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All Journal Techno.Com: Jurnal Teknologi Informasi Eksergi: Chemical Engineering Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of New Media Technology Jurnal ULTIMATICS KOMPUTIKA - Jurnal Sistem Komputer Building of Informatics, Technology and Science Journal of Information Systems and Informatics Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Abdi Masya Jurnal Algoritma Community: Jurnal Pengabdian Pada Masyarakat NERO (Networking Engineering Research Operation) Journal of Future Artificial Intelligence and Technologies Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat
Trisnapradika, Gustina Alfa
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Pengenalan Sistem Pertanian Cerdas Untuk Konservasi Alam Dan Penghematan Energi dengan Metode Critical Thinking pada Siswa SD Islam Bintang Juara Ningrum, Novita Kurnia; Umaroh, Liya; Trisnapradika, Gustina Alfa; 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.v8i1.2708

Abstract

Indonesia sebagai negara kepulauan  terbesar di duniia terdiri dari wilayah daratan dan lautan dengan ribuan pulau kecil yang tersebar di seluruh kawasan perairannya. Akan tetapi pengelolaan ekosistem alam yang buruk selama beberapa tahun terakir berdampak pada kerusakan ekosistem alam yang dari tahun 2017-2021 terjadi deforetasi di pulau kecil mencapai 79% tiap tahunnya. Kerusakan akibat deforestasi tersebut tidak hanya merusak ekosistem alam juga merusak sumber energy yang tidak terbarukan yang disebabkan oleh penambangan dan pembukaan lahan hutan yang melanggar etika lingkungan. Oleh karenanya diterapkan metode critical thinking pada siswa. Berpikir kritis sangat dibutuhkan oleh anak sejak usia dini, utamanya tingkatan sekolah dasar. Dengan berpikir kritis, siswa menjadi lebih tajam dalam memahami permasalahan dan tetpat sasaran dalam menentukan solusi permasalahan yang ditemukan. Adanya smart farming merupakan salah satu pendekatan teknologi yang dapat dilakukan agar kerusakan ekosistem alam dapat dikendalikan. Pengenalan smart farming disampaikan dengan metode computational thinking yang  diikuti oleh 20 peserta yang terdiri dari 17 siswa dan 3 guru pengajar di SD Islam Bintang Juara.
Peningkatan Kapabilitas Perlindungan Diri Perempuan Desa Batursari Melalui Praktik Dasar Muay Thai Trisnapradika, Gustina Alfa; Saraswati, Eka Rizky Anggi; Muttaqin, Muhammad Al Ghorizmi; Prakoso, Dwi
Community : Jurnal Pengabdian Pada Masyarakat Vol. 5 No. 1 (2025): Maret : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/16fnb325

Abstract

Maraknya tawuran antar gangster di malam hari membuat masyarakat menjadi resah untuk beraktivitas dengan bebas. Hingga di era saat ini, perempuan masih menjadi objek atau target utama tindak kriminalitas akibat stigma bahwa perempuan adalah kaum yang lemah.  Desa Batursari memiliki populasi sebesar 35.229 jiwa dengan sebaran jumlah penduduk perempuan sebanyak 17.625 jiwa sehingga memiliki kerentanan menjadi korban kriminalitas yang tinggi. Oleh karenanya, Tim Pengabdi berkolaborasi bersama Dinas Perempuan dan Anak (DP3AP2KB) Provinsi Jawa Tengah dan perangkat Desa Batursari untuk mengadakan kegiatan edukasi dan praktik dasar Muay Thai sebagai bentuk antisipasi terhadap terjadinya kriminalitas. Hasilnya, terjadi 67,7% peningkatan pengetahuan dan kapabilitas kaum perempuan masyarakat Desa Batursari dalam bidang perlindungan diri.
IMPROVING AWARENESS OF INTERNET SECURITY AND ETHICS AMONG STUDENTS AT SMA NEGERI 2 MRANGGEN Naufal, Muhammad; Hidayat, Novianto Nur; Trisnapradika, Gustina Alfa; Al Azies, Harun
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 2 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i2.2025.204-214

