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All Journal AUSTENIT JIKO (Jurnal Informatika dan Komputer) Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah Jambura Journal of Informatics Aptisi Transactions on Technopreneurship (ATT) Jurnal Ilmiah Manajemen Publik dan Kebijakan Sosial ADI Journal on Recent Innovation (AJRI) Indonesia Berdaya Journal of Sustainable Tourism and Entrepreneurship Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Valuasi : Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan JURNAL LENTERA AKUNTANSI Manajemen dan Kewirausahaan Bussman Journal : Indonesian Journal of Business and Management Toba: Journal of Tourism, Hospitality, and Destination Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Abdimas Sosek (Jurnal Pengabdian dan Pembardayaan Masyarakat) International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Social & Economic Bulletin Ekspresi: Publikasi Kegiatan Pengabdian Indonesia Data : Journal of Information Systems and Management
Harlis Setiyowati
Universitas Pradita
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Pengaruh Kualitas Produk Promosi dan Kualitas Pelayanan Terhadap Loyalitas Pelanggan Melalui Keputusan Pembelian Pelanggan Minimarket Alfamart Ruko Beryl Gading Serpong Chandra, Ray; Setiyowati, Harlis
Manajemen dan Kewirausahaan Vol. 5 No. 2 (2024): Manajemen Kewirausahaan
Publisher : Manajemen FEB Unima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/mk.v5i2.8823

Abstract

Alfamart is a minimarket owned by PT Sumber Alfaria Trijaya TBK and has branches in almost all provinces of Indonesia This research aims to determine the influence of product quality promotion and service quality on customer loyalty through purchasing decisions of Alfamart Ruko Beryl Gading Serpong minimarket customers The research method used in this research is a quantitative method which is ex post facto in nature where the data is collected using a questionnaire and then manages the data and the analysis used is descriptive analysis The quantitative research method in this study was carried out to test the influence of product quality promotion and service quality on customer loyalty through purchasing decisions of Alfamart customers in the Serpong area The Quality and Service Quality variables have a significant positive effect on the respondents customer loyalty The variable that does not have a positive effect on customer loyalty is the Promotion variable The variable that has the highest significant positive influence on customer loyalty is Product Quality with an R Square test value of 0 762 and an F Square test result of 0 872 < em>< p>
Digitalizing Pindang Industry with Business Model Canvas for Sustainable Blue Economy Setiyowati, Harlis; Harriz, Muhammad Alfathan; Junaedi, Edi; Akbariani, Nurhaliza Vania; Widodo, Suryo
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.581

Abstract

This study aims to design a tailored Business Model Canvas (BMC) for the pindang business in Babat Village, Tangerang, to support the blue economy framework. A qualitative approach was employed, including field surveys, in-depth interviews with stakeholders, and SWOT analysis. The findings highlight strengths such as a loyal local customer base and traditional expertise, as well as opportunities to expand into modern retail and export markets. However, weaknesses like limited product diversification and threats such as fluctuating fish supplies were also identified. The study provides strategic recommendations, including sustainable product innovation, digital technology adoption, and strategic partnership development, to enhance the competitiveness of pindang products while promoting environmental sustainability. Additionally, the integration of information technology is emphasized to optimize supply chain management, improve digital marketing strategies, and enhance customer engagement through e-commerce platforms. This research contributes to the academic discourse on blue economy implementation, business model innovation in traditional industries, and the role of information technology in modernizing small-scale fisheries. It distinguishes itself from other BMC applications in traditional industries by specifically addressing the unique challenges and opportunities in pindang production, particularly within the context of sustainability and digital transformation.
The Influence of Transformational, Transactional, and Servant Leadership on Sustainable Organizational Performance: An Empirical Study in Indonesian Higher Education Saputro, Seno Hadi; Supriyanto, Bambang Eko; Setiyowati, Harlis
Social and Economic Bulletin Vol. 2 No. 3 (2025): SEBI Journal September 2025
Publisher : Baca Dulu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70550/sebi.v2i3.205

Abstract

This study examines the influence of transformational, transactional, and servant leadership on sustainable organizational performance at Institut Sains dan Bisnis Atma Luhur, Indonesia. Using a census technique involving the entire population of faculty and educational staff, this quantitative research employed multiple linear regression analysis to test the hypothesized relationships. The findings reveal that while the three leadership styles collectively influence sustainable organizational performance, only servant leadership demonstrates a significant individual effect. Transformational and transactional leadership showed no significant direct effects on sustainable performance. These counterintuitive findings challenge the dominant transformational leadership paradigm prevalent in management literature and highlight the critical importance of servant leadership in knowledge-intensive organizations. The study suggests that servant leadership's emphasis on empowerment, stewardship, trust-building, and people-centered culture aligns better with the nature of academic work characterized by high professional autonomy and intrinsic motivation. The findings also resonate with Indonesian collectivistic cultural values that emphasize harmony and relationships. Practical implications include prioritizing servant leadership competency development at all organizational levels and adopting a comprehensive systemic approach to achieving institutional sustainability beyond leadership factors alone
Mapping and rebranding ornamental fish farming in Depok, West Java, contributions to the SDGs Harriz, Muhammad Alfathan; Setiyowati, Harlis; Akbariani, Nurhaliza Vania
Journal of Sustainable Tourism and Entrepreneurship Vol. 6 No. 2 (2025): January
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/joste.v6i2.2300

