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PKM Strategi Membangun Bisnis Yang Kuat Melalui Pendampingan Pada Komunitas Kebon Pala Berseri Kecamatan Makasar Jakarta Timur Setyaningsih, Eka Dyah; Zuniarti, Ida; Misriati, Titik
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 3, No 1 (2019)
Publisher : LPPM ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (150.618 KB) | DOI: 10.31284/j.jpp-iptek.2019.v3i1.480

Abstract

Usaha Kecil dan Menengah yang terdapat di Komunitas Usaha Kebon Pala Berseri masih belum maksimal dalam mengembangkan usaha di bidang makanan olahan, obat herbal, dan kerajinan tangan. Oleh sebab itu, perlu adanya pelatihan tentang kewirausahaan untuk meningkatkan kemampuan soft skill dari peserta pengabdian masyarakat agar memiliki mental yang kuat dalam menjalankan usaha. Selain pelatihan, dilakukan juga pendampingan terhadap mitra agar mampu menjalankan usaha dan membangun bisnis yang kuat untuk meningkatkan produktivitas dari usaha yang dijalankan. Berdasarkan hasil pelaksanaan pelatihan dan pendampingan, dapat disimpulkan bahwa pemahaman mitra meningkat sebanyak 77%.
THE EFFECT OF PRODUCT INNOVATION ON SAMSUNG SMARTPHONE PRODUCT PURCHASE DECISIONS THROUGH BRAND EQUITY AS INTERVENING VARIABLES IN THE TOKOPEDIA MARKETPLACE Suleman, Dede; Zuniarti, Ida; Marwansyah, Sofyan; Kuspriyono, Taat; Riftiasari, Dinar; Rusiyati, Sri; Suharyadi, Dedi; Ariawan, Joko
Journal of Industrial Engineering & Management Research Vol. 2 No. 5 (2021): October 2021
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.576 KB) | DOI: 10.7777/jiemar.v2i5.209

Abstract

Buying choices are contemplations that exist inside a person to work out something to look for through an interaction of thought with different accessible choices. There are many components that impact buying choices where each buyer needs an item which will address all issues. In this manner, inside the choice to search for Cell phone items, shoppers likewise need items that have total innovation that follows the days, so makers are needed to in any case improve on their items. This investigation utilizes a quantitative methodology and SEM PLS examination strategy utilizing the Keen PLS 3 investigation instrument. during this examination, purposive inspecting method was utilized. The populace during this examination were all Samsung cell phone shoppers who made buys through the Tokopedia commercial center during 2020. on account of the wide populace inclusion, the populace during this investigation isn't known definitely, so during this examination the creators utilized a limitless populace, in the wake of figuring the example during this examination. This examination is 100 respondents. The consequences of this examination demonstrate that there's a positive and critical impact of item development variable on brand value, there's no impact of item advancement variable on buying choices, there's a positive and huge impact of brand name value on buying choices and there's a positive and huge impact of item development on buy choices through brand value.
Pelatihan Membangun Merek dengan Pemasaran yang Berorientasi pada Manusia Sebagai Daya Tarik pada Ikatan Remaja RW 07 Margonda, Depok, Provinsi Jawa Barat Basudani, Wahid Akbar; Abdullah, Muhammad; Zuniarti, Ida; Simamora, Valentine Theresia
Indonesian Journal of Society Engagement Vol. 4 No. 3: Desember 2023
Publisher : Lembaga Kajian Demokrasi dan Pemberdayaan Masyarakat (LKD-PM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33753/ijse.v4i3.143

Abstract

This Community Service activity aims to provide training for teenagers who are members of the RW 007 Margonda Youth Association organization, Depok, West Java, where these teenagers need knowledge about how to build a brand in entrepreneurship. Current developments in the era of digitalization mean that consumers can communicate easily by social media, which requires business owners to build a brand that is human-oriented. Building a brand that is oriented towards humans as customers can be done by understanding consumers through social listening, netnography and empathic research methods. By knowing the concept of building a human-oriented brand, these teenagers can easily capture consumer responses and innovate products according to their customers' needs.
Menggali dan Membangun Keunggulan Kompetitif Melalui Kearifan Lokal Masyarakat Ciptagelar, Sukabumi, Provinsi Jawa Barat Pranowo, Agus Setyo; Zuniarti, Ida; Mazia, Lia; Windi, Windi; Sambodo, Priyo; Rachman, Nono Arief; Sienifa, Yuhelmis; Isbat, Isbat; Alimin, Ismet; Yusuf, Nanang Qosim; Lasut, Henry
Indonesian Journal of Society Engagement Vol. 4 No. 3: Desember 2023
Publisher : Lembaga Kajian Demokrasi dan Pemberdayaan Masyarakat (LKD-PM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33753/ijse.v4i3.145