Abstract

This community service initiative aimed to enhance the awareness of internet security and ethics among high school students at SMA Negeri 2 Mranggen, Demak Regency, Central Java. The program utilized a structured methodology consisting of outreach, training, and evaluation stages conducted in a hands-on environment within the school's computer laboratory. The training covered key topics such as data security, phishing attacks, malware, and ethical internet use. The sessions were held in the school’s computer laboratory to provide hands-on experience. Each training session had a duration of 3×45 minutes, attended by 31 students, allowing comprehensive exploration of the material. Pre- and post-tests were administered to assess the effectiveness of the training. The results demonstrated a significant improvement in students' knowledge, with average scores increasing from 49 in the pre-test to 72.67 in the post-test. A paired t-test analysis confirmed this improvement as statistically significant, with a T-statistic of -13.971 and a P-value of 2.07 × 10-14. The findings highlight the program's success in raising awareness and equipping students with the skills to navigate the digital world safely and responsibly. This initiative underscores the importance of educational programs in fostering internet literacy and security awareness among young users. To build on these findings, it is recommended that similar training sessions to be conducted regularly to reinforce the concepts learned. Additionally, a long-term plan is proposed as a form of sustainability of this community service program, namely by expanding the training targets not only to students but also to teachers, housewives and children who are already accustomed to gadgets.
Development and Implementation of a Corrosion Inhibitor Chatbot Using Bidirectional Long Short-Term Memory Ardyansyah, Nibras Bahy; Putra, Dzaki Asari Surya; Putranto, Nicholaus Verdhy; Trisnapradika, Gustina Alfa; Akrom, Muhamad
IJNMT (International Journal of New Media Technology) Vol 12 No 1 (2025): Vol 12 No 1 (2025): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v12i1.3752

Abstract

This research delves into the intricate phenomenon of corrosion, a process entailing material degradation through chemical reactions with the environment, causing consequential losses across diverse sectors. In response, corrosion inhibitors are a proactive measure to counteract this deleterious impact. Despite their paramount significance, public awareness regarding corrosion and inhibitors remains limited, necessitating intensified educational efforts. The primary focus of this study is developing a Chatbot system designed to disseminate information on corrosion, inhibitors, and related topics. Employing the Machine Learning Life Cycle model, a deep learning approach, specifically the Bidirectional Long Short-Term Memory (BLSTM) architecture, is utilized to construct an optimized Chatbot model. Post-training evaluation of the BLSTM model reveals noteworthy performance metrics, including a remarkable 100% accuracy rate and a substantial 92% validation accuracy over 100 epochs. Training and validation losses are reported as 0.2292 and 0.9342, respectively. In conclusion, the BLSTM algorithm is an effective tool for training and enhancing Chatbot models, ensuring commendable corrosion awareness and inhibition performance.
Optimasi model machine learning untuk prediksi inhibitor korosi berbasis augmentasi dataset senyawa n-heterocyclic menggunakan KDE Gumelar, Rizky Syah; Akrom, Muhamad; Trisnapradika, Gustina Alfa
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v%vi%i.27945

Abstract

This study aims to optimize a machine learning model to predict the corrosion inhibitor effectiveness of N-Heterocyclic compounds.  The main challenge in this modelling is the limited dataset due to the high cost and time required to collect experimental data. To overcome this problem, this research utilizes Kernel Density Estimation (KDE) as a data augmentation technique, generating virtual samples that improve dataset diversity and model predictive performance. The developed dataset includes 11 relevant chemical features such as HOMO, LUMO, and Gap Energy. Linear (MLR, Ridge, Lasso, and ElasticNet) and non-linear (KNR, Random Forest, Gradient Boosting, Adaboost, XGBoost) machine learning models were evaluated based on Root Mean Squared Error (RMSE) and coefficient of determination (R²). The results show that data augmentation using KDE improves prediction accuracy and stability, especially in non-linear models like Random Forest and XGBoost. The application of KDE proved effective in improving the performance of predictive models. It can be recommended as an augmentation method in similar studies that require additional data to improve prediction accuracy.Keywords: Machine Learning, Kernel Density Estimator (KDE), Corrosion Inhibitor, Dataset
Edukasi Pengelolaan Sampah Berbasis 3R: Jelantah Menjadi Lilin Aromaterapi bagi Perempuan Desa Batursari Trisnapradika, Gustina Alfa; Putra, Maulana Damar Adhesyah; Shanty, Maritza Ardila; Handayani, Margareta Valencia Suci
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 6 No. 1 (2025)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v6i1.190

