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Investigation of Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds through Machine Learning Herowati, Wise; Akrom, Muhamad; Hidayat, Novianto Nur; Sutojo, Totok
Journal of Multiscale Materials Informatics Vol. 1 No. 1 (2024): April
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v1i1.10448

Corrosion in materials is a significant concern for the industrial and academic fields because corrosion causes enormous losses in various fields such as the economy, environment, society, industry, security, safety, and others. Currently, material damage control using organic compounds has become a popular field of study. Pyridine and quinoline stand out as corrosion inhibitors among a myriad of organic compounds because they are non-toxic, inexpensive, and effective in a variety of corrosive environments. Experimental investigations in developing various candidate potential inhibitor compounds are time and resource-intensive. In this work, we use a quantitative structure-property relationship (QSPR)-based machine learning (ML) approach to investigate support vector machine (SVR), random forest (RF), and k-nearest neighbors (KNN) algorithms as predictive models of inhibition performance. (Inhibition efficiency) corrosion of pyridine-quinoline derivative compounds as corrosion inhibitors on iron. We found that the RF model showed the best predictive ability based on the coefficient of determination (R2) and root mean squared error (RMSE) metrics. Overall, our study provides new insights regarding the ML model in predicting corrosion inhibition on iron surfaces.

Analyzing Preprocessing Impact on Machine Learning Classifiers for Cryotherapy and Immunotherapy Dataset Setiadi, De Rosal Ignatius Moses; Islam, Hussain Md Mehedul; Trisnapradika, Gustina Alfa; Herowati, Wise
Journal of Future Artificial Intelligence and Technologies Vol. 1 No. 1 (2024): June 2024
Publisher : Future Techno Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/faith.2024-2

In the clinical treatment of skin diseases and cancer, cryotherapy and immunotherapy offer effective and minimally invasive alternatives. However, the complexity of patient response demands more sophisticated analytical strategies for accurate outcome prediction. This research focuses on analyzing the effect of preprocessing in various machine learning models on the prediction performance of cryotherapy and immunotherapy. The preprocessing techniques analyzed are advanced feature engineering and Synthetic Minority Over-sampling Technique (SMOTE) and Tomek links as resampling techniques and their combination. Various classifiers, including support vector machine (SVM), Naive Bayes (NB), Decision Tree (DT), Random Forest (RF), XGBoost, and Bidirectional Gated Recurrent Unit (BiGRU), were tested. The findings of this study show that preprocessing methods can significantly improve model performance, especially in the XGBoost model. Random Forest also gets the same results as XGBoost, but it can also work better without significant preprocessing. The best results were 0.8889, 0.8889, 0.6000, 0.9037, and 0.8790, respectively, for accuracy, recall, specificity, precision, and f1 on the Immunotherapy dataset, while on the Cryotherapy dataset, respectively, they were 0.8889, 0.8889, 0.6000, 0.9037, and 0.8790. This study confirms the potential of customized preprocessing and machine learning models to provide deep insights into treatment dynamics, ultimately improving the quality of diagnosis.

Utilization of Machine Learning for Predicting Corrosion Inhibition by Quinoxaline Compounds Fadil, Muhamad; Akrom, Muhamad; Herowati, Wise
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8894

Corrosion is a significant issue in both industrial and academic sectors, with widespread negative impacts on various aspects, including economics and safety. To address this problem, the use of corrosion inhibitors has proven effective. This study explores the application of Machine Learning (ML) methods based on Quantitative Structure-Properties Relationship (QSPR) to develop a predictive model for the efficiency of quinoxaline compounds as corrosion inhibitors. By conducting a comparative analysis among three algorithms: AdaBoost Regressor (ADB), Gradient Boosting Regressor (GBR), and Extreme Gradient Boosting Regressor (XGBR), and optimizing parameters through hyperparameter tuning using Grid Search and Random Search, this research demonstrates that the XGBR model yields the most superior prediction results. The XGBR optimized with hyperparameter tuning using Grid Search achieved the highest RÂ² value of 0.970 and showed the lowest RMSE, MSE, MAD, and MAPE values of 0.368, 0.135, 0.119, and 0.273, respectively, indicating high predictive accuracy. These results are expected to contribute to the development of more effective methods for identifying corrosion inhibitor candidates.

