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All Journal Jurnal Akuakultur Indonesia Jurnal Ekonomi : Journal of Economic Jurnal Kesehatan Masyarakat Jurnal English Education: Jurnal Tadris Bahasa Inggris Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Ternak Tropika IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Geo-Image Journal DIDAKTIKA TAUHIDI: JURNAL PENDIDIKAN GURU SEKOLAH DASAR JURNAL PENDIDIKAN TAMBUSAI PROMOTOR Jurnal Sosial Humaniora Jurnal FARMAKU (Farmasi Muhammadiyah Kuningan) Medical and Health Science Journal JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal 'Aisyiyah Medika Indonesian Journal of Global Health research Jurnal Statistika dan Aplikasinya AKMENIKA Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal Teknik Informatika (JUTIF) Jurnal Biosense Jurnal Keperawatan GSH Psikoborneo : Jurnal Ilmiah Psikologi Jurnal Nasional Manajemen Pemasaran dan SDM Journal of Soft Computing Exploration Jurnal Ilmiah Wahana Pendidikan GANESHA: Jurnal Pengabdian Masyarakat Jurnal Media Informatika Journal of Language and Health Journal of Aafiyah Health Research (JAHR) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence JEER (Journal of Elementary Educational Research) Kajian Linguistik dan Sastra Berita Kedokteran Masyarakat Tsaqofah: Jurnal Penelitian Guru Indonesia Asian Journal of Healthcare Analytics Jurnal Pengabdian Masyarakat Ekonomi, Manajemen dan Akuntansi (JPMEMA) Journal of Information System Exploration and Research ALENA : Journal of Elementary Education Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Educandumedia: Jurnal Ilmu Pendidikan dan Kependidikan Journal of Electronics Technology Exploration (JOeTEx) Jurnal Tumbuhan Obat Indonesia The Indonesian Journal of Computer Science Ma'arif Journal of Education, Madrasah Innovation and Aswaja Studies Journal of Fundamental Management (JFM)
Putri Utami, Putri
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Classification of Pancreatic Cancer Diagnosis with CatBoost Using Urine Biomarker Combination Tanga, Yulizchia Malica Pinkan; Utami, Putri; Darmawan, Aditya Yoga; Unjung, Jumanto
Journal of Electronics Technology Exploration Vol. 4 No. 1 (2026): June 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joetex.v4i1.651

Abstract

Uncontrolled cell growth in the pancreatic gland, is one of the most aggressive types of cancer with a high mortality rate, called pancreatic cancer. This research focuses on improving early diagnosis methods for pancreatic cancer by using CatBoost. Urine biomarker datasets were collected and subjected to pre-processing, including label coding, standardized scaling, and balancing via the Synthetic Minority Oversampling Technique (SMOTE). The CatBoost model achieved an accuracy of 98.89%, specificity of 99.35%, sensitivity of 98.71%, and Area Under the Curve (AUC) of 0.9951. These results show that the CatBoost model significantly outperforms the diagnosis models in previous studies, overcoming the challenges of early detection and classification of pancreatic cancer. This study shows that CatBoost is effective for diagnosing pancreatic cancer and suggests that future research explore other models on larger and more diverse datasets.
Pengembangan Sistem Informasi Kesesuaian Lahan Tanaman Pangan Berdasarkan Faktor Cuaca Berbasis Website Utami, Putri; Abdullah, Asrul; Hudjimartsu, Sahid Agustian; Wicaksono, Aditya; Viona, Tiara Aurilia
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3758

Abstract

Evaluasi lahan dapat dilakukan untuk meningkatkan kualitas dan kuantitas komoditas pertanian. Salah satunya dengan persyaratan penggunaan lahan dengan mempertimbangkan karakteristik lahan. Namun, Dinas Pertanian selaku koordinator sulit mendapatkan informasi terkait karakteristik lahan yang sesuai dengan jenis tanaman berdasarkan faktor cuaca. Anomali cuaca menyebabkan turunnya produktitivitas tanaman. Tujuan penelitian ini adalah mengembangkan sistem informasi kesesuaian lahan untuk menentukan jenis tanaman pangan beradasarkan karakteristik lahan serta evaluasi kesesuaian lahan tanaman. Metode dalam penelitian ini adalah Framework for the Application of System Thinking (FAST). Tahapan FAST yaitu scope definition, problem analysis, requirement analysis, decision analysis, design, contruction and testing, dan instalation and delivery. Berdasarkan hasil uji kelayakan aplikasi menghasilkan nilai 87% dengan kriteria baik. Hasil ini menunjukkan bahwa sistem informasi kesesuaian lahan tanaman pangan dapat digunakan dengan baik.
Ketepatan Aplikasi Estrous Detector dan Pengamatan Visual Estrus Pada Sapi Friesian Holstein Pramudhita, Anggita Dian; Turawan, Carles; Rachmawati, Achadiah; Utami, Putri; Susilawati, Trinil; Yekti, Aulia Puspita Anugra
TERNAK TROPIKA Journal of Tropical Animal Production Vol. 27 No. 1 (2026): TERNAK TROPIKA Journal of Tropical Animal Production
Publisher : Jurusan Produksi Ternak, Fakultas Peternakan, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtapro.2026.027.01.9

