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Rancang Bangun Alat Peningkatan Keamanan Pintu Belakang Kendaraan Angkutan Barang
Teknik: Jurnal Ilmu Teknik dan Informatika
Vol 5
, No 1
(2025)
Vehicles in Indonesia are an important part of moving people or goods from one place to the destination, one of which is the transportation of boxed goods. However, the lack of security for boxed goods transport vehicles has always been the target of burglary of goods cargo in the area of Jalan Perniagaan Barat Roa Malaka Tambora, West Jakarta, perpetrators of goods theft from boxed goods cars that are traveling. Therefore, it is necessary to have a security system that can notify the driver whe...
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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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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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Penggalian Potensi Wisata Desa Kemlagi dalam Pengembangan Destinasi Wisata Kampung Tematik
Eny Rachmawati
; Didit Panji Saputra
; Risma Millatul Ummah
; Bambang Wijanarko
; Putri Diah Ayu Lestari
; Ika Vitriasari
; Bravo Chandra Arista
; Mochamad Farizal
; Mukhamad Agung Maulana
; Kintan Puspita Wardani
; Debrina Putri Buana
; Nur Vina Yulfana
; Putri Virda Rahayu
; Faren Kesita Gelioni
; Ervinda Hardina Dwi Pratiwi
; Arvianti Pramudita Tjandra
; Ricky Damara Paulus
; Puput Anggraeni
; Sintia Roseta Dela
; Salwa Firdaus Syah
; Bentar Putra Setiyanto
; Adinda Putri Sari Rahayu
; Fathurachman Samba
; Elly Kurniawati
; Muhammad Yunus
; Vony Puspitasari
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 4
, No 2
(2025)
Village potential greatly influences the community's economy. Management of superior village products from various sectors will influence and provide beneficial impacts for the village itself. Kemlagi Village, Mojokerto Regency has various products in the tourism sub-sector based on culture/local wisdom, agriculture and livestock whose quality is not inferior to other potential villages. To increase the potential of the village area, it is necessary to increase the village branding of any potent...
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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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Pemberian Nutrisi pada Penderita Kanker Paru
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 2
, No 3
(2024)
Lung cancer is all malignant diseases in the lungs. In Indonesia in 2020, it was ranked third with 34,783 cases. The nutritional problem faced by lung cancer patients is the difficulty of receiving food. As a result of the presence of cancer in the body and the effects of treatment therapy, cancer patients experience various nutritional problems that if not overcome immediately can worsen their health conditions. Experts state that cancer patients need nutritional screening to detect nutritional...
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Strategi Guru dalam Mengembangkan Kemampuan Literasi Siswa di Sekolah Dasar
Ellystini Gea
; Faradiba Rukmanti
; Dosma Mulianti Br Manik
; Arna Dini Hulu
; Wandi Suprianto Zebua
Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan
Vol 3
, No 3
(2024)
Literacy skills are one of the basic competencies that every student at elementary school level must have. Literacy does not only include the ability to read and write, but also involves the ability to think critically, understand information, and apply knowledge in everyday life. This article aims to discuss various strategies that can be used by teachers in developing students' literacy skills in elementary schools. The research method used is literature study and descriptive analysis of vario...
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Implementasi Metode Ahp Dalam Sistem Pendukung Keputusan Untuk Menilai Kompetensi Softskill Calon Karyawan
Dinamik
Vol 29
, No 2
(2024)
Penilaian kompetensi softskill calon karyawan dalam seleksi dan rekrutmen tenaga kerja merupakan aspek penting. Namun, proses ini sering kali masih mengandalkan metode subjektif yang dapat mengurangi akurasi keputusan. Oleh karena itu, dibutuhkan pendekatan objektif dalam penilaian yang dapat menghasilkan keputusan yang lebih akurat. Salah satu metode yang dapat digunakan adalah Analytic Hierarchy Process (AHP). Metode ini membangun model hierarki yang mencakup kriteria dan subkriteria dalam pen...
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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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Pengaruh Pelaksanaan Kegiatan Ekstrakurikular Pramuka Terhadap Pendidikan Karakter Siswa di SDN 060826 Kecamatan Medan Area
Rizka Fadhilah Priono
; Juni Mellyani Hasibuan
; Zulhijjah Febriyani Sitepu
; Maria Grasella Silaban
; Fajar Siddik Siregar
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 3
, No 3
(2024)
The aim of this research is to analyze the influence of scout extracurricular activities in elementary schools on students' personality development. The research method used is a qualitative approach using data collection techniques of in-depth interviews, participatory observation and document analysis. The research population consisted of elementary school students, teachers, and scout leaders. Research shows that scouting activities have an important role in developing student character. This...
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