>analisis, <\/span>pemrosesan, <\/span>pelatihan <\/span>model, <\/span>dan <\/span>evaluasi <\/span>akurasi. <\/span>Dataset <\/span>yang <\/span>digunakan <\/span>berasal <\/span>dari <\/span>rumah <\/span>sakit <\/span>rujukan <\/span>Indonesia <\/span>Timur <\/span>dengan <\/span>periode <\/span>data <\/span>tahun <\/span>2023\u2013<\/span>2024.<\/span><\/p>\n

Hasil <\/span>pengujian <\/span>menunjukkan <\/span>bahwa <\/span>model <\/span>Random <\/span>Forest <\/span>mampu <\/span>meningkatkan <\/span>akurasi <\/span>klasifikasi <\/span>diagnosis_code<\/em> <\/span>dari <\/span>51,7% <\/span>menjadi <\/span>69%, <\/span>serta <\/span>mencapai <\/span>akurasi <\/span>95% <\/span>pada <\/span>severity_level<\/em>. <\/span>Model <\/span>XGBoost<\/strong> <\/span>juga <\/span>menunjukkan <\/span>performa <\/span>tinggi <\/span>dengan <\/span>akurasi <\/span>mencapai <\/span>70,6% <\/span>untuk <\/span>diagnosis_code<\/em> <\/span>dan <\/span>98,7% <\/span>untuk <\/span>severity_level<\/em>. <\/span>Keunggulan <\/span>masing-<\/span>masing <\/span>model <\/span>didukung <\/span>oleh <\/span>pemilihan <\/span>fitur <\/span>yang <\/span>relevan, <\/span>validasi <\/span>model <\/span>yang <\/span>optimal, <\/span>serta <\/span>mekanisme <\/span>boosting<\/em> <\/span>dan <\/span>regularisasi <\/span>untuk <\/span>XGBoost<\/strong>.<\/span><\/p>\n

Pada penelitian ini dapat disimpulkan bahwa <\/span>pendekatan <\/span>Machine <\/span>Learning <\/span><\/strong>terbukti <\/span>efektif <\/span>dalam <\/span>mengklasifikasikan <\/span>tingkat <\/span>keparahan <\/span>pasien <\/span>kanker <\/span>payudara <\/span>dan <\/span>gangguan <\/span>reproduksi <\/span>berdasarkan <\/span>kode <\/span>INA-<\/span><\/strong>CBGs<\/strong>. <\/span>Kedua <\/span>model <\/span>mampu <\/span>mengurangi <\/span>kesalahan <\/span>sistem <\/span>pengkodean <\/span>yang <\/span>selama <\/span>ini <\/span>menjadi <\/span>hambatan <\/span>dalam <\/span>proses <\/span>klaim <\/span>dan <\/span>perawatan. <\/span>Temuan <\/span>ini <\/span>tidak <\/span>hanya <\/span>memberikan <\/span>kontribusi <\/span>bagi <\/span>dunia <\/span>akademik, <\/span>tetapi <\/span>juga <\/span>berpotensi <\/span>besar <\/span>dalam <\/span>meningkatkan <\/span>efisiensi <\/span>administrasi <\/span>dan <\/span>layanan <\/span>medis <\/span>di <\/span>rumah <\/span>sakit.<\/span><\/p>\n

Sumber: Penelitian Dosen dan Mahasiswa PJJ CS<\/p>\n

Editor: Yudy Purnama, S.Kom., M.TI<\/span><\/p>\n

#BINUSRESEARCHPOINT #TEKNIKINFORMATIKA #COMPUTERSCIENCE #BINUS #BINUSUNIVERSITY<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

oleh Immanuela Puspasari Saputro, S.Si., M.T. (Faculty Member PJJ CS) Masalah kesehatan seperti kanker payudara dan gangguan reproduksi wanita merupakan isu serius di Indonesia. Salah satu tantangan yang dihadapi rumah sakit dalam menangani kasus-kasus ini adalah ketidaktepatan sistem pengkodean diagnosis INA-CBGs, yang dapat berdampak pada klaim asuransi dan perencanaan perawatan pasien. Ketidaksesuaian dalam mencocokkan tingkat […]<\/p>\n","protected":false},"author":702,"featured_media":1360,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[19,20,18,17,15],"class_list":["post-1359","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article","tag-binus","tag-binusuniversity","tag-computerscience","tag-teknikinformatika","tag-binusresearchpoint"],"_links":{"self":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts\/1359","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/users\/702"}],"replies":[{"embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/comments?post=1359"}],"version-history":[{"count":4,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts\/1359\/revisions"}],"predecessor-version":[{"id":1373,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/posts\/1359\/revisions\/1373"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/media\/1360"}],"wp:attachment":[{"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/media?parent=1359"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/categories?post=1359"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/online.binus.ac.id\/computer-science\/wp-json\/wp\/v2\/tags?post=1359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}