Abstract

Penelitian ini bertujuan untuk mengevaluasi akurasi dan efektivitas deteksi estrus pada sapi Friesian Holstein (FH) menggunakan metode pengamatan visual dan estrous detector. Penelitian dilaksanakan di Peternakan Esa Jaya Farm, Kecamatan Bantur, Kabupaten Malang, dengan menggunakan 10 ekor sapi betina FH sebagai materi penelitian. Sampel dipilih dari sapi yang menggunakan alat pendeteksi estrus Datamars Livestock, dengan kriteria memiliki Body Condition Score (BCS) 2,5–4, berumur lebih dari 1,5 tahun, sehat, dan menunjukkan tanda-tanda estrus. Variabel yang diamati meliputi keberhasilan deteksi estrus, Non-Return Rate 1 (NRR1), Non-Return Rate 2 (NRR2), dan Conception Rate (CR). Data dianalisis secara deskriptif. Hasil penelitian menunjukkan bahwa deteksi estrus menggunakan estrous detector memiliki tingkat keberhasilan lebih tinggi, yaitu 88%, dibandingkan metode visual sebesar 56%. Pada parameter NRR, penggunaan aplikasi estrous detector juga menunjukkan hasil yang lebih baik, dengan NRR1 sebesar 82% dan NRR2 sebesar 73%, sedangkan metode visual menghasilkan NRR1 sebesar 79% dan NRR2 sebesar 71%. Namun demikian, nilai CR pada kedua metode sama, yaitu sebesar 10%. Rendahnya nilai CR mengindikasikan bahwa keberhasilan kebuntingan tidak hanya ditentukan oleh akurasi deteksi estrus, tetapi juga dipengaruhi oleh faktor lain, seperti defisit energi, tingginya produksi susu, dan manajemen reproduksi yang belum optimal. Selain itu, selama fase estrus diamati perubahan perilaku pada sapi, berupa penurunan aktivitas ruminasi, makan, dan istirahat pada kedua metode pengamatan. Disimpulkan bahwa penggunaan aplikasi estrous detector cenderung meningkatkan akurasi deteksi estrus dan memberikan perbaikan pada nilai NRR, tetapi belum meningkatkan CR. Oleh karena itu, penerapan aplikasi estrous detector perlu didukung oleh perbaikan manajemen reproduksi untuk mengoptimalkan keberhasilan inseminasi buatan.
Improving the Performance of K-Means Algorithm using the Particle Swarm Optimization for Clustering Forest Fire Utami, Putri
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.4949

