Integrating IndoBERT-Based Sentiment Analysis and PSI-TOPSIS Into a Decision Support System for Convection Production Prioritization

Authors

  • Vitra Surya Ningrum Muria Kudus University, Indonesia
  • Anteng Widodo Muria Kudus University, Indonesia
  • Noor Latifah Muria Kudus University, Indonesia
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DOI:

https://doi.org/10.63158/journalisi.v8i4.1809

Keywords:

Sentiment Analysis; IndoBERT; Preference Selection Index; TOPSIS; Production Priority.

Abstract

Determining production priorities in the convection industry remains challenging due to the diversity of product alternatives and the complexity of operational and customer-related factors. This study develops a Decision Support System (DSS) by integrating IndoBERT-based customer sentiment analysis with Multi-Criteria Decision Making (MCDM) approaches to identify optimal production priorities at Kenisya Gallery. A total of 371 Shopee customer reviews were analyzed using IndoBERT to extract customer sentiment information, which was then integrated with eight operational criteria. The Preference Selection Index (PSI) method was applied to determine the importance weights of each criterion, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank 28 product alternatives. The results indicate that 84.4% of customer reviews expressed positive sentiment. Among the evaluation criteria, raw material availability (C8) achieved the highest PSI weight of 25.06%. The PSI-TOPSIS approach identified the Azella Black Series as the highest-priority product for production, achieving a closeness coefficient (Ci) value of 0.8730. This research demonstrates the effectiveness of combining customer sentiment analysis and MCDM techniques to support data-driven production planning. Nevertheless, this study is limited to a single case study and does not yet incorporate expert validation or evaluation of actual production performance.

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References

[1] M. Nuryanti and Suparjiman, “Analisis Manajemen Risiko pada UMKM Konveksi , Rancaekek , Kabupaten Bandung,” PENG J. Ekon. dan Manaj., vol. 2, no. 1, pp. 1654–1667, 2025, doi: 10.62710/3bgkez50.

[2] D. Nafisah, S. A. Wulandari, D. N. Mutmainah, and C. S. S, “Penerapan Metode FMEA Dan AHP Dalam Penentuan Prioritas Mitigasi Risiko Produksi Puding Buah Pada Umkm Salad Buah Rahma ( SBR ),” J. Ilm. Penelit. Mhs., vol. 4, no. 4, pp. 551–566, 2026, doi: 10.61722/jipm.v4i4.2753.

[3] N. Surya and A. Nisa, “Analisis Pengambilan Keputusan Manajerial dalam Meningkatkan Kualitas Produk Analysis of Managerial Decision Making in Improving Product Quality,” Perad. J. Pengabdi. Masy., vol. 1, no. 1, pp. 21–32, 2025, doi: 10.66955/pjpm.v1i1.62.

[4] A. B. Efendi, B. Santoso, and P. Winahyu, “Pengaruh Kualitas Produk, Ketersediaan Produk dan Saluran Distribusi terhadap Keputusan Pembelian Telur pada UD Edy Horn,” JIMMA J. Ilm. Manaj. Muhammadiyah Aceh, vol. 15, no. 2, pp. 195–208, 2025, doi: 10.37598/jimma.v15i2.31.

[5] F. Lestari and Ruztandi, “Penerapan Metode Economic Order Quantity dan Just in Time Guna Meningkatkan Optimasi Pengendalian Persediaan Produk (Studi Kasus Pada UMKM Mochi Ahmad Yani),” J. Bisnisman Ris. Bisnis dan Manaj., vol. 5, no. 3, pp. 35–56, 2024, doi: 10.52005/bisnisman.v5i03.190.

[6] M. I. Fatoni, S. Aisah, and M. A. Ramadhani, “Analisis Pengaruh Strategi Pemasaran Digital terhadap Persepsi Pelanggan dan Loyalitas Di E-Commerce,” J. Econ. Manag. Bus. Entrep., vol. 2, no. 1, pp. 25–31, 2024, doi: 10.31537/jembe.v2i1.2243.

[7] A. A. Putri, L. R. Aisyi, P. D. Permatasari, and T. Iskandar, “Analisis Perilaku Mahasiswi Sebagai Konsumen Muslim Terhadap Daya Beli Produk Online Di E-Commerce Shopee,” ESENSI J. Manaj. Bisnis, vol. 27, no. 2, pp. 8–24, 2024, doi: 10.56943/esensi.v27i2.33.

[8] A. S. Rizkia, Wufron, and F. F. Roji, “Sentiment Analysis of Coretax : A Comparison of Manual , Transformers- Based , and Lexicon-Based Data Labeling on IndoBERT Performance Analisis Sentimen Coretax : Perbandingan Pelabelan Data Manual ,” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 5, no. 3, pp. 1037–1048, 2025, doi: 10.57152/malcom.v5i3.2151.

[9] C. J. L. Tobing, I. G. N. L. Wijayakusuma, and L. P. Ida, “Perbandingan Kinerja IndoBERT dan MBERT untuk Deteksi Berita Hoaks Politik dalam Bahasa Indonesia,” J. Sains dan Teknol., vol. 14, no. 1, pp. 114–123, 2025, doi: 10.23887/jstundiksha.v14i1.92126 Perbandingan.

[10] M. R. Amalsyah, D. Kurniawan, A. Rifai, and P. Sari, “Analisis Sentimen Ulasan Pengguna Aplikasi Fintech menggunakan Framework CRISP - DM dalam Penentuan Prioritas Pengembangan Produk Sentiment Analysis of Fintech Application User Reviews Using the CRISP-DM Framework for Product Development Prioritization,” Sist. J. Sist. Inf., vol. 14, no. 2, pp. 813–825, 2025, doi: 10.32520/stmsi.v14i2.5064.