Abstract

Sampah rumah tangga dan sejenisnya merupakan isu kritis di Kabupaten Demak, karena volumenya terus meningkat. Untuk mengatasi masalah ini, Tim Pengabdi melaksanakan program di Desa Batursari, Kabupaten Demak yang bertujuan untuk meningkatkan kesadaran dan keterampilan masyarakat dalam pengelolaan sampah dengan menerapkan konsep 3R (Reduce, Reuse, Recycle). Salah satunya adalah pengolahan minyak jelantah menjadi lilin aromaterapi, memberikan nilai tambah pada limbah rumah tangga yang sering diabaikan. Metode pelaksanaan program meliputi penyampaian materi, sosialisasi, dan pelatihan langsung kepada 38 peserta yang mayoritas merupakan ibu rumah tangga. Berdasarkan nilai pre-test dan post-test yang diukur sebelum dan sesudah kegiatan menunjukkan adanya peningkatan pemahaman peserta, dari rata-rata 50,21% sebelum pelatihan setelahnya menjadi 68,57%. Program ini berhasil meningkatkan pengetahuan dan keterampilan masyarakat dalam pengelolaan sampah melalui pembuatan lilin aromaterapi dan diharapkan dapat berkontribusi terhadap pengurangan sampah di TPA serta peningkatan kualitas lingkungan hidup di Kabupaten Demak.
Comparison of Linear and Non-Linear Machine Learning Algortima for Predicting the Effectiveness of Plant Extracts as Corrosion Inhibitors Mulyana, Yudha; Akrom, Muhamad; Trisnapradika, Gustina Alfa
IJNMT (International Journal of New Media Technology) Vol 11 No 1 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i1.3572

Abstract

This research aims to develop a Machine Learning (ML) model that can predict the corrosion inhibitor potential of plant extracts with high accuracy. Corrosion is a serious problem in industry because it can reduce the service life of materials and cause economic losses. This research focuses on the use of green inhibitors, especially plant extracts, which are considered environmentally friendly and have high anticorrosion efficiency. The dataset used includes molecular and physicochemical features of plant extracts. The ML model development process involves data normalization, selection of linear and non-linear ML algorithms, model training with k-fold crossvalidation, and model performance evaluation using regression metrics such as MSE, RMSE, MAE, and R2. Experiments compare various ML algorithms and show that the AdaBoost Regressor (ABR) model exhibits the best prediction performance with the highest R2 value of 0.993 and a low MSE of 0.002. These results provide new insights into the potential of ML models to predict effective corrosion inhibitors from plant extracts. The ABR model had a low prediction error, indicating high accuracy in predicting corrosion inhibition efficiency. In addition, the analysis of important features shows that two features, Conc and LUMO, have a significant influence on the ABR model. This research makes an important contribution to the development of effective prediction methods in the corrosion control industry. The ABR model can serve as a basis for designing more effective and environmentally friendly corrosion inhibitor materials, as well as a reference for other researchers in developing ML models that accurately predict the corrosion inhibition efficiency of plant extracts.
Pembuatan Desain Logo Sebagai Ikon Baru Bagi Kampung Batik Rejomulyo Semarang Trisnapradika, Gustina Alfa; Nusantara, Hanif Setia; Dewi, Dinar Pitania; Zahrah, Febrina Nabila; Widyawati, Femmi; Putra, Ricky Primayuda
Community : Jurnal Pengabdian Pada Masyarakat Vol. 3 No. 3 (2023): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v3i3.416

Abstract

Kampung Batik Rejomulyo, sebuah kampung yang memiliki warisan seni budaya dan kerajinan batik yang kaya. Dalam konteks globalisasi dan persaingan ketat, pengembangan dan promosi kampung batik ini diperlukan untuk menjaga relevansi dan daya saingnya. Salah satu caranya melalui pembuatan desain logo yang akan dijadikan ikon baru kampung tersebut. Logo ini bertujuan untuk meningkatkan pengenalan produk batik semarangan, serta dapat menjadi aset berharga untuk strategi branding produk batik semarangan di Kampung Batik Rejomulyo. Harapan dari penggunaan logo baru ini dapat memberikan identitas yang kuat bagi Kampung Batik Rejomulyo, tidak hanya di tingkat lokal tetapi juga secara nasional maupun internasional.
Ecoprint: Upaya Mengurangi Paparan Digital pada Anak Melalui Sekolah Perempuan Kreatif Batursari Trisnapradika, Gustina Alfa; Amri, Sahrul; Ardiansyah, Nibras Bahy; Rozada, Akfi
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 2 (2024): Juli : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v4i2.543

