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Cyberbullying on Multicultural Education a Coastal Community Perspective: Systematic literature review Susanti, Nanik; Adiyono, Soni; Romadhon, Zainur
International Journal of Marine Engineering Innovation and Research Vol 9, No 1 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.19805

This research explores the pervasive issue of cyberbullying, primarily targeting children and teenagers due to their close proximity to communication technologies. Cyberbullying manifests through various forms such as flaming, harassment, and identity impersonation, causing significant psychological and academic impacts on victims. The study, based on a selection of 30 Scopus publications, reveals that cyberstalking holds the highest classification at 90%, followed by flaming at 73%. The consequences of cyberbullying are classified into social (67%), psychological (63%), and academic (57%) impacts. The research emphasizes the need for specific knowledge about cyberbullying in coastal communities, where victims experience feelings of insecurity, isolation, and reduced academic concentration. The conclusion highlights the importance of raising awareness, implementing literacy programs, and enforcing regulations to combat cyberbullying, especially in the context of the Fourth Industrial Revolution. The findings provide valuable insights into the coastal community's perception of cyberbullying, urging parents to play an active role in safeguarding their children and promoting digital literacy.

Cyberbullying on Multicultural Education a Coastal Community Perspective: Systematic literature review Nanik Susanti; Soni Adiyono; Zainur Romadhon
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 1 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.5053

This research explores the pervasive issue of cyberbullying, primarily targeting children and teenagers due to their close proximity to communication technologies. Cyberbullying manifests through various forms such as flaming, harassment, and identity impersonation, causing significant psychological and academic impacts on victims. The study, based on a selection of 30 Scopus publications, reveals that cyberstalking holds the highest classification at 90%, followed by flaming at 73%. The consequences of cyberbullying are classified into social (67%), psychological (63%), and academic (57%) impacts. The research emphasizes the need for specific knowledge about cyberbullying in coastal communities, where victims experience feelings of insecurity, isolation, and reduced academic concentration. The conclusion highlights the importance of raising awareness, implementing literacy programs, and enforcing regulations to combat cyberbullying, especially in the context of the Fourth Industrial Revolution. The findings provide valuable insights into the coastal community's perception of cyberbullying, urging parents to play an active role in safeguarding their children and promoting digital literacy.

Digitalisasi pengelolaan penyiangan buku melalui implementasi sipena buku berbasis web menggunakan metode RAD di perpustakaan daerah Kabupaten Kudus Intan Firdausatul Salsabilla; Zainur Romadhon
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39745

Abstrak Pengelolaan penyiangan buku di Perpustakaan Daerah Kabupaten Kudus masih dilakukan secara manual menggunakan formulir kertas dan Microsoft Excel, sehingga menyebabkan pencatatan yang tidak terintegrasi, rawan kehilangan data, dan pelaporan yang tidak efisien. Kegiatan ini bertujuan mendigitalisasi pengelolaan penyiangan koleksi buku melalui pengembangan dan implementasi Sistem Informasi Penyiangan Buku berbasis web di Dinas Arsip dan Perpustakaan Daerah Kabupaten Kudus. Mitra sasaran kegiatan adalah Perpustakaan Daerah Kabupaten Kudus dengan tiga kelompok pengguna yang terlibat, yaitu Admin, Petugas, dan Kepala Perpustakaan, dengan total 5 peserta yang berpartisipasi aktif dalam proses pengembangan dan implementasi sistem. Metode pelaksanaan menggunakan Rapid Application Development yang terdiri atas empat fase, yaitu perencanaan kebutuhan, perancangan bersama pengguna, konstruksi sistem, dan implementasi. Pengumpulan data dilakukan melalui observasi lapangan, wawancara terstruktur, dan studi literatur. Hasil kegiatan menunjukkan bahwa sistem berhasil dibangun dengan 11 modul fungsional yang dilengkapi mekanisme kontrol akses berbasis peran untuk ketiga pengguna. Modul inti penyiangan buku mampu mencatat proses penyiangan secara digital, memperbarui stok buku secara otomatis, dan merekam seluruh riwayat aktivitas pengguna. Pengujian fungsional terhadap 60 skenario uji pada 9 modul menghasilkan tingkat keberhasilan 100%, sehingga sistem dinyatakan layak diimplementasikan dan terbukti mampu meningkatkan efisiensi serta akurasi pengelolaan penyiangan buku di Perpustakaan Daerah Kabupaten Kudus. Kata kunci: penyiangan buku; sistem informasi perpustakaan; rapid application development; digitalisasi; berbasis Web. Abstract Book weeding management at the Kudus Regency Regional Library is still carried out manually using paper forms and Microsoft Excel, resulting in unintegrated recording, prone to data loss, and inefficient reporting. This activity aims to digitize the management of book collection weeding through the development and implementation of a web-based Book Weeding Information System at the Kudus Regency Regional Library and Archives Service. The target partners of the activity are the Kudus Regency Regional Library with three user groups involved, namely Admin, Officer, and Head of Library, with a total of 5 participants actively participating in the system development and implementation process. The implementation method uses Rapid Application Development which consists of four phases, namely needs planning, design with users, system construction, and implementation. Data collection was carried out through field observations, structured interviews, and literature studies. The results of the activity show that the system was successfully built with 11 functional modules equipped with role-based access control mechanisms for the three users. The core book weeding module is able to record the weeding process digitally, update book stock automatically, and record the entire history of user activity. Functional testing of 60 test scenarios in 9 modules resulted in a 100% success rate, so the system was declared feasible to implement and proven to be able to increase the efficiency and accuracy of book weeding management at the Kudus Regency Regional Library. Keywords: book weeding; library information system; rapid application development; digitalization; web-based.

