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Determinant Factors of National Entrepreneurial Activity: a Cross-Country Study Widianto, Sunu
JDM (Jurnal Dinamika Manajemen) Vol 10, No 1 (2019): March 2019 (DOAJ Indexed)
Publisher : Department of Management, Faculty of Economics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jdm.v10i1.16621

The purpose of this study was to understand the phenomenon of entrepreneurship activity with a coherent paradigm that has not been widely explored. Entrepreneurship has been regarded as one of the important factor that support growth and socioeconomic development of a country because it can provides so many jobs, which ultimately will improve the welfare state and competitive advantage. Prior studies have been conducted research which is none of the comprehensive approach taken to explain the factors that encourage entrepreneurial activity that occurred in various countries around the world. This study found that Individualism negatively significant influence TEA which means the higher level of individualism of a country the lower Entrepeneurial activity. Moreover, cost enforcing contracts significantly influence national entrepreneurial activity which means the higher level of cost enforcing contracts the higher level of TEA.

Lending Rationale of Financial Institution and Fintech on the Perception of Borrowers: A Qualitative Study Anwar, Mokhamad; Nidar, Sulaeman Rahman; Widianto, Sunu; Layyinaturrobaniyah, Layyinaturrobaniyah
JDM (Jurnal Dinamika Manajemen) Vol 12, No 2 (2021): September 2021
Publisher : Department of Management, Faculty of Economics and Business, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jdm.v12i2.31896

The development of Financial Institutions including Financial Technology (Fintech) in providing loans to borrowers is increasingly important in the current business financing system. This study aims to determine the perceptions of borrowers by exploring their views on lending practices pro- vided by financial institutions and fintech and identifying the factors that influence the institution’s decision to provide loans to them. This study uses a qualitative research method by asking a number of questions to debtors in one of the Micro and Small and Medium Enterprises (MSMEs) commu- nities in the city of Bandung, Indonesia. The questionnaire form is in the form of open-ended ques- tions and is distributed to 47 MSMEs in the city with various types of business fields. The results show that the factors that influence the success of borrowers in obtaining credit from both financial institutions and fintech are the factors classified as 5 Cs of credit in terms of Character, Capacity, Capital, Collateral, and Conditions. All these factors are summarized as soft information and hard information, which are applied by financial institutions and financial technology institutions.

RETRACTED: Sustainable human resource management: A transformation perspective of human resource management functions through optimised artificial intelligence Adz Zikri, Arif Furqon Nugraha; Widianto, Sunu; Komaladewi, Rita
BISMA (Bisnis dan Manajemen) Vol. 16 No. 2 (2024)
Publisher : Universitas Negeri Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/bisma.v16n2.p167-189

We would like to formally announce the retraction of the article “Sustainable Human Resource Management: A Transformation Perspective of Human Resource Management Functions Through Optimized Artificial Intelligence,” published in Volume 16, Issue 2, May 2024. This retraction arises from the discovery that the article was also published in the Jurnal Aplikasi Bisnis dan Manajemen, violating our policy regarding duplicate publication. As a result, the document associated with this article, including its content and any supplementary materials, has been retracted from the journal BISMA (Bisnis dan Manajemen). It is, therefore, essential to take appropriate steps to eliminate all references to this article.

RETRACTED: Sustainable Human Resource Management: A Transformation Perspective of HRM Functions Through Optimized Artificial Intelligence Nugraha Adz Zikri, Arif Furqon; Widianto, Sunu; Komaladewi, Rita
Jurnal Aplikasi Bisnis dan Manajemen Vol. 10 No. 2 (2024): JABM, Vol. 10 No. 2, Mei 2024
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.10.2.557

We hereby announce the retraction of the article titled “Sustainable Human Resource Management: A Transformation Perspective of HRM Functions Through Optimized Artificial Intelligence”, Vol. 10 No. 2, Mei 2024. This retraction is due to the discovery that the article had been previously published in BISMA (Bisnis dan Manajemen, which constitutes a violation of our policy on duplicate publication. The document pertaining to the article, including its content and any supplementary materials, has been retracted from the Jurnal Aplikasi Bisnis Dan Manajemen (JABM). Consequently, it is imperative to undertake reasonable measures to expunge all references to this article.

