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All Journal Trikonomika: Jurnal Ekonomi Jurnal Computech & Bisnis (e-Journal) JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) The Asian Journal of Technology Management (AJTM) International Journal of Artificial Intelligence Research Journal of Management Review Jurnal Ilmiah Universitas Batanghari Jambi JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL PETIK JURNAL TIARSIE Jurnal Tekno Insentif Symmetry: Pasundan Journal of Research in Mathematics Learning and Education Jurnal Akuntansi Bisnis dan Ekonomi (JABE) Business Innovation and Entrepreneurship Journal JE (Journal of Empowerment) Jurnal Pemerintahan dan Politik Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Journal Civics and Social Studies Media Informatika Indonesian Journal of Social Research (IJSR) Charity : Jurnal Pengabdian Masyarakat Media Jurnal Informatika JETLi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Infosecure Jurnal AbdiMU International Journal of Accounting & Finance in Asia Pasific Journal of English Teaching and Linguistics Studies Jurnal Pengabdian Tri Bhakti Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) COSMOS Jurnal Komunikasi Indonesia JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Pengabdian Kepada Masyarakat Journal of Community Dedication Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Jurnal Ekonomi dan Bisnis (Jebi) Jurnal Nasional Komputasi dan Teknologi Informasi
Erwin Yulianto
Teknik Informatika, Fakultas Teknik, Universitas Langlangbuana, Bandung, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Veterinary Other

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Loan Origination System Implementation Model and Credit Business Process Value Creation in Improving Business Performance Nasution, Harmansyah; Rahayu, Agus; Gaffar, Vanessa; Sofia, Alfira; Yulianto, Erwin
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1349

Abstract

The banking industry as a credit provider has changed substantially over the last century, namely that when a bank will lend money with collateral as collateral, the process is carried out in stages involving many bank officers. Currently, almost all operating financial institutions have been digitized, especially the credit application process. More and more customers are choosing digital loans over traditional loans because of the benefits they provide. The aim of this research was to analyze the picture of Business Performance which includes Customer Requirements, Digital Leadership, Loan Origination System Implementation and Credit Business Process Value Creation which influence it. The research method uses quantitative research with descriptive and verification research types. The research population was 64 branch offices which were the analysis units using a saturated sampling technique. The research instrument uses a questionnaire and data analysis techniques to determine the correlative relationship in this research using Partial Least Square. The research results show that Business Performance with the dominant dimension, namely Financial Performance, is influenced by Loan Origination System Implementation with the dominant dimension, namely Document Management and Credit Business Process Value Creation with the dominant dimension, namely Responsiveness. Loan Origination System Implementation and Credit Business Process Value Creation are influenced by Customer Requirements with the dominant dimension, namely Customer Expectation and Digital Leadership with the dominant dimension, namely Customer Focused.
Peran Artificial Intelligence (AI) dalam Manajemen Arsip dan Dokumen Yulianto, Erwin; Murdianto, Teguh; Al-Amin, Al-Amin
COSMOS : Jurnal Ilmu Pendidikan, Ekonomi dan Teknologi Vol 1 No 6 (2024): Oktober
Publisher : PUSDATIN Institut Agama Islam Sultan Muhammad Syafiuddin Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/cosmos.v1i5.172

Abstract

This study examines the role of Artificial Intelligence (AI) in records and document management through an in-depth literature review. It was found that AI has significant potential to enhance the efficiency and accuracy of archival data management. With AI's ability to automate indexing, classification, and data processing processes, researchers noted a considerable reduction in human errors. Additionally, AI plays a crucial role in the security and accessibility of documents by providing robust data encryption and stringent access filtering. This technology also simplifies document searches, enabling users to find information quickly and efficiently. In conclusion, integrating AI into records and document management brings significant technical and operational benefits. This literature review underscores that AI can improve the performance and reliability of information management systems. With these capabilities, AI is expected to pave the way for more effective, efficient, and secure archival management. The study provides insights that AI is not just an advanced solution but also a critical tool for the future of records and document management in various organizations.
PELATIHAN DIGITALISASI LITERASI KEUANGAN PADA PERSATUAN PEDAGANG BUKU, JASA PENGETIKAN, DAN GRAFIR INDONESIA (PEPEBUTINDO) Yulianto, Erwin; Setiawan, Awan
JE (Journal of Empowerment) Vol 2, No 1 (2021): JUNI
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v2i1.1256

