Tekmapro: Journal of Industrial Engineering and Management
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The Impact of Employee Creativity on Employee Performance Mediated by Innovative Work Behavior Among Millennial Employees in Pasuruan, East Java
No full textThis study aims to examine the effect of employee creativity on employee performance mediated by innovative work behavior in millennial employees in Pasuruan, East Java. Millennials, known for their tendency to be more creative and innovative, face challenges in developing creativity in a workplace that is still strictly structured. This study uses quantitative methods with data collection through questionnaires distributed to millennial employees in various companies in Pasuruan. The results showed that employee creativity has a significant positive effect on employee performance (path coefficient of 1.977, p = 0.048). In addition, employee creativity also has a significant effect on innovative work behavior (path coefficient of 25.523, p = 0.000), which in turn has a significant positive effect on employee performance (path coefficient of 5.629, p = 0.000). Innovative work behavior was shown to mediate the effect of creativity on employee performance (path coefficient of 5.549, p = 0.000). Thus, this study concludes that increasing employee creativity can significantly improve employee performance, and this effect is amplified through innovative work behavior. These results provide practical implications for companies to encourage creativity and innovation in the workplace as a strategy to improve employee performance, especially the millennial generation.
Keywords: Employee Creativity, Employee Performance, Innovative Work Behavio
The Effectiveness and Efficiency of the Mini Vise Manufacturing Process Practicum: A Technical and Non-Technical Perspective on the Practicum
No full textThis study aims to evaluate the effectiveness and efficiency of both technical and non-technical aspects in the mini vise manufacturing process practicum at technical education institutions. Data was collected through questionnaires distributed to 138 respondents, consisting of students who participated in the practicum. The questionnaire measured various technical aspects such as meeting schedules, punctuality, clarity of information, consistency in delivery, and problem-solving, as well as non-technical aspects such as teaching methods, the role of practicum assistants, module content-reports, teaching and learning activities, and learning outcomes.
The results indicate that, in terms of technical aspects, the majority of respondents agreed that meeting schedules (64.1%), clarity of information (68.1%), and problem-solving (77.9%) were carried out effectively, although punctuality still requires improvement, with 39.1% of respondents remaining neutral. Regarding non-technical aspects, teaching methods (81.2%), the quality of practicum assistants (81.9%), and teaching activities (81.2%) received positive assessments from most respondents. However, some areas still need further attention to improve consistency and overall respondent satisfaction.
The main conclusion of this study is that the mini vise manufacturing process practicum has generally been effective and efficient, although there are several aspects that require improvement, particularly in terms of punctuality and consistency in delivery. Recommendations from this study include improving time management, enhancing the clarity of information, and providing further training for practicum assistants
THE EFFECT OF ARTIFICIAL INTELLIGENCE ON LOYALTY INTENTION IN BANKING SERVICES IN INDONESIA
Get PDFThis research was carried out with the aim of testing and analyzing the influence of perceived artificial intelligence on perceived Anthropomorphism, Interaction Quality, Confirmation, the impact of Perceived Anthropomorphism on Interaction Quality, Confirmation, the influence of Interaction Quality on Confirmation and Customer Experience, the influence of Confirmationaffects Customer Experience and the impact of Customer Experience on Loyalty Intention. The type of research used is quantitative research with research hypothesis testing. The sample collection method used purposive sampling with a sample of 218 respondents. The analysis tool used by SEM is using AMOS 23 software. The findings showed that Perceived Artificial Intelligence was proven to have a positive effect on Perceived Anthropomorphism, Confirmation, and Interaction Quality; perceived Anthropomorphism had a positive effect on Interaction Quality but was not proven to have a positive effect on Confirmation, Interaction Quality was proven to have an impact positive for Confirmation but not proven to have a positive effect on Customer Experience. Confirmation has been proven to affect Customer Experience positively, and Customer Experience has been proven to impact Loyalty Intention positively. The managerial implications in this study show that Artificial Intelligence is an essential variable in increasing customer loyalty in the form of digital banking services through the development of AI sensitive to user needs, namely through convenient service through application features that can improve the banking system's stability.  
