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All Journal AMIKOM ICT AWARD 2010 Jurnal Simetris TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Jurnal Buana Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding Seminar LPPM UMP Tahun 2014 Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika dan Multimedia Jurnal Pilar Nusa Mandiri SINTECH (Science and Information Technology) Journal Applied Information System and Management Journal of Innovation in Business and Economics EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Journal of Information Systems and Informatics Journal of Robotics and Control (JRC) IJECA (International Journal of Education and Curriculum Application) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal AbdiMas Nusa Mandiri Journal of Soft Computing Exploration Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Journal of Practical Computer Science (JPCS) Journal of Artificial Intelligence and Digital Business Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Journal of Information Technology and Cyber Security Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Journal of Informatics and Interactive Technology (JIITE) Jurnal Teknologi Riset Terapan
Dhanar Intan Surya Saputra
Program Studi Teknik Informatika, STMIK AMIKOM Purwokerto Jl. Letjen Pol Sumarto Watumas Purwanegara Purwokerto, Banyumas 53123
Religion Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Enhancing Student Sentiment Classification on AI in Education using SMOTE and Naive Bayes Saekhu, Ahmad; Berlilana, Berlilana; Saputra, Dhanar Intan Surya
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6469

Abstract

This study investigates student sentiment regarding the use of artificial intelligence (AI) in education, employing the Naive Bayes model enhanced with the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance issues. Class imbalance, a common challenge in sentiment classification, often skews model performance toward majority classes, reducing its effectiveness in recognizing minority classes. To mitigate this, SMOTE was applied to generate synthetic samples for minority classes, achieving a more balanced class distribution. The results demonstrate that incorporating SMOTE improved the Naive Bayes model's accuracy from 65% to 78.87% and significantly increased sensitivity to minority classes. Evaluation metrics, including precision, recall, and F1-score, showed satisfactory performance for certain classes, notably classes 2 and 4. However, challenges remained with class 1, where classification accuracy was lower, indicating inherent complexities in its data patterns. While SMOTE successfully enhanced model performance, it also introduced a potential risk of overfitting, particularly with limited original datasets, highlighting the importance of data quality and size. This research offers actionable insights for educators, developers, and policymakers, emphasizing the need for AI systems in education that are adaptive and responsive to student perceptions. The study concludes that Naive Bayes combined with SMOTE is an effective approach for sentiment analysis in imbalanced datasets. Future research should explore more sophisticated models and larger datasets to achieve more comprehensive and representative outcomes.
Enhancing Sentiment Analysis Accuracy Using SVM and Slang Word Normalization on YouTube Comments Saputra, Alfin Nur Aziz; Saputro, Rujianto Eko; Saputra, Dhanar Intan Surya
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14613

Abstract

Sentiment analysis is a crucial technique in understanding public opinion, particularly on social media platforms such as YouTube. However, the presence of informal language, including slang words, poses significant challenges to accurate sentiment classification. This study aims to enhance sentiment analysis by implementing a Support Vector Machine (SVM) classifier combined with SMOTEENN data balancing techniques to address class imbalance issues. The research collects 3,375 YouTube comments on the movie Pengabdi Setan 2: Communion using the YouTube Data API. The preprocessing steps include text cleaning, tokenization, stopwords removal, stemming, and slang word normalization using kamusalay.csv to ensure standardization of informal expressions. The extracted features are represented using TF-IDF, and sentiment labeling is performed using VADER. Experimental results show that the SVM model achieves an accuracy of 98%, but struggles with detecting negative sentiments, as indicated by lower recall (38%) and F1-score (53%) for the negative class. Although the application of SMOTEENN improves data balance, further refinements, such as adjusting classification thresholds and integrating deep learning techniques, are necessary to enhance sentiment detection, particularly for informal and emotionally nuanced language. This study contributes to improving sentiment analysis models by demonstrating the effectiveness of slang word normalization in handling non-standard language variations. Future work will explore more sophisticated language models to enhance accuracy in sentiment classification.
Management Information Systems Dynamics in Education Amid Disruptive Technological Shifts: A Review Baetisalamah, Nadiva Amelia; Alamsyah, Rizki; Khoirudin, Muhamad Affan; Fariha, Zulfia Nur; Saputra, Dhanar Intan Surya
Journal of Informatics and Interactive Technology Vol. 1 No. 1 (2024): April
Publisher : ACSIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63547/jiite.v1i1.1

