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Penguatan Literasi Digital Tenaga Lepas Harian di Teaching Factory Pertanian Terpadu Politeknik Negeri Jember: Pengabdian Ambarkahi, Ratih Puspitorini Yekti; Putra, Dhanang Eka; Wardani, Dyah Kusuma; Pratama, Fredy Eka Ardhi; A N, Ponti Primastuti; Savitri U, Pascawati
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3806

Abstract

This community service program aimed to strengthen the digital literacy of daily workers who support the operational activities of the Integrated Agriculture Teaching Factory at Politeknik Negeri Jember through staged training and on-the-job mentoring integrated with the implementation of a fingerprint attendance system and digital work reporting. A quasi-experimental one group pretest–posttest design was applied to 25 daily workers employed in four TEFA lines, namely Smart Green House, Livestock, Innovation Garden, and Chrysanthemum units. Data were collected using a digital literacy test, perception questionnaires, observation sheets, and document reviews of attendance records and work reports before and after the intervention, then analyzed descriptively and complemented with a simple difference test. The results showed an increase in attendance compliance from 78.0% to 96.2%, a decrease in average tardiness from 14.0 to 9.1 minutes per shift, and a reduction in administrative recap SLA from 6.0 to 2.5 hours. Digital literacy scores increased from 55 to 77, accompanied by higher perception scores regarding task clarity, working hours transparency, incentive recording accuracy, and system ease of use.
Cigar Waste Control Based on Statistical Process Control (SPC) for Achieving a Green and Sustainable Industry in Jember Regency Wahyono, Nanang Dwi; Kurniawati, Dewi; Harkat, Avisenna; Wardani, Dyah Kusuma; Atmajaya, Aditya Wahyu Winadi; Pratama, Fredy Eka Ardhi
International Journal of Technology, Food and Agriculture Vol. 2 No. 3 (2025): October
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/tefa.v2i3.6372

Abstract

The cigar industry in Jember Regency is recognized as one of Indonesia’s major tobacco production centers, contributing significantly to the regional economy. However, its production process generates substantial waste, including rejected leaves, stems, tobacco dust, and packaging waste, which may pose environmental challenges. This study aims to apply Statistical Process Control (SPC) to monitor and control cigar waste as part of efforts to promote circular economy practices and sustainable industry. A descriptive quantitative method was employed, with data collected through direct observation, structured interviews, and statistical analysis using X-bar, R, and I-MR control charts. Results indicate that most production processes remain within control limits, although special variations were detected in wrapper leaf quality and tobacco moisture content. Process capability analysis revealed that leaf scraps (Cpk = 1.69) met the required standards, whereas defective cigars (Cpk = 0.28) required corrective actions through workforce training and SOP standardization. The cause-and-effect (Ishikawa) diagram identified key contributing factors including manpower, machines, materials, methods, and environment. Findings highlight that implementing SPC not only reduces production costs and improves efficiency but also creates opportunities for utilizing waste into derivative products such as hand-rolled kretek cigarettes (SKT), thereby supporting green industry practices. Thus, SPC can serve as a practical and strategic model for sustainable quality control in Jember’s cigar industry.
Impact of Workforce Management Digitalization on Operational Efficiency and Accountability in Teaching Factory Units: A Quasi-Experimental Study Wardani, Dyah Kusuma; Retnowati, Naning; Andini, Paramita; Putra, Mohammad Edwinsyah Yanuan
Journal of Supply Chain and Entrepreneurship Vol. 1 No. 3 (2025): Journal of Supply Chain and Entrepreneurship
Publisher : CV. SPDFHarmony

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64268/josce.v1i3.96

Abstract

Background: Teaching Factory, TEFA, operations combine learning and real production routines, so workforce management becomes a critical control point for punctuality, documentation quality, and payroll grade reporting. Manual attendance practices commonly create slow recaps, transcription errors, and weak traceability, which can reduce efficiency and trigger disputes. Aims: This study evaluates the short run impact of fingerprint based workforce management digitalization on operational efficiency and accountability in four TEFA units within UPA Pertanian Terpadu at Politeknik Negeri Jember. Methods: A quasi experimental pretest posttest design was applied, comparing four baseline weeks before installation with eight post implementation weeks after stabilization. Four fingerprint devices were installed, synchronized via NTP, and configured for daily CSV export, with SOP governed overrides and role based access control. Indicators were computed from system logs and administrative records, including on time attendance rate, tardiness minutes, effective work hours, missing log rate, SOP override compliance, and weekly recap time. Unit level paired tests were used with two tailed alpha 0.05, complemented by descriptive distributions, reliability checks of a post period perception instrument, and qualitative triangulation. Result: Performance improved consistently after digitalization. On time attendance increased from 66.53 percent to 86.59 percent, tardiness decreased from 14.33 to 7.77 minutes, effective work hours rose from 6.44 to 7.23 hours, missing logs fell from 8.40 percent to 2.58 percent, SOP override compliance increased from 69.28 percent to 92.12 percent, and weekly recap time decreased from 92.50 to 29.46 minutes. Interview and observation evidence aligned with the quantitative pattern, indicating fewer corrections, faster start of shift routines, and more stable recaps. Conclusion: Fingerprint based workforce management digitalization produced substantial improvements in both operational efficiency and accountability in TEFA units by strengthening traceable time stamped records and reducing rework in recap workflows. The findings support institutionalization of log based monitoring and SOP governance, with future studies extending observation windows and linking workforce traceability to downstream TEFA output and quality performance.
Penguatan Pengelolaan Tenaga Lepas melalui Digitalisasi di UPA Pertanian Terpadu Ambarkahi, Ratih Puspitorini Yekti; Wardani, Dyah Kusuma; Pratama, Fredy Eka Ardhi; Nugraheni, Ponti Primastuti Aulia; Universitasari, Pascawati Savitri; Putra, Dhanang Eka
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 2 (2026): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i2.1997

Abstract

The 2025 Community Service Program was carried out at the Integrated Agriculture Academic Support Unit (UPA Pertanian Terpadu) of Politeknik Negeri Jember, which oversees four Teaching Factory (TEFA) units: TEFA Smart Green House, TEFA Livestock, TEFA Innovation Garden, and TEFA Chrysanthemum. The partner's main problem was the manual management of 25 temporary workers, which led to inefficiencies, delays in task distribution, and weak performance monitoring. The program was implemented through needs assessment and analysis; design of a simple application-based digital system; user training; intensive mentoring; and the provision of fingerprint attendance machines. The results show that the digital system and fingerprint attendance machines improved the efficiency of task distribution, accelerated recording and reporting processes, and made it easier to monitor worker performance. Digital literacy among temporary workers increased by an average of 40% based on pre–post tests, and delays in monthly production reports decreased noticeably. Worker satisfaction also increased due to clearer task allocation, transparent working hours, and more accurate incentive recording.