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All Journal Jurnal Kesehatan Medika Saintika Jurnal Sistim Informasi dan Teknologi Jurnal Teknik Informatika Journal of Artificial Intelligence and Digital Business International Education Trend Issues TELL - US JOURNAL Jurnal Ilmu Sosial, Humaniora dan Seni Rechtsnormen Journal of Law West Science Social and Humanities Studies Journal Emerging Technologies in Education Jurnal Pengabdian Masyarakat dan Riset Pendidikan The Indonesian Journal of Computer Science JSTI - Jurnal Sains dan Teknologi Informatika
M. Syahputra
Universitas Syedza Saintika
Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis Syahputra, M; Defit, Sarjon; Sumijan, S
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i1.123

Abstract

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.
Analysis of the Use of IoT in Attendance Management and Productivity Monitoring on Employee Performance and Operational Efficiency in Central Java Manufacturing Industry Budi Sulistiyo Nugroho; M. Syahputra; Amalia Hanifa; Ihsan Werleam; Chevy Herli Sumerli A.
West Science Social and Humanities Studies Vol. 2 No. 10 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i10.1359

Abstract

This study investigates the impact of Internet of Things (IoT) usage in attendance management and productivity monitoring on employee performance and operational efficiency in the manufacturing industry of Central Java. Using a quantitative approach, data were collected from 270 respondents and analyzed with Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results indicate that IoT-driven systems in both attendance management and productivity monitoring have a significant positive effect on employee performance and operational efficiency. Specifically, IoT-enabled attendance management improves workforce accountability and discipline, while productivity monitoring enhances real-time feedback and workflow optimization. These findings highlight the critical role of IoT technology in transforming workforce and operational management in manufacturing, contributing to improved performance and efficiency. The study provides valuable insights for decision-makers in the manufacturing industry regarding the adoption of IoT technologies to enhance competitiveness and operational outcomes.
The Impact of Artificial Intelligence on the Criminal Justice System: Ethical and Legal Challenges Flora, Henny Saida; Xu, Shanshan; Xavier, Murphy; Cale, Woolnough; Syahputra, M.
Rechtsnormen: Journal of Law Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v2i4.1292

Abstract

Background: Artificial Intelligence (AI) is increasingly being integrated into the criminal justice system, promising to enhance efficiency, accuracy, and decision-making. However, the use of AI also raises significant ethical and legal challenges, including concerns about bias, fairness, transparency, and accountability. These challenges necessitate a thorough examination of AI's impact on the criminal justice system to ensure its benefits are realized without compromising ethical and legal standards. Objective: This study aims to evaluate the impact of AI on the criminal justice system, focusing on the ethical and legal challenges it presents. The research seeks to understand how AI technologies are being implemented, their effects on decision-making processes, and the extent to which they adhere to ethical and legal principles. The goal is to identify best practices and propose solutions to mitigate potential risks. Methods: A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews. Quantitative data were collected from 250 criminal justice professionals, measuring their perceptions of AI's impact on various aspects of the justice system. Qualitative interviews with 40 key stakeholders provided deeper insights into the ethical and legal challenges associated with AI integration. Data were analyzed using statistical methods for the surveys and thematic analysis for the interviews. Results: Findings indicate that AI can significantly enhance the efficiency and accuracy of the criminal justice system but also presents substantial ethical and legal challenges. Issues such as algorithmic bias, lack of transparency, and accountability were frequently highlighted. Best practices identified include implementing rigorous validation processes, ensuring transparency in AI decision-making, and establishing clear accountability frameworks. Conclusion: While AI holds significant promise for improving the criminal justice system, addressing ethical and legal challenges is crucial for its successful integration. Implementing best practices can mitigate risks and ensure that AI technologies are used responsibly. Future research should focus on developing comprehensive guidelines and policies to govern the use of AI in the criminal justice system.
The Effect of Digital Literacy, Technological Adoption, and Collaborative Learning on Student Engagement in Business Education Arjang, Arjang; Syahputra, M; Fahruri, Arief; Silva, Dewi
International Education Trend Issues Vol. 2 No. 2 (2024): International Education Trend Issue
Publisher : PT. BATARI EDU CALYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ieti.v2i2.893

