Article Per Year (5 Year)
p-Index From 2020 - 2025
2.837
P-Index
This Author published in this journals
All Journal International Journal of Advances in Intelligent Informatics jurnal Teknologi Informasi Magister International Journal of Artificial Intelligence Research KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian Dharma Wacana Journal of Research in Social Science and Humanities International Journal of Advanced Science and Computer Applications Jurnal Masyarakat Madani Indonesia Jurnal Alih Teknologi Sistem Informasi (JATSI)
Nurdiyanto, Heri
Pendidikan Teknologi Dan Kejuruan Universitas Negeri Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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 Medicine & Pharmacology Public Health Social Sciences Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
The problem of solid waste: origins, composition, disposal, recycling, and reusing Ibrahim Khalid; Sadiq Ullah; Iqbal Saeed Umar; Heri Nurdiyanto
International Journal of Advanced Science and Computer Applications Vol. 1 No. 1: March 2022
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.352 KB) | DOI: 10.47679/ijasca.v1i1.6

Abstract

Solid waste disposal is a major challenge in many industrialized and developing nations, both in metropolitan regions as well as rural ones. The collection and disposal of municipal solid waste (MSW) is a serious issue facing metropolitan areas in many nations today. An effective MSW management strategy must satisfy all of these criteria: financial viability; technical feasibility; social and legal acceptability; and ecological friendliness. Small and large cities alike have a major difficulty in dealing with solid waste management. One of the current study topics is the valuation of food organic waste. Existing waste disposal methods include the typical landfill, incineration, composting, and other methods of handling solid waste. Composting and anaerobic digestion have traditionally been the most widely employed methods for the treatment and exploitation of the organic part of MSW (AD). The amount of organic solid waste (OSW) being generated globally is rising at an astronomical rate. Agricultural waste, domestic food waste, human and animal wastes, etc. comprise the majority of OSW. They're often used as animal feed, disposed of in landfills, or burnt. OAWs are made up of protein-, mineral-, and sugar-rich components that may be employed as substrates or raw materials in other processes.
A contribution spanning three time periods offered by artificial intelligence and synthetic biology Diaconescu Ada Sven; Francesco Bellman; Heri Nurdiyanto
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.348

Abstract

The field of synthetic biology benefits significantly from the application of artificial intelligence. I'd want to make three suggestions, which all have something to do with the past, the present, and the future of artificial intelligence. The works of Turing and von Neumann in biology and artificial systems from the past are exciting to investigate within the new framework of synthetic biology, particularly regarding the concepts of self-modification and self-replication as well as their links to the emergence and the bottom-up approach. The ongoing epistemological investigation into the emergence and the research being conducted on swarm intelligence, superorganisms, and biologically inspired cognitive architecture may result in discoveries on the potential uses of synthetic biology to explain mental processes. Finally, the current discussion on the future of artificial intelligence and the rise of superintelligence may point to some research trends for the future of synthetic biology and help to better define the boundary of concepts such as "life," "cognition," "artificial," and "natural," as well as their interconnections in theoretical synthetic biology. In addition, the rise of superintelligence may point to some research trends for the future of synthetic biology
Data Mining Pengelompokkan Nilai untuk Menentukan Minat Mata Pelajaran pada Siswa SMA Negeri 1 Kota Gajah Irfan Setiawan; Heri Nurdiyanto
Jurnal Teknologi Informatika dan Komputer Vol 9, No 1 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i1.1352