Abstract

ABSTRAK Tingkat pengetahuan Literasi Keuangan pada Pelaku Usaha Mikro, Kecil, dan Menengah Kota Bandung pada umumnya dan Persatuan Pedagang Buku, Jasa Pengetikan dan Grafir Indonesia (Pepebutindo) yang menjadi mitra pengabdian kepada masyarakat masih tergolong rendah. Pihak akademisi terus mengedukasi para pelaku usaha yang bergerak di sektor UMKM. Respon positif dari pengurus dan anggota Pepebutindo pada wawancara mengenai Literasi Keuangan menunjukkan bahwa mereka siap bekerjasama dalam upaya penerapan digital mindset dan pengetahuan Literasi Keuangan. Kegiatan pengabdian menyelenggarakan tiga jenis kegiatan, yaitu penyusunan Petunjuk Teknis Digitalisasi Literasi Keuangan dan Workshop Digitalisasi Literasi Keuangan mengunakan aplikasi SI APIK. Dengan terlaksananya acara tersebut dan serah terima sebanyak lima puluh juknis SI APIK, berdampak terhadap peningkatan pengetahuan dari para pedagang yang berada di bawah naungan Pepebutindo terkait Literasi Keuangan dan Digital Mindset. ABSTRACTThe level of knowledge of Financial Literacy in Micro, Small and Medium Enterprises of Bandung in general and the Association of Book Traders, Typing and Engraving Services of Indonesia (Pepebutindo) which are partners in community service are still low. Academics continue to educate business actors engaged in the UMKM sector. The positive response from the management and Pepebutindo members in interviews about Financial Literacy shows that they are ready to work together in efforts to implement a digital mindset and knowledge of Financial Literacy. The community service activity held three types of activities, namely the preparation of Technical Guidelines for the Digitalization of Financial Literacy and a Workshop on Digitalization of Financial Literacy using the SI APIK application. With the implementation of the event and the handover of fifty SI APIK technical guidelines, it had an impact on increasing knowledge of traders under Pepebutindo regarding Financial Literacy and Digital Mindset.
Adaptation To New Habits With UNLA (Usaha Nyata Lindungi Anda) Ruhanda; Erwin Yulianto; Awan Setiawan
Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2026): Edisi: Februari-April
Publisher : Pustaka Bangsa Indonesia

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Abstract

Adaptation to New Habits during the Pandemic The Corona Virus Pandemic (Covid-19) is a major challenge in the world of education today, where the education sector is the main milestone for a country in creating a great nation. Precautions to prevent Corona Virus (Covid 19) in the world of education for all stakeholders always implement Clean and Healthy Living Behavior. The University environment is required to be able to prevent the spread of the virus and always implement Clean and Healthy Living Behavior. Therefore, Langlangbuana University implements several health protocol measures in the university environment, including the process of spraying disinfectants, the process of implementing Health protocols including Standard Operating Procedures and also coordination in responding to the Adaptation to New Habits. The implementation of these protocol measures is expected to suppress the spread of the Covid-19 virus in the campus area.
IMPLEMENTATION OF FILMORAGO IN THE VIDEO SCREENING PROGRAM "SUNGAIKU INDAH" AT KKNM CITARUM HARUM Erwin Yulianto; Siti Anah Kunyati, Irwin Supriadi
JOURNAL OF COMMUNITY DEDICATION Vol. 4 No. 3 (2025): Journal of Community Dedication
Publisher : Adiba Aisha Amira

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Abstract

Several problems with the Citarum River include damage to land in the watershed, deteriorating water quality as a result of pollution, and uncontrolled use of water space. Pollution comes from agricultural and livestock activities, as well as domestic and industrial waste. The Student Real Work Lecture (KKNM) themed Citarum Harum is a Community Service (PKM) activity carried out Cikutra Village, Cibeunying Kidul District, Bandung City as the implementation of the Tri Dharma of Higher Education. The implementation of this PKM uses descriptive methods where data collection is done using observation, interviews, and literature studies. Other methods used are discussion, outreach, and demonstration. The programs carried out include the observation of Cikutra River, the socialization of the Citarum Harum program material launched by the Environment Agency, and the making of the "Sungaiku Indah" Video Screening. Based on observations, the "Sungaiku Indah" Video Screening program which involved all village officials and the Cikutra community was able to increase awareness in maintaining Cikutra River in supporting the Citarum Harum program.
EVALUATION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATIONAL EQUALITY Loso Judijanto; Erwin Yulianto; Andri Sungkowo
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 2 No. 2 (2024): Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL)
Publisher : CV. ADIBA ASIHA AMIRA

