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DETERMINING FACTORS IN OPTIMIZING THE UTILIZATION OF FISH RESOURCES IN THE COASTAL AREAS OF JEMBER REGENCY R. Abdoel Djamali; Dhanang Eka Putra; Deltaningtyas Tri Cahyaningrum; Naning Retnowati; Amalia Dwi Marseva
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.4635

Abstract

The Jember Regency is directly adjacent to the Indian Ocean and boasts a coastline of about 170 km along the southern coast of East Java. The districts of Puger, Ambulu, Gumukmas, and Kencong have the most potential for marine fisheries in this area. The primary location for fishing operations, fish landings, and the distribution of marine goods is the Puger Coastal Fisheries Port (PPP). More than 80% of the total marine capture fisheries production in Jember Regency comes from lemuru (Sardinella lemuru), lisong tuna (Euthynnus affinis), and scad (Decapterus spp.). Finding the key elements for maximizing fish resources in Jember Regency's coastal regions is the aim of this study. The methodology employed is a descriptive exploratory approach with an expert system component. The analysis technique used is cognitive mapping analysis. This research concludes that: of the 17 factors identified, they can be classified as follows: (a) In order of priority, the following key factors directly and indirectly influence other factors that determine the direction of fish resource utilization: the income of fishermen, business groups, mutual cooperation and deliberation, the lack of large-scale industries processing captured fisheries products, the employment opportunities provided by fish processing SMEs in coastal areas, and landowners acting as leasing companies or loan sharks, (b) The income of fishermen, landowners acting as leasing companies or loan sharks, business groups, discussion and collaboration, the lack of large-scale industries processing captured fisheries products, fish processing SMEs as job opportunities in coastal areas, and landowners acting as leasing companies or loan sharks are the dominant factors that directly affect other factors, in order of priority.
Analisis Preferensi Konsumen PT Benih Citra Asia Terhadap Pembelian Benih Cabai Di Kabupaten Jember Indah Wahyu Wulansari; Sri Sundari; Dhanang Eka Putra
Jurnal Ilmiah Inovasi Vol 26 No 1 (2026): April
Publisher : Politeknik Negeri Jember

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Abstract

Kabupaten Jember merupakan salah satu kabupaten yang berada di Jawa Timur dan di tahun 2024 memproduksi cabai rawit 176.234 kuintal, cabai besar 35.401 kuintal dan cabai keriting 582 kuintal. Produksi cabai dapat dipengaruhi oleh berbagai faktor seperti kondisi cuaca, serangan hama, dan fluktuasi harga pasar. Di tengah beragamnya pilihan benih cabai yang ditawarkan di pasaran baik benih lokal maupun hibrida impor, petani sebagai konsumen menghadapi tantangan dalam menentukan pilihan yang paling sesuai dengan kebutuhan budidaya. Beberapa varietas benih cabai dari PT Benih Citra Asia menjadi salah satu contoh produk terbaik dari anak negeri. Preferensi konsumen sangat penting dan diperlukan pemahaman agar setiap keputusan yang diambil tidak bertentangan dengan harapan konsumen. Preferensi konsumen merupakan hal yang perlu diketahui agar produk cabai yang dihasilkan mampu memenuhi kebutuhan produksi petani dan mampu memenuhi ekspektasi konsumen. Penelitian ini dilakukan untuk menganalisis preferensi konsumen terhadap pemilihan benih cabai, guna memberikan gambaran yang lebih jelas mengenai atribut apa saja yang mempengaruhi keputusan petani dan potensi pengembangan benih yang lebih kompetitif di pasar.
Pengaruh Kualitas Pelayanan Keluhan terhadap Loyalitas Pelanggan Benih Hortikultura di PT Benih Citra Asia Jember: The Influence of Complaint Service Quality on Customer Loyalty for Horticultural Seed Products at PT Benih Citra Asia Jember Fitri Sumiarti; Rizal Rizal; Dhanang Eka Putra
Jurnal Ilmiah Inovasi Vol 26 No 1 (2026): April
Publisher : Politeknik Negeri Jember