Abstract

Pilihan minat mata pelajaran Sekolah Menengah Atas merupakan usaha peningkatan kualitas pendidikan yang langsung berkenaan dengan siswa sebagai salah satu bagian dari peningkatan sumber daya mausia (SDM). Pemilihan minat mata pelajaran yang dilakukan selama ini mempunyai banyak kelemahan, antara lain berdasarkan keinginan siswa tanpa melihat latar belakang nilai akademisnya dan tidak ada acuan yang yang jelas untuk melakukan pengelompokkan data nilai siswa. Untuk menyelesaikan permasalahan tersebut, maka dibuat sebuah sistem pengelompokan nilai siswa pada pilihan minat mata pelajaran dengan menerapkan salah satu metode Clustering. Algoritma yang digunakan adalah Algoritma K-Means untuk mengidentifikasi objek yang serupa dengan memperhatikan beberapa kriteria. Dengan demikian hasil dari pengelompokan yang telah dirancang akan membantu pihak SMAN 1 Kota Gajah dalam proses pengelompokan nilai siswa untuk pilihan minat mata pelajaran yang sesuai dengan kriteria, sehinga pengelompokan dapat dilakukan lebih cepat, tepat dan akurat serta terhindar dari kesalahan.
Meningkatkan Kemampuan Microsoft Excel Siswa SMKN 1 Sekampung Dengan Workshop Tri Aristi Saputri; Usep Saprudin; Budi Sutomo; Febri Sugandi; Untoro Apsiswanto; Muhammad Adie Syaputra; Sulistiyanto Sulistiyanto; Heri Nurdiyanto
Jurnal Pengabdian Dharma Wacana Vol 4, No 1 (2023): Jurnal Pengabdian Dharma Wacana
Publisher : Yayasan Pendidikan dan Kebudayaan Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37295/jpdw.v4i1.407

Abstract

Keterampilan penggunaan aplikasi microsoft excel menjadi kemampuan yang diperlukan karena aplikasi tersebut menjadi alat bantu utama dan penting dalam setiap pekerjaan. Proses kegiatan pembelajaran di SMAN 2 Sekampung Lampung Timur yang melalui daring, imbas dari pandemi, mengakibatkan pengetahuan dan keterampilan siswa khususnya penggunaan microsoft excel menjadi kurang. Untuk mengejar kekurangan pengetahuan dan keterampilan tersebut, pihak sekolah memberikan pelatihan kepada siswa. Metode yang digunakan dalam pelatihan tersebut dengan Participatory Learning and Action (PLA). Materi yang diberikan diantaranya penggunaan rumus, fungsi, operasi matematika dan lain sebagainya. Kegiatan pelatihan yang dilakukan oleh tim pengabdian menunjukkan hasil yang positif, terlihat dari kenaikan nilai rereta test yang dilakukan, dari 45.05 menjadi 62.48 poin. Harapanya dari pelatihan ini, pengetahuan dan keterampilan siswa bertambah dan dapat menjadi modal mereka ketika akan melanjutkan pendidikan atau bekerja
DATA MINING CLUSTERING DALAM PENGELOMPOKAN BUKU PERPUSTAKAAN MENGUNAKAN ALGORITMA K-MEANS Inas Ajeng Nur Afifah; Heri Nurdiyanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 3 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i3.3891

Abstract

Sistem Informasi Pengolahan Data Siswa Berbasis Web Pada Sma Negeri 1 Kotabumi yusuf, ridwan; Nurdiyanto, Heri
Jurnal Alih Teknologi Sistem Informasi (JATSI) Vol 2, No 2 (2022)
Publisher : Universitas Mitra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

AbstrakSMA Negeri 1 Kotabumi merupakan sekolah menengah atas dengan standar nasional dan memiliki ratusan siswa didalamnya. Pengolahan data siswa dengan jumlah siswa sebanyak itu dan keinginan orang tua siswa untuk memantau akademik putra-putrinya memungkinkan pihak sekolah merasa kesulitan untuk menjalankan tugas-tugasnya. Sistem Informasi Pengolahan Data Siswa Berbasis WEB pada SMA Negeri 1 Kotabumi merupakan sistem informasi yang menyediakan pengolahan data akademik siswa SMA Negeri 1 Kotabumi. Pembuatan sistem ini dilakukan dengan cara pengumpulan data, analisis, perancangan, implementasi hingga pada uji coba sistem informasi, obyek penelitian dalam hal ini SMA N 1 Kotabumi. Sistem informasi ini dibuat menggunakan bahasa pemograman PHP dan MySQL. Hasil akhir dari skripsi ini adalah Sistem Informasi Pengolahan Data Siswa Berbasis Web pada SMA N 1 Kotabumi yang dapat digunakan untuk mempermudah karyawan sekolah dalam pengolahan data siswa dan sebagai media informasi untuk orang tua siswa  mengenai akademik putra – putrinya.Kata Kunci : Sistem Informasi, PHP, website, SMA Negeri 1 Kotabumi.
The Effect of Regulations and Policies on the Development of E-Business in Indonesia Nurdiyanto, Heri; Hasibuan, Muhammad Said; Agus, Isnandar; singagerda, faurani santi
Journal of Research in Social Science and Humanities Vol 4, No 2 (2024)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v4i2.143