Integration of Artificial Intelligence and Blockchain in Inventory Systems for Enhanced Forecasting and Data Security R. Rhoedy Setiawan; Zainur Romadhon
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i2.792

Purpose: This study evaluated an inventory system integrating LSTM forecasting and Hyperledger Fabric blockchain to improve prediction accuracy and transaction integrity. Design/Methods: A design-and-development approach used 12,450 inventory records from Retail Company X (January 2021-December 2023), split chronologically into 70% training, 15% validation, and 15% testing subsets. The LSTM used two hidden layers, 128 units per layer, dropout 0.2, Adam optimizer, learning rate 0.001, batch size 64, and 100 epochs. Blockchain used Hyperledger Fabric with Raft consensus. Evaluation included forecasting benchmarks, 50 stock-modification simulations, and 45 purposively recruited users after hands-on prototype interaction. Findings: LSTM achieved MAE 3.2% and RMSE 4.5%, outperforming Moving Average and Exponential Smoothing. A two-tailed paired-samples t-test across 62 matched testing windows against Exponential Smoothing confirmed significant improvement (t(61) = -5.34, p < 0.001, Cohen's dz = 0.68). Blockchain detected 48 of 50 unauthorized stock modifications, producing a 96% detection rate with two missed detections (4%) and 120 ms latency. User evaluation was positive across forecast accuracy, security, transparency, ease of use, and intention to use. Implications: The prototype can support inventory planning, auditability, and secure transaction records. Originality: The study empirically combines AI forecasting, permissioned blockchain integrity, and user acceptance in one inventory workflow.

Rancang Bangun Sistem Informasi Reservasi Hotel B2B dalam Meningkatkan Pelayanan PT. MAIS Kudus Nanda Bagus Yulianto; Zainur Romadhon
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1322

PT. MAIS Kudus menghadapi kendala birokrasi komunikasi horizontal via WhatsApp yang memicu risiko kesalahan kalkulasi nota tagihan dan pemesanan ganda kuota kamar hotel umrah. Kegiatan pengabdian masyarakat melalui program Praktik Kerja Lapangan ini bertujuan mentransformasikan sistem reservasi konvensional menjadi platform digital B2B satu pintu yang transparan. Metode yang diterapkan meliputi analisis kebutuhan sistem, pembuatan perangkat lunak, serta pelatihan kompetensi terstruktur bagi manajer operasional, staf keuangan, dan perwakilan biro mitra. Evaluasi dilakukan secara objektif melalui matriks komparasi sebelum dan sesudah implementasi sistem. Hasil kegiatan menunjukkan peningkatan hardskill operasional mitra secara signifikan, ditandai dengan pemangkasan durasi pengecekan kuota kamar secara mandiri sebesar 99% dari 15-45 menit menjadi di bawah 5 detik. Lebih lanjut, sistem ini berhasil memotong potensi kesalahan administrasi dengan menurunkan risiko pemesanan ganda hingga mencapai tingkat keandalan 0% serta otomatisasi 100% penerbitan nota finansial yang akurat.

