Article Per Year (5 Year)
p-Index From 2021 - 2026
9.554
P-Index
This Author published in this journals
All Journal Jurnal Sarjana Teknik Informatika Jurnal Infinity Scientific Journal of Informatics Jurnal Pengabdian UntukMu NegeRI Jurnal Khatulistiwa Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika Anterior Jurnal Martabe : Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Jurnal Pengabdian Dharma Laksana Jurnal Inti Talafa : Jurnal Teknik Informatika JURNAL TEKNIK JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sains Komputer dan Teknologi Informasi International Journal of Engineering, Science and Information Technology Abdimas: Papua Journal Of Community Service Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Parta: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Program Pengabdian Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) JOINCS (Journal of Informatics, Network, and Computer Science) J-ENSITEC (Journal of Engineering and Sustainable Technology) Solo Universal Journal of Islamic Education and Multiculturalism Bulletin of Social Informatics Theory and Application PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi Journal of Computer-based Instructional Media Jurnal Infinity Jurnal Abdimas UM Jambi Jurnal Informatika Medis (J-INFORMED) ABDIMASTEK Profetika: Jurnal Studi Islam Jurnal Wawasan Sarjana Sinergi dan Transformasi dalam Pengabdian Kepada Masyarakat
Ika Safitri Windiarti
Universitas Muhammadiyah Palangkaraya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 67 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 67 Documents
Search

 3   4   5   6   7 
Perancangan Sistem Informasi Penjualan Spare Part Kendaraan di CV Berkah Otomotif Motor Berbasis Web Andriawan, Deden; Windiarti, Ika Safitri; Prabowo, Agung
Jurnal Teknik Vol. 14 No. 1 (2025): Januari - Juni 2025
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jt.v14i1.13896

Abstract

The development of information technology has brought significant changes to the trade sector, with e-commerce as an alternative that allows transactions to be conducted online without the limitations of space and time. This research aims to design a web-based spare parts sales information system for CV Berkah Otomotif Motor to improve efficiency and ease of access for customers. The research methods used are observation, interviews, and documentation to collect relevant data. The system is developed using the prototype method, which allows users to interact with the system from the early stages and provide iterative feedback. Unified Modeling Language (UML) is used as a design tool to model the system in a structured manner. System testing is conducted using black-box testing, which focuses on testing functionality without looking at the source code, to ensure that each function works as expected. The results of this research show that the designed system can help customers obtain information about the availability of spare parts and allow online ordering, thereby improving comfort and transaction efficiency. With this system in place, CV Berkah Otomotif Motor is expected to expand its market reach and enhance its competitiveness in the digital era.
Evolution and Impacts of AI-Based Rainfall Prediction Systems on Agricultural Management in Tropical Regions: A 20-Year Systematic Review Safrizal; Ika Safitri Windiarti
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2357

Abstract

Global climate change has significantly disrupted rainfall patterns in tropical regions, posing major challenges to agricultural productivity and food security. Accurate rainfall prediction has become a critical component of data-driven agricultural management. This study conducts a systematic literature review (SLR) following the PRISMA 2020 guidelines to analyze the evolution of AI-based rainfall prediction systems and their multidimensional impacts on tropical agricultural management over the period 2008–2026. Data were sourced from Scopus using three Boolean search strings, yielding 239 records, of which 235 articles were retained after duplicate removal and quality assessment using the Mixed Methods Appraisal Tool (MMAT) with a threshold score of ≥5. Bibliometric analysis was conducted using VOSviewer and Bibliometrix (R), while thematic narrative synthesis was performed using NVivo 14. Results reveal a clear four-phase technological evolution: conventional methods (2008–2015), machine learning adoption (2016–2020), deep learning and IoT integration (2021–2023), and multimodal and large language model era (2024–2026). Technical impacts dominated the corpus (accuracy improvements of 18–35%), while social and economic impact studies remain critically underrepresented (2.6% and 0.9%, respectively). Key research gaps identified include poor model interpretability (black-box problem), limited integration with decision support systems (DSS), inadequate tropical-specific model development, and the near-total absence of longitudinal impact evaluations. This study contributes a holistic synthesis integrating technological evolution with multidimensional impact analysis, offering strategic recommendations for developing more adaptive, transparent, and equitable AI rainfall prediction systems aligned with SDG 2, SDG 13, and SDG 15
MODEL FUTURE READINESS TEKNOLOGI INFORMASI DALAM MENGHADAPI KONVERGENSI ARTIFICIAL INTELLIGENCE, QUANTUM COMPUTING, DAN INTERNET OF THINGS Dafit Afianto; Ika Safitri Windiarti; Sidik Praptomo
Jurnal Informatika Medis (J-INFORMED) Vol. 4 No. 1 (2026): Jurnal Informatika Medis (J-INFORMED)
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/im.v4i1.4446

