Farlian Sari Ramadini, Joy Nashar Utamajaya

Efisiensi Manajemen Koleksi dalam Perpustakaan Digital: Pendekatan Systematic Literature Review

Informatics

Penelitian ini bertujuan untuk menganalisis efisiensi manajemen koleksi dalam perpustakaan digital melalui pendekatan Systematic Literature Review (SL...

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This systematic literature review, titled "Efisiensi Manajemen Koleksi dalam Perpustakaan Digital," tackles a highly pertinent and critical area withi...

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Serliana Serliana, Joy Nashar Utamajaya

Pendekatan Terintegrasi Audit Sistem Informasi: Menilai Keamanan dan Efektivitas Pengelolaan TI di Era Industri 4.0

Informatics

Penelitian ini mengusulkan pendekatan terintegrasi dalam audit sistem informasi untuk menilai keamanan dan efektivitas pengelolaan TI di era Industri...

Review:

The article, "Pendekatan Terintegrasi Audit Sistem Informasi: Menilai Keamanan dan Efektivitas Pengelolaan TI di Era Industri 4.0," addresses a highly...

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Purwadi Joko Widodo Widodo, Heru Sukanto, Budi Santoso, Lullus Lambang Govinda Hidayat, Joko Triyono, Iwan Istanto, Rahman Wijaya, Fitrian Imaduddin

A Comparative Study of Traditional PID Tuning Techniques and AI-Based Algorithmic Approaches Utilizing the Python Control Library

Informatics

This study aims to compare PID parameter settings with conventional tuning methods and tune methods using AI (artificial intelligence)...

Review:

This study presents a timely and relevant comparative analysis of PID controller tuning methods, juxtaposing the conventional Ziegler-Nichols (ZN) tec...

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Ni Made Asri Sasmita, I Made Candiasa, Dewa Gede Hendra Divayana

ANALISIS KESUKSESAN SISTEM INFORMASI UNGGULAN UNIVERSITAS NGURAH RAI (SUNARI) MENGGUNAKAN METODE DELONE AND MCLEAN

Informatics

Sistem Unggulan Universitas Ngurah Rai (SUNARI) sebagai upaya Universitas Ngurah Rai guna meningkatkan kualitas pelayanan dan pengelolaan data kemahas...

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This paper presents a timely and relevant evaluation of the Ngurah Rai University Flagship Information System (SUNARI), a crucial initiative aimed at...

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Aris Gunadi, Dewi Oktofa Rachmawati

SISTEM DETEKSI GAS BERBASIS TEKNOLOGI IOT ARDUINO

Informatics

Penelitian ini adalah penelitian dasar / fundamental , yang mencoba untuk mengimlementasikan konsep dan teori dalam bentuk sebuah aplikasi /penerapan...

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The paper presents a fundamental research effort focused on developing an Internet of Things (IoT)-based gas detection system utilizing Arduino techno...

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Mochammad Fatha Mudzhaffar

Analysis of Hotspot Network Quality Using the Quality of Service (QoS) Method to Support Teaching and Learning Activities at State Vocational High School 1 Gebang

Informatics

A hotspot is a wireless network that provides internet access to users via Wi-Fi devices. The quality of a hotspot network is crucial in supporting va...

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This study presents a timely analysis of hotspot network quality at SMK Negeri 1 Gebang, specifically evaluating its capacity to support essential tea...

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Nazwa Arraudhah

IMPROVING SALES CLASSIFICATION OF FASHION PRODUCTS AT SABHIRA OFFICIAL WITH RANDOM FORES

Informatics

Abstract This research focuses on improving the accuracy of the fashion product sales classification model at Sabhira Official Store by applying the R...

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This paper, titled "IMPROVING SALES CLASSIFICATION OF FASHION PRODUCTS AT SABHIRA OFFICIAL WITH RANDOM FORES," presents a focused study on enhancing s...

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Vaara Bugay Russell, Outeiral Strahm Sushkov, Koch Bohnet Böhm

Quantum-assisted NMR data processing: enhancing sensitivity and resolution with quantum computing algorithms

Informatics

Quantum computing is used to improve NMR spectroscopy sensitivity and resolution. Many scientific fields employ NMR to analyze molecular st...

Review:

This paper presents a compelling vision for leveraging quantum computing to address persistent limitations in classical NMR data processing, specifica...

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Tuslaela Tuslaela, Enok Tuti Alawiah, Helina Apriyani

Implementation of the Topsis Method in Determining Online Shopping Options in the Marketplace

Informatics

The development of information technology changes the way customers view shopping. Currently, customers are more likely to make online shop...

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Safii Safii, Mochamad Wahyudi, Dedy Hartama

QUANTUM-ASSISTED FEATURE SELECTION FOR IMPROVING PREDICTION MODEL ACCURACY ON LARGE AND IMBALANCED DATASETS

Informatics

One of the biggest obstacles to creating precise machine learning models is choosing representative and pertinent characteristics from big, unbalanced...

Review:

The paper "QUANTUM-ASSISTED FEATURE SELECTION FOR IMPROVING PREDICTION MODEL ACCURACY ON LARGE AND IMBALANCED DATASETS" addresses a critical challenge...

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