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All Journal Prosiding SNATIF JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang GUYUB: Journal of Community Engagement RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Jurnal Informasi Pengabdian Masyarakat Nusantara Journal of Computers and its Applications Jurnal Riset Sistem dan Teknologi Informasi Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Gotong Royong Abhakte
sudriyanto sudriyanto
Universitas Nurul Jadid
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Transportation Other

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Pelatihan Pemanfaatan Aplikasi Google Drive dan Google Form Sebagai Instrumen Evaluasi Hasil Belajar Siswa bagi Guru Madrasah Ibtidaiyah Raudlatul Mutaallimin Sudriyanto Sudriyanto; Novi Fitriani; Dinda Lailatul Qomariyah; Wiwik Widianti
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 1 No. 6 (2023): November : ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v1i6.89

Abstract

Education is a key element in the development of society and the nation. Madrasah Ibtidaiyah Raudlatul Mutaallimin Pandean Paiton Probolinggo faces challenges in evaluating student learning outcomes during distance learning. Technological limitations have prompted the search for innovative solutions. The goal of this service effort is to improve the quality of student learning outcome evaluations by utilizing Google Drive and Google Form applications in distance learning. Teachers are empowered through intensive training, workshops, and mentoring, including the use of Google Drive and Google Form in teaching and evaluation question development techniques. Active interaction and knowledge sharing occur during training, which has successfully enhanced teachers' knowledge and skills in creating evaluation instruments with Google Form. The final survey results show a significant improvement, with 87% of respondents experiencing improvement. They are now able to design evaluation instruments more effectively during distance learning. The use of Google Drive and Google Form as evaluation tools opens up opportunities for improving the quality of education. Recommendations for the future include continuing to support teachers, deepening the integration of technology in the learning process, and expanding training to enhance the effectiveness of learning at Madrasah Ibtidaiyah Raudlatul Mutaallimin Pandean Paiton Probolinggo..
Clustering Loyalitas Pelanggan Menggunakan Algoritma K-Means Berbasis Web Shafarina Aprilia, Diva; Sudriyanto; Moh Jasri
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 6 (2024): RESOLUSI July 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i6.2039

Abstract

Active customer engagement in transactions with the company significantly impacts profitability. Categorizing customer data into loyal and non-loyal segments is a common method to identify loyalty patterns. The results of this segmentation can guide companies in designing follow-up strategies, including tailored incentives based on customer loyalty levels. Implementing a web-based K-Means Clustering algorithm allows PT Bhara Utama's management to easily access customer segmentation results, speeding up data analysis and enhancing decision-making efficiency. The use of web technology also facilitates integration with existing information systems and provides more flexible access. An experiment conducted on 660 customer data resulted in three groups: 8 very loyal customers, 461 moderately loyal customers, and 191 non-loyal customers. Accuracy evaluation using the Davies-Bouldin Index (DBI) showed a value of 0.19, indicating high-quality clusters.
Pelatihan Penggunaan Microsoft Office Bagi Siswa MA Nurul Jadid Paiton Probolinggo Sudriyanto Sudriyanto; Mochammad Faid; Moh Sukron; Ahmad Supriadi
Jurnal Informasi Pengabdian Masyarakat Vol. 1 No. 2 (2023): Mei: Jurnal Informasi Pengabdian Masyarakat
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/jipm-nalanda.v1i2.396

Abstract

This research aims to assess the effectiveness of Microsoft Office training for students of Madrasah Aliyah (MA) Nurul Jadid in Paiton, Probolinggo. The training was chosen due to the importance of enhancing digital literacy and computer skills for students in an era heavily reliant on technology. The community engagement methods employed include lectures, demonstrations, and hands-on exercises conducted by the participants. The research results indicate a positive impact on improving the knowledge and skills of participants in the good category, increasing by 64.42%. However, challenges were observed among participants in the fair and poor categories, experiencing respective declines of 5.45% and 58.96%. These reductions highlight the need to reinforce the program with more varied methods and a personalized approach. Additionally, leveraging technology to facilitate interactive learning is essential to ensure that the benefits of the training can be equally felt by all participants. For further development, program enhancements are necessary to utilize more diverse methods and adopt a personal approach. The integration of technology can be harnessed to create a more interactive learning environment, fostering motivation and ensuring that the training's benefits are equally distributed among all participants. Thus, this research provides valuable insights for future training implementations, enabling a more effective approach to enhancing digital literacy and computer skills for students of Madrasah Aliyah Nurul Jadid in this rapidly advancing technological era.
Empowering Gen-Z: Pelatihan Digital Marketing Berbasis AI untuk Siswa SMK Nurul Jadid Paiton Probolinggo Sudriyanto Sudriyanto; Kamil Malik; Jamal Jamal
Abhakte Jurnal Pengabdian Kepada Masyarakat Vol 3 No 1 (2025): ABHAKTE
Publisher : Fakultas Sosial dan Ilmu Politik Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/abhakte.v3i2.4140

