Article Per Year (5 Year)
p-Index From 2021 - 2026
6.273
P-Index
This Author published in this journals
All Journal Jurnal Reviu Akuntansi dan Keuangan Cakrawala Pendidikan Jurnal Natapraja : Kajian Ilmu Administrasi Negara JAS (Journal of ASEAN Studies) Jurnal Titra Indonesian Journal of Business and Entrepreneurship (IJBE) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Al-Ta'dib: Jurnal Kajian Ilmu Kependidikan Jurnal Organisasi Dan Manajemen International Journal of Technology And Business Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jurnal MoZaiK STI Policy and Management Journal Pharmaceutical Journal of Indonesia TEMALI : Jurnal Pembangunan Sosial Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sistem Teknik Industri JPSI (Journal of Public Sector Innovations) EDUTEC : Journal of Education And Technology Prosiding National Conference for Community Service Project JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Pengabdian kepada Masyarakat Nusantara Hubungan Tingkat Pengetahuan Petugas Pengelola Obat dengan Tingkat Ketersediaan Obat Di Puskesmas Kota Malang Zaaken: Journal of Civil and Business Law Jurnal Media Ekonomi Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi Jurnal Pengabdian Olahraga Masyarakat International Journal of Social Service and Research Jurnal Ilmu Manajemen Advantage International Journal of Science and Society (IJSOC) Algoritme Jurnal Mahasiswa Teknik Informatika Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Jurnal Keperawatan Profesional (KEPO) Enrichment: Journal of Multidisciplinary Research and Development Promotor: Jurnal Mahasiswa Kesehatan Masyarakat IIJSE Jurnal Mitra Teknik Industri Journal Health of Education Asian Journal of Social and Humanities
Chandra Wijaya
1). Radioisotope and Radiopharmaceutical Center, BATAN, Serpong. 2). Faculty of Pharmacy, University of Pancasila, Jakarta.
Religion Aerospace Engineering Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

Published : 52 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 52 Documents
Search

 2   3   4   5   6 
Atrial Fibrillation as an Initial Presentation of Thyroid Storm Newly Known Case in Elderly: Case Report Fabiola, Vanny Hilda; Wijaya, Chandra; Fauziah, Yurnisa
PROMOTOR Vol. 9 No. 2 (2026): APRIL
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/pro.v9i2.1916

Abstract

Introduction: Atrial fibrillation as an initial presenting symptom of thyroid storm especially in underdiagnosed hyperthyroidism’s patient is still under-reported in the literature. Thyroid storm is an uncontrolled hyperthyroid condition caused by an extreme increase in thyroid hormone in the circulation which is a rare life-threatening clinical condition. Atrial fibrillation can occur in 2 out of 10 thyroid storm patients with a mortality rate up to 25% if left untreated. Case Illustration: A 73-year-old woman, came to the ER at Awal Bros A Yani Hospital with palpitation as a chief complaint. The patient had never experienced in this complaint before, never been diagnosed with thyroid nodules or grave’s disease or ongoing any treatment. Patient was done treated aggressive and intensively as initial management in Intensive Care Unit (ICU) and continued with management of thyroid storm by controlling the tachyarrhythmia and underlying etiology disease. The examination tools were physical and laboratory examination tools. The data analysis technique used descriptive analysis with the result total score of Wayne Index Criterial is 30 (hypoerthyroidism) and using the Burch-Wartofsky criteria, with total Burch-Wartofsky Point Scale (BPWS) score is 60 suggestive of Thyroid Storm. Physical examination found a lump in the left side anterior neck area approximately 3x3 cm. On ECG examination, a picture of atrial fibrillation was obtained. From laboratory examination, it was found that there was a decrease in TSHS < 0.05 uIU/ml and an increased FT4 5.65 pmol/L and X-ray showed cardiomegaly with signs of pulmonary congestion. Conclusion: Early detection of thyroid storm can prevent mortality and morbidity because it is often missed due to atypical symptoms. Providing treatment for underlying conditions can reduce patient morbidity and mortality.
PENERAPAN CLUSTERING K-MEANS UNTUK SEGMENTASI PELANGGAN PADA BISNIS RETAIL: APPLICATION OF K-MEANS CLUSTERING FOR CUSTOMER SEGMENTATION IN RETAIL BUSINESSES Fahsya, Lucky Chairul; Wijaya, Chandra; Bintang, Firsta Maha; Mulyono, Justine James; Ramadhan, Fitrah; Amsury, Fachri
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 17 No. 1 (2026): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol17no1.p38-52

