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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Yoga Handoko Agustin, Nabil Nur Afrizal

SENTIMENT ANALYSIS OF IT WORKERS ON NO CODE AND LOW CODE TRENDS: COMPARISON OF LSTM AND SVM MODELS

Informatics

This research explores the sentiment of IT professionals toward the growing trend of No Code and Low Code technologies by comparing the performance of...

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This research presents a timely and relevant exploration into the sentiment of IT professionals regarding No Code and Low Code (NCLC) technologies, a...

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Ikhwanul Muslimin, Syaharuddin, Vera Mandailina, Saba Mehmood, Wasim Raza

PERFORMANCE EVALUATION OF NEWTON–KONTOROVICH AND ADAPTIVE NEWTON LINE SEARCH ON MULTIVARIATE NONLINEAR SYSTEMS

Mathematics

Solving multivariate nonlinear systems is essential in engineering, physics, and applied sciences. This study compares the performance of two numerica...

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This study tackles the pertinent problem of solving multivariate nonlinear systems, a foundational challenge across various scientific and engineering...

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Aprilia Pratiwi, Mahsa Elvina Rahmawyanet, Prasetyo Adi Wibowo Putra, Dana Indra Sensuse

SYSTEMATIC LITERATURE REVIEW ON ARTIFICIAL INTELLIGENCE IN INDONESIA’S PUBLIC SECTOR: REIMAGINING DIGITAL GOVERNMENT

Administration

This study conducts a Systematic Literature Review (SLR) to critically examine the application of Artificial Intelligence (AI) in e-government within...

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This systematic literature review comprehensively examines the nascent landscape of Artificial Intelligence (AI) application in e-government within In...

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Arief Jintan Permata, Asril Asril

Romantic Sadness in the Themes and Genres of Popular Minang Songs: A Producer's Perspective

Music

The research titled “Romantic Sadness in the Themes and Genres of Popular Minang Songs: A Producer’s Perspective” uses a semiotic analysis approach. I...

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The paper, "Romantic Sadness in the Themes and Genres of Popular Minang Songs: A Producer's Perspective," proposes a fascinating and culturally signif...

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