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All Journal 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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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.
Analisis Sentimen Tiktok: Wajib Militer dