Abstract:Emas merupakan salah satu jenis komoditi yang paling banyak diminati untuk tujuan investasi, karena dipandang sebagai instrumen yang lebih aman dibandingkan saham serta memiliki nilai jual yang selalu bergerak mengikuti…
kondisi pasar. PT Victoeria Vici, sebagai pelaku usaha perhiasan emas custom, menghadapi kendala dalam menentukan estimasi harga jual kepada pelanggan, sebab proses pengerjaan pesanan custom membutuhkan waktu hingga 14 hari, sementara harga emas bergerak fluktuatif dan tidak terstruktur setiap harinya sehingga estimasi harga menjadi tidak akurat dan tidak efektif. Berdasarkan permasalahan tersebut, penelitian ini menerapkan konsep Data Mining dengan algoritma Trend Moment untuk mengestimasi harga emas pada rentang waktu tertentu. Data yang digunakan merupakan data historis harga emas per gram pada PT Victoeria Vici periode Agustus–Oktober 2021 sebanyak 92 data. Tahapan penelitian meliputi pengumpulan data, penentuan variabel X dan Y, eliminasi untuk memperoleh nilai konstanta a dan slope b, serta penerapan persamaan Y = a + bX untuk memperoleh nilai estimasi. Hasil perhitungan menunjukkan nilai a = 720.871,725 dan b = 3,108 sehingga model estimasi mampu menghasilkan proyeksi harga emas yang mendekati pola data historis. Model ini kemudian diimplementasikan ke dalam aplikasi berbasis desktop menggunakan Microsoft Visual Basic 2010 dan basis data Microsoft Access, dilengkapi Crystal Report untuk pencetakan laporan hasil estimasi. Hasil penelitian menunjukkan bahwa algoritma Trend Moment dapat membantu PT Victoeria Vici dalam memperoleh estimasi harga emas secara lebih cepat, konsisten, dan terdokumentasi.
Gold is one of the most sought-after commodities for investment purposes, as it is regarded as a safer instrument compared to stocks and has a selling value that constantly fluctuates with market conditions. PT Victoeria Vici, a custom gold jewelry business, faces difficulty in determining the estimated selling price offered to customers because the production process for custom orders takes up to 14 days, while gold prices move in an unstructured and fluctuating manner every day, making manual price estimation inaccurate and ineffective. Based on this problem, this study applies the concept of Data Mining using the Trend Moment algorithm to estimate gold prices over a certain period of time. The data used is historical daily gold price data per gram from PT Victoeria Vici for the period of August–October 2021, consisting of 92 records. The research stages include data collection, determination of the X and Y variables, elimination to obtain the constant value a and the slope b, and the application of the equation Y = a + bX to obtain the estimated value. The calculation results show a value of a = 720,871.725 and b = 3.108, so that the estimation model is able to produce gold price projections that closely follow the pattern of historical data. This model was then implemented into a desktop-based application using Microsoft Visual Basic 2010 and a Microsoft Access database, equipped with Crystal Report for printing estimation result reports. The results show that the Trend Moment algorithm can help PT Victoeria Vici obtain gold price estimations more quickly, consistently, and in a well-documented manner.
Abstract:Promosi penerimaan mahasiswa baru (PMB) merupakan salah satu faktor penting dalam meningkatkan jumlah dan kualitas calon mahasiswa. Namun, strategi promosi yang belum memanfaatkan data historis secara optimal dapat menyebabkan…
babkan kegiatan promosi kurang tepat sasaran. Penelitian ini bertujuan untuk menganalisis data historis PMB sebagai dasar dalam menyusun strategi promosi yang lebih efektif pada Jurusan Teknologi Informasi dan Komputer Politeknik Negeri Lhokseumawe. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan memanfaatkan data sekunder PMB periode 2023–2025. Analisis dilakukan melalui tahapan data cleaning, transformasi data, statistik deskriptif, segmentasi calon mahasiswa, dan visualisasi data menggunakan dashboard analitik. Variabel yang dianalisis meliputi program studi, asal sekolah, jurusan asal sekolah, kecamatan, kabupaten/kota, provinsi, jalur masuk, dan sumber informasi pendaftar. Hasil penelitian menunjukkan bahwa sebagian besar pendaftar berasal dari Provinsi Aceh, khususnya Kabupaten Aceh Utara dan Kota Lhokseumawe, dengan dominasi lulusan jurusan IPA serta peminat terbesar pada Program Studi Teknik Informatika. Instagram dan website menjadi sumber informasi utama bagi calon mahasiswa. Pemanfaatan data historis melalui visualisasi data mampu memberikan informasi yang lebih komprehensif mengenai karakteristik calon mahasiswa sehingga dapat mendukung pengambilan keputusan dalam penyusunan strategi promosi PMB yang lebih terarah, efektif, dan berbasis data.
