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Evaluasi Penerimaan Pengguna Generasi Z Terhadap DAMRI Apps Menggunakan Model UTAUT
No full textIn the transportation sector, information technology has encouraged the creation of more efficient, safe, and convenient services. One manifestation of this is the development of DAMRI Apps by Perum DAMRI, which makes it easier for users to plan trips, view schedules, book tickets, and make payments digitally. This thesis evaluates the acceptance of DAMRI Apps using the UTAUT model which will provide an in-depth understanding of what factors influence the adoption of technology by users. The analysis was conducted using the PLS-SEM method with the help of SmartPLS 3 software. The sample consisted of 415 respondents from among Generation Z in Indonesia. The results of this study indicate that most of the independent variables in the UTAUT model have a positive and significant effect on Trust, which in turn has an impact on the Purchase Decision. In addition, mediation analysis reinforces the finding that Trust plays an important role as a mediator. In particular, the effect of Effort Expectancy, Social Influence, and Facilitating Conditions variables on Purchase Decision is indirect and only significant when mediated by Trust. Purchase Decision is shown to have a significant influence on User Satisfaction, and User Satisfaction has a very strong effect on Repurchase Intention. These findings indicate that user trust is key to increasing Generation Z's acceptance and loyalty
Pengaruh Kepemilikan Institusional Dan Kepemilikan Manajerial Terhadap Laporan Keberlanjutan Dengan Manajemen Laba Sebagai Variabel Intervening (Studi Pada Perusahaan Kategori Energi Yang Terdaftar Di BEI Tahun 2021-2023)
No full textThis study aims to examine and analyze the effect of institutional ownership and managerial ownership on corporate sustainability reporting, with earnings management as a mediating variable. Specifically, the research investigates the direct relationship between ownership structure and sustainability reporting, as well as the indirect effect through earnings management practices. The study is motivated by the importance of sustainability as a long-term corporate strategy and the significant role of ownership structure in determining the quality and transparency of sustainability disclosures.
The research employs a quantitative approach with data analysis conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM) via the SmartPLS software. The evaluation process consists of two stages: the outer model analysis to assess construct validity and reliability, and the inner model analysis to test the structural relationships among latent variables. In addition, hypothesis testing is performed using the bootstrapping method to identify the significance of both direct and indirect effects between variables.
The results indicate that institutional ownership does not have a direct effect on sustainability reporting but has a positive influence on earnings management, which in turn positively affects sustainability reporting—though the mediating effect is only marginally significant. On the other hand, managerial ownership has a negative effect on sustainability reporting and a positive effect on earnings management, with the mediating role of earnings management also approaching significance. These findings support Agency Theory, suggesting that conflicts of interest between owners and managers can drive earnings manipulation, which ultimately influences sustainability reporting strategies. In this context, sustainability reports may not fully reflect ethical commitments but can serve as strategic tools to shape shareholder perceptions.
Keywords: Institutional Ownership, Managerial Ownership, Sustainability
Reporting, Earnings Management
PENERAPAN METODE DEMPSTER SHAFER SISTEM PAKAR UNTUK MENDIAGNOSA KERUSAKAN MESIN MOTOR INJEKSI
No full textFuel-injected motorcycles require accurate fault diagnosis; however, the process often depends heavily on the expertise of mechanics. This study aims to develop a web-based expert system to assist in diagnosing engine failures in fuel-injected motorcycles using the Dempster-Shafer method, which is designed to logically handle uncertainty in information. The system was developed using the Waterfall model and tested through black-box testing and accuracy evaluation based on 16 cases submitted by 10 mechanics. The test results indicate that the system functions as intended and achieves a diagnostic accuracy rate of 93.75% compared to expert diagnoses. These findings suggest that the expert system can serve as a valid support tool for diagnosing engine failures based on identified symptom data
