Article Per Year (5 Year)
p-Index From 2021 - 2026
2.083
P-Index
This Author published in this journals
All Journal Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Public Policy : Jurnal Aplikasi Kebijakan Publik dan Bisnis Jurnal Ekonomi dan Kewirausahaan West Science West Science Social and Humanities Studies Journal of Business Application Digital Innovation : International Journal Of Management Jurnal Administrasi Terapan
GOMIES, STEVANUS JOHAN
Unknown Affiliation
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
PENGARUH FASILITAS KERJA TERHADAP EFEKTIVITAS KERJA PEGAWAI PADA KANTOR BADAN KEPEGAWAIAN DAERAH PROVINSI MALUKU Watloly, Mery; Tousalwa, Carla; Gomies, Stevanus Johan
Jurnal Administrasi Terapan Vol. 4 No. 1 (2025): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v4i1.3158

Abstract

This study aims to analyze the effect of workplace facilities on employee work effectiveness at the Regional Personnel Agency of Maluku Province. Workplace facilities can influence employee work effectiveness. This research was conducted at the Regional Personnel Agency of Maluku Province to determine whether workplace facilities affect employee work effectiveness. This study uses a quantitative approach with a survey method, where data was obtained through questionnaires distributed to employees of the Regional Personnel Agency of Maluku Province. The sample taken in this study consisted of 44 employees. The method used in this research is a simple linear regression analysis method with the help of SPSS version 26 software, resulting in the regression equation Y = 25.305 + 0.195X. The hypothesis testing results show a t-count value of 2.113 with a probability of 1.68 or (p < 0.05). The test results indicate that the independent variable (workplace facilities) influences the dependent variable (employee work effectiveness) by 95%, while the remaining 5% is influenced by other variables. Based on these research findings, it can be concluded that workplace facilities have a positive and significant effect on employee work effectiveness at the Regional Personnel Agency of Maluku Province. Keywords : Work facilities; Work Effectiveness
PENGUKURAN EFEKTIVITAS KAMPANYE MARKETING MULTI-CHANNEL: PENDEKATAN STATISTIK UNTUK MENGIDENTIFIKASI FAKTOR KUNCI KEBERHASILAN Nanulaitta, Deflin Tresye; Tousalwa, Carla; Gomies, Stevanus Johan
Jurnal Administrasi Terapan Vol. 4 No. 1 (2025): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v4i1.3400

Abstract

This research develops a framework for measuring the effectiveness of multi-channel marketing campaigns using a statistical approach to identify key success factors in the Indonesian market context. Through a quantitative cross-sectional research design involving 145 companies with at least three active marketing channels, this study integrates structured surveys, secondary data on campaign performance metrics, and marketing data audits. Multivariate statistical analysis reveals significant correlations between channel integration levels and campaign effectiveness, with social media excelling in customer engagement (β=0.42), email marketing in conversion rate (β=0.37), and content marketing in brand awareness (β=0.45). Path analysis identifies significant synergistic effects between combinations of social media and email marketing (path coefficient=0.56) that increase conversion rates by 2.3 times. Using random forest algorithm (83.7% accuracy), five key success factors were identified: message personalization based on audience segmentation, visual and narrative consistency across channels, optimal communication timing, cross-platform data integration, and content alignment with customer journey. Machine learning-based attribution models proved significantly more accurate (89.3%) than traditional models. The research also found significant variations in multi-channel strategy effectiveness based on industry characteristics and audience segments, encouraging differentiated approaches. The measurement framework developed offers practical tools for marketers to optimize multi-channel campaigns and maximize return on marketing investment. Keywords: multi-channel marketing, attribution modeling, campaign effectiveness, statistical approach, channel integration
Co-Authors Agustina Christina Patty Arini, Rani Eka Asthenu, Jean Rosalina Ferdinandus, Leonora Hutubessy, Eline O. Kalay, Agusthinus Kwalomine, Azmida L. Mahmuddin Mahmuddin melmambessy, simson Muhamad Amin Nahuway, Victorio Fernando Nanulaitta, Deflin Tresye Pattipeilohy, Victor Ringhard Rosdiana Rosdiana Siwabessy, Dominggus J Souisa, Wendy Sutiksno, Dian Utami Tamalene, Abdul Haris Titioka, Stenly Ronaldo Tjokro, cynthia imelda Tousalwa, Carla Tousalwa, Carla C. Tutupoho, Fauzia Watloly, Mery