Marketing Strategy Analysis Using Apriori Association Method To Increase Sales In E-Commerce Companies Okviannas, Nadilla; Widianto, Sunu; Komaladewi, Rita
Dinasti International Journal of Economics, Finance & Accounting Vol. 6 No. 3 (2025): Dinasti International Journal of Economics, Finance & Accounting (July-August 2
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v6i3.4681

This research aims to analyze marketing strategies by utilizing association data mining algorithms, specifically Apriori and FP-Growth, to increase sales in e-commerce companies. The data used consists of actual sales data from Blibli.com, analyzed using RapidMiner to identify significant purchasing patterns. The analysis results show a strong association between products such as "Mother & Baby Needs – Body Skin Care" (support 0.108, confidence 0.476) and "Skin Care – Household Care" (support 0.195, confidence 0.443). These patterns indicate opportunities to design marketing strategies based on product bundling, discounts, and personalized digital promotions.The Apriori algorithm provides more intuitive and relevant results for marketing analysis compared to FP-Growth, which is better suited for larger datasets. The proposed marketing strategies include digital campaigns, bundling offers, push notifications, and event marketing that emphasize consumers' functional and emotional values. This study highlights the importance of understanding consumer transaction patterns in designing effective marketing strategies to enhance customer appeal and e-commerce company profits. By applying data mining, companies can create more personalized and efficient shopping experiences tailored to market needs.

PENGARUH MOTIVASI KERJA DAN PERSEPSI DUKUNGAN ORGANISASI TERHADAP PERILAKU PROAKTIF PENELITIAN (STUDI KASUS PADA DOSEN DI POLITEKNIK LP3I JAKARTA): PENDEKATAN TEORI DETERMINASI DIRI Nibras, Hanifah Fauziyah; Widianto, Sunu
CENDEKIA: Jurnal Ilmu Pengetahuan Vol. 5 No. 1 (2025)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/cendekia.v5i1.3051

The large number of lecturers and universities does not necessarily result in high research publications because Indonesian research publications are still low at the international level. This study aims to determine work motivation and perceptions of organizational support for proactive research behavior (case study of lecturers at the LP3I Jakarta Polytechnic): a self-determination theory approach. This study uses quantitative research with a sample of 99 lecturers at the LP3I Jakarta Polytechnic. The results show that work motivation, both intrinsic and extrinsic, significantly encourages proactive behavior. Motivated lecturers tend to be more initiative and oriented towards improving performance. In addition, perceptions of organizational support also have a positive effect; lecturers who feel supported tend to be more proactive. Simultaneously, these two variables explain 64% of the variance in proactive behavior, underlining the importance of internal and external factors. The implication is that the LP3I Jakarta Polytechnic needs to apply a holistic approach, combining the development of lecturers' work motivation (through training, recognition, etc.) with the creation of a supportive environment (constructive feedback, resources, etc.). This integrated strategy will foster proactive behavior, which ultimately improves the quality of the institution. ABSTRAKBanyaknya dosen dan perguruan tinggi tidak serta merta menjadikan publikasi hasil penelitian menjadi tinggi karena publikasi hasil penelitian Indonesia masih rendah di tingkat internasional. Penelitian ini bertujuan untuk mengetahui motivasi kerja dan persepsi dukungan organisasi terhadap perilaku proaktif penelitian (studi kasus pada dosen di politeknik LP3I Jakarta): pendekatan teori determinasi diri. Penelitian ini menggunakan penelitian kuantitatif dengan sampel dalam penelitian ini adalah dosen Politeknik LP3I Jakarta sejumlah 99 orang. Hasilnya menunjukkan bahwa motivasi kerja, baik intrinsik maupun ekstrinsik, secara signifikan mendorong perilaku proaktif. Dosen yang termotivasi cenderung lebih inisiatif dan berorientasi pada peningkatan kinerja. Selain itu, persepsi dukungan organisasi juga berpengaruh positif; dosen yang merasa didukung cenderung lebih proaktif. Secara simultan, kedua variabel ini menjelaskan 64% varians perilaku proaktif, menggarisbawahi pentingnya faktor internal dan eksternal. Implikasinya, Politeknik LP3I Jakarta perlu menerapkan pendekatan holistik, memadukan pengembangan motivasi kerja dosen (melalui pelatihan, pengakuan, dll.) dengan penciptaan lingkungan yang mendukung (umpan balik konstruktif, sumber daya, dll.). Strategi terintegrasi ini akan menumbuhkan perilaku proaktif, yang pada akhirnya meningkatkan kualitas institusi.

