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All Journal Aptisi Transactions on Technopreneurship (ATT) International Journal of Business Studies Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Inkubis: Jurnal Ekonomi dan Bisnis
Zenal Asikin
IPB University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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CONSUMER MEANINGS OF EVERYDAY FOOD ON INSTAGRAM THROUGH THE LENS OF SOCIAL REPRESENTATION THEORY: A REFLECTIVE THEMATIC ANALYSIS Andi Sagita; Tanti Novianti; Zenal Asikin
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.4552

Abstract

This study examines how consumers construct the social meanings of everyday food on Instagram using tilapia (Oreochromis sp.) consumption as an empirical context. Drawing on Social Representation Theory (SRT), the study interprets how shared meanings are built, negotiated, and objectified through visual and narrative representations in digital spaces. From more than 71,000 public posts tagged with #ikannila (tilapia fish), #nilamerah (red tilapia), and #nilahitam (black tilapia), a purposive sample of 391 selected consumer posts (2020–2024) was analysed using Reflective Thematic Analysis (RTA). Data validity was strengthened through thematic saturation and limited member checking. The analysis identified five main themes: Family, Flexibility, Taste, Locality, and Nutrition, which together form a structure of social meaning that reflects the emotional, practical, cultural, hedonic, and normative dimensions of everyday food consumption. The findings show that food functions not merely as a culinary object but as a cultural symbol that represents consumers' experiences and values. The implications of this study open opportunities for designing more resonant marketing messages as a foundation for meaning-driven marketing, using social representations of food to develop digital communication that is more authentic and participatory.
SELECTING PRIORITY STRATEGY IN A TRADING FOR COOKING OIL IN INDONESIA USING ANALYTICAL HIERARCHY PROCESS Yudhiawan Wibisono; Mohammad Syamsul Maarif; Budi Yulianto; Zenal Asikin
International Journal of Business Studies Vol. 10 No. 2 (2026): International Journal of Business Studies
Publisher : Sekolah Tinggi Manajemen IPMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32924/ijbs.v10i2.426

Abstract

Indonesia continues to face recurring challenges in ensuring the availability and affordability of cooking oil, one of its most essential household commodities. Fluctuating prices, supply chain inefficiencies, weak distribution monitoring, and limited stakeholder coordination often lead to market instability and public discontent. Existing mechanisms have not fully addressed issues of equity, transparency, and resilience, risking national food security, environmental sustainability, and socio-economic justice. The Analytical Hierarchy Process (AHP) is widely recognized as a decision-support tool, yet it has faced criticism due to the inconsistency of its pairwise comparison scale and its inability to fully capture uncertainty and complexity. To address this issue in the context of cooking oil trade, a questionnaire was administered to 12 experts with substantial knowledge of Indonesia’s cooking oil sector. To strengthen the effectiveness and resilience of Indonesia’s cooking oil trading system, a strategic assessment using AHP compared four alternatives. The combined approach of targeted subsidies and digitalized distribution emerged as the most promising, offering a data-driven solution to ensure fair and efficient allocation. This strategy integrates economic equity with operational efficiency, requiring a shift toward digital infrastructure, multi-sectoral collaboration, and proactive, real-time decision-making.
Influential Factors of Sustainability in Indonesia Wealth Tech Sector Priscilla Maulina Juliani Siregar; Noer Azam Achsani; Zenal Asikin; Dikky Indrawan
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 3 (2026): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i3.712

Abstract

This study investigates the key factors influencing the competitiveness of wealth tech firms in Indonesia, a sector that remains underdeveloped compared to global counterparts such as Toss, SoFi, Ping An. While global players leverage integrated platforms and internal data capabilities to drive user loyalty and value creation, Indonesian wealth tech companies primarily function as digital distribution channels. Using a combined approach of Porter’s Diamond Model, Value Rarity Inimitability Organization (VRIO) analysis, and Structural Equation Modeling Partial Least Squares (SEM PLS), this research analyzes data from 317 financial industry respondents. Results reveal that only two internal resources existing customer base and corporate branding offer sustainable competitive advantages. External factors such as government regulation, supporting industries, and firm strategy also significantly shape competitiveness, though internal innovation, data integration, and personalized user engagement remain limited. The findings highlight the need for Indonesian wealth tech firms to invest in organizational readiness, ecosystem collaboration, and regulatory engagement to transition from support platforms to fully autonomous digital financial ecosystems. This study offers theoretical and practical implications for enhancing strategic positioning within Indonesia’s digital finance sector.
Developing an Integrated Historical and Predictive Customer Profitability Model for Customer Acquisition in the Banking Industry Rudianto Suryo Binantoro; Syamsul Ma’arif; Linda Karlina Sari; Zenal Asikin
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 3 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i3.409

Abstract

Background: Banking customer acquisition is often assessed using volume-based indicators, which may encourage growth without adequately considering customer profitability. Although Customer Profitability Analysis (CPA) provides a more comprehensive basis for evaluating customer economic value, its application in banking remains fragmented and predominantly historical, limiting its use in acquisition decision-making. Objective: This study aims to develop an integrated historical and predictive Customer Profitability Analysis model to support value-based customer acquisition decisions in the banking sector. Methods: A qualitative approach was employed using Soft Systems Methodology (SSM) and a comparative case study of two national commercial banks. Data were collected through document analysis and stakeholder insights, focusing on three critical acquisition stages: prospect identification and qualification, needs analysis and solution design, and proposal presentation and negotiation. Results: The findings indicate that CPA implementation remains partial and is constrained by the absence of standardized profitability frameworks, limited predictive capabilities, fragmented data integration, and silo-based decision-making. These limitations result in suboptimal customer acquisition and package-deal decisions. The study therefore develops an integrated conceptual model combining historical and predictive CPA, supported by real-time profitability simulation and cross-functional integration. Conclusion: Integrating historical and predictive CPA into the customer acquisition process can strengthen data-driven, value-oriented decision-making. The proposed model contributes a corporate-level CPA framework, a profitability-based approach for evaluating package deals, and a customer profitability mapping mechanism for acquisition prioritization, supporting more sustainable growth and improved customer portfolio quality.
Co-Authors Andi Sagita Budi Yulianto Dikky Indrawan Erliza Noor Linda Karlina Sari Mohammad Syamsul Maarif Priscilla Maulina Juliani Siregar Rudianto Suryo Binantoro Syamsul Ma’arif Tanti Novianti Yudhiawan Wibisono