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Analisis, Perancangan Layanan Terpadu e-Mall multi_mitra teknologi SOA menghadapi PandemiCOVID-19 kartini kartini; Riya Widayanti
Jurnal Komputasi Vol. 8 No. 1 (2020)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i1.2534

Abstract

The progress of the development of information technology, communication and SOA (Service Oriented Architecture) that is very fast making all activities of aspects of human life must follow. Especially creating long distance shopping and transactions, one way to avoid the crowds and chaos of people when conditions (epidemics that are simultaneously contagious everywhere, covering large geographical areas) the COVID-19 pandemic. Among them are business, business, education, and other activities. Constraints developing applications, it is very difficult and expensive and requires a long time due to differences in platforms between applications and limited access to the server for the security of the server itself. SOA can solve this problem, can make existing programs become service oriented. This can be done with programs that have been built in a modular manner so that it is enough to only add web services techniques in them. Then a service interface is created without changing the logic of the program. Thus the testing is sufficient on the interface, while the function / logic in it does not need to be tested again because it does not change. SOA integrates and accelerates Multi-Partner business processes, all of which can improve efficiency in all fields. Based on this fact this research was conducted. The research method begins with a literature study, and documentation of related journals as a reference source for analysis. Then proceed with direct observation, conducting interviews with several Mall partners; store owner, banks, residents / customers in the Mall (the author is not allowed to mention the name of the store owner, customer name, name of the store owner, and the name of the Mall) to get the required data Modeling the system design process of the Unified Modeling Language, Enterprise Architect and tenology used by SOA. The system development method uses Prototype. The end result of this research (study) is expected to be used by related parties in developing remote transactions and other parties interested in SOA.
Optimizing Inclusion and Accessibility in Digital Education with Adaptive Learning Widayanti, Riya; Zainarthur, Henry; Abbas, Maulana
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.990

Abstract

This study examines the persistent challenges in achieving inclusive and accessible digital education, particularly for learners with diverse abilities, varying levels of technological readiness, and different socio-economic backgrounds, despite rapid advancements in educational technology. It focuses on optimizing inclusion and accessibility through an adaptive digital education approach that responds to individual learner needs and specific learning contexts. A mixed-methods research design was employed, combining a quantitative survey administered to students and educators engaged in digital learning environments with qualitative interviews to 200 respondents capture in-depth experiential insights. Structural Equation Modeling (SEM) was utilized to analyze the relationships among adaptive learning features, accessibility, and inclusive learning outcomes. The findings demonstrate that adaptive digital education systems significantly enhance learning accessibility, learner engagement, and perceived inclusivity. Personalization mechanisms and adaptive content delivery emerged as the strongest contributing factors. Moreover, adaptive technologies were shown to reduce learning barriers for students with varying learning speeds and specific accessibility requirements. Overall, the study confirms that optimizing adaptive digital education is essential for fostering inclusive and accessible learning environments and underscores the need to integrate adaptive system design into educational policies and digital learning strategies to promote equitable educational opportunities across diverse contexts.
Predicting Supply Chain Risks Using Machine Learning for Resilient Operations Widayanti, Riya; Setiyowati, Harlis; Yusup, Muhamad; Rodriguez, Marta
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1376

Abstract

Rising supply chain disruptions highlight increasing vulnerabilities in global logistics networks caused by geopolitical conflicts, fluctuating demand, transportation failures, and environmental instability. These challenges reveal the limitations of conventional risk assessment approaches that rely heavily on manual analysis and historical data. Machine Learning (ML) offers a promising approach to enhance predictive intelligence and support more accurate decision making in complex supply chain environments. This study aims to develop and evaluate a Machine Learning based risk prediction model capable of identifying potential supply chain disruptions and enabling early detection of critical risk factors in global logistics operations. A quantitative experimental approach was employed using supply chain datasets integrated with disruption indicators from international logistics activities. The dataset consisted of more than 5,000 operational records collected between 2018 and 2024. Several machine learning algorithms were implemented and compared, including Random Forest, Gradient Boosting, and Support Vector Machines. Experimental results indicate that the Gradient Boosting algorithm achieved the highest predictive performance with an accuracy of 94.2%. The model successfully identified key determinants of supply chain risk, including demand variability, supplier reliability, and transportation delays. These findings confirm that machine learning based predictive models can enhance supply chain resilience by enabling early risk detection and supporting proactive decision making in global logistics operations.
IMPLEMENTATION BLOCKCHAIN IN MOBILE APPLICATIONS SEMINAR ON E-CERTIFICATE VERIFICATION USING SMART CONTRACTS Sahri Ramadan; Sawali Wahyu; Budi Tjahjono; Riya Widayanti
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 1 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i1.11356

