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All Journal Berkala Ilmiah Pendidikan Fisika Journal of Practical Computer Science (JPCS) Majalah Ilmiah METHODA TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Jurnal Riset Sistem dan Teknologi Informasi Sains Data Jurnal Studi Matematika dan Teknologi INSTALL: Information System and Technology Journal KOMNET : Jurnal Komputer, Jaringan dan Internet
Nor Anisa
Information System, Faculty Of Sains And Technology, Sari Mulia University
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Physics Public Health Other

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Journal : INSTALL: Information System and Technology Journal

 1 
The Diabetes Prediction Using Flask and Decision Tree Classifier with Cross-Validation: Prediksi Diabetes Menggunakan Flask dan Decision Tree Classifier dengan Validasi Silang Nor Anisa; Anggara Kurniawan
INSTALL: Information System and Technology Journal Vol 1 No 1 (2024): INSTALL : Information System and Technology Journal
Publisher : LPPM Universitas Sari Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33859/install.v1i1.548

Abstract

Diabetes is a chronic medical condition that impairs the body's ability to process blood sugar, leading to elevated levels of glucose in the blood. This condition can cause serious health complications if not managed properly. Early detection and intervention are crucial in preventing these complications. This study aims to develop a user-friendly web application using Flask, a lightweight Python web framework, to predict the type of diabetes based on symptoms reported by users. The Machine Learning model utilized for this purpose is the Decision Tree Classifier, chosen for its simplicity and interpretability. The model's performance was evaluated through cross-validation to ensure reliability and accuracy. The results demonstrate that the developed application can effectively predict the type of diabetes, providing valuable insights and assisting users in seeking timely medical advice. This tool has the potential to enhance public awareness about diabetes and facilitate early diagnosis, ultimately contributing to better health outcomes for individuals at risk of this condition.
Dropshipper Hijab Haven: A Solution for Stylish and Comfortable Hijabs Nurul Fahmi; Anisa, Nor
INSTALL: Information System and Technology Journal Vol 1 No 3 (2024): INSTALL : Information System and Technology Journal
Publisher : LPPM Universitas Sari Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33859/install.v1i3.746

Abstract

Hijab Haven is an innovative startup that aims to provide hijab collections with fashionable, comfortable, and functional designs to fulfill the needs of modern Muslim women. Through a technology-based approach and digital marketing, the startup offers solutions that not only improve customer experience but also support more efficient business management. This research uses a descriptive method with a qualitative approach to evaluate digital marketing strategies, optimization of stock management, and user-friendly e-commerce interface design. Results show that the combination of social media strategy, use of cloud-based technology, and business management training significantly improved Hijab Haven's competitiveness as well as sustainability in the Muslim fashion market. The findings provide important insights into how MSMEs can leverage technology to achieve sustainable growth in the digital age. This research recommends further development in product innovation and the use of artificial intelligence for market trend analysis to improve service personalization.
Auto Lavaggio: Innovation and Digitalization in the Car Wash Industry Adha, Fajar; Muhammad Fitri Saputra; Anisa, Nor
INSTALL: Information System and Technology Journal Vol 1 No 2 (2024): INSTALL : Information System and Technology Journal
Publisher : LPPM Universitas Sari Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33859/install.v1i2.747

Abstract

The car wash industry continues to grow with the adoption of digital technology to improve operational efficiency and service quality. This study aims to develop a digital application that supports the auto lavaggio business with key features such as online reservations, service process automation, and data-based performance reporting. This application was developed using the Django framework for the backend and Flutter for the user interface, with testing carried out using the black-box testing method. The results of the study show that this application has succeeded in increasing service efficiency by up to 40%, reducing customer waiting time, and providing ease of transactions through the integration of a digital payment system. In addition, the reporting dashboard feature provided allows business owners to monitor business performance in real-time, increasing transparency and making more informed decisions. Although this application has succeeded in providing significant benefits, challenges such as payment API integration and user adaptation to new technologies remain. The solutions implemented include system optimization and the addition of tutorial features for new users. Overall, this application provides an innovative solution in improving the services and operations of the auto lavaggio business, while opening up opportunities for further development, such as the use of artificial intelligence (AI) and the expansion of environmentally friendly services.
Home Eazy: Flexible Home Assistant Solution with Easy Access Khairani Syahbana; Mera; Nor Anisa
INSTALL: Information System and Technology Journal Vol 2 No 1 (2025): INSTALL : Information System and Technology Journal
Publisher : LPPM Universitas Sari Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33859/install.v2i1.744

Abstract

Home Eazy is an innovative startup that focuses on providing on-demand household assistant services. Through this startup, users can request household assistants for various household tasks through a digital application. This study aims to evaluate Home Eazy's business potential, operational effectiveness, and marketing strategy. The findings show that this business model has significant opportunities, especially due to the lack of local competitors. As the first startup in the household service sector, Home Eazy has the potential to build a strong brand image among consumers, capture a large market share ahead of competitors, create new jobs, generate substantial profits, collect valuable data early, build new market infrastructure, and attract investor support. The service is accessible anytime and anywhere, so users can easily get household help through digital devices such as smartphones or computers.
Co-Authors adha, Fajar Agustina, Melisa Anggara Kurniawan Anggit Suryan Rohyan Arpan Mualief Saprizal Desvira Annisa Gita Medina Gregorius Amori Halimatur Rahmi Hamid, Muhammad Abdul Juan Edbert Sinaga Khairani Syahbana KHOIRUN NISA Kurniawan, Satria Fajar Dwi Linda Linda M. Zufannor Ihsan Maisarah Maisarah, Maisarah Maulana, Hendra Medina, Gita Mera Muhammad Bayu Saputra Muhammad Fitri Saputra Muhammad Gazali Noor Muhammad Rafliansyah Nurul Fahmi Pebriana, Risky Pratama, Muhammad Maigy Putra Sanjaya Kaharap Rahmi, Halimatur Raudhatul Jannah Rina Rina Risky Pebriana Rizky Aulia Akbar Rohyan, Anggit Suryan Saprizal, Arpan Mualief Saputra, Muhammad Bayu Saputra, Muhammad Fitri Sarah Miriam, Sarah Satria Fajar Dwi Kurniawan Sefti Wulandari Syarifuddin Syarifuddin Syarifuddin Tira Margaret Zaid Zaid