Abstract

Transformasi digital yang didorong oleh konvergensi Artificial Intelligence (AI), Internet of Things (IoT), dan Quantum Computing telah meningkatkan kompleksitas tata kelola teknologi informasi sehingga menuntut organisasi memiliki tingkat kesiapan (future readiness) yang lebih adaptif. Penelitian ini bertujuan mengembangkan model konseptual Future Readiness Teknologi Informasi (FR-TI) berbasis Enterprise Architecture (EA) sebagai kerangka strategis dalam meningkatkan kesiapan organisasi menghadapi perkembangan teknologi masa depan. Penelitian menggunakan pendekatan kualitatif melalui Systematic Literature Review (SLR) dengan sintesis berbagai penelitian mengenai Enterprise Architecture, transformasi digital, tata kelola teknologi informasi, AI, IoT, Quantum Computing, digital resilience, serta data-driven architecture. Analisis dilakukan menggunakan teknik thematic synthesis untuk mengidentifikasi hubungan konseptual antartemuan penelitian sehingga menghasilkan model konseptual yang terintegrasi. Hasil penelitian menunjukkan bahwa Future Readiness Teknologi Informasi dibangun oleh tujuh dimensi utama, yaitu Strategic Foresight and Sensing, Strategi Transformasi dan Keputusan TI, Enterprise Architecture dan Tata Kelola Adaptif, Data Platform dan Interoperabilitas, Kesiapan Konvergensi Teknologi AI–IoT–Quantum, Digital Resilience, Cybersecurity, Privacy and Risk Management, serta Human Capital, Collaboration, and Value Measurement. Ketujuh dimensi tersebut diintegrasikan melalui siklus adaptif Sensing–Architecting–Governing–Learning yang memungkinkan organisasi merespons perubahan teknologi secara berkelanjutan. Penelitian ini memberikan kontribusi teoritis melalui pengembangan model Future Readiness Teknologi Informasi (FR-TI) yang memperluas paradigma Enterprise Architecture menjadi kerangka prediktif, adaptif, dan berorientasi masa depan. Secara praktis, model ini dapat dijadikan acuan dalam penyusunan strategi transformasi digital, pengembangan tata kelola Enterprise Architecture, serta penyusunan instrumen pengukuran tingkat kesiapan organisasi menghadapi konvergensi teknologi digital generasi berikutnya.
Information Technology Challenges: Developments and Potential Impact on Socio Economics in the Next Two Decades Irman Amri; Ika Safitri Windiarti
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.917

