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All Journal Jurnal Planologi Sultan Agung Jurnal Transportasi Forum Ekonomi : Jurnal Ekonomi, Manajemen dan Akuntansi JURNAL MANAJEMEN Jurnal Pengabdian Magister Pendidikan IPA Jurnal Ilmu Komputer dan Bisnis Berita Kedokteran Masyarakat SmartComp
Arif Budiarto
Fakultas Ekonomi dan Bisnis Universitas Udayana
Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Nursing Public Health Social Sciences Transportation Other

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Estimated cost of diabetic wound care in primary healthcare facilities using the time-driven activity-based costing method Budiarto, Arif; Oktafitria, Rita; Hafidz, Firdaus; Aristianti, Vini; Ekawati, Fitriana Murriya; Siregar, Dedy Revalino; Ilyasa; Budiman, Arif; Hendrawan, Donni; Ruby, Mahlil
Berita Kedokteran Masyarakat Vol 41 No 11 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v41i11.23797

Abstract

Purpose: This study aimed to estimate the unit cost of diabetic wound care services in primary healthcare facilities (FKTPs) using the Time-Driven Activity-Based Costing (TDABC) method and to quantify the potential cost savings from reallocating cases from secondary (FKRTL) to primary care facilities. Methods: A micro-costing analysis was conducted across 40 FKTPs in Indonesia using a standardized five-step TDABC framework, covering personnel, facility, medical supplies, and overhead costs. Descriptive and nonparametric statistical methods, including the trimmed mean, geometric mean, and interquartile range, were applied to derive cost estimates, and simulations with 15% and 35% case shifting from FKRTL to FKTP were performed. Non-parametric methods (Kruskal–Wallis and Mann–Whitney U) were applied because the cost data were not normally distributed. Results: The estimated unit cost per diabetic wound-care visit ranged from IDR 67,121 (best-case scenario) to IDR 77,189 (realistic scenario). Cost-shifting simulations projected potential savings of up to IDR 28.15 billion in the 35% scenario. Conclusion: Strengthening diabetic wound-care services at the primary care level may enhance system-wide efficiency and reduce avoidable expenditures within the National Health Insurance (JKN) scheme, supporting the adoption of more cost-effective service delivery models in Indonesia.
Analisis Sentiment Instagram Menggunakan Metode Support Vector Machine (SVM) Berbasis Grid Search Algorithm (GSA) Salim, Agus Salim; Gata, Windu; Fakhriza, M Hilman; Rhayu, Cicih Sri; Budiarto, Arif
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 3 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v11i3.3899

Abstract

Instagram adalah sebuah aplikasi berbagi foto dan video yang memungkinkan pengguna mengambil foto, mengambil video, menerapkan filter digital, dan membagikannya ke berbagai layanan jejaring sosial, termasuk milik Instagram sendiri. Pada penelitian ini akan dilakukan Analisis sentiment Instagram menggunakan metode support vector machine (SVM)  berbasis Grid Search Algorithm (GSA). SVM salah satu metode yang dapat melakukan teknik klasifikasi kalimat menjadi positif, negatif ataupun netral, karena proses yang akan dilakukan bersifat non linear maka parameter yang akan digunakan adalah nilai C dan γ. Agar proses klasifikasi lebih optimal maka digunakan GSA sebagai model seleksi fitur. Untuk membuat sebuah aplikasi analisis sentimen diperlukan data training dan data testing. Dataset yang digunakan Sanders Instagram.Dataset tersebut dilabel secara manual dan terdiri dari 654 negatif, 570 positip, 2503 netral, 1786 irrelevant. Tahap-tahap analisis sentimen dimulai dengan Loading data, Tokenizing, Weighting, Preprocessing, Filtering dan klasifikasi. Dari hasil uji coba, Analisis sentimen pada aplikasi memiliki tingkat keakuratan sekitar 79%. Persentase tag Instagram pada data sanders cenderung lebih banyak tag Instagram netral dan negatif  dari pada positif.
Co-Authors Ade Sjafruddin Ahmad Alhashmi Salam Abuseta Alfina Taurida Alaydrus Alhadi, Kasnawi Arif Budiman Ary Setyawan Asmaningrum, Tri Hardiyanti Asmara, Teo Cahya Dharmowijyo, Dimas B. E. Djoko Sarwono DWI SURYANTO Dwiza Riana Eni Heni Hermaliani, Eni Heni Fakhriza, M Hilman Firdaus Hafidz As Shidieq Fitriana Murriya Ekawati Gata, Windu Hartono, Ashief Krisna Harun Alrasyid Sorah Lubis Hendrawan, Donni Idwan Santoso Ilyasa Jolis Nainggolan Julita Hendrartini Made Heny Urmila Dewi Mahmudah, Amirotul M. H. Mahmudah, Amirotul Musthofiah Hidayah Oktafitria, Rita Rahayu, Cicih Sri Ramanudin, Eko Rhayu, Cicih Sri Ruby, Mahlil Salim, Agus Salim Siregar, Dedy Revalino Suhayat Minardi Supriadi, Andy Supriadi, Andy Syamsuddin Tri Basuki Joewono Vini Aristianti, Vini Wibowo, R. Ardi Widianto, Tetra Yudhi Prasetyo, Rhobertus Mahadi Yudhi Prasetyo, Rhobertus Mahadi Yudiana, Yudiana Yuniantika