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Designing a Social Business Model to Empower Persons with Disabilities Through Art Therapy-Based Community Engagement Mukhlis, Muhammad; Dellyana, Dina
Community Engagement and Emergence Journal (CEEJ) Vol. 7 No. 2 (2026): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v7i2.10269

Abstract

Amisbudi, an art-based initiative under the Our Dream Indonesia Foundation, empowers neurodiverse youth, especially those with autism and Down syndrome, through painting and creative expression. This study addresses the limitations in Amisbudi’s current operations, including its overdependence on a single founder and the absence of a formalized business model. By proposing a Social Business Model Canvas (SBMC) and Social Return on Investment (SROI), this research aims to create a replicable and sustainable framework that enables community engagement, revenue diversification, and measurable social impact. The study adopts a mixed-method approach including stakeholder interviews, surveys, benchmarking, and internal-external analysis. Findings inform a strategic SBMC proposal the impactful data from SROI for Amisbudi, offering pathways for scale, partnership with CSR programs, and volunteer-driven expansion. This thesis contributes to the discourse on inclusive social entrepreneurship in Indonesia, particularly in the domain of art therapy for people with disabilities.
DATA-DRIVEN LOCATION STRATEGY: HOW AHP SUPPORTS EFFECTIVE RESTAURANT SITE SELECTION Aji Rizky Hakim; Dina Dellyana
Journal of Social and Economics Research Vol 7 No 2 (2025): JSER, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i2.1105

Abstract

The rapid growth of the food and beverage (F&B) service industry in Indonesia has driven increasingly fierce competition, especially in the Greater Jakarta (Jabodetabek) area, which is home to nearly 40% of the nation's F&B service businesses. Therefore, location selection is a strategic decision that significantly determines a restaurant's success. Toko Bakmi Kita, established in Serang City in 2019, plans to expand its business reach to Jabodetabek area with a more measured and data-driven approach. This study aims to identify the key criteria for restaurant location selection using the Analytic Hierarchy Process (AHP) method and evaluate five alternative locations to determine expansion locations. Data was collected through interviews and AHP questionnaires with 15 business owners and professionals in the F&B service sector, as well as secondary data from Google Maps and MAPID. The results show that of the eight main criteria, accessibility is the most influential factor, followed by market attractiveness, rental costs, and customer flow drivers. At the sub-criteria level, distance to main roads, rental payment schemes, and daytime and nighttime occupancy rates are the main determinants of location attractiveness. Of the five locations analyzed, two had the highest scores: Graha Raya Tangerang (Location E) with a score of 88.56 and Grand Wisata Bekasi (Location A) with a score of 85.12. Both were deemed to best meet the combination of good access, market potential, and cost structure that support Toko Bakmi Kita's expansion in Jabodetabek area.
Improving Digital Content Production For Smes: A Design Science Approach To Ai-Integrated Workflow Development Rifki Afandi, Andika; Dellyana, Dina
International Journal of Science and Environment (IJSE) Vol. 6 No. 1 (2026): February 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i1.312

