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Implementasi Media Pembelajaran Web-blog Model PjBL untuk Meningkatkan Hasil Belajar dan Keterampilan Berpikir Tingkat Tinggi Siswa Yohanes Bery Mokalu; Rillya Arundaa; Fitria Claudya Lahinta
SCIENING : Science Learning Journal Vol. 5 No. 1: Juni 2024
Publisher : Jurusan Pendidikan IPA FMIPA Universitas Negeri Manado

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

Abstract

Penelitian ini memiliki tujuan untuk meningkatkan hasil belajar dan keterampilan berpikir tingkat tinggi siswa kelas IX SMP Kristen Motoling dengan memanfaatkan media pembelajaran web blog model project based learning pada mata pelajaran IPA dengan materi sistem reproduksi. Kurangnya keterampilan siswa dalam memahami, mengembangkan pemikiran, memecahkan permasalahan, dan melaksanakan project secara tidak langsung mengakibatkan rendahnya hasil belajar dan keterampilan berpikir tingkat tinggi yang sangat penting bagi kehidupan siswa di era digital. Penelitian ini memanfaatkan metode penelitian tindakan kelas dengan subjek penelitian 20 orang siswa yang diterapkan pada dua siklus pembelajaran yang didalamnya terdiri dari empat tahap yaitu perencanaan, tindakan, observasi dan refleksi. Analisis data dilakukan dengan teknik analisis deskriptif, hasil analisis data menggambarkan hasil belajar dan keterampilan berpikir tingkat tinggi yang meningkat. Peningkatan itu tergambar dari meningkatnya ketuntasan klasikal tiap siklus yang diuji dengan soal-soal berbasis keterampilan berpikir tingkat tinggi, dari rata-rata 55 pada siklus I menjadi 70 pada siklus II, dan menjadi 88 pada siklus III, dengan jumlah siswa yang tuntas pada siklus I (10 orang), siklus II (14 orang), dan siklus III (19 orang). Sehingga pada penelitian ini dapat disimpulkan bahwa implementasi media pembelajaran web-blog model project based learning dapat meningkatkan hasil belajar dan keterampilan berpikir tingkat tinggi siswa.
Church Management Information System of Syaloom Imandi Bolaang Mongondow Rillya Arundaa; Yohanes Bery Mokalu; Sanriomi Sintaro
NUANSA INFORMATIKA Vol. 19 No. 1 (2025): Nuansa Informatika 19.1 Januari 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i1.332

Abstract

GMIBM Syaloom Imandi Church is a community service organization under the GMIBM Synod headquartered in Kotamobagu. However, its information management system remains uncomputerized, leading to inefficiencies in church services, such as managing congregational data, worship schedules, church inventory, and ongoing programs. These tasks rely on physical archives and announcements during worship, posing challenges in data retrieval and increasing the risk of data loss. To address these issues, a management information system is proposed to improve the accessibility and reliability of church-related information. The management information system is developed using the Spiral Model and implemented with PHP programming and MySQL database. It provides updated information, managed by the Church Secretary, including the church's history, organizational structure, vision and mission, worship schedules, activities, congregation data, offerings, inventory records, correspondence, and church-related news. The system is web-based, ensuring easy access for users anytime and anywhere. The study resulted in a web-based church management information system that facilitates the Church Secretary in efficiently delivering essential information to the congregation, enhancing service quality and operational efficiency. This system ensures seamless communication and better management of church resources and activities.
Aspect-Based Sentiment Analysis of Public Opinion on the Free Nutritious Meal Program using BERTopic on X Carmen Emanuela Dwiva Lisapaly; Luther Alexander Latumakulita; Rillya Arundaa
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 2 (2026): Volume 4 Number 2 June 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i2.245

Abstract

This study aims to analyze public opinion on the Free Nutritious Meal (MBG) Program on the X platform using an Aspect-Based Sentiment Analysis (ABSA) approach with BERTopic-based aspect extraction. Unlike previous studies that primarily perform sentiment classification at the overall text level, this study identifies specific aspects within public discussions to provide more fine-grained insights. Twitter data were collected and preprocessed, followed by topic modeling using BERTopic to extract topics that were subsequently defined as aspects. Topic quality was evaluated using topic coherence (c_v) and topic diversity metrics. The modeling process initially produced 36 topics with a coherence score of 0.4446 and a diversity score of 0.8541. After relevance-based selection, 18 topics were retained as aspects, with the coherence score increasing from 0.4446 to 0.5370 and the diversity score increasing from 0.8541 to 0.8611. Sentiment labeling was then performed using the Twitter-XLM-RoBERTa model to determine the distribution of positive, negative, and neutral sentiments across each aspect. The results demonstrate that the proposed ABSA approach with BERTopic-based aspect extraction provides a more structured and insightful mapping of public opinion, enabling the identification of aspects with the highest levels of support and indications of opposition toward the MBG Program. These findings are expected to serve as a basis for consideration in data-driven policy evaluation and support more informed decision-making.