Abstract

The rapid development of digital technology requires the younger generation, especially vocational high school students, to have skills in digital-based marketing. However, many students still do not understand and master effective digital marketing strategies, especially those that utilize artificial intelligence (AI). Therefore, this community service activity aims to improve the understanding and skills of SMK Nurul Jadid Paiton Probolinggo students in AI-based digital marketing. The training was carried out through lecture methods, interactive discussions, and direct practice using various AI tools for digital marketing. Evaluation was carried out through pre-tests and post-tests to measure the effectiveness of the training. The results of the implementation showed a significant increase in student understanding and skills. The average pre-test score of 62.3 increased to 85.7 in the post-test, indicating the effectiveness of the practice-based learning approach. In addition, students were able to implement digital marketing strategies independently in business simulation projects. This activity not only provides short-term benefits but also contributes to students' readiness to face competition in the digital industry. As a follow-up, further mentoring and integration of materials into the school curriculum are recommended to ensure the sustainability of the benefits of this program.
PKM Pelatihan Digital Marketing untuk Peningkatan Kompetensi Gen Z di Era Ekonomi Digital Sudriyanto Sudriyanto; Achmad Andri Yudiono; Andi Wahyudi; Sutrisno Sutrisno
Abhakte Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2025): ABHAKTE
Publisher : Fakultas Sosial dan Ilmu Politik Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/abhakte.v3i2.4714

Abstract

Perkembangan ekonomi digital menuntut generasi muda, khususnya Generasi Z, untuk memiliki kompetensi dalam mengoptimalkan teknologi digital secara produktif. Namun, kondisi nyata menunjukkan masih rendahnya literasi digital serta keterampilan teknis Generasi Z dalam memanfaatkan media sosial untuk tujuan pemasaran dan personal branding. Menjawab permasalahan tersebut, kegiatan pengabdian kepada masyarakat ini dilaksanakan bersama mitra PT. Poter Teknik Nusantara melalui program pelatihan digital marketing yang dirancang secara sistematis dan aplikatif. Tujuan kegiatan ini adalah meningkatkan pemahaman Generasi Z terhadap konsep dasar pemasaran digital, membekali mereka dengan keterampilan teknis dalam pembuatan konten kreatif, serta menumbuhkan kesadaran akan pentingnya pemanfaatan media sosial untuk pengembangan potensi diri dan usaha mandiri. Metode pelaksanaan meliputi penyusunan modul pelatihan, sosialisasi dan pre-test, pelaksanaan pelatihan dengan pendekatan hands-on learning, praktik mandiri peserta berupa proyek kampanye digital, serta evaluasi melalui perbandingan hasil pre-test dan post-test. Hasil kegiatan menunjukkan peningkatan yang signifikan pada pemahaman peserta dengan rata-rata peningkatan lebih dari 70% serta lahirnya karya kreatif digital yang dipublikasikan di media sosial. Manfaat kegiatan ini tidak hanya meningkatkan literasi digital individu, tetapi juga membuka peluang terbentuknya generasi muda yang adaptif, kompetitif, dan berkontribusi dalam mendukung ekosistem ekonomi digital di tingkat lokal maupun nasional.
Bapak Analisis dan Prediksi Diabetes Menggunakan Artificial Neural Network dengan Dataset CDC Diabetes Health Indicators : Analisis dan Prediksi Diabetes Menggunakan Artificial Neural Network dengan Dataset CDC Diabetes Health Indicators Dodi Dwi Riskianto Dwi; Muhammad Afandi; M. Raihan Ramadhan; Sudriyanto Sudriyanto
Jurnal Riset Sistem dan Teknologi Informasi Vol. 4 No. 1 (2026): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v4i1.2096