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Abstract

Penelitian ini menganalisis pengaruh kualitas pelayanan keluhan terhadap loyalitas pelanggan benih hortikultura di PT Benih Citra Asia Jember. Peneliti melakukan kategorisasi keluhan, menilai frekuensinya, memahami konteksnya, serta melibatkan pelanggan sebagai dasar analisis. Penelitian ini menggunakan metode kuantitatif dengan teknik purposive sampling dan mengelompokkan variabel menjadi variabel independen, yaitu Responsiveness (X1), Assurance (X2), Empathy (X3), dan Reliability (X4), serta variabel dependen berupa Loyalitas Pelanggan (Y). Peneliti mengumpulkan data melalui wawancara dan kuesioner terbuka, kemudian menganalisis data menggunakan regresi linier berganda melalui SPSS 27. Hasil penelitian menunjukkan bahwa variabel Responsiveness (X1) tidak berpengaruh signifikan terhadap loyalitas karena thitung 0,679 < ttabel 1,696 dengan signifikansi 0,502 > 0,05. Variabel Empathy (X3) juga tidak berpengaruh signifikan karena thitung -1,988 < ttabel 1,696 dengan signifikansi 0,056 > 0,05. Sebaliknya, variabel Assurance (X2) berpengaruh signifikan karena thitung 4,580 > ttabel 1,696 dengan signifikansi 0,000 < 0,05, dan variabel Reliability (X4) juga berpengaruh signifikan karena thitung 2,932 > ttabel 1,696 dengan signifikansi 0,006 < 0,05. Secara simultan, keempat variabel memberikan pengaruh signifikan terhadap loyalitas pelanggan, terbukti dari nilai Fhitung 60,581 > Ftabel 2,668 dengan signifikansi 0,000 < 0,05.
Geofencing-based data-driven workforce analytics framework using causal modeling for operational efficiency in vocational agribusiness systems Dyah Kusuma Wardani; Naning Retnowati; Paramita Andini; Mohammad Edwinsyah Yanuan Putra; Dhanang Eka Putra
Journal of Advanced Sciences and Mathematics Education Vol. 6 No. 1 (2026): Journal of Advanced Sciences and Mathematics Education
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jasme.v6i1.659

Abstract

Background: Digital transformation in agribusiness increasingly adopts geospatial and IoT-based monitoring technologies, yet most applications emphasize asset tracking or simulation-based modeling rather than empirically validated workforce performance evaluation. Existing analytical studies often rely on structural influence modeling without integrating real-time labor data and causal inference methods. This gap is particularly visible in vocational agribusiness systems, where digital governance initiatives remain underexplored from a rigorous quantitative perspective. Aims: This study develops and empirically validates a geofencing-based, data-driven workforce analytics framework using causal modeling to assess operational efficiency and governance outcomes in vocational agribusiness production units. Method: A quasi-experimental stepped-wedge design was implemented across four Teaching Factory units over 12 weeks. Real-time geospatial attendance logs were integrated with production and payroll data to construct a worker-level panel dataset. Treatment effects were estimated using a Difference-in-Differences model with worker and time fixed effects. Robustness checks included parallel trend diagnostics, placebo tests, and alternative specifications. Results: Digital workforce monitoring significantly improved performance. Labor productivity increased by 13.4%, cost-to-serve decreased by 9.7%, payroll processing time declined by 41%, and lateness was reduced by 48%. The Accountability Index improved by 0.88 standard deviations. Robustness analyses confirmed the stability of these effects. Conclusion: Geofencing-based digital monitoring functions as an operational optimization mechanism rather than merely a compliance tool. The proposed framework provides scalable, data-driven evidence for improving workforce governance in labor-intensive agribusiness systems. 
Innovating Coffee Production: Integrating Anaerobic Carbonic Maceration Technology to Achieve International Standards Dyah Kusuma Wardani; Ratih Puspitorini Yekti Ambarkahi; Raden Roro Lia Chairina; Paramita Andini; Dhanang Eka Putra
Smart Society Vol. 4 No. 2 (2024): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v4i2.464