Abstract

The increasing adoption of electronic certificates in academic and professional environments raises critical challenges related to authenticity, data integrity, and verification reliability. Conventional certificate management systems commonly rely on centralized architectures and manual validation procedures, which are vulnerable to manipulation, duplication, and single points of failure (SPoF). This study proposes a blockchain-based electronic certificate verification system implemented on a private Hyperledger Fabric network using smart contracts. The system records certificate verification metadata on a distributed ledger to ensure integrity and traceability while maintaining storage efficiency. Smart contracts automate the issuance and validation lifecycle, enabling transparent and tamper-resistant certificate management. The verification process is conducted by comparing document authentication data with records stored on the blockchain. Experimental evaluation demonstrates that the proposed system can accurately identify document alterations and consistently distinguish between valid and invalid certificates. The results indicate that the integration of blockchain and smart contracts as an active validation mechanism enhances transparency, reduces dependence on centralized authorities, and improves trust in mobile-based digital credential systems. Therefore, the proposed approach provides a secure and reliable framework for electronic certificate verification in academic environments.
Co-Authors Abbas, Maulana Achmad Benny Mutiara Adi Widiantono Agustinus Teiretius Bebi Ahmad Fuad Al-Farouqi, Kamal Arif Amal, Muhammad Fatikhul Ananda, Muhammad Rizqy Ananda, Nadaa Septya Dwi Andreas, Ryan Anggy Giri Prawiyogi Archa Erica Ari Pambudi Arif Apriansah Aropria Ria Saulina Panjaitan Aulia Faradilla Jasmine Aulia Wellington Avinanta Tarigan Avinanta Tarigan Aziz Samudra, Rangga Azizah, Anik Hanifa Azizah, Anik Hanifatul Bangun, Cicilia Sriliasta Bartholomeus Dimanche Carl Beth Benny Muyarman Budi Tjahjono Debi Irawan Dedeh Supriyanti Deva Rivelino Duta Liana Ellen Dolan Faisal Yusuf Felisia Christiani Felix Sutisna Fitra Putri Oganda Fitra Putri Oganda Fitri Nur Utami Gerry Firmansyah Gideon Hatorangan Rajagukguk Gusti Muhamad Sardana Hani Dewi Ariessanti Harahap, Eka Purnama Harlinda Syofyan Harlis Setiyowati Hendra Bratanata Ichwani, Arief Ida Nurlela Ita Sari Perbina Manik Jenyta Primaranti Julianingsih, Dwi Julius Jery Nolasco Kareena Futri Ramadhani Kartini . Kartini Kartini kartini, kartini Khaerina, Mutia Fauzi Kusuma, Farid Azhar Lestari, Gilda Nadia Vianda Lim Jong Su M Bahrul Ulum, M Bahrul Maemonah, Maemonah Malabay Malabay Maratis, Jerry Maryanti, Tatik Maulana Fajar Lazuardi Meria, Lista Mochamad Heru Riza Chakim Muhamad Yusup Muhammad Adi Zacky Zahran Muhammad Bima Aryantoro Muhammad Hadi Arfian Ninda Lutfiani Nizirwan Anwar Noviandi Noviandi Nuche, Asher Nusandari, Karina Dewi Pramudito, Eko Sigit Prasetiyo, Wildan Guretno Primasatria Edastama, Primasatria Putra, Alwan Abiyu R M Salahudin Rahanar, Abdul Fatah Renaldy Hiunarto Rian Adi Pamungkas Riandana Aryaguna, Novan Rizqullah Al-Baihaqi, Miftahul Fikri Rodriguez, Marta Ryan Putra Laksana Sabda Maulana Sahri Ramadan Sandy Lorent Santoso, Nesti Anggraini SARASWATI, RIA Satria Valerian Shari Sausan Raihana Putri Sawali Wahyu Setianingsih Setyowardhani, Tasya Shofiyul Millah Silva Wulandari Simorangkir, Holder Sinaga, Robby Sugiyanti, Sri Dewi Suryari Purnama Sutrisno, Sutrisno Syifa Maulida Akmalia Tatik Mariyanti Taufik Maulana Thedy, Alvian Ulum, Muhamad Bahrul Untung Rahardja Vinsens Aji Pamungkas Widhy Setyowati Williams, Alexander Willson, Jett Lee Yayat, Asep Yulfitri, Alivia Yulhendri Yulhendri Yuliati - Yunita Fauzia Achmad Zainarthur, Henry