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PENGARUH KUALITAS LAYANAN, CITRA MEREK, KEWAJARAN HARGA TERHADAP KEPUASAN PELANGGAN DAN LOYALITAS PELANGGAN TOKO DOKTER KOMPUTER
Jurnal Manajemen Sosial Ekonomi
Vol 5
, No 1
(2025)
This study aims to examine the impact of service quality, brand image, and price fairness on customer satisfaction and loyalty at Dokter Komputer Store in Semarang. Using a quantitative approach, data were collected through questionnaires from 195 respondents selected via purposive sampling. The analysis, conducted using the SEM method with SmartPLS, revealed that these three factors positively and significantly influence customer satisfaction, which in turn has a direct impact on customer loyal...
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Improving Cognitive Development in Recognizing Number Symbols Through Number Fishing Games in Class A TK Pertiwi 01 Jetis Jaten Karanganyar
JURNAL AUDI: Jurnal Ilmiah Kajian Ilmu Anak dan Media Informasi PAUD
Vol 10
, No 1
(2025)
YULIANA NUR'AINI. IMPROVING COGNITIVE DEVELOPMENT IN KNOWLEDGE OF NUMBER SYMBOLS THROUGH NUMBERS FISHING GAMES IN CLASS A TK PERTIWI 01 JETIS DISTRICT JATEN, KARANGANYAR DISTRICT IN ACADEMIC YEAR 2022/2023. Thesis. Surakarta. Faculty of Teacher Training and Education, Slamet Riyadi University, Surakarta. July 2023This study aims to find out how to improve cognitive development in recognizing number symbols through a number fishing game in class A Kindergarten Pertiwi 01 Jetis. This study uses a...
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Implementasi Pengelolaan Dana Program BEASISWA TANGERANG CERDAS Tahun 2023 Untuk Meningkatkan Pemerataan Akses dan Mutu Pendidikan di Kota Tangerang
Jurnal Media Administrasi
Vol 10
, No 1
(2025)
This research entitled “Implementation of the Tangerang Smart Scholarship Program Fund Management Year 2023”. The objectives are the effectiveness of fund management and the impact of the of the scholarship program on access and quality of education for students from underprivileged families underprivileged families. The method used is a qualitative approach with data collection through interviews, observation, and literature study. Participants.Participants included the Education Office, Social...
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Implementasi Good Governance dalam Pengelolaan Pelayanan Keimigrasian di Indonesia
Jurnal Media Administrasi
Vol 10
, No 1
(2025)
This study aims to analyze the reform of Indonesia’s immigration policy in the era of globalization and to compare it with the immigration policies of other ASEAN countries, such as Malaysia, Singapore, and Thailand. The research uses a literature review method by analyzing current regulations, international reports, and academic publications. The findings indicate that Indonesia has made significant reforms through immigration service digitalization, the implementation of e-visas, and a human r...
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Implementation of the K-Nearest Neighbor (KNN) Algorithm in Handwritten Digit Pattern Recognition Using the Zoning Method
asmaraloka, afilda maharani
; Asmaraloka, Afilda Maharani
; Nisa, Kharisatun
; Hermansyah, Muhammad Ardi
; Saputra, Fikri Hamdhan Dwi
; Setiawan, Arif
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through seve...
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KAPITALISME SEBAGAI SEBUAH RISIKO DALAM PEMBANGUNAN IKN
Jurnal Manajemen Sosial Ekonomi
Vol 4
, No 2
(2025)
This research explores the impact of relocating the capital city (IKN) in Indonesia. Government regulations provide facilities for investors, while global risks, according to Ulrich Beck's concept, continue to evolve in the context of modern society. The history of capital relocation is traced from colonial times to the present, with a focus on security reasons. This study employs a literature review method to gather and analyze data from various sources such as articles, books, and journals. Th...
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PENGARUH TURBO MARKETING TERHADAP KEPUTUSAN PENGGUNAAN GRAB FOOD DI KOTA BIMA
Jurnal Manajemen Sosial Ekonomi
Vol 4
, No 2
(2025)
Dalam Keputusan Penggunaan, Turbo Marketing menjadi sebuah alasan utama dalam menetukan keputusan untuk menggunakan suatu layananan, Tujuan penelitian ini untuk mengetahui pengaruh Turbo Marketing terhadap keputusan Penggunaan Grab food di kota bima, Jenis penelitian yaitu Asosiatif, Instrumen penelitian menggunakan kuesioner dengan skala likert. Populasi yang digunakan dalam penelitian ini yaitu seluruh konsumen yang pernah mengunakan layanan grab food yang jumlahnya tidak dik...
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Penerapan Algoritma Klasifikasi untuk Deteksi Dini Penyakit Jantung Koroner Berdasarkan Gejala Klinis
Teknik: Jurnal Ilmu Teknik dan Informatika
Vol 5
, No 1
(2025)
Coronary heart disease (CHD) remains a leading cause of mortality worldwide. Early detection is essential to reduce complications and improve patient outcomes. This study aims to develop a classification model using machine learning algorithms to predict CHD risk based on clinical symptoms. The dataset used is the Cleveland Heart Disease dataset from the UCI Machine Learning Repository, consisting of 303 patient records with 14 clinical features. The preprocessing stage involved handling missing...
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KNN-Based Handwritten Digit Classification with Accuracy Analysis and Visualization
Maulana, Muhammad Rizky
; Maulana, Muhammad Rizky
; Nugroho, Adiv Prasetyo
; Adinata, Ferdyan Candra
; Haidar, Nova Briyan
; Setiawan, Arif
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten dig...
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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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