Abstract

In the coffee industry, product quality is a key factor in competing in the international market. The Teaching Factory (TEFA) at Polije faces challenges in maintaining quality consistency and meeting international standards. This study aims to implement Anaerobic Carbonic Maceration (ACM) technology in the coffee fermentation process at TEFA Polije to enhance the quality of the produced coffee. The methods used include technical training for workers on the operation and maintenance of ACM technology, the application of strict quality protocols, and the optimization of the logistics system from raw material management to product distribution. Data were collected through sensory evaluation and interviews with workers. The results indicate that the implementation of ACM technology significantly improves the coffee’s aroma and flavor profile, as well as the consistency of bean texture, aligning with international standards. The evaluation shows that 80% of workers were able to operate the technology correctly, and 75% of the products met premium standards after implementation. The conclusion of this study is that ACM technology is effective in improving the quality of TEFA Polije coffee while also creating opportunities for expansion into the international market.
Community-Based Circular Agribusiness: Market Validation, Pricing Logic, and Value-Chain Coordination for Village Livestock Waste Fertilizer in Rural Indonesia Dhanang Eka Putra; Hariyono Rakhmad; Huda Ahmad Hudori; Raden Roro Lia Chairina; Mochamad Rizal Umami
Smart Society Vol. 5 No. 2 (2025): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v5i2.815

Abstract

Village livestock waste presents both an environmental burden and an underutilized resource capable of strengthening rural livelihoods when transformed into marketable organic fertilizer. This study develops a community-based circular agribusiness model that integrates market validation, pricing analysis, and value-chain coordination to improve the commercial feasibility of waste-to-fertilizer initiatives in rural Indonesia. A convergent mixed-methods design was implemented, combining a Price Sensitivity Meter survey with Cost–Volume–Profit and Break-Even Point calculations, supported by a simplified Value Chain Analysis involving farmers, processors, kiosks, and local cooperative actors. Data were collected from 60 small-scale livestock households, 150 fertilizer users, and 12–15 key informants across Arjasa District. Findings indicate an acceptable price range of IDR 40,000–80,000 per 25-kg bag, with an optimal price point near IDR 60,000. At this level, contribution margins remain positive across direct, cooperative, and kiosk channels, with the break-even requirement estimated at 180–230 bags per month. The value-chain assessment reveals constraints related to moisture variability, inconsistent granulometry, and high last-mile distribution costs. Proposed coordination measures include minimum quality standards, scheduled collection and delivery routes, and simple offtake agreements with a 3–5% quality-based incentive. Together, these elements form a replicable empowerment-oriented model that enhances income stability, reduces waste, and supports community-driven resource governance. The study demonstrates that circular agribusiness, when anchored in market evidence and locally manageable coordination mechanisms, can contribute to socio-economic resilience and strengthen community participation in sustainable rural development
From classroom to market: The role of brand identity and local cultural values in building customer loyalty for vocational teaching factory products Ratih Puspitorini Yekti Ambarkahi; Fredy Eka Ardhi Pratama; Ponti Primastuti Aulia Nugraheni; Pascawati Savitri Universitasari; Dhanang Eka Putra
Smart Society Vol. 6 No. 1 (2026): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v6i1.1119