New student admissions (PMB) promotion is an important factor in increasing the number and quality of prospective students. However, promotional strategies that do not optimally utilize historical data can result in less targeted promotional activities. This study aims to analyze historical PMB data as a basis for developing a more effective promotional strategy in the Information and Computer Technology Department of the Lhokseumawe State Polytechnic. The study uses a descriptive quantitative approach utilizing secondary PMB data for the 2023–2025 period. The analysis was carried out through the stages of data cleaning, data transformation, descriptive statistics, prospective student segmentation, and data visualization using an analytical dashboard. The variables analyzed included study program, school of origin, major of origin of school, sub-district, regency/city, province, admission route, and applicant information sources. The results show that most applicants come from Aceh Province, especially North Aceh Regency and Lhokseumawe City, with a predominance of science graduates and the greatest interest in the Informatics Engineering Study Program. Instagram and websites are the main sources of information for prospective students. The use of historical data through data visualization can provide more comprehensive information regarding the characteristics of prospective students so that it can support decision-making in developing more targeted, effective, and data-based PMB promotion strategies.
Abstract:This study aimed to analyze the effect of brand image and perceived quality on willingness to pay premium for local Micro, Small, and Medium Enterprises (MSME) products. Amid increasingly intense market competition with…
imported goods and national brands, local MSMEs are required to build strong brand image and good perceived quality so that consumers are willing to pay a premium price. A quantitative approach with a causal research design was employed. The study population consisted of consumers who had purchased local MSME products within the past three months in Sukabumi and its surrounding areas. A total of 220 respondents were selected using purposive sampling. Data were collected through questionnaires and analyzed using Structural Equation Modeling (SEM) with AMOS 24 software. The results show that brand image has a positive and significant effect on willingness to pay premium with a coefficient of 0.45 (p<0.01), and perceived quality has a positive and significant effect with a coefficient of 0.39 (p<0.01). Simultaneously, both variables explain 54.2% of the variance in willingness to pay premium. These findings confirm that strengthening brand image and improving consumer-perceived product quality are key strategies for MSME actors to increase the selling value and competitiveness of local products
Abstract:This study aims to examine the influence of tourist attractions, facilities, and accessibility on tourist satisfaction at the Pondok Halimun Tourist Destination, Sukabumi Regency. The research employed a quantitative approach…
roach using a causal associative design. The population consisted of tourists who visited Pondok Halimun between April and July 2025. A total of 95 respondents were selected using accidental sampling techniques. Data were collected through questionnaires measured on a five-point Likert scale and analyzed using multiple linear regression with SPSS software.
The results indicate that tourist attractions, facilities, and accessibility individually have a positive and significant effect on tourist satisfaction. Furthermore, the simultaneous test confirms that these three variables collectively have a strong influence on tourist satisfaction. The coefficient of determination reveals that a substantial proportion of tourist satisfaction can be explained by the combined effects of tourist attractions, facilities, and accessibility. These findings suggest that integrated destination management focusing on attraction quality, adequate facilities, and ease of access is essential to enhance tourist satisfaction and support sustainable tourism development.
Abstract:The primary goal of this study was to quantitatively analyze the contribution of consumptive behavior and lifestyle toward shoe purchasing decisions among students at Universitas Linggabuana PGRI Sukabumi. The analysis consistently…
onsistently showed that both independent variables play a significant role in influencing purchasing choices. Specifically, consumptive behavior was found to have a positive and tangible impact on buying decisions when analyzed individually. Similarly, lifestyle also demonstrated a distinct, positive, and significant contribution. When examined simultaneously (Uji F), these two factors were collectively proven to be significant. The model exhibited strong explanatory power, indicating that the majority of the variation in student purchasing decisions can be effectively attributed to their lifestyle trends and high consumption levels. In conclusion, the findings confirm that both lifestyle and consumptive behavior are central and positive drivers in shaping students' shoe purchasing decisions
Abstract:This study aims to examine the effect of job satisfaction and work motivation on organizational commitment of employees at the Civil Service Police Unit (Satpol PP) of Bogor Regency. The research employed a quantitative…
causal approach with a population of 65 employees working in the Guidance and Inspection Division of Satpol PP Bogor Regency. Data were analyzed using multiple linear regression. The results revealed that, partially, both job satisfaction and work motivation have a significant effect on organizational commitment, as indicated by the t-value being greater than the t-table. Simultaneously, both variables also showed a significant effect with a P Value of 20.706 and Sig. 0.000 < 0.05. The Adjusted R Square value of 0.381 indicates that job satisfaction and work motivation contribute 38.1% to organizational commitment, while the remaining 61.9% is influenced by other factors not examined in this study. The regression equation obtained is Y = 13.869 + 0.271X1 + 0.449X2, which demonstrates a positive influence of both independent variables on organizational commitment. Among the two variables, work motivation was found to be the most dominant factor, with a regression coefficient of 0.449.