Implementation Of The Naïve Bayes Method For Skincare Product Recommendations According To Skin Type At Dermakila Clinic Afilda Maharani; Supriyono; Zainur Romadhon
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/krks4h07

Advances in information technology have encouraged the implementation of recommendation systems in various fields, including beauty and skincare. Selecting skincare products that are not suitable for an individual's skin type and condition may reduce treatment effectiveness and potentially lead to skin problems. Dermakila Clinic offers a wide range of skincare products with diverse characteristics, creating a need for a system that can assist users in selecting products that best suit their skin needs. This study aims to implement the Naïve Bayes method in developing a skincare product recommendation system based on user characteristics, including age range, gender, skin type, and skin concerns. The research applies a data mining approach using the Naïve Bayes classification algorithm. The dataset consists of 960 skincare product records that have undergone preprocessing and data transformation stages. The system was developed as a web-based application to provide users with fast and accurate product recommendations. The experimental results demonstrate that the Naïve Bayes method achieved an accuracy of 88%, with a precision of 89%, a recall of 88%, and an F1-score of 88%. These findings indicate that the Naïve Bayes method is effective for implementing a skincare product recommendation system at Dermakila Clinic.

DECISION SUPPORT SYSTEM FOR WEDDING PACKAGE SELECTION USING AHP AND MOORA METHODS AT ADHINATHA WEDDING ORGANIZER Muhammad Wifqi Aufal Maulana; Anteng Widodo; Zainur Romadhon
IDEALIS : InDonEsiA journaL Information System Vol. 9 No. 2 (2026): Jurnal IDEALIS Juli 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v9i2.3835

Wedding organizer (WO) package selection is a complex multi-criteria decision-making process that has long relied on subjective consultations. At Adhinatha Wedding Organizer, this process is still carried out manually through WhatsApp-based consultation, producing recommendations that tend to be subjective and fail to accommodate customer preferences across eight competing criteria. Previous decision support system (DSS) studies in the wedding organizer domain generally rely on a single ranking method, so results have never been cross-checked or validated by domain experts. The contribution of this research is to fill that gap by developing a web-based DSS integrating the Analytical Hierarchy Process (AHP) for criteria weighting with three ranking methods, namely Multi-Objective Optimization by Ratio Analysis (MOORA), Simple Additive Weighting (SAW), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), applied to eight criteria and thirty-six package alternatives. This research aims to design and build a web-based DSS through data collection, criteria weighting with AHP, alternative ranking, expert validation, and weight sensitivity testing. The three rankings are compared, validated against an expert consensus using Spearman correlation, and tested for stability via ±5% weight sensitivity analysis. The results show MOORA produces the ranking most consistent with expert judgment (rho = 0.998) and the most stable underweight change and is therefore selected as the system's primary ranking engine. The system is developed using the waterfall method, modeled with UML, and implemented using PHP and MySQL. It is expected to provide faster, more transparent, and more accountable package recommendations for Adhinatha Wedding Organizer customers.

Implementasi SIREKAP Sebagai Upaya Transformasi Digital Pelayanan Administrasi di Kantor Kecamatan Bangsri Myllikha Putri Izza; Zainur Romadhon
Ilmu Komputer untuk Masyarakat Vol 7, No 1 (2026)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkomas.v7i1.3498