Abstract

This study explores the influence of digital literacy, technological adoption, and collaborative learning on student engagement in business education. Utilizing a quantitative research design, data were collected from 300 undergraduate students enrolled in business programs through a structured questionnaire. The analysis employed descriptive statistics, correlation analysis, and multiple regression techniques to investigate the relationships between the variables. The results revealed that digital literacy, technological adoption, and collaborative learning significantly contribute to student engagement, with collaborative learning emerging as the strongest predictor. The findings underscore the importance of enhancing digital literacy and promoting technology use in educational settings, alongside fostering collaborative learning experiences, to improve student engagement in business education. These insights have implications for educators and curriculum designers seeking to create more effective and engaging learning environments.
DEVELOPING ENGLISH LEARNING MATERIAL BY USING WEBSITE FOR MARITIME VOCATIONAL HIGH SCHOOL STUDENTS Aminah, Aminah; Syahputra, M
TELL - US JOURNAL Vol 10, No 4 (2024): Applied Linguistics in the Digital Age and Cultural Context
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/tus.2024.v10i4.8691

Abstract

Technology and economic development raise the importance of English ability for specific fields of work, including Nautical Merchant Vessel. In order to prepare the graduates, Nautical Merchant Vessel department of Maritime Vocational High Schools Padang provides Maritime English subject. In fact, its implementation does not give a significant contribution to improving graduates’ English ability. The learning materials do not fulfill the students’ needs so that learning materials development was carried out through research and development. The research used ADDIE model research procedure. The data was obtained through conducting interviews and spreading questionnaires to students, teachers, and three deck officers and experts. Needs analysis found English skills, teaching methodology, new topics, and language focus which are appropriate for the students. The content then was designed and developed based on learning centered approach which leads the students are not only mastering language knowledge but also content knowledge. The learning materials were presented in printed form and e-learning which supported by attractive illustrations and videos as the implementation of website. It can be accessed for inside and outside the classroom so that the students can keep interaction during their learning anytime and anywhere. This developed learning material has been assessed as valid and recommended by experts through validation judgment. 
The Future of AR-Driven Immersive Classrooms: Pedagogical Impacts for the Next Generation Sahib, Abdul; Waahib, Achmad Nashrul; Syahputra, M.; Aminah, Aminah; Prastawa, Singgih
Journal Emerging Technologies in Education Vol. 2 No. 5 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v2i5.1364

Abstract

Background. The integration of Augmented Reality (AR) technology in educational environments has the potential to revolutionize classroom dynamics by creating immersive, interactive learning experiences. This research is based on the growing need to explore how AR-driven classrooms can enhance pedagogy and cater to the learning styles of the next generation. AR offers unique opportunities to create more engaging, personalized, and collaborative learning environments, aligning with the educational goals of the 21st century.. Purpose. This research investigates the pedagogical impacts of AR in immersive classrooms, explicitly focusing on student engagement, knowledge retention, and collaborative learning. It aims to evaluate how AR can transform traditional teaching methods and better prepare students for future technological landscapes. Method. The research employs a mixed-methods approach, combining qualitative and quantitative data collection techniques. Surveys and interviews were conducted with educators and students in AR-enabled classrooms, and performance data were analyzed to assess learning outcomes. AR applications across various subjects, including science, history, and the arts, were evaluated to determine their effectiveness in enhancing the learning experience. Results. Findings indicate that AR significantly improves student engagement, increases knowledge retention, and fosters greater student collaboration. The immersive nature of AR motivates students to participate actively in lessons, creating deeper connections with the content. Conclusion. In conclusion, AR-driven immersive classrooms can potentially reshape educational practices, offering new pathways for experiential learning. The integration of AR technology into classrooms holds promise for the future of education by aligning pedagogical approaches with the needs of the digital generation.
The Role of AI in Scaling Global Access to Quality Education in Low-Resource Regions Hanum, Gilang Kartika; Syahputra, M.; Suryono, Wiwid; Rukiyanto, Bernardus Agus; Hariyadi, Slamet
Journal Emerging Technologies in Education Vol. 2 No. 5 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v2i5.1366