Abstract

Perkembangan bisnis retail online yang semakin pesat menuntut perusahaan untuk memahami perilaku pelanggan secara lebih mendalam agar dapat merancang strategi pemasaran yang efektif. Penelitian ini bertujuan untuk melakukan segmentasi pelanggan berdasarkan pola transaksi dengan menggunakan metode K-Means Clustering. Data yang digunakan merupakan data sekunder dari Online Retail Dataset yang diperoleh melalui UCI Machine Learning Repository, yang berisi catatan transaksi 4.338 pelanggan dari sebuah toko online di Inggris. Tahapan penelitian meliputi data preprocessing, pembentukan variabel Recency, Frequency, Monetary (RFM), standarisasi data, dan penerapan algoritma K-Means dengan jumlah cluster (k) = 3. Hasil penelitian menunjukkan bahwa pelanggan terbagi ke dalam tiga kelompok utama: pelanggan loyal (0,3%), potensial (74,8%), dan pasif (24,9%). Validitas clustering dikonfirmasi melalui tiga metrik evaluasi dengan Silhouette Score 0,602, Davies-Bouldin Index 0,756, dan Calinski-Harabasz Score 3.124,58. Cluster loyal berkontribusi 18,4% dari total revenue meskipun hanya 0,3% populasi. Penerapan metode K-Means terbukti efektif dalam mengidentifikasi pola perilaku pelanggan yang dapat dimanfaatkan untuk menentukan strategi retensi dan promosi yang lebih tepat sasaran.   The rapid growth of online retail businesses requires companies to deeply understand customer behavior in order to design effective marketing strategies. This study aims to perform customer segmentation based on transactional patterns using the K-Means Clustering method. The dataset used is secondary data obtained from the Online Retail Dataset available in the UCI Machine Learning Repository, containing transaction records of 4,338 customers from a UK-based online store. The research stages include data preprocessing, construction of Recency, Frequency, Monetary (RFM) variables, data standardization, and implementation of the K-Means algorithm with the number of clusters (k) set to three. The results show that customers are grouped into three main segments: loyal customers (0.3%), potential customers (74.8%), and passive customers (24.9%). Clustering validity is confirmed through three evaluation metrics with Silhouette Score of 0.602, Davies-Bouldin Index of 0.756, and Calinski-Harabasz Score of 3,124.58. The loyal cluster contributes 18.4% of total revenue despite representing only 0.3% of the population. The application of the K-Means method proves effective in identifying customer behavior patterns that support management in developing more targeted retention and promotional strategies.
Co-Authors Adi Luthfi, Bagus Adianto Agatha, Septian Agung Firman Sampurna Agus, Imaludin ainaya asmaralda, zahara Alpen, Joni Alyauma Hajjah Amalia Amalia Aminuyati Andreo Wahyudi Atmoko Apriani, Leni Aprillia, Dewinta Arkanuddin, Mohammad Fahmi Asfahani, Moh Basarudin Asido, Elpri Ayuningtiyas, Vallendiah Bernardus Yuliarto Nugroho Bima E, Fikral Bintang, Firsta Maha Budi Yulianto Budimayansah, Bambang Lestrika Candy, Candy Cendana, Colleen Daniel Daniel Dergibson Siagian Diah Anggraeni Jatraningrum Drahen Soeling, Pantius Dwinanti, Pratiwi Ernestine, Ernestine Fabiola, Vanny Hilda Fachri Amsury Fahmi, Mohammad Irfan Fahmi Fahsya, Lucky Chairul Fatmawati, Any Fatmawati, Fatmawati Fauziah, Yurnisa Fellyanto, Fellyanto Fibria Indriati Fitria . Gunadi Gan Gustiana, Rachmat Hafiz Irsyad Harisanti, Baiq Muli Hartrisari Hardjomidjojo Heryati, Neneng Husin, Saleh Hutabarat, Fauzi A. M. I Wayan Sukania Iman Firmansyah Indriyati Indriyati Irwan Budiman Johny Budiman Joni Emirzon Juliana, Eva Justin, Justin Kadir, Sitti Fatimah Khayrunnisa, Fauzia Maurizka Kuklin , Nikita Lahadalia, Bahlil Laksamana, Patria Lastiwi, Danarsiwi Tri Lely Hiryanto Lina Miftahul Jannah Lita Sari Barus M. Syamsul Maarif Margareta, Serlen Mayasari Mayasari, Mayasari Mayviana, Vivin Meiliana, Evita Meriyani, Susi Moh. Yahya Obaid, Moh. Yahya Moron, Maria Selvi MUHAMMAD TAUFIK Mulyono, Justine James Nazara, Elsa Neliwati Nina Mariana, Nina Nuryanto, Adi Nyoman Sutapa Octavianus Octavianus, Octavianus Okti Sri Purwanti Panca, Billy Susanto Permana, Anggit Jati Pradana, Aditya Wisnu Putri, Luckyta Anisti Ramadhan, Fitrah Rozali, Ahmad Saha Ghafur, A. Hanief Said Kelana Asnawi Saidil Mursali Salam Fadillah Alzah Samawati Saleh, Putu Santonius, celvin Saputra, Rian Amanda Saripudin Saripudin Sasono, Tusi Seva, Kristining SIGA, WILLFRIDUS DEMETRIUS Silalahi, Hadriani Uli Tiur Ida Silvia Monica sirait, asnita Siregar, Andi Suhendra Sisilia, Desy Siti Aisyah Soeling, Pantius Drahen Solly Aryza Subroto, Athor Suharyanto Syafrida, Yuni Tampubolon, Jusra Taufiqurrahman Taufiqurrahman Teguh Dartanto Teguh Sarry Hartono, Teguh Sarry Tri Hastuti Umanto, Umanto Utami, Diah Setia Utami, Septiana Dwi Variani, Joanna Rika Virginia, Tesalonika Widiantari, Aninda Dinar Wijang Widhiarso Wijaya, Surya Oto Wirya, Wirya Yonata Laia Yunita, Risna Zakir Machmud, T.M.