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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnas Nasional Teknologi dan Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Panrita Abdi - Jurnal Pengabdian pada Masyarakat JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Komputer Terapan JURNAL ILMIAH INFORMATIKA ILKOM Jurnal Ilmiah Computer Based Information System Journal JSiI (Jurnal Sistem Informasi) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Ihsan: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Multidisiplin Altruis: Journal of Community Services Jurnal Puan Indonesia Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Medani : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Ibnu Sina Jurnal Pengabdian Barelang Jurnal Tiyasadarma: Jurnal Pengabdian Kepada Masyarakat Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) Jurnal Publikasi Teknik Informatika
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Penerapan Metode Fuzzy Sugeno Untuk Menentukan Kelayakan Pengiriman Limbah Barang Berbahaya Dan Beracun Alfannisa Annurrallah Fajrin; Tukino Tukino
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8118

Abstract

PT Semesta Citra Alam Batam is engaged in waste management and is located in the city of Batam. The waste collected by PT Semesta Citra Alam Batam is gathered at a waste collection warehouse located in the Industrial Waste Management Area of Batam City. The collected waste must be transported to waste utilization or hazardous waste disposal facilities. The data collection technique in this research is through observation and interviews conducted at PT Semesta Citra Alam Batam. The data analysis method used is fuzzy logic with the Sugeno method, which involves four stages: fuzzification, forming a fuzzy knowledge base, inference engine, and defuzzification. The research results from the application of fuzzy logic to determine the shipment of hazardous waste (B3 waste) at PT Semesta Citra Alam Batam involve both input and output variables. The input variables consist of load, content, and the output variable is a decision made using Matlab. These variables will generate rules that will be used to determine whether to send the waste or not.
Pelatihan Membangun Keunggulan Bersaing UMKM Melalui Pemasaran Online Di Kota Batam Tukino Tukino; Erlin Elisa; Algifanri Maulana; Yvonne Wangdra; Ronald Wangdra; Suvianto Wangdra
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8133

Abstract

The implementation of community service activities will take the form of Empowerment of E-Commerce-Based Marketing located at Rindang Garden Block B2 No. 04, Buliang Village, Batu Aji District, Batam. Based on the field interview results, the Small and Medium-sized Enterprises (UMKM) Rafflesia face challenges in marketing their products. In general, UMKM businesses have limitations in mastering information technology facilities and marketing media that are not well-known to the public. Conventional business owners feel that accounting recording is a cumbersome task. The training method used is to provide training through an online website. The methods used in the development of UMKM Rafflesia include survey methods, lecture methods, discussion methods, and training methods. The sustainability of the results of this coaching activity is expected to enable UMKM Rafflesia to manage online marketing effectively.
Implementation Of Deep Learning Using Convolutional Neural Network Method In A Rupiah Banknote Detection System For Those With Low Vision Akhiyar, Dinul; Tukino, Tukino; Defit, Sarjon
ILKOM Jurnal Ilmiah Vol 17, No 1 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i1.2253.34-43

Abstract

The application of deep learning in various sectors continues to grow due to its ability to provide efficient and effective solutions to complex problems. One significant implementation is in object detection, such as identifying Indonesian rupiah banknotes. This innovation aims to assist individuals with visual impairments in using money more effectively. At present, visually impaired individuals rely on conventional methods, such as identifying banknotes by touch, folding them in specific ways, or seeking assistance from others. However, these methods are often time-consuming, prone to error, and lack practicality in everyday situations. In this project, a system was developed using the Convolutional Neural Network (CNN) architecture combined with the YOLO (You Only Look Once) algorithm. YOLO is renowned for its speed and accuracy in real-time object detection, making it an ideal choice for detecting banknotes in moving images. The training dataset included 1,260 images, and the model underwent 7,000 iterations during training. As a result, the system achieved a high mean Average Precision (mAP) score of 97.65%, demonstrating its robustness and precision. For validation, 140 test images were utilized, which yielded an impressive mAP value of 97.5%. To further evaluate the system's reliability, tests were conducted under varying conditions, such as banknotes with creases, folds, or different lighting scenarios. These tests resulted in an mAP score of 88%, showcasing the system's adaptability to real-world conditions. This system provides significant benefits for individuals with visual impairments by offering a practical, efficient, and accurate solution for recognizing banknotes. With this technology, visually impaired users can interact with currency independently, reducing their reliance on others and traditional, less practical methods. This innovation not only enhances their autonomy but also fosters inclusivity in financial transactions. By integrating this system into mobile applications or wearable devices, its accessibility and usability can be further improved, paving the way for a broader societal impact.
Analysis of the Use of Distance Learning Technology in Universities in the Riau Islands Province with the Technology Acceptance Model (TAM) Hendi Sama; Tony Wibowo; Tukino
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.5836

