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Artificial Intelligence Berbasis QSPR Dalam Kajian Inhibitor Korosi Akrom, Muhamad; Sudibyo, Usman; Kurniawan, Achmad Wahid; Setiyanto, Noor Ageng; Pertiwi, Ayu; Safitri, Aprilyani Nur; Hidayat, Novianto; Al Azies, Harun; Herawati, Wise
JoMMiT Vol 7 No 1 (2023): Artikel Jurnal Volume 7 Issue 1, Juni 2023
Publisher : Politeknik Negeri Media Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46961/jommit.v7i1.721

Abstract

Baja termasuk material yang memiliki ketahanan rendah terhadap serangan korosi Ketika berada pada lingkungan korosif. Inhibitor organik mampu menghambat korosi dengan efisiensi inhibisi yang tinggi. Tinjauan komparatif penting bagi pengembangan metode evaluasi kinerja inhibitor disajikan dalam karya ini. Kami mereview perkembangan artificial intelligence berbasis mesin learning dengan model QSPR dalam kajian penghambatan korosi. Makalah ini menjelaskan bagaimana metode pembelajaran mesin berbasis data dapat menghasilkan model yang menghubungkan sifat-aktivitas molekuler dengan penghambatan korosi oleh inhibitor berbasis bahan alam (green inhibitor). Teknik ini dapat digunakan untuk memprediksi kinerja senyawa yang belum disintesis atau diuji. Keberhasilan model ini memberikan paradigma untuk penemuan senyawa baru yang cepat, penghambat korosi yang efektif untuk berbagai logam dan paduan.
PENGEMBANGAN WEB SERVICE MENGGUNAKAN FRAMEWORK FASTAPI UNTUK MENINGKATKAN KEMUDAHAN INTEGRASI SISTEM INFORMASI AKADEMIK MULTIPLATFORM Safitri, Aprilyani Nur; Harkespan, Imanuel
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.149-157

Abstract

Academic activities at Dian Nuswantoro University are managed using a web-based and mobile-based (Android and IOS) academic information system for students, lecturers, educators, and parents (guardians). The data retrieval process used by the academic information system is currently in each system itself so that it is prone to errors. Therefore, a back-end service is needed in the form of a web service that acts as a portal for the data retrieval process that can be used by the multiplatform academic information system. In addition to helping to avoid data retrieval errors, the web service that is built also provides complete and easy-to-understand documentation of web service usage. The average time required for the web service to provide a response when accessed by 1000 users is 6198ms (minimum 17ms and maximum 10017ms), meaning that the web service has good performance under high loads. The Extreme Programming method was chosen for the development of the web service in this study. This method consists of four stages, namely planning (analysis of what the system needs), design (visualization with Use Case diagrams), coding (using FastAPI Framework), and the last is testing (using BlackBox and JMeter for testing functions and security). The simplicity of this method can support the achievement of the desired results, namely a back-end service in the form of a web service, which can be used by a multi-platform academic information system to exchange data easily and accurately so that errors can be avoided, especially inconsistencies in presenting academic data.
Penerapan Gamifikasi Materi Pembelajaran Tingkat SMA dengan Menggunakan Wordwall Setiyanto, Noor Ageng; Hidayat, Novianto Nur; Akrom, Muhamad; Pertiwi, Ayu; Aprihartha, Moch. Anjas; Safitri, Aprilyani Nur; Sudibyo, Usman; Prabowo, Wahyu Aji Eko; Al Azies, Harun; Naufal, Muhammad
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.v8i1.2851

Abstract

Kegiatan Pengabdian Masyarakat ini dilaksanakan di SMA Negeri 2 Mranggen, Demak, dengan tujuan untuk menciptakan variasi materi pembelajaran melalui proses gamifikasi, sehingga pembelajaran menjadi lebih menarik dan interaktif bagi siswa tingkat menengah. Tema dari kegiatan ini adalah gamifikasi materi pembelajaran menggunakan alat bantu Wordwall, yang memungkinkan pengintegrasian elemen permainan dalam proses belajar-mengajar. Kegiatan ini melibatkan para guru di SMA Negeri 2 Mranggen, Demak. Metode yang digunakan meliputi observasi untuk memahami kebutuhan pembelajaran di sekolah, serta pelatihan langsung dalam bentuk seminar, demonstrasi, dan sesi diskusi interaktif. Teknik ini dirancang agar para guru dapat memahami konsep gamifikasi, mempraktikkan penggunaan Wordwall, dan mengembangkan materi ajar yang kreatif serta sesuai dengan kurikulum yang ada. Hasil kegiatan menunjukkan bahwa implementasi gamifikasi materi pembelajaran melalui Wordwall efektif dalam meningkatkan pemahaman guru terhadap konsep gamifikasi. Selain itu, para guru merasa terbantu dan termotivasi untuk menciptakan materi pembelajaran yang lebih kreatif, menarik, dan dinamis.
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

Abstract

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.
Pelatihan Computational Thinking Melalui Soal Tantangan Bebras untuk Siswa SD Herowati, Wise Herowati; Sudibyo, Usman; Budi, Setyo; Kurniawan, Achmad Wahid; Safitri, Aprilyani Nur
Manggali Vol 4 No 1 (2024): Manggali
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/manggali.v4i1.2941

Abstract

Proses penyampaian ilmu pengetahuan salah satunya ada di proes pendidikan dasar yang diterapkan pada proses persekolahan. Salah satu yang mendukung untuk mengembangkan pengetahuan adalah menggunakan konsep Computational Thinking (CT) melalui soal-soal Bebras. Pengetahuan mengenai soal bebras dapat membantu guru dan siswa dalam mengembangkan kemampuan dan kreatifitas dalam berpikir kritis dan melakukukan analisis dalam menyelesaikan masalah. Metode pembelajaran berbasis simulasi yang digunakan dalam proses pelatihan yang diharapkan dapat membantu guru dan siswa dalam memvisualisasikan konsep secara lebih baik dan jelas serta diharapkan pula siswa mendapatkan keterampilan yang baru dengan tidak takut jika melakukan kesalahan.
PENGEMBANGAN WEB SERVICE MENGGUNAKAN FRAMEWORK FASTAPI UNTUK MENINGKATKAN KEMUDAHAN INTEGRASI SISTEM INFORMASI AKADEMIK MULTIPLATFORM Safitri, Aprilyani Nur; Harkespan, Imanuel
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.149-157

Abstract

Academic activities at Dian Nuswantoro University are managed using a web-based and mobile-based (Android and IOS) academic information system for students, lecturers, educators, and parents (guardians). The data retrieval process used by the academic information system is currently in each system itself so that it is prone to errors. Therefore, a back-end service is needed in the form of a web service that acts as a portal for the data retrieval process that can be used by the multiplatform academic information system. In addition to helping to avoid data retrieval errors, the web service that is built also provides complete and easy-to-understand documentation of web service usage. The average time required for the web service to provide a response when accessed by 1000 users is 6198ms (minimum 17ms and maximum 10017ms), meaning that the web service has good performance under high loads. The Extreme Programming method was chosen for the development of the web service in this study. This method consists of four stages, namely planning (analysis of what the system needs), design (visualization with Use Case diagrams), coding (using FastAPI Framework), and the last is testing (using BlackBox and JMeter for testing functions and security). The simplicity of this method can support the achievement of the desired results, namely a back-end service in the form of a web service, which can be used by a multi-platform academic information system to exchange data easily and accurately so that errors can be avoided, especially inconsistencies in presenting academic data.