Abstract

This paper examines the impact of regulations and policies on the development of e-business in Indonesia. As e-business becomes increasingly integral to the economy, understanding the regulatory environment is crucial for stakeholders, including policymakers, business owners, and consumers. The study explores the current regulatory framework governing e-business in Indonesia, identifying key policies that influence its growth and development. Through qualitative analysis of government regulations, industry reports, and expert interviews, the paper highlights both the supportive and restrictive aspects of these regulations. Findings indicate that while certain policies, such as tax incentives and infrastructure investments, have fostered e-business growth, others, including stringent data protection laws and complex compliance requirements, pose challenges. The research underscores the need for a balanced regulatory approach that promotes innovation while ensuring consumer protection and fair competition. Recommendations are provided for policymakers to enhance the regulatory landscape, suggesting measures such as streamlined compliance processes, enhanced digital literacy programs, and increased collaboration between government and industry stakeholders. Ultimately, this paper aims to contribute to the discourse on how regulations can be optimized to support the sustainable growth of e-business in Indonesia, aligning with broader economic goals and technological advancements.
Utilization of artificial intelligence in Outcome-Based Curriculum Evaluation and Development Pusporini, Widowati; Nurdiyanto, Heri
Journal of Research in Social Science and Humanities Vol 4, No 1 (2024)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v4i1.109

Abstract

The integration of artificial intelligence (AI) in education has revolutionized traditional teaching and learning methodologies, offering significant improvements in curriculum evaluation and development. This study explores the utilization of AI in the evaluation and development of an Outcome-Based Curriculum (OBC). AI technologies, including machine learning algorithms and natural language processing, are employed to analyze vast amounts of educational data, providing insights into student performance and curriculum effectiveness. The research highlights how AI can identify learning gaps, predict student outcomes, and recommend personalized learning paths, thereby enhancing the overall educational experience. By leveraging AI, educators can design more adaptive and responsive curricula that meet the dynamic needs of students and industry standards. The findings suggest that AI-driven tools not only streamline the evaluation process but also facilitate continuous curriculum improvement, ensuring that educational programs remain relevant and outcome-focused. This paper underscores the potential of AI to transform curriculum development practices, promoting a more efficient, data-driven approach to education that aligns with contemporary educational goals and outcomes.
Improving Student Competence through Informatics-Based Vocational Education Fitrihana, Noor; Nurdiyanto, Heri
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1180

Abstract

In the contemporary landscape of education, integrating informatics into vocational education has emerged as a crucial strategy for enhancing student competence and preparing them for the demands of the modern workforce. This paper explores the role of informatics-based vocational education in developing the technical and cognitive skills required in today’s technology-driven industries. By embedding informatics into vocational curricula, students gain hands-on experience with advanced technologies, fostering a deeper understanding of computational thinking, problem-solving, and data analysis. The study outlines the theoretical framework for informatics-based education, emphasising its significance in vocational training. It highlights the importance of aligning educational programs with industry standards and technological advancements to ensure graduates have relevant and up-to-date skills. Through an extensive literature review, the paper identifies key components of effective informatics-based vocational education, including curriculum design, pedagogical approaches, and assessment methodologies. Several case studies illustrate the practical benefits of informatics in vocational education. For instance, a technical school incorporating coding and data analytics into its curriculum reported a significant increase in student engagement and achievement. Similarly, a vocational college that adopted simulation-based learning for industrial automation saw enhanced proficiency among students in operating complex machinery. The paper also addresses the challenges associated with implementing informatics-based vocational education. These include the need for continuous professional development for educators, investment in up-to-date technological infrastructure, and creating partnerships with industry to provide real-world learning opportunities. To overcome these challenges, the paper suggests a multifaceted approach that involves policy support, stakeholder collaboration, and ongoing research into best practices. In conclusion, informatics-based vocational education holds substantial potential for improving student competence by equipping them with essential skills for the digital age. By fostering a learning environment that integrates technology and industry relevance, vocational education can produce a workforce that is proficient in technical skills and adaptable to the evolving demands of the job market. This paper underscores the necessity of embracing informatics in vocational training to ensure that students are prepared for the complexities of the future workplace.
Competency Analysis of the Role of Pacitan District Teacher Activists in Cooperation with Pacitan District Local Government Nurdiyanto, Heri; Istiyono, Edi; Pranowo, Galih; Susetyaningsih, Ririn
Journal of Research in Social Science and Humanities Vol 5, No 1 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.202

