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

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Outpatient service tariff determination based on unit cost analysis mixed with community ability and willingness to pay Yuniantika; Hendrartini, Julita; Budiarto, Arif
BKM Public Health and Community Medicine Vol 39 No 11 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i11.6584

Abstract

Purpose: The study aims to calculate the rational outpatient tariff based on unit cost analysis, ability and willingness to pay. Method: The research is an observational study with a qualitative approach. Secondary data are obtained retrospectively to calculate unit costs and tariffs. Primary data is collected through questionnaires to see the ability and willingness to pay (WTP). Result: The calculation using the step-down method obtained the unit cost for general practice IDR 79,337, dental care IDR 151,635, psychologist consultation IDR 115,283, and fitness center IDR 236,555. The respondent's ATP value is IDR 138,808, with an average examination fee of IDR 56,093. When coupled with an improvement in service and facility quality, 58.1% of respondents agreed to a 10% rate increase. With a 20% rate increase, the willingness to pay decreases to 40.6%. In the bivariate analysis using the chi-square test, the variables significantly affecting WTP are patient perceptions of the suitability of service costs (p = 0.000). In contrast, age, gender, occupation, education, income, number of family members, and insurance ownership do not significantly influence WTP. Conclusion: The service rate is lower than the unit cost calculation. By looking at the ability and willingness to pay, it is possible to evaluate the tariff.
Pengenalan Penelitian Ilmu Kebumian dan Penerapannya dalam Eksplorasi Sumber Daya Alam dan Penanggulangan Bencana Alhadi, Kasnawi; Minardi, Suhayat; Syamsuddin; Budiarto, Arif; Alaydrus, Alfina Taurida
Jurnal Pengabdian Magister Pendidikan IPA Vol 7 No 1 (2024): Januari - Maret
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v7i1.7919

Abstract

Desa Tanjung Kabupaten Lombok Utara terus berupaya untuk mendorong pertumbuhan wilayahnya. Namun, desa tersebut memiliki risiko bencana yang mengacam, seperti sering terjadinya kejadian gempa bumi. Pengabdian masyarakat ini bertujuan untuk memberikan pelatihan terkait pengenalan penelitian ilmu kebumian dan penerapannya dalam eksplorasi daya alam dan penanggulangan bencana. Kegiatan pengabdian kepada masyarakat ini dilaksanakan dalam beberapa tahapan, yaitu 1) Koordinasi dengan semua pihak terkait; 2) Pelatihan tentang pengembangan media pembelajaran berbasis teknologi; 3) Pendampingan dalam pembuatan media pembelajaran berbasis teknologi oleh guru; 4) Focus Group Discussion (FGD) pada beberapa masalah yang terjadi, solusi dan rencana tindak lanjutnya. Pelatihan ini telah berhasil memberikan wawasan kepada siswa terkait bagaimana cara menanggulangi bencana. Peserta pelatihan merasakan manfaat yang dapat membantu penanggulangan bencana dan pembangunan wilayah desan Tanjung.
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.
Influencer Marketing Impact on Consumer Trust in Cross-Border E-Commerce Transactions Hansopaheluwakan, Scherly; Budiarto, Arif; Nuryana, Ida; Amien, Neneng Nurbaeti; Virgantari, Fitria
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 6 (2025): JIMKES Edisi November 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i6.3992

Abstract

This study explores how influencer marketing influences consumer trust in cross-border e-commerce, an emerging focus in digital marketing. Using a qualitative approach through literature review and library research, it investigates the connection between influencer marketing and consumer behaviour in international markets. The primary focus is on how influencer credibility, engagement, and cultural adaptation influence consumer trust when purchasing from international brands. The review reveals that influencer marketing plays a critical role in reducing perceived risks in cross-border transactions by providing social proof and authenticity, particularly when influencers align their content with local cultural norms. The findings indicate that both macro and micro-influencers play an important role, though their effectiveness depends on the target market and campaign objectives. Micro-influencers tend to perform better in niche markets because of their strong engagement and authenticity, while macro-influencers offer wider reach and authority, making them valuable for large-scale cross-border campaigns. This highlights the need to select appropriate influencers and tailor strategies to cultural contexts for successful international marketing efforts.
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.
KARAKTERISTIK PERJALANAN DAN PEMILIHAN MODA TRANSPORTASI PADA KONDISI COVID-19 DI WILAYAH AGLOMERASI SURAKARTA Budiarto, Arif
Jurnal Riset Rekayasa Sipil Vol 7, No 2 (2024): Maret 2024
Publisher : Prodi Teknik Sipil Fakultas Teknik Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jrrs.v7i2.90921

Abstract

The COVID-19 pandemic, which spread to all countries worldwide, also influenced changes in individual behaviors related to activities and travel. These changes were further intensified by government policies to implement lockdowns to reduce the spread of the Coronavirus. The impact of these policies resulted in a significant decrease in the frequency of public travel, resulting in the preference for the use of private vehicles to avoid Coronavirus transmission. This study was conducted to investigate individual travel behavior in the Surakarta Agglomeration Area. Data were collected through home interview surveys from March to June 2021, involving 402 respondents. It was hypothesized that with regard to sociodemographic attributes, those with high-income levels would rely more on private vehicles during the COVID-19 pandemic, while lower-income groups would show the opposite trend. The results of the study indicated that high-income individuals were highly dependent on private vehicles, particularly cars, compared to those with other attributes. 17.8% of high-income respondents used cars more frequently than those in other income groups, finding them not only safer from COVID-19 transmission but also more comfortable.
Co-Authors Ade Sjafruddin Ahmad Alhashmi Salam Abuseta Alfina Taurida Alaydrus Alhadi, Kasnawi Amien, Neneng Nurbaeti 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 Fitria Virgantari Fitriana Murriya Ekawati Gata, Windu Hansopaheluwakan, Scherly Hartono, Ashief Krisna Harun Alrasyid Sorah Lubis Hendrawan, Donni Ida Nuryana, Ida 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