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All Journal Jiko (Jurnal Informatika dan komputer) Dinasti International Journal of Digital Business Management Jurnal Mandiri IT Jurnal Abdimas Perbanas Jurnal Kewirausahaan, Akuntansi, dan Manajemen TRI BISNIS Journal of Community Service and Society Empowerment Jurnal Abdimas: Sosial, Bisnis, dan Lingkungan
Fabrianto, Luky
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences

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Sosialisasi Social Media Marketing untuk Meningkatkan Pemasaran Yayasan Al-Birru Indonesia Jaya Safitri, Rizky Ade; Prakoso, Bobby Suryo; Prasetyo, Johan Hendri; Fabrianto, Luky; Wiharso, Gani; Nabilah, Saripah; Yuwanda, Henny; Abdullah, Hamzah Ali; Afriano, Daniel Chandra; Febrianti, Nurlia
Jurnal Abdimas Perbanas Vol. 3 No. 1 (2022): Jurnal Abdimas Perbanas
Publisher : Perbanas Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (888.576 KB) | DOI: 10.56174/jap.v3i1.475

Abstract

Covid-19 has become a world frightening global pandemic in humans history including in Indonesia. This resulted in large-scale social restrictions that have an impact to all business sectors in Indonesia, including the Al-Birru Indonesia Jaya Foundation, which is a non-profit organization at Bekasi. Therefore, it is necessary to use social media in order to increase the marketing of Al-Birru Indonesia Jaya Foundation so that it will continue to exist and help the orphans and poor people to get better education. According to these reasons background, Universitas Nusa Mandiri held a socialization through social media marketing to increase the marketing of the Al-Birru Indonesia Jaya Foundation. The types of outputs produced from this community service activity are in the form of press releases in electronic print media, and documentation in the form of photos of community service itself. The purpose from this socialization are to introduce Facebook-Ads and Instagram-Ads applications as marketing media and convey appropriate strategies to increase the marketing of the Al-Birru Indonesia Jaya Foundation so that it would get better known in the public and also would have an impact to the income of the Al-Birru Indonesia Jaya Foundation in an efforts to help orphans and poor people get a better education. The result of this socialization is to improved the knowledge and understanding from the participants relates to on how to use social media marketing properly and appropriately with hopes to improve the marketing of the Foundation so it would get better known by the wider community
Pelatihan Kepemimpinan: From Organization to Become the Best Leader Prasetyo, Johan Hendri; Wiharso, Gani; Fabrianto, Luky; Safitri, Rizky Ade
Jurnal Abdimas: Sosial, Bisnis, dan Lingkungan Vol. 1 No. 2 (2024): April - September 2024
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/abdimas.v1i2.1127

Abstract

The community service activity holds a crucial urgency in raising awareness about the significant role of youth in village development, particularly in Ragunan District. By organizing the "Leadership Training: From Organization to Become The Best Leader" event, the primary aim is to provide a profound understanding of effective leadership for the younger generation, especially for the management of Karang Taruna RW 01 Ragunan. Through a series of leadership training and skill development, it is expected that participants can lead more effectively and actively contribute to the advancement of their villages. The targeted outcomes include the enhancement of quality and capacity among youth in leadership, innovation, and contribution to village development, as well as the establishment of strong networking and collaboration among youth in Ragunan District.
E-COMMERCE: THE IMPORTANCE ROLE OF CUSTOMER PERCEIVED VALUE IN INCREASING ONLINE REPURCHASE INTENTION Prasetyo, Johan Hendri; Prakoso, Bobby Suryo; Wiharso, Gani; Fabrianto, Luky
Dinasti International Journal of Digital Business Management Vol. 2 No. 6 (2021): Dinasti International Journal of Digital Business Management (October - Novembe
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijdbm.v2i6.954

