Implementasi Aplikasi Digital Terintegrasi untuk Pendataan Mobil CPO dalam Meningkatkan Efisiensi Operasional

Authors

  • Gellysa Urva Institut Teknologi dan Bisnis Riau Pesisir
  • Welly Desriyati Institut Teknologi dan Bisnis Riau Pesisir
  • Khairul Azmi Institut Teknologi dan Bisnis Riau Pesisir
  • Julanos Institut Teknologi dan Bisnis Riau Pesisir
  • Halimatusadiyah Institut Teknologi dan Bisnis Riau Pesisir

DOI:

https://doi.org/10.58794/jdt.v6i2.2095

Keywords:

Aplikasi Digital, Pendataan Mobil, CPO, Efektivitas Kerja

Abstract

Kegiatan pendataan mobil pengangkut Crude Palm Oil (CPO) di PT. Inti Benua Perkasatama Dumai masih dilakukan secara manual, sehingga berpotensi menimbulkan kesalahan pencatatan, keterlambatan pengolahan data, serta kurang optimalnya pengawasan operasional. Permasalahan ini berdampak pada menurunnya efektivitas kerja dan efisiensi proses administrasi. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk memanfaatkan teknologi aplikasi dalam mendukung proses pendataan mobil CPO agar lebih terstruktur, akurat, dan mudah diakses. Metode yang digunakan meliputi identifikasi kebutuhan mitra, perancangan dan pengembangan aplikasi pendataan, implementasi sistem, serta pelatihan penggunaan aplikasi kepada karyawan. Aplikasi yang dikembangkan mampu mencatat data kendaraan, waktu masuk dan keluar, serta informasi terkait lainnya secara digital dan terintegrasi. Hasil kegiatan menunjukkan bahwa penerapan aplikasi pendataan ini mampu meningkatkan kecepatan dan akurasi pencatatan data, mempermudah proses monitoring, serta mengurangi risiko kesalahan akibat pencatatan manual. Selain itu, mitra juga menunjukkan respon positif terhadap penggunaan sistem yang lebih praktis dan efisien. Dengan demikian, pemanfaatan teknologi aplikasi ini dapat menjadi solusi dalam meningkatkan efektivitas kerja operasional pada proses pendataan mobil CPO di PT. Inti Benua Perkasatama Dumai.

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References

[1] J. Dipple, B. Serre, J. Adamowski, and G. M. Hickey, “Inciting action through Information Communication Technology ( ICT ): Insights from water data practitioners in the Great Lakes Basin,” J. Great Lakes Res., vol. 52, no. 2, p. 102755, 2026, doi: 10.1016/j.jglr.2026.102755.

[2] T. Training, U. Terbuka, and T. Selatan, “DIGITAL SKILLS AND TECHNOLOGY USE IN EDUCATIONAL RESEARCH FOR TEACHER TRAINING IN,” no. January, pp. 240–256, 2026.

[3] N. Leggett et al., “Digital health literacy of ICU survivors : A prospective cohort study,” J. Crit. Care, vol. 91, no. October 2025, p. 155277, 2026, doi: 10.1016/j.jcrc.2025.155277.

[4] A. Graham, H. Minna, S. Pramila-savukoski, M. Flinkkil, M. Tomietto, and K. Mikkonen, “Nurse Education Today The use of digital gamification , extended reality , artificial intelligence , and integrated digital learning tools in palliative care education of undergraduate nurses : A systematic review,” vol. 160, no. January, 2026, doi: 10.1016/j.nedt.2026.106982.

[5] L. Judijanto, “Oil Palm Ripening Detection Technologies : A Review of Contemporary AI Techniques and Multi-Criteria Effectiveness Evaluation Frameworks,” pp. 155–171, 2026, doi: 10.59324/jaitd.2026.2(2).12.

[6] S. Ulum and S. Nursyamsiah, “Challenges and Strategies in Crude Palm Oil Quality Control : A Practical Approach from an Indonesian Palm Oil Mill,” vol. 14, no. 1, pp. 239–250, 2026.

[7] Y. Sirait and T. F. Mahfirah, “Analisis Efektivitas Komunikasi Kerja Melalui WhatsApp Divisi Crude Palm Oil di PT Miduk Arta,” vol. 3, no. 2, pp. 1–9, 2026.

