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All Journal Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer J-CEKI JITCoS : Journal of Information Technology and Computer System
Tia Ramadani
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Social Sciences

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Pengenalan Objek pada Citra Digital Menggunakan Metode Template Matching Tia Ramadani; Lailan Sofinah Harahap; Rika Khairani
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 3 (2025): Juni : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i3.826

Abstract

Object detection in digital images is a crucial aspect of image processing and computer vision, with applications ranging from surveillance systems and robotics to image-based search. One commonly used approach is template matching, a technique that compares a template image with sections of the target image to identify similar patterns. This study explores the implementation of the template matching method for object recognition in digital images. The process begins with image preprocessing to enhance data quality, followed by a matching procedure using normalized cross-correlation. Experimental results indicate that this method can accurately detect objects under stable lighting and scale conditions. However, its performance decreases when images undergo rotation or scale variations. Therefore, while template matching proves effective under ideal conditions, further methodological development is needed to improve its robustness against geometric transformations.s
Pengaruh Gaya Hidup Komsutif Mahasiswa Unimed Program Studi Statistika 2024 Dalam Penggunaan Skincare Tia Ramadani; Aulia Putri Br. Manurung; Risa Rozzaqi Rambe; Cahaya Destia Regar; Putri Maulidina Fadilah; Sudianto Manullang
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 6: Oktober 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i6.10313

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh gaya hidup konsumtif terhadap penggunaan skincare pada mahasiswa Program Studi Statistika angkatan 2024 Universitas Negeri Medan. Penggunaan skincare telah menjadi bagian penting dari gaya hidup modern, khususnya di kalangan mahasiswa yang mulai sadar akan pentingnya penampilan. Penelitian ini bertujuan untuk mengetahui pengaruh gaya hidup konsumtif terhadap penggunaan skincare pada mahasiswa Program Studi Statistika angkatan 2024 Universitas Negeri Medan. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik simple random sampling terhadap 68 responden. Instrumen yang digunakan berupa kuesioner skala Likert, dan data dianalisis menggunakan SPSS dengan uji validitas, reliabilitas, linearitas, korelasi Pearson, dan regresi linear sederhana.Hasil penelitian menunjukkan bahwa seluruh item kuesioner valid dan reliabel, dengan nilai Cronbach’s Alpha sebesar 0,916. Uji linearitas menunjukkan hubungan linear yang signifikan antara gaya hidup konsumtif dan penggunaan skincare (F = 99,263; Sig. < 0,001). Uji korelasi Pearson menghasilkan nilai r = 0,775 yang menunjukkan hubungan kuat dan signifikan. Analisis regresi menunjukkan bahwa gaya hidup konsumtif berpengaruh signifikan terhadap penggunaan skincare dengan nilai R² sebesar 0,601, yang berarti 60,1% variasi penggunaan skincare dijelaskan oleh gaya hidup konsumtif.Hasil ini menunjukkan bahwa semakin tinggi gaya hidup konsumtif mahasiswa, maka semakin tinggi pula kecenderungan penggunaan skincare sebagai bagian dari gaya hidup mereka.
Simulation of Budget Allocation for Stunting Reduction Programs in West Aceh Regency using a Linear Regression Model Nurzanah, Laila; Tia Ramadani; Hartomo Ranomiharjo
JITCoS : Journal of Information Technology and Computer System Vol. 1 No. 2 (2025): Volume 1 Number 2, December 2025
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/jitcos.v1i2.63

Abstract

Stunting remains a national priority issue in Indonesia, and West Aceh Regency is one of the regions facing this challenge. The success of stunting reduction programs heavily depends on effective and well-targeted budget allocation. This study aims to develop a budget allocation simulation model for stunting reduction programs in West Aceh Regency using Multiple Linear Regression. Historical program and budget data from the template-data-kabupaten-aceh-barat-stunting.csv dataset were used to train the model. Features such as year, program category (Infrastructure, Empowerment, Health, Other), program name, and a priority score were analyzed to predict the budget amount. The model fitting results show very high performance, with an Adjusted R-squared of 0.989 and an F-statistic of 298.6 (p < 0.001), indicating the model significantly explains the variability in budget allocation. The prioritas (priority) variable was found to be the most statistically significant predictor (p = 0.000). This model was then used to simulate an optimal budget allocation for 2025, with a total recommended budget of IDR 36.50 Billion. The main recommendation focuses on the "Program for Fulfilling Health Efforts" with a simulated allocation of IDR 33.75 Billion. This research demonstrates the potential of predictive modeling as a data-driven decision-making tool for local governments in planning budgets for stunting interventions. Furthermore, this study underscores the critical importance of shifting from historical-based budgeting to evidence-based allocation methods to accelerate national stunting reduction goals effectively.
Co-Authors Aulia Putri Br. Manurung Cahaya Destia Regar Hartomo Ranomiharjo Lailan Sofinah Harahap Manullang, Sudianto Nurzanah, Laila Putri Maulidina Fadilah Rika Khairani Risa Rozzaqi Rambe