Transformasi digital dalam pelayanan publik menjadi kebutuhan penting untuk meningkatkan kualitas pelayanan administrasi di instansi pemerintahan. Namun, masih terdapat banyak kantor kecamatan yang melakukan pengelolaan administrasi secara manual sehingga proses pencatatan, pengolahan, dan pencarian data menjadi kurang efektif serta berpotensi menimbulkan kesalahan. Oleh karena itu, kegiatan ini bertujuan untuk mengimplementasikan SIREKAP (Sistem Informasi Rekapitulasi Administrasi) sebagai upaya mendukung transformasi digital dalam pelayanan administrasi di kantor kecamatan. Sistem ini dirancang untuk membantu pengelolaan data administrasi data Kartu Keluarga (KK), Kartu Tanda Penduduk (KTP), legalisasi, Surat Keterangan Waris (SKW), pencatatan NTCR (Nikah, Talak, Cerai, Rujuk),perpindahan penduduk, serta administrasi surat lainnya. Metode pengembangan sistem yang digunakan adalah Waterfall Model, yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, dan pengujian sistem. Sistem SIREKAP dikembangkan berbasis web menggunakan framework Laravel, bahasa pemrograman PHP, serta basis data MySQL. Hasil implementasi menunjukkan bahwa sistem ini mampu membantu pegawai kecamatan dalam mengelola data administrasi secara lebih terstruktur, mempercepat proses pencarian data, serta meningkatkan efisiensi pelayanan administrasi kepada masyarakat.

A Web-Based Gold Price Prediction Model Using Geopolitical Sentiment from Social Media and Gated Recurrent Unit (GRU) Narendra Saputra; Anteng Widodo; Zainur Romadhon
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8297

Gold is widely recognized as a safe-haven asset whose price is sensitive to economic and geopolitical uncertainty. This study develops a web-based international gold price prediction system using the Gated Recurrent Unit (GRU) algorithm and evaluates the contribution of geopolitical sentiment from the X social media platform. The study uses historical XAUUSD data and English-language posts related to the Iran–United States–Israel conflict. Text data were processed through cleaning, case folding, tokenization, stopword removal, lemmatization, TF-IDF transformation, and sentiment analysis using VADER. The resulting daily sentiment scores were integrated with historical gold price features and used as an additional input to the GRU model. Two experimental scenarios were evaluated: GRU without sentiment and GRU with sentiment. The results show that the GRU model without sentiment achieved an MAE of 55.07, RMSE of 69.81, MAPE of 1.17%, and R² of 0.9629, while the model with sentiment achieved an MAE of 80.87, RMSE of 92.93, MAPE of 1.72%, and R² of 0.9342. These findings indicate that incorporating daily aggregated social media sentiment did not improve prediction performance for the dataset used. The developed Flask-based web application provides prediction, sentiment analysis, visualization, and model evaluation features, demonstrating the practical implementation of the proposed approach.

Multi-Platform Healthcare Sentiment Analysis Using Kappa-Validated Lexicon Labelling and SMOTE-Enhanced Naive Bayes Fikri Hamdhan Dwi Saputra; Fajar Nugraha; Zainur Romadhon
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 3 (2026): August
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/bn99ce45

This study develops an automated sentiment analysis system for classifying reviews of the RSI Sunan Kudus mobile application, collected from Google Play Store, Google Maps, and YouTube (N = 1,428). Sentiment labels were automatically assigned using a domain-adapted Indonesian lexicon (87 positive / 100 negative terms), with label reliability validated against a human-annotated gold-standard subset (n = 100, two annotators; κ = 0.900, almost perfect agreement), yielding 85.71% classifier accuracy against adjudicated labels. After excluding neutral reviews, a binary multinomial Naive Bayes classifier was evaluated via 5-fold stratified cross-validation, achieving 91.01 ± 1.13% accuracy and 89.20 ± 1.48% macro F1-score. Class imbalance (ratio = 2.39:1) was addressed using SMOTE within each training fold in feature-vector space. An ablation study across six model-vectoriser combinations identified LinearSVC with Bag-of-Words as best-performing (Macro F1 = 96.03 ± 1.34%); a preprocessing ablation showed the six-stage normalisation pipeline did not meaningfully improve Macro F1 over simpler variants. Cross-platform transfer experiments revealed substantial generalisation gaps (e.g., Macro F1 dropping from 81.1% to 26.8% for a Google-Maps-trained model applied to YouTube), underscoring the value of multi-platform data collection. Findings indicate three primary service pain points: OTP/login failures, long waiting times, and application connectivity issues.

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