Abstract:This study aims to analyze the influence of competence, compensation, and work environment on employee productivity through work motivation as a mediating variable at PT Mitra Tsalasa Jaya, South Tangerang. Employee productivity…
uctivity is a key indicator of a company’s success, which is influenced by individual capabilities, performance rewards, and a supportive work environment. This research employed a quantitative method with a survey approach. Data were collected through questionnaires distributed to 120 respondents, who are permanent employees of PT Mitra Tsalasa Jaya. The data were analyzed using path analysis to examine both direct and indirect relationships among the studied variables. The results showed that competence, compensation, and work environment have a positive and significant effect on work motivation. Furthermore, work motivation has a positive and significant effect on employee productivity. In addition, work motivation significantly mediates the influence of competence, compensation, and work environment on productivity. Therefore, the study concludes that improving employee competence, providing fair and appropriate compensation, and creating a conducive work environment can enhance employee motivation, which ultimately leads to higher productivity at PT Mitra Tsalasa Jaya.
Abstract:This study aims to analyze the influence of Love of Money and Machiavellian traits on the ethical perceptions of accounting students. The independent variables in this study are Love of Money (X1) and Machiavellian traits…
s (X2), while the dependent variable is the ethical perception of accounting students (Y). This study employs a quantitative approach using a survey method. The population of this study consists of accounting students at Universitas Negeri Gorontalo, with a total sample of 32 respondents selected using purposive sampling technique. Data were collected through the distribution of questionnaires via Google Forms and analyzed using descriptive statistical analysis and multiple linear regression with the assistance of SPSS software.The results of the study indicate that partially, Love of Money has a positive and significant effect on the ethical perceptions of accounting students. This suggests that students perceive money as a motivation to achieve success in an ethical manner. Meanwhile, Machiavellian traits have a negative and significant effect on the ethical perceptions of accounting students, indicating that the higher the tendency toward manipulation and self-interest orientation, the lower the level of ethical perception. Simultaneously, Love of Money and Machiavellian traits have a significant effect on the ethical perceptions of accounting students.
Abstract:Passenger movement within aircraft aisles is an essential activity during the flight process, particularly inside narrow-body aircraft where mobility remains restricted. Interactions between passengers frequently trigger…
avoidance behaviors that potentially influence perceptions of safety, security, and comfort during travel. Therefore, this study aims to analyze passenger perceptions of aisle avoidance on Pelita Air flights based on these three specific dimensions. Methodologically, the research utilizes a quantitative descriptive approach involving a five-point Likert scale questionnaire. Data were gathered from 350 respondents who previously utilized Pelita Air flight services. Furthermore, the analysis was conducted by calculating mean values to determine the categorization of respondent perceptions. Findings indicate that all variables fall within the “good” category. Specifically, the mean value for safety reached 4.098, security 4.099, and comfort 4.077. Effectively, these findings demonstrate that the avoidance process in the cabin aisle is perceived as safe, orderly, and sufficiently comfortable despite the limited space for movement. Importantly, this study contributes to the understanding of passenger behavior in confined cabin spaces and becomes valuable input for airlines to enhance the quality of cabin services.
Abstract:The Indonesian telecommunication industry is currently experiencing saturation in the Business-to-Consumer (B2C) market segment, prompting PT Telkom Indonesia (Persero) Tbk to aggressively execute business transformation…
by shifting toward a Business-to-Business (B2B) Digital model to maintain relevance amidst increasingly competitive and dynamic global business competition. This shifting phenomenon demands comprehensive internal readiness, particularly regarding resource orchestration and marketing ambidexterity maturity to balance traditional connectivity business with the exploration of high-value digital service innovation. This research employs a quantitative methodology with descriptive and causal approaches to dissect and objectively measure the level of organizational readiness in facing such market disruptions. Primary data collection was conducted with 385 respondents consisting of employees and strategic stakeholders involved in the transformation process at PT Telkom Indonesia using a nonprobability sampling technique with a purposive sampling method. All collected data were subsequently processed and tested using the SmartPLS version 4 analysis tool to ensure accuracy in modeling the complex relationships between the variables. The data analysis techniques utilized include descriptive statistics to provide a general overview of the data and variance-based Structural Equation Modeling (PLS-SEM) to test the significance of relationships between latent variables within the research model. The research findings project that corporate strategy significantly and positively influences business transformation success and B2B Digital model development, while simultaneously providing a strong direct impact on strengthening the company's competitiveness at the global level. The analysis results also indicate that internal transformation effectiveness and the implementation of B2B digital solutions are primary determinants capable of substantially enhancing the company's ability to compete across borders in the digital platform era. Furthermore, the mediating roles of business transformation and B2B Digital model variables have proven to be crucial in reinforcing the link between corporate strategic orientation and the achievement of sustainable international competitive advantage. Overall, this study provides an empirical foundation regarding the importance of precise resource orchestration for Telkom Indonesia to realize its vision as a preferred digital telco capable of winning competition in international markets.