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All Journal Widya Wacana : Jurnal Ilmiah International Journal of Science and Applied Science: Conference Series Adi Widya : Jurnal Pengabdian Masyarakat PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Research Fair Unisri Journal of Vocational Education and Information Technology (JVEIT) Innovative: Journal Of Social Science Research Research in Education and Technology (REGY)
Tigus Juni Betri
Islamic State University Of Raden Mas Said
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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System design single vendor marketplace Betri, Tigus Juni
Research in Education and Technology (REGY) Vol. 2 No. 1 (2023): Research in Education and Technology (REGY)
Publisher : PT The Collaboration UVW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62590/regy.v2i1.99

Abstract

Single Vendor Marketplace is a web-based application or mobile-based application where there is only one seller who provides products. Seller sales transactions only involve sellers and buyers directly without any third parties or intermediaries. The advantage of this system is that you can manage your profits directly yourself. Some also call this application a stand-alone website. The revised Borg and Gall research and development method allows the system design of this information system to be completed well. This design process has several stages. The Borg and Gall development model has a series of steps or stages consisting of information gathering, planning stage, initial product design development stage, field trial stage, main product revision stage, field test stage, operational product revision, field testing stage, product revision stage final, and also the socialization and implementation stages. A structured system design is needed at this stage where in general the design consists of system design, database design, interface design, and prototype product design. It is hoped that this marketplace application with a single vendor system can improve the quality of management thereby increasing business profits.
Design of a Food Detection System for Environmental Care Education: Perancangan Sistem Deteksi Makanan untuk Pendidikan Peduli Lingkungan Betri, Tigus Juni; Ibrahim, Ramdan
Journal of Vocational Education and Information Technology (JVEIT) Vol. 5 No. 2 (2024): Vol. 5 No. 2 (2024)
Publisher : Lembaga Pengembangan dan Inovasi Universitas Dharmas Indonesia

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Abstract

The food waste phenomenon in Indonesia now reaches 300 kg of food waste per person every year. This shows the urgency of environmental awareness in our society. Technology is increasingly developing but is not balanced with maximum use to preserve the earth. One of the latest technological trends, namely Artificial Intelligence, is an option that can be developed to educate the public about waste awareness. This research aims to create a design using the concept of Artificial Intelligence, namely pattern recognition for food detection to anticipate too much food waste in the food industry, namely restaurants. The design was carried out using the waterfall method which allows the design process to run coherently and precisely. Based on literature studies and expert analysis, the results of this research show that design in the form of system design and database design can be used as a basis for developing food detection applications
Applying Secure Programming Techniques to Protect C hildren from Cyber Threats Betri, Tigus Juni
Innovative: Journal Of Social Science Research Vol. 5 No. 3 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i3.19891

Abstract

Salah satu bahaya internet adalah kontennya yang melimpah, yang sangat rentan disalahgunakan oleh anak-anak tanpa pengawasan. Salah satu pendekatan untuk melindungi anak-anak dari ancaman ini adalah dengan memanfaatkan teknik peretasan yang sederhana namun efektif yang dikenal sebagai keylogger. Penelitian ini bertujuan untuk mengeksplorasi penerapan teknik keylogging sebagai alat untuk melindungi anak-anak dari risiko yang terkait dengan penggunaan internet. Metode yang digunakan dalam penelitian ini adalah Penelitian dan Pengembangan (R&D), dengan fokus pada pengembangan keylogger menggunakan bahasa pemrograman Python. Temuan penelitian menunjukkan bahwa pengembangan keylogger berbasis Python sangat layak untuk diimplementasikan dalam melindungi anak-anak dari bahaya online. Teknik ini menawarkan keuntungan dalam kesederhanaan penerapannya dan kemampuannya untuk menghindari deteksi oleh sistem operasi dan perangkat lunak antivirus. Dengan demikian, keylogger dapat berfungsi sebagai alat yang efektif untuk memantau.
Gesture to Speech Transformation: A Real-Time Sign Language Alphabet Recognition System for Digital Inclusion of the Speech Impaired Community Juni Betri, Tigus
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 6 (2026): SPECIAL ISSUE: Sustainable Innovation at the Intersection of Economics, Technology, L
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v6i1.1247

Abstract

Access to communication is a fundamental right of every individual, including the speech-impaired community, which often faces limitations in social interaction. This study designs a real-time system that transforms sign language alphabet gestures into speech by utilizing Computer Vision and Deep Learning technologies. A sign language alphabet dataset is processed using a Convolutional Neural Network (CNN) to recognize visual hand patterns representing letters A–Z. The trained model is then integrated with OpenCV and Mediapipe for real-time hand gesture detection and connected to a speech synthesis engine so that the recognized letters can be automatically spoken. The results demonstrate the system’s potential as a basic communication bridge that supports digital inclusion for the speech-impaired community. From a sustainable development perspective, this innovation is relevant to SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities), as it enables more equitable, inclusive, and sustainable social interaction in the era of digital transformation. This innovation can also serve as a foundation for further development toward an automatic sign language translator capable of recognizing full words and complete sentences. Consequently, this system has strong potential to become a practical solution for ensuring equal access to communication across various sectors, including education, public services, and the workplace.
Data Science Analysis on UIN Raden Mas Said’s Media Accounts Betri, Tigus Juni; Fadhilah, Haya Nur; Nugroho, Galih Fajar
International Journal of Science and Applied Science: Conference Series Vol 8, No 1 (2024): International Journal of Science and Applied Science: Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijsascs.v7i2.96733

Abstract

Abstract: Social Media is an important part of human life in this era. Instagram is not only effective for communication but also effective for promotional activities. Ideally, every promotional content is created based on the target market. The Instagram account @uin.surakarta provides information about the Raden Mas Said Surakarta State Islamic University. Social media analysis with data science innovation allows institutions or account owners to easily identify audiences and understand their needs regarding the content displayed. This aims to enable social media account owners to create effective marketing strategies, present more targeted content products, and improve audience relationships. This study aims to analyze and provide data science innovations to support institutional promotional activities. The research method used is descriptive qualitative. The study results show that these accounts can be more useful with the right data approach
Co-Authors Alfonsa Maria Sari Alfonsa Maria Sofia Hapsari Della Arinta Putri Dyka Nasution Ema Utami Fadhilah, Haya Nur Hanif Al Fatta Hapsari, Alfonsa Maria Sofia Ibrahim, Ramdan Nasution, Dyka Nugroho, Galih Fajar Sari, Alfonsa Maria