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BALQIS: Journal of Business Innovation and Digital Marketing
Published by Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi
ISSN : -     EISSN : 3110567X     DOI : 10.30983/balqis
Core Subject : Economy,
Economics, Econometrics & Finance
Journal of Business Innovation and Digital Marketing focuses on field research and literature reviews in the areas of business development and digital marketing. The journal seeks to highlight innovative approaches, strategic insights, and emerging trends that shape the dynamic world of business in the digital age, with an emphasis on practical relevance and scholarly contribution.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 17 Documents
 1   2 
Analisis Upaya Optimalisasi Relationship Management, Lokasi, dan Distribusi untuk Keberlanjutan UMKM Manika di Kalimantan Timur rahma a.o maulandini
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10523

Abstract

This study investigates the influence of relationshop management, business location, and distribution optimization on the sustainability of Manikka Kaltim, a craft-based MSME in East Kalimantan. The research addresses challenges faced by local creative MSMEs, including limited resources, dependence on single suppliers and low market visibility. A qualitative descriptive approach was employed using Porter’s Five Forces Analysis, with data collected through interviews, observations, and documentation. The findings show that Manikka Kaltim operates in a highly competitive environment marked by strong buyer bargaining power, limited supplier options, and growing substitute threats. Sustainable supplier and customer relationships, supported by digital distribution strategies, were found to enhance competitiveness, while strategic location selection and integrated online-offloine marketing expanded market reach. The study concludes that the sustainability of Manikka Kaltim depends on the synergy between relationship management, startegic location, and adaptive distribution system.
Factors affecting intention to continue playing an online game: the role of competition, challenge, competence, relationship, and usefulness of the game Tri Tata Wilia
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10527

Abstract

Advances in device and communication technology have transformed gaming, with gamification significantly motivating users through game elements. Mobile apps increasingly use gamification to boost participation, yet there is limited evidence on how to attract and retain users effectively. This study identifies factors influencing players' intention to continue playing online games in Indonesia, focusing on competition, challenge, competence, social relationships, and usefulness. A survey involving 100 active players has been conducted, and data are being analyzed using SPSS. Initial findings reveal that among the examined factors, challenge significantly influences players’ intention to continue playing. Improved internet conditions in Indonesia are enhancing the gaming experience. The findings aim to provide insights for app and game developers to design effective player retention strategies, bridging the gap in understanding user engagement in mobile gaming and contributing to more engaging and sustainable gaming experiences for players in Indonesia. These results contribute to an ethical and sustainable digital marketing ecosystem in Indonesia by guiding developers to implement responsible gamification strategies that enhance long-term user engagement and trust.
Pelatihan Pembuatan Konten Media Sosial Menggunakan Teknologi Ai Untuk Mendapatkan Passive Income Bagi Siswa Smk di Cikarang Memet Sanjaya
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10484

Abstract

This study aims to analyze the improvement of digital literacy and AI-based content production skills among vocational high school (SMK) students through structured training. The research employed a quantitative approach using a one-group pretest–posttest design. A total of 33 students participated in the training, while 22 paired responses met the criteria for statistical analysis. The research instrument consisted of Likert-scale questionnaires and open-ended questions measuring content creation skills, AI knowledge, perceptions of the economic potential of digital content, and experience using AI tools. Data were analyzed using the Wilcoxon Signed Rank Test due to non-normal data distribution. The results indicate a statistically significant improvement across all measured indicators, with p-values < 0.001. These findings demonstrate that structured AI-based training is effective in enhancing digital literacy and preparing vocational students to produce economically valuable digital content. This study contributes empirical evidence to the development of AI-based digital literacy learning models in vocational education.
Marketing Strategy and Customer Value of Astuti Wedding Gallery Using SWOT, QSPM, and VPC Mutmainna
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10519