Abstract

Golden Age is an era for children which is most crucial in building character in the future. However, nowadays many children are exposed to gadgets from an early age. The role of parents is very important to facilitate creative and positive activities to divert children's addiction to gadgets. Ecoprint is one of the activities that can be done with children. So, the service team held a service in the form of ecoprint training which was attended by women from Desa Batursari who are members of the Batursari Creative Women's School. As a result, participants took part in the training enthusiastically and produced good creations. The hope is that this activity can be an idea for playing with children at home.
Peningkatan Potensi Ekonomi Digital Perempuan Desa Batusari Bersama Kampus Shopee Semarang Trisnapradika, Gustina Alfa; Nissa, Khoirul; Prayogo, Sandi Yudha; Rizky, Muhammad Ivan Khoirur
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 3 (2024): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/f62pf519

Abstract

For some, the role of housewives is often underestimated because it is called an unproductive role. In fact, housewives have many skills and capabilities in self-development if they find the right place. Desa Batursari has a population demographic with a high population of 35,229 people. Of the total population, 17,625 are women. This is also a high potential for carrying out various aspects of empowerment and increasing competence for women, especially housewives. Housewives in Desa Batursari have many skills in producing creative goods and processed food products but are constrained in marketing which is only by word of mouth. Therefore, the Community Service Team collaborated with the Kampus UMKM Shopee Semarang to provide appropriate digital marketing education and training for housewives in Desa Batursari. The activity was held with a presentation of the education followed by the practice of optimizing digital marketing in the marketplace. It is hoped that with this community service activity, housewives in Desa Batursari can increase the economic potential of themselves and their families.
Co-Authors Achmad Wahid Kurniawan Adhy, Bagaskara Bayu Adiprasetya, Vicenzo Frendyatha Amri, Sahrul Ananta, Putri Rossa Ardana, Primavieri Rhesa Ardiansyah, Nibras Bahy Ardyansyah, Nibras Bahy Ayu Pertiwi Bahri, Alfino Kautsar Budi, Setyo Cahyana, Timothy Mulya De Rosal Ignatius Moses Setiadi Dewi, Dinar Pitania Etika Kartikadarma Gumelar, Rizky Syah Handayani, Margareta Valencia Suci Harun Al Azies Herowati, Wise Hidayat, Novianto Nur Ignatius Moses Setiadi, De Rosal Islam, Hussain Md Mehedul Juhara, Kanahaya Putri Kaisalana, Mustafid Kumoro, Imanuel Dimas Cahyo Liya Umaroh, Liya Moch Anjas Aprihartha Muhammad Akrom Muhammad Naufal Muljono Muljono Mulyana, Yudha Muttaqin, Muhammad Al Ghorizmi Nadia Itona Siregar, Nadia Itona Ningrum, Novita Kurnia Nissa, Khoirul Noor Ageng Setiyanto, Noor Ageng Nusantara, Hanif Setia Prabowo, Wahyu Eko Aji Prakoso, Dwi Pramono, Renjiro Azhar Prawesty, Ganis Fatimah Diaz Prayogo, Sandi Yudha Putra Sumarjono, Cornellius Adryan Putra, Dzaki Asari Surya Putra, Maulana Damar Adhesyah Putra, Ricky Primayuda Putranto, Nicholaus Verdhy Rahma, Khalida Nur Rizky, Muhammad Ivan Khoirur Rohman, Adib Annur Rozada, Akfi Saraswati, Eka Rizky Anggi setiawan, nabila putri Shanty, Maritza Ardila Sumarjono, Cornellius Adryan Putra Supriadi Rustad Sutrisno, Hendra T. Sutojo Widyawati, Femmi Zahrah, Febrina Nabila