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All Journal Indonesian Journal of Electrical Engineering and Computer Science BUSINESS AND ENTERPREUNERSHIP JOURNAL Jurnal Manajemen dan Bisnis (JMB) Journal of Economics and Management Scienties Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK)
Yudhinanto Cahyo Nugroho
Universitas Mitra Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences

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Pengaruh Budaya Organisasi Dan Gaya Kepemimpinan Terhadap Produktivitas Kerja Pegawai Pada Dinas Perhubungan Kota Bandar Lampung Yudhinanto Cahyo Nugroho
Business and Enterpreneurship Journal (BEJ) Vol 1, No 2 (2020)
Publisher : Business and Enterpreneurship Journal (BEJ)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.745 KB)

Abstract

Beberapa faktor yang mempengaruhi produktivitas kerja seseorang yaitu budaya organisasi dan gaya kepemimpinan, Kedua variabel ini dapat mempengaruhi sebuah organisasi dalam mencapai tujuan. Variabel budaya organisasi sangat berperan dalam pencapaian tujuan organisasi, ini akan menjadi simbol, kebiasaan, pedoman bagi sebuah organisasi sehingga nantinya dalam melakukan kegiatan organisasi dapat lebih terorganisasi dengan baik. Dalam penelitian ini desain penelitian yang digunakan adalah penelitian deskriptif menggunakan metode kualitatif dan kuantitatif.
PENGARUH LINGKUNGAN KERJA TERHADAP KINERJA PEGAWAI SMKN 1 GEDONG TATAAN Nanda Pramana Putra; Aprianis Aprianis; Yudhinanto Cahyo Nugroho
Jurnal Manajemen dan Bisnis (JMB) Vol 2, No 1 (2021)
Publisher : Universitas Mitra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57084/jmb.v2i1.655

Abstract

ABSTRACTThe purpose and benefits of this study are to determine the effect of the work environment on the performance of 1 Gedong Tataan Vocational School employees and are expected to increase their knowledge and experience and broaden their insights in applying theories and contributions of useful thinking about the influence of the work environment on the performance of employees inVocational High School 1 Gedong Tataan . The research method used is based on quantitative data analysis techniques. The results showed a regression equation Y = 23,991 + 0,395 X, the equation showed that if there was an increase in work environment variables of 1 unit then the performance would increase by 0.395, while the magnitude of the effect of the work environment was known through the calculation of the coefficient of determination (r²) = 27.7% This means that employee performance is influenced by 27.7% by the work environment while the remaining 72.3% is determined by other factors. Keywords: physical work environment, non physical work environment, employee performance 
Performance Improvement Through Talent Management, Career Development and Education in Mantri of PT Bank Rakyat Indonesia (BRI) Tbk Teluk Betung Branch Fadlika Fadlika; Yudhinanto Cahyo Nugroho; Maria Septijantini Alie; Hasbullah Hasbullah; Eka Travilta Oktaria; Desi Derina Yusda
Journal of Economics and Management Scienties Volume 8 No. 3, June 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i3.219

Abstract

This study investigates the influence of talent management, career development, and education on the performance of "Mantri" officers at PT Bank Rakyat Indonesia (BRI) Tbk, Teluk Betung Branch. The research addresses a significant gap in the literature concerning field level employees within microfinance banking. Using a quantitative approach with a census of 52 Mantri officers, data were collected via structured questionnaires and analyzed using multiple linear regression. The results reveal that each independent variable talent management, career development, and education has a statistically significant and positive effect on employee performance. Talent management emerged as the most dominant predictor, followed by education and career development. The simultaneous test (F-test) confirmed the model's overall significance, with an R Square value of 0.900, indicating that 90% of the variance in employee performance is explained by the three variables. These findings suggest that integrating human resource practices can substantially enhance performance outcomes, particularly in dynamic frontline roles. This study contributes empirical evidence to support the implementation of strategic HR frameworks in regional banking and underscores the necessity for performance focused talent policies tailored to microfinance service contexts.
PENINGKATAN LITERASI DIGITAL DAN KEAMANAN SIBER BAGI PELAKU UMKM DI BANDAR LAMPUNG MELALUI PELATIHAN BERBASIS TEKNOLOGI INFORMASI budi hartanto; Yudhinanto Cahyo Nugroho; Fatimah Fahurian; Hilda Dwi Yunita
Laporan Upaya Nyata Inovasi Ilmu Komputer JPKM Lunik - Vol 04, No. 01, April 2026
Publisher : FMIPA Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/lunik.v4i01.52