Analysis of the Influence of Raw Material Types for Clothing on the Level of Consumer Interest Aged 18-22 Years in Brand XYZ
Get PDFBrand XYZ is a global apparel company that emphasizes comfort, durability, and design aesthetics in its product offerings. This study aims to examine the influence of clothing material type on purchase interest among consumers aged 18–22 years. A quantitative research approach was applied, using data collected from 50 respondents via a structured questionnaire on a 5-point Likert scale. Statistical analyses were performed using SPSS, including the Kolmogorov–Smirnov test for normality, a linearity test, Pearson correlation analysis, and simple linear regression. The results show that the data met the normality assumption (p = 0.859) and revealed a strong positive correlation between clothing material type and purchase interest (r = 0.810, p < 0.001). The regression model was found to be significant (F = 91.728, p < 0.001) with the equation Y=1.932+0.859XY = 1.932 + 0.859XY=1.932+0.859X and an R2R^2R2 value of 0.656, indicating that 65.6% of the variance in purchase interest can be explained by the clothing material type. The findings highlight the critical role of material selection in influencing consumer behavior. Practical recommendations for Brand XYZ include diversifying high-quality material options, improving transparency in fabric information, and implementing targeted consumer education campaigns to enhance brand loyalty and purchase intention
STRATEGI PENGHEMATAN PAJAK MELALUI PEMILIHAN BENTUK USAHA
Get PDFSecara hukum, perusahaan wajib membayar pajak yang diatur dalam parameter undang-undang perpajakan. Melalui perencanaan pajak yang matang, manajemen bank dapat memanfaatkan ketentuan atau celah dalam perpajakan aturan untuk membayar pajak lebih sedikit, membebaskan uang bagi pemegang saham untuk digunakan dan meningkatkan keuangan dan kinerja perusahaan. pemerintah menggunakan berbagai skema perpajakan untuk mengurangi beban pajak wajib pajak. Wajib Pajak yang mengetahui perencanaan pajak yang efisien dapat memanfaatkan keringanan pajak ini dengan menyusun operasi bisnis mereka sehingga mereka dapat melakukannya, memanfaatkannya dan karenanya membayar pajak lebih sedikit. Perencanaan pajak yang banyak dimanfaatkan dalam penghematan pengeluaran pajak salah satunya adalah melalui pemilihan bentuk usaha. Dua hal yang menjadi strategi penghematan pajak melalui pemilihan bentuk usaha dari wajib pajak yakni kepastian hukum dan tarif pajak
Pengaruh Citra Merek, Harga, dan Ulasan Pelanggan Terhadap Minat Beli Pada Konsumen Mie Gacoan Sidoarjo (Studi Pada Mahasiswa Umsida)
Get PDFMie instan menjadi makanan favorit orang di seluruh dunia sebagai salah satu jenis makanan cepat saji. Mie Gacoan merupakan restoran makanan cepat saji di Indonesia yang viral saat ini, yang terus melakukan inovasi untuk memenuhi kebutuhan dan selera pelanggan. Inovasi ini mencakup berbagai hal, seperti mengembangkan rasa baru, berbagai jenis mie, dan menambah bahan tambahan untuk meningkatkan kualitas produk. Penelitian ini menerapkan pendekatan kuantitatif untuk melakukan pengukuran dan menganalisis pengaruh citra merek, harga, dan ulasan pelanggan terhadap minat beli pada konsumen Mie Gacoan di Sidoarjo, khususnya pada mahasiswa Umsida. Penelitian ini menggunakan teknik purposive sampling sebagai metode pengambilan sampel dan memilih sampel yang sesuai dengan karakteristik tertentu, yaitu mahasiswa Umsida sebagai konsumen Mie Gacoan. Berdasarkan hasil penelitian ini, dapat disimpulkan bahwa kombinasi citra merek, harga, dan ulasan pelanggan memiliki pengaruh yang signifikan terhadap minat pelanggan untuk membeli produk Mie Gacoan Sidoarjo. Penelitian juga dapat menggali lebih lanjut tentang bagaimana faktor-faktor ini berinteraksi satu sama lain dalam konteks yang berbeda, seperti demografi konsumen atau lingkungan pasar yang berbeda.