Abstract

This study aims to analyze the challenges, developments, and potential impacts of information technology (IT) on socio-economic aspects in the next two decades. Using the Systematic Literature Review (SLR) method that follows PRISMA guidelines, this study examines scientific articles from the Scopus database over the past two decades. The results of the study show that technological developments such as artificial intelligence (AI), big data, Internet of Things (IoT), and digitalization have brought significant changes in various sectors, increasing efficiency, productivity, and innovation. Projections for the next two decades indicate that this trend will continue and evolve, with a major impact on the job market, productivity, quality of life, privacy, and social interaction. The study's conclusions emphasize the need to invest in education and skills training to cope with job market changes, as well as the implementation of strict regulations to protect data privacy and security. Research recommendations include increased collaboration between the public and private sectors, equitable development of digital infrastructure, and public education on the healthy use of technology. Thus, this study provides comprehensive insights to optimize the benefits of information technology while anticipating and overcoming its negative impacts.
ANALISIS POLA PENYEBAB KARHUTLA KALIMANTAN TENGAH MENGGUNAKAN INDOBERT DAN CAUSAL PATTERN MINING Fahrizal Maulana; Kusrini; Ika Safitri Windiarti; Sutami
INTI TALAFA Vol. 18 No. 2 (2026): Vol 18 No 2 Tahun 2026
Publisher : Program Studi Teknik Informatika Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32534/int.v18i2.8638

Abstract

Forest and land fires in Central Kalimantan are environmental problems influenced by natural factors and human activities, resulting in complex causal relationship patterns. This study aims to analyze wildfire cause patterns in Central Kalimantan using an IndoBERT-based NLP and AI approach integrated with causal pattern mining on online news articles. Data were collected through web scraping from six local and national news portals using nine Google search queries related to wildfires, resulting in 436 relevant articles as the main corpus. The methodological stages included text preprocessing, semantic representation using a 768-dimensional IndoBERT transformer model, topic discovery using BERTopic, and causal pattern analysis through co-occurrence analysis and contextual relation mining. The topic discovery results identified 10 main topics, with the topic “extreme dry season” dominating with 104 data points, followed by “hot weather and drought” (54 data points). Anthropogenic factors such as intentional land burning, land clearing activities, and human negligence were also identified as significant causes. Contextual relation mining results showed that the words “land” (1,473 occurrences), “smoke” (938), “dry season” (334), and “peatland” (288) were the most dominant causal contexts, while co-occurrence analysis generated 37,581 word pairs forming a causal network. Future studies are recommended to integrate spatial data, expand the dataset, and implement knowledge graphs to support real-time wildfire disaster intelligence systems.
Optimizing library catalogue management using object-oriented e-catalogue application: A case study at Universitas Muhammadiyah Jambi Saleh Yaakub; Ika Safitri Windiarti; Wawan Joko Pranoto
Journal of Computer-based Instructional Media Vol. 3 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v3i2.145

Abstract

The development of a comprehensive and efficient library catalogue system is essential for improving accessibility to information in modern educational environments. This research addresses the inefficiencies of manual cataloguing methods at Universitas Muhammadiyah Jambi’s library by proposing an Object-Oriented Programming (OOP)-based E- catalogue system. The system, developed using Visual Basic and Microsoft Access, streamlines the book-searching process, enhancing user access to book details such as authors, titles, and synopses. The system’s user-friendly interface supports features like search, administration, and data backup, improving both search efficiency and user satisfaction. This research contributes to the advancement of library management systems, demonstrating the potential of OOP-based design for future applications in similar academic institutions. Future research can build on this work by integrating machine learning techniques for personalized book recommendations and expanding the system's scalability.
Determinan Perilaku Penggunaan SIAKAD: Integrasi Model UTAUT 2 pada Lingkungan Perguruan Tinggi Swasta Regional Setio Ardy Nuswantoro; Ika Safitri Windiarti; Wiwinti Wiwinti; Najwa Aulia Suwandini
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 16 No 1 (2026): Maret 2026
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v16i1.1014

