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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jiko (Jurnal Informatika dan komputer) Dinasti International Journal of Digital Business Management Jurnal Mandiri IT Jurnal Abdimas Perbanas Jurnal Pariwisata, Bisnis Digital dan Manajemen 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 Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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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 : Institut Keuangan-Perbankan Dan Informatika Asia Perbanas

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.
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.
Korelasi Antara Profil dan Nilai Akademis Siswa dengan Menggunakan Algoritma K-Means Surohman, Surohman; Fabrianto, Luky; Riza, Faiza; Faizah, Novianti M
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 4: Agustus 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021843034

Abstract

Hampir setiap pelajar di Indonesia terdaftar dengan atribut profil yang lengkap, seperti : Nama, Jenis Kelamin, Jenis Tinggal, Alat Transportasi, Usia Orangtua, Pendidikan Orangtua, Pekerjaan Orangtua, Penghasilan Orangtua dan atribut lainnya. Dari data atribut profil tersebut dapat diklasterisasi berdasarkan kedekatan nilai antara atribut yang dimiliki masing-masing siswa. Disisi lain siswa juga memiliki data yang berisi nilai akademis yang juga dapat dibuat klasterisasi.Data yang dipakai dalam penelitian ini melibatkan 512 instances yang didapat dari sebuah Sekolah Menengah Kejuruan (SMK)  di Jakarta. Metode yang pakai untuk klasterisasi menggunakan algoritma K-Means. Penelitian ini akan mencari korelasi klasterisasi profil siswa terhadap nilai akademisnya.Tahapan penelitian diawali dengan persiapan dataset profil dan dataset nilai siswa, atribut dari dataset profil yang dipakai hanya atribut yang dianggap dapat merepresentasikan profil siswa dan keluarganya. Tahap berikutnya adalah mentrasformasi data atribut non numerik  (kategorik dan interval) menjadi numerik. Dilanjutkan dengan tahap perhitungan jarak antar data dan tahap terakhir mencari pola korelasi antara klaster profil dan klaster nilai akademis yang terbentuk.Dengan metode elbow jumlah klaster yang paling ideal dalam penelitian ini adalah antara 3 dan 4 klaster, dimana nilai Silhoutte Coefficient tertinggi adalah 0,8103 untuk penglompokan 3 klaster. AbstractAlmost every student in Indonesia is registered with complete profile attributes, such as: Name, Gender, Type of Stay, Transportation Equipment, Parents' Age, Parental Education, Parents' Work, Parents' Earnings and other attributes. From the profile attribute data it can be clustered based on the closeness of the values between the attributes possessed by each student. On the other hand students also have attribute data that contains academic values that can also be clustered.The data used in this study involved 512 instances obtained from a Vocational High School (SMK) in Jakarta. The method used for clustering is using the K-Means algorithm. This research will look for correlation of student profile clustering to its academic value.The stages of the research began with the preparation of the profile dataset and the student value dataset, the attributes of the profile dataset used were only those attributes that were considered to represent the profiles of students and their families. The next step is to transform non-numeric attribute data (categorical and interval) into numeric. Followed by the stage of calculating the distance between data and the final stage looking for patterns of correlation between profile clusters and academic value clusters that are formed.With the elbow method, the most ideal number of clusters in this study is between 3 and 4 clusters, where the highest Silhoutte Coefficient value is 0.8103 for grouping 3 clusters.
Pelatihan Pengenalan Teknologi san Digitalisasi untuk Bisnis UMKM Prasetyo, Johan Hendri; Fabrianto, Luky; Wiharso, Gani; Puspita, Ratna
Jurnal Abdimas Perbanas Vol. 6 No. 1 (2025): Jurnal Abdimas Perbanas
Publisher : Institut Keuangan-Perbankan Dan Informatika Asia Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56174/jap.v6i1.796

Abstract

In today’s fast-paced digital era, MSMEs in Bekasi City face significant challenges in integrating digital technology into their business operations. Many lack the knowledge and skills needed to adopt technology effectively, making them vulnerable to competitive disadvantages, limited market expansion, and exposure to digital security threats. To address these issues, comprehensive digital literacy training is essential to empower MSME actors to utilize technology in a safe and efficient manner that supports business growth. The "Introduction to Technology and Digitalization for MSME Businesses" training program is designed to equip participants with foundational knowledge of computers and the internet, effective use of social media as a marketing tool, and the basics of digital security to safeguard business information. By participating in this program, MSME actors from the UMKM Naik Kelas community in Bekasi are expected to improve their ability to adopt digital solutions, expand market reach, and enhance competitiveness. This initiative aims to produce tangible outcomes, including increased understanding of digital tools, practical application of social media for business promotion, and heightened awareness of cybersecurity measures. These skills will enable MSME actors to modernize their operations, better integrate technology, and ultimately strengthen their business resilience and economic contributions. With enhanced digital capabilities, MSMEs can achieve sustained growth, reinforce their presence in the marketplace, and contribute more effectively to local economic development.
Co-Authors Abdullah, Hamzah Ali Afriano, Daniel Chandra Ali, Iman Bilqis, Shahnaz Hafiza Faizah, Novianti M 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 Riza, Faiza Rizky Ade Safitri Simon Simarmata Surohman, Surohman Syukur, Agus Tsabitah, Aida Salma Yuwanda, Henny