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Pelatihan Dan Pendampingan Kewirausahaan Sebagai Upaya Peningkatan Kompetensi Siswa SMKN 3 Buduran Sidoarjo Yuniati, Yuyun; Pramitha, Asti Rizkiana; Sutejo, Bambang; Fais, Moh. Ainul; Kunhadi, Dedy
JAPI (Jurnal Akses Pengabdian Indonesia) Vol 10, No 2 (2025)
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/japi.v10i2.7109

Abstract

Rendahnya kesiapan siswa SMKN 3 Buduran Sidoarjo dalam berwirausaha disebabkan oleh pembelajaran kewirausahaan yang masih bersifat teoritis dan belum kontekstual dengan jurusan produktif. Untuk mengatasi permasalahan tersebut, dilakukan program pengabdian masyarakat yang bertujuan meningkatkan kompetensi kewirausahaan siswa secara komprehensif, mencakup aspek kognitif, psikomotorik, dan afektif. Metode pelaksanaan meliputi pelatihan berbasis praktik yang terintegrasi dengan Teaching Factory dan pendekatan project-based learning selama 10 hari. Rangkaian kegiatan mencakup pembekalan teori, workshop, simulasi, pendampingan konsultatif, penguatan kelembagaan usaha sekolah, serta kolaborasi dengan perguruan tinggi dan mitra industri. Hasil evaluasi menunjukkan peningkatan signifikan kompetensi siswa, dengan nilai rata-rata pre-test meningkat dari 61,0 menjadi 95,8 pada post-test. Selain itu, kegiatan ini menghasilkan rencana usaha siswa, prototipe produk inovatif, dan terbentuknya unit kewirausahaan sekolah sebagai wadah pengembangan bisnis nyata. Program ini terbukti memberikan manfaat langsung bagi siswa, sekolah, dan mitra, serta memperkuat sistem pendidikan vokasi sebagai model pembelajaran kewirausahaan berbasis kompetensi yang efektif. Disarankan agar program serupa direplikasi di sekolah vokasi lain dengan penyesuaian karakteristik lokal.
Risk Management Analysis in Tobacco Supply Chain Using the House of Risk Method Rini Oktavera; Kurniawan, Moch. Rosi; Saraswati, Rahayu; Sutejo, Bambang
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.223 KB) | DOI: 10.35877/454RI.asci844

Abstract

Many risks affect the smooth flow of the supply chain, thereby necessitating numerous efforts to improve supply chain management by preventing and resolving these occurrences. Therefore, the purpose of this research was to determine the sources of possible and priority risks in the tobacco supply chain in Probolinggo Regency and design appropriate priority management strategies. This research investigated the flow of the tobacco supply chain and identified various possible risks using the Failure Modes and Effect Analysis (FMEA) method, which analyzes the impact or severity and chance of occurrence. A risk event was conducted in the plan and source process to determine the type of risk and identify the priority agents that can be reduced by the House of risk (HOR) approach. Subsequently, this research obtained 11 risk events and 20 agents, including 4 priorities for handling, alongside 4 coping strategies designed to address and reduce possible sources of risk in the tobacco supply chain
Benchmarking Machine Learning Models for Corporate Bankruptcy Prediction using Financial Ratios Mulyanto, Sigit; Yonia, Dwika Lovitasari; Arif, Muhammad; Sutejo, Bambang
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i2.1071

Abstract

Corporate bankruptcy prediction is a critical task in financial risk management, particularly under conditions of economic uncertainty and highly imbalanced datasets. This study presents a comprehensive benchmarking framework that evaluates multiple supervised learning models and a voting ensemble approach for corporate bankruptcy prediction. Using a publicly available dataset comprising 78,682 financial records from US-listed companies on NYSE and NASDAQ (1999-2018), we compare the performance of Random Forest, XGBoost, Gradient Boosting, Support Vector Machine, Decision Tree, and a Voting Classifier. Extensive preprocessing, including outlier removal, normalization, and feature selection, and cost-sensitive learning to mitigate severe class imbalance was conducted to ensure data quality. Model performance was assessed using multiple evaluation metrics such as accuracy, F1-score, and ROC AUC to account for class imbalance. Results demonstrate that the Voting Classifier, integrating Random Forest, XGBoost, and Gradient Boosting via hard voting, achieves superior overall performance with an accuracy of 93.6%, F1-score of 96.5%, and ROC AUC of 82.6%, outperforming individual models. The findings underscore the value of ensemble approaches in improving prediction robustness while addressing class imbalance challenges in financial distress forecasting. This study contributes a reproducible experimental design that can guide future research and practical implementation of learning models in corporate bankruptcy risk assessment.
Optimization of the Batik Creative Industry through Technological Innovation to Improve Product Quality, Quantity, and Cost Efficiency in the City of Probolinggo Augustinah, Fedianty; Tampubolon, Liosten Rianna Roosida Ully; Suyanto; Simanjuntak, Nensy Megawati; Sutejo, Bambang
Unram Journal of Community Service Vol. 6 No. 4 (2025): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1275

Abstract

The Higher Education Community Service Program for Regions (PM-UPUD) aims to optimize the batik creative industry in Probolinggo City through the application of technological innovations. Target partners include Batik Wahyulatri and Poerwa Batik, which face problems such as limited raw material planning, motif and coloring quality, drying technology, and digital marketing strategies. The implementation methods include socialization, training, technology application, mentoring, and evaluation. The technologies applied include Wastewater Treatment Plant (IPAL), infrared dry room machines, Material Requirement Planning (MRP), synthetic coloring techniques, and digital marketing. The program results showed significant improvements: 40% in production capacity, 30% in dyeing quality, 20% in sales turnover for partner 1 and 25% for partner 2, as well as 30% and 36% in profits, respectively. This program supports ASTA CITA number 3 and SDGs number 8 on decent work and sustainable economic growth.