Abstract

Background. In the digital age, emojis have evolved from simple pictographs into a global communication tool, transcending language barriers. As the world seeks to scale access to quality education, particularly in low-resource regions, artificial intelligence (AI) has emerged as a key enabler in overcoming these barriers. The role of emojis in enhancing digital literacy and educational communication in these regions remains underexplored. Purpose. This study investigates the potential of emojis, supported by AI-driven systems, to improve educational accessibility and engagement in low-resource areas. Method. The research aims to explore how AI can leverage emojis as a universal language tool to enhance learning experiences and bridge communication gaps in diverse linguistic and cultural contexts. A mixed-method approach was employed, combining qualitative interviews with educators and students, and quantitative analysis of educational platforms utilizing emoji-based learning interfaces. The study focused on low-resource regions where traditional educational tools are less accessible. Results. Results indicated that emoji-based communication, when integrated with AI-driven educational tools, significantly improved engagement and comprehension among learners, particularly in multilingual environments. Students reported a deeper connection to content and higher motivation to learn, while educators found it easier to communicate complex concepts using visual aids like emojis. The study suggests that AI-supported emoji language can be a scalable solution for improving educational access in underserved regions. Conclusion. In conclusion, the study suggests that adaptive learning algorithms In conclusion, the findings highlight the potential of AI and emojis to revolutionize educational communication in low-resource areas. By leveraging emojis as a universal language, AI can contribute to narrowing the global education gap and fostering inclusive learning.
‘Story Bird’ As A Platform For Writing Classroom Aminah, Aminah; Syahputra, M.
Jurnal Ilmu Sosial, Humaniora dan Seni Vol. 1 No. 4 (2023): Januari - Februari
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jishs.v1i4.748

Abstract

Writing is a process of transferring your ideas in written form. It is not an easy thing to do because there are some rules that we should follow in order to make our messages deliver to the reader. The aim of this study is to investigate the use of Story Bird application in teaching writing. This research belongs to descriptive library research by analysis the content of documents. It can be seen that storybird as a web 2.0 tool is really appropriate to use in writing classroom. It offers some advantages including the allowing collaborative work, easy to organize work, allowing students to publish their work that can increase their motivation to write. This research is recommended to use in teaching writing.
Metode Multi-Criteria Decision Making (MCDM) untuk Rancang Bangun Sistem Informasi Pengambilan Keputusan Rekrutmen Dosen Unggul berbasis Web Hadi, Abrar; M. Syahputra; Khair, Rizaldy
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4496

Abstract

Excellent Lecturers are human resources (HR) that are very necessary in the world of education so that they can educate students to become superior human resources. Apart from that, all universities in Indonesia play an active role in improving the quality of education. One important factor that determines the quality of education in higher education is the quality of the lecturers who teach. Excellent lecturers are lecturers who are sought after and needed by all universities. However, in reality, the lecturer recruitment process in educational institutions often experiences obstacles, such as inaccurate decisions, errors in decision making, and late decision making. This can affect the quality of education provided and the effectiveness of the educational institution itself. Therefore, selecting superior and qualified lecturers is very important. So, we need a decision support system to help the recruitment process for superior lecturers more effectively and efficiently. Manual decision making in the recruitment process is considered less objective and can result in decisions that are not in accordance with wishes. The Multi-Criteria Decision Making (MCDM) method is a method that can be used to assist decision making in deciding which superior lecturers to recruit. The urgency of this research is to help make decisions effectively and efficiently. The aim of this research is to build a decision support system for the lecturer recruitment process using the web-based Multi-Criteria Decision Making (MCDM) method.
Tinjauan Pustaka Tentang Peran Basis Data Dalam Manajemen Informasi Kesehatan Digital Yeni, Anita Citra; Syahputra, M.
Jurnal Kesehatan Medika Saintika Vol 16, No 1 (2025): Juni 2025
Publisher : Stikes Syedza Saintika Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30633/jkms.v16i1.3261

