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All Journal ELKHA : Jurnal Teknik Elektro JIMFE (Jurnal Ilmiah Manajemen Fakultas Ekonomi) Jurnal Mantik Jurnal Ilmiah Manajemen Kesatuan
Prasetyo, Bayu Dwi
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Digital Marketing Development Strategy to Increase the Number of Tourists Gumilang, Adi Surya Panji; Gandhy, Abel; Prasetyo, Bayu Dwi
Jurnal Ilmiah Manajemen Kesatuan Vol. 12 No. 6 (2024): JIMKES Edisi November 2024
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v12i6.2904

Abstract

The increase in number of tourists is inseparable from the strategies used by tourist attractions by utilizing social media and Generation Z as a potential segmentation because they are known as digital natives. As happened to Bigstone Riverside located in Bogor, West Java, which once utilized social media by collaborating with influencers and getting an increase in visitors. Unfortunately, because the strategy used was inconsistent, there was a decline in visitors. This research aims to formulate a digital marketing development strategy for Bigstone Riverside. The selection of this research location was carried out purposively because this tourist destination has the potential to be developed and become a source of income for the surrounding community. This research uses qualitative data sourced from primary data and secondary data. The strategy formulation method used SWOT matrix by analyzing internal and external factors. The results of the strategy in this study are alternative strategies such as creating content that highlights advantages, creating promotions so that tourists share their excitement, conducting digital marketing training for administrators, collaborating with influencers and tourist information accounts, utilizing content generated by UGC users, optimizing SEO, and forming a team.
Feasibility study of catfish cultivation business using independent feed using maggot Prasetyo, Bayu Dwi; Gandhy, Abel
Jurnal Mantik Vol. 9 No. 1 (2025): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i5.6321

Abstract

This research was conducted with the aim of determining the financial feasibility of cultivating catfish using an artificial feed using maggot as source of protein. The indicators used in analyzing financial feasibility are Net Present Value (NPV), Internal Rate of Return (IRR), Break Event Point (BEP), Payback Period (PP), and Benefit Cost Ratio (B/C Ratio). The results of the business feasibility analysis on catfish cultivation are feasible because they meet the criteria that have been applied, namely the NPV with a value of IDR. 3,253,672, an IRR value of 94.58%, a net B/C value of 2.81, a payback period of 1 year and 1 month, and a BEP of 171 kg. The results of the analysis show that cultivating catfish using artificial feed is feasible in all indicators. Therefore, the recommended strategy to increase the advantages of using artificial feed with maggot as source of protein is to provide education and training to the public on how to make and produce artificial feed with maggot as protein source
Implementation of the business model canvas in designing business development strategies for Loush Bath MSME Marliani, Ismawati Putri; Gandhy, Abel; Prasetyo, Bayu Dwi
Jurnal Mantik Vol. 9 No. 2 (2025): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i6.6626

Abstract

The growth of the natural soap industry in Indonesia encourages Micro, Small, and Medium Enterprises (MSMEs) to design sustainable and adaptive business strategies. Loush Bath, an MSME in Bogor, produces natural exfoliating soap made from soap nuts, loofah, and orange peel, which is the subject of this research. This study focuses on the application of the Business Model Canvas to illustrate how to create, deliver, and capture business value (BMC) in designing Loush Bath's business development strategy, which aligns with the increasing consumer trend towards environmentally friendly and ethically sourced products. The primary objective of this research is to understand the nine elements of BMC about the current business situation and to identify strengths and areas for improvement. The method employed was a descriptive qualitative approach, utilizing data collection techniques that included semi-structured interviews, direct observation, and internal documentation. Data analysis was done thematically based on the BMC framework. The results showed that Loush Bath has effectively implemented most of the BMC elements, especially in value proposition, customer relationships, and digital distribution channels. However, challenges still exist, such as the lack of product diversification and the absence of a structured financial recording system. The conclusion of this study states that the application of BMC can provide a systematic, contextual, and responsive strategic framework for natural product-based MSMEs. Recommendations include product diversification, financial digitalization, optimizing digital distribution, strengthening local partnerships, and ensuring product legality.
PARTNERSHIP-BASED BUSINESS RESILIENCE MODEL FOR VILLAGE-OWNED ENTERPRISES (BUMDES) Hamzah, Hamzah; Prasetyo, Bayu Dwi; Priatna, Angka; Timuriana, Tiara
JIMFE (Jurnal Ilmiah Manajemen Fakultas Ekonomi) Vol 11, No 1 (2025): Vol 11, No. 1 (2025)
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34203/jimfe.v11i1.10866