Abstract

This study examines the competencies of teacher activists in Pacitan District, focusing on their roles and collaborations with the local government to enhance educational development. Teacher activists, often representing key stakeholders in the educational ecosystem, play a pivotal role in shaping policies, implementing educational reforms, and fostering a collaborative spirit with government agencies. The study investigates the skill sets, knowledge, and personal attributes that define effective teacher activists, particularly in the context of local educational governance in Pacitan District. Data were collected through a combination of qualitative interviews, questionnaires, and field observations involving teacher activists, local government officials, and school administrators. The analysis considers competencies such as leadership, communication, policy advocacy, and community engagement, evaluating their impacts on policy implementation, curriculum development, and student outcomes. The results indicate that teacher activists in Pacitan District possess high levels of commitment and are well-versed in local educational policies, yet often lack formal training in public administration and policy advocacy. This skill gap limits their capacity to collaborate effectively with the local government in some instances, resulting in missed opportunities for educational improvements. The study also identifies key areas where teacher activists can enhance their competencies to better fulfill their roles. Notable among these are strategic planning, stakeholder engagement, and understanding of government procedures, which are crucial for effective policy advocacy and execution. Strengthening these areas through targeted professional development programs could empower teacher activists to more effectively champion educational causes and influence policy-making at the district level. A significant outcome of this study is the recommendation for a structured, collaborative framework between teacher activists and the local government, with an emphasis on joint decision-making, regular training sessions, and shared objectives. Such a framework could enhance the efficacy of educational policies and ensure that teacher activists’ input is both valued and impactful within the broader educational development agenda of Pacitan District. The study concludes that the competencies of teacher activists significantly influence their ability to cooperate with the local government, impacting educational progress within the district. A mutual understanding of roles, coupled with ongoing professional development, is essential to maximize the potential contributions of teacher activists. This collaborative approach is crucial for driving sustainable educational reforms and fostering a supportive environment for student achievement across Pacitan District schools. Future research should explore the long-term effects of competency-based training on teacher activists' roles and the overall quality of education within similar regional settings, aiming to generalize these findings for broader applicability across Indonesia’s educational landscape. 
Co-Authors A.A. Ketut Agung Cahyawan W Agus, Isnandar Aldi Muharsyah Apriyanto, Krisnanda Dwi Apsiswanto, Untoro Basiroh Basiroh Brooks Ovchinnikova Budi Sutomo Chairani Fauzi Darmono Diaconescu Ada Sven Dikki Handoko Edi Istiyono Efori Buulolo Ella Wulandari Envermy Vem, Envermy Eva Jeanette Fachrurrazi Fachrurrazi Febri Sugandi Francesco Bellman Galih Pranowo Hermanto Hermanto Hotmelinsa Situmorang Ibrahim Khalid Ilma, Awla Akbar Inas Ajeng Nur Afifah Iqbal Saeed Umar Irfan Setiawan Kharismawati, Anisa Khasanah Khasanah M Ikhsan Setiawan M Said Hasibuan Maharani Maharani, Maharani Mesran Mesran Mesran, Mesran Mustaqim, Ilmawan Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nidia Sutrikanti Noor Fitrihana Nova Suparmanto Nur Endah Januarti Praptiwi, Wahyu Kharina Priyatno Priyatno Rahman, Dzul Fadli Ridwan Yusuf Sadiq Ullah Shahab Wahhab Kareem Singagerda, Faurani Santi Soraya Rahma Hayati Sri Lestari Sudaryono Sudaryono Suginam Sulistiyanto Sulistiyanto Surya Darma Nasution Susanto, Tofan Susetyaningsih, Ririn Sutiksno, Dian Utami Syaputra, Muhammad Adie Taronisokhi Zebua Tri Aristy Saputri Usep Saprudin Widowati Pusporini, Widowati Yuhandri Yuhandri, Yuhandri