Abstract

Purpose: This study aims to identify and prioritize effective rebranding strategies for the ornamental fish farming industry in Depok, West Java, using the Analytic Hierarchy Process (AHP) to address challenges such as limited market access, environmental sustainability issues, and economic feasibility concerns while aligning with Sustainable Development Goals (SDGs). Research Methodology: The research employs a mixed-method approach, combining qualitative research through in-depth interviews with key stakeholders and quantitative analysis using the AHP to systematically evaluate and prioritize rebranding strategies based on multiple criteria. Results: The study identified market access as the most critical criterion, followed by environmental sustainability and economic feasibility, with digital marketing emerging as the most effective rebranding strategy, scoring 0.67, followed by sustainability certification (0.22) and community outreach programs (0.11). Limitations: The research is limited by a small sample size, potentially affecting result generalizability. The AHP methodology introduces possible subjective biases through pairwise comparisons. The study's regional specificity may constrain broader applicability. Furthermore, the emphasis on rebranding strategies may not encompass all potential solutions to industry challenges. Contribution: This research provides actionable insights for stakeholders in the ornamental fish farming industry to implement sustainable development strategies, aligning with SDGs 1, 8, and 14. It offers a systematic approach to decision-making through the application of AHP. Novelty: This study innovatively applies the AHP to rebranding strategies in ornamental fish farming, uniquely integrating sustainable development principles with quantitative decision-making. This approach offers a new paradigm for strategic planning in aquaculture, contrasting with traditional qualitative methods in the field.
AN ANALYSIS OF THE IMPACT OF AI ON LEADERSHIP MANAGEMENT AND DECISION-MAKING PROCESSES Irfan Maulana; Harlis Setiyowati
International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Vol. 3 No. 6 (2025): December
Publisher : ZILLZELL MEDIA PRIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61990/ijamesc.v3i6.641

Abstract

This study aims to analyze the impact of the application of artificial intelligence (AI) on leadership management and decision-making processes in modern organizations, with a case study at PT. Oupu Building Materials, Tangerang. This study uses a qualitative descriptive approach through in-depth interviews with seven informants consisting of managers, division heads, and sales and promotion employees. The results show that the application of AI brings transformation in the decision-making process, where decisions become faster, more accurate, and data-driven. In addition, AI also changes the leadership style to be more collaborative and adaptive to technological developments. However, this study also identified several key challenges, such as dependence on data quality, the risk of algorithmic bias, and employee resistance to change. Leaders are required to develop ethical, adaptive leadership strategies oriented towards developing employees' digital competencies to maximize the potential of AI without neglecting the human aspect of decision-making. Thus, AI is not only an analytical tool, but also a catalyst in creating innovative.
Penerapan Model Bisnis Canvas pada POKLAHSAR di Kronjo, Kab. Tangerang [Application of the Business Model Canvas in POKLAHSAR, Kronjo, Tangerang Regency] Setiyowati, Harlis; Meidiyustiani, Rinny; Kusumaningsih, Dewi; Akbariani, Nurhaliza Vania; Maulana, Irfan; Aryanto, Puput
Indonesia Berdaya Vol 7, No 2 (2026)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20261451

Abstract

Abstract. Small-scale fish processing activities in Kronjo District, Tangerang Regency, play a significant role in supporting the coastal community’s economy; however, they still face limitations in structured and sustainable business management. Most fish processors operate traditional businesses without a clear understanding of their business models, resulting in underutilized value-added potential. This community service activity aims to apply the Business Model Canvas (BMC) as a mentoring tool to enhance managerial capacity and business understanding among fish processors in Kronjo District. The method employed was a descriptive qualitative approach within a community engagement framework, using field observations, interviews, and focus group discussions. The results indicate that the implementation of the Business Model Canvas improved partners’ understanding of their business structure, particularly in identifying customer segments, formulating value propositions, and recognizing the relationship between cost structures and revenue streams. The application of BMC also encouraged a shift in mindset from a production-oriented approach to more structured and sustainable business management. This activity concludes that the Business Model Canvas is an effective and practical tool for community service programs aimed at strengthening small-scale fish processing businesses and enhancing the welfare of coastal communities. Abstrak. Kegiatan pengolahan ikan skala kecil di Kecamatan Kronjo, Kabupaten Tangerang, memiliki peran penting dalam menopang perekonomian masyarakat pesisir, namun masih menghadapi keterbatasan dalam pengelolaan usaha yang terstruktur dan berkelanjutan. Sebagian besar pelaku usaha menjalankan bisnis secara tradisional tanpa pemahaman yang memadai mengenai model bisnis, sehingga potensi nilai tambah produk belum dimanfaatkan secara optimal. Kegiatan ini bertujuan untuk menerapkan Business Model Canvas (BMC) sebagai alat pendampingan guna meningkatkan pemahaman dan kapasitas manajerial pengolah ikan di Kecamatan Kronjo. Metode yang digunakan adalah pendekatan deskriptif kualitatif berbasis pengabdian kepada masyarakat melalui observasi lapangan, wawancara, dan diskusi kelompok terarah. Hasil kegiatan menunjukkan bahwa penerapan Business Model Canvas membantu mitra memahami struktur bisnis secara lebih komprehensif, khususnya dalam mengidentifikasi segmen pelanggan, merumuskan proposisi nilai, serta memahami hubungan antara biaya dan pendapatan usaha. Penerapan BMC juga mendorong perubahan pola pikir mitra dari orientasi produksi menuju pengelolaan usaha yang lebih terarah dan berkelanjutan. Kegiatan ini menyimpulkan bahwa Business Model Canvas merupakan alat yang efektif dan aplikatif dalam program pengabdian kepada masyarakat untuk mendukung penguatan usaha pengolahan ikan dan peningkatan kesejahteraan masyarakat pesisir.
Enhancing the Efficiency of Jakarta's Mass Rapid Transit System with XGBoost Algorithm for Passenger Prediction Harriz, Muhammad Alfathan; Akbariani, Nurhaliza Vania; Setiyowati, Harlis; Santoso, Handri
Jambura Journal of Informatics VOL 5, NO 1: APRIL 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jji.v5i1.18814