Analisis Efektivitas Penggunaan Alat Berat Excavator Berbasis Hours Meter (HM) Menggunakan Metode Overall Equipment Effectivenes (OEE) Dan Six Big Losses Di PT. Uniteda Arkato Site Banyuwangi
No full textPT. Uniteda Arkato is a company engaged in heavy equipment rental and contractors. The problem of suboptimal unit performance occurs in one of the excavators owned by the company, namely the Komatsu PC 300 Bucket Excavator. This study aims to identify the effectiveness of excavator use and minimize losses during the production process. The methods used in this study are Overall Equipment Effectiveness (OEE) and Six Big Losses. The results showed that the OEE Excavator was still below world standards, which was 77% with an Availability value of 88%, Performance Efficiency of 93%, and Rate of Quality of 94%. Furthermore, based on the Six Big Losses analysis, the largest losses occurred due to the Reduce Speed Losses factor, which was 34%, which was caused by large downtime. Several recommendations for improvement were proposed to improve unit effectiveness such as setting maintenance schedules, inspections and component replacements, and operator training. This study is expected to contribute to improving the effectiveness of unit use and company productivity
Analisis Daya Saing Komoditas Kopi Indonesia Terhadap Negara Kompetitor di Pasar Amerika Serikat
No full textCoffee is one of Indonesia's main plantation commodities with high export value. As the world's leading coffee producer, Indonesia actively exports coffee as part of its national economic strategy. This study aims to analyze the competitiveness and performance of Indonesian coffee exports in the United States market by comparing them with competing countries, namely Brazil, Canada, Italy, and Ethiopia. The methods used in this study are Revealed Comparative Advantage (RCA) and Constant Market Share (CMS). The data analyzed includes global export growth, coffee export value, and total commodity export value from Indonesia and competitor countries during the 2011-2022 period. The results of the study show that although Indonesian coffee has a comparative advantage over Canada and Italy, its competitiveness is still lower than that of Brazil and Ethiopia. In addition, the performance of Indonesian coffee exports to the United States is still relatively weak, with average growth that is below the average world export growth
Pengaruh Influencer Marketing dan Online Customer Review Terhadap Keputusan Pembelian Produk Bromen Pada Aplikasi Tiktok di Surabaya
No full textThis study aims to examine the influence of influencer marketing and online customer reviews on consumer purchase decisions of Bromen men’s skincare products on the TikTok platform in Surabaya. The background of this research stems from the increasing use of social media in Indonesia and the emerging trend of online shopping, where Bromen has gained visibility but exhibits fluctuating sales performance.
The study adopts a quantitative approach with purposive sampling, involving 84 respondents who are TikTok users domiciled in Surabaya and have purchased Bromen products. Data were collected through an online questionnaire and analyzed using SmartPLS 4.0.
The results show that online customer reviews and influencer marketing both have a major and favorable impact on purchasing decisions.. Influencer credibility, expertise, and attractiveness play a key role in shaping consumers’ evaluation of alternatives. Furthermore, review credibility, argument quality, and review volume also contribute to consumers’ trust and final decision-making. These results align with Kotler and Keller’s (2019) consumer behavior theory and validate the TEARS model in influencer effectiveness. This research implies that digital marketing strategies should integrate both influential figures and authentic consumer-generated content to strengthen brand trust and drive conversions on social platforms
Perbandingan Kesuburan Hutan Mangrove Wonorejo Dan Gunung Anyar Dengan Data Citra Landsat 8
No full textSurabaya has two mangrove forests that are protected and maintained by the Surabaya government, namely the Wonorejo mangrove forest and the Gunung Anyar mangrove forest. The use of mangrove trees themselves is to ward off waves from the sea to the edge of the mainland. The Wonorejo mangrove forest and the Gunung Anyar mangrove forest are also used as tourist attractions for residents around Surabaya. The fertility of these two forests can be used as research materials for the needs of science and technology. One of the technologies used is remote sensing technology with Landsat 8 satellite imagery. The purpose of this study is to analyze the fertility of Mangrove Trees through the calculation approach of the greenness index value (NDVI). The results of the analysis show that the diameter of mangrove trees in the Wonorejo mangrove forest is 77 cm and for the Gunung Anyar mangrove forest is 71 cm. And for the calculation of the greenness index value (NDVI) for the Wonorejo mangrove forest is -0.236149568 while the NDVI value of the Gunung Anyar mangrove forest is -0.20926 Based on the Classification, it is concluded that both forests have very low density