Abstract

Forest and land fires are a recurring ecological disaster in Indonesia, particularly in West Kalimantan, where peatlands and tropical climates contribute to high vulnerability. Effective identification of fire-prone areas is critical for mitigation efforts, yet conventional clustering methods such as K-Means suffer from limitations, especially in determining optimal cluster numbers and centroid initialization. This study proposes an enhanced clustering approach by integrating the Particle Swarm Optimization (PSO) algorithm with K-Means to improve the accuracy of hotspot clustering in Mempawah Regency. The research utilizes hotspot and weather datasets from January 2023 to March 2024, incorporating variables such as temperature, humidity, rainfall, and wind speed. Data preprocessing includes normalization using Min-Max Scaling. PSO is applied to determine the optimal number of clusters (K) within a range of 2 to 10 by evaluating Davies-Bouldin Index (DBI), Silhouette Coefficient (SC), and inertia. Experimental results show that the optimal configuration—20 iterations and 20 particles—yields a DBI of 0.897 and an SC of 0.464, indicating standard cluster quality. Visual validation using PCA demonstrates clear cluster separation, supporting the evaluation results. Compared to visual methods like Elbow, which suggest K=3–4, the PSO-KMeans approach identifies K=10 as optimal, providing better clustering performance. This research highlights the effectiveness of swarm intelligence in enhancing spatial data modeling and supports strategic decision-making for local wildfire mitigation efforts.
Co-Authors Achadiah Rachmawati Aditya Wicaksono Agus Oman Sudrajat Agustin, Erina Akhiroh, Puji Al Qohar, Bagus Alfindo, Nico Dian Ali Mustadi Amajida, Saraya Ambarwati, Dyah Amelia Putri, Winda Amelia Rika Ananto Aji, Ananto Andi Asrina Angraini, Dwi Rizki Apik Budi Santoso Arini, Vhita Syukrya Aripa Hasanah , Nur As'ari, Hasyim Asrul Abdullah Astari, Dewanti Widya atim rinawati Aulia Puspita Anugra Yekti Aulia Putri, Devita Aulia, Usna Aurilia Viona, Tiara Bayu , Silvana Budi Hartono Caska - Chotimah, Indira Christina Ismaniati Christy Efiyanti Cicih Ratnasih, Cicih Darmawan, Aditya Yoga Darwina, Darwina Delima, Isniyunisyafna Diah Denny Nurdiansyah Dewi, Trisni Dinamella Wahjuningrum Dinda Iryawati Dullah, Ahmad Ubai Eka Kusumastuti, Anie Eka Yusnaldi Ekawati Ekawati Eko Nugroho Endah Dewi Purnamasari Endang Silaningsih Fadhillah, Risti Sifa' Fadillah Fadillah Fatmah Afrianty Gobel Febrian, Ilham Rohmat Febrianto, Nanang Fergy Sandria, Muhammad Firdaus, Amir Hamzah Hasyim Hermanto Hermayanti, Tanti Hilda Zulkifli Ibnu Faruki, Adnan Ida Wahyuni Idris, Fairus Prihatin Iis Diatin Imam Subarkah Imas Maesaroh Irianti, Een Irmanida Batubara irviana, ira Irzal Effendi Ismail Hasan, Ismail Istiqomah Nur Rahmawati Juhadi Juhadi Jumanto Unjung Jundi, Muhamad Jundi, Muhammad Kartini, Alif Yuanita Khairani, Aulia Kurniawan, Egy Kusumawati, Tri Indah Marcela, Raya Maryanto Masriana Masriana, Masriana Maula, Inayatul Maulidnawati, Abrina Mia Setiawati Much Aziz Muslim Muhaimin, Ahmad Muhammad Ali, Hendry Muhammad Helmi Muhammad Kaulan Karima Muhyidin Muji Burrohman Mujihari, Mujihari mukarromah, maqiyatul Munawaroh, Fauziyatul Murti, Wahyu Muslima, Patriotika Nadia Ramli, Nurul Nazilah, Lailatun Nicolas, Hieronimus Ningsih, Maylinna Rahayu Nita Yunianti Ratnasari Novalinda, Novalinda Novitasari, Amanda Novitasari, Prihatini Dini Nur Imamah Nurlinda, SE., MM, R.A Nurul Hasanah Nurul Isnaini Octaviany, Efi Perdana Arifin, Satria Pertiwi, Dwika Ananda Agustina Prameswari, Ayu Pramudhita, Anggita Dian Priyo Sugeng Winarto Puji Hastuti, Yuni Puspita Anugra Yekti, Aulia Putri, Kreati Hanna Qohar, Bagus Al Rabiatul Adawiyah Rahmadani, Aulia Rahmaddeni Rahmaddeni Rahmadhana, Sharah Rahmawati, Yuli Nur Ramadhani, Anisa Reli Handayani, Reli Restu Restu Riris Nurkholidah Rambe Risli , Andrea Risma Handayani Rispa Ngindana Rispantyo Rispantyo, Rispantyo Ritonga, Yunizar Rizki Amalia Rizki Wandini, Rora Sahid Agustian Hudjimartsu Salbila, Isal Sarkowi, Widya Khairunnisa Setiadi, Diaz Hazrina ShikhMaidin, Mashitah Sibarani, Benly Levi Andreas Sinaga, Leonardo SITI FATIMAH Siti Khodijah Parinduri Sri Anah Sri Nuryati Sucipto Sumiaty Sumiaty Supriadi Supriadi Suprida, Suprida Susi Handayani Suyono Suyono Syah, Habib Asshidiq Tanga , Yulizchia Malica Pinkan Tanga, Yulizchia Malica Pinkan Tatag Budiardi Turawan, Carles umi arifah Utami*, Rahayu Dwi Vidya Vitta Adhivinna, Vidya Vitta Viona, Tiara Aurilia Wahjuningsih , Sri Widayanti, Amanda Widya Ningsih, Mutiara Wira Wibawa, Herry Y. Hadiroseyani Yonvitner - Yunola, Satra Yusriani, Yusriani