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All Journal IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Journal of Management Science and Information Technology (IJMSIT) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi kawanad
Koibur, Reni
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Other

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Penggunaan Teknologi Seluler untuk Pembelajaran Kosakata Bahasa Inggris dalam Pendidikan Jarak Jauh Lyraa, Naomi; Wattimena, Fegie Yoanti; Koibur, Reni; Dolan, Ellen
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 2 No 2 (2024): Maret
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v2i2.485

Abstract

Keberhasilan akademis sangat bergantung pada pemahaman bahasa, terutama dalam konteks penguasaan kosakata. Mahasiswa sering menghadapi tantangan dalam pembelajaran kosakata bahasa Inggris, yang merupakan kunci keberhasilan akademik. Keterbatasan akses, fleksibilitas, dan dukungan pedagogis dalam Pendidikan Jarak Jauh menuntut solusi inovatif. Penelitian ini mengadopsi metodologi Penelitian Desain Berbasis Riset (DBR) untuk mengembangkan Teknologi Seluler, sebuah aplikasi mobile yang dirancang khusus untuk pembelajaran kosakata. Proses pengembangan melibatkan iterasi desain, implementasi, dan evaluasi, dengan fokus pada kebutuhan dan konteks pembelajar. Teknologi Seluler VocUp berhasil diimplementasikan dan menunjukkan efektivitas dalam meningkatkan penguasaan kosakata. Aplikasi ini memungkinkan pembelajaran yang lebih interaktif dan adaptif, berkat fitur-fiturnya yang responsif terhadap kebutuhan pengguna dan kondisi pembelajaran. Penggunaan Teknologi Seluler telah menyediakan sarana yang lebih fleksibel dan mudah diakses untuk pembelajaran kosakata, mengatasi berbagai hambatan yang biasanya dihadapi dalam Pendidikan Jarak Jauh. Hal ini membuka jalan bagi pendekatan pembelajaran yang lebih inovatif dan terpusat pada siswa. Teknologi Seluler ini menawarkan solusi praktis dan efektif untuk tantangan pembelajaran kosakata di lingkungan universitas, khususnya dalam Pendidikan Jarak Jauh. Dengan pendekatan yang responsif dan berbasis pembelajaran, aplikasi ini tidak hanya meningkatkan penguasaan kosakata, tetapi juga mendorong pengembangan model pembelajaran yang lebih adaptif dan inklusif di masa depan.
Peningkatan Sumber Daya Manusia Berbasis TIK dan Literasi Digital melalui Pelatihan TIK Bagi Masyarakat Distrik Nimboran Sumanik, Ermy Dikta; Koibur, Reni; Wattimena, Fegie Y; Renyaan, Axelon S; Erwanto, Yoga; Kabagaimu, Joice Y; Bwefar, Oktovianus A
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2 (2022): October
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v1i2.62

Abstract

Improving human resources in the field of ICT and digital literacy for village officials is very important in this digital era. The lack of skills in operating ICT has hampered in operating Ms. Office and google. The purpose of this training activity is to increase the capacity of human resources in the field of ICT and digital literacy in the community of Nimboran district. The method used in this activity is direct training and mentoring. This ICT activity was carried out for three days of training. At the beginning of the activity, it was distributed to measure participants' understanding in operating Ms. Office and Google. Monitoring and evaluation is done by presenting the post-test directly. The result of this ICT training is 72,61%have been able to improve their competence in operating Ms. Office and Google.
Experd System of Obesity Diagnosis Using Backward Chaining Method and Certain Factor Wattimena, Fegie Yoanti; Koibur, Reni; Mamisala, Dion R A; Andryana, Septi
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 1 No 2 (2020): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v1i2.106

Abstract

Obesity is a medical condition in the form of excess body fat that accumulates in such a way as to have a detrimental impact on health, which then decreases life expectancy and or increases health problems. Obesity is now a common health problem in this modern society with a variety of technological discoveries that make people don't need to move a lot to do something, resulting in people living a lifestyle without much Move. Researchers feel the need for an expert system application that can easily diagnose obesity with everyone just by modalizing simple applications on people's smartphones. The expert system that is built will diagnose early obesity disease by method of drawing inferences using backward chaining method and to test the level of belief conclusions using certainity factor method. The system will be able to provide output in the form of obesity diagnosis, explanation, tips and advice on obesity handling solutions. System development Methods using ESDLC (Expert System Development Life Cycle). The system is built on Android.
The Impact of Artificial Intelligence and Big Data Integration on Decision-Making and Supply Chain Efficiency in Modern Logistics Karay, Jeni; Koibur, Reni
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6344

Abstract

This study examines the impact of the integration of Artificial Intelligence (AI) and Big Data on decision-making and operational efficiency in the logistics sector. AI accelerates data processing, while Big Data enables large-scale analysis to make more informed decisions. Both technologies can improve planning, distribution, and equipment monitoring, as well as enhance supply chain operability by reducing human error. The study included case studies of 50 logistics companies that have adopted AI and Big Data. Using this quantitative method, the research team developed survey questions based on the four parameters listed above and answered them by interviewing representatives from each company's management department. The results show that 70% of companies have implemented AI across various operational aspects. Sixty percent of companies are fully utilizing Big Data. AI improves demand forecast accuracy by 30% and reduces inventory waste by 25%. AI implementation saves 15-20% on delivery time in route management, while reducing operational costs. However, there are several drawbacks: it is expensive to build systems using all these technologies, there is a shortage of skilled labor, and companies struggle to integrate new systems with existing legacy systems. This study also shows that organizational readiness plays a critical role in leveraging the technical potential of these two technologies to improve supply chain operational efficiency.
Co-Authors Bwefar, Oktovianus A Dolan, Ellen Erwanto, Yoga Kabagaimu, Joice Y Karay, Jeni Lyraa, Naomi Mamisala, Dion R A Renyaan, Axelon S Septi Andryana Sumanik, Ermy Dikta Wattimena, Fegie Y Wattimena, Fegie Yoanti