Abstract

This research provides a systematic review of the influence of Management Information Systems (MIS) in the education sector, especially amidst technological shifts that are changing the educational landscape. Three research questions (RQs) were directed at exploring the impact of MIS on operational efficiency, strategic decision-making, and supporting educational innovation. The research findings imply that MIS is a key element in spurring positive change in the education sector. RQ1 highlights the role of MIS in improving the operational efficiency of educational institutions. Effective MIS integration makes it easier to automate administrative processes, improve resource management, and optimize financial processes. RQ2 focuses on the role of MIS in supporting strategic decision-making. Analysis shows that MIS facilitates data-driven strategic planning, provides better visibility into performance, and improves responsiveness to technological change. Meanwhile, RQ3 examines the integration of MIS in supporting educational innovation, showing that MIS becomes a catalyst for the development of new learning platforms, increasing student engagement, and creating a responsive learning environment. In conclusion, MIS is considered important in managing education in an era of technology that continues to develop. The implications of this research include the need to increase the understanding and application of MIS in educational institutions, as well as recommendations to guide practitioners, policymakers, and further study in efforts to maintain efficiency, sustainability, and innovation in the education system.
Menjelajahi Tantangan dan Kemajuan Dalam Deep Learning Untuk Readmisi Pasien: Tinjauan Literatur Sistematis Surur, Miftahus; Tahyudin, Imam; Saputra, Dhanar Intan Surya; Nanjar, Agi
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 5 (2025): JPTI - Mei 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.681

Abstract

Prediksi readmisi pasien telah menjadi tantangan utama dalam meningkatkan kualitas layanan kesehatan. Penelitian ini menyajikan tinjauan sistematis terhadap algoritma deep learning, dengan menganalisis 30 artikel dari database utama seperti Scopus, IEEE Xplore, dan ScienceDirect. Proses pencarian literatur dilakukan menggunakan kombinasi kata kunci seperti 'deep learning', 'readmisi pasien', dan 'prediksi kesehatan' serta mengikuti kerangka PRISMA untuk menyaring studi yang relevan berdasarkan kriteria inklusi dan eksklusi. Hasil penelitian menunjukkan bahwa algoritma Long Short-Term Memory (LSTM) mendominasi dalam menangkap pola temporal dari data Electronic Health Record (EHR), dengan kinerja mencapai Area Under the Curve (AUC) hingga 88,4%. Selain itu, Convolutional Neural Networks (CNN) terbukti efektif untuk menganalisis teks tidak terstruktur, sementara model Transformer menunjukkan potensi dalam menangani dataset berskala besar. Tantangan utama yang ditemukan meliputi ketidakseimbangan data dan heterogenitas data medis, yang dapat mempengaruhi akurasi prediksi. Solusi inovatif seperti federated learning dan Explainable AI (XAI) diusulkan untuk meningkatkan interpretabilitas dan efisiensi algoritma dalam konteks klinis. Penelitian ini memberikan wawasan berharga mengenai potensi dan keterbatasan deep learning dalam prediksi readmisi pasien serta menawarkan rekomendasi strategis untuk pengembangan teknologi kesehatan yang lebih baik.
Analisis RIsiko Keamanan Teknologi Infromasi Pada Instansi Pemerintahan Purbalingga Aprilia, Kharisma; Maghfira, Rahajeng Sasi; Aji, Ranggi Praharaningtyas; Saputra, Dhanar Intan Surya
Journal of Practical Computer Science Vol. 5 No. 2 (2025): November 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v5i2.5960

