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Comparison of Multiple Linear Regression and Random Forest for Predicting Student Final Grades Using Google Colab
Digital Business Intelligence Journal
Vol 2
, No 1
(2026)
A student's learning success is largely determined by their academic evaluation. Estimating a student's final grade can assist educational institutions in conducting initial assessments of academic achievement. This study aims to analyze the performance of the Multiple Linear Regression (MLR) and Random Forest (RF) algorithms in predicting students' final grades using Google Colab. This research method uses a quantitative approach using secondary data that includes age, mid-term exam scores, fin...
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TRANSFORMASI STRATEGI PROMOSI DIGITAL UMKM MELALUI PELATIHAN FOTO PRODUK BERBASIS PRAKTIK MEDIA SOSIAL
Muafi, Siti Liza
; Asmiarti, Yufrida
; Kusumaningtyas, Nadya
; Rohman, Farkhan Nur
; Franscikal, Aditya
; Pamungkas, Yoma Bagus
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 6
, No 1
(2026)
Abstract
The development of social media has made visual content a crucial element in MSME promotional strategies. However, many MSME actors still face limitations in producing attractive product photographs that align with the characteristics of social media platforms. This Community Service Program (PKM) aimed to enhance the understanding and skills of MSME actors in Jomblang Subdistrict in product photography to support the optimization of digital promotion. The implementation method employed...
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ANALISIS KINERJA KEUANGAN DAERAH KABUPATEN TIMOR TENGAH UTARA
Sanbein, Godeliva Susan
; Oki, Kamilaus Konstance
; Redjo, Paulina Rosna Dewi
; Redjo, Paulina Rosna Dewi
Perwira Journal of Economics and Business
Vol 6
, No 1
(2026)
North Central Timor (TTU) Regency still faces challenges in optimally managing regional potential and remains dependent on central government funding. To increase financial independence, it is crucial for the local government to manage resources efficiently and utilize local potential. The main problem is the low level of regional financial independence in North Central Timor (TTU) Regency. The method used in this study is a quantitative, involving the collection and analysis of numerical data t...
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An Attention-Enhanced CNN–RBF Framework for Network Intrusion Detection in Imbalanced Traffic
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The increasing complexity and scale of modern network traffic driven by IoT and cloud-based infrastructures have made accurate intrusion detection a critical challenge. Conventional network intrusion detection systems (NIDS) and many deep learning–based approaches struggle to reliably detect minority and stealthy attacks due to severe class imbalance and limited discrimination of subtle traffic patterns. To address these limitations, this study proposes a hybrid CNN–RBF–Attention framework for n...
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Implementing Odoo-Based ERP Sales and Inventory Modules (Case Study: UMKM Sirup Cap Manggis)
Heraditya, Nalendra Cahaya
; Yulianto, Nanda Bagus
; Faisal, Selamet Ahmad
; Supriyono, Supriyono
; Heraditya, Nalendra Cahaya
; Firmansyah, Tirta Wahyu
; Yulianto, Nanda Bagus
; Faisal, Selamet Ahmad
; Supriyono, Supriyono
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 2
(2026)
Usaha Mikro, Kecil, dan Menengah (UMKM) sering menghadapi tantangan dalam pengelolaan data operasional, khususnya pada aktivitas penjualan dan persediaan. UMKM Sirup Cap Manggis sebagai produsen minuman lokal masih mengandalkan pencatatan manual, yang sering menyebabkan ketidaksesuaian data stok, keterlambatan pelaporan, serta alur kerja yang kurang efisien. Kondisi tersebut menunjukkan perlunya sistem informasi terintegrasi yang mampu mendukung pengelolaan data secara akurat dan real-time. Pene...
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Analisis Sentimen Publik terhadap Pembangunan Ibu Kota Nusantara (IKN) menggunakan Algoritma Naive Bayes
Baginda Oloan Lubis
; Benny Firmansyah
; Hilmy Putra
; Soni Irawan
; Ainindia Nur Alizah
; Muhammad Ibrahim Adnan
; Daniel Marulitua Situmorang
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Pembangunan Ibu Kota Nusantara (IKN) merupakan salah satu proyek strategis nasional yang banyak mendapatkan perhatian publik karena dampaknya yang luas pada aspek sosial, ekonomi, dan politik di Indonesia. Media sosial, khususnya TikTok, memainkan peran penting dalam membentuk dan merefleksikan opini masyarakat, sehingga menjadi sumber data yang relevan untuk analisis sentimen secara real-time. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap progres pembangunan IKN menggunak...
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Analisis Sentimen Publik terhadap Pembangunan Ibu Kota Nusantara (IKN) menggunakan Algoritma Naive Bayes
Lubis, Baginda Oloan
; Firmansyah, Benny
; Putra, Hilmy
; Irawan, Soni
; Alizah, Ainindia Nur
; Adnan, Muhammad Ibrahim
; Situmorang, Daniel Marulitua
; Lubis, Baginda Oloan
; Firmansyah, Benny
; Putra, Hilmy
; Irawan, Soni
; Alizah, Ainindia Nur
; Adnan, Muhammad Ibrahim
; Situmorang, Daniel Marulitua
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Pembangunan Ibu Kota Nusantara (IKN) merupakan salah satu proyek strategis nasional yang banyak mendapatkan perhatian publik karena dampaknya yang luas pada aspek sosial, ekonomi, dan politik di Indonesia. Media sosial, khususnya TikTok, memainkan peran penting dalam membentuk dan merefleksikan opini masyarakat, sehingga menjadi sumber data yang relevan untuk analisis sentimen secara real-time. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap progres pembangunan IKN menggunak...
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Multimodal Deep Learning for Pneumonia Detection Using Wearable Sensors: Toward an Edge-Cloud Framework
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near...
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Development of an IoT-Based Smart Water System Roadmap in Singkawang City through a Comparative Study of Surabaya and Balikpapan
Vol 5
, No 1
(2026)
The City of Singkawang faces significant challenges in drinking water management, characterized by limited production capacity, high non-revenue water (NRW), and the absence of digital infrastructure such as AMR, LoRaWAN, and DMA, necessitating a structured development framework to support the transition toward a smart water system. This study formulates an IoT-based smart water roadmap aligned with the regional development plan (RPJMD) and the operational capacity of the local water utility thr...
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Development of an IoT-Based Smart Water System Roadmap in Singkawang City through a Comparative Study of Surabaya and Balikpapan
Ernesto, Brian
; Prasetya, Jonathan Ansell
; Subrata, Kenneth Marchelino
; Siregar , Master Edison
; Ernesto, Brian
; Prasetya, Jonathan Ansell
; Subrata, Kenneth Marchelino
; Siregar , Master Edison
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
The City of Singkawang faces significant challenges in drinking water management, characterized by limited production capacity, high non-revenue water (NRW), and the absence of digital infrastructure such as AMR, LoRaWAN, and DMA, necessitating a structured development framework to support the transition toward a smart water system. This study formulates an IoT-based smart water roadmap aligned with the regional development plan (RPJMD) and the operational capacity of the local water utility thr...
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