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THE INFLUENCE OF THE MARKETING MIX ON BRAND IMAGE IN THE COMMUNITY(Case Study at Bank Bjb Main Branch) Nugraha, Dendi; Mulyani, Sri Rochani; Aripin, Zaenal
Journal of Economics, Accounting, Business, Management, Engineering and Society Vol. 1 No. 2 (2024): Kisa Institute - January
Publisher : PT. Kreatif Indonesia Satu

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Abstract

Purpose .of .This .Research .Is .To .Know .How . The Effect of Marketing Mix on Brand Image in the Community (Case Study at Bank Bjb Main Branch). The .method.used.is.descriptive.research.which.analyzes.the.results.of.research.but.is.not.used.to.draw.broader.conclusions. So .here .we have .independent .variables .and .dependent .variables.. The data collection technique used is a field study with a questionnaire to 100 respondents and library research. Based on the author's research, it can be seen that the relationship between marketing mix and brand image in the community (case study at bank bjb main branch). . Meanwhile, based on statistical calculations carried out with SPSS, obtained . known value F = 243.617, and value Sig. = 0.000, while value F table with df (7.92) = 2.11. Thus H0 is rejected, H8 is accepted, these variables Product (X1), Price (X2), Place (X3), Promotion (X4), People (X5), Process (X6), Physical Evidence (X7), together have a significant effect on Brand Image (Y). Thus H0 is rejected, and H8 is accepted, these variable variables Product (X1), Price (X2), Place (X3), Promotion (X4), People (X5), Process (X6), Physical Evidence (X7), together have a significant effect on the variable Brand Image (Y).
THE ETHICS OF AL-GHAZALI'S PERSPECTIVE IN KIMIYAUS SA'ADAH AND ITS RELEVANCE TO CONTEMPORARY MORAL CHALLENGES Irfani, Muhammad Aska; Iqbal, Imam; Nugraha, Dendi
Jurnal Al-Ulum : Jurnal Pemikiran dan Penelitian Ke-Islaman Vol 12 No 3 (2025): al-Ulum: Journal of Islamic Education, Research and Thought
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/alulum.12.3.2025.223-240

Abstract

The moral crisis characterized by value relativism and secularism demands the contribution of religious ethics that is transcendental and adaptive. This study aims to explore the ethical structure of Al-Ghazali in Kimiyaus Sa'adah and assess its relevance in responding to contemporary ethical challenges. This study uses a qualitative approach based on literature studies, with textual and hermeneutical analysis of Al-Ghazali's primary works and relevant secondary literature. The results of the study show that Al-Ghazali's ethics are based on revelation as the main source of morality, but still provide space for rationality within the framework of tafakkur and moral introspection. There is a harmonious integration between tazkiyah al-nafs, morality, and love for God, which is directed at ukhrawi happiness. This ethical system emphasizes not only formal obedience to divine law, but also inner transfiguration through the control of the passions and the actualization of the angelic nature in man. In conclusion, Al-Ghazali's ethics offers a theocentric, spiritual, and rational model of Islamic ethics, which remains relevant to be applied contextually in pluralistic and secular societies. This study opens up opportunities for the development of Islamic public ethics based on revelation that is dialogical and inclusive, as well as encouraging further research in the realms of bioethics, social justice, and ecotheology.
Penerapan Natural Language Processing (NLP) dan Convolutional Neural Network (CNN) dalam Pengembangan Asisten Pertanian Berbasis Chatbot Maora, Resta Maolina; Ubaidillah; Mulyati, Ratih; Nugraha, Dendi
Cipasung Techno Pesantren: Jurnal Ilmiah Vol 19 No 1 (2025): Vol. 19 No. 1 (2025): Cipasung Techno Pesantren: Scientific Journal
Publisher : LPPM Sekolah Tinggi Teknologi Cipasung

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Abstract

The agricultural sector in Indonesia plays an important role in the country's economy, but farmers often face various challenges in managing their farmland. One solution is to integrate technologies, such as Natural Language Processing (NLP) and Convolutional Neural Networks (CNNs), to provide more precise and efficient information. This research aims to develop a chatbot-based Agricultural Assistant system that can assist farmers in managing agricultural activities. The system provides features such as weather forecasts, fertilization guides, plant recommendations, and pest and disease management. The method used in this study is software development with a Scrum approach, which allows for rapid iteration and effective collaboration in system development. The test results show that this system has an accuracy rate of 89% in plant disease classification using CNNs, with several classes that Keywords—Agricultural Assistant; Chatbot; Natural Language Processing; Convolutional Neural Network; Classification of Plant Diseases