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Menampilkan 11–20 dari 46 artikel
Pelatihan dan Praktik Daur Ulang Sampah Menjadi Benda Layak Jual Di Desa Troso
Rohman, Mardihono Nur
; Praditya, Muhammad Bintang
; Muttaqien, Habib Nafis
; Riyanto, Arla Aulia Salsabilla
; Putri, Yayang Mayla Murtopo
; Khanza, Frilly Diaz Mahira
; Graciana, Nadia
; ayu intan
; Wati, Diah Retno
; Putri, Facicha Priyono
; Maharani, Danica Vasthi
; Setiyani, Hirma Nova
; Seran, Oktavianggi Abuk
; Dewi, Untari Narulita Madyar
The Community
Vol 3
, No 1
(2025)
ABSTRACT
Plastic waste is one of the largest contributors to waste generation in Indonesia and is difficult to decompose, causing severe environmental pollution. Through a community service program, KKN students conducted training and practical recycling activities by involving PKK women cadres, village administrators, and local residents to transform plastic waste into creative and marketable products. The methods included awareness sessions on the dangers of plastic waste, hands-on training in...
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Experimental Evaluation of Various Chaos-based Image Encryption Schemes
Journal of Computing Theories and Applications
Vol 3
, No 1
(2025)
The widespread use of digital images, driven by low-cost, handheld acquisition devices, has increased the need for robust security measures to safeguard privacy. This demand is further underscored by rising identity theft and other image-related crimes. This study presents a chaos-based experimental evaluation of contemporary image encryption algorithms. Owing to intrinsic properties such as sensitivity to initial conditions and pseudo-randomness, chaos theory has become increasingly prominent i...
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An Analysis of Persuasive Communication with Ethnographic Communication Approach at Junior High Schools in West Bandung
Jurnal Komunikasi Pendidikan
Vol 9
, No 2
(2025)
Improving student discipline is one of the main challenges in the education system. This study explores the application of persuasive communication patterns in improving the discipline of high school students in West Bandung with the SPEAKING approach from Dell Hymes. This approach identifies relevant communication components, including settings, participants, goals, and norms, to produce more effective interactions between teachers and students. This study uses qualitative methods with in-depth...
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Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection
Setiadi, De Rosal Ignatius Moses
; Ojugo, Arnold Adimabua
; Pribadi, Octara
; Kartikadarma , Etika
; Setyoko, Bimo Haryo
; Widiono, Suyud
; Robet, Robet
; Aghaunor, Tabitha Chukwudi
; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To addres...
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Pengembangan Kapasitas Manajerial UMKM untuk Meningkatkan Daya Saing Melalui Inovasi Teknologi
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 1
(2025)
Micro, Small, and Medium Enterprises (UMKM) play a crucial role in the national economy. However, significant challenges such as limited resources, market access, and inadequate managerial capabilities remain obstacles to enhancing competitiveness. Developing managerial capacity through technological innovation has become a strategic solution for UMKM to survive and grow in the digital era. This study aims to analyze the importance of developing managerial capacity in improving UMKM competitiven...
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Feature Fusion with Albumentation for Enhancing Monkeypox Detection Using Deep Learning Models
Pratama, Nizar Rafi
; Setiadi, De Rosal Ignatius Moses
; Harkespan, Imanuel
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Monkeypox is a zoonotic disease caused by Orthopoxvirus, presenting clinical challenges due to its visual similarity to other dermatological conditions. Early and accurate detection is crucial to prevent further transmission, yet conventional diagnostic methods are often resource-intensive and time-consuming. This study proposes a deep learning-based classification model by integrating Xception and InceptionV3 using feature fusion to enhance performance in classifying Monkeypox skin lesions. Giv...
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Analisis Arus Kas dalam Menilai Kinerja Keuangan pada PT. Telkom Indonesia (Persero) Tbk Tahun 2019-2023
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 3
, No 2
(2025)
The study aims to determine how the financial performance of PT. Telkom Indonesia (Persero) Tbk is when assessed using cash flow statements and cash flow ratios. Data collection was carried out using Library research techniques and documentation. The population in this study is the 2019-2023 financial statements of PT. Telkom Indonesia (Persero) Tbk. The entire population in this study is also a sample. The research method uses descriptive analysis using cash flow from operating activities, inve...
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SISTEM PENDUKUNG KEPUTUSAN KENAIKAN JABATAN PADA CV. BHANU SARANA JAYA MENGGUNAKAN METODE PROFILE MATCHING: SISTEM PENDUKUNG KEPUTUSAN KENAIKAN JABATAN PADA CV. BHANU SARANA JAYA MENGGUNAKAN METODE PROFILE MATCHING
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 3
, No 1
(2025)
CV. Bhanu Sarana Jaya is a company that operates in the field of selling livestock equipment, where livestock needs are growing rapidly for various products. Therefore, with the development of the company, the number of employees increases and a person's abilities in their field increase over time. However, due to system limitations, the current system still uses Ms. Word, this creates a lack of neatness in the promotion system and employee profile data collection and has an impact on reports an...
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Outlier Detection Using Gaussian Mixture Model Clustering to Optimize XGBoost for Credit Approval Prediction
Setiadi, De Rosal Ignatius Moses
; Muslikh, Ahmad Rofiqul
; Iriananda, Syahroni Wahyu
; Warto, Warto
; Gondohanindijo, Jutono
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
Credit approval prediction is one of the critical challenges in the financial industry, where the accuracy and efficiency of credit decision-making can significantly affect business risk. This study proposes an outlier detection method using the Gaussian Mixture Model (GMM) combined with Extreme Gradient Boosting (XGBoost) to improve prediction accuracy. GMM is used to detect outliers with a probabilistic approach, allowing for finer-grained anomaly identification compared to distance- or densit...
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Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost
Ako, Rita Erhovwo
; Aghware, Fidelis Obukohwo
; Okpor, Margaret Dumebi
; Akazue, Maureen Ifeanyi
; Yoro, Rume Elizabeth
; Ojugo, Arnold Adimabua
; Setiadi, De Rosal Ignatius Moses
; Odiakaose, Chris Chukwufunaya
; Abere, Reuben Akporube
; Emordi, Frances Uche
; Geteloma, Victor Ochuko
; Ejeh, Patrick Ogholuwarami
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Customer attrition has become the focus of many businesses today – since the online market space has continued to proffer customers, various choices and alternatives to goods, services, and products for their monies. Businesses must seek to improve value, meet customers' teething demands/needs, enhance their strategies toward customer retention, and better monetize. The study compares the effects of data resampling schemes on predicting customer churn for both Random Forest (RF) and XGBoost ense...
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