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All Journal JAM : Jurnal Aplikasi Manajemen The Indonesian Journal of Public Administration (IJPA) Aptisi Transactions on Technopreneurship (ATT) Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Journal of Islamic Business and Management Review Startupreneur Business Digital (SABDA Journal) Jurnal Abdi Masyarakat Humanis Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi e-Jurnal Apresiasi Ekonomi International Transactions on Education Technology (ITEE) International Journal of Indonesian Business Review Blockchain Frontier Technology (BFRONT) International Journal of Educational Insights and Innovations (IJEDINS)
Sutarman, Asep
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Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Other

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PENGARUH GAYA KEPEMIMPINAN DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN Trisnawati, Ade; prasetyo, sisman; Sutarman, Asep; Habibie, Pahman
The Indonesian Journal of Public Administration (IJPA) Vol 9, No 2 (2023): THE INDONESIAN JOURNAL OF PUBLIC ADMINISTRATION (IJPA) | JULI-DESEMBER2023
Publisher : Department of Public Administration, Faculty of Social and Political Science, Universitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/ijpa.v9i2.7225

Abstract

Populasi dan sampel dalam penelitian ini adalah 98 karyawan PT. Indogear Transmisi Sistem Jakarta. Teknik sampling yang digunakan adalah random sampling. Teknik pengumpulan data adalah dengan pembagian kuesioner. Analisa data menggunakan uji validasi, uji reliabilitas, analisis statistik deskriptif, analisis regresi linier berganda, analisis koefisien determinasi, analisis koefisien korelasi, analasis koefisien korelasi berganda, uji asumsi klasik, dengan menggunakan uji normalitas, uji multikolinearitas, uji heteroskedastisitas, dan uji autokorelasi, pengujian hipotesis uji parsial (uji t), uji simultan (uji F). kesimpulan dalam penelitian bahwa secara silmutan variable Gaya Kepemimpinan dan Lingkungan Kerja berpengaruh signifikan terhadap Kinerja Karyawan. Secara parsial variabel Gaya Kepemimpinan dan Lingkungan Kerja berpengaruh positif dan signifikan terhadap Kinerja Karyawan.
HALAL TOURISM DEVELOPMENT STRATEGY IN DKI JAKARTA POST THE END OF PANDEMIC COVID 19 Sutarman, Asep
Jurnal Apresiasi Ekonomi Vol 12, No 2 (2024)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v12i2.665

Abstract

The purpose of this study is to identify a strategy for developing halal tourism, especially in the DKI Jakarta area, taking into account several factors, including local wisdom, communication patterns, tourist satisfaction and interest in visiting. This research data was obtained by distributing questionnaires to local and foreign tourists who visited halal tourism in DKI Jakarta (Taman Impian Jaya Ancol, TMII, Kota Tua and Thamrin City) after the Covid 19 pandemic. The sampling technique used was purposive and convenience sampling. (Collection of information from members of the population who agree and are willing to provide information). The data apply SEM-PLS to analyze the proposed relationship model. The results of this study are communication patterns, local wisdom and tourist satisfaction affect the interest of tourists to visit halal tourism in DKI Jakarta. Communication patterns and local wisdom have a significant positive effect on tourist satisfaction on halal tourism in DKI Jakarta. Likewise, local wisdom has a positive impact on communication patterns. Tourist satisfaction can be a good mediating variable for local wisdom and communication patterns in influencing tourist interest in visiting. Keywords: communication patterns, local wisdom, tourist satisfaction, interest in visiting
EMPLOYMENT ADJUSTMENT AND LEADERSHIP CAPABILITY DURING A PANDEMIC COVID-19 AND ITS IMPLICATIONS FOR HUMAN RESOURCE MANAGEMENT IN INDUSTRY IN JAKARTA Sutarman, Asep; Nugroho, Arif Widodo; Anjani, Frida Kusuma; Arthamevia, Azzura Kania
Jurnal Apresiasi Ekonomi Vol 11, No 3 (2023)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v11i3.664