Abstract

Teaching Factory (TEFA) programs are designed to connect classroom-based vocational education with real market production, positioning polytechnics as hybrid institutional–commercial actors within regional innovation ecosystems. However, sustaining the commercial viability of TEFA products remains a structural challenge. This study investigates the role of brand identity and local cultural values in strengthening customer loyalty toward TEFA products at Politeknik Negeri Jember. Employing a quantitative explanatory design with path analysis on data collected from 215 respondents, the study examines both direct and mediated relationships among brand identity, perceived cultural values, and customer loyalty. The results indicate that brand identity significantly influences customer loyalty directly (β = 0.412, p < 0.01) and indirectly through local cultural values (β = 0.153, p < 0.01), with the model explaining 46.1% of the variance in loyalty. These findings suggest that culturally embedded branding enhances institutional credibility and supports the transition from educational production to sustainable market engagement. The study contributes to the understanding of how branding mechanisms operate within vocational innovation systems and regional knowledge-based economic development contexts.
Topic-Level Effectiveness of the Entrepreneur Development Class in Indonesia's Wirausaha Merdeka Program Dhanang Eka Putra; Hariyono Rakhmad; Dessy Putri Andini; Refa Firgiyanto; Huda Ahmad Hudori; Elly Antika; Mochamad Rizal Umami; Nanik Anita Mukhlisoh; Dwi Putro Sarwo Setyohadi; Risse Entikaria Rachmanita
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 4 No 4 (2026): Volume 4, Issue 4, July 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v4i4.1421

Abstract

Purpose – This study evaluates the effectiveness of the Entrepreneur Development Class (EDC), the foundational learning phase of Indonesia’s Wirausaha Merdeka program, by examining topic-level learning gains across ten instructional modules. The study responds to persistent limitations in entrepreneurship education evaluation, including the dominance of perception-based measures, the reliance on aggregate outcomes, the limited empirical evidence on Wirausaha Merdeka, and the limited use of normalized gain analysis in assessing instructional effectiveness. Design/methodology/approach – A quantitative one-group pre-test–post-test design was employed using a complete cohort of 550 students from twelve vocational higher education institutions participating in the 2024 Wirausaha Merdeka program coordinated by Politeknik Negeri Jember. Data were analyzed using descriptive statistics, the Kolmogorov–Smirnov test, paired-samples t-tests, Hake’s normalized gain (g), and Cohen’s d effect size. Findings/Results – The overall mean score increased from 70.40 to 95.25, yielding a high normalized gain (g = 0.84) and a very large effect size (d = 1.70). Business Idea Development emerged as the most effective module (g = 0.90), whereas Pondasi Bisnis Berkah produced the lowest gain (g = 0.68). The findings suggest that instructional effectiveness varies across competency domains and is influenced by both baseline knowledge and the characteristics of the learning outcomes targeted. Originality/Value – This study contributes to entrepreneurship education research by introducing a topic-level evaluation framework that combines objective knowledge assessment, normalized gain analysis, effect-size estimation, and significance testing. The approach provides a more diagnostic understanding of instructional effectiveness than aggregate program-level measures and offers practical guidance for curriculum improvement, quality assurance, and policy evaluation in large-scale vocational entrepreneurship programs.
Digital Transformation of Labor Management in Vocational Agribusiness: An ADDIE-Based Evaluation of Efficiency and Accountability in Teaching Factory Units Dyah Kusuma Wardani; Naning Retnowati; Paramita Andini; Mohammad Edwinsyah Yanuan Putra; Dhanang Eka Putra
Smart Society Vol. 6 No. 1 (2026): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsoc.v6i1.929

