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All Journal Journal Industrial Servicess Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Informatics for Educators and Professional : Journal of Informatics Faktor Exacta Indonesian Journal of Artificial Intelligence and Data Mining JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Journal of Information System, Applied, Management, Accounting and Research EVOLUSI : Jurnal Sains dan Manajemen E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi INTI Nusa Mandiri Indonesian Journal for Social Responsibility Jurnal Infortech Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Vivabio : Jurnal Pengabdian Multidisiplin Majalah Ilmiah UPI YPTK Abditeknika - Jurnal Pengabdian Kepada Masyarakat Akasia: Artikel Ilmiah Sistem Informasi Akuntansi Jurnal Abdimas Ekonomi dan Bisnis Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Journal of Dinda : Data Science, Information Technology, and Data Analytics Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) Jurnal Pengabdian Kreatif Cemerlang Indonesia Journal of Computer Science Contributions (Jucosco) Jurnal Pengabdian Kepada Masyarakat Harmony Philosophy: International Journal of Islamic Religious Studies and Sharia Jurnal Sistem Informasi dan Teknologi Informasi
Andi Saryoko
Universitas Nusa Mandiri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Pelatihan Powerpoint dalam Pembelajaran pada POKJA TK/TP AL QUR’AN Tanjung Priok Hendri, Hendri; Susanti, Melan; Saryoko, Andi; Khasanah, Nurul
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 1 (2023): Januari 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ba10c826

Abstract

Power Point is an application from Microsoft which is intended as a media presentation that functions to make it easier for users to organize the material to be delivered. Power point can make the audience better understand the presentation material being displayed. POKJA TK/TP AL QUR'AN is an educational forum that has not utilized Power Point facilities in its activities. In learning, the management of POKJA TK/TP AL QUR'AN experienced several obstacles, namely: they did not understand how to attract students' interest so that they could follow the learning process well and the limitations of the administrators of POKJA TK/TP AL QUR'AN in utilizing existing facilities on Microsoft Power Point, namely displaying videos or images that can support the delivery of material or teaching materials. This community service activity aims to apply and utilize Power Point in conveying the contents of learning materials. The methods used are the tutorial method, the question and answer method and the practice method directly using a laptop and a training module guide. The planned output targets for community service activities are publishing press releases in online media and activity videos as a form of publication and documentation of activities. The result of this activity is an increase in abilities and skills in delivering teaching materials so that they can help administrators and teaching staff of POKJA TK/TP AL Al Qur'an in attracting students' interest so they can follow the learning process.
SIKUJA: Sistem Informasi Dokumen Belanja Untuk Meningkatkan Akuntabilitas DPMPTSP Kabupaten Karawang Putri, Ayu Berlianda; Saryoko, Andi
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2023

Abstract

Pengelolaan dokumen belanja di instansi pemerintahan, khususnya dalam penyusunan Surat Pertanggungjawaban (SPJ), memiliki peran penting dalam menjamin transparansi dan akuntabilitas keuangan. Namun, pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kabupaten Karawang, proses pencatatan belanja dan penyusunan SPJ masih dilakukan secara manual, yang berpotensi menimbulkan kesalahan pencatatan, keterlambatan pelaporan, dan kesulitan dalam pelacakan dokumen. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi berbasis web bernama SIKUJA (Sistem Informasi Dokumen Belanja) guna mempermudah proses pengelolaan belanja dan penyusunan SPJ. Metode pengembangan sistem yang digunakan adalah model waterfall, melalui tahapan perencanaan, analisis, desain, implementasi, dan pengujian. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan studi dokumen. Sistem dibangun menggunakan framework CodeIgniter 3 dan dirancang dengan tiga peran pengguna utama, yaitu penyedia, pengguna anggaran, dan bendahara, serta dilengkapi fitur seperti input belanja, pencatatan pembayaran, unggah bukti transaksi, dan unduh dokumen SPJ. Hasil penelitian menunjukkan bahwa SIKUJA mampu mengotomatisasi proses penyusunan dokumen SPJ secara lebih efektif, mengurangi ketergantungan terhadap proses manual, serta meningkatkan efisiensi, ketepatan, dan akuntabilitas pelaporan belanja dinas. Sistem ini diharapkan dapat mendukung tata kelola keuangan yang lebih baik di lingkungan DPMPTSP Kabupaten Karawang.
YOLO MODEL DETECTION OF STUDENT NEATNESS BASED ON DEEP LEARNING: A SYSTEMTIC LITERATURE REVIEW Saryoko, Andi; Aziz, Faruq
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6986

