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Mengembangkan Kesadaran Digital Sehat Pada Siswa Sekolah Dasar Melalui Pemberdayaan Sosialisasi Etika Bermedia Sosial
Gunadharma, Aditya
; Anjelina, Anjelina
; Prasetyo, Dahlan
; Hapsari, Elok Fadinda
; Mukaromah, Eti Faidatul
; Amalina, Fafa Nurul
; Nisa, Ilma Nazihatun
; Setianingsih, Lilis
; Puspitasari, Melani Indah
; Jumani, Nurul Putri Azkiyyah
; Setyamien, Salsabila Khairunisa
; Subekti, Sigit Waris
; Al Islami, Teuku Mohammad Daffa
; Rizqy, Wafa Maulana
; Futri, Widya Aqilla
; Ma`summah, Siti
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 4
, No 2
(2025)
This community service activity aims to enhance elementary school students’ awareness of healthy digital behavior through the socialization of social media ethics and responsible internet use. The method applied was Participatory Action Research (PAR), involving students, teachers, and school stakeholders in an active, collaborative learning process. The program took place at MI Muhammadiyah, Pagentan District, on August 16, 2025, for three hours, including material presentation, case simulation...
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Pengaruh Environmental, Social, and Governance (ESG) Disclosure dan Volatilitas Harga Energi Terhadap Return Saham Pada Perusahaan Sektor Energi di BEI
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 4
(2025)
This study aims to examine the effect of Environmental, Social, and Governance (ESG) disclosure and energy price volatility on stock returns of energy sector companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2024 period. A quantitative approach was employed using multiple linear regression as the analytical method. The sample consisted of 10 energy companies selected through purposive sampling, based on the availability of sustainability reports, stock price data, and resear...
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Pengaruh Upah Kerja, Beban Kerja, dan Disiplin Kerja Terhadap Kinerja Karyawan Pada UMKM Bakpia Latief
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 4
(2025)
This study aims to analyze the effect of wages, workload, and work discipline on employee performance at Bakpia Latief MSME in Kediri. The research method employed is quantitative with a survey technique. The sample consists of 32 respondents selected through a saturated sampling technique. Primary data were collected using a Likert-scale questionnaire that had been tested for validity and reliability, while secondary data were obtained from documentation and literature review. Data analysis was...
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Penerapan metode radial basis function neural network dalam memprediksi curah hujan
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 2
(2025)
North Tapanuli Regency is highly vulnerable to natural disasters such as floods and landslides due to high rainfall intensity and complex geographical conditions. To anticipate these risks, this study aims to predict rainfall using the Radial Basis Function Neural Network (RBFNN) method. The number of nodes in the input layerwas determined based on significant lags identified in the Partial Autocorrelation Function (PACF) plot. The hidden layerwas constructed using the K-Means clustering method...
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Kandungan Protein dan Cu Pada Yoghurt Kombinasi Susu Kacang Tolo (Vigna unguiculata L.) Dan Susu Sapi
Edubioprena - Jurnal Ilmiah Pendidikan Biologi, Biologi, & Bioentrepreneurship
Vol 2
, No 1
(2025)
Abstrak – Yoghurt yaitu susu difermentasi menggunakan biakan campuran L. bulgaricus dan S. thermophillus sehingga protein susu menjadi padat atau kental. Inovasi kombinasi susu kacang tolo dan susu sapi digunakan dalam bahan pembuatan yoghurt. Penelitian ini bertujuan untuk mengetahui pengaruh perbedan kombinasi susu kacang tolo dan susu sapi dalam kandungan protein dan Cu. Hasil penelitian menunjukkan ada pengaruh pada kombinasi susu kacang tolo dan susu sapi dalam pembuatan yoghurt terhadap ka...
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Penentuan Metode Augmentasi pada CNN Berdasarkan Metode Optimasi Fox untuk Klasifikasi Citra Ikan
Wahyudi, Firman
; Nugraini, Siti Hadiati
; Soeleman, Arief
; Pramunendar, Ricardus Anggi
; Andono, Pulung Nurtantio
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Automatic identification of fish species plays an important role in various fields such as conservation biology, fisheries management, and biological research. The Convolutional Neural Network (CNN) method has become an effective solution for automating this process using digital images. However, achieving high accuracy requires careful consideration of factors such as the quantity and quality of data, image preprocessing methods, feature extraction techniques, classification algorithms, and opt...
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Exploration of Differences In Students Creative Thinking Abilities Viewed from Perspective Gender and Domicile: Rasch Model Analysis
JOURNAL OF BIOLOGY LEARNING
Vol 7
, No 2
(2025)
The purpose of this study was to explore differences in students creative thinking abilities based on gender and domicile. The research method used was descriptive quantitative. Sampling used proportional random sampling technique at Public Junior High Schools in South Konawe Regency. The research instrument used a creative thinking test as primary data. The data analysis technique used the winsteps program with scalogram analysis. The results showed that female students tended to be superior in...
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Integrasi Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Pendukung Keputusan Penentuan Asisten Dosen
Muthmainnah, Aindri Rizky
; Pamput, Jessicha Putrianingsih
; Adiba, Fhatiah
; Surianto, Dewi Fatmarani
; Nasrullah, Asmaul Husnah
; Budiarti, Nur Azizah Eka
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
The selection of teaching assistants requires an objective and effective decision-making system. This study designs a decision support system for selecting assistants in the Algorithm and Basic Programming course at JTIK, Universitas Negeri Makassar, by integrating the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. WP assigns weights to evaluation criteria, while TOPSIS identifies the best candidates based on positive and negative ideal...
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Comparative Analysis of Classification Models for Competencies Certification: A Data Mining Approach
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
This study elaborates the application of various machine learning (ML) algorithm models to identify the classification of employee competency to take the competency certification needed to support the work. The goal is to choose the best ML model to improve accuracy, scalability, and fairness. The algorithms to be tested in this study are Logistic Regression, SVM, KNN, and Naive Bayes as traditional algorithms with Random Forest as an ensemble algorithm. This study took data from 13,830 employee...
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Enzymatic Biotechnology in Modifying the Functional Properties of Plant Proteins
Journal of Food and Agricultural Product
Vol 5
, No 2
(2025)
Enzymatic biotechnology offers an innovative and environmentally friendly approach to modifying the functional properties of plant proteins to support the development of value-added foods. The urgency of this research lies in the increasing need for alternative protein sources that are not only highly nutritious but also have functional characteristics suitable for the formulation of modern food products and those intolerant to animal protein. This study aims to systematically examine the role o...
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