Abstract

The performance of industrial human resources is an indicator of whether the production process of industrial workers in an industrial project is good or bad. In an effort to improve performance, work experience is needed. Work experience reflects proficiency in the knowledge and skills possessed by a workforce in a job that can be measured from the years of service and the type of work carried out by the workforce. This study aims to identify, analyze and demonstrate empirically the effect of job adjustment, leadership ability on human resource management in industry in Jakarta. This research was conducted with quantitative research methods. The population of this study are employees or employees of several industrial companies in Jakarta. Data collection techniques by observation, literature study, interviews and questionnaires. The final conclusion of this paper is that there is an effect of employment adjustment on human resource management. So, with large-scale social restrictions, with the stipulation of work from home, massive layoffs do not affect HR management policies. Furthermore, we know that there is an influence of leadership on human resource management. Where a leader has primary responsibility for the business, acting as a change maker for the organization                                                           Keywords: Employment Adjustment; Leadership Ability; Human Resource Management; Covid-19
Penguatan Kelembagaan dan Peningkatan Kapasitas Sumber Daya Manusia Pada UKM Dan Koperasi di Kabupaten Karawang Sutarman, Asep; Rito, Rito; Anjani, Frida Kusuma
Jurnal Abdi Masyarakat Humanis Vol. 5 No. 1 (2023): Jurnal Abdi Masyarakat Humanis
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/%JAMH.v5i1.34947

Abstract

Pengabdian Kepada Masyarakat dilakukan kepada Koperasi Produksi SRI RAHAYU yang memiliki  20 UKM yang berada di Desa Sampalan, Kecamatan Kutawaluya, Kabupaten Karawang, yang masing-masing memiliki kegiatan produksi yang berbeda-beda yakni: Produksi Keripik Sukun, produksi Rengginang, produksi opak ketan dan produksi keripik Ubi Unggu. Masalah yang dihadapi Koperasi dan UKM saat ini adalah kurangnya ilmu pengetahuan tentang Manajemen dan Pengelolaan bisnis secara modern, termasuk didalamnya masalah Laporan Keuangan. Metode pelaksanaan kegiatan terdiri dari tatap muka langsung melalui Pelatihan dengan Pengurus Koperasi dan Pelaku Usaha UKM, menggunakan metode pembelajaran: Ceramah, Diskusi, Interaksi dan Simulasi. Diharapkan kedepan Koperasi dan UKM dikelola secara profesional dan menjadi andalan ekonomi rakyat.
Quality Management and Work Culture on Employee Performance:Mediating Role of Work Loyalty Sutarman, Asep; Ramdani, Safier; Anjani, Frida K; Pratama, Adam A
International Journal of Islamic Business and Management Review Vol. 3 No. 1 (2023)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibmr.v3i1.592

Abstract

This study aims to determine and analyze the impact of Quality Management and Work Culture on Employee Performance mediated by the role of Work Loyalty in DKI Jakarta Regional Owned Enterprises (BUMD) in the Property Sector group. The object of research is company employees in the DKI Jakarta Regional Owned Enterprises group in the Property Sector. Respondents who were sampled in this study amounted to 250 samples. The method used in this study is quantitative, using the Structural Equation Modeling (SEM) program with the help of SmartPLS software version 3.29. Quantitative data were obtained from distributing questionnaires by measuring them using a Likert scale to respondents. The results show that work culture is the variable that has the greatest influence on employee performance. This study also found that the second biggest influence that can increase employee performance is the work culture. It is also known that quality management, works culture, and works loyalty simultaneously influence employee performance. The next finding from this study is that works loyalty is an effective mediating variable to bridge the effect of quality management and works culture on employee performance.  
Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction Lukita, Chandra; Bakti, Lalu Darmawan; Rusilowati, Umi; Sutarman, Asep; Rahardja, Untung
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.131