Abstract

Maintaining proper student neatness (uniform compliance, grooming standards, and posture) is essential for fostering disciplined learning environments. While traditional monitoring methods are labor-intensive and subjective, computer vision-based solutions leveraging You Only Look Once (YOLO) architectures offer promising alternatives. The objective of this study is to evaluate YOLO optimization techniques for student neatness detection, identify key challenges, and propose relevant future research directions. This systematic review evaluates 28 recent studies (2021-2024) to analyze optimization techniques for YOLO models in student neatness detection applications. Key findings demonstrate that attention-enhanced variants (e.g., YOLOv10-MSAM) achieve 87.0% mAP@0.5, while pruning and quantization methods enable real-time processing (50-130 FPS) on edge devices like Jetson Orin. The analysis reveals three critical challenges: (1) occlusion handling in crowded classrooms (10-15% false negatives), (2) lighting/background variability, and (3) ethical concerns regarding facial recognition. Emerging solutions include hybrid vision-language models for explainable detection and federated learning for privacy preservation. The review proposes a taxonomy of optimization approaches categorizing architectural modifications (attention mechanisms, lightweight backbones), data augmentation strategies (GAN-based synthesis), and deployment techniques (TensorRT acceleration). Future research directions emphasize multi-modal sensor fusion and domain adaptation for cross-institutional generalization. This work provides educators and AI developers with evidence-based guidelines for implementing automated neatness monitoring systems while addressing practical constraints in educational settings.
PKM PENDAMPINGAN DIGITALISASI SEKOLAH SMPIT AJIMUTU GLOBAL INSANI TAMBUN UTARA-BEKASI BERBASIS ARTIFICIAL INTELLIGENCE Saryoko, Andi; Aziz, Faruq; Elyana, Instianti; Rizky, Mhd; Junior, Mario Christian
Jurnal AbdiMas Nusa Mandiri Vol. 7 No. 2 (2025): Periode Oktober 2025
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v7i2.7399

Abstract

Digital transformation in education is inevitable; however, many schools such as SMPIT Ajimutu Global Insani still face challenges in adopting technology. The main issue lies in the manual learning evaluation process, which leads to teacher time inefficiency and limited question variation, ultimately affecting learning quality. This community service program aims to bridge the digital gap by implementing an Artificial Intelligence (AI)-based solution. The novelty of this initiative lies in the use of the Question Maker Application (QUMAA)—an innovative tool that automates question generation and includes a question difficulty analysis feature, offering a comprehensive approach to digitizing school evaluation systems. The program was carried out through a participatory method consisting of five stages: needs assessment, application development, intensive training and mentoring for teachers, implementation and evaluation, as well as monitoring and sustainability planning. The results showed that the learning evaluation process was successfully digitized, with teachers’ ability to understand and use AI increasing by more than 50%, and question preparation time reduced by up to 50%. This program not only facilitated technology transfer but also empowered teachers and strengthened the school institution. The implementation of the AI-based QUMAA proved effective in improving efficiency and quality in learning evaluation. Furthermore, this model can be replicated in other schools as a concrete contribution to achieving the SDGs in education, emphasizing the need for ongoing support and funding to sustain digital innovation in the education sector.
AI-DRIVEN ACADEMIC SCREENING: PENGEMBANGAN SISTEM REVIEWER OTOMATIS BERBASIS AI AGENT Riyanto, Verry; Saryoko, Andi; Anton; Mazia, Lia; Nurmalasari; Mardiana, Tati
INTI Nusa Mandiri Vol. 20 No. 2 (2026): INTI Periode Februari 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.6793

Abstract

An artificial intelligence (AI)-based research proposal submission system is an innovative solution to improve efficiency and transparency in the academic selection process. This study develops a web-based system using the Laravel framework integrated with AI Agent to automatically review the title and abstract of lecturers' research proposals. This system is designed with a hybrid training approach, combining Supervised Learning (labeled data) and Reinforcement Learning from Human Feedback (RLHF), and utilizing Natural Language Processing (NLP) techniques for semantic analysis. The implementation results show that the system is able to evaluate research proposals with high accuracy, including checking title-abstract alignment, identifying problem backgrounds, and assessing originality. The system also provides real-time statistics and evaluation records, supporting more objective decision making. The contribution of the research lies in the use of AI to automate academic processes, reduce the workload of human reviewers, and improve the integrity of the research roadmap
Pelatihan AI untuk Optimalisasi Kegiatan Yayasan IRMA Menuju Era Transformasi Digital Taopik Hidayat; Syarah Seimahuira; Andi Saryoko; Retno Sari; Bagas Eka Saputra; Naufal Muzakki Ramadhan; Satrio Budi Santoso
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.6462

