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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Electrical Engineering and Computer (JEECOM) The Indonesian Journal of Computer Science
Hestiningtyas, Annisa
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Public Health

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Optimasi Pemilihan Fitur untuk Prediksi Penyakit Jantung Menggunakan Algoritma Genetika dan Random Forest Gori, Takhamo; Hestiningtyas, Annisa
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4214

Abstract

Penyakit jantung merupakan salah satu penyebab utama kematian di seluruh dunia, menekankan urgensi prediksi dini dan manajemen risiko yang efektif. Dalam upaya meningkatkan akurasi prediksi penyakit jantung, penelitian ini mengusulkan pendekatan metode GridSearchCV (GS) dan Genetic Algorithm Feature Selection (GA-FS) pada model Random Forest (RF). Setelah proses seleksi fitur dengan GA-FS, dari sebelas atribut awal dimasukkan, delapan atribut terpilih, yakni Sex, ChestPainType, RestingBP, Cholesterol, FastingBS, RestingECG, ExerciseAngina, dan ST_Slope, sementara atribut Age, MaxHR, dan Oldpeak dieliminasi. Hasil penelitian menunjukkan bahwa model RF yang dioptimalkan dengan GS dan GA-FS (RF-GS-GAFS) mencapai akurasi 91.85%, presisi 95.10%, recall 90.65%, dan F1-Score 92.82%, mengungguli model RF dengan optimasi GS (89.67%) dan RF tanpa optimalisasi (88.04%). Temuan ini memberikan kontribusi positif yang signifikan dalam meningkatkan kinerja model prediksi penyakit jantung melalui optimalisasi parameter dan pemilihan fitur menggunakan algoritma genetik.
Rekomendasi untuk Meningkatkan Kapabilitas Strategi TI pada Perguruan Tinggi Swasta XYZ Berdasarkan Analisis COBIT 2019 Domain APO02 Hestiningtyas, Annisa; Hendi, Muhammad Alva; Nasiri, Asro
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 1 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i1.7158

Abstract

Perguruan Tinggi Swasta XYZ menghadapi tekanan yang semakin meningkat untuk menjalankan operasinya secara efektif dan efisien dalam era digital yang cepat berubah. Pengelolaan strategi Teknologi Informasi (TI) adalah salah satu kunci untuk mencapai tujuan tersebut. Penelitian ini bertujuan untuk memberikan rekomendasi yang konkret dan terukur untuk meningkatkan kapabilitas strategi TI di Perguruan Tinggi Swasta XYZ, dengan menggunakan analisis berdasarkan COBIT 2019 Domain APO02 (Manage Strategy). Penelitian ini menggunakan metode campuran yang melibatkan survei, wawancara dengan pemangku kepentingan kunci, dan analisis dokumen strategis yang ada. Hasil penelitian berdasarkan tingkat kapabilitas dalam pengelolaan strategi TI di perguruan tinggi swastaXYZ, dengan beberapa aspek yang telah berkembang dengan baik sementara aspek lainnya memerlukan perbaikan. Perlu diketahui bahwa Perguruan Tinggi Swasta XYZ tersebut belum pernah melakukan proses tata kelola TI dan audit internal menggunakan COBIT 2019 
TRAINING ON ENTREPRENEURSHIP SKILLS IMPROVEMENT WITH BUSINESS MODEL CANVAS (BMC) IMPLEMENTATION FOR STUDENTS OF SMA NUSANTARA BALIKPAPAN Ivani, Kartika Aprilia; Hestiningtyas, Annisa; Ahmad, Ahmad; Pratama, Aditya; Salamsjah, Salamsjah
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Volume 5 No. 3 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i3.29342

Abstract

Entrepreneurship skills are essential competencies for the younger generation to face future job market challenges. This activity aims to enhance the entrepreneurship skills of SMA Nusantara Balikpapan students through training using the Business Model Canvas (BMC) approach. The training method encompasses five main stages: pretest, material provision, training, discussion, and post-test. Initially, the pretest measures the students' initial knowledge and entrepreneurship skills. Subsequently, materials on the basic concepts of entrepreneurship and BMC were provided as a theoretical foundation. Intensive training focused on applying BMC in designing business models. Discussions, encouraged collaboration and idea sharing among students. In the final stage, a post-test evaluated the improvement in students' skills and understanding after the training. The results indicated a significant increase in students' entrepreneurial knowledge and skills following the training. Data from the pretest and post-test were analyzed using descriptive and inferential statistics, confirming the training's effectiveness with BMC implementation. Additionally, students showed increased motivation and interest in developing their business ideas. In conclusion, entrepreneurship training with the BMC approach effectively enhances the skills and understanding of SMA Nusantara Balikpapan students. This program is expected to be adopted by other schools to prepare students for the workforce and foster a generation that is creative, innovative, and ready for entrepreneurship.
Co-Authors Aditya Pratama Ahmad Ahmad Gori, Takhamo Hendi, Muhammad Alva Ivani, Kartika Aprilia Nasiri, Asro Salamsjah, Salamsjah