Abstract

The study focuses on the redesign of a workflow related to the use of AI to produce content on Instagram to enhance the time-consumption, stability, and reliability of services provided to SME clients in Pallas Creative, a digital marketing agency. Because SMEs are starting to depend on Instagram as a source of awareness creation and a sales driving tool, the agencies are supposed to produce the necessary content in a timely and consistent way, but real-life issues like the incongruity of briefs, rewrites, and ineffective coordination tend to cause delays, rewrites, and inconsistent lead time. Thus, the inquiry that the proposed study is responding to is as follows: what can be done to design and implement an AI empowered content production workflow that would be less inefficient but remain efficient to the content quality and client satisfaction in an agency and SME environment? The qualitative Design science Research approach used in the study is backed by Business process management. Semi structured interviews were used to get the data with internal stakeholders into content operations and SME client representative integrated with observations and internal records. The as is workflow was mapped with the help of BPMN finding bottlenecks and revision loops, and the findings were structured with the help of the thematic analysis and root cause analysis and which were further translations into design requirements and principles in order to create the proposed workflow artifact. The findings include the information that the primary types of inefficiencies must be considered systemic (such as short ambiguity and weaponization of assets), but the approval and revision processes are prolonged and hindered by fragmented feedback, and operational end of a thread due to role dependency and frequent emergency demands. According to them, the suggested AI facilitates workflow introduces, introduces clearer governance about the revision and approval of any work in a single gate approval and structured feedback, centralized tracking and versioning as a single source of solidity, a dual-lane production flow of planned and momentum content flow, and human-in-the-loop AI support with short development and ideating drafting and quality checks. In general, this paper gives a viable workflow map that can assist organizations attending to SMEs to streamline lead time and rework and still maintain consistency and reliability of services.
DATA-DRIVEN LOCATION STRATEGY: HOW AHP SUPPORTS EFFECTIVE RESTAURANT SITE SELECTION Aji Rizky Hakim; Dina Dellyana
Journal of Social and Economics Research Vol 7 No 2 (2025): JSER, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i2.1105

Abstract

The rapid growth of the food and beverage (F&B) service industry in Indonesia has driven increasingly fierce competition, especially in the Greater Jakarta (Jabodetabek) area, which is home to nearly 40% of the nation's F&B service businesses. Therefore, location selection is a strategic decision that significantly determines a restaurant's success. Toko Bakmi Kita, established in Serang City in 2019, plans to expand its business reach to Jabodetabek area with a more measured and data-driven approach. This study aims to identify the key criteria for restaurant location selection using the Analytic Hierarchy Process (AHP) method and evaluate five alternative locations to determine expansion locations. Data was collected through interviews and AHP questionnaires with 15 business owners and professionals in the F&B service sector, as well as secondary data from Google Maps and MAPID. The results show that of the eight main criteria, accessibility is the most influential factor, followed by market attractiveness, rental costs, and customer flow drivers. At the sub-criteria level, distance to main roads, rental payment schemes, and daytime and nighttime occupancy rates are the main determinants of location attractiveness. Of the five locations analyzed, two had the highest scores: Graha Raya Tangerang (Location E) with a score of 88.56 and Grand Wisata Bekasi (Location A) with a score of 85.12. Both were deemed to best meet the combination of good access, market potential, and cost structure that support Toko Bakmi Kita's expansion in Jabodetabek area.
STRUKTURISASI INOVASI UNTUK KINERJA ORGANISASI YANG BERKELANJUTAN: SEBUAH PERSPEKTIF STRATEGIS DARI PERUSAHAAN LAYANAN DIGITAL DI INDONESIA Sarungu, Caesar Sartana; Dellyana, Dina
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 6 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/x2mahy11

Abstract

Inovasi merupakan elemen strategis bagi organisasi untuk menghadapi tantangan jangka pendek sekaligus mendorong pertumbuhan berkelanjutan. Pada sektor jasa digital di Indonesia yang berkembang pesat, berbagai inisiatif inovasi telah diterapkan, namun sering kali belum ditunjang oleh sistem pengelolaan inovasi yang terstruktur. Penelitian ini bertujuan untuk mengevaluasi Innovation Management System (IMS) pada sebuah perusahaan jasa digital terkemuka dengan menggunakan data survei yang dianalisis melalui metode Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa Human Capital Capability merupakan faktor paling signifikan yang memengaruhi Innovation Performance, Business Performance, dan Operational Performance, sehingga menegaskan peran sentral kompetensi sumber daya manusia dalam keberhasilan implementasi IMS. Sementara itu, Strategic Environment dan Resource Capability menunjukkan pengaruh yang bervariasi sehingga diperlukan tata kelola inovasi yang adaptif serta keselarasan pengelolaan sumber daya. Temuan ini memberikan rekomendasi praktis untuk pelembagaan inovasi melalui proses yang terstruktur dan selaras dengan prinsip ISO 56002.