[8] G. Sarsenova, “Evaluation of the e ffi ciency of air-cushion conveyor modernization through digital monitoring and modeling,” Open Eng., vol. 16, no. 1, pp. 1–18, 2026, doi: 10.1515/eng-2025-0146.

[9] J. H. Sinaulan, “COMPETITIVENESS OF PALM OIL PRODUCTS : A LITERATURE REVIEW ON THE,” vol. 2, no. 11, pp. 3206–3217, 2026.

[10] M. M. Alam et al., “Integrated Trajectory , Association , and Fair Resource Allocation for AoI and Energy-Aware Data Collection in Air − Ground Collaborative Networks,” IEEE Open J. Commun. Soc., vol. 7, no. January, pp. 685–700, 2026, doi: 10.1109/OJCOMS.2026.3654675.

[11] “Standardized Reporting in Heart Failure,” vol. D, 2026, doi: 10.1016/j.jchf.2025.102849.

[12] S. N. Kiwanuka et al., “Barriers and facilitators of the effective use of DHIS2 data to improve program planning and monitoring in Uganda : a sequential mixed methods study,” vol. 2, no. January, 2026.

[13] B. R. Chang and H. Tsai, “Outlook for the Development of the Chip and Artificial Intelligence Industries — Application Perspective,” pp. 1–25, 2026.

[14] M. Febrianza and A. Sanmorino, “A Data Processing Information System for Oil Palm Harvest Results,” vol. 2272, pp. 17–21, 2026.

[15] S. Kumar et al., “OPEN A hybrid SMOTE and Gaussian mixture model based optimized XGBoost framework for bipolar disorder detection,” 2026.

[16] J. Tian, “Digital Transformation and Effect Evaluation of Music Education Driven by Internet of Things Technology,” vol. 35, no. 2, pp. 1–22, 2026, doi: 10.1142/S0129156425405704.

[17] S. Gupta and A. Jamwal, “Enabling supply chain viability through digital transformation : Analysis of barriers in Industry 4 . 0 context,” J. Digit. Econ., vol. 5, no. January, pp. 31–48, 2026, doi: 10.1016/j.jdec.2026.01.001.

[18] C. Onyewuchi, “Awareness, Accessibility and Utilization of Digital Assistive Technologies in the 21st Century Pedagogy of the Hearing Impaired Students in Federal College of Education (Special) Oyo Osuji, Christopher Onyewuchi,” vol. 0141, no. 4, pp. 1–13, 2025.

[19] J. B. Halik, “Strategic Distribution , Digital Marketing , and Open Innovation : Toward Integrated Capability Development for SME Performance $,” vol. 27, no. 4, 2026.

[20] A. Sergeant, G. Luigi-bravo, G. Tam, and R. Gill, “Safeguarding in FemTech_ Protecting users of digital abortion tools in restrictive contexts,” Contraception, vol. 157, p. 111397, 2026, doi: 10.1016/j.contraception.2026.111397.

[21] M. Hulaikah and M. Bakhtiar, “Design of seamless learning model to improving digital literacy skill in higher education,” vol. 34, no. 1, pp. 625–634, 2026.

[22] E. Science, “The utilization of augmented reality as tourism education digital-based to mitigate paper use The utilization of augmented reality as education digital-based to mitigate paper use”, doi: 10.1088/1755-1315/1580/1/012019.

[23] A. Hesse and R. Schmelzer, “The Backbone of Digital Twins : Comprehensive Data Management Requirements,” vol. 5, pp. 4129–4138, 2026.

[24] M. Madera, A. Bennett, K. Bertash, and E. P. Cahill, “Society of Family Planning Research Practice Support_ Digital and data security for abortion research in a post-Dobbs era—A primer for qualitative researchers,” Contraception, vol. 153, p. 111208, 2026, doi: 10.1016/j.contraception.2025.111208.

[25] L. Cox and T. Piatkowski, “Performance Enhancement & Health Eat clen ? The normalisation of harmful clenbuterol use within digital fitness cultures,” Perform. Enhanc. Heal., vol. 14, no. 1, p. 100391, 2026, doi: 10.1016/j.peh.2025.100391.

[26] E. Internet, “Understanding the Autonomous Electric Vehicle Cyber Threat Landscape : A Focus on Infrastructure , Threats and,” pp. 1–13, 2026, doi: 10.1049/ein2.70022.

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Published

2026-07-30

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