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All Journal INTEGER: Journal of Information Technology JIEET (Journal of Information Engineering and Educational Technology) MULTINETICS Journal of Applied Data Sciences Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Informatics and Computer Science (JINACS) Journal of Emerging Information Systems and Business Intelligence (JEISBI) Journal of Applied Informatics Research
Asmunin Asmunin
Universitas Negeri Surabaya
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Nursing Public Health Social Sciences

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Pembuatan dan Pelatihan Sistem Informasi Pondok Pesantren Putri KH. Ahmad Basthomi Sebagai Media Promosi dan Informasi Faris Abdi El Hakim; Moch Deny Pratama; Asmunin Asmunin; Fitria Fitria; Rosita Rosita
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 5 No. 6 (2025): November 2025 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v5i6.940

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk mengembangkan Sistem Informasi Pondok Pesantren Putri KH. Ahmad Basthomi berbasis web sebagai media promosi dan informasi resmi lembaga. Pengembangan dilakukan karena sebelumnya pondok pesantren belum memiliki sarana digital untuk menyebarkan informasi secara luas dan efisien. Metode pelaksanaan meliputi analisis kebutuhan, pengembangan sistem menggunakan framework Laravel, implementasi, sosialisasi, serta pelatihan pengelolaan konten. Evaluasi dilakukan melalui survei kepuasan pengguna menggunakan skala Likert terhadap aspek tampilan, navigasi, kecepatan akses, akurasi informasi, dan kepuasan umum. Hasil menunjukkan nilai rata-rata kepuasan sebesar 4,51 yang menandakan bahwa sistem mudah digunakan, informatif, dan responsif. Penerapan sistem informasi ini terbukti meningkatkan efektivitas penyebaran informasi dan citra pesantren di masyarakat serta mendorong pesantren beradaptasi dengan perkembangan teknologi digital.
Hybrid Transformer-XGBOOST Model Optimized with Ant Colony Algorithm for Early Heart Disease Detection: A Risk Factor-Driven and Interpretable Method Moch Deny Pratama; Faris Abdi El Hakim; Dimas Novian Aditia Syahputra; Dodik Arwin Dermawan; Asmunin Asmunin; Salamun Rohman Nudin; Andi Iwan Nurhidayat
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.969

Abstract

Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, with significant socioeconomic consequences due to premature death and chronic disability. Although clinical screening techniques have evolved, early and accurate prediction of heart disease is still partial due to the limited capacity of conventional machine learning algorithms to model the complex nonlinear interactions among various contributing risk factors e.g., hypertension, diabetes, hyperlipidemia, and genetic predisposition. To address these challenges, this research introduces a hybrid framework that combines the Transformer architecture known for its robust self-attention mechanism and high representational capabilities with Ant Colony Optimization (ACO), a nature-inspired metaheuristic algorithm modeled on the foraging behavior of ants, to enable adaptive and efficient hyperparameter optimization. The proposed model processes structured clinical data by encoding categorical variables into embeddings and normalizing numerical features, resulting in a unified tabular representation suitable for transformer-based analysis. ACO improves model efficiency by optimizing key parameters e.g., embedding configuration, learning rate, and depth, reducing manual intervention and computational overhead. The proposed Hybrid Transformer-ACO model focuses on interpretable clinical features to provide actionable risk stratification. Model evaluation was performed using classification metrics e.g., accuracy, precision, recall, F1 score, and time complexity to measure predictive performance and computational efficiency during the training and inference phases. These evaluation criteria provide evidence of the model's diagnostic reliability, generalizability, and practical feasibility for clinical application.. The model achieved 100% accuracy, sensitivity, specificity, and F1-score, outperforming several models. Time complexity analysis demonstrated efficient training and testing, while the model interpretability supports transparency and trust.
Development of a Website-Based Boarding House Recommendation System Surrounding UNESA Ketintang Using Simple Additive Weighting and Weighted Product Methods Approach Arnov Tegar Reannata; Asmunin
Journal of Applied Informatics Research Vol. 2 No. 1 (2026): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Selecting an appropriate boarding house is often challenging for students around Universitas Negeri Surabaya (UNESA) Ketintang because each available option offers different advantages in terms of cost, location, facilities, and room dimensions. To address this issue, this research developed a web-based recommendation platform that applies the Simple Additive Weighting (SAW) and Weighted Product (WP) approaches to assist users in identifying suitable boarding houses based on multiple criteria. The system processed data from 30 boarding house alternatives, while criterion weights were determined using the Analytical Hierarchy Process (AHP). A comparative analysis was conducted to examine the consistency of ranking results generated by both methods. Experimental findings show that the rankings produced by SAW and WP demonstrate a very strong relationship, indicated by a Spearman correlation value of 0.92. In addition, User Acceptance Testing (UAT) produced an average satisfaction score of 85%, indicating positive user responses toward the usability and functionality of the developed system. The findings suggest that integrating SAW and WP within a decision support framework can provide reliable recommendation results and help students make boarding house selection decisions more effectively and systematically.
Implementation of the User Centered Design Method in Designing UI/UX Prototypes for Traditional Herbal Medicine Sales Annisa Rusydina Sabila; Asmunin
Journal of Applied Informatics Research Vol. 2 No. 1 (2026): July
Publisher : Universitas Negeri Surabaya

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Abstract

This study aims to design a UI/UX prototype for a traditional herbal medicine sales application using the User-Centered Design (UCD) approach to improve user experience and usability. The study involved 96 respondents who were users or potential users of traditional herbal medicine products. The design process followed four stages of UCD: understanding the context of use, identifying user requirements, designing solutions, and evaluating the prototype. Usability evaluation was conducted using Cognitive Walkthrough (CW) to assess learnability and task efficiency, and the System Usability Scale (SUS) to measure user satisfaction. The results show that the prototype achieved a task completion rate of 92% in the Cognitive Walkthrough evaluation, indicating high learnability and efficiency. In addition, the prototype obtained an average SUS score of 82.3, which falls into the “Excellent” category and indicates a high level of user acceptance. These findings demonstrate that the implementation of the UCD method successfully produced a user-friendly interface that is effective, easy to understand, and aligned with user needs. This research contributes to the development of user-centered digital solutions for traditional herbal medicine commerce and supports the digital transformation of traditional product marketing.
Co-Authors Aditya Hermawan, Aditya Agus Prihanto Alvin Febrianto Andi Iwan Nur Hidayat Andi Iwan Nurhidayat Andi Nurhidayat Anita Qoiriah ANITA QOIRIAH Annisa Rusydina Sabila Arfianto, Rifqi Bagas Arnov Tegar Reannata Atik Wintarti Aulia Nadzifarin Dani Maulana Sholahudin DIMAS NOVIAN ADITIA SYAHPUTRA Dodik Arwin Dermawan Dwi Fatrianto Suyatno Faris Abdi El hakim Fisma Meividianugraha Subani Fitria Fitria Hafizhuddin Zul Fahmi Isyroqi Hadyan Naufa Julieta Adhellia Pratiwi Khamdani, Wahyu Khamdani, Wahyu Moch Deny Pratama Muhammad Rafi Buldan Azizi Naim Rochmawati Qorina Mar atus Sholikhah Ricky Eka Putra Ricky Eka Putra Rina Harimurti Rosita Rosita SALAMUN ROHMAN NUDIN Uzdah, Lizziya Aulianisa Yuni Yamasari