Abstract

This research examines the culture-based service development strategy at Astuti Wedding Gallery (AWG), a Javanese traditional wedding service provider in Samarinda. This study is based on the increasing interest of the younger generation towards the concept of traditional marriage combined with a modern touch, Theoretically, the study uses SWOT analysis to assess the company’s internal and external positions, as well as Value Proposition Canvas (VPC) to understand customer needs and the appropriateness of the value provided. The method used is a qualitative approach through interview, observation, and triangulation to ensure the validity of the data. The research result show that the main advantage of AWG comes from the uniqueness of Javanese culture, good interpersonal relationship with clients, and the flexibility of service packages. Weaknesses are found in limited manpower, digital promotion that is not optimal, and operational system that is not organized. Opportunities are created through traditional marriage trend and the expansion of digital marketing, while threats come from industry competition and changing economic conditions. Based on SWOT, VPC, and QSPM analysis, the most appropriate strategy is market development through the use of digital media and cooperation with local vendors. Overall the integration of cultural values with modern innovation is the basis for increasing AWG’s competitiveness.
Digitalisasi Layanan Kafe melalui Sistem Pemesanan dan Pembayaran QRIS: Peluang dan Tantangan Transformasi Bisnis Wira Afriyani Putri; Yulifda Elin Yuspita; Abdul Yamin; Muhammad Rezeki
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 2 No. 1 (2026): June 2026
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid shift in consumer behavior toward digital services has placed growing pressure on café businesses to deliver fast, transparent, and integrated customer experiences. However, most cafés continue to rely on manual processes for table reservations, menu ordering, and payment transactions, which limits operational efficiency and risks diminishing customer satisfaction in an increasingly competitive digital marketplace. This study aims to develop a web-based system that integrates table booking, pre-order menu selection, and QRIS digital payment as a form of digital transformation for café service operations. The novelty of this research lies in the unification of an interactive table layout for seat selection, pre-arrival menu ordering, digital payment processing via a payment gateway, QR Code-based booking tickets, and an administrative operational dashboard within a single integrated service platform. The study employs a Research and Development (R&D) approach using the DevOps model, encompassing the stages of Plan, Design, Code, Build, Test, Release, Deploy, and Monitor. The system was developed using Laravel 13, MySQL, Blade, and JavaScript, with QRIS payment simulation conducted through Midtrans Sandbox. The results demonstrate that the system successfully digitizes the reservation process, enhances real-time table availability transparency, accelerates the ordering workflow, and reduces reliance on manual record-keeping. The admin dashboard further provides transactional data to support evidence-based business decision-making. This system contributes a replicable model of digital service innovation relevant to café business needs, improved customer experience, and operational management in the era of digital marketing.
Peran Influencer Marketing di Tiktok terhadap Keputusan Pembelian Produk lasny_two_lasthree12 silalahi
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 2 No. 1 (2026): June 2026
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growth of TikTok as a social media platform has driven the use of influencer marketing as a digital promotional strategy in Indonesia. This study aims to analyze the influence of TikTok influencer marketing on the purchasing decisions of students at Prima Indonesia University. The study employs a quantitative approach with a causal-associative design. Data were collected via a questionnaire from 50 respondents selected using purposive sampling. The data were analyzed using validity, reliability, and normality tests, simple linear regression, t-tests, and the coefficient of determination with the aid of SPSS version 26. The results of the analysis revealed the regression equation Y = 14.235 + 0.275X, indicating a positive relationship between influencer marketing and purchasing decisions. However, the t-test results showed a significance value of 0.125 (>0.05), indicating that influencer marketing does not have a significant effect on purchasing decisions. The coefficient of determination (R²) value of 0.048 indicates that influencer marketing accounts for only 4.8% of the variation in purchasing decisions, while the remaining 95.2% is influenced by other factors outside the research model. These findings suggest that students’ purchasing decisions are not solely determined by influencer promotions but may also be influenced by other considerations, such as price, product quality, and personal preferences. Therefore, influencer marketing strategies need to be supported by product quality and the credibility of promotional messages to enhance marketing effectiveness.
Analisis Dan Klasifikasi Pilihan Kelas Layanan Bus Antar Kota Pada Periode Mudik Lebaran Menggunakan Algoritma Random Forest Dan XGBoost Rahmatika Yuandra; Mart Kellin; Patimah Pulungan
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 2 No. 1 (2026): June 2026
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growth of transportation data has created opportunities to leverage machine learning for supporting decision-making in public transportation services. However, research on classifying intercity bus service class preferences during the Eid al-Fitr homecoming (Mudik) period remains relatively limited. This study aims to analyze and classify passengers’ service class preferences using the Random Forest and XGBoost algorithms. The dataset consists of 3,942 passenger records collected from six intercity bus companies during the period of March 1–31, 2026. The features used include the relative day to Eid al-Fitr, weekend category, destination region, payment status, and bus company. The data were processed through data cleaning, feature engineering, exploratory data analysis, and machine learning modeling. The results indicate that the Random Forest algorithm achieved the best performance with an accuracy of 79.21%, slightly outperforming XGBoost, which achieved an accuracy of 78.96%. Feature importance analysis revealed that the destination region (35.24%) and the relative day to Eid al-Fitr (28.02%) were the most influential factors affecting passengers’ service class preferences. This study provides insights into passenger behavior during the Eid al-Fitr homecoming period and supports data-driven decision-making for intercity bus companies.

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