Zulfian Azmi, Rina Julita, Novica Irawati, Sofyan Pariyasto, Ellanda Purwawijaya

COMPARATIVE ANALYSIS OF HYPERPARAMETER OPTIMIZATION TECHNIQUES ON LIGHTGBM FOR ASTHMA PREDICTION

Biomedical

This study presents a comparative study of hyperparameter optimization methods applied to the Light Gradient Boosting Machine (LightGBM) algorithm for...

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This study presents a timely and relevant comparative analysis of hyperparameter optimization (HPO) techniques applied to LightGBM for asthma predicti...

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Andi Saryoko, Faruq Aziz

YOLO MODEL DETECTION OF STUDENT NEATNESS BASED ON DEEP LEARNING: A SYSTEMTIC LITERATURE REVIEW

Education

Maintaining proper student neatness (uniform compliance, grooming standards, and posture) is essential for fostering disciplined learning environments...

Review:

This systematic literature review, "YOLO Model Detection of Student Neatness Based on Deep Learning," provides a timely and relevant examination of au...

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Endang Retnoningsih, Syahbaniar Rofiah, Sendi Rifa Arofah

MONITORING ELDERLY HEART RATE BASED ON OXIMETER SENSORS

Biomedical

Heart rate check is an important step in preventing heart attacks that is often not realized by the elderly. However, independent heart rate checks by...

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Mufida Fauziah Faiz, Achmad Fauzan

UNVEILING SPATIAL PATTERNS OF LAND CONVERSION THROUGH MACHINE LEARNING AND SPATIAL DISTRIBUTION ANALYSIS

Geography

Kayu Agung District in Ogan Komering Ilir (OKI) Regency, South Sumatra, has undergone rapid population growth, resulting in notable land-use transform...

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Ajeng Savitri Puspaningrum, Erliyan Redy Susanto, Nirwana Hendrastuty, Setiawansyah Setiawansyah

REFORMULATION OF MULTI-ATTRIBUTE UTILITY THEORY NORMALIZATION TO HANDLE ASYMMETRIC DATA IN MADM

Statistics

Multi-Attribute Utility Theory (MAUT) is a widely used multi-attribute decision-making (MADM) method due to its ability to integrate multiple criteria...

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This paper addresses a crucial limitation within Multi-Attribute Utility Theory (MAUT), specifically its challenge in effectively handling asymmetric...

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Deki Satria, Qilbaaini Effendi Muftikhali, Dea Wemona Rahma, Dimas Bayu Arkaan, Zain Ammar Falih

RE-DESIGNING JAKLINGKO APPS UI/UX USING AGILE REQUIREMENT ENGINEERING APPROACH

Informatics

Public transportation has become a staple in a lot of countries, including Indonesia. As the largest city in Indonesia, is trying to accommodate the d...

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This paper addresses a highly relevant and practical problem: the need to improve the user experience of the Jaklingko public transportation applicati...

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Dentik Karyaningsih, Farid Wajdi, Muhammad Nurhaula Huddin, Diki Susandi, Akip Suhendar, Anharudin Anharudin, Shohifah Annur

INTEGRATED SYSTEM-BASED SMART APPLICATION (SIPATIN) FOR STRENGTHENING FISHERIES GOVERNANCE IN LEBAK REGENCY, BANTEN

Fisheries

The Fisheries Office of Lebak Regency is responsible for the management of capture fisheries, aquaculture, resource monitoring, and the marketing of f...

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This study introduces SIPATIN (Integrated System-Based Smart Application), a timely and relevant initiative designed to strengthen fisheries governanc...

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Sri Hadianti, Dwiza Riana, Herdian Tohir, Jarwadi Jarwadi, Tjaturningsih Rosdiana, Evi Sopandi, Dinar Ajeng Kristiyanti

WORD2VEC OPTIMALIZATION USING TRANSFER LEARNING IN INDONESIAN LANGUAGE FOR HIGHER EDUCATION

Informatics

Natural language processing (NLP) in Indonesian faces challenges due to limited linguistic resources, particularly in developing optimal word embeddin...

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This study tackles a pertinent challenge in Indonesian Natural Language Processing (NLP): the optimization of word embedding models, specifically Word...

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Nurul Firdaus, Berliana Kusuma Riasti, Muhammad Asri Safi'ie

COMPARATIVE STUDY OF TRANSFORMER-BASED MODELS FOR AUTOMATED RESUME CLASSIFICATION

Informatics

This study presents a comparative evaluation of transformer-based models and traditional machine learning approaches for automated resume classificati...

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Dahlan Susilo, Diyah Ruswanti, Supriyanta, Wawan Nugroho

COMPARISON OF PRINCIPAL COMPONENT ANALYSIS AND RANDOM FOREST ALGORITHM FOR PREDICTING HOUSING PRICES

Informatics

House price predictions are an important thing in the property industry and are useful for buyers in making decisions. Principal Component Analysis (P...

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