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Abstract

In this study, an assessment of the impact of artificial intelligence (AI) on educational equality was carried out. Through the analysis of literature and related research, the aim of this research is to identify how AI can contribute to improving accessibility, personalization, and equality in education. The research methods used involve searching for articles and scientific journals related to artificial intelligence and education, as well as in-depth analysis of such findings. The results of this study show that AI has great potential in supporting personalised learning approaches, reducing gaps in access to education, and identifying and addressing biases in the education system. Careful and sustained AI evaluation is important to ensure that the implementation of this technology has a positive impact on educational equality.
TRANSFORMASI BRANDING DI ERA AI: TINJAUAN SISTEMATIS PEMBELAJARAN MESIN, NLP, DAN ANALITIK PREDIKTIF UNTUK PENINGKATAN IDENTITAS MEREK Neneng Hayati; Erwin Yulianto
Jurnal Ekonomi dan Bisnis Vol. 3 No. 9 (2026): JEBI: Jurnal Ekonomi dan Bisnis
Publisher : CV. Adiba Aisha Amira

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Abstract

The rapid development of artificial intelligence (AI) has brought fundamental changes in modern branding practices, shifting conventional approaches towards data-driven, predictive, and adaptive strategies. The use of technologies such as machine learning, natural language processing (NLP), and predictive analytics allows companies to analyze consumer behavior in depth, personalize brand communications, and optimize strategic decision-making. This study aims to conduct a systematic literature review of branding transformation in the AI era, focusing on the role of machine learning, NLP, and predictive analytics in strengthening brand identity and increasing the competitiveness of the global market. The research method used is a qualitative approach based on library research by analyzing reputable scientific articles indexed in the Scopus, Web of Science, and Google Scholar databases. The analysis was carried out using thematic content analysis to identify thematic patterns, conceptual frameworks, and key research trends in AI-based branding studies. The results of the study show that AI integration significantly increases the effectiveness of branding strategies through advanced personalization, strengthening customer engagement, and optimizing brand reputation management in real-time. Additionally, AI contributes to increased brand value and consumer loyalty in the long run. However, the study also identified various challenges, such as data privacy issues, information security, algorithmic bias, and regulatory gaps, that have the potential to impact consumer confidence. Therefore, AI-based branding transformation needs to be accompanied by ethical, transparent, and consumer-protection-oriented governance. This research is expected to make a theoretical contribution to enriching the strategic marketing literature, as well as to have practical implications for industry players in designing intelligent branding strategies that are adaptive and globally competitive.
Improving MSME Performance Through Entrepreneurial Spirit and Business Motivation Yudi Wahyudin Suwandi; Erwin Yulianto; Imas Komariah
International Journal of Accounting and Finance in Asia Pasific (IJAFAP) Vol 7, No 3 (2024): October 2024
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijafap.v7i3.3558

Abstract

A company must have business motivation and a strong entrepreneurial spirit. The aim of this research is to determine respondents' responses regarding the entrepreneurial spirit and motivation of the food processing MSME business in the city of Bandung. The method used in this research is a descriptive and verification method with a quantitative approach. Based on the results of statistical calculations, the magnitude of the path coefficient shows that entrepreneurial spirit has the greatest influence on MSME performance compared to business motivation, which shows that aspects such as self-confidence, courage to take risks, and innovation related to entrepreneurial spirit are more influential in improving performance. MSMEs are more than just business motivation. The dimension of self-confidence emerged as the most dominant aspect of entrepreneurial spirit, while originality (creativity and innovation) was ranked lowest. To improve entrepreneurial performance, individuals should focus on strengthening their originality by cultivating creativity and innovation, while continuously increasing their self-confidence. Business motivation has a positive and significant effect on the performance of MSMEs.
Implementasi Algoritma K-Nearest Neighbors Untuk Sistem Pengelolaan Waktu Tunggu Lulusan Perguruan Tinggi Erwin Yulianto; Amras Mauluddin; Ichsan Haryadi Putra; Iwan Abadi; Awan Setiawan
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 2 (2026): April, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/1dxfg865