Abstract

Community service activities aim to provide socialization about strategies to achieve competitive advantage for the Ciptagelar Community, Sukabumi, West Java without having to abandon local wisdom and culture that has been strongly adhered to by the Ciptagelar Community. Community Service Activities for the Ciptagelar community aim to increase the role of local wisdom in empowering the community and building competitive advantages at the local level. The service approach is carried out through active collaboration with the local community. Service activities are carried out by means of outreach to explore and recognize local wisdom which is manifested in Ciptagelar in Sukabumi. Active community participation is the main basis in this process, so that increasing local knowledge and skills can make a positive contribution to economic development and sustainability in the area. The results of the service show that through a collaborative approach and community empowerment, the local wisdom of the Ciptagelar community can be integrated into various sectors, including micro and small businesses, tourism and creative industries. Increasing community participation in utilizing Ciptagelar as a local resource can open up new opportunities for sustainable economic development in Sukabumi. This journal provides a practical overview of how community service can be an effective instrument in exploring and building competitive advantages through local wisdom. The implications of this service activity can be a model for developing participatory strategies in utilizing local potential to increase the competitiveness and welfare of communities in various regions.
SENTIMENT ANALYSIS OF INDONESIAN COMMUNITY ON COVID-19 VACCINATION ON TWITTER SOCIAL MEDIA Nurmalasari, Nurmalasari; Astuti, Widi; Gata, Windu; Zuniarti, Ida
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3820

Abstract

In the process, data mining will extract valuable information by analyzing the existence of specific patterns or relationships from extensive data. One of the concerns of the new disease outbreak caused by the coronavirus (2019-nCoV) or commonly referred to as Covid-19, was officially designated as a global pandemic by the World Health Organization (WFO) on March 11, 2020. To break the transmission of Covid-19, the government carried out vaccinations for the Indonesian population. In the first period, the vaccination target will be for health workers with a total of 1.3 million people, public officers with 17.4 million people, and 21.5 million people. 19. The Data processed is only text data from Twitter application reviews that use Indonesian. Using the polarity of the Sentiment class Textblob, the sentiment class is positive, negative, and neutral. The data mining used is SVM, Naive Bayes, and Logistic Regression. As for this research in the form of knowledge of sentiment in the community towards vaccination activities, the results of this study get 43% positive sentiment, 40.8% negative, and 16.2% negative by testing the classification algorithm, Logistic Regression accuracy of 87%, SVM 86, 4%, and Naive Bayes, 40% of these results, can be seen that the Indonesian people have a positive sentiment towards the covid-19 vaccine.
Sustainable Sales: Five Legs Resto's Green Marketing Mix and Social Media Impact – A Mataram City Case Study Rusiyati, Sri; Suleman, Dede; Zuniarti, Ida; Puspasari, Aprilia; Sofyanty, Devy; Hakim, Lukman
Dinasti International Journal of Digital Business Management Vol. 5 No. 6 (2024): Dinasti International Journal of Digital Business Management (October-November
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijdbm.v5i6.3484

Abstract

This research investigates the application of Green Marketing strategies in the Five Legs Resto, Mataram City, Lombok, and assesses their impact on both traditional product sales and social media influence. Drawing on a comprehensive green marketing mix, including green product, price, place, and promotion, the study employs regression analyses to unravel the intricate relationships among these variables. The findings reveal that eco-friendly product offerings and transparent pricing positively influence product sales and social media influence. Conversely, the physical location (Green Place) does not significantly impact the outcomes, suggesting the growing importance of online channels. Notably, effective green promotion emerges as a powerful driver of both product sales and social media influence. These results contribute to the existing literature on green marketing and offer actionable insights for businesses seeking a balance between environmental responsibility and commercial success. The implications extend to both academic research and practical considerations, guiding future explorations in the dynamic landscape of sustainability-oriented marketing.
Improving Early Detection of Cervical Cancer Through Deep Learning-Based Pap Smear Image Classification Merlina, Nita; Prasetio, Arfhan; Zuniarti, Ida; Mayangky, Nissa Almira; Sulistyowati, Daning Nur; Aziz, Faruq
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.576

