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Menampilkan 1–10 dari 23 artikel
Investigating a SMOTE-Tomek Boosted Stacked Learning Scheme for Phishing Website Detection: A Pilot Study
Ugbotu, Eferhire Valentine
; Emordi, Frances Uchechukwu
; Ugboh, Emeke
; Anazia, Kizito Eluemunor
; Odiakaose, Christopher Chukwufunaya
; Onoma, Paul Avwerosuoghene
; Idama, Rebecca Okeoghene
; Ojugo, Arnold Adimabua
; Geteloma, Victor Ochuko
; Oweimieotu, Amanda Enaodona
; Aghaunor, Tabitha Chukwudi
; Binitie, Amaka Patience
; Odoh, Anne
; Onochie, Chris Chukwudi
; Ezzeh, Peace Oguguo
; Eboka, Andrew Okonji
; Agboi, Joy
; Ejeh, Patrick Ogholuwarami
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
The daily exchange of informatics over the Internet has both eased the widespread proliferation of resources to ease accessibility, availability and interoperability of accompanying devices. In addition, the recent widespread proliferation of smartphones alongside other computing devices has continued to advance features such as miniaturization, portability, data access ease, mobility, and other merits. It has also birthed adversarial attacks targeted at network infrastructures and aimed at expl...
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Pengembangan Website Sebagai Sarana Edukasi dan Promosi Tari Topeng Ireng di Desa Ngaru-Aru, Kecamatan Banyudoono, Kabupaten Boyolali: Digitalisasi Kebudayaan
Candrakristawan, Wisnu Aditya
; Noventari, Widya
; Setyaningsih, Nunung
; Utama, Annisa Eka
; Famelia, Alina Azka
; Prayoga, Silas Akwila
; Fiorenza, Danella
; Novitasari, Emilia
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 9
, No 2
(2025)
Era digital membawa tantangan sekaligus peluang dalam pelestarian budaya lokal. Desa Ngaru-Aru, yang kaya akan warisan budaya seperti Tari Topeng Ireng, menghadapi kendala dalam promosi budaya akibat kurangnya dokumentasi dan media digital yang representatif. Program pengabdian masyarakat ini bertujuan mengembangkan website bundaru.com sebagai media edukasi dan promosi seni budaya lokal. Metode yang digunakan meliputi observasi partisipatif, wawancara, dokumentasi, dan FGD dengan pihak-pihak yan...
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PENGARUH PENGGUNAAN GEOGEBRA TERHADAP HASIL BELAJAR MATEMATIKA KELAS VIIIA SMP YPPI 3 SURABAYA
JIPMat (Jurnal Ilmiah Pendidikan Matematika)
Vol 10
, No 1
(2025)
Keberhasilan peserta didik dalam belajar ditentukan banyak hal, salah satunya cara penyajian materi. Media pembelajaran yang paling sering digunakan adalah media sederhana sehingga peserta didik tidak terlalu termotivasi untuk mengikuti pembelajaran matematika, untuk itu perlu dicoba media pembelajaran yang lebih interaktif, salah satunya Geogebra. Penelitian ini bertujuan untuk mengetahui signifikansi pengaruh pembelajaran menggunakan media Geogebra terhadap hasil belajar peserta didik kelas VI...
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A Machine Learning Based Approach to Course and Career Recommendation System: A Systematic Literature Review
Iorzua, Joseph Tersoo
; Moses, Timothy
; Eke, Christopher Ifeanyi
; Agushaka, Ovre Jeffery
; Kwaghtyo, Dekera Kenneth
; Godswill, Theophilus
Journal of Computing Theories and Applications
Vol 3
, No 1
(2025)
Learners are continually faced with choosing appropriate courses or making career choices due to increased educational opportunities. The emergence of machine learning-based course and career recommender systems has the potential to address this issue, offering personalized course recommendations tailored to individual learning pathways, preferences, and learning history. The optimization and feature engineering techniques and practical deployment environments have not been collectively examined...
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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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Meminimalkan Biaya operasional dan Memaksimalkan Kepuasan Pelanggan dalam Perusahaan Transportasi Laut di PT XYZ Jakarta
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 30
, No 2
(2025)
In the maritime transportation industry, companies face challenges in minimizing operational costs while maximizing customer satisfaction. PT XYZ, as one of the leading maritime transportation companies, needs to adopt effective strategies to achieve these objectives. This study aims to identify cost-efficiency methods that can be implemented and analyze the impact of costs on customer satisfaction. By using relevant data and case studies, this research is expected to provide in-depth insights f...
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The Impact of Recruitment Strategies and Crew Competencies on Maritime Operational Performance: A Study of PT Sillo Maritime Perdana Tbk
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 30
, No 2
(2025)
The maritime sector is critical for global trade and economic development, yet challenges in workforce development persist, particularly in tanker operations handling dry bulk cargo like agricultural products. This research investigates the interplay between recruitment strategies, crew competencies, and ship operational performance, with a focus on PT Sillo Maritime Perdana Tbk, a key player in Indonesia’s offshore shipping sector. Addressing gaps in aligning workforce development with industry...
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Persepsi Stakeholder terhadap Inovasi Digital dalam Jasa Keagenan Kapal di Pelabuhan Batam
Samiyono Samiyono
; Agung Kwartama
; Paiman Paiman
; Desiana Endah Pramesti
; Sumiyatiningsih Sumiyatiningsih
; Akhmad Sopani
DHARMA EKONOMI
Vol 31
, No 2
(2024)
Digital innovation has become a crucial catalyst for the transformation of the ship agency services sector, particularly within the Port of Batam. This paper seeks to examine the perceptions of diverse stakeholders, including shipping agents, vessel owners, and local authorities, regarding the integration of digital innovations into ship agency services. Employing a combination of qualitative and quantitative methodologies, this research collects data through surveys and in-depth interviews with...
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Assessment of Abiotic Factors for Sea Turtle Nesting Suitability in Coastal Bays
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
Cilacap Bays, critical nesting areas for sea turtles, face growing habitat disturbances from tourism. However, studies on nesting suitability in these regions remain scarce. This research assesses the abiotic factors influencing sea turtle nesting in Cilacap Regency, Indonesia, across eight observation stations. Key ecological parameters—land surface temperature (28°C - 36.3°C), pH (mean 6.8), sand particle size (0.212-0.500 mm), beach slope (11.50%-20.99%), and beach width (28.8m-81.8m)—were ev...
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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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