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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) IJID (International Journal on Informatics for Development) Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Jurnal Informatika dan Multimedia
Fauzia Anis Sekar Ningrum
Universitas Amikom Yogyakarta
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Materials Science & Nanotechnology Physics

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Reduksi Dimensionalitas pada Klasifikasi Kualitas Air Sungai Menggunakan Algoritma Genetika dan Seleksi Fitur Berbasis Korelasi Yudha Riwanto; Fauzia Anis Sekar Ningrum
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.11863

Abstract

Water quality monitoring is a crucial element in data-driven environmental management. This study aims to identify the most important parameters in river water quality classification through feature selection and machine learning approaches. Eleven physicochemical parameters were used as initial features, and two selection methods were applied: Genetic Algorithm (GA) and Spearman Rank Correlation (RS). Classification was performed using Radial Basis Function Support Vector Machine (RBF-SVM), with performance evaluation based on accuracy, F1 score, and recall. GA testing results identified influential parameters (pH, DHL, DO, BOD, COD, TSS, NO₂⁻-N), achieving an accuracy of 96.67% and an F1 score of 0.82. RS generated seven different features with an accuracy of 90.00% and an F1 score of 0.67. Both methods revealed five consistently significant features (DHL, BOD, COD, TSS, NO₂⁻-N), which are the influential features. The model without feature selection, despite producing high accuracy (93.33%), only achieved an F1 score of 0.48, indicating poor recognition of the minority class. These findings confirm that feature selection improves classification efficiency and capability. In conclusion, GA-based feature selection provides the most effective subset for water quality classification and supports the development of intelligent and cost-effective monitoring systems suitable for sensor-based field applications.
KU Band Proximity-Coupled Supply Based Microstrip Array Antenna for Microwave Imaging Applications Fauzia Anis Sekar Ningrum; Yudha Riwanto
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.11991

Abstract

This research focuses on the design and simulation of a 4x1 microstrip array antenna with a proximity-coupled supply technique for Ku frequency band applications, especially in microwave imaging. The antenna is designed to operate in the frequency range 12 - 16 GHz, with a resonance frequency of 14 GHz, using a Duroid 5880 substrate which has a thickness of 3.15 mm and a relative permittivity of 2.2. Array configuration and proximity-coupled techniques are applied to improve impedance matching as well as expand bandwidth. Evaluation through simulation includes important parameters such as return loss, gain, and radiation patterns. The simulation results show a return loss of -26.46 dB at a frequency of 14 GHz, which shows high transmission efficiency with minimal reflections. The radiation patterns in the azimuthal and elevation planes show consistent directivity, with stable gain throughout the frequency range. These results confirm that the designed microstrip array antenna is suitable for microwave imaging applications in the Ku band. The antenna design in this research produces high efficiency, directional radiation, and minimal signal loss, so it is able to support accurate and detailed imaging.
Prediksi Keberhasilan Pengobatan dan Identifikasi Faktor Klinis Penting pada Kanker Tiroid Berdiferensiasi Menggunakan Kolmogorov-Arnold Networks dan SHAP: Prediction of Treatment Success and Identification of Important Clinical Factors in Differentiated Thyroid Cancer Using Kolmogorov-Arnold Networks and SHAP Muhammad Ainul Fikri; Ajie Kusuma Wardhana; Fauzia Anis Sekar Ningrum; Inggrid Yanuar Risca Pratiwi; Yudha Riwanto; Raditya Arief Pratama
Jurnal Informatika dan Multimedia Vol. 18 No. 1 (2026): Jurnal Informatika dan Multimedia
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtim.v18i1.9909

Abstract

Kanker tiroid berdiferensiasi memerlukan evaluasi respons terapi yang akurat untuk menentukan strategi penanganan pasien tingkat lanjut. Penelitian ini bertujuan mengembangkan model prediksi keberhasilan pengobatan kanker tiroid berdiferensiasi menggunakan Kolmogorov-Arnold Networks (KAN) yang diintegrasikan dengan metode SHapley Additive exPlanations (SHAP). Integrasi ini bertujuan menghasilkan sistem prediktif yang tidak hanya akurat tetapi juga memiliki interpretabilitas intrinsik yang transparan bagi tenaga medis. Data klinis retrospektif sebanyak 383 pasien dengan 17 fitur dievaluasi menggunakan pemodelan KAN dengan optimasi pemangkasan (pruning) jaringan pembobot adaptif. Interpretasi kontribusi fitur dianalisis secara post-hoc menggunakan algoritma SHAP KernelExplainer. Hasil pengujian membuktikan bahwa model KAN mencapai performa yang sangat kompetitif dengan akurasi 97,40%, precision 97,87%, recall 97,40%, F1-score 97,47%, dan ROC-AUC 99,75%. Model ini mencatatkan tingkat sensitivitas 100% dalam memprediksi kelas keberhasilan terapi tanpa adanya kesalahan klasifikasi. Analisis SHAP mengungkap bahwa fitur Response (evaluasi respons terapi) memberikan kontribusi paling dominan terhadap hasil prediksi, diikuti oleh variabel Risk (stratifikasi risiko), Age (usia), dan M (status metastasis). Sebagai alat pendukung keputusan klinis, KAN secara efektif menyeleksi fitur otomatis melalui mekanisme sparsity pada spline-nya dan memberikan penjelasan yang komprehensif bersama metode SHAP. Sebagai saran pengembangan ke depan, penelitian selanjutnya dapat memperdalam analisis korelasi matematis antara representasi spline KAN dengan nilai distribusi SHAP, serta memperluas pengujian model menggunakan dataset multisenter dengan skala yang lebih besar.
Design and Development of an Edugame Arabic for Learning Media Yudha Riwanto; Inggrid Yanuar Risca Pratiwi; Asri Wulan Septiana; Fauzia Anis Sekar Ningrum; Ajie Kusuma Wardhana
IJID (International Journal on Informatics for Development) Vol. 12 No. 2 (2023): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.4297

