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All Journal Media Statistika MATEMATIKA AdMathEduSt: Jurnal Ilmiah Mahasiswa Pendidikan Matematika AKSIOMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Budimas : Jurnal Pengabdian Masyarakat NUCLEUS: Jurnal Sains dan Teknologi Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Aptekmas : Jurnal Pengabdian Kepada Masyarakat Journal of Community Service Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Limits: Journal of Mathematics and Its Applications
Purnami Widyaningsih
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In-House Refurbishing and Outsourcing Refurbishing Models with Degree of Interchangeability in Product Design Kurdhi, Nughthoh Arfawi; Vania, Kezia Abigail; Widyaningsih, Purnami; Sudibyo, Nugroho Arif
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 4 (2023): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i4.15787

Abstract

Refurbishing is the process of processing used products into products with the quality of new products. Refurbishing can be done by the manufacturer itself (in-house) or the manufacturer can delegate the refurbishing process to other manufacturers (outsourcing). This research aims to construct an in-house refurbishing model and an outsourced refurbishing model, determine the optimum solution, analysis, and application so that optimum benefits are obtained, and compare the in-house refurbishing model and the outsourced refurbishing model. Multivariable function optimization is used to get optimum profit. Judging from the optimum production results, manufacturers who carry out in-house refurbishing choose a higher degree of interchangeability and produce more new products. Products with an interchangeability design are products that can be used to replace similar products with the same function. Based on economic benefits, manufacturers who carry out in-house refurbishing get greater profits than outsourcing refurbishing. Viewed from environmental sustainability, outsourcing refurbishing is more environmentally friendly than in-house refurbishing.
HYBRID INTEGRATION OF BERT AND BILSTM MODELS FOR SENTIMENT ANALYSIS Tambunan, Nicolas Ray Amarco; Saputro, Dewi Retno Sari; Widyaningsih, Purnami
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1719-1730

Abstract

The rapid growth of sentiment analysis research has driven increasing interest in deep learning models, particularly transformer-based architectures such as BERT and recurrent neural networks like BiLSTM. While both approaches have shown substantial success in text classification tasks, each presents distinct strengths and limitations. This study aims to analyze the integration of BERT and BiLSTM models to enhance sentiment classification performance by combining contextual and sequential learning. A bibliometric analysis was conducted using VosViewer based on Scopus-indexed publications from 2020 to 2025, identifying four major thematic clusters related to transformer modeling, recurrent architectures, hybrid integration, and methodological advancements. Comparative findings from benchmark datasets, including SST-2, IMDb, and Yelp Reviews, indicate that hybrid BERT–BiLSTM models achieve superior accuracy compared to single models, reaching up to 97.67% on the IMDb dataset. However, this improvement is associated with increased computational complexity. The proposed framework reinforces the integration between BERT’s contextual embeddings and BiLSTM’s sequential modeling, offering a foundation for developing adaptive, and multilingual sentiment analysis systems. The results highlight future directions in optimizing hybrid architectures for efficiency, cross-lingual adaptability, and domain-specific sentiment understanding.
Model Susceptible Infected Treatment Recovered Susceptible dan Aplikasinya pada Data Sifilis di Indonesia Purnami Widyaningsih; Ika Amelia Cahyaningrum; Sutanto
Limits: Journal of Mathematics and Its Applications Vol. 23 No. 1 (2026): Limits: Journal of Mathematics and Its Applications Volume 23 Nomor 1 Edisi Ap
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v23i1.4446

Abstract

Infectious diseases are diseases that move from one individual to another due to bacteria, viruses, fungi, or parasites that spread directly or indirectly. Syphilis is an infectious disease caused by the bacteria Treponema pallidum. In 2018-2022, there was a 70% increase in syphilis cases in Indonesia. The purpose of this study is to formulate the SITRS model in infectious diseases, apply the model to syphilis data in Indonesia, determine the distribution pattern, identify the success of the syphilis elimination target in Indonesia in 2030. The research methods used are literature and applied studies. The SITRS model is a system of first-order nonlinear differential equations. The model was applied to syphilis data in Indonesia based on 2016-2022. Data from 2016 was used for initial values and 2017-2020 for parameter estimation to obtain the SITRS model on the spread of syphilis in Indonesia. Based on 2021-2022 data, the MAPE value obtained was 8.27% so the model is very accurate. Syphilis cases in Indonesia from 2016-2030 experienced an upward trend. In 2030, it is estimated that there will still be 155,735 syphilis sufferers so the syphilis elimination target is not to be achieved. Simulations are carried out by increasing treatment to 90% until 100% and reducing contact with syphilis sufferers to 0,05%, so that the target of syphilis elimination Indonesia in 2030 can be achieved
Co-Authors Ade Susanti Adzakie, Haabi Luckmanoor Dewi Retno Sari Saputro Dewi Retno Sari Saputro, Dewi Retno Dwi Purnama Ika Amelia Cahyaningrum Indriati, Sela Putri Ivanni, Anas Khomariah, Nurul Kusumo, Fahri Aimar Lestari, Arifah Mufidah Musta'in, Ghufron Nughthoh Arfawi Kurdhi, Nughthoh Arfawi Nugroho Arif Sudibyo Ramadhanti, Fajhria Budi Ririn Setiyowati Ririn Setyowati Saputro, Dewi Retno`Sari Setiyowati, Ririn Sulistyaningsih Sulistyaningsih Sutanto sutanto sutanto Sutanto Sutanto Sutanto Sutanto Tambunan, Nicolas Ray Amarco Vania, Kezia Abigail Warih Ariskarini Yumaroh, Siti Roqhilu