Universitas Atma Jaya Makassar

This study examines the effect of Functional Value on Purchase Intention with Digital Content Marketing as a mediating factor in the residential property market of South Tangerang. As digital platforms increasingly shape consumer evaluation processes, the interaction between perceived functional benefits and digital content becomes crucial in influencing purchase decisions. Using a quantitative approach and Partial Least Squares Structural Equation Modeling (PLS-SEM), this study analyzes data collected through structured questionnaires. The findings show that Functional Value significantly enhances both Digital Content Marketing and Purchase Intention. Digital Content Marketing also has a significant positive effect on Purchase Intention and partially mediates the relationship between Functional Value and Purchase Intention. These results indicate that while functional attributes remain fundamental drivers of purchase intention, their impact is amplified when communicated through engaging and informative digital content. The study underscores the importance for property developers and marketers to integrate strong functional features with effective digital communication strategies to optimize consumer engagement and strengthen purchasing outcomes.

The Indonesian archipelago is host to some of the earliest known rock art in the world1-5. Previously, secure Pleistocene dates were reported for figurative cave art and stencils of human hands in two areas in Indonesia-the Maros-Pangkep karsts in the southwestern peninsula of the island of Sulawesi1,3-5 and the Sangkulirang-Mangkalihat region of eastern Kalimantan, Borneo2. Here we describe a series of early dated rock art motifs from the southeastern portion of Sulawesi. Among this assemblage of Pleistocene (and possibly more recent) motifs, laser-ablation U-series (LA-U-series) dating of calcite overlying a hand stencil from Liang Metanduno on Muna Island yielded a U-series date of 71.6 ± 3.8 thousand yearsago (ka), providing a minimum-age constraint of 67.8 ka for the underlying motif. The Muna minimum (67.8 ± 3.8 ka) exceeds the published minimum for rock art in Maros-Pangkep by 16.6 thousand years (kyr) (ref. 5) and is 1.1 kyr greater than the published minimum for a hand stencil from Spain attributed to Neanderthals6, which until now represented the oldest demonstrated minimum-age constraint for cave art worldwide. Moreover, the presence of this extremely old art in Sulawesi suggests that the initial peopling of Sahul about 65ka7 involved maritime journeys between Borneo and Papua, a region that remains poorly explored from an archaeological perspective.

This study aims to develop an efficient system for detecting retinal diseases from fundus eye images by applying Deep Learning with Convolutional Neural Networks (CNN). The proposed model is designed to assist ophthalmologists in making accurate and timely diagnoses, enabling appropriate treatment and improving patient outcomes. The research emphasizes the role of CNN-based Deep Learning as a reliable method for classifying retinal disorders. A quantitative approach was employed, utilizing numerical and descriptive data such as images, observations, and secondary sources. The research procedure covered several stages: image preprocessing, CNN model design, training, validation, evaluation, and system testing. The experimental results demonstrated that the developed system achieved an accuracy of 97%. Evaluation metrics confirmed high performance with classification results as follows: Myopia (precision 1.00, recall 1.00, f1-score 1.00), Cataract (precision 0.88, recall 1.00, f1-score 0.93), Diabetic Retinopathy (precision 1.00, recall 1.00, f1-score 1.00), and Glaucoma (precision 1.00, recall 0.95, f1-score 0.97). These findings show that the CNN architecture with VGG16 demonstrates excellent capability in detecting and classifying retinal diseases using fundus images. Therefore, the model can be recommended as a practical tool for early detection of retinal disorders, particularly within the context of healthcare services in Kendari City, Southeast Sulawesi.

This study examines the development of a Visual Question Answering (VQA) system to extract information from images of Makassar culinary specialties by combining the Vision Transformer (ViT) and Cahya_GPT-2 models. The main objective is to integrate visual and natural language understanding so that computers can recognize visual objects (food images) and generate relevant text descriptions. The research method uses an experimental approach with a fine-tuning process of the pre-trained ViT model as a visual encoder and Cahya_GPT-2 as a text decoder. The dataset used includes images of Makassar culinary specialties such as Coto, Konro, Pisang Epe, Barongko, and Jalangkote with question and answer (QnA) annotations. Evaluation is carried out using the ROUGE metric to assess the semantic match between the model's answers and the actual answers. The results show that the developed multimodal model is able to accurately understand the image context with an average ROUGE-L score of 0.63, indicating a good level of closeness between the model's answers and the annotations. In conclusion, the combination of ViT and Cahya_GPT-2 can be an effective approach for natural language-based visual information extraction systems, especially in the Indonesian local culinary domain

The purpose of this study is to find out how employees of Bank Tabungan Negara (BTN) KC Bekasi view work rotation and how their views and experiences are influenced by their competencies. This study conducted in-depth interviews with employees to find out the dynamics of work rotation and its impact on organizational performance as well as career growth. A qualitative approach is used to collect data. The results of the study show that most employees support work rotation. Customers' production and service increased as a result of their improved skills in performing banking actions. Some participants said that although they initially felt uncomfortable with the change in work environment, eventually they were able to adapt and feel more comfortable in a new place. In addition, this study emphasizes how important it is to create a work rotation policy that suits the needs of Employees to improve the overall performance of the company. The results of this study are expected to make a significant contribution to the advancement of human resource management theory and practice, especially in terms of work rotation in the Indonesian banking industry, where much research on this subject has not been carried out. Thus, this research not only builds on previous research, but also provides practical knowledge on how management can create policies that better suit employee needs.

