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The Cuckoo Optimization Algorithm Enhanced Visualization of Morphological Features of Diabetic Retinopathy Dafwen Toresa; Fana Wiza; Ahmad Ade Irwanda; Wenti Sasparita Abiyus; Edriyansyah Edriyansyah; Taslim Taslim
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v4i2.1978

Abstract

This research compares strategies for identifying diabetic retinopathy (DR) using fundus image and discusses the efficiency of various image pre-processing techniques to enhance the quality of fundus images. Fundus images in medical image processing often suffer from non-uniform lighting, low contrast, and noise issues, which necessitate image pre-processing to enhance their quality. The study evaluates the effectiveness of several optimization techniques in selecting the best technique for identifying DR. One of the image pre-processing techniques compared in the study involves comparing negative images, dark contrast stretch, light contrast stretch, and partial contrast stretch, which are then evaluated using standard performance metrics such as NIQE, PNSR, MSE, and entropy. The results are further optimized using the Cuckoo Search Algorithm. The proposed technique produces better image quality improvements in several performance metrics, such as MSE, NIQE, PSNR, and entropy. Bright Contrast Stretch outperforms other techniques in NIQE Mean 5.2850, Entropy 5.0193, NIQE Standard deviation 0.2261, and Entropy 0.2612.
MEMBANGUN DAYA SAING PERGURUAN TINGGI SWASTA MELALUI MARKETING MIX: KAJIAN EMPIRIS PADA UNIVERSITAS LANCANG KUNING Ahmad Ade Irwanda; Wentisasrapita Abiyus; Richa Afriana Munthe
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3032

Abstract

Abstract: This study aims to evaluate how the marketing mix elements (7Ps) influence prospective students' decision to choose Lancang Kuning University. The analysis focuses on seven main dimensions: Product (study program quality), Price (tuition fees), Place (campus location), Promotion (promotional efforts), People (quality of lecturers and administration), Process (learning procedures), and Physical Evidence (infrastructure facilities). Quantitative methods are used in this research study by collecting data through questionnaires distributed to 192 new students at the Faculty of Economics and Business (FEB). This resulted in data being tested using a variety of statistical tests, including validity tests, reliability tests, classical assumption testing, multiple linear regression, and testing with the F-test and T-test using SPSS software. The results show that overall the seven dimensions have a significant influence simultaneously (Adjusted R² = 62.5%). However, partial analysis reveals that only Price, Promotion, and Process have significance. The main determinants include affordable tuition fees, effective promotion, and simple administrative processes. This research contributes to the development of marketing strategies for private universities in Indonesia by emphasizing the importance of prioritizing the aspects of cost, targeted promotion, and efficiency of academic processes to strengthen the competitiveness of the institution.  Keyword: marketing mix; higher education; student decision making Abstrak: Penelitian ini bertujuan untuk mengevaluasi bagaimana elemen-elemen marketing mix (7P) memengaruhi keputusan calon mahasiswa dalam memilih Universitas Lancang Kuning. Analisis berfokus pada tujuh dimensi utama: Produk (kualitas program studi), Harga (biaya kuliah), Tempat (letak kampus), Promosi (upaya promosi), Orang (kualitas dosen dan tata usaha), Proses (prosedur pembelajaran), dan Bukti Fisik (sarana prasarana). Metode kuantitatif digunakan pada kajian riset ini dengan mengumpulkan data melalui angket yang dibagikan pada 192 mahasiswa baru di Fakultas Ekonomi dan Bisnis (FEB). Sehingga diperoleh data yang diuji menggunakan beragam uji statistik, termasuk uji validitas, uji reliabilitas, pengujian asumsi klasik, regresi linier berganda, serta pengujian dengan uji F dan uji T menggunakan perangkat lunak SPSS. Hasil menunjukkan bahwa secara keseluruhan ketujuh dimensi tersebut memiliki pengaruh signifikan secara simultan (Adjusted R² = 62,5%). Namun, analisis parsial mengungkapkan bahwa hanya Price, Promotion, dan Process yang memiliki signifikansi. Faktor penentu utama meliputi biaya pendidikan yang terjangkau, promosi yang efektif, dan proses administrasi yang sederhana. Penelitian ini berkontribusi terhadap penyusunan strategi pemasaran untuk kampus swasta di Indonesia dengan menekankan pentingnya prioritas pada aspek biaya, promosi yang terarah, serta efisiensi proses akademik untuk memperkuat daya saing institusi. Kata kunci: marketing mix; pendidikan tinggi; keputusan mahasiswa;
KUALITAS LAYANAN SEBAGAI MEDIASI KUALITAS SISTEM DAN KUALITAS INFORMASI TERHADAP KEPUASAN PENGGUNA SISTEM AFILIATE PADA PENERIMAAN MAHASISWA BARU UNIVERSITAS LANCANG KUNING Tutut Setiarini; Junaidi Junaidi; Zulia Khairani; Ahmad Ade Irwanda; Fitri Juliani
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3964