Abstract

Learning media provides significant advantages to students by improving their learning experience through the use of multimedia applications, resulting in a more engaging and fascinating learning environment while reducing the monotony associated with traditional manual learning techniques. Digital learning material, provides a platform for interesting learning activities, encouraging a delightful and cost-effective learning experience. The impact of learning media is especially noticeable in the subject of the Arabic language. Arabic is traditionally regarded as a difficult language, and many students dislike this language course. However, the Edugame Arabic was created to overcome this issue. Using the GDLC process, which includes phases of initialization, pre-production, production, testing, and publishing. This game-learning application was evaluated through a testing phase that included groups of school students who were actively involved in Arabic language lessons. Edugame Arabic has successfully been installed and runs smoothly on various Android smartphones. Moreover, the game's offline capability allows users to continue their learning without an internet connection. The questionnaire responds, with users strongly agreeing that the app has an appealing design, an intriguing game premise, good material delivery, and considerable aid in learning Arabic. Furthermore, users generally acknowledged that the Edugame is simple to use and helps with vocabulary learning.
Pengembangan Website dan Konten Karang Taruna Rukun Agawe Santosa Ngijo Bantul sebagai Optimalisasi Media Digital: Development of Web Platforms and Digital Content for Karang Taruna Rukun Agawe Santosa Ngijo Bantul as Digital Media Optimization Inggrid Yanuar Risca Pratiwi; Yudha Riwanto; Ajie Kusuma Wardhana; Fauzia Anis Sekar Ningrum; Muhammad Ainul Fikri
Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Vol. 10 No. 1 (2025): December
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jindeks.v10i1.9093

Abstract

Kegiatan ini bertujuan untuk mengoptimalkan pemanfaatan media digital sebagai sarana informasi, publikasi, dan komunikasi organisasi kepemudaan melalui pengembangan website serta pelatihan manajemen konten bagi Karang Taruna Rukun Agawe Santosa (RAS) Dusun Ngijo, Kabupaten Bantul, Daerah Istimewa Yogyakarta. Permasalahan utama yang dihadapi Karang Taruna RAS meliputi keterbatasan media publikasi kegiatan dan rendahnya kemampuan pengurus dalam mengelola informasi secara digital. Kegiatan dilaksanakan melalui empat tahapan, yaitu observasi dan pengembangan, sosialisasi dan pelatihan, implementasi teknologi dan evaluasi. Website yang dikembangkan memiliki fitur-fitur utama yaitu Manajemen Agenda, Keuangan, Inventaris Perlengkapan, dan Broadcast WhatsApp. Hasil sosialisasi dan pelatihan ini telah berhasil mengembangkan dan menyerahkan website untuk Karang Taruna yang fungsional dan dapat diakses melalui internet kapan saja dan di mana saja. Dari sisi sumber daya manusia, para pengurus Karang Taruna RAS telah menerima transfer pengetahuan melalui pelatihan manajemen konten dan terbukti mampu mengelola website secara mandiri, termasuk mempublikasikan beberapa konten awal pasca-pelatihan. Berdasarkan hasil pengujian UAT terhadap website oleh pengurus dan anggota Karang Taruna RAS  didapatkan nilai rata-rata 97,8%. Hal ini menunjukkan peningkatan kemampuan digital yang signifikan dalam pengelolaan informasi organisasi. Luaran kegiatan ini mencakup website dan buku panduan penggunaan website (manual book) yang diberikan kepada Karang Taruna RAS.
Co-Authors Ajie Kusuma Wardhana Ajie Kusuma Wardhana Asri Wulan Septiana Inggrid Yanuar Risca Pratiwi Inggrid Yanuar Risca Pratiwi Muhammad Ainul Fikri Muhammad Ainul Fikri Raditya Arief Pratama Yudha Riwanto