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All Journal JOMLAI: Journal of Machine Learning and Artificial Intelligence International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) Jurnal Manajemen Kewirausahaan dan Teknologi
Wanda Riana
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions

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IMPORTANCE OF ORGANIZATIONAL CULTURE IN DIGITAL ERA Dini Dwi Wahyuningsih; Rany Aprilliana; Ananda Nirmala; Rio Mahesa Wahyu Pratama; Wanda Riana
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 6 No. 2 (2024): 8th IHERT (2024): IHERT (2024) SECOND ISSUE: International Conference on Health
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ihert.v6i2.438

Abstract

Organizational culture has an important role in supporting company performance, especially in the digital era. A strong organizational culture is able to create a unique identity, provide a code of conduct, and encourage innovation, productivity, and collaboration in the work environment. Companies that succeed in developing an adaptive and innovative work culture can effectively deal with technological developments and market dynamics, thus ensuring the company's competitiveness and sustainability. This research highlights the importance of building an adaptive work culture through the integration of digital technology and employee skill development. In addition, a culture that supports innovation provides space for employees to contribute through creative ideas and solutions that suit market needs. This is a key element for companies that want to stay relevant and achieve optimal performance in the midst of rapid change. The results of this study confirm that organizational culture is not just an operational framework, but a strategic asset that drives company growth and resilience. By building an adaptive, collaborative, and innovative culture, organizations can achieve long-term success in an increasingly complex business environment.
Bertahan dari Krisis 1998 hingga Pandemik: Usaha Dodol Deli Pasar Bengkel Tak Pernah Goyah Dini Dwi Wahyuningsih; Ratna Sari Dewi; Rany Aprilliana; Ananda Nirmala; Wanda Riana
Jurnal Manajemen Kewirausahaan dan Teknologi Vol. 2 No. 2 (2025): Juni : Jurnal Manajemen Kewirausahaan dan Teknologi
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumaket.v2i2.541

Abstract

This study aims to describe the success strategy of the Dodol Deli business, an MSME that has existed since 1988 in Pasar Bengkel, Serdang Bedagai Regency. This business is an example of traditional business resilience in the face of various economic challenges, ranging from the 1998 monetary crisis, road infrastructure development, to the COVID-19 pandemic. This research uses a descriptive qualitative method with a case study approach, through direct interviews with business owners. The results show that the success of Dodol Deli is influenced by strong entrepreneurial character, product innovation, efficient production management, and adaptive marketing strategies, including the utilization of social media. In addition, the decision not to use preservatives and not to rely on modern retail systems is an added value in maintaining product authenticity and customer loyalty. Dodol Deli also demonstrates healthy self-financing practices and receives support through non-cash assistance from the government. These findings reinforce the importance of a combination of local values, business independence, and technological adaptation as keys to MSME sustainability.
Annual Rainfall Prediction in Indonesia Using A Hybrid Artificial Neural Network and Fuzzy Algorithm Model Siti Asiah; Wanda Riana; Dika Chryston Purba; M Ilham Azharsum; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 2 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i2.5964

Abstract

Rainfall is an essential meteorological parameter that affects various sectors of life. Accurately predicting rainfall has become crucial, and artificial intelligence-based models are increasingly popular in this field. Artificial Neural Networks (ANNs) have been widely used due to their ability to identify non-linear patterns in complex data. However, ANN-based predictions have limitations in optimally handling uncertainty or data variability. To address this issue, this study proposes a hybrid model that combines ANNs with fuzzy algorithms. Fuzzy algorithms are capable of managing uncertainty and providing flexible decision-making. This research proposes a hybrid model that integrates Artificial Neural Networks (ANNs) and fuzzy algorithms to predict annual rainfall based on meteorological data from 2019 to 2024. ANNs are used to detect non-linear patterns in temperature, humidity, and atmospheric pressure data, while fuzzy algorithms handle the uncertainty in input data. The model was tested using data from local meteorological stations and evaluated using MAE, RMSE, and the coefficient of determination (R²) metrics. The evaluation results show that the hybrid model achieved the best performance, with an MAE of 3.17 mm, RMSE of 3.4 mm, and R² of 0.98. These findings indicate that the combination of ANN and fuzzy logic significantly improves the accuracy of rainfall prediction compared to individual methods. This model has the potential to be applied in early warning systems and more precise climate management.
Co-Authors Ananda Nirmala Dika Chryston Purba Dini Dwi Wahyuningsih M Ilham Azharsum Rany Aprilliana Ratna Sari Dewi Rio Mahesa Wahyu Pratama Siti Asiah Victor Asido Elyakim P