Abstract

Background: The growing integration of digital technologies into agribusiness has reshaped organizational practices, yet labor management in many vocational Teaching Factory (TEFA) units continues to rely on paper-based procedures. Such practices frequently lead to attendance discrepancies, delays in payroll administration, and limited supervisory control. In response to these challenges, this study developed a digital labor-management system intended to strengthen operational efficiency and accountability in vocational agribusiness settings.. Methods: Adopting a research and development approach grounded in the ADDIE framework, the study combined system development with a stepped-wedge quasi-experimental evaluation. The research was conducted over twelve weeks in four TEFA units at Politeknik Negeri Jember and involved 25 casual workers and eight supervisors. The proposed platform integrated geolocation, geofencing, real-time productivity logging, and managerial dashboards. Data were analyzed using descriptive statistics and difference-in-differences models with fixed effects, while usability and technological readiness were assessed through the System Usability Scale (SUS) and Technology Readiness Level (TRL). Findings: The implementation of the system increased labor productivity by 13.4%, reduced cost-to-serve by 9.7%, shortened payroll-processing time by 41%, and lowered worker lateness by 48%. In addition, the accountability index improved by 0.88 standard deviations, indicating substantial gains in transparency and administrative performance. Conclusion: The findings suggest that digital labor management can enhance both efficiency and accountability, providing a practical foundation for the modernization of workforce administration in vocational agribusiness. Novelty/Originality of this article: This study offers an integrated framework that combines geolocation-based technology, the ADDIE model, quasi-experimental evaluation, and standardized usability and technology-readiness assessments within the context of vocational agribusiness labor management.
Penguatan Pengelolaan Tenaga Lepas melalui Digitalisasi di UPA Pertanian Terpadu Ratih Puspitorini Yekti Ambarkahi; Dyah Kusuma Wardani; Fredy Eka Ardhi Pratama; Ponti Primastuti Aulia Nugraheni; Pascawati Savitri Universitasari; Dhanang Eka Putra
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.
Co-Authors A N, Ponti Primastuti Abdurrazak Abdurrazak Ambarkahi, Ratih Puspitorini Yekti Andini, Paramita Atri, Rahma Dian Milinia Desi Awaludin, Aan Budi Hariono Deltaningtyas Tri Cahyaningrum Deltaningtyas Tri Cahyaningrum Dessy Putri Andini Dewi Kurniawati Dhamayanthi, Wenny Djamali, Abdoel Dwi Putro Sarwo Setyohadi Dwi Putro Sarwo Setyohadi, Dwi Putro Sarwo Dyah Kusuma Wardani Dyah Kusuma Wardani Dyah Kusuma Wardani, Dyah Kusuma Eka Ardhi Pratama, Fredy Elfrida Ratnawati Elly Antika Fakhruddin Fakhruddin Fitri Sumiarti Fredy Eka Ardhi Pratama Fredy Eka Ardhi Pratama Gemaputri, Ariesia Ayuning Getta Hayyuning Mangesti Hariadi Subagja Hariyono Rakhmad Hendra Yufit Riskiawan Huda Ahmad Hudori Huda Ahmad Hudori Indah Wahyu Wulansari Irma Harlianingtyas Ismail, Andi Muhammad Khanifatul Maula Mursid Kurnianto, Mokhamad Fatoni Lenny Widjayanthi Lia Chairina, Raden Roro Lulus Mualimin Marseva, Amalia Dwi Mochamad Rizal Umami Mochamad Rizal Umami Mohammad Edwinsyah Yanuan Putra MUHAMAD, NUR Nabil Abror, Alfin Nanang Dwi Wahyono Nanik Anita Mukhlisoh Naning Retnowati Naning Retnowati Naning Retnowati Nimas Ayu Wardani Ningsih, Yuni Dwi Puspita Nurwahyuningsih Nurwahyuningsih Oktafa, Huda Pangesti, Salsabila Luki Pascawati Savitri Universitasari Pascawati Savitri Universitasari Pertami, Rindha Rentina Darah Ponti Primastuti Aulia Nugraheni Ponti Primastuti Aulia Nugraheni Pratama, Fredy Eka Ardhi Raden Roro Lia Chairina Ratih Puspitorini Y.A Ratih Puspitorini Yekti Ambarkahi Ratih Puspitorini Yekti Ambarkahi Refa Firgiyanto Retnowati, Naning Rico Devriza Anwar Ridwan Iskandar Rihan Firdaus Rinda Nurul Karimah, Rinda Nurul Risse Entikaria Rachmanita Rizal Rizal Rudi Wardana Sahari, Sindi Putri Savitri U, Pascawati Suharto, Akhmad Sundari, Sri Syamsul Arifin Tri C, Deltaningtyas