Abstract

In the midst of digital business growth rapidly and Covid-19 pandemic that has lasted for several years, people tends to carry out all their activities from home, including fulfilling their needs through various e-commerce services. This research model intends to investigate the important role from customer perceived value in increasing online repurchase intention on various e-commerce sites in Indonesia, such as Shopee, Tokopedia, Bukalapak, Lazada and Blibli. This research method designed by quantitative causality with a total sample of 310 people through snowball sampling. The analytical method used AMOS-SEM to verified the role of customer value perceptions. This results shows that customer perceived value indirectly act as an crucial part in increasing the influence from e-service quality, ease of use, store image and online promotion on online repurchase intention.
Web-based student Course Registration System (KRS) using the Extreme Programming (XP) method Ali, Iman; Faizah, Novianti Madhona; Nurcahyo, Widyat; Fabrianto, Luky
Jurnal Mandiri IT Vol. 13 No. 3 (2025): January: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i3.363

Abstract

This research aims to design and develop a web-based Study Plan Card (KRS) system. The background of this study arises from challenges in the manual KRS process, which is time-consuming, prone to errors, and complicates information access. The development method employed is Extreme Programming (XP), which enables iterative system development and responsiveness to changing requirements. Data collection was conducted through observations, interviews, and document studies. The system was developed using PHP with the CodeIgniter 4 framework and MySQL database. The results indicate that the web-based KRS system enhances the efficiency of the KRS process, reduces data entry errors, and facilitates information access for students. Key features of the system include online KRS completion, digital signing by academic advisors, and integration with other academic information systems. System evaluation shows a significant improvement in data accuracy, accessibility, and information security. In conclusion, the implementation of this web-based KRS system successfully addresses issues in the manual KRS process, improves the quality of academic services, and provides an effective solution for KRS management
OPTIMIZING HADITH CLASSIFICATION WITH NEURAL NETWORKS: A STUDY ON BUKHARI AND MUSLIM TEXTS Rasenda, Rasenda; Fabrianto, Luky; Faizah, Novianti Madhona
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 2 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8732

Abstract

The Bukhari and Muslim hadith collections encompass a total of 7008 hadith sentences, but it is not immediately clear which of these hadiths fall into the categories of prohibitions or orders. To enhance understanding and accessibility for readers, this study focuses on classifying these hadiths through a systematic process. The classification involves several key stages: Text Pre-processing, pre-processing the raw text data to clean and normalize (Stemming, Stopword Removal and Tokenization), Word vector features are extracted to capture the semantic relationships and contextual meanings of the words, then processed into a neural network model based on a multilayer perceptron (MLP) architecture (Model Architecture, Training and Optimization). The approach leverages the strength of neural networks, particularly through the use of multiple layers and feature extraction via word vectors, which significantly contributes to the accuracy of the classification process. The results of the study is very good, with a high accuracy rate of 97.72% achieved by employing a model with two layers and 256 neurons
Facial image protection with visual cryptography and random least significant bit (LSB) steganography Karo Karo, Panser; Simarmata , Simon; Faizah, Novianti Madhona; Fabrianto, Luky
Jurnal Mandiri IT Vol. 13 No. 4 (2025): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i4.392

Abstract

The confidentiality of sensitive data—such as personal information of individuals who may pose security threats to client assets—must be strictly maintained. This data includes personal details such as name, ID number, address, date of birth, occupation, and photographs (images). The data protection process involves combining textual data (ID number, name, date of birth) with a photo into a single image, which is then processed using visual cryptography. The visual cryptography technique applied is the (k, n) scheme with a 2-out-of-k configuration. To enhance data security and confidentiality through dual-layer protection, the output from the visual cryptography process is further secured using steganography with the random LSB (Least Significant Bit) method, applied to one of the shares obtained from the previous step. The best result achieved during testing was a PSNR of 71.9977 and an MSE of 0.0041. It is expected that the combination of visual cryptography and steganography methods will significantly enhance the security of data storage to protecting it from unauthorized access.
Attention-based convolutional neural networks for interpretable classification of maritime equipment fabrianto, luky; Prihandayani, Tiwuk Wahyuli; Rasenda, Rasenda; Faizah, Novianti Madhona
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.426