Abstract

Abstrak – Keberhasilan lulusan dalam memperoleh pekerjaan menjadi indikator penting bagi perguruan tinggi. Universitas Langlangbuana menghadapi tantangan dalam mengelola dan menganalisis data tracer study terkait waktu tunggu lulusan dalam mendapatkan pekerjaan pertama. Metode penelitian menggunakan Forward Engineering dengan model pengembangan System Development Life Cycle (SDLC). Data yang dikumpulkan melalui tracer study diolah menggunakan algoritma KNN untuk mengklasifikasikan lulusan berdasarkan faktor-faktor seperti nama, NPM, program studi, tahun kelulusan, IPK, durasi mendapatkan pekerjaan pertama, serta preferensi mahasiswa dalam melamar pekerjaan sesuai dengan bidangnya. Hasil penelitian menunjukkan bahwa algoritma KNN mampu memberikan prediksi yang cukup akurat dalam menentukan waktu tunggu lulusan dan kecenderungan mereka dalam memilih pekerjaan sesuai dengan latar belakang pendidikan. Implementasi sistem ini diharapkan dapat meningkatkan efektivitas analisis data lulusan serta memberikan wawasan yang lebih baik bagi universitas dalam menyusun program pengembangan karier yang lebih sesuai dengan kebutuhan industri dan preferensi mahasiswa. Kata kunci : Tracer Study; Waktu Tunggu Lulusan; Forward Engineering; K-Nearest Neighbors; Prediksi;   Abstract – Graduates' success in obtaining employment is an important indicator for universities. Langlangbuana University faces challenges in managing and analyzing tracer study data related to graduates' waiting time to find their first job. The research method used Forward Engineering with the System Development Life Cycle (SDLC) development model. Data collected through the tracer study was processed using the KNN algorithm to classify graduates based on factors such as name, NPM, study program, graduation year, GPA, duration of obtaining the first job, and student preferences in applying for jobs according to their fields. The results showed that the KNN algorithm was able to provide fairly accurate predictions in determining graduates' waiting time and their tendencies in choosing jobs according to their educational background. The implementation of this system is expected to improve the effectiveness of graduate data analysis and provide better insights for universities in developing career development programs that are more in line with industry needs and student preferences. Keywords: Tracer Study; Graduate Waiting Time; Forward Engineering; K-Nearest Neighbors; Prediction;
Co-Authors Agus Rahayu Agus Supriyatna Aisyah Nuraeni Al-Amin, Al-Amin Ali Ahmadi Ali Ahmadi Amras Mauluddin Andri Sungkowo Andri Sungkowo Awan Setiawan Awan Setiawan Azhar Affandi Benie Ilman Deki Zulkarnain Dendy Eta Mirlana Fajar Nurochim Firman Ismanto Ginanjar, Arief Hamdani, Nizar Alam Hatta Zul Hery Heryanto Ichsan Haryadi Putra Iman Sudirman Iman Sudirman Imas Komariah Ina Primiana Sagir Irwin Supriadi Iwan Abadi Iwan Abadi Jaya, Firman San Khrisna Dea Pratama KM. Syarif Haryana Kusmaya Kusmaya La Ode Nafiu Lili Adi Wibowo Loso Judijanto Loso Judijanto Mai Puspadyna Bilyastuti Maulani, Galih Abdul Fatah Moh. Sidik Priadana Murdianto, Teguh Nasution, Harmansyah Neneng Hayati Neneng Hayati Neneng Hayati Nuraeni, Aisyah Permana, Irwan Triherda Ruhanda Ruhanda, Ruhanda Sany Ni'ma Fauzia Siti Anah Kunyati Siti Anah Kunyati, Irwin Supriadi Sriwati Sriwati Sriwati Sriwati Sunarso Sunarso Supriadi, Irwin Suryana, Ase Sutarman Sutarman Sutarman Sutarman Syafdinal . Trisno Setiadi Vanessa Gaffar Vera Fauziah Wita Wahyuni Subangkit Wulan Fauziah Wursan Wursan Yana Setiawan Yiyi Supendi Yudi Wahyudin Suwandi