Abstract

This study aims to analyze the factors influencing the behavioral intention and use behavior of the Academic Information System (SIAKAD) at Universitas Muhammadiyah Palangkaraya. Using the UTAUT 2 model adapted for a mandatory system context, the price value and hedonic motivation variables were excluded. This research involved 383 student respondents selected through purposive sampling. Data were analyzed using the Structural Equation Modeling (SEM) approach based on Partial Least Squares (PLS) via SmartPLS 4 software.The results indicate that all variables performance expectancy, effort expectancy, social influence, facilitating conditions, and habit have a positive and significant effect on behavioral intention (R2=0.502), which subsequently acts as a strong predictor of actual use behavior (R2=0.476). The novelty of this research lies in the modification of the UTAUT 2 model, aligned with the characteristics of mandatory information systems in regional higher education institutions. The findings show that while habits have been formed, the institution needs to strengthen facilitating conditions to minimize semi-manual processes. These results provide a theoretical contribution to the technology adoption literature as well as practical recommendations for university management in optimizing academic digital transformation.
Competent Teacher Ideal Professional Certified Character and Progressive Perspective of Kitab Al-Rasul Al-Muallim Muthoifin; Alberto Emmanuel Conti Morales; Mr. Anat Maisu; Ika Safitri Windiarti; Eltom Ishaq Osman Musa
Solo Universal Journal of Islamic Education and Multiculturalism Vol. 1 No. 02 (2023): Solo Universal Journal of Islamic Education and Multiculturalism
Publisher : Walidem Institute and Publishing (WIP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61455/sujiem.v1i02.41

Abstract

The purpose of this study is to evaluate the notion of teacher competency in Islamic education as it is presented in the book al-Rasulul al-Mu'allim. This study included library research from a variety of books or scriptures related to competency, teachers, Islamic education, Sheikh Abdul Fattah's biography, the Prophet Muhammad's teaching style, literature on teaching, and Sheikh Abdul Fattah's ideas. The book Al Rasul Al Mu'allim was the main source of inquiry and study for the data. Content analysis, normative, and theological methodologies are utilized to investigate the topic of divinity and the characters of God, as well as the teachings of Allah's religion. Religious pedagogical competence, religious personality competence, religious professional competence, religious social competence, religious global competence, and religious emotional competence were identified as six teacher competencies in Islamic education. The results of the study on the Performance of Good Educators in the Book of Al-Rasul al-Muallim can be implemented by anyone, in any institution, and at any time, because it is very relevant to the vision, mission, and real educational goals.
Chronological review of medical imaging innovations and their transformative impact on healthcare Nurul Huda; Ika Safitri Windiarti
Jurnal Sarjana Teknik Informatika Vol. 14 No. 1 (2026): Februari
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v14i1.30846

Abstract

Over the past two decades, the rapid evolution of medical imaging technologies has become a critical driver of innovation in healthcare. The urgent need for faster, more accurate, and non-invasive diagnostic tools has led to the development of high-field MRI, multislice CT, 3D and 4D ultrasound, and hybrid modalities such as PET/CT and PET/MRI. This review aims to provide a chronological overview of these technological advancements and to evaluate their broader social and clinical impacts. Using a systematic literature review of publications indexed in major databases between 2000 and 2023, the study identifies key milestones in imaging innovation and assesses their influence on diagnostic precision, patient outcomes, and healthcare accessibility. The findings show that the integration of artificial intelligence and machine learning has substantially enhanced image interpretation, early disease detection, and treatment personalization, while also introducing new ethical and policy challenges. The novelty of this work lies in its dual emphasis on technological evolution and societal transformation, offering a comprehensive understanding of how medical imaging continues to shape modern medicine and public health.
Transformasi Digital Perguruan Tinggi melalui Integrasi Sistem Informasi Akademik dan Administrasi Terpusat Dafit Afianto; Ika Safitri Windiarti
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 4 No. 1 (2026): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIAKSI (JUPTIK)
Publisher : Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v4i1.4183