Abstract

Diabetes mellitus is a chronic disease with increasing prevalence and requires effective early detection efforts. This study aims to develop a diabetes risk prediction model using an Artificial Neural Network (ANN) based on non-laboratory health indicators. The dataset used is the CDC Diabetes Health Indicators with a large amount of data and characteristics of classes that are not fully balanced. The research stages include data preprocessing that includes handling missing values, encoding categorical data using one-hot encoding, normalization of numerical features, and analysis of the target class distribution. The ANN model was trained using a Multilayer Perceptron architecture with dropout regularization and L2 penalty and AdamW optimization. The evaluation results show that the model achieved an accuracy of 86.45%, a precision of 85.2%, a recall of 82.7%, and an AUC-ROC value of 0.89. Although the accuracy is in the medium range for a large dataset, the high AUC value indicates excellent model discrimination ability. This performance is affected by the limited number of non-laboratory features used and the imbalanced class distribution. The findings of this study indicate that ANN based on simple health indicators has the potential to be used as a diabetes risk screening tool in primary healthcare. Further research is recommended to apply class balancing techniques, model interpretability analysis, and external validation in the Indonesian population.
Bapak Prediksi Depresi Mahasiswa Menggunakan Algoritma Random Forest Berbasis Data Psikososial Depression Prediction Among University Students Using a Random Forest Algorithm Based on Psychosocial Data : Prediksi Depresi Mahasiswa: Pendekatan Berbasis Data Psikososial Menggunakan Algoritma Random Forest Abiyya Alfahrizi Putra Arifiansyah Abiyya; Muhammad Afandi; Dodi Dwi Riskianto; Sudriyanto Sudriyanto
Jurnal Riset Sistem dan Teknologi Informasi Vol. 4 No. 1 (2026): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v4i1.2100

Abstract

College students' mental health is a critical issue that is gaining increasing attention, particularly regarding depression, which significantly impacts quality of life and academic achievement. This study aims to develop a predictive model for depression in college students based on psychosocial data using the Random Forest algorithm. The data used is a public secondary dataset from Kaggle with 1,000 samples, covering demographic variables, lifestyle, and psychological indicators. The analysis process included data preprocessing, class balancing, model training, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix metrics. Test results showed that the Random Forest model was able to predict depression with 87.0% accuracy, 86.1% precision, 87.4% recall, and 86.7% F1-score, demonstrating good and stable performance. Word cloud visualization identified academic pressure, stress, and anxiety as dominant factors. Compared to previous research using the SVM algorithm, Random Forest demonstrated improved performance, particularly in handling complex and imbalanced data. This study confirms the effectiveness of the Random Forest-based machine learning approach in supporting the early detection of college students' depression and provides a foundation for the development of mental health monitoring systems in higher education settings.
Python-Based Telegram Frequently Asked Questions (FAQ) Chatbot Using Text Retrieval Mochammad Faid; Sudriyanto Sudriyanto; Moh Sukron; Syaiful Syaiful
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 7, No 1 (2026): Sustainable Information Technology Innovation Supports a Digital-Based Smart Eco
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v7i1.15554

Abstract

This study presents the implementation of a Telegram FAQ chatbot developed in Python to address the difficulty of providing rapid and consistent responses to recurring public-service questions. The system stores question-and-answer pairs in memory, extracts FAQ entries from free-form text, and retrieves the closest answer using text similarity through Python's difflib library. The prototype also provides inline menus, an interactive quiz, FAQ reset and update commands, and an optional large language model refinement stage constrained by the retrieved context. The research followed an implementation-oriented prototyping approach comprising requirements identification, code analysis, system design, implementation review, and scenario-based functional inspection. Static analysis identified 14 principal functions, 273 built-in FAQ pairs, and 100 quiz questions. The implementation analysis indicates that lightweight retrieval can support a practical and resource-efficient FAQ automation prototype while maintaining answers within the available knowledge base. Nevertheless, production deployment requires stronger secret management, persistent storage, access control, logging, and empirical evaluation using real user questions. The study contributes a replicable architecture for controlled FAQ automation on Telegram and establishes priorities for subsequent reliability and usability testing.
PKM Meningkatkan Kesiapan Siswa Menghadapi Transformasi Digital Melalui Pelatihan Manajemen Chatgpt Sudriyanto Sudriyanto; Abdullah Farhan; Yusuf Ghozali; Moh. Khoirul Yaqin; Ivan Catur Prasetyo; Ragil Albar Fikri Putra; Moh. Rafly Islamay Pasya
Gotong Royong Vol. 1 No. 3 (2024)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/gr.v1i3.45

