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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 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 Eduvest - Journal of Universal Studies Jurnal Abdimas Sosek (Jurnal Pengabdian dan Pembardayaan Masyarakat) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Ekspresi: Publikasi Kegiatan Pengabdian Indonesia Data : Journal of Information Systems and Management
Harlis Setiyowati
Universitas Pradita
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Neuroscience Social Sciences Other

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Digital Meets Distribution: Quantifying the Impact of Logistics Integration in Emerging Market Omnichannel Retail Akbariani, Nurhaliza Vania; Setiyowati, Harlis
Data : Journal of Information Systems and Management Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i4.920

Abstract

This study examines the impact of omnichannel logistics integration on retail service level performance in Indonesia between 2020 and 2024. Amidst rapid digital transformation in Southeast Asia, major Indonesian retailers such as AMRT, MIDI, MAPI, and LPPF have implemented innovations including store hubs, click-and-collect, and Pay & Pick services to meet evolving consumer expectations. Using firm-level quarterly panel data and employing fixed effects and event study models, the study analyzes how omnichannel logistics adoption represented by infrastructure investments and digital feature rollout affects service-level indicators such as inventory turnover, fill rate, and on-time delivery. The findings indicate that logistics integration significantly improves service metrics, with firms observing a 4–6% improvement in performance indicators within two quarters of implementation. This underscores the strategic value of aligning digital and physical infrastructure in emerging markets, offering evidence that logistics integration enhances both operational efficiency and service quality. The study contributes to both theoretical literature and practical retail strategies by framing omnichannel performance through a quantitative, data-driven lens.
Pengaruh E-Service Quality Terhadap E-loyalty Pada Weverse Shop di Indonesia Melalui E-Satisfaction Dalam Mendukung SDGs Lie, Shania; Setiyowati, Harlis
Manajemen dan Kewirausahaan Vol. 5 No. 1 (2024): Manajemen & Kewirausahaan
Publisher : Manajemen FEB Unima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/mk.v5i1.8404

Abstract

Weverse shop merupakan aplikasi asal untuk membeli merchandise K-Pop resmi bagi penggemar yang didirikan tahun 2019 dan berada di bawah naungan Hybe Corporation di Korea Selatan. Penelitian ini bertujuan untuk mengetahui pengaruh e-service quality terhadap e-loyalty melalui e-satisfaction pada Weverse Shop di Indonesia periode Januari 2020-2022. Penelitian ini menggunakan ex-post facto dengan pendekatan kuantitatif serta menggunakan teknik Partial Least Square (PLS). Responden yang terlibat adalah 128 responden yang berkriteria telah melakukan pembelian melalui Weverse Shop minimal tiga kali dalam satu tahun. Penelitian menunjukkan bahwa peningkatan pada e-service quality yang baik meningkatkan juga e-satisfaction yang menyebabkan timbulnya e-loyalty konsumen terhadap Weverse Shop di Indonesia dan hal ini berkontribusi bagi terlaksananya tujuan pembangunan berkelanjutan, diantaranya relevan dalam mendukung tujuan SDG 1 (tidak ada kemiskinan), tujuan SDG 8 (pekerjaan layak dan pertumbuhan ekonomi) dimana Weverse shop dapat memberikan peluang ekonomi kepada perorangan maupun UMKM di Indonesia dengan membuat kesempatan untuk membuka lapangan pekerjaan dan turut serta dalam perdagangan elektronik, serta relevan dalam mendukung tujuan SDG 9 (Industri, Inovasi, dan Infrastruktur) dengan menggunakan internet sebagai pendukung untuk membuat inovasi.   Weverse Shop is an application for purchasing official K-Pop merchandise for fans, established in 2019 and operating under the umbrella of Hybe Corporation in South Korea. This research aims to investigate the influence of e-service quality on e-loyalty through e-satisfaction on Weverse Shop in Indonesia during the period from January 2020 to 2022. The study employs an ex post facto design with a quantitative approach and utilizes the Partial Least Square (PLS) technique. The participants in this study are 128 respondents who meet the criteria of having made purchases through Weverse Shop at least three times within one year. The findings indicate that improvements in good e-service quality also enhance e-satisfaction, leading to the emergence of consumer e-loyalty towards Weverse Shop in Indonesia. This contributes to the achievement of sustainable development goals, particularly supporting SDG 1 (no poverty), and SDG 8 (decent work and economic growth) by providing economic opportunities to individuals and SMEs in Indonesia, creating employment opportunities, and participating in electronic commerce. Additionally, it aligns with SDG 9 (industry, innovation, and infrastructure) by utilizing the internet as a support for innovation.
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.
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.
Analisis Klasterisasi Kualitas Udara Menggunakan Algoritma Fuzzy C-Means Berdasarkan Parameter NO2 dan SO2 di Provinsi Aceh Muhammad Alfathan Harriz; Harlis Setiyowati; Edi Junaedi
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 2 (2025): Juli: Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i2.1083