Abstract

This research aims to predict and analyze customer churn using Data Mining and Machine Learning methods. The background of this research is based on the importance of understanding the factors that influence customer decisions to churn, as well as improving the effectiveness of customer retention strategies in a business context. The method used in this research involves the use of a customer bank dataset that includes information about customers who left in the past month, services registered by customers, customer account information, and demographic info about customers. The factors most influential to churn were identified through heatmap analysis, including MonthlyCharges, PaperlessBilling, SeniorCitizen, PaymentMethod, MultipleLines, and PhoneService. This research compares the performance of several machine learning algorithms, including Random Forest, Logistic Regression, Adaboost, and Extreme Gradient Boosting (XGBoost), to predict customer churn. Accuracy metrics and confusion matrix results are used to evaluate the performance of these algorithms. The results showed that XGBoost proved to be the best algorithm in predicting customer churn with high accuracy. The factors that have been correctly identified do not provide missed precision, showing a significant influence on customer churn decisions. The novelty and uniqueness of this research lies in focusing on the factors that have the most influence on customer churn and comparing the performance of machine learning algorithms. This research provides more specific and relevant insights for companies in developing effective customer retention strategies. However, this research has some limitations. One of them is the use of a dataset limited to a customer bank, so the generalizability of the findings of this research may be limited to that business context. In addition, other factors that are not the focus of this research may also contribute to the prediction of customer churn.
Optimasi Kinerja Sistem Informasi Manajemen Kampus Menggunakan Teknik Data Mining: Optimizing the Performance of Campus Management Information Systems Using Data Mining Techniques Noyari, Jihan Asa; Aprillia, Ariesya; Munthe, Rusli Ginting; Sutarman, Asep; Kallas, Evelin
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 3 No 1 (2024): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v3i1.613

Abstract

Penelitian ini bertujuan mengoptimalkan kinerja Sistem Informasi Manajemen Kampus dengan menggunakan data mining untuk meningkatkan efisiensi dan kualitas pengambilan keputusan. Masalah utama yang dihadapi adalah volume data besar, kompleksitas tinggi, dan kebutuhan analisis cepat dan akurat, yang menghambat performa sistem. Penelitian ini menggunakan teknik clustering, classification, dan association rule mining untuk mengekstraksi pola dari data. Metodologi campuran diterapkan melalui wawancara, Focus Group Discussion (FGD), serta analisis data dari database. Hasil menunjukkan peningkatan kecepatan akses data 30%, pengurangan redundansi 25%, dan akurasi prediksi hingga 85%, membuktikan efektivitas data mining dalam meningkatkan kinerja sistem. Studi kasus menunjukkan peningkatan kepuasan pengguna dan efisiensi operasional, membuktikan data mining efektif untuk meningkatkan kinerja sistem. Penelitian ini berkontribusi signifikan dalam bidang manajemen informasi kampus, dan menunjukkan bahwa data mining adalah solusi efektif untuk meningkatkan kinerja Sistem Informasi Manajemen Kampus.
Understanding Purposeful Leadership in Entrepreneurial Contexts: A Bibliometric Analysis Zaharuddin, Zaharuddin; Wahyuningsih, Sri; Sutarman, Asep; Hikam, Ihsan Nuril
Aptisi Transactions On Technopreneurship (ATT) Vol 6 No 2 (2024): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v6i2.412

Abstract

Leadership styles have evolved significantly in response to dynamic business environments and global challenges. Purposeful leadership, in particular, has gained attention for its potential to address these challenges by fostering innovation and ethical decision-making. The aim of this research is to identify and visualize publications on “Purposeful Leadership” within business organizations. This study uses the Dimensions database to collect relevant publications, which are then analyzed and visualized using VOSviewer. The bibliometric analysis includes various visualizations such as country-coupled, organization-coupled, source (journal)-coupled, authors-coupled, document-coupled, and keyword co-occurrence, focusing on articles published from 2014 to 2023. The results show that the USA ranks highest in terms of country-coupled bibliographic terms, with Maharishi International University (USA) leading in organization-coupled terms. The journal with the most citations is identified, while the most frequently cited documents and prolific authors are highlighted. The keyword “leadership” is the most frequently used, while “purposeful leadership” is still emerging, indicating substantial opportunities for future research. The growing interest in purposeful leadership, particularly in the USA, highlights the need for further exploration of this concept, especially in relation to other variables in management and business contexts. The findings emphasize the importance of developing integrative techniques to mobilize collective energy to address significant global challenges like climate change and social injustice. Purposeful leadership offers a solution to these needs, focusing on the role of leaders in articulating and addressing major problems in a focused and inclusive manner. This study underscores the necessity for more comprehensive research to fully understand the impact and potential applications of purposeful leadership in various organizational settings, paving the way for enhanced organizational performance and sustainability.
A Model-Driven Approach to Developing Scalable Educational Software for Adaptive Learning Environments Sutarman, Asep; Williams, Jack; Wilson, Daniel; Ismail, Farid Bin
International Transactions on Education Technology (ITEE) Vol. 3 No. 1 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v3i1.663