Abstract

Digital transformation in education poses a significant challenge for educational institutions, including MI Al-Azhar, which still faces limitations in the digital skills of teachers and students, as well as in the integration of technology into the learning process. This community service program aims to address these issues through ChatGPT management training, designed to enhance digital skills and the ability to integrate technology into learning. The service includes intensive training for teachers and students, along with guidance on the practical application of digital technology in the classroom. The proposed solution successfully improved teachers' digital skills, with average scores increasing from 62 to 85, and students' digital literacy from 65 to 85. Additionally, there was a significant increase in technology usage, with teachers using technology in teaching rising from 20% to 90%, and students using technology in school tasks rising from 10% to 60%. The conclusion of this program indicates that ChatGPT management training is effective in addressing the challenges of digital transformation at MI Al-Azhar. Recommendations from this service include the need for ongoing support, further training, and the development of technological infrastructure to ensure the sustainability and effectiveness of technology use in learning in the future.
Aplikasi Monitoring Manajemen Kuangan di Madrasah Diniyah PP. Ibnu Kholdun A-Hasyimi Berbasis Web dan Bot Telegram Sudriyanto Sudriyanto; Jamal Jamal; M. Fawaidur Rizki
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 4, No 1 (2023): Metaverse dan Masa Depan Interaksi Digital: Perspektif Teknologi dan Sosial
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v4i1.6312

Abstract

Manajemen keuangan meliputi  segala kegiatan yang berhubungan dengan perolehan, pendanaan serta untuk mengolah aktivitas dengan tujuan semua aktivitas, Termasuk pengolahan manajemen keuangan sekolah dalam sebuah institusi pendidikan merupakan kegiatan penting yang dilaksanakan secara periodik ataupun setiap saat, data-data keuangan tersebut selalu berubah setiap bulan atau setiap tahun, pengeluaran dan pemasukan. Sedangkan informasi dituntut untuk selalu aktual, sehingga dibutuhkan suatu sistem informasi yang bisa mengolah data-data secara cepat dan efektif, diketahui bahwa sistem manajemen keuagan yang sedang berjalan pada Madrasah Diniyah PP.Ibnu kholdun Al-hasyimi masih dilakukan secara manual yang membuat aliran informasi yang lambat, proses pencarian data yang lambat, perhitungan data dalam jumlah banyak sulit dilakukan,  minimnya pemantauan yang dilakukan atasan. Berdasarkan latar belakang permasalahan diatas dapat ditarik kesimpulan bahwa permasalahan yang dihadapi yaitu bagaimana merancang sebuah Aplikasi Monitoring manajemen Keuangan di Madrasah Diniyah PP.Ibnu kholdun  Al-Hasyimi Berbasis  Web Dan Bot Telegram. Dari hasil perancangan Aplikasi Monitoring Manajemen Keuangan di Madrasah Diniyah PP.Ibnu kholdun  Al-Hasyimi Berbasis  Web Dan Bot Telegram. Berdasarkan hasil perhitungan, disimpulkan bahwa pengujian eksternal dengan berjumlah 6 pertanyaan dan 10 penguji, maka dihasilkan persentase yang diperoleh skor 77,5% dengan kategori baik.
Co-Authors Abdullah Farhan Abiyya Alfahrizi Putra Arifiansyah Abiyya Achmad Andri Yudiono Ahmad Khairi ahmad supriadi Andi Wahyudi Atoillah Shohibul Hikam Dinda Lailatul Qomariyah Dodi Dwi Riskianto Dodi Dwi Riskianto Dwi Isti Ghulam Hidayatullah Ivan Catur Prasetyo Jamal Jamal Jamal Jamal Kamil Malik M. Ainun Rofiq Hariri M. Alman David M. Fajar Santoso M. Fawaidur Rizki M. Lukman Hakim M. Raihan Ramadhan Maulidiansyah Maulidiansyah mochammad faid Mochammad Faid Moh Ahsan Al Maliki Moh Furqan Moh Jasri Moh Novi Hermawan Moh Sukron Moh. Khoirul Yaqin Moh. Rafly Islamay Pasya Muhammad Afandi Muhammad Riyan Ulil Albab Novi Fitriani Putri Tsamrotul Fu’adiyah Ragil Albar Fikri Putra Rudi Rizaldi Shafarina Aprilia, Diva Siti Aisyah Sukma Agung Adi Luwih Sutrisno Sutrisno Syaiful Syaiful Syamsul Arifin Wahab Sya’roni Wahyu Pratama Mukti Wakiludinil Hasan Wiwik Widianti Yaqin, Moh. Ainol Yusuf Ghozali