Abstract

ABSTRACTThis study analyzes the optimal institutional model for supporting BUMDes business development in several sectors. This study uses the Multiple-Criteria Decision-Making (MCDM) approach with Interpretative Structural Modeling (ISM) as an analysis tool. Data was collected through interviews and focus group discussions with experts and stakeholders involved in BUMDes development. The study results indicate that the Village Government and Supervisors are the main driving factors in forming the BUMDes business ecosystem. BUMDes is the leading implementer of village businesses and is supported by various stakeholders. This partnership-based business resilience model emphasizes synchronization between the Village Head and BUMDes and the independence of BUMDes within the appropriate regulatory framework. Managerial implications include increasing BUMDe's professionalism, independence, strategic partnerships, and long-term planning. This study contributes to the BUMDes development literature by offering a holistic approach to analyzing the optimal institutional model in supporting BUMDes business growth.ABSTRAKPenelitian ini bertujuan untuk menganalisis model kelembagaan yang optimal dalam mendukung pengembangan bisnis BUMDes di beberapa sektor. Penelitian ini menggunakan pendekatan Multiple-Criteria Decision-Making (MCDM) dengan Interpretative Structural Modeling (ISM) sebagai alat analisis. Pengumpulan data dilakukan melalui wawancara dan focus group discussion dengan para ahli dan stakeholder yang terlibat dalam pengembangan BUMDes. Hasil penelitian menunjukkan bahwa Pemerintah Desa dan Pengawas merupakan faktor pendorong utama dalam membentuk ekosistem bisnis BUMDes. BUMDes berperan sebagai pelaksana utama usaha desa, didukung oleh berbagai pemangku kepentingan. Model ketahanan bisnis berbasis kemitraan ini menekankan sinkronisasi antara Kepala Desa dan BUMDes, serta kemandirian BUMDes dalam kerangka regulasi yang tepat. Implikasi manajerial meliputi peningkatan profesionalisme BUMDes, kemandirian, kemitraan strategis, dan perencanaan jangka panjang. Penelitian ini berkontribusi pada literatur pengembangan BUMDes dengan menawarkan pendekatan holistik untuk menganalisis model kelembagaan yang optimal dalam mendukung pertumbuhan bisnis BUMDes.
Computer Aided Classification of X-ray Images from Pediatric Pneumonia Subjects Collected in Developing Countries Amrulloh, Yusuf Aziz; Prasetyo, Bayu Dwi; Khoiriyah, Ummatul; Gunarti, Hesti; Setyowireni, Dwikisworo; Triasih, Rina; Naning, Roni; Setyati, Amalia
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.69981

Abstract

Pneumonia is a lower tract respiratory infection due to bacteria or viruses. It is a severe disease in the pediatric population. Pneumonia is the leading cause of mortality in children under five years worldwide. One of the problems with pneumonia is the diagnosis, as the symptoms of pneumonia may overlap with other diseases, such as asthma and bronchiolitis. In this work, we propose to develop a method for classifying pneumonia and non-pneumonia using X-ray images. We collected 60 X-ray images from Dr. Sardjito Hospital, Yogyakarta, Indonesia, and the dataset from Kaggle. We processed these images through pre-processing algorithms to enhance the image quality, segmentation, white pixel computation, and classification. The novelty of our method is using the ratio of the white pixels from edge detection using the Canny algorithm with the white pixels from segmentation for classifying pneumonia/non-pneumonia. In the Kaggle dataset, our proposed method achieved an accuracy of 86.7%, a sensitivity of 100%, and a specificity of 85%. The classification using the dataset from Dr. Sardjito Hospital yields sensitivity, specificity, and accuracy of 80%, 60%, and 66.7%, respectively. Despite the low performance in the results, we proved our novel feature, ratio of white pixels, can be used to classify pneumonia/non-pneumonia. We also identified that the local dataset is essential in the algorithm development as it has a different quality from the dataset from modern countries. Further, our simple method can be developed further to support pneumonia diagnosis in resource-limited settings where the advanced computing devices or cloud connection are not available.
Co-Authors Amalia Setyati Amrulloh, Yusuf Aziz Dwikisworo Setyowireni Gandhy, Abel Gumilang, Adi Surya Panji Gunarti, Hesti Hamzah Hamzah Khoiriyah, Ummatul Marliani, Ismawati Putri Priatna, Angka Rina Triasih Roni Naning Timuriana, Tiara