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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Adimas : Jurnal Pengabdian Kepada Masyarakat JE (Journal of Empowerment) International Journal of Advances in Data and Information Systems Abdimasku : Jurnal Pengabdian Masyarakat Journal of Computing Theories and Applications Journal of Multiscale Materials Informatics Journal of Future Artificial Intelligence and Technologies
Herowati, Wise
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences

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PENGENALAN PERANGKAT LUNAK LaTeX SEBAGAI MEDIA ALTERNATIF PENULISAN BUKU AJAR BAGI GURU Herowati, Wise; Budi, Setyo; Wibawa, Tangkas Surya; Prabowo, Wahyu Aji Eko
JE (Journal of Empowerment) Vol 3, No 2 (2022): DESEMBER
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v3i2.2740

Abstract

ABSTRAK Penulisan dokumen secara digital merupakan kemampuan yang harus dimiliki di era digitalisasi sekarang ini. Secara khusus pada bidang pendidikan, tenaga pendidik wajib memiliki ketrampilan dalam penulisan teks secara digital. Beberapa tahun yang lalu, penulisan dokumen dilakukan menggunakan mesin tik. Kemudian beralih ke era digital,  diperkenalkan perangkat lunak berbasis komputer, salah satunya adalah Microsoft Word. Meskipun penggunaannya yang mudah, namun kurang dapat menampilkan visualisasi persamaan matematika dengan indah. Perangkat lunak lain yang dapat digunakan untuk membuat formulasi matematika lebih rapi dan indah adalah LaTeX. Tujuan dari kegiatan pengabdian kepada masyarakat (PKM) ini adalah untuk memperkenalkan dan memberi pelatihan pengggunaan LaTeX kepada tenaga pendidik di Yayasan Hidayatullah Gunung Pati, Kota Semarang. Metode yang digunakan pada PKM ini adalah dengan melakukan pengenalan dan pelatihan penggunaan perangkat lunak LaTeX. Luaran PKM ini adalah softskill guru meningkat sehingga menunjang proses penulisan buku ataupun media ajar yang lain sehingga kualitas SDM dan Yayasan menjadi lebih baik.ABSTRACTNowadays, the ability to document writing is important. In particular, in the field of education, educators are required to have the ability and soft skills in digital text writing. A few decades ago, writing documents was done using a typewriter. In this digital era, computer-based software was introduced, and one of the software was Microsoft Word. Even though easy to use, it is not able to visualize the mathematical formula beautifully. Another software that can produce the mathematical formula beautifully is LaTeX. The purpose of this PKM is to introduce and train on the use of latex to educators at the Hidayatullah Foundations, Gunung Pati, Semarang City. The method used in this PKM is to introduce and train the use of LaTeX software. The output of this PKM is increasing the educator’s soft skills to support the production of teaching media so that the quality of human resources becomes better. 
PENYULUHAN “THE PHYCOLOGY OF BOARD GAME” DI DHADHU BOARD GAME CAFÉ & SMAN 3 SEMARANG Budi, Setyo; Gamayanto, Indra; Zami, Farrikh Al; Wibowo, Sasono; Novianto, Sendi; Herowati, Wise; Haryanto, Hanny; Harisa, Ardiawan Bagus
ADIMAS Jurnal Pengabdian Kepada Masyarakat Vol 9 No 1 (2025): Maret 2025
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/adi.v9i1.8758

Abstract

Abstrak Board game memiliki banyak manfaat di dalam perkembangannya, hal ini akan dapat memberikan pengaruh positif dan negative terhadap para penggunanya. Tetapi, di sini kita akan berfokus pada dampak positif yang dimiliki oleh board game. Pengabdian masyarakat kali ini akan membahas mengenai bagaimana pengaruh board game terhadap dampak psikologi seseorang. Jika seseorang memainkan board game apakah akan mendapatkan benefit dan perubahan di dalam dirinya dan berdampak terhadap lingkungannya? Kita akan melakukan pembahasan dan penyuluhan di dalam pengabdian ini. Hal ini tentunya masih membutuhkan pembahasan yang lebih mendalam karena board game bersifat sangat luas dan dapat memberikan pengaruh yang cukup besar terhadap hal-hal lainnya. Hasil dari pengabdian masyarakat ini adalah para pengguna, pemain, staff dan lainnya yang sejatinya menyukai board game akan mendapat manfaat yang sebesar-besarnya, sehingga board game tidak lagi dijadikan sebagai permainan biasa, tetapi sudah menjadi permainan yang dapat digunakan sebagai pengembangan diri dan dapat memberikan dampak positif terhadap masyarakat dan diri sendiri.Kata kunci: pemberdayaan, Board game, permainan, implementasi, pengaruh, dampak
Hybrid Quantum Neural Network for Predicting Corrosion Inhibition Efficiency of Organic Molecules Herowati, Wise; Akrom, Muhamad
Journal of Multiscale Materials Informatics Vol. 2 No. 2 (2025): Oktober
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v2i2.15132