Abstract

Digital transformation within the governmental sector has accelerated the wide use of information systems for the support of public services and administrative efficiency. However, this development has also introduced serious challenges of information security that are often overlooked by local governments. The purpose of this research is to identify and assess the risk of IT security at Kabupaten Purbalingga’s Department of Communication and Information . The research is to be conducted using the qualitative descriptive approach based on the OCTAVE-S method. Data collection will involve direct observation of IT infrastructure and a thorough interview with the technical personnel responsible for information systems. From the analysis conducted, it can be concluded that DINKOMINFO has serious threats such as defacement attacks, DDoS, and internal vulnerabilities due to the use of weak credentials. Without a strong security policy, these weaknesses will only become more widespread, not much different from the current resource limitations. Therefore, the best solution that can be implemented in the long term is the implementation of a Security Operation Center or SOC, adaptive security policies, and cybersecurity awareness and training. Keyword: Information Security, OCTAVE-S, Local Government, DINKOMINFO, Cyber ​​Risk.
Assessing the Acceptance and Trust in Student Information Systems Through a Modified TAM Perspective Hidayat, Muhammad Taufik Nur; Hariguna, Taqwa; Saputra, Dhanar Intan Surya
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.42324

Abstract

The rapid development of information technology has motivated universities to implement technology-based student information systems to enhance the efficiency and effectiveness of student data management. This research seeks to evaluate acceptance and trust in student information systems at universities using a modified version of the Technology Acceptance Model, incorporating perceived trust as an additional variable. The study involved a sample of 200 active university students, with data analyzed using the structural equation modeling approach. Findings from the analysis show that both perceived usefulness and perceived ease of use significantly impact students’ intention to adopt the system, which in turn influences actual system usage. Additionally, perceived trust emerged as a critical factor in reinforcing both the intention to use and the subsequent actual use of the student information system. The results indicate that the intention to use the system acts as an essential mediator in the relationships between students’ perceptions of usefulness, ease of use, trust, and their actual usage behavior. These results have significant implications for universities aiming to improve the adoption of student information systems. Enhancing user experience, building system trust, and ensuring robust security should be prioritized in the development and refinement of such systems. By focusing on these aspects, institutions can foster higher acceptance and sustained usage, leading to more effective student data management and a better overall educational experience.
PELATIHAN DESAIN GRAFIS DENGAN METODE BERBASIS PROYEK BAGI ANAK BERKEBUTUHAN KHUSUS DI SLBN PURBALINGGA Hermawan, Hellik; Apitiadi, Satyo Dwi; Ferdianto, Dwi Angga; Saputra, Dhanar Intan Surya
Jurnal AbdiMas Nusa Mandiri Vol. 7 No. 1 (2025): Periode April 2025
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v7i1.5903

Abstract

The Graphic Design Training for Children with Special Needs at SLBN Purbalingga is a community service initiative through the Amikom Mitra Masyarakat (AMM) program aimed at improving inclusive education quality. It focuses on developing graphic design skills for students with special needs, helping them become more independent and prepared for future challenges. The program began with an in-depth situational analysis to identify students and the school’s potential and challenges. Structured solutions were implemented through intensive training sessions covering graphic design basics, software usage, and creative, applicable projects. As a result, students showed significant improvement, creating visual projects like posters and becoming more active and motivated. The assessment through the visual design rubric, which includes aspects of composition, color usage, typography, and other technical skills, shows a higher average score at the end of the learning period compared to the initial scores. Teachers reported increased student participation and enthusiasm. Evaluations with students, teachers, and the Amikom Purwokerto team confirmed the program’s effectiveness, highlighted areas for improvement, and provided feedback for future initiatives. This comprehensive, project-based approach not only enhances students technical skills but also strengthens the foundation of competitive, effective inclusive education in Purbalingga. The initiative aims to deliver lasting positive impacts, equipping students to face future challenges while supporting a sustainable, inclusive educational environment.
PELATIHAN LITERASI DIGITAL BAGI GURU SD N 1 TOYAREKA GUNA MENDUKUNG PEMBELAJARAN KURIKULUM MERDEKA Mustofa, Dinar; Darmayanti, Irma; Pramono, Agus; Saputra, Dhanar Intan Surya; Kusuma, Velizha Sandy; Apitiadi, Satyo Dwi
Jurnal AbdiMas Nusa Mandiri Vol. 7 No. 1 (2025): Periode April 2025
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v7i1.5949