Penelitian ini bertujuan untuk menganalisis secara mendalam peran kesiapan infrastruktur jaringan komputer di SMPN 19 Bulukumba dalam mendukung implementasi pembelajaran digital secra efektif. Penelitian ini menggunakan pendekatan kualitatif deskriptif untuk menggambarkan secara mendalam kesiapan infrastruktur jaringan komputer dalam mendukung pembelajaran digitaldi SMPN 19 kajang Bulukumba. Data dikumpulkan melali wawancara mendalam, observasi langsung dan dokumentasi , kemudian dianalisis menggunakan model nteraktif miles dan Hubermandan di uji melalui validitasnya melalui triangulasi dan pengecekan anggota.Penelitian ini dilakukan selama 2 bulan (April-mei 2025)dengan tetap menjaga etika , termasuk persetujuan sekolahdan kerahasiaan informan

Environmental drainage infrastructure plays a vital role in reducing flood risks, particularly in urban areas experiencing rapid population growth and increasing runoff pressure. However, drainage systems in many residential environments remain inadequate due to limited maintenance, land-use changes, and insufficient community involvement. This study aims to analyze how community empowerment and the use of appropriate technology contribute to improving environmental drainage infrastructure. Specifically, it examines the forms of active community participation, the most suitable low-cost and adaptive technologies for residential drainage improvement, and the key factors that support the integration of both approaches for sustainability. This research uses a qualitative literature study method by systematically reviewing scholarly articles, policy documents, and empirical studies related to community-based drainage management. Data were collected through document analysis and analyzed using qualitative content analysis to identify major themes connected to participation, appropriate technology, and community-based environmental management. The results show that community participation significantly enhances drainage performance through routine maintenance, participatory planning, and monitoring activities. Meanwhile, appropriate technologies such as biopores, infiltration wells, permeable pavements, and vegetated swales provide effective, low-cost, and environmentally friendly solutions that can be adopted and maintained by local communities. The synergy between empowerment and technology generates long-term sustainability by strengthening local ownership, improving environmental awareness, and ensuring continuous system functionality. The findings highlight the potential of integrating social and technological strategies to build resilient, adaptive, and community-driven drainage systems.

Penelitian ini bertujuan untuk menganalisis pengaruh kesadaran merek dan identitas produk terhadap loyalitas pelanggan, dengan kepercayaan merek sebagai variabel mediasi, pada pelanggan Starbucks Generasi Z di Tangerang Selatan. Latar belakang penelitian ini didasarkan pada tingginya persaingan di industri kopi, serta perubahan perilaku konsumen muda yang lebih menekankan pada nilai emosional dan pengalaman merek. Menggunakan pendekatan kuantitatif dan metode analisis Partial Least Squares Structural Equation Modeling (PLS-SEM), data dikumpulkan dari 120 responden Generasi Z yang merupakan pelanggan aktif Starbucks. Hasil penelitian menunjukkan bahwa kesadaran merek berpengaruh langsung dan signifikan terhadap loyalitas pelanggan dan kepercayaan merek. Identitas produk berpengaruh signifikan terhadap kepercayaan merek, namun tidak memiliki pengaruh langsung terhadap loyalitas pelanggan. Kepercayaan merek terbukti memediasi hubungan antara kedua variabel independen dan loyalitas pelanggan. Temuan ini menegaskan pentingnya strategi merek yang tidak hanya membangun kesadaran dan identitas, tetapi juga memperkuat kepercayaan konsumen sebagai fondasi dalam membangun loyalitas jangka panjang.

This research analyzes the distribution of public transport services from AKDP and AKDK units in 40 sub-districts in Bogor Regency, an area with rapid population growth that faces congestion due to dependence on private vehicles. The main problem is that service gaps have not been mapped quantitatively, so the aim of this research is to apply clustering techniques to identify underserved areas and provide an objective basis for data-based policy recommendations. The proposed method is a quantitative approach using the K-Means Clustering algorithm on secondary datasets from the Department of Transportation with three main features: number of licensed fleets, number of unlicensed fleets, and total fleet. The main findings succeeded in classifying sub-districts into three clusters, Cluster 0 (established services), Cluster 1 (static growth), and Cluster 2 (significant service gaps dominated by informal fleets). In conclusion, this research proves the existence of significant service disparities, and shows that the clustering method is effective in mapping priority zones for more equitable transportation policy interventions.

Penelitian ini bertujuan untuk menganalisis pengaruh emotional branding dan ulasan konsumen di media sosial terhadap minat beli produk food and beverage (F&B) lokal, dengan studi kasus pada merek Menantea. Dalam era digital dan persaingan industri F&B yang semakin kompetitif, keterikatan emosional serta persepsi yang dibentuk melalui ulasan konsumen menjadi faktor kunci dalam memengaruhi keputusan pembelian. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik survei daring kepada responden berusia 12–40 tahun di Tangerang Selatan yang aktif di media sosial dan pernah terpapar konten Menantea. Analisis data dilakukan menggunakan regresi linear berganda untuk menguji pengaruh langsung dan tidak langsung melalui kepuasan pelanggan sebagai variabel mediasi. Hasil penelitian diharapkan dapat menjadi acuan bagi pelaku usaha F&B lokal dalam merancang strategi pemasaran yang lebih efektif, dengan mengoptimalkan elemen emosional dan kekuatan ulasan konsumen dalam meningkatkan minat beli.