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Pelatihan Membuat Website Sekolah Sekolah dengan Menggunakan Blooger di Komunitastas e-guru.id Abdul Rohman; Yoannes Romando Sipayung; Basuki Sulistio
Multimatrix Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Ngudi Waluyo

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

Abstract

Website sekolah merupakan instrumen vital dalam era transformasi digital untuk mendukung transparansi informasi, promosi, dan komunikasi antara sekolah dengan masyarakat. Namun, keterbatasan kompetensi teknis guru dan kendala biaya seringkali menjadi hambatan utama bagi sekolah dalam memiliki website resmi. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan literasi digital guru serta memberikan keterampilan praktis dalam pembuatan dan pengelolaan website sekolah berbasis platform Blogger. Kegiatan ini melibatkan 79 guru dari berbagai wilayah di Indonesia yang tergabung dalam komunitas e-Guru.id. Metode pelaksanaan dilakukan secara daring selama enam bulan pada tahun 2024 dengan pendekatan partisipatif dan learning by doing, yang mencakup tahap persiapan, pelatihan inti, pendampingan, serta evaluasi. Hasil kegiatan menunjukkan bahwa seluruh peserta berhasil membuat website sekolah secara mandiri yang dilengkapi dengan fitur profil sekolah, berita, dan layanan interaktif tanpa memerlukan keahlian pemrograman (coding). Selain itu, terdapat peningkatan signifikan pada kepercayaan diri dan kompetensi guru dalam pengelolaan konten digital. Penggunaan Blogger terbukti menjadi solusi praktis, efisien, dan berkelanjutan untuk mengatasi kesenjangan digital di lingkungan pendidikan. Kata Kunci: Blogger, Kompetensi Guru, Literasi Digital, Transformasi Digital, Website Sekolah. School websites are vital instruments in the era of digital transformation, supporting information transparency, promotion, and communication between schools and the community. However, limited teacher technical competency and financial constraints are often major barriers for schools in establishing official websites. This Community Service (PkM) activity aims to improve teachers' digital literacy and provide practical skills in creating and managing school websites based on the Blogger platform. This activity involved 79 teachers from various regions in Indonesia who are members of the e-Guru.id community. The implementation method was conducted online for six months in 2024, using a participatory and learning-by-doing approach, encompassing preparation, core training, mentoring, and evaluation. The results showed that all participants successfully created their own school websites, complete with school profile features, news, and interactive services without requiring programming skills (coding). Furthermore, there was a significant increase in teachers' confidence and competency in digital content management. The use of Blogger has proven to be a practical, efficient, and sustainable solution to address the digital divide in educational settings. Keywords: Blogger, Teacher Competence, Digital Literacy, Digital Transformation, School Website.
Multimodal Implicit Sentiment Analysis for Tourism Development: A Systematic Literature Review Sipayung, Yoannes Romando; Wibowo, Mochamad Agung; Sanjaya, Ridwan
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1436

Abstract

This study aims to examine the application of multimodal approaches in implicit sentiment detection within the tourism sector to support data-driven digital development strategies. This review identifies prevailing trends, methodologies, datasets, and scientific novelties in multimodal sentiment analysis capable of capturing hidden emotions, such as sarcasm and ambiguity, in tourist reviews. Using a systematic literature review approach, ten core studies published between 2020 and 2025 were analyzed to identify prevailing research trends, dominant methodological frameworks, commonly used datasets, and emerging scientific contributions. Results demonstrate that multimodal deep learning models—particularly those employing attention-based fusion and contrastive learning—consistently outperform unimodal approaches in recognizing nuanced tourist emotions that are not explicitly stated in text. Despite these advances, the review reveals a significant gap in tourism-specific and Indonesian-context studies, as well as an overreliance on general-purpose social media datasets. This review provides a conceptual and methodological foundation for implementing multimodal implicit sentiment analysis in tourism decision-making systems, enabling destination managers and policymakers to develop early warning mechanisms for tourist dissatisfaction, enhance destination quality assessment, and support more targeted and sustainable tourism development strategies.
DEVELOPMENT OF AN EXPERT SYSTEM FOR DIAGNOSING EGGPLANT DISEASES USING THE TSUKAMOTO FUZZY LOGIC METHOD Efrizal Yudhantoro; Yoannes Romando Sipayung
Jurnal Sistem Informasi Vol. 13 No. 1 (2026)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/6ddknb34

Abstract

Eggplant diseases are a major factor contributing to decreased crop quality and yield, particularly among novice farmers with limited knowledge of early disease identification. The uncertainty of symptom manifestation and limited access to agricultural experts further increase the risk of crop failure. This study aims to develop a web-based expert system for diagnosing eggplant diseases using the Tsukamoto Fuzzy Logic method. The novelty of this research lies in the integration of weighted symptom severity, fuzzy inference rules, and confidence-level outputs into a practical decision-support system specifically designed for eggplant disease diagnosis. The research adopts the Waterfall development model, including requirements analysis, system design, implementation, and testing. The knowledge base consists of five main diseases and twenty symptoms with weighted values ranging from 0.55 to 1.00. System evaluation using Black Box Testing shows that 100% of functional features operate successfully according to system requirements. Furthermore, diagnostic results demonstrate high confidence levels, reaching up to 97% for certain disease cases, indicating reliable system performance in handling uncertainty. This study contributes to the development of intelligent agricultural decision-support systems by providing an accessible, accurate, and efficient diagnostic tool. The proposed system can assist farmers in early disease detection, reduce dependency on experts, and potentially minimize crop losses while improving eggplant productivity.   Keywords: Expert System, Eggplant Disease, Tsukamoto Fuzzy Logic, Decision Support System, Smart Agriculture
A Web-Based Decision Support System for Determining High-Achieving Students Using The Simple Additive Weighting (SAW) Method at SMK Kanisius Ungaran Cesillia Ayu Kumala Sari; Yoannes Romando Sipayung
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 2 (2026): May (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/n202pv96

Abstract

This study develops a web-based Decision Support System (DSS) to assist in determining academically high-achieving students at SMK Kanisius, Ungaran. The current evaluation process in the school relies largely on manual assessment, which can make the management of multiple evaluation criteria time-consuming and difficult to organize systematically. To support a more structured evaluation process, this research applies the Simple Additive Weighting (SAW) method as a multi-criteria decision-making approach. Four assessment criteria were used in the system: report card average scores, school examination results, non-academic achievements, and attendance. Each criterion was assigned a weight based on institutional priorities. The system was implemented as a web application using Next.js and React.js for the front-end interface, while Supabase with PostgreSQL was used for data storage and management. The SAW procedure integrated into the system includes score normalization, weighted aggregation, and the generation of ranking results for students. A sample dataset consisting of five student alternatives was used to demonstrate the calculation process and system functionality. The results show that the system can process student evaluation data and generate ranking outputs based on the predefined criteria and weights. In the calculation example, the highest-ranked student obtained a final score of 0.9902. The developed system demonstrates how the SAW method can be operationalized within a web-based platform to support the organization and processing of multi-criteria student evaluation data. The study primarily contributes a practical implementation of a DSS for academic assessment in vocational secondary education contexts.