Abstract

This community service project aims to enhance the digital literacy of teachers at SD Negeri 1 Toyareka in supporting the implementation of the Merdeka Curriculum. One of the challenges teachers face is their limited ability to utilize digital technology and artificial intelligence (AI) to create interactive and relevant learning experiences for students. The program was conducted through socialization, digital literacy training, AI technology introduction, and continuous mentoring and evaluation. During the training, teachers were provided with insights into digital platforms that can be used in the teaching and learning process, as well as AI applications to assist in student data analysis and the creation of adaptive learning materials. The training results show a significant improvement in teachers' skills in using digital technology and AI, particularly in creating more personalized and compelling learning experiences. Teachers could utilize digital tools to manage their classrooms more efficiently and use AI to personalize learning based on students' needs. The program evaluation revealed that teachers felt more confident using technology to support teaching and learning. The sustainability of this program is ensured through regular mentoring and assessment, as well as plans for further training to keep teachers updated with rapidly evolving technologies. This initiative is expected to be a model for developing digital literacy in other schools.
Implementasi Point – to – Point Protocol Over Ethernet pada Jaringan RT/RW Net Menggunakan Mikrotik RB750 GR3 Mustofa, Dinar; Mahendra, Duta Aditya; Saputra, Dhanar Intan Surya; Amin, M. Syaiful
Jurnal Ilmiah IT CIDA Vol 8 No 2: Desember 2022
Publisher : STMIK AMIKOM Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55635/jic.v8i2.169

Abstract

Desa Karanganyar merupakan salah satu desa yang terletak di Kecamatan Patikraja, Banyumas dengan lokasi yang berada di sekitar bantaran sungai dan dekat dengan hutan. Kondisi tersebut menyebabkan penyebaran jaringan internet di daerah tersebut menjadi tidak merata, sehingga masyarakat harus membeli kuota yang terbatas dengan harga yang cukup mahal untuk dapat mengakses internet. Point to Point Protocol over Ethernet (PPPoE) adalah protocol jaringan untuk mengenkapsulasi Point-to-Point Protocol (PPP) frame dalam frame ethernet. PPPoE digunakan untuk    membangun jaringan VPN dimana koneksinya menggunakan  point to point tunnel. PPPoE sebagai sebuah protocol tunneling, yang memiliki keamanan yang sangat baik, membutuhkan beberapa authentikasi untuk bisa terhubung ke server. Dari permasalahan di atas, maka penulis mencoba memberikan solusi yaitu dengan mengimplementasikan management bandwidth dengan Point to Point Protocol over Ethernet (PPPoE) pada jaringan RT/RW net menggunakan mikrotik RB750Gr3. Metode yang digunakan dalam Implementasi PPPoE pada jaringan RT/RW Net menggunakan Mikrotik RB750Gr3 adalah metode Action Research (AR). Hasil  dari penelitian  Implementasi Point – to – Point Protocol Over Ethernet (PPPoE) pada Jaringan RT/RW Net Menggunakan Mikrotik RB750 GR3, menunjukkan performa internet pada Desa Karanganyar sudah terkoneksi dan tersalurkan dengan baik. Kinerja   PPPoE   tunnel   lebih   unggul   dengan delay yang relative rendah. Hal ini mendukung kinerja pada Desa tersebut, melihat kondisi area geografis pada Desa. 
Utilization of Generative AI in High School Learning: Opportunities and Challenges Analysis Saputra, Dhanar Intan Surya; Riyanto; Darmayanti, Irma; Kuncoro, Adam Prayogo
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.494