Pemanfaatan Google Site dalam Pelatihan Pembuatan Website Sebagai Kegiatan Penunjang Edukasi Life Skills Pelajar SMA N 2 Mranggen Kabupaten Demak Herowati, Wise; Kurniawan, Achmad Wahid; Budi, Setyo; Muljono, Muljono; Rustad, Supriadi; Ignatius Moses Setiadi, De Rosal; Sutojo, T.; Trisnapradika, Gustina Alfa; Aprihartha, Moch Anjas
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 1 (2025): JANUARI 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i1.2840

Menghadapi persaingan kemampuan dan keterampilan terutama untuk generasi sekarang harusnya dihadapi dengan mempersiapkan pengetahuan yang mumpuni terutama kemampuan-kemampuan untuk menunjang life skills . Kemampuan tersebut perlu diperkuat sedari diri terutama pada jenjang pendidikan menengah atas atau jenjang SMA. Salah satu kemampuan yang dapat diasah pada jenjang pendidikan tersebut adalah pengetahuan dan kemampuan mengenai pembuatan sebuah website. Menciptakan sebuah website sering kali dianggap sulit dan membutuhkan kemampuan pemrograman khusus, hal ini menjadi tantangan tersendiri salah satunya bagi salah satu sekolah yakni SMA N 2 Mranggen Demak. Sebagai salah satu cara menyelesaikan tantangan tersebut, kegiatan PKM yang telah terlaksana ini memperkenalkan konsep dasar pembuatan website menggunakan Google Site. Diharapkan melalui kegiatan pelatihan tersebut para pelajar dapat memiliki keterampilan tambahan untuk menambah kemampuan guna menunjang life skills mereka

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

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

Machine Learning and Density Functional Theory Investigation of Corrosion Inhibition Capability of Ionic Liquid Safitri, Aprilyani Nur; Akrom, Muhamad; Al Azies, Harun; Pertiwi, Ayu; Kurniawan, Achmad Wahid; Herowati, Wise; Rustad, Supriadi
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i1.1372

This study investigated the corrosion inhibition potential of ionic liquid compounds using a QSPR-based machine learning predictive model combined with DFT calculations. The Gradient Boosting (GB) model was identified as the most effective predictor, demonstrating excellent accuracy with a high R² value of 0.98. Additionally, the model exhibited low RMSE (0.95), MAE (0.84), and MAD (0.94) values. The predicted corrosion inhibition efficiencies (CIE) for three new ionic liquid compounds (IL1, IL2, and IL3) were 88.95, 90.82, and 93.16, respectively, which aligned well with experimental data. By integrating DFT simulations into the data updating process, facilitated by machine learning, the approach proved invaluable for identifying new corrosion inhibitors. This work highlighted the continuous refinement of data related to the corrosion inhibition effects of ionic liquid compounds.

Comparative Study of Classical, Quantum, and Hybrid Stacking Models for Predicting Corrosion Inhibition Efficiency Using QSAR Descriptors Herowati, Wise; Akrom, Muhamad
Journal of Multiscale Materials Informatics Vol. 2 No. 1 (2025): April
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v2i1.12217

This study investigates the performance of classical, quantum, and hybrid classical-quantum stacking models in predicting Corrosion Inhibition Efficiency (IE%) using 14 QSAR descriptors. The hybrid model combines a Gradient Boosting Regressor (GBR) and a Quantum Support Vector Regressor (QSVR) through a meta-learner (Ridge Regression). Results show a significant improvement over traditional models. The hybrid stacking model achieved an R² of 0.834, an MSE of 8.123, an MAE of 2.371, and an RMSE of 2.850, outperforming both individual classical and quantum models. These results confirm the strength of hybrid models in capturing both complex nonlinear and quantum-interaction patterns in QSAR-based molecular prediction.

IMPLEMENTASI COMPUTATIONAL THINKING PADA KURIKULUM MERDEKA MENGGUNAKAN METODE UNPLUGGED PROGRAMMING ACTIVITY (UPA) Sutojo, T.; Rustad, Supriadi; Akrom, Muhamad; Herowati, Wise
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 1 (2024): JANUARI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i1.1830

The application of Computational Thinking (CT) in the Kurikulum Merdeka is one way to strengthen fundamental competencies and holistic understanding in education. CT skills can be taught through Unplugged Programming Activities (UPA), which is an approach to teaching CT skills without using computer tools. This approach is appropriate for schools that do not have adequate technological infrastructure and for the little ones, namely students under 9 years of age. This service aims to provide UPA method training for teachers at Gaussian Kamil School (GKS) so that it can be applied to the Merdeka Curriculum at GKS. The UPA activity materials used were the games "Bee-bot" and "My Robotic Friends Activity". It is hoped that this material can provide knowledge and skills regarding CT to training participants at GKS. The results of the pre-test and post-test evaluation showed an increase in scores before and after the training process for the participants. So it can be said that the results of this service show that the UPA method is suitable for use to teach CT skills in schools that do not have adequate technological infrastructure.

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

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, Â 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 educatorâ€™s soft skills to support the production of teaching media so that the quality of human resources becomes better.Â

PENYULUHAN â€œTHE PHYCOLOGY OF BOARD GAMEâ€ DI DHADHU BOARD GAME CAFÃ‰ & 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

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

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