Abstract

This study is based on a machine learning algorithm known as XGBoost. We used the XGBoost algorithm to forecast the capacity of Jakarta's mass transit system. Using preprocessed raw data obtained from the Jakarta Open Data website for the period 2020-2021 as a training medium, we achieved a mean absolute percentage error of 69. However, after the model was fine-tuned, the MAPE was significantly reduced by 28.99% to 49.97. The XGBoost algorithm was found to be effective in detecting patterns and trends in the data, which can be used to improve routes and plan future studies by providing valuable insights. It is possible that additional data points, such as holidays and weather conditions, will further enhance the accuracy of the model in future research. As a result of implementing XGBoost, Jakarta's transportation system can optimize resource utilization and improve customer service in order to improve passenger satisfaction. Future studies may benefit from additional data points, such as holidays and weather conditions, in order to improve XGBoost's efficiency.
Predicting Supply Chain Risks Using Machine Learning for Resilient Operations Widayanti, Riya; Setiyowati, Harlis; Yusup, Muhamad; Rodriguez, Marta
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1376

Abstract

Rising supply chain disruptions highlight increasing vulnerabilities in global logistics networks caused by geopolitical conflicts, fluctuating demand, transportation failures, and environmental instability. These challenges reveal the limitations of conventional risk assessment approaches that rely heavily on manual analysis and historical data. Machine Learning (ML) offers a promising approach to enhance predictive intelligence and support more accurate decision making in complex supply chain environments. This study aims to develop and evaluate a Machine Learning based risk prediction model capable of identifying potential supply chain disruptions and enabling early detection of critical risk factors in global logistics operations. A quantitative experimental approach was employed using supply chain datasets integrated with disruption indicators from international logistics activities. The dataset consisted of more than 5,000 operational records collected between 2018 and 2024. Several machine learning algorithms were implemented and compared, including Random Forest, Gradient Boosting, and Support Vector Machines. Experimental results indicate that the Gradient Boosting algorithm achieved the highest predictive performance with an accuracy of 94.2%. The model successfully identified key determinants of supply chain risk, including demand variability, supplier reliability, and transportation delays. These findings confirm that machine learning based predictive models can enhance supply chain resilience by enabling early risk detection and supporting proactive decision making in global logistics operations.
Co-Authors Akbariani, Nurhaliza Vania Amroni Amroni, Amroni Aprillia Eka Lestari Aryanto, Puput Astuti, Eka Dian Azuddin, Muna Basuki, Sucipto Carlos Perez Chandra, Ray Cicilia S Bangun Dewa Gede Satriawan Dewi Kusumaningsih Edi Junaedi Edi Junaedi Enden Suryati Firdaus Firdaus Gazali Rahman Handri Santoso Harimurti Wulandjani Ikhsan, Ramiro Santiago Indah Sulistyoningsih Irfan Maulana Irfan Maulana, Irfan Jaka Suwita Konita Lutfiyah Kurniadjaya, Morgan Lestari, Aprillia Eka Lie, Shania Luh Putu Puji Trisnawati Mayatopani, Hendra Muhamad Yusup Muhammad Alfathan Harriz Nurhaliza Vania Akbariani Nurhaliza Vania Akbariani Nurhaliza Vania Akbariani Nurjannah Nurjannah Pasha, Lukita Qurotul Aini Ratna Setiawati Rina Rina Rinny Meidiyustiani Riya Widayanti Rizki Kurniawan Rodriguez, Marta Santoso, Handri Seno Hadi Saputro Setiawati, Ratna Shania Lie Soni Hartanto Supriyanto, Bambang Eko Surjo Widodo Suryo Widodo Sutapa, Widasapta Thalib, Supriadi V. Lilik Hariyanto Wibowo, Shesilia