Analisis Potensi Ekonomi Sektor Pertanian, Kehutanan, dan Perikanan di Kabupaten Mojokerto (Tahun 2013-2022)
No full textThis study aims to identify the basic and non-basic sub-sectors, to know the dynamics of sub-sector movements in the 9 years, to know the sub-sector growth pattern, and to know the shift pattern of the agriculture, forestry, and fisheries sub sectors in Mojokerto Regency. The data used is GRDP data at constant prices of Mojokerto Regency and East Java Province from 2013 to 2022. The research methods used are SLQ (Static Location Quotient), DLQ (Dynamic Location
Quotient), Klassen Typology, and Shift Share. The SLQ results show that the base sub-sectors are the forestry and logging sub-sectors with an average SLQ value of 1.53, the livestock sub-sector with an average SLQ value of 1.46, and the food crops sub-sector, which has an average SLQ of 1.25. The sub-sectors classified as non base are the horticultural crops sub-sector, the plantation crops sub-sector, the agricultural and hunting services sub-sector, and the fisheries sub-sector. The DLQ results show that the food crop sub-sector is leading, the plantation crop sub-sector and the agricultural and hunting services sub-sector are prospective, the livestock sub-sector and the forestry and logging sub-sector are mainstays, and the horticultural crop sub-sector and the fisheries sub-sector are lagging sub-sectors. The results of the Klassen Typology analysis show that the sub-sectors classified in quadrant I (developed and growing rapidly) are the Food Crops sub-sector and the Forestry and Logging sub-sector. In quadrant II (developed but depressed) is the
fisheries sub-sector. Then those included in quadrant III (advanced but slow growing) are the Estate Crops sub-sector and the Livestock sub-sector. Those included in quadrant IV (lagging) are the Horticultural Crops sub-sector and the Agricultural and Hunting Services sub-sector. In the shift share analysis, the national growth value (NIJ) in the agriculture, forestry, and fisheries sector of the Mojokerto district grew positively, indicating that the sector grew faster than the average sector growth in East Java Province. Sub-sectors that have a positive proportional growth value (MIJ) are the Horticultural Crops sub-sector, Plantation Crops sub-sector, Livestock sub-sector, Agricultural and Hunting Services sub sector, Forestry and Logging sub-sector, and Fisheries sub-sector. The results of the calculation of competitive advantage (CIJ), Mojokerto Regency, have
competitive sub-sectors, including the Food Crops sub-sector, Forestry and Logging sub-sector, and Fisheries sub-sector.
Keywords: Gross Regional Domestic Product, Agriculture, Forestry, and Fisheries Sub-Secto
Pemanfaatan Fonnte dalam Membangun Sistem Informasi Pengiriman Pesan Berbasis Website untuk Optimalisasi Komunikasi di Bakesbangpol Provinsi Jawa Timur
No full textANALISIS PERFORMANSI MODEL VGG-16 DAN VGG-16-ELM BERDASARKAN VARIASI UKURAN INPUT CITRA DAN BALANCING DATA UNTUK KLASIFIKASI PNEUMONIA
No full textPneumonia is a lung disease that can be detected through chest X-ray images. This study aims to improve the accuracy and efficiency of automatic diagnosis by analyzing the performance of two deep learning models, namely VGG
16 and the combination of VGG-16 with Extreme Learning Machine (ELM), in pneumonia classification. The focus of the research is on analyzing the effect of variations in input image sizes (150×150, 200×200, 224×224, 256×256, and 300×300 pixels) and applying data balancing techniques using Random Over Sampling (ROS). The dataset used consists of 5,856 X-ray images divided into two classes: NORMAL and PNEUMONIA. The preprocessing stages include resizing,
normalization, data splitting, and augmentation. Performance evaluation is conducted using accuracy, precision, recall, and F1-score metrics. The research results show that an input size of 200×200 yields the best results across all scenarios. The VGG-16 model without ROS achieved the highest accuracy of
96.59% and an F1-score of 97.69%. Meanwhile, the VGG-16-ELM combination demonstrated improved performance when ROS was applied. These findings emphasize that model architecture, data balancing techniques, and image input size
play a crucial role in classification accuracy and can support the development of artificial intelligence-based pneumonia diagnostic systems.
Keywords : Pneumonia, VGG-16, Extreme Learning Machine, Random Over Sampling, Image Classification, Deep Learning