Abstract

The degradation of air quality in Indonesia, particularly in Aceh Province, requires advanced analytical approaches to capture the complexities of air pollution patterns. This study aims to apply the Fuzzy C-Means (FCM) algorithm to cluster regions based on NO2 and SO2 concentrations and to determine the optimal cluster configuration. Air quality index data from 2023–2024, totaling 365 entries, were analyzed using FCM with a fuzzifier parameter of m = 2.0. Performance evaluation was conducted using the Fuzzy Partition Coefficient, Silhouette Score, and Davies-Bouldin Index. The analysis produced two optimal clusters with an FPC of 1.00. Cluster 1 (228 entries) showed an average NO2 concentration of 4.68 μg/m³ and SO2 of 7.10 μg/m³. Cluster 2 (137 entries) exhibited NO2 at 8.74 μg/m³ and SO2 at 6.18 μg/m³. Cross-validation demonstrated consistency in distribution between the training data [0.63; 0.37] and testing data [0.6; 0.4]. FCM proved effective in identifying spatial patterns of air quality with high accuracy, providing a scientific basis for the development of targeted air pollution control policies in Aceh Province.
A COMPARISON OF THE NAIVE BAYES AND K-NN ALGORITHMS IN PREDICTING THE FRESHNESS OF MILKFISH AT FISH AUCTIONS Setiyowati, Harlis; Mayatopani, Hendra; Hariyanto, Lilik; Harriz, Muhammad Alfathan
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2277

Abstract

This research aims to compare the performance of two machine learning algorithms, Naive Bayes and K-Nearest Neighbors (K-NN), in predicting the freshness of milkfish (Chanos chanos) at fish auctions. Predicting fish freshness is an important aspect to ensure product quality and customer satisfaction. The Naive Bayes algorithm, which is based on Bayes' Theorem with the assumption of independence between features, as well as the K-NN algorithm, which uses an instance-based approach to classify data based on proximity to k nearest neighbors, were implemented and tested. Evaluation is carried out using accuracy and Kappa metrics. The results show that Naive Bayes achieved an accuracy of 73.44% with a Kappa value of 0.594, indicating good performance in predicting the freshness of milkfish. In contrast, K-NN shows an accuracy of 68.75% and a Kappa value of 0.461, which means its performance is lower compared to Naive Bayes. Further analysis revealed that Naive Bayes is more computationally efficient and faster at making predictions, making it better suited for real-time applications at fish auctions. However, Naive Bayes has limitations in assuming feature independence which may not always be true in real-world situations. On the other hand, K-NN although more flexible and capable of capturing complex patterns in data, tends to be slow and requires optimization of parameters such as k values ​​to improve its performance. In conclusion, Naive Bayes is recommended for predicting the freshness of milkfish at fish auctions because of its higher accuracy and reliability. Further research is needed to optimize these two algorithms through parameter adjustments and the use of ensemble methods to improve overall prediction performance.
The Educational Tourism at "JAWA TIMUR Park-3" During the Covid-19 Pandemic; SWOT Analysis Setiyowati, Harlis; Ratna Setiawati; Surjo Widodo; Soni Hartanto; Dewa Gede Satriawan
TOBA: Journal of Tourism, Hospitality, and Destination Vol. 1 No. 2 (2022): May 2022
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.161 KB) | DOI: 10.55123/toba.v1i2.424

Abstract

Wisata Jawa Timur Park (JTP-3)  adalah wisata edukasi pertama di Indonesia dalam menyajikan ratusan patung lilin dari para tokoh dan artis dunia dan replika tempat favorit dari berbagai Negara. Lokasi JTP-3 di Jl. Ir. Soekarno No.144, Junrejo, Batu, Jawa Timur. Metodologi penelitian menggunakan metode kualitatif dengan analisis Strengths-Weaknesses-Opportunities-Threats (SWOT) dengan tahapan yaitu Internal Factor Evaluation Matrix (Matrik IFE), Eksternal Faktor Evaluation Matrix (Matrik EFE), Internal and external Matrix (Matrik IE), dan Quantitative Strategic Planning Matrix (Matrik QSPM). Hasil menunjukkan bahwa posisi JTP-3 berada pada kuadran I yaitu posisi yang sangat menguntungkan. JTP-3 memiliki peluang dan kekuatan sehingga dapat memanfaatkan peluang yang ada. Strategi yang harus diterapkan adalah mendukung kebijakan pertumbuhan yang agresif (growth oriented strategy). Peneliti selanjutnya diharapkan untuk menerapan manajemen pengetahuan yang difokuskan pada peningkatan kompetensi per individu sehingga jika terjadi pengurangan pegawai tidak akan menjadi masalah. Untuk meningkatkan perekonomian dan kesejahteraan masyarakat, diperlukan komitmen bersama seluruh pemangku kepentingan dan masyarakat untuk dapat memperoleh manfaat secara optimal melalui pendekatan ilmiah, sosial, politik, ekologi dan ekonomi.
PENERAPAN KONSEP SUSTAINABLE FINANCE: Model Analitycal Hierarchy Process Setiyowati, Harlis; Trisnawati, Luh Putu Puji
JURNAL LENTERA AKUNTANSI Vol. 8 No. 1 (2023): JURNAL LENTERA AKUNTANSI, MEI 2023
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrakt.v8i1.826