Abstract

Perkembangan teknologi informasi yang pesat telah membawa perubahan besar di berbagai bidang, termasuk dalam dunia kesehatan. Salah satu bentuk perubahan tersebut adalah munculnya sistem informasi kesehatan digital yang berfungsi untuk mempermudah proses pengelolaan data dan layanan kesehatan. Dalam sistem ini, basis data menjadi komponen utama yang berperan dalam menyimpan, mengolah, dan menyediakan informasi secara cepat dan akurat. Penulisan ini merupakan tinjauan pustaka yang bertujuan untuk memahami lebih dalam bagaimana peran basis data dalam mendukung manajemen informasi kesehatan digital. Melalui pengumpulan dan analisis berbagai literatur, kajian ini membahas beberapa aspek penting seperti struktur basis data, keamanan data pasien, integrasi antar sistem informasi, serta kemudahan dalam mengakses data oleh pihak-pihak yang berwenang, seperti tenaga medis dan manajemen rumah sakit. Hasil kajian menunjukkan bahwa penggunaan basis data yang baik dan terstruktur dapat meningkatkan efisiensi kerja, mempercepat pengambilan keputusan klinis, serta mendukung peningkatan kualitas layanan kesehatan secara keseluruhan. Selain itu, sistem yang terintegrasi juga memudahkan koordinasi antar bagian dalam sebuah institusi kesehatan, seperti antara bagian administrasi, laboratorium, dan dokter. Namun demikian, ada beberapa tantangan yang masih sering ditemui dalam implementasi basis data di sistem kesehatan digital, seperti masalah interoperabilitas antar platform, perlindungan dan privasi data pasien, serta belum adanya standar data yang seragam di setiap fasilitas kesehatan. Oleh karena itu, penting bagi pihak pengelola dan pengembang sistem informasi kesehatan untuk memahami dan menerapkan konsep basis data dengan baik agar dapat menciptakan sistem yang andal, efisien, dan sesuai dengan kebutuhan di lapangan. Dengan pengelolaan basis data yang optimal, sistem informasi kesehatan digital diharapkan mampu menjadi solusi untuk meningkatkan pelayanan kesehatan di era modern ini.
Co-Authors Abrar Hadi Amalia Hanifa Aminah Anyan Arief Fahruri Arjang, Arjang Budi Sulistiyo Nugroho Cale, Woolnough Chevy Herli Sumerli Dian Wahyuningsih Fatmawati Sabur Fauzi, Dede Giovani Hanifa, Amalia Hanum, Gilang Kartika Henny Saida Flora Ihsan Werleam Mohammad Fathoni Nandra, Nandra Nurjanna Ladjin Rifky Lana Rahardian Rizaldy Khair Rukiyanto Rukiyanto, Rukiyanto Rusdianto Sahib, Abdul Sari, Imrah Sarjon Defit Silva, Dewi Silvia Angraini Singgih Prastawa Siti Kholidah Marbun Slamet Hariyadi Sri Widiastuti Sulaiman, Akbar Sulrieni, Ilma Nuria Sumijan, S Suryono, Wiwid Syahputra, M Trimey Liria Hutauruk Waahib, Achmad Nashrul Werleam, Ihsan Xavier, Murphy Xu, Shanshan Yeni, Anita Citra