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All Journal Jurnal Kolaboratif Sains Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Journal of Advanced Health Informatics Research Jurnal Multidisiplin Pengabdian Masyarakat (JMPM)
Hadi Jayusman
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Exploration of Machine Learning Methods in Medical Disease Prediction: A Systematic Literature Review Ria Suci Nurhalizah; Hadi Jayusman; Purwatiningsih
Journal of Advanced Health Informatics Research Vol. 1 No. 3 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v1i3.174

Abstract

Exploration of Machine Learning methods in the systematic literature shows successful applications in disease diagnosis, disease prediction, and treatment planning. This literature only includes discussions on Classification methods consisting of Support Vector Machine(SVM), Naïve Bayes, Nearest Neighbors and Neural Network(NN) and Regression consisting of Decision Tree, Linear Regression, Random Forest Ensemble Methods, and Neural Network(NN). Clustering which consists of K-Means Clustering, Artificial Neural Network (ANN), Gaussian Mixture, Neural Network (NN) and Dimensionality reduction which consists of Principal Component Analysis (PCA). In the context of healthcare, the importance of sustainability, ethics, and data security are key factors. This research uses Systematic Literature Review (SLR) to explore Machine Learning methods in the medical context and recommends Support Vector Machine, Random Forest, and Neural Networks as effective methods. By exploring 300 papers and selecting 57 papers for discussion of machine learning methods in medical disease prediction. Method selection should be tailored to the dataset characteristics and disease prediction goals, while prioritizing
Desain Sistem Informasi Geografis (GIS) untuk Pengelolan Infrastruktur Telekomunikasi di Daerah Terpencil: Geographic Information System (GIS) Design for Telecommunication Infrastructure Management in Remote Areas Moh. Khoridatul Huda; Rian Ardianto; Hadi Jayusman; Rosyid Ridlo Al-Hakim
Jurnal Kolaboratif Sains Vol. 7 No. 7: July 2024
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v7i7.5903

Abstract

Penelitian ini bertujuan untuk merancang Sistem Informasi Geografis (GIS) guna mendukung pengelolaan infrastruktur telekomunikasi di Desa Kutorojo, Kecamatan Kajen, Kabupaten Pekalongan. Menggunakan pendekatan kualitatif dengan metode survei, penelitian ini melibatkan wawancara mendalam dan observasi lapangan untuk mengumpulkan data terkait kondisi infrastruktur dan kebutuhan masyarakat. Hasil penelitian menunjukkan bahwa penerapan GIS meningkatkan akses dan kualitas layanan telekomunikasi, dengan 75% rumah tangga kini memiliki akses telekomunikasi yang lebih baik. Mayoritas pengguna melaporkan kepuasan tinggi terhadap kualitas layanan, berkat peningkatan kecepatan dan stabilitas jaringan. Partisipasi masyarakat dalam pengelolaan infrastruktur juga meningkat, mencapai 60%, yang berdampak positif pada pemeliharaan jangka panjang. Efisiensi pengelolaan infrastruktur ditingkatkan dengan pengurangan waktu perawatan sebesar 30% dan biaya sebesar 25%. Penelitian ini menyimpulkan bahwa GIS adalah solusi efektif dalam pengelolaan infrastruktur telekomunikasi di daerah terpencil, memberikan dampak ekonomi dan sosial yang positif. Penerapan GIS tidak hanya meningkatkan kualitas hidup masyarakat, tetapi juga menawarkan model pengelolaan infrastruktur yang dapat diterapkan di wilayah lain dengan tantangan serupa.
Analisis Pengaruh Learning Management System terhadap Tingkat Kepuasan Dosen dan Tenaga Pendidik di Era Digital: Studi kasus Universitas Harapan Bangsa Rokhadi, Reza; Raden Bagus Bambang Sumantri; Hadi Jayusman
Jurnal IT UHB Vol 5 No 3 (2024): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v5i3.1588

Abstract

Penelitian ini menganalisis faktor-faktor yang mempengaruhi kepuasan pengguna platform LMS "Scalsa" di Universitas Harapan Bangsa, berfokus pada UI-UX (User Interface-User Experience), Security (Keamanan), dan User Perception (Persepsi Pengguna). Menggunakan pendekatan kuantitatif dengan metode Structural Equation Modeling-Partial Least Squares (SEM-PLS), analisis dilakukan menggunakan SmartPLS versi 4. Proses dimulai dengan statistik deskriptif dan uji normalitas data, dilanjutkan dengan pemodelan jalur PLS secara iteratif. Indikator dengan nilai loading factor kurang dari 0,6 dihapus untuk memaksimalkan hasil. Validitas konvergen, validitas diskriminan (Heterotrait-Monotrait Ratio), dan reliabilitas (Cronbach's Alpha) juga dievaluasi. Hasil menunjukkan ketiga faktor memiliki hubungan signifikan dengan kepuasan pengguna LMS "Scalsa". UI-UX yang intuitif dan mudah diakses berkontribusi positif terhadap kepuasan. Keamanan yang baik dalam manajemen basis data meningkatkan kepercayaan pengguna. Persepsi pengguna, termasuk pemahaman metode pembelajaran daring dan kemahiran menggunakan LMS, juga berperan penting. Temuan ini menyoroti pentingnya pendekatan holistik dalam pengembangan dan implementasi sistem pembelajaran daring, dengan mempertimbangkan aspek teknis, keamanan, serta faktor-faktor terkait persepsi dan kemampuan pengguna.
Edukasi Bahaya Cyberbullying di Kalangan Remaja Guna Membangun Kesadaran dan Ketangguhan Digital di SMKN 1 Kaligondang Purwono, Purwono; Hadi Jayusman; Safa Kiana; Fakhri Zahi Mumtaza
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 2 No. 1 (2025): Februari
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cyberbullying has become a major challenge that affects the mental health of adolescents in the digital era. This community service program aims to increase awareness and digital resilience of SMKN 1 Kaligondang students through education about the dangers of cyberbullying. Using counseling methods, interactive discussions, and case simulations, this program helps increase students' awareness of various forms of cyberbullying, including its psychological and social impacts, as well as strategies for preventing and handling cyberbullying wisely. The results of the activity showed an increase in students' understanding of the risks of cyberbullying, as well as a better understanding of how to report and deal with such situations in cyberspace. In addition, students showed a greater commitment to maintaining digital ethics and practicing safe social skills in digital media. This article is expected to be a basis for schools in developing similar initiatives to form a generation that is more aware and resilient in dealing with cyberbullying
Co-Authors Bambang Sumantri, R Bagus Fakhri Zahi Mumtaza Moh Khoridatul Huda, Moh Khoridatul Purwatiningsih Purwono Purwono, Purwono Ria Suci Nurhalizah Rian Ardianto Rokhadi, Reza Rosyid Ridlo Al-Hakim Safa Kiana