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Menampilkan 21–30 dari 16265 artikel
Comparative Evaluation of Automatic Labeling and Modeling Strategies for Indonesian Sentiment Analysis: Methodology and Performance Evaluation
Latifa, Khoiriya
; Agung Handayanto
; Nur Latifah Dwi M.S
; Rahul Bhandari
; Ton Nguyen Trong Hien
; Doston Pirnazarov
Sentiment analysis is vital for understanding consumer perception, yet Indonesian sentiment classification faces challenges due to labeled data scarcity and computational constraints. This study advances automatic labeling techniques and establishes performance benchmarks for Indonesian text. The research compares two labeling approaches InSet Lexicon and IndoBERT based Hugging Face pipeline on 8,447 Tapera-related opinions. Results show InSet Lexicon produced a highly skewed distribution (89.66...
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Implementation of Project-Based Learning (PjBL) Assisted by Geogebra Application to Improve Students’ Spatial Abilities
The purpose of this study was to determine whether the implementation of the Geogebra-assisted Project Based Learning (PjBL) model has an impact on improving students' spatial abilities or not. Quantitative method with experiments was used in this study. The sample used was class B and C students of Mathematics Education IAIN Kudus class of 2022/2023 who were selected through cluster random sampling techniques. To determine the level of effectiveness, pretest and posttest instruments were given...
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The Development of Student Worksheets (LKPD) Based on Higher Order Thinking Skill (HOTS) with Nuance of Numeracy Literacy in Mathematics Subjects for Elementary School Class V Students
This study is motivated by the low level of students’ numeracy literacy skills and the suboptimal use of instructional materials that facilitate higher-order thinking skills in elementary mathematics learning. Teacher-centered learning practices tend to limit students’ active participation and hinder their ability to solve contextual problems. This study aims to develop a Student Worksheet (LKPD) based on Higher Order Thinking Skills (HOTS) with a numeracy literacy orientation on p...
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Exploring Mathematics Teachers’ Perceptions of ChatGPT for Personalized Learning and Technology Dependence
The development of artificial intelligence, particularly ChatGPT, has begun to influence mathematics learning in classrooms. This technology is not only used as a learning support tool but also affects how teachers teach and how students understand mathematical concepts. This study aims to analyze the effectiveness of ChatGPT in mathematics learning, its benefits and challenges, and the potential for technology dependence based on mathematics teachers’ perspectives. This study employed a System...
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Problem-Solving Ability In Arithmetic Sequences And Series Using Problem-Based Learning
This study aims to describe the learning process on the topic of sequences and series using the Problem-Based Learning (PBL) approach, and to describe students' mathematical problem-solving abilities on the topic of arithmetic sequences and series using the Problem-Based Learning (PBL) approach. The study was conducted at SMA Negeri 1 Adonara Tengah in February 2026. The subjects of this study were 16 students in Grade XI. The data collection techniques used were learning process, written tests,...
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Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing
Utomo, Chandra Prasetyo
; Ichikawa, Kohei
; Insani, Nashuha
; Thonglek, Kundjanasith
; Xingyuan, Kang
; Maulani, Chaerita
; Rachmawati, Ummi Azizah
Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use p...
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Motorcycle Passenger-Car Equivalents from Time-Headway Data with Lane-Occupancy Adjustment in Urban Indonesia
Aulia Dewi Fatikasari
; Achmad Dzulfiqar Alfiansyah
; Zaid Dzulkarnain Zubizaretta
; Rohmahillah Aviskanasya Septiandri
; Agistya Rachma Larasati
; Roma Artha Uly Napitupulu
; Linie Rose Dayaday Santacera
; Sinta Nabilah Salma
Motorcycles dominate traffic composition in East Surabaya, making the determination of Passenger Car Equivalent (PCE) values for motorcycles a crucial aspect of road performance assessment. This research evaluates motorcycle PCE value on six road sections on Raya Prapen Street, Jemursari Street, Jemur Andayani Street, Panjang Jiwo Street, Kali Rungkut Street, and Rungkut Industri Street, each observed in two directions (12 segments in total), with samples collected during peak hours on Monday (0...
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Comparative Study of Classical and Quantum Machine Learning Models: Insights into Quantum Advantage in Materials Informatics
Quantum Machine Learning (QML) has emerged as a promising paradigm for addressing increasing computational and representational demands in materials informatics. While classical models such as Support Vector Machines (SVM) achieve strong predictive performance, they often struggle to capture complex, highly correlated interactions in high-dimensional materials data. QML addresses this challenge by leveraging quantum-mechanical principles to construct expressive feature embeddings, where prospect...
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A Hybrid AI–SEMPLS Model for Digital Visualization Acceptance in Blue Tourism: Evidence from Lampung Province
Blue tourism destinations often lack advanced digital tools capable of providing real-time, AI-driven visualization and user-centered information services. This study addresses this gap by developing JELAMBU, an AI-enabled digital visualization platform, and by evaluating user acceptance through a hybrid SEMPLS models. The research aims to: (i) design and implement an AI-based system that combines chatbot interaction, realtime sentiment analytics, and digital visualization; and (ii) examine the...
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Pengelolaan Sampah Tingkat Rumah Tangga Melalui Bank Sampah
Dhaningtyas, Shalihat Afifah
; Kristini, Tri Dewi
; Nursetia, Cantika Dwi
; Astiah, Delfika Dwi
; Anggara, Muhammad Surya
; Wibowo, Aditia Fajar Putra
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Peningkatan jumlah penduduk dan bangunan mengakibatkan peningkatan jumlah konsumsi barang yang dapat menghasilkan sampah TPS (Tempat Pembuangan Sementara). Sampah di sekitar permukiman penduduk sudah tidak mampu lagi menampung volume sampah yang terus meningkat. Tujuan: mengetahui peningkatan pengetahuan warga tentang pengelolaan sampah tingkat rumah tangga. Metode: metode yang digunakan yaitu observasi dengan ceramah, praktik langsung, dan mengerjakan soal pre-test dan post-test...
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