The Influence Of Servant Leadership And Auditor Competence On The Improvement Of Internal Audit Effectiveness With The Creation Of Risk Culture As An Intervening Variable In The Main Inspectorate Of BRIN Ernest, Bona; Widianto, Sunu; Hadianto, Arief
Eduvest - Journal of Universal Studies Vol. 4 No. 7 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i7.1610

The National Research and Innovation Agency (BRIN), established in 2021, integrates various research institutions in Indonesia to focus on research and innovation without regulatory duties. This study investigates the impact of servant leadership, auditor competence, and risk culture on the effectiveness of internal audits at BRIN, utilizing a quantitative method with data collected via questionnaires from BRIN's Main Inspectorate. The results indicate that servant leadership significantly influences the creation of a risk culture but not internal audit effectiveness directly. However, auditor competence and risk culture significantly enhance internal audit effectiveness. Additionally, servant leadership indirectly improves internal audit effectiveness through the creation of a risk culture. The study highlights the need for fostering a risk culture and enhancing auditor competence to improve internal audit effectiveness in newly established institutions like BRIN.

Determinant Factors of National Entrepreneurial Activity: a Cross-Country Study Widianto, Sunu
JDM (Jurnal Dinamika Manajemen) Vol 10, No 1 (2019): March 2019
Publisher : Department of Management, Faculty of Economics and Business, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jdm.v10i1.16621

The purpose of this study was to understand the phenomenon of entrepreneurship activity with a coherent paradigm that has not been widely explored. Entrepreneurship has been regarded as one of the important factor that support growth and socioeconomic development of a country because it can provides so many jobs, which ultimately will improve the welfare state and competitive advantage. Prior studies have been conducted research which is none of the comprehensive approach taken to explain the factors that encourage entrepreneurial activity that occurred in various countries around the world. This study found that Individualism negatively significant influence TEA which means the higher level of individualism of a country the lower Entrepeneurial activity. Moreover, cost enforcing contracts significantly influence national entrepreneurial activity which means the higher level of cost enforcing contracts the higher level of TEA.

Prediction of Customer Engagement Response to E-wallet Content Based on Machine Learning Using Combined E-Wallet Dataset and Individual E-Wallet Dataset Rizaldi, Muhammad Ibnu; Widianto, Sunu
MIX: JURNAL ILMIAH MANAJEMEN Vol 14, No 1 (2024): MIX: Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jurnal_mix.2024.v14i1.012

Objectives: The COVID pandemic proved that humans are not hesitant to adopt technology in the banking industry, especially as a method of payment. In Indonesia, this fact is demonstrated by the value of e-wallet transactions in 2021 which reached 18,5 billion USD. The implementation of QRIS (Quick Response Code Indonesian Standard) in the payment systems of e-wallets compels every e-wallet provider to intensify their marketing activities to overcome competitors. Previous studies on this topic primarily focused on factors that influence customer engagement on social media using traditional approaches, such as interviews and statistical methods to process the data. This research aims to overcome the limitations of previous research by using machine learning methods in predicting the customer engagement type of primary data collected directly from social media in this case Twitter.Methodology: In this paper, we propose the application of machine learning methods such as XGBoost, Random Forest, Decision Tree, and KNN to predict the most likely engagement type of a tweet related to e-wallet content using 15.756 data which are directly collected from Twitter.Finding: This research successfully found that XGBoost and KNN are the machine learning algorithms that perform best and the results in prediction from using the combined dataset and the individual e-wallet brands dataset are similar.Conclusion: Even though the prediction accuracy in this research is good, this research still has many limitations. Thus, future research in the same field would benefit from a larger amount of data to accommodate machine learning algorithms that are more complex like deep learning.

Understanding Telecommunication Customer Churn: Insights from LightGBM Predictive Modelling and SHAP Feature Interpretation Sinaga, Ruben; Widianto, Sunu
ASEAN Marketing Journal
Publisher : UI Scholars Hub

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

Manuscript Type: Research Article Research Aims: This research is expected to contribute to scientific insights on machine learning predictions, how to understand the contribution of variables and their interpretation in the overall context of customer churn in telecommunications companies. Design/Methodology/Approach: Data was collected from one Indonesian telecommunication company within a total of 50,000 sample data points. The data was analyzed using a machine learning algorithm to process, predict, and interpret the result based on the research scenario. Research Findings: These findings revealed that the SHAP framework significantly impacts the churn problem, allowing the marketing team to implement the right strategy based on customer personalization. Theoretical Contribution/Originality: This research enriches customer churn research in the telecommunications industry by introducing a combined method of the LightGBM model and SHAP framework, providing a thorough analysis of variable contributions to the customer churn model used, and addressing the lack of research that focuses on variable contributions. Practitioner/Policy Implication: This research provides an overview of the utilization of customer variables that can later be studied deeply by data or marketing teams to produce initiative projects based on data and machine learning models Research Limitation/Implication: Future studies could combine the feature selection method to filter the model’s features and remove redundant ones, thereby analysing the contribution of variables that truly impact customer churn. Keywords: telecommunication; customer churn; machine learning; shap framework; lightgbm

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