 
Identifikasi Potensi Halal Tourism dalam perspektif Supply Chain Management di Kota Surakarta
Get PDFHalal tourism merupakan potensi industri yang sedang berkembang di dunia. Adanya antusiasme wisatawan yang meningkat hampir 100% pada tahun 2023 menjadikan Kota Surakarta menjadi destinasi favorit. Pilot project wisata kuliner halal di Kota Surakarta menjadi awal untuk mendorong destinasi wisata halal, sehingga perlu ada identifikasi potensi destinasi halal di Kota Surakarta untuk mendukung halal tourism. Tujuan dari penelitian ini adalah mengetahui potensi halal tourism yang ada di Kota Surakarta. Penelitian dilakukan dengan observasi lapangan dan pendekatan deskripsi-kualitatif. dapat disimpulkan Kota Surakarta memiliki potensi untuk mengembangkan halal tourism. Dari perspektif supply chain management ketersediaan objek wisata, penginapan, resto/rumah makan dan toko oleh-oleh dan souvenir telah dapat dikategorikan sebagai ramah muslim. Bagi para pemangku kebijakan dapat mengambil peluang dari dampak positif yang ditimbulkan, serta perlu untuk melakukan tindakan preventif untuk mengakomodir dampak negatif yang mungkin akan terjadi akibat dari kegiatan wisatawan
EXPERT SYSTEM FOR DIAGNOSING DISEASES IN GOATS USING THE FORWARD CHAINING METHOD: CASE STUDY OF FARMS IN DERSOYONO VILLAGE, DAWE
Get PDFThis research aims to design and implement an expert system supported by artificial intelligence to diagnose diseases in goats with the forward chaining method. The goal is to solve the problems faced by “Kertosono farm” located in Dawe village, Kudus district. This farm experiences obstacles such as difficult access to veterinarians due to long distances and lack of knowledge about initial treatment for their livestock. This system is designed to facilitate users in the treatment of their livestock, the knowledge in this expert system is limited to the information that has been inputted, including disease symptoms and first aid procedures. The diagnosis provided by the system is based on the rules and information that has been entered, not as a substitute for direct diagnosis by a veterinarian. Researchers use the forward chaining method which works more effectively by collecting information first before drawing conclusions from the data. This method speeds up the decision-making process, especially in situations that require a quick response, and is easy enough to implement in an expert system, so that the inference process becomes clearer. The system can immediately evaluate new information and apply relevant rules without having to repeat the entire initial data, and it is possible to track the inference steps taken, so that the user can understand how the conclusion was reached.
Keywords: Forward Chaining, Expert System, Waterfall, Artificial Intelligence.
 
Literature Study: Optimization Strategy Of Rice Supply Chain Management In Regions
Get PDFEfficient and sustainable rice supply chain management is essential to ensure the availability, quality, and price stability of rice in the regions. Factors that influence the efficiency of the rice supply chain include the quality of raw materials, logistics infrastructure, and coordination between farmers, distributors, government, and the private sector. Effective collaboration between related parties can increase productivity and distribution efficiency through the use of technology, strategic partnerships, and improvements in procurement and storage systems. However, the main challenges faced include dependence on weather, high costs, and issues of quality and sustainability of supply. Strategies implemented to overcome these challenges include improving infrastructure, diversifying technology, training for farmers, and strengthening the financing system that supports farmers. Further development is needed to strengthen the partnership between the private sector and the government, as well as introducing innovations in supply management to ensure the sustainability and efficiency of the rice supply chain in the future
A System Dynamics Approach to ERP Adoption in SMEs: A Case Study of Banyumas
Get PDFSmall and Medium Enterprises (SMEs) are pivotal to economic development, particularly in Indonesia, where they contribute significantly to employment and Gross Domestic Product (GDP). However, the adoption of sophisticated technologies such as Enterprise Resource Planning (ERP) systems remains a challenge due to constraints in resources, resistance to change, and implementation costs. This study applies a system dynamics methodology to develop an ERP adoption model specifically tailored for SMEs in Banyumas. The model synthesizes mental models derived from a comprehensive review of literature and semi-structured interviews with relevant stakeholders, culminating in the creation of a Causal Loop Diagram (CLD). This diagram identifies key feedback loops influencing ERP adoption, including reinforcing loops related to awareness and business benefits, and balancing loops that address implementation challenges such as cost and complexity. The findings underscore the critical role of government support, the development of cost-effective ERP solutions, and the importance of training programs in facilitating ERP adoption. The proposed model provides practical insights for policymakers and ERP providers to enhance digital transformation within SMEs