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All Journal JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Gesty Ernestivita
Universitas Janabadra
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Other

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Kakeibo Method Training: A Japanese Savings Technique to Improve the Risk Management of Housewives in Villages: Pengabdian Gesty Ernestivita; Vidya Ramadhan Putra Pratana; Hartono Hartono; Nersiwad Nersiwad; Mohammad Muslimin
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 5 Nomor 1 (Juli 2026 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v5i1.7242

Abstract

Ketidakstabilan ekonomi rumah tangga di pedesaan dipengaruhi rendahnya literasi keuangan dan kemampuan mengelola risiko. Ibu rumah tangga sebagai pengelola keuangan keluarga umumnya masih mengandalkan cara intuitif tanpa pencatatan. Kegiatan pengabdian kepada masyarakat (PkM) ini bertujuan meningkatkan kapasitas pengelolaan risiko keuangan keluarga melalui pelatihan Metode Kakeibo, teknik pembukuan rumah tangga tradisional Jepang berbasis pencatatan manual dan pengeluaran yang bijaksana. Program dilaksanakan di empat desa pada Pulau Sumatera, Jawa, Sulawesi, dan Kalimantan dengan melibatkan 160 ibu rumah tangga (40 peserta per wilayah). Metode yang digunakan adalah Community-Based Research (CBR) adaptif melalui analisis kebutuhan, pelatihan interaktif, simulasi Kakeibo dan strategi amplop, serta pendampingan selama 30 hari. Hasil pra-tes dan pasca-tes menunjukkan peningkatan literasi keuangan dari 34% menjadi 87%. Sebanyak 78% peserta juga berhasil menabung 15–25% dari pengeluaran bulanan untuk dana darurat. Program ini membuktikan Metode Kakeibo efektif, relevan, dan mudah diterapkan di pedesaan karena tidak bergantung pada teknologi digital, serta layak direplikasi oleh kader PKK untuk memperkuat ketahanan ekonomi keluarga.
Human-Centric AI Marketing, AI Trust, Customer Well-Being, and Digital Loyalty in Society 5.0 Gesty Ernestivita; Subagyo Subagyo; Vikas Kumar; Diah Ayu Septi Fauji
Jurnal Nusantara Aplikasi Manajemen Bisnis Vol 11 No 2 (2026): Jurnal Nusantara Aplikasi Manajemen Bisnis
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/nusamba.v11i2.29312

Abstract

Research Aim: This study examines the influence of human-centric AI marketing on consumer trust, customer well-being, and digital loyalty within the Society 5.0 framework, while uncovering the mediating mechanisms connecting these four constructs integratively. Design/Methods/Approach: A quantitative approach was employed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) via SmartPLS 4.0. Data were collected from 300 Indonesian digital consumers through a seven-point Likert questionnaire and analyzed using a 5,000-subsample bootstrapping procedure. Research Finding: All five hypotheses were statistically supported. The full mediation chain HCAM → AI Trust → Customer Well-Being → Digital Loyalty was validated, with AI Trust → Digital Loyalty emerging as the strongest predictor (β = 0.451). The model demonstrated substantial predictive capacity with Digital Loyalty R² = 0.618 and acceptable fit indices (SRMR = 0.061; NFI = 0.934). Theoretical Contribution/Originality: This study introduces customer well-being as a mediating variable bridging AI trust and digital loyalty, filling a significant literature gap through an integrative framework within the Society 5.0 perspective. Practitioner/Policy Implication: Marketing practitioners are advised to position algorithmic transparency and customer well-being as strategic KPIs equivalent to conventional conversion metrics. Research Limitation: The study is limited to Indonesian digital consumers using self-reported surveys, warranting cross-cultural generalization and longitudinal validation in future research.
Co-Authors Fauji, Diah Ayu Septi Hartono Hartono Mohammad Muslimin Nersiwad Subagyo, Subagyo Vidya Ramadhan Putra Pratana Vikas Kumar