Abstract

This study introduces a Convolutional Neural Network with an Attention Mechanism (CNN+AM), utilizing the Squeeze-and-Excitation (SE) block, to classify critical ship components: generators, engines, and oil-water separators (OWS). The SE block enhances the model's ability to focus on discriminative features, thereby improving classification performance. To overcome the limitation of the original dataset, which contained only 199 images, extensive data augmentation techniques were applied, expanding the dataset to 2,648 images. The augmented dataset was divided into training (70%), validation (15%), and testing (15%) sets to ensure reliable evaluation. Experimental results show that the CNN-AM achieved an accuracy of 72.39%, surpassing the baseline CNN model with 68.16%. These findings confirm that the attention mechanism significantly improves generalization and the ability to differentiate visually similar classes. Furthermore, the integration of interpretability tools, such as Gradient-weighted Class Activation Mapping (Grad-CAM), provides visual explanations of model predictions, increasing trust and reliability for safety-critical maritime applications. The proposed approach demonstrates strong potential for real-time ship component monitoring, offering meaningful contributions to predictive maintenance and operational safety within the maritime industry.
The Influence of TikTok Ads and Consumer Behavior on Purchasing Decisions at Sari Kusuma Eye Therapy Services 99 Abdullah, Hamzah Ali; Fabrianto, Luky
JURNAL KEWIRAUSAHAAN, AKUNTANSI DAN MANAJEMEN TRI BISNIS Vol 7 No 1a (2025): Jurnal Kewirausahaan, Akuntansi, dan Manajemen (Special Issue)
Publisher : STIE Tri Bhakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59806/jkamtb.v7iSpecial Issue 1.701

Abstract

This study aims to analyze the influence of TikTok Ads and consumer behavior on purchasing decisions in Sari Kusuma 99 eye therapy services. The main problem raised is the still limited understanding of the effectiveness of digital marketing through the TikTok platform and how consumer behavior plays a role in the purchasing decision-making process in healthcare services. This study uses a quantitative method with a survey approach. Data were collected through questionnaires distributed to respondents who had seen or been exposed to Sari Kusuma 99 TikTok Ads. The data analysis technique was carried out using Structural Equation Modeling Partial Least Square (SEM-PLS) with the help of the SmartPLS version 3 application to obtain more accurate and comprehensive results. The results show that TikTok Ads and consumer behavior simultaneously have a significant influence on purchasing decisions, with an R Square value of 83.3%. Consumer behavior was found to be the most dominant factor in influencing purchasing decisions, while TikTok Ads also have a significant influence although at a more moderate level. These findings emphasize the importance of integrating digital marketing strategies with an understanding of consumer behavior to increase promotional effectiveness while driving purchasing decisions in the digital business era. This research is expected to contribute to the development of digital marketing theory and become a practical reference for healthcare companies in designing more effective, targeted, and highly competitive promotional strategies
Teknik Pengemasan Produk Usaha Mikro Kecil Menengah (UMKM) Syukur, Agus; Puspita, Ratna; Fabrianto, Luky; Tsabitah, Aida Salma; Bilqis, Shahnaz Hafiza; Rahman, Dafih Okta
Journal of Community Service and Society Empowerment Том 3 № 03 (2025): Journal of Community Service and Society Empowerment
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jcsse.v3i03.1978

Abstract

Product packaging for Usaha Mikro Kecil Menengah (UMKM) is highly urgent as a marketing strategy that not only protects the product but also increases sales value, brand differentiation, and consumer trust. The purpose of this community service activity is to provide understanding and training in effective, functional, and aesthetic packaging techniques, in accordance with the principles of informative, environmentally friendly, and market-oriented design. The targeted output is to increase the ability of UMKM to design attractive and professional packaging, be able to compete in the modern market, and implement innovations such aseco-packagingand smart packaging through Quick Response/QR Code integration. It is hoped that through this assistance, UMKM can optimize the function of packaging as a promotional and product protection tool, while simultaneously increasing the competitiveness and economic value of their products.
Co-Authors Abdullah, Hamzah Ali Afriano, Daniel Chandra Ali, Iman Bilqis, Shahnaz Hafiza Faizah, Novianti Madhona Febrianti, Nurlia Gani Wiharso Karo Karo, Panser Nabilah, Saripah Nurcahyo, Widyat Prakoso, Bobby Suryo Prasetyo, Johan Hendri Prihandayani, Tiwuk Wahyuli Rahman, Dafih Okta Rasenda, Rasenda Ratna Puspita, Ratna Safitri, Rizky Ade Simon Simarmata Syukur, Agus Tsabitah, Aida Salma Yuwanda, Henny