Article Per Year (5 Year)
p-Index From 2021 - 2026
2.552
P-Index
This Author published in this journals
All Journal JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Electro Luceat Jurnal Informasi dan Komputer Media Aplikom Jurnal HUMMANSI (Humaniora, Manajemen, Akuntansi) Jotika Journal in Management and Entrepreneurship Jotika Journal in Education Jurnal Pengabdian Masyarakat dan Riset Pendidikan International Journal of Computer Technology and Science Jurnal Abdi Rakyat
Endang Setyawati
Unknown Affiliation
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
RANCANG BANGUN SISTEM INFORMASI MAINTENANCE ORDER BERBASIS WEB DI RUMAH SAKIT FATIMA KETAPANG DILENGKAPI DENGAN FITUR NOTIFIKASI TELEGRAM Thomas More Sulidra Hery Sukardi; Endang Setyawati
Jotika Journal In Management and Entrepreneurship Vol. 4 No. 1 (2024): Agustus
Publisher : Jotika English and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56445/jme.v4i1.163

Abstract

Perkembangan teknologi informasi yang semakin pesat telah memberikan manfaat yang signifikan dalam menunjang berbagai aktivitas, termasuk proses bisnis yang membutuhkan pengolahan data cepat dan akurat. Rumah Sakit Fatima Ketapang, sebagai fasilitas kesehatan rujukan tingkat lanjut, menghadapi tantangan dalam pengelolaan pemeliharaan sarana dan prasarana yang selama ini dilakukan secara manual melalui formulir maintenance order. Proses manual ini menimbulkan beberapa kendala, seperti lambatnya penerimaan dan respon terhadap laporan permintaan pemeliharaan, yang berdampak pada penanganan pemeliharaan yang tertunda dan menurunkan kualitas pelayanan. Untuk mengatasi masalah tersebut, dibangun Sistem Informasi Maintenance Order Berbasis Web yang dilengkapi dengan fitur notifikasi Telegram. Sistem ini bertujuan untuk mempercepat proses pelaporan dan respon permintaan pemeliharaan di Rumah Sakit Fatima Ketapang, dengan notifikasi Telegram yang memberikan pemberitahuan langsung kepada admin tanpa harus membuka aplikasi, sehingga meningkatkan efisiensi dan kinerja pelayanan. Sebelum penggunaan sistem, rata-rata waktu adalah 238,60 detik, sedangkan setelah penggunaan sistem rata-rata waktu turun menjadi 14,70 detik. Ini menunjukkan bahwa sistem baru berhasil meningkatkan efisiensi atau mempercepat proses yang diukur. Hasil uji kualitas dari sistem dengan menggunakan metode McCall yangb berhubungan dengan sifat operasionalnya adalah corectness = 90%, reliability = 83,33%, efficiency = 97,50% , usability = 87,50% dan maintainability = 67,50%. Pada penelitian ini penulis menggunakan metode prototype sebagai metode pengembangan sistem. Metode prototype adalah metode pengembangan yang sangat cepat dan pengujian model kerja aplikasi baru melalui proses interaksi yang berulang-ulang sehingga dapat digunakan dengan baik.
Sosialiasi Dokumentasi Dijital Virtual Reality Masjid Pathok Negoro Wonokromo Hendro Trieddiantoro Putro; Endang Setyawati
Jurnal ABDI RAKYAT Vol. 1 No. 1 (2024): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v1i1.295

Abstract

Through this activity, socialization of digital documentation has been carried out to community members at the Pathok Negoro Wonokromo mosque. Then, digital documentation of Virtual Reality was displayed, and questionnaires were filled out by 67 residents as an assessment and evaluation of the socialization of digital documentation at the Pathok Negoro Wonokromo mosque. The results of the questionnaire show that most people have known the Pathok Negoro Wonokromo mosque since childhood and agree that the Pathok Negoro Wonokromo mosque is the identity of the Islamic community, Javanese society, and is a symbol of the glory of the Sultanate of Yogyakarta. The community also agreed that through digital documentation that was broadcast, it had provided information about the culture and history of the Pathok Negoro Wonokromo Mosque. However, the community considers that the building details, colors, and details in the digital documentation that is broadcast need to be adjusted again to the conditions of the Pathok Negoro Wonokromo mosque. In addition, the results of the questionnaire also show that the community does not agree if the Pathok Negoro mosque is changed to a modern mosque.
Analisis Perbandingan Naive Bayes, Regresi Logistik Biner, dan Support Vector Machine untuk Prediksi Kasus Demam Berdarah di Purwokerto Ratri Kusuma Hariningsih, Rosa; Diwahana Mutiara Candrasari; Endang Setyawati; Syamsu Wahidin; Jevon Nataniel Putra5
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 12 No. 3 (2025): Jurnal Derivat (Desember 2025)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/j.derivat.v12i3.8408

Abstract

Dengue Hemorrhagic Fever (DHF) remains a significant public health issue in Purwokerto, with the increasing number of cases influenced by environmental factors such as temperature, humidity, rainfall, and population density. Accurate and adaptive predictive methods are essential to anticipate the spread of DHF, one of which involves the application of machine learning algorithms. This study aims to compare the performance of three algorithms, namely Naïve Bayes, Binary Logistic Regression, and Support Vector Machine (SVM), in predicting DHF risk in Purwokerto. Secondary data were obtained from the Health Office, Meteorology Agency (BMKG), and Statistics Bureau (BPS), covering DHF case records and environmental factors. The analysis was conducted using a quantitative predictive approach, employing 5-Fold Cross Validation and evaluation metrics including accuracy, precision, recall, and F1-score. The results indicate that the SVM model demonstrated the highest performance with an accuracy of 82% and a high recall rate for the positive class, making it effective for DHF risk mapping. The Naïve Bayes model showed adequate sensitivity but lower precision, while the Binary Logistic Regression model produced the lowest overall performance. This study recommends SVM as the most effective algorithm to support early warning systems and risk mitigation for DHF based on environmental data in Purwokerto.
Co-Authors Adhi Wibowo Agnes Gabriel Natasya Agus Suparno Arga Ardian Brigita Maila Feriyani Wensen Diwahana Mutiara Candrasari Hermanto Dwi Arso Ari Saputra Engelberta Ceria Kristina Fia Annisa Foustino Asprilla Gunantara Hadion Wijoyo Hendro Trieddiantoro Putro Imam Subekti Jevon Nataniel Putra Jevon Nataniel Putra5 Joko Purnomo Lutvi Riyandari Lyna wati Mega Setyaningrum Muhammad Hery Santoso Mury Andayani Pance Sudiono Pratama, Bayu Rizkya Prayogo Sindurojo Kusumojati Ratri Kusuma Hariningsih, Rosa RIANTI YUNITA KISWORINI Roberto Martins Rosa Ratri Kusuma Hariningsih Setyawan, Antonius Ary Sulistiyasni . Suyudi Suyudi Syamsu Wahidin Thomas Momo A. Rico Thomas More Sulidra Hery Sukardi Widjayanti, Carolina Ety