Abstract

Abstract: This study aims to examine the impact of system quality and information quality on user satisfaction of the Affiliate System in New Student Admissions at Lancang Kuning University, by considering service quality as a mediating variable. The research methodology used is a survey, by collecting questionnaires from 155 respondents. Sampling was carried out using the Proportional Random Sampling method based on certain characteristics such as PMB Admin, Finance, Promotional Media, staff, students, and the general public who use the UNILAK PMB Affiliate system. The data obtained were analyzed using the Partial Least Square (PLS) method. The results of the study indicate that system quality does not have a significant direct influence on user satisfaction of the UNILAK PMB affiliate system. However, indirectly, system quality through service quality as a mediating variable has a significant influence on user satisfaction of the UNILAK PMB affiliate system. This finding confirms the importance of improving service quality in the PMB affiliate system in order to optimize the benefits of system quality and the quality of information available. Keyword: System Quality, Information Quality, Service Quality, User Satisfaction Abstrak: Penelitian ini bertujuan untuk mengkaji dampak kualitas sistem dan kualitas informasi terhadap kepuasan pengguna Sistem Afiliate pada Penerimaan Mahasiswa Baru Universitas Lancang Kuning, dengan mempertimbangkan kualitas layanan sebagai variabel mediasi. Metodologi penelitian yang digunakan adalah survei, dengan mengumpulkan kuesioner dari 155 responden. Pengambilan sampel dilakukan melalui metode Proportional Random Sampling berdasarkan karakteristik tertentu seperti Admin PMB, Keuangan, Media Promosi, staf, mahasiswa, dan masyarakat umum yang menggunakan sistem Afiliate PMB UNILAK. Data yang diperoleh dianalisis menggunakan metode Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa kualitas sistem tidak memiliki pengaruh signifikan langsung terhadap kepuasan pengguna sistem affiliate PMB UNILAK. Namun, secara tidak langsung, kualitas sistem melalui kualitas layanan sebagai variabel mediasi memiliki pengaruh signifikan terhadap kepuasan pengguna sistem affiliate PMB UNILAK. Temuan ini menegaskan pentingnya peningkatan kualitas layanan dalam sistem afiliasi PMB agar dapat mengoptimalkan manfaat dari kualitas sistem dan kualitas informasi yang tersedia. Kata kunci: Kualitas Sistem, Kualitas Informasi, Kualitas Layanan, Kepuasan Pengguna
OPTIMALISASI STRATEGI PENERIMAAN MAHASISWA BARU MELALUI METODE REGRESI LINEAR Fitri Juliani; Ahmad Ade Irwanda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4502

Abstract

New Student Admissions (PMB) is a strategic activity that plays an important role in determining the growth, sustainability, and competitiveness of a university. Lancang Kuning University (UNILAK) as one of the private universities in Riau Province faces the challenge of maintaining the stability of the number of applicants while increasing the effectiveness of its student admission strategy. This study aims to optimize the PMB strategy by applying a simple linear regression method to predict the number of new students based on historical admission data for the last five years, namely the period 2020/2021 to 2024/2025. The data used consists of the variables of the number of applicants (X) and the number of new students accepted (Y). The analysis results show a regression model of Y=509.94+0.716X with a correlation coefficient (r) of 0.91 and a coefficient of determination (R²) of 0.83, indicating a very strong positive relationship between the two variables. This model was used to predict the number of new students for the next three years, namely 2.561 students in 2025/2026, 2.609 students in 2026/2027, and 2.666 students in 2027/2028. These results show a stable increase of around two percent per year. Thus, the application of the simple linear regression method has proven to be effective in supporting data-based planning and strategic decision-making at Lancang Kuning University.