Vol. 7 No. 2 (2025): EMACS

Published: 2025-05-30

Editorial

Editorial Page and Table of Content

Alexander Agung Santoso Gunawan
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Abstract 89 . Downloaded 4

Articles

Combining Academia and Industry Approach for Secure Coding and Requirements Checklist in S-SDLC: Systematic Literature Review

Anderies Anderies, Ika Dyah Agustia Rachmawati, Kenny Jingga, Calvin Linardy Candra

129-138
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Abstract 225 . Downloaded 23
“BAKSO BOSS”: Evaluating the Impact of Serious Games Using GDLC and FFFL-HS for Small and Medium Enterprises (SMEs)

Dimas Ramdhan, Gede Bramanta Pandya Wisesa

139-146
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Abstract 112 . Downloaded 15
Cost-Sensitive Learning with LightGBM for Class Imbalance in Intrusion Detection Systems

Andien Dwi Novika, Almuzhidul Mujhid

147-153
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Abstract 196 . Downloaded 6
Analysis and Design Pet Healthcare, Pet Adoption, and Pet Community iOS Mobile Application for Animal Lovers

Dion Darmawan, Roberto Khresna

155-165
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Abstract 213 . Downloaded 9
'DREAMS D': New Matrix Evaluation for Software Architecture

Zulfany Erlisa Rasjid, Ivana Yoshe Aldora, Welly Piyono, Risma Yulistiani, Hady Pranoto

167-173
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Abstract 62 . Downloaded 2
SMOTE Effectiveness and various Machine Learning Algorithms to Predict Self-Esteem Levels of Indonesian Student

Mochammad Anshori, Risqy Siwi Pradini, Wahyu Teja Kusuma

175-182
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The Impact of Text Preprocessing in Sarcasm Detection on Indonesian Social Media Contents

Nicholaus Hendrik Jeremy

183-189
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Abstract 88 . Downloaded 2
Adaptive Fuel Subsidy Optimization Using Deep Q-Learning and Bandit-Based Policy Selection: A Simulation Study

Pandu Dwi Luhur Pambudi

191-200
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Abstract 88 . Downloaded 1
Breast Cancer Diagnosis Based on a Hybrid Genetic Algorithm and Neural Network Architecture

Rifqi Alfinnur Charisma, Ayu Maulina

201-206
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Abstract 61 . Downloaded 3
Advancing Indonesian Audio Emotion Classification: A Comparative Study Using IndoWaveSentiment

Muhammad Rizki Nur Majiid, Karli Eka Setiawan, Prayoga Yudha Pamungkas, Taufiq Annas, Nicholas Lorenzo Setiawan

207-211
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Implementation of Microservices Architecture in a Retail Web Application Using Apache Kafka as a Message Broker

Stefanus Daeli, Kristian Juri Damai Lase, Yoel Pieter Sumihar

213-222
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Abstract 83 . Downloaded 2
Sentiment Analysis of Slang Language Trends in Generation Alpha on Social Media Using BERT

Shania Priccilia, Erin Erin

223-228
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Abstract 17 . Downloaded 0
Wearable Sensors for Health Monitoring: Technologies, Applications, Challenges, and Future Perspectives

Syauqi Abdurrahman Abrori

229-239
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A Study of Machine Learning Approach to Predict the Out performance Market of Japan’s Stock Price

Charissa Amadea, Karina Karina, Kanisha Addina, Keisha Adara, Asysta Pasaribu

241-248
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Abstract 18 . Downloaded 3

Vol. 7 No. 2 (2025): EMACS

Editorial

Editorial Page and Table of Content

Articles

Combining Academia and Industry Approach for Secure Coding and Requirements Checklist in S-SDLC: Systematic Literature Review

“BAKSO BOSS”: Evaluating the Impact of Serious Games Using GDLC and FFFL-HS for Small and Medium Enterprises (SMEs)

Cost-Sensitive Learning with LightGBM for Class Imbalance in Intrusion Detection Systems

Analysis and Design Pet Healthcare, Pet Adoption, and Pet Community iOS Mobile Application for Animal Lovers

'DREAMS D': New Matrix Evaluation for Software Architecture

SMOTE Effectiveness and various Machine Learning Algorithms to Predict Self-Esteem Levels of Indonesian Student

The Impact of Text Preprocessing in Sarcasm Detection on Indonesian Social Media Contents

Adaptive Fuel Subsidy Optimization Using Deep Q-Learning and Bandit-Based Policy Selection: A Simulation Study

Breast Cancer Diagnosis Based on a Hybrid Genetic Algorithm and Neural Network Architecture

Advancing Indonesian Audio Emotion Classification: A Comparative Study Using IndoWaveSentiment

Implementation of Microservices Architecture in a Retail Web Application Using Apache Kafka as a Message Broker

Sentiment Analysis of Slang Language Trends in Generation Alpha on Social Media Using BERT

Wearable Sensors for Health Monitoring: Technologies, Applications, Challenges, and Future Perspectives

A Study of Machine Learning Approach to Predict the Out performance Market of Japan’s Stock Price

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