[11] I. G. I. Sudipa et al., Multi Criteria Decision Making : Teori & Penerapan Metode Pengambilan Keputusan dengan MCDM. PT. Sonpedia Publishing Indonesia, 2023.

[12] S. Sepriano et al., Multi Criteria Decision Making:: Teori dan Praktik. PT. Sonpedia Publishing Indonesia, 2025.

[13] H. Bunga and W. Wahyudi, “Design of an Environmentally Friendly Supplier Selection DSS Model using AHP-TOPSIS,” J. Ilm. Sist. Inf. VOL, vol. 4, no. 1, pp. 86–99, 2025, doi: 10.51903/b8wpb307.

[14] Y. Dwi, P. Ariyanti, and D. Kamalia, “A Comparative Analysis of the CRITIC and Entropy Methods for Objective Weighting of Priority Criteria,” J. Masy. Inform., vol. 16, no. 2, pp. 148–161, 2025, doi: 10.14710/jmasif.16.2.73143.

[15] F. Salamah et al., “Metode Aspect-Based Sentiment Analysis ( Absa ) Pada Ulasan Songket Di Google Maps Menggunakan IndoBERT,” JATI (Jurnal Mhs. Tek. Inform., vol. 10, no. 1, pp. 66–74, 2026, doi: 10.36040/jati.v10i1.16618.

[16] R. L. Mustofa and C. E. Widodo, “Analisis Sentimen Berbasis Aspek Pada Aplikasi Elektronik Survei Kepuasan Masyarakat (E-Skm) Jawa Tengah Menggunakan Aspect-Based Sentiment,” J. Teknol. Inf. dan Ilmu Komput., vol. 12, no. 4, pp. 867–874, 2025, doi: 10.25126/jtiik.124.

[17] A. N. Hakim and D. Setiawan, “Analisis Multi-Criteria Decision Making ( MCDM ) pada Pengambilan Keputusan Pemilihan Vendor dengan Metode Analytical Hierarchy Process ( AHP ),” QOMARUNA J. Multidiscip. Stud., vol. 02, no. 02, pp. 10–21, 2025, doi: 10.62048/qjms.v2i2 .89.

[18] Ferdiansyah and R. R. Suryono, “Sentiment Classification of Indonesian-Language Roblox Reviews Using IndoBERT with SMOTE Optimization,” J. Appl. Informatics Comput., vol. 9, no. 4, pp. 1868–1877, 2025, doi: 10.30871/jaic.v9i4.10155.

[19] S. H. Hadad, “Analisis Prioritas Pemberian Cuti Karyawan Menggunakan Metode Pembobotan Entropy dan Simple Multi Attribute Rating Technique,” J. Artif. Intell. Technol. Inf., vol. 2, no. 2, pp. 106–117, 2024, doi: 10.58602/jaiti.v2i2.126.

[20] A. Mohib, I. Yuadi, I. Puspitasari, and Y. D. Patriani, “Lung X-ray Image Classification for Distinguishing Tuberculosis and Pneumonia Using Pretrained CNN Feature Extractors and Supervised Classifiers,” J. Inf. Syst. Informatics, vol. 8, no. 3, pp. 3233–3251, 2026, doi: 10.63158/journalisi.v8i3.1595.

[21] M. F. Firdaus, D. E. Ratnawati, and N. Y. Setiawan, “Analisis Sentimen Berbasis Aspek Pada Ulasan Pelanggan Restoran Menggunakan Algoritma Support Vector Machine (Studi Kasus: Depot Bamara),” J. Teknol. Inf. dan Ilmu Komput., vol. 11, no. 6, pp. 1265–1272, 2024, doi: 10.25126/jtiik.2024117564.

[22] D. Ilham, N. E. Putri, N. Patricia, and N. F. Nst, “Penerapan Metode TOPSIS untuk Memilih Laptop Terbaik Sesuai Kebutuhan Konsumen,” J. Manuf. Enterp. Inf. Syst., vol. 3, no. 1, pp. 32–40, 2025, doi: 10.52330/jmeis.v3i1.415.

[23] D. J. Rahmadi and S. Jaya, “IndoBERT vs SVM : Sentiment Analysis of Audience Comments on the Film Photocopier IndoBERT vs SVM : Analisis Sentimen Komentar Penonton Film Penyalin Cahaya,” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 6, no. July, pp. 1479–1489, 2026, doi: 10.57152/malcom.v6i3.2784.

[24] S. T. M. Yessy Asri and M. K. Dr. Dra. Dwina Kuswardani, MACHINE LEARNING & DEEP LEARNING: Analisis Sentimen Menggunakan Ulasan Pengguna Aplikasi. Uwais Inspirasi indonesia, 2024.

[25] A. Purnamawati, M. N. Winarto, D. Uki, and E. Saputri, “Sistem Pendukung Keputusan Penentuan Produk Terbaik Menggunakan Metode Preference Selection Index,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 1, no. 3, pp. 56–67, 2023, doi: 10.58602/chain.v1i2.27.

[26] A. Kautsar, Wahyuddin, Darpi, and S. Nurhayati, “Komparasi Metode Simple Additive Weighting , Weight Product,” J. Sist. Inf. danTeknologi Inf. Vol, vol. 7, no. 3, pp. 788–797, 2025, 10.52005/jursistekni.v7i3.499.

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Published

2026-08-22

Issue

Vol. 8 No. 4 (2026): August

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