Abstract

The idea of sustainable finance has gained acceptance on a global and regional scale, including in Indonesia. Applications of this new financial idea face challenges. Making a model for sustainable finance implementation is the aim of this study. The AHP model's goal is to establish a economic, social, and value  environment and corporate governance. The first level is a factor, namely obstacles to the implementation of sustainable finance, namely; economic, social and environmental aspects, issues of rules and regulations, disclosure of sustainable reports and technological interventions. Based on the results of testing the AHP model, the most important factor in implementing the concept of Sustainable Finance is the "Economic, Social and Environmental Aspects" factor with a weight of 0.390, the second most important factor is "Rules and Regulation Issues" with a weight of 0.319, then the "Disclosure of Sustainability Reports" factor with weight 0.158 and the lowest is the "Technological Intervention" factor with a weight of 0.132. Meanwhile, based on the test results, the most important actor in the concept of Sustainable  Finance based on test results, namely Financial Services Institutions with a weight of 0.338. The second most important actor is the Issuer with a weight of 0.275. The third most important actor is a Public Company with a weight of 0.264, and the actor with the lowest weight is All Related Parties with a weight of 0.147.  Recommend that For financial institutions and investors to be prepared to participate in ESG-based businesses, legislation and norms pertaining to sustainable finance urgently need to be improved, particularly fines for non-compliance and purposeful manipulation of sustainability reports.Keywords: AHP, Sustainable Finance 
AN AQUACULTURE DISRUPTED BY DIGITAL TECHNOLOGY Setiyowati, Harlis; Thalib, Supriadi; Setiawati, Ratna; Nurjannah, Nurjannah; Akbariani, Nurhaliza Vania
AUSTENIT Vol. 14 No. 1 (2022): AUSTENIT: April 2022
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v14i1.4608

Abstract

Fish farming as a primary protein source is significantly more efficient than other protein sources, and demand for fish continues to climb. The future of fish farming is brighter, more traceable, and more profitable. This research aims to learn everything there is to know about the Internet of Things (IoT) systems, including their technology, protocols, and potential hazards. According to the literature, 3D printing, robotics, drones, sensors, artificial intelligence, augmented reality (AR), virtual reality (VR), and blockchain are the digital technologies affecting aquaculture. A wide range of industries is adapting and using it.
Integrating MidJourney Scripts into Architectural Design for Aesthetic Innovation Aini, Qurotul; Setiyowati, Harlis; Ikhsan, Ramiro Santiago; Amroni, Amroni; Pasha, Lukita
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.955

Abstract

The use of Artificial Intelligence (AI) in creative disciplines, particularly architecture, has introduced a paradigm shift in how design concepts are developed and visualized. This research explores the integration of MidJourney generative scripts within the architectural design process. Using a hybrid methodology of qualitative observation and computational experimentation, this study evaluates how AI-driven image generation influences form exploration, material perception, and aesthetic decision-making. The main objective is to identify how AI-based generative systems, specifically MidJourney, can enhance conceptual creativity and accelerate the design iteration cycle in architectural practice. Unlike previous procedural models limited to parametric control, this study introduces an adaptive AI human feedback mechanism enabling continuous co-evolution between designer intent and machine generation. Our findings indicate that AI-assisted workflows enhance the production of innovative architectural compositions, offering greater visual diversity, while simultaneously enhancing creative efficiency and reducing design fatigue. Quantitatively, AI integration improved design iteration speed by 65% and increased aesthetic consistency scores from 78% to 91%, compared to traditional workflows. Integrating MidJourney generative scripting into architectural workflows creates a dynamic feedback loop between human intuition and machine creativity, leading to a new model of aesthetic co-creation that expands the boundaries of contemporary architectural design.
Co-Authors Akbariani, Nurhaliza Vania Amroni Amroni, Amroni Aprillia Eka Lestari Astuti, Eka Dian Azuddin, Muna Basuki, Sucipto Carlos Perez Chandra, Ray Cicilia S Bangun Dazk, Erick Dewa Gede Satriawan Edi Junaedi Edi Junaedi Enden Suryati Firdaus Firdaus Gazali Rahman Handri Santoso Handri Santoso Harimurti Wulandjani Ikhsan, Ramiro Santiago Indah Sulistyoningsih 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 Nurhaliza Vania Akbariani Nurjannah Nurjannah Pasha, Lukita Qurotul Aini Ratna Setiawati Rina Rina Rizki Kurniawan Santoso, Handri Sembiring, Rinawati Setiawati, Ratna Shania Lie Soni Hartanto Surjo Widodo Suryo Widodo Thalib, Supriadi Trisnawati, Luh Putu Puji V. Lilik Hariyanto Wibowo, Shesilia Widasapta Sutapa