Abstract

Study This aims to analyze opportunities and challenges in implementing generative AI technologies, such as ChatGPT and DeepSeek, in learning at the level of intermediate school in Indonesia. The approach is qualitative and descriptive based on studies, cases, and research. This is to study document policy, report education, and literature exploring readiness source power, integration processes and impacts implementation technology. The research results show that generative AI potential increases students’ motivation and participation, primarily through learning media interactive and personalized material. However, there are obstacles in form gap in digital access and lack of it related to teacher training AI technology. In conclusion, the success of the implementation of generative AI relies heavily on equity digital infrastructure, training sustainable for power educators, and proper supervision of policies. Novelty from study This lies in mapping integrative opportunities and obstacles to generative AI implementation in context education middle in Indonesia. Recommendations policy covering improvement of digital access nationally, compilation guidelines on using AI in schools, and periodic evaluation of the effectiveness of AI-based learning.
Co-Authors Adam Prayogo Kuncoro Aditya Pratama Afrig Aminuddin Agus Pramono Al Haura, Adzkiyatun Nisa Alamsyah, Rizki Albana, Ilham Amalina, Siti Nahla Amin, M. Syaiful Ammar Fauzan, Ammar Andik Wijanarko, Andik Andina, Anisa Nur Anditya Putri, Shifa Anisa, Kholifatun ANNISA HANDAYANI Apitiadi, Satyo Dwi Aprilia, Kharisma Arief Adhy Kurniawan Arsi, Primandani Baetisalamah, Nadiva Amelia Berlilana Berlilana Dewi Cantika, Nourma Islam Diningrum, Dwi Fatma Efendi, Alvin Junio Ilham Eldas Puspita Rini, Eldas Puspita Ely Purnawati, Ely Fadly Yashari Soumena Fariha, Zulfia Nur Ferdianto, Dwi Angga Hafshah, Luqyana Nida Hellik Hermawan Hendra Sudarso Hidayat, Muhammad Taufik Nur Hiiyatin, Dewi LaeIa I Putu Dody Suarnatha Ilham, Fatah Imam Tahyudin Indarto, Debi Iriane, Rara Irma Darmayanti Junianto, Haris Khoirudin, Muhamad Affan Kuat Indartono Kusuma, Bagus Adhi Kusuma, Velizha S Kusuma, Velizha Sandy Maghfira, Rahajeng Sasi Mahardika, Fajar Mahendra, Duta Aditya Marhalatun, Viva Miftahus Surur, Miftahus Muhammad Afif Muliasari Pinilih, Muliasari Muratno, Muratno Murjiatiningsih, Lilis Mustofa, Dinar Najibulloh, Imam Kharits Nandang Hermanto Nanjar, Agi Nugroho, Bagus Aji Nur Hasanah Nuraini, Eka Nurul Hidayati Pandega, Dimas Marsus Prayoga, Agung Priangga, Melaya Puji Hastuti Pujianto , Dimas Eko Purwadi Purwadi Puspitaningrum, Indar Rahayu, Dania Gusmi Rahman Rosyidi Ramadhan, Muhammad Bintang Ranggi Praharaningtyas Aji Riesna, Deby Mega Rizkia Riny, Riny Riyanto Riyanto Riyanto Rujianto Eko Saputro Saekhu, Ahmad Saputra, Alfin Nur Aziz Saputri, Febryka Wulan Saputri, Inka Setiawan, Endri Sitaresmi Wahyu Handani, Sitaresmi Wahyu Sri Widiastuti, Sri Subarkah, Pungkas Taqwa Hariguna Udianti, Asih Utomo, Anwar Tri Winanto, Deden Wirasto, Anggit Wiwik Handayani Yusmedi Nurfaizal Zhafira, Alya