Abstract

Transformasi digital perguruan tinggi menjadi kebutuhan strategis dalam meningkatkan efektivitas tata kelola akademik dan administrasi di era teknologi informasi. Namun, banyak perguruan tinggi masih menghadapi permasalahan berupa fragmentasi sistem informasi, redundansi data, dan rendahnya sinkronisasi layanan antar unit kerja. Penelitian ini bertujuan merancang dan mengevaluasi sistem informasi terintegrasi untuk mendukung transformasi digital perguruan tinggi di Universitas Muhammadiyah Muara Bungo menggunakan pendekatan Design Science Research (DSR). Penelitian dilakukan melalui tahapan identifikasi masalah dan kebutuhan sistem, perancangan arsitektur berbasis microservices dan Docker, implementasi prototype menggunakan Laravel dan MySQL, uji coba sistem, evaluasi usability, serta dokumentasi dan replikasi sistem. Data penelitian diperoleh melalui observasi, wawancara mendalam, Focus Group Discussion (FGD), dan dokumentasi terhadap pimpinan universitas, staf teknologi informasi, operator akademik, dosen, dan mahasiswa. Evaluasi sistem dilakukan menggunakan pendekatan System Usability Scale (SUS), observasi penggunaan sistem, dan analisis efektivitas layanan digital. Hasil penelitian menunjukkan bahwa prototype sistem informasi terintegrasi mampu meningkatkan sinkronisasi data akademik dan administrasi, mempercepat proses pelayanan kampus, mengurangi redundansi input data, serta meningkatkan kemudahan akses layanan bagi pengguna. Penggunaan arsitektur microservices dan Docker juga memberikan fleksibilitas dalam integrasi dan pengembangan layanan digital kampus. Namun demikian, penelitian masih menemukan kendala berupa keterbatasan infrastruktur jaringan, kapasitas server, dan kebutuhan peningkatan literasi digital pengguna. Penelitian ini menyimpulkan bahwa integrasi sistem informasi berbasis interoperabilitas data menjadi strategi penting dalam mewujudkan tata kelola perguruan tinggi berbasis digital yang efektif, efisien, dan berkelanjutan.
Co-Authors Achmad Rizal Kurniawan Agung Afrizal Agung Prabowo Agung Prabowo Agung Prabowo Agung Prabowo - STMIK Palangka Raya Ahyar Junaedi Aidin Najihi Alberto Emmanuel Conti Morales Amar Ma’ruf Andriawan, Deden Andry Rachmadany Auratania Hadisah Sugianto Bella Mailinda Citra Amalia DAFIT AFIANTO Deden Andriawan Desy Selawaty Diki Hidayat Doddy Teguh Yuwono Dwi Haryanto Dwi Haryanto Ellathodi, Mohammed Razi Eltom Ishaq Osman Musa Fahrizal Maulana Fahrizal Maulana Fitriani Fitriani Hairil Anwar Haryadi Haryadi Haryadi - Haryadi Haryadi Irman Amri Irvan Irwandi Istiawan, Deden Jarinah, Jarinah Jaya Anggatama Kusrini Lutfi Ali Muharrom Meika, Ika Miftahurrisqi Miftahurrisqi Miftahurrisqi, Miftahurrisqi Miftahurrizqi Miftahurrizqi Miftahurrizqi Miftahurrizqi Miftahurrizqi Miftahurrizqi Miftahurrizqi Miftahurrizqi Miftahurrizqi, Miftahurrizqi Mita Sari Moch. Fauzan Mr. Anat Maisu Muh Ashari Muhammad Awaluddin Muhammad Awaluddin Muhammad Haris Qamaruzzaman Muhammad Ulfi Muthoifin Najwa Aulia Suwandini Nenden Suciyati Sartika Norhalisa, Siti Norhayati Norjanah Siti Nurul Huda Nurul Huda Pebriansen, Yairus Pratama, Agus Putri, Cici R Rosidin Rachmat Hidayat Rafii, Mohamad Rahmadana, Muhammad Akbar Ramadhan, Haris Hiqqal Rida Priyanti Robetson, Robetson Rommi Kaestria Rufi'i Safrizal Sam'ani Sam'ani Santoso, Arif Gunawan Setio Ardy Nuswantoro Setio Ardy Nuswantoro Setio Ardy Nuswantoro Sholehah, Fitri Amalia Sidik Praptomo Sujana, Asep Sulistyowati Sulistyowati Sutami Suwandini, Najwa Aulia Syamsul Bahri Ulfi, Muhammad Wawan Joko Pranoto Wawan Joko Pranoto Wiwinti Wiwinti Yaakub, Saleh Yelia, Cica Yeni Dwi Rahayu Zaenal Hakim Zulmi