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Menampilkan 1–10 dari 51 artikel
For Victory: Skill Naming in Mobile Legends: Bang Bang and Honor of Kings
Al Hafidz, Fauzan
; Firmanan Tyas, Rifky
; Khomaini Dimyati Timur, Ahmad
; Hafidh Multazil 'Ilmi, Muhammad
RADIANT: Journal of Applied, Social, and Education Studies
Vol 7
, No 1
(2026)
This study focuses on how the skill naming in Mobile Legends: Bang Bang and Honor of Kings. The skill naming in the two skill-dependent video games assists in shaping players' experience by the relation of skill name and its naming ideas. Therefore, these video games could create such an immersion as they have mythopoesis or their world. The qualitative method was employed in this study. Textual, visual, and functional representations of skills were analyzed. The data were collected through docu...
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Pendidikan Negara Maju (Pendidikan Agama Islam di Prancis)
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 4
, No 4
(2025)
This research discusses the education system in France with a focus on the development and challenges of Islamic religious education in the developed country. The study was conducted through a review of the history, geography, and applicable educational policies, so as to be able to describe how the education system in France integrates cultural aspects and historical values in learning practices. One of the main concerns of this study is efforts to improve teachers' competence in teaching Islam...
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Needs Analysis for Designing Dynamic Game-Based Learning Media on Motion and Force in Junior High School Science
Indonesian Journal of Instructional Media and Model
Vol 7
, No 2
(2025)
Understanding Motion and Force remains challenging for junior high school students, particularly due to the abstract and multi-representational nature of the concepts. This study aimed to systematically identify learning difficulties, learner characteristics, media usage patterns, and digital habits through the Define stage of the 4-D development model as the foundation for designing game-based learning media. A mixed-methods needs analysis was conducted using classroom observations, a teacher i...
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Pengaruh Akuntabilitas, Transparansi, Partisipasi Masyarakat dan Kompetensi Aparatur Desa Terhadap Efektivitas Pengelolaan Dana Desa
EBISNIS : JURNAL ILMIAH EKONOMI DAN BISNIS
Vol 18
, No 2
(2025)
This study aims to analyze the effect of accountability, transparency, community participation, and village apparatus competence on the effectiveness of village fund management in Sidodadi Village, Masaran District, Sragen Regency. This research employed a quantitative approach using questionnaires as the data collection instrument. The population in this study consisted of the residents of Sidodadi Village, with a total sample of 85 respondents determined through a sampling method. Data were an...
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Sistem Peramalan Jumlah Mahasiswa Menggunakan Metode Time Series ARIMA dan Regresi Linear
Hasibuan, Muhammad Alby Savana
; Indra, Zulfahmi
; Lubis, Fauzan Azima
; Farezi, Nazwar
; Hasibuan, Muhammad Alby Savana
; Indra, Zulfahmi
; Lubis, Fauzan Azima
; Farezi, Nazwar
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 3
(2025)
Penelitian ini bertujuan untuk membuat sistem yang bisa memprediksi jumlah mahasiswa menggunakan pendekatan machine learning dengan Python dan antarmuka Streamlit sebagai alat interaktif. Masalah utama yang dibahas adalah kebutuhan lembaga pendidikan tinggi dalam meramalkan jumlah mahasiswa di masa depan agar bisa membantu dalam merencanakan kapasitas dan mengalokasikan sumber daya secara tepat. Solusi yang ditawarkan adalah dengan menggabungkan dua metode prediksi, yaitu Regresi Linear dan ARIM...
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Evaluating Ordinal Multivariate Models under Multicollinearity via Pairwise Likelihood: A Simulation Perspective
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
This study examines the effect of multicollinearity on ordinal regression through a two-stage Monte Carlo simulation. A synthetic population of 2,000,000 observations was generated with predictors drawn from a normal distribution, and responses simulated using an ordinal probit model. A Monte Carlo procedure was employed with 10 repetitions, each consisting of 100 random samples of 1,000 observations. Parameter estimation employed Maximum Likelihood Estimation (MLE) for univariate models and Pai...
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ANALISIS KESALAHAN MAHASISWA DALAM MENYELESAIKAN SOAL KALKULUS DITINJAU DARI INDIKATOR PROBLEM SOLVING
JIPMat (Jurnal Ilmiah Pendidikan Matematika)
Vol 10
, No 2
(2025)
Penelitian ini bertujuan untuk menanalisis kesalahan mahasiswa dalam menyelesaikan soal Kalkulus, khususnya pada materi penerapan integral berdasarkan indikator kemampuan problem solving. Metode yang digunakan adalah deskriptif kualitatif dengan subjek mahasiswa Fakultas Teknik Universitas Ekasakti Padang sebanyak 68 orang yang telah menempuh mata kuliah Kalkulus 2 tahun ajaran 2024-2025. Instrumen penelitian yang digunakan berupa tes uraian dan pedoman wawancara dengan mahasiswa. Tes uraian...
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Perancangan Aplikasi Pemesanan Catering Berbasis Web Pada Cafe D’Carlos
Teknik: Jurnal Ilmu Teknik dan Informatika
Vol 5
, No 2
(2025)
The development of information technology has affected a large number of sectors, one of which is the culinary industry, namely Cafe D'Carlos located in Parepare. This cafe has problems with the manual catering ordering process due to impracticality, recording errors, and long processing times. This study aims to design and develop a web-based catering ordering application to improve operational efficiency and service quality. In general, the development method for various applications tends to...
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Evaluation ChatGPT User Sentiment using Naive Bayes: A Review of Confusion Matrix and Classification Report
Dianda Rifaldi
; Tri Stiyo Famuji
; Bella Okta Sari Miranda
; Fauzan Purma Ramadhan
; Iriene Putri Mulyadi
; Vanji Saputra6
; Fanani, Galih Pramuja Inngam
Jurnal Riset Sistem dan Teknologi Informasi
Vol 3
, No 2
(2025)
The development of artificial intelligence (AI) technology, particularly in natural language processing (NLP), has led to various innovations, including ChatGPT. Its growing popularity highlights the need for user sentiment analysis. This study evaluates user sentiment toward ChatGPT using the Naive Bayes algorithm. The dataset, obtained from Kaggle, consists of 500 labeled English tweets categorized as positive, neutral, or negative. The process involved text preprocessing, TF-IDF feature extra...
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Forward chaining Method for Early Detection of Mental Disorders
Jurnal Riset Sistem dan Teknologi Informasi
Vol 3
, No 2
(2025)
Mental disorders are specific conditions associated with symptoms and pain that cause disruptions in psychosocial functioning. In general, people who want to diagnose mental disorders need to meet directly with a doctor. This research aims to develop an expert system that can assist in the process of diagnosing mental disorders, where this system can produce decisions equivalent to those of a doctor, so that the public no longer needs to meet a doctor directly for initial diagnosis. This researc...
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