Abstract

Corrosion inhibition efficiency (IE%) prediction plays a central role in the computational discovery of high-performance organic inhibitors. Classical machine learning has shown promising results; however, its performance often deteriorates when learning non-linear interactions between quantum chemical descriptors. Meanwhile, quantum machine learning (QML) provides enhanced expressivity through quantum feature mapping but remains limited by NISQ-era hardware. In this study, we propose a Hybrid Quantum Neural Network (HQNN) integrating classical dense layers with variational quantum circuits (VQC) to predict the inhibition efficiency of organic corrosion inhibitors. Using a curated dataset of 660 molecules with DFT descriptors, the HQNN achieves an RMSE of 3.41 and R² of 0.958, outperforming classical regressors and pure VQC. The results demonstrate that hybrid quantum models offer a balanced trade-off between quantum advantage and practical feasibility in materials informatics.
Enhancing Aspect-Based Sentiment Analysis via Hugging Face Fine-Tuned IndoBERT Aprilah, Thania; Setiadi, De Rosal Ignatius Moses; Herowati, Wise
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11409

Abstract

Aspect-Based Sentiment Analysis (ABSA) on hotel reviews faces significant challenges regarding semantic complexity and severe class imbalance, particularly in low-resource languages like Indonesian. This study evaluates the effectiveness of fine-tuning IndoBERT, a pre-trained Transformer model, to address these issues by benchmarking it against classical statistical methods (TF-IDF) and static embeddings (Sentence-BERT). Utilizing the HoASA dataset, the experiment implements a Random Oversampling strategy at the text level to mitigate data sparsity in minority classes. Empirical results demonstrate that the fine-tuned IndoBERT significantly outperforms baselines on the majority of aspects, achieving a global accuracy of 97% and macro F1-score of 0.92. Granular per-aspect analysis reveals that the model’s self-attention mechanism captures linguistic context robustly in tangible aspects (e.g., wifi, service), yet faces persistent challenges in highly ambiguous aspects such as smell (bau) and general. Statistical significance tests (Paired t-test and Wilcoxon) confirm that the performance gains over baselines are statistically significant (p < 0.05) and not due to random chance. The study concludes that leveraging contextual representations from IndoBERT, combined with data balancing strategies, offers a superior and statistically robust solution for handling linguistic variations and class bias in the Indonesian hospitality domain.
Indobert-Based Sentiment Analysis of Political Discourse on Platform X: The Case Of Prabowo-Gibran Administration Sidauruk, Vanesa Estetika; Herowati, Wise
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11586

Abstract

The 2024 Indonesian presidential election inaugurated the Prabowo Subianto–Gibran Rakabuming Raka administration, whose early performance has been widely discussed on digital social networks, particularly X (Twitter). This study evaluates public sentiment toward the administration's performance up to June 30, 2025 using an IndoBERT-based text classification approach. A total of 2,612 public posts were collected via web scraping and processed through text preprocessing steps (noise removal, slang correction, normalization, and lemmatization). The data were labeled into three sentiment classes (positive, neutral, and negative) and split into training, validation, and test sets (2,092 / 418 / 105). The fine-tuned IndoBERT model achieved an overall test accuracy of 0.78, with the highest F1-score on the negative class (0.82), followed by neutral (0.76) and positive (0.75). The confusion matrix indicates that neutral posts are more frequently confused with positive posts, suggesting that neutral sentiment remains harder to separate in politically nuanced and noisy social-media text. This study also compares IndoBERT with a traditional baseline (TF-IDF + SVM using polynomial kernel). Results show that IndoBERT (78% accuracy) significantly outperforms SVM (72.19%), particularly in detecting negative sentiment (F1: 0.82 vs 0.72), demonstrating superior contextual understanding of politically nuanced text. This work also highlights methodological and ethical considerations for political opinion mining, including representativeness limits of X users and privacy-preserving handling of public posts. Future work should expand the dataset, address class imbalance, and explore additional transformer-based architectures to strengthen generalizability and benchmarking.
Co-Authors Achmad Wahid Kurniawan Akrom, Muhamad Aprilah, Thania Ayu Pertiwi Budi, Setyo De Rosal Ignatius Moses Setiadi Dutta, Pushan Kumar Hanny Haryanto Harisa, Ardiawan Bagus Harun Al Azies Hidayat, Novianto Nur Ignatius Moses Setiadi, De Rosal Indra Gamayanto Islam, Hussain Md Mehedul Kusuma, Muh Galuh Surya Putra Minh T. Nguyen, Minh T. Moch Anjas Aprihartha Muhamad Fadil Muljono Muljono Prabowo, Wahyu Aji Eko Prajanto Wahyu Adi, Prajanto Wahyu Safitri, Aprilyani Nur Sasono Wibowo Sendi Novianto Sidauruk, Vanesa Estetika Supriadi Rustad T. Sutojo Trisnapradika, Gustina Alfa Wibawa, Tangkas Surya Zami, Farrikh Al