Abstract

The rapid advancement of Artificial Intelligence (AI) technology is significantly influencing various sectors, including government and industry, by simplifying tasks traditionally performed by humans and creating new opportunities. The objective of this community service initiative was to enhance the technological skills of the caretakers at the Yayasan Santunan Yatim Piatu dan Sosial IRMA in South Jakarta, enabling them to utilize AI for daily activities and organizational needs. This program employed a three-step approach: preparation, implementation, and evaluation. In the preparation phase, challenges faced by the organization in adopting AI were identified, and necessary permissions were secured. The implementation phase involved interactive workshops focusing on computer usage and AI applications, fostering participant engagement through discussions and hands-on activities. Monitoring and evaluation were conducted using questionnaires to assess participant understanding and gather feedback on the training's effectiveness. Results indicated a marked improvement in participants' AI skills, enhancing their organizational capabilities and contributing positively to community development.
Reimagining Islamic Political Philosophy for Pluralistic Democracies: Toward an Inclusive Sharia-Based Governance Model Yoga Adi Prayogi; Andi Saryoko; Fadli Rais
Harmony Philosophy: International Journal of Islamic Religious Studies and Sharia Vol. 1 No. 2 (2024): May: Harmony Philosophy: International Journal of Islamic Religious Studies and
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/harmonyphilosophy.v1i2.339

Abstract

This research explores the integration of Islamic political philosophy with modern democratic frameworks, proposing an inclusive Sharia-based governance model that aligns Islamic values with contemporary democratic practices. The relationship between Islam and democracy is complex, with debates surrounding their compatibility and the potential conflicts between religious principles and democratic ideals. The study identifies key Sharia principles such as justice (adl), consultation (shura), and participatory equality, which can contribute to more inclusive and democratic governance systems. The literature review highlights both traditional and contemporary interpretations of Sharia in governance, focusing on how Sharia-based principles can support inclusivity, fairness, and public participation in pluralistic societies. A comparative analysis of traditional Islamic political models reveals that while these models often emphasize hierarchical structures and restrict participation, the proposed inclusive model encourages broader civic engagement, social justice, and equal representation for all citizens. The paper also examines the challenges of implementing such a model in modern democratic settings, addressing concerns over the integration of religious principles with secular governance frameworks. Furthermore, the study emphasizes the importance of adapting Sharia governance to the social and political realities of modern multicultural societies. The potential impact of the proposed model is significant, fostering fairer, more just, and inclusive political frameworks within pluralistic democracies. The paper concludes with recommendations for further research on the practical application of Sharia-based governance, particularly in diverse democratic contexts, and calls for standardized frameworks to ensure consistency and accountability in its implementation.
YOLO MODEL DETECTION OF STUDENT NEATNESS BASED ON DEEP LEARNING: A SYSTEMTIC LITERATURE REVIEW Andi Saryoko; Faruq Aziz
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6986

Abstract

Maintaining proper student neatness (uniform compliance, grooming standards, and posture) is essential for fostering disciplined learning environments. While traditional monitoring methods are labor-intensive and subjective, computer vision-based solutions leveraging You Only Look Once (YOLO) architectures offer promising alternatives. The objective of this study is to evaluate YOLO optimization techniques for student neatness detection, identify key challenges, and propose relevant future research directions. This systematic review evaluates 28 recent studies (2021-2024) to analyze optimization techniques for YOLO models in student neatness detection applications. Key findings demonstrate that attention-enhanced variants (e.g., YOLOv10-MSAM) achieve 87.0% mAP@0.5, while pruning and quantization methods enable real-time processing (50-130 FPS) on edge devices like Jetson Orin. The analysis reveals three critical challenges: (1) occlusion handling in crowded classrooms (10-15% false negatives), (2) lighting/background variability, and (3) ethical concerns regarding facial recognition. Emerging solutions include hybrid vision-language models for explainable detection and federated learning for privacy preservation. The review proposes a taxonomy of optimization approaches categorizing architectural modifications (attention mechanisms, lightweight backbones), data augmentation strategies (GAN-based synthesis), and deployment techniques (TensorRT acceleration). Future research directions emphasize multi-modal sensor fusion and domain adaptation for cross-institutional generalization. This work provides educators and AI developers with evidence-based guidelines for implementing automated neatness monitoring systems while addressing practical constraints in educational settings.
AI-BASED CLASSIFICATION OF SCHOOL STUDENT NEATNESS USING CONVOLUTIONAL NEURAL NETWORK (CNN) Andi Saryoko; Hanna Rizkia
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.7182

