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Kenali Dan Cegah Demam Berdarah Dengue Sebagai Upaya Pencegahan Dan Penanggulangan Penyakit
Arisandi, Desto
; Arisandi, Desto
; Bulu, Martinus Tagu
; De Jesus, Maria Carolina
; Saraswati, Farikhatun Nisaa
; Mosa, Rambu Pedi
; Nono, Arianto
; Bolosan, Fabio Andre
; Dapa Ole, Ericson Umbu Robaka
; Nadifah, Fitri
Dengue Hemorrhagic Fever (DHF) is transmitted through the bites of Aedes aegypti and Aedes albopictus mosquitoes. Efforts that can be made to reduce the incidence of dengue fever are through the 3M plus movements (draining, burying and covering) and carrying out preventive activities such as sprinkling larvicide powder, using mosquito repellent, and planting mosquito repellent plants. The aim of this community service is to increase public knowledge about recognizing and preventing dengue fever...
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Youth Engagement in Global Affairs: FPCI Goes to SMA Muhammadiyah 3 Jakarta
An International Journal Tourism and Community Review
Vol 2
, No 2
(2025)
This article discusses the implementation of FPCI Goes to School (FGTS) 4.0, an educational outreach initiative conducted by the Foreign Policy Community of Indonesia (FPCI) Chapter UPN Veteran Jakarta, with the objective of increasing students’ awareness and understanding of international political dynamics. The initiative addresses the growing need for public literacy on global issues that often have indirect but significant effects on national and local communities, such as trade disruptions...
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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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3 Sitasi
How Do Early Childhood Children Understand Religious Values Education?
Paudia
Vol 14
, No 2
(2025)
This study explored early childhood perceptions of religious values education at Kemala Bhayangkari 30 STIK Kindergarten. Using a quantitative approach with a survey method, this study involved 20 purposively selected children aged 4-6 years. Data was collected through direct observation to measure children's understanding of religious value concepts, such as honesty, kindness, and respect. The results showed that 40% of the children understood the value of honesty well, 35% understood the value...
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Teaching at The Right Level Approach with the Problem Based Learning Model Effect on Physics Problem Solving Ability
Jurnal Penelitian Pembelajaran Fisika
Vol 16
, No 2
(2025)
Physics lessons are among the most interesting because they relate to actual events. Physics learning requires an independent learning process that equips students with problem-solving skills. This study examines how the Problem-based Learning (PBL) model and the Teaching at the Right Level (TaRL) strategy affect the resolution of physics issues involving momentum and impulse topics. There are 375 grade XI students participating in a quasi-experiment with a non-equivalent control group design. T...
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1 Sitasi
Increasing Financial Management Awareness of Indonesian Immigrant Workers in Taiwan Through Training Activities
Brata, Ignatius Oki Dewa
; Bayunitri, Bunga Indah
; Laksono T. Y., H. R. Roosaleh
; Kartadjumena, Eriana
Indonesian Journal of Empowerment and Community Service
Vol 6
, No 1
(2025)
ABSTRACT
Limited understanding of financial management among Indonesian migrant workers (IMWs) in Taiwan often leads to financial instability, both during their employment and after returning home. One of the main contributing factors is the lack of access to financial education. This community service program aims to enhance the financial awareness and management skills of IMWs through a series of structured training activities. The method involved five key stages: needs assessment, material pr...
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KAJIAN PERANCANGAN VISUAL JOURNALING SEBAGAI TERAPI STRES DAN KECEMASAN BAGI MAHASISWA TINGKAT AKHIR
Citrakara
Vol 7
, No 1
(2025)
Kecemasan atau anxiety menjadi salah satu permasalahan psikologis yang sering dialami oleh mahasiswa. Hal itu dapat terjadi karena tuntutan akademis, finansial, tekanan sosial, ataupun mengenai masa depan. Jika tidak ditangani dengan baik, kecemasan dapat mempengaruhi performa akademis, kemampuan beradaptasi, stabilitas emosional, kesehatan fisik, maupun hubungan sosial atau kehidupan sehari-hari. Salah satu pendekatan yang dapat digunakan yaitu journaling atau membuat ju...
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Implementation and Training of Congregation Data Management Application at GPID Eben Haezer Palu
Bangkalang, Dwi Hosanna
; Evangs
; Setiyawati, Nina
; Hartomo, Kristoko Dwi
; Pakereng, Magdalena Ariance Ineke
Indonesian Journal of Empowerment and Community Service
Vol 6
, No 1
(2025)
Congregation data collection at GPID Eben Haezer is still done manually. This causes a lot of congregation data to be unsynchronized between the written data and the actual data. In addition, it also results in inefficient administrative services to the congregation. The vision of church digitalization also raises its own problems for the church, namely the unpreparedness of the church's human resources (HR) in digital capabilities. This Community Service (PkM) activity is to help and facilitate...
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Aspect-Based Sentiment Analysis on E-commerce Reviews using BiGRU and Bi-Directional Attention Flow
Setiadi, De Rosal Ignatius Moses
; Warto, Warto
; Muslikh, Ahmad Rofiqul
; Nugroho, Kristiawan
; Safriandono, Achmad Nuruddin
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Aspect-based sentiment Analysis (ABSA) is vital in capturing customer opinions on specific e-commerce products and service attributes. This study proposes a hybrid deep learning model integrating Bi-Directional Gated Recurrent Units (BiGRU) and Bi-Directional Attention Flow (BiDAF) to perform aspect-level sentiment classification. BiGRU captures sequential dependencies, while BiDAF enhances attention by focusing on sentiment-relevant segments. The model is trained on an Amazon review dataset wit...
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7 Sitasi
Perawatan dan Penjadwalan Mesin Cutting-Sawing Menggunakan Metode RCM
Jurnal Aplikasi Ilmu Teknik Industri
Vol 6
, No 1
(2025)
PT. XYZ adalah sebuah perusahaan manufaktur yang bergerak dalam produksi karung plastik jenis Polypropylene Woven Bag. Perusahaan ini mengadopsi sistem produksi berdasarkan pesanan (make to order). Penelitian ini bertujuan untuk melakukan analisis kerusakan yang terjadi di mesin cutting-sewing dan membuat penjadwalan rutin. Metode yang digunakan dalam penelitian ini adalah RCM (Reliability Centered Maintenance). Berdasarkan analisa menggunakan RCM terdapat nilai dari mean time to repair (MTTR) 0...
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