Abstract

This research presents a model-driven approach to the development of scalable educational software tailored to adaptive learning environments. With the increasing demand for personalized education, adaptive learning systems play a crucial role in meeting diverse student needs by adjusting instructional content dynamically. This paper proposes a software engineering framework that integrates model-driven development (MDD) techniques with scalability principles, allowing for the efficient design and implementation of educational applications that can handle varying workloads and user demands. The framework emphasizes modular architecture, reusability, and flexibility to ensure that software can evolve with emerging educational requirements. Key components include the design of a learning content management system (LCMS) and the application of adaptive algorithms to personalize learning pathways. Additionally, this study explores the integration of cloud technologies to enhance the scalability and performance of educational platforms. A prototype system was developed and tested in a controlled environment, showing significant improvements in scalability, system performance, and student engagement compared to traditional static e-learning platforms. The results indicate that the model-driven approach not only improves software development efficiency but also offers a robust solution for creating adaptive educational systems that can scale to meet the growing needs of learners and institutions. This research contributes to the field of educational software development by providing a systematic methodology for building scalable and adaptive learning environments using advanced software engineering techniques.
The Effectiveness of Using Blockchain Technology as A Machine Learning Program Sutarman, Asep; Kallas, Evelin; Jayanagara, Oscar
Blockchain Frontier Technology Vol. 4 No. 1 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i1.576

Abstract

 Several successful papers and applications have demonstrated machine learning's limitless potential. However, when we immerse ourselves in powerful machine learning-based systems or applications, two critical research issues arise: how to ensure that the searched results of a machine learning system are not tampered with by anyone and how to prevent other users in the same network environment from easily obtaining our private data. This predicament is similar to that of other modern information systems that face security and privacy concerns. The introduction of blockchain technology presents us with an alternate method of addressing these two challenges. As a result, recent research has sought to construct machine learning systems using blockchain technology or to apply machine learning methods to blockchain systems. In this study, we provided a parallel framework to identify acceptable deep learning hyperparameters in a blockchain context using a metaheuristic algorithm to demonstrate what the combination of blockchain and machine learning is capable of. The suggested system also takes communication costs into consideration by restricting the amount of information transfers between miners and blockchain.
Co-Authors Adyatama, Rendhika Anjani, Frida K Anjani, Frida Kusuma Anjani, Sheila Aulia Aprillia, Ariesya Arthamevia, Azzura Kania Arthur Simanjuntak Chan, Levina Chen Yu Dewi Pudji Rahayu Edi Setiawan Habibie, Pahman Hikam, Ihsan Nuril Ismail, Farid Bin Jayanagara, Oscar Kadim, Abdul Kallas, Evelin Lalu Darmawan Bakti, Lalu Darmawan Lesmana, Rosa Marlena, Leni Millah, Shofiyul Muhamad Yusup Noyari, Jihan Asa Nuche, Asher Nugroho, Arif Widodo Pokkali, Krishna Chaitanya Prasetyo, Sisman Pratama, Adam A Ramahdan, fikri Arsla Ramdani, Safier Rito, Rito Ronal Aprianto Rusilowati, Umi Rusli Ginting Munthe, Rusli Ginting S., Antoni Sembiring, Rinawati Trisnawati, Ade Ul Albab, Farah Nisa Untung Rahardja Williams, Jack Wilson, Daniel Yusnita, Irma Zaharuddin Zaharuddin, Zaharuddin