Abstract

The neatness of students in Scouting uniforms is a form of implementation of discipline that reflects compliance with school rules. At SDIT Ajimutu Global Insani, the uniform attributes assessed include the completeness of the Scout uniform. The neatness in wearing these attributes greatly supports the creation of an orderly and conducive learning environment. This study aims to classify the level of neatness of Scouting uniforms automatically using an artificial intelligence-based approach. The data used are in the form of student images recorded using a Canon EOS 60D DSLR camera, with a total data of 510 images, consisting of 88 female students and 82 male students. The method used in this study is Convolutional Neural Network (CNN) with a transfer learning approach using the MobileNetV2 architecture with Transfer Learning and data augmentation techniques to improve model accuracy. The system was developed to classify uniform neatness into two categories: neat and untidy. The test results show that the model is able to classify with an accuracy level of 73%, with precision, recall, and f1-score having the same results with an accuracy of 73%. These findings indicate that the developed system can help teachers and schools in evaluating student discipline objectively and continuously. Thus, this study contributes to improving the quality of education through the habituation of orderly behavior integrated with technology.
Co-Authors Abdul Aziz Agus Junadi Agus Junaidi Agustiani, Sarifah Ali Mustopa, Ali Andini, Siwi Putri Anggraeni Putri, Sukmawati Anton Ardiansyah Arfhan Prasetyo Arie Kurniawan Aryo Tunjung Kusumo ASEP MULYANA Aziz, Faruq Bagas Eka Saputra DANDI YUSBIAL BAYANI Daryati, Elisabeth Isti Dea Amelia Desty Anggraeni DHARMA WINATA Dicky Kurniawan, Muhammad Donna Setiawati Dwiantoro, Tino Dwiyogo, Santos Winarso Eliyana, Instianti Eni Pudjiarti Erna, Maria Agustina Evita Fitri Fadli Rais Faruq Aziz Fitrayuda Rivaldy Fitri, Evita Ganda Wijaya Ganda Wijaya Ginanjar, Syaiful Gustin Setyaningsih Hadi Sukmana, Sulaeman Hanna Rizkia Haryani Hendri Hendri Hendri Hendri Hendri Hendri Ida Ayu Putu Sri Widnyani Instianti Elyana, Instianti Irwansyah Saputra Junior, Mario Christian Kresna Ramanda Kurniyawantoro, Kurniyawantoro Kusumo, Aryo Tunjung Lawrence Adi Supriyono Lia Mazia, Lia Lia Nurmalia Linda Marlinda Lutfiyah Lutfiyah Mawadatul Maulidah MEILYNDA TRISIANA Melan Susanti Melan Susanti, Melan Miftahul Janah, Miftahul Mohammad Badrul Muhammad Farhan Muhammad Suparmono Mono Nadiyah Hidayati Naufal Muzakki Ramadhan Nugraha, Siti Nurhasanah Nur Kholis Nurmalasari Nurul Khasanah Panca Saputra, Elin Priyono Priyono Putri, Ayu Berlianda Rahmat Hidayat Rahmat Hidayat Ramadhan, Aditya Rian Retno Sari Retno Sari Retno Sari Retno Sari Reto Sari Riani, Riska Ridwansyah Ridwansyah Ridwansyah Ridwansyah Ridwansyah Ridwansyah Riska Aryanti Rismaya, Siska Rizki Wahyudi Rizky, MHD Rosyda, Susy S.M Santi Winarsih Saeda, Ida Samudi Saputara, Elin Panca Saputra, Bagas Eka Sarah Khairunnisa Budiyanto Sartini Sartini Sartini Sartini Sartini Satrio Budi Santoso Shafar, Rizki Muhammad Sholihin Muttaqin Simanjuntak, Rezin Siswahyudianto Siti Faizah Siti Helmyati Siti Khotimatul Wildah Siti Nurhasanah Nugraha Sopiyan Dalis Sri Rahayu Susafa'ati Susy Rosida Susy Rosyda Susy Rosyida Syara Chintya Dewi Syarah Seimahuira Taopik Hidayat Tati Mardiana, Tati Verry Rianto Verry Riyanto VILSAFA KHOIRUNNISAK Wadu, Novita M Kana Wahyudin Wahyudin Wahyudin Wahyudin Windu Gata Yoga Adi Prayogi Yustin Anggraheni Putri, Yustin Anggraheni