Abstract

Cervical cancer is one of the leading causes of death in women worldwide, making early detection of the disease crucial. This study proposes a deep learning-based approach that has the advantage of leveraging pre-trained models to save data, time, and computation to classify Pap smear images without relying on segmentation, which is traditionally required to isolate key morphological features. Instead, this method leverages deep learning to identify patterns directly from raw images, reducing preprocessing complexity while maintaining high accuracy. The dataset used in this study is a public data repository from Nusa Mandiri University (RepomedUNM), which has a wider variety of data. This dataset is used to classify images into four categories: Normal, LSIL, HSIL, and Koilocytes. The dataset consists of 400 images evenly distributed, ensuring class balance during training. Transfer learning is applied using five Convolutional Neural Network (CNN) architectures: ResNet152V2, InceptionV3, ResNet50V2, DenseNet201, and ConvNeXtBase. To prevent overfitting, techniques such as data augmentation, dropout regularization, and class weight adjustment are applied. The evaluation results in this study showed the highest accuracy with a value of ResNet152V2 = 0.9025, InceptionV3 = 0.8953 and DenseNet201 = 0.8845. ResNet152V2 excelled in extracting complex features, while InceptionV3 showed better computational efficiency. The study also highlighted the clinical impact of misclassification between Koilocytes and LSIL, which may affect diagnostic outcomes. Data augmentation techniques, including horizontal and vertical flipping and normalization, improved the model's generalization to a wide variety of images. Specificity was emphasized as a key evaluation metric to minimize false positives, which is important in medical diagnostics. The findings confirmed that transfer learning effectively overcomes the limitations of small datasets and improves the classification accuracy of pap smear images. This approach shows potential for integration into clinical workflows to enable automated and efficient cervical cancer detection.
Penguatan Keterampilan Melalui Pelatihan Pengembangan Ide Bisnis di SMK Tri Sukses, Kota Depok Rusiyati, Sri; Elyana, Instianti; Zuniarti, Ida; Candrasari, Ati
Indonesian Journal of Society Engagement Vol. 5 No. 3: Desember 2024
Publisher : Lembaga Kajian Demokrasi dan Pemberdayaan Masyarakat (LKD-PM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33753/ijse.v5i3.188

Abstract

Vocational high school institution, SMK Tri Sukses Depok has an important role in preparing its students to face the world of work or become independent entrepreneurs by providing students with entrepreneurial skills, ranging from identifying business opportunities to preparing sustainable business plans. The purpose of this activity is to develop creative and innovative ideas in creating independent business opportunities, which are expected to improve students' abilities in facing future competition and fostering an entrepreneurial spirit. The method used is to conduct training accompanied by simulations and case studies to develop creative and innovative ideas so that they are ready to face the challenges of the world of work or create independent business opportunities. The training uses learning modules, internet access, projectors, and laptops for presentations. The results of the training showed that there was an increase in participants' knowledge, creativity and innovation in entrepreneurial skills, ranging from identifying business opportunities to preparing business plans and students were motivated to start entrepreneurship. The responses of the training participants were very satisfied and very interested in participating again in the next activity.
HOW EASE OF USE, USEFULNESS TOWARD ATTITUDE OF SHOPPING AT ONLINE RETAIL Zuniarti, Ida; Suleman, Dede; Rachmawati, Susan; Sabil; Rusiyati, Sri
Dinasti International Journal of Education Management And Social Science Vol. 1 No. 4 (2020): Dinasti International Journal of Education Management and Social Science (April
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijemss.v1i4.211

Abstract

This study aims to analyze the relationship between ease of use and usefulness of shopping decisions at online retail. This study uses a sampling quota sampling technique with a survey method with a total sample of 90 respondents from the city of Jakarta with the criteria of respondents aged over 17 years and have made a purchase of fashion products online. The results of the study stated that ease of use and usefulness influence consumer attitudes. the results of this study can be a reference for further research.
The Role of AI-Powered Chatbots in Enhancing Consumer Satisfaction: Case Study of E-Commerce Platforms in Indonesia Suleman, Dede; Zuniarti, Ida; Rusiyati, Sri; Joesah, Nurzalinar; Hakim, Lukman; Haryati, Raden Ati
Golden Ratio of Mapping Idea and Literature Format Vol. 5 No. 2 (2025): February - June
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmilf.v5i2.1430

Abstract

This study examines the impact of AI-powered chatbots on consumer satisfaction in Indonesia's e-commerce industry. A quantitative approach was used to analyze data collected from 400 e-commerce users, focusing on key variables such as response speed, personalization, reliability, and perceived usefulness. Structural Equation Modeling (SEM) was employed to evaluate the relationships between these factors. The findings indicate that response speed and personalization significantly enhance consumer satisfaction, with personalization having the most substantial effect. Perceived usefulness mediates the relationship between chatbot reliability and satisfaction, highlighting the importance of functional trust. However, chatbots were less effective in handling complex queries, moderating their overall impact on satisfaction. The study offers practical recommendations for e-commerce platforms in Indonesia, including enhancing chatbot algorithms for complex problem-solving and leveraging AI to deliver highly personalized interactions. These findings underscore the potential of AI-powered chatbots to drive consumer satisfaction and strengthen brand loyalty in Indonesia's rapidly growing digital marketplace.