Abstract

Perkembangan teknologi digital yang pesat menuntut para pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) untuk memiliki kemampuan literasi digital dan kesadaran terhadap keamanan siber yang memadai. Di Kota Bandar Lampung, sebagian besar pelaku UMKM masih menghadapi tantangan dalam pemanfaatan teknologi informasi secara aman dan produktif. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan literasi digital dan pemahaman tentang keamanan siber melalui pelatihan berbasis teknologi informasi yang interaktif dan aplikatif. Mitra dalam kegiatan ini adalah kelompok UMKM di Kecamatan Sukarame, Bandar Lampung. Pelatihan dilakukan dengan metode workshop, pendampingan, dan simulasi langsung menggunakan perangkat digital yang dimiliki peserta. Hasil kegiatan menunjukkan peningkatan signifikan dalam kemampuan peserta memahami konsep keamanan digital, pengelolaan data, dan praktik aman dalam transaksi online. Selain itu, peserta mampu mengoptimalkan penggunaan media digital untuk promosi produk secara efektif dan aman. Kegiatan ini disimpulkan berhasil meningkatkan kesadaran dan keterampilan digital pelaku UMKM sebagai langkah menuju transformasi digital yang berkelanjutan di era ekonomi digital.
Geospatial data processing and random forest-based intelligent system for regional investment readiness prediction Yudhinanto Cahyo Nugroho; Desmon Desmon; Hasbullah Hasbullah; Triyugo Winarko
Indonesian Journal of Electrical Engineering and Computer Science Vol 43, No 2: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v43.i2.pp651-661

Abstract

This paper presents an intelligent system that integrates geospatial data processing and a random forest (RF) classification model to categorize regional investment readiness (IR). Regional investment planning is often constrained by fragmented socio-economic data, unequal infrastructure distribution, and unquantified disaster risk, which reduce the accuracy of decision making. To address this problem, multidimensional data consisting of socio-economic indicators, infrastructure accessibility, and disaster risk factors were collected from a sample of 15 administrative regions in Lampung Province, Indonesia, and processed through data cleaning, normalization, and feature selection. An IR score was first computed for each region using a weighted composite formula, then discretized into readiness classes and used as the target label to train a RF classifier capable of modeling complex nonlinear relationships among the input features. Given the limited sample size, model performance was evaluated using leave-one-out cross-validation, and classification metrics—accuracy, precision, recall, and F1-score—were reported to assess predictive reliability. The results reveal spatial disparities in IR, where regions with higher human development and better infrastructure tend to exhibit greater investment potential, while areas exposed to higher disaster risk tend to show lower readiness levels. The prediction outputs are integrated into a web-based interactive dashboard that enables spatial visualization and exploration of IR patterns. Given the small and single province sample, the proposed system should be regarded as a preliminary decision-support tool for policymakers and investors to help identify priority regions, and further validation on larger, more geographically diverse datasets is recommended to strengthen generalizability.
Co-Authors Aprianis Aprianis budi hartanto Desmon Desmon Fadlika Fadlika Fatimah Fahurian Hasbullah Hasbullah Hilda Dwi Yunita Maria Septijantini Alie Oktaria, Eka Travilta Pramana Putra, Nanda Triyugo Winarko Yusda, Desi Derina