Abstract

The problem that is the focus of the research is the use of distance learning technology at universities in the Riau Islands Province using the Technology Acceptance Model approach. This research aims to analyze user perceptions on ease of use, usability, usage behavior, and use of distance learning technology. This research aims to determine user perceptions of distance learning technology in universities in the Riau Islands Province. Apart from that, this research also aims to evaluate the influence of the ease of use perspective, usability perspective, and usage behavior on the use of distance learning technology. The research results show that research respondents, who are academics and staff at universities in the Riau Islands Province, have a high perception of distance learning technology. From the test results, it was found that there was no significant influence between the ease of se perspective and the usability perspective on the use of distance learning technology. However, usage behavior has a significant influence on the use of distance learning technology. Apart from that, these three variables together have an influence of 69.70% on the use of distance learning technology.
Desain Front-End Aplikasi Urban Store dengan Metode User Centered Design Menggunakan Flutter Ammar Zuhair; Bayu Priyatna; Tukino Tukino
Jurnal Publikasi Teknik Informatika Vol. 4 No. 2 (2025): Mei : Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v4i2.4936

Abstract

The rapid growth of e-commerce platform has increased the demand for mobile applications with attractive and user-friendly interfaces. This study focuses on designing anda developing the front-end of the Urban Store fashion application using the User Centered Design (UCD) approach and the Flutter . UCD is implemented to ensure that design process prioritizes user needs and preferences through the stages of planning, research, design, adaptation, and evaluation. The prototype was created using Figma, covering key features sush as login, homepage, checkout, profile pages. Implementation was carried out using Flutter and the Dart programming language interface evaluation was conducted using the System Usability Scale (SUS) method with 15 respondents, resulting in an average SUS score of 84,0, which falls into the “good” category. These results demonstrate that the UCD approach effectively produces a responsive and intuitive UI/UX design that aligns with user expectations. This research contributes to the development of user-experience -oriented intefaces for mobile-based e-commerce applications.
PENERAPAN ALGORITMA APRIORI DALAM MENENTUKAN TREND PENJUALAN MOBIL PADA RODA MAS SUZUKI ceni kirani valensyah; Tukino Tukino
Computer Based Information System Journal Vol. 13 No. 1 (2025): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v13i1.9557

Abstract

This study aims to understand the process of data analysis using the Apriori Algorithm to determine sales levels, identify trends in car sales to boost sales, and develop sales strategies. It focuses on identifying trends and sales patterns of cars at Roda Mas Suzuki, applying the Apriori algorithm to uncover associations between sold car types, and providing data-driven recommendations to management for more effective sales strategies.The research employs a quantitative method using the Apriori algorithm. The findings reveal that data mining association rules can be utilized to manage and leverage data to enhance sales strategies. Based on the 2024 Roda Mas Suzuki sales data, the combinations with the highest support and confidence values are NEW CARRY PICK UP - NEW XL 7 (24.11%-50.94%) and ALL NEW ERTIGA - NEW CARRY PICK UP (23.21%-50%).This analysis can assist in managing stock for marketing purposes, preventing the accumulation of less demanded products, which could lead to future losses. The Apriori algorithm in this study proves effective in identifying frequently purchased product combinations by consumers, providing valuable insights to Roda Mas Suzuki for optimizing their marketing strategies.
Co-Authors Abdul Latif alfannisa annurrallah fajrin Alfannisa Annurrallah Fajrin Alfannisa Annurrullah Fajrin Alfannisa Annurullah Fajrin Alfannisa Fajrin Algifanri Maulana, Algifanri Algifari Maulana Ali Abrar Ammar Zuhair Amrizal . Amrizal Amrizal Amrizal Amrizal Anggia Arista Anggia Dasa Putri Argo Putra Prima Arif Rahman Hakim Arif Rahman Hakim Arnomo, Sasa Ani Bahariandi Aji Prasetyo Baru Harahap ceni kirani valensyah Citra Indah Asmarawati Dian Efriyenti Dian Efriyenti Dinul Akhiyar Djumhadi Djumhadi Elisa, Erlin Elsya Tarigan Paskaria Loyda Tarigan Elva Susanti Erlin Elisa Handoko, Koko Harman, Rika Muhammad Taufik Syastra NANDA HARRY MARDIKA Nofriani Fajrah, Nofriani Priyatna, Bayu Realize, Realize Rizki Prakasa Hasibuan Rohman Nurafan Putra Pratama Ronald Wangdra Sama, Hendi Sarjon Defit Steven Famy Suvianto Wangdra Syaeful Akbar Syahril Effendi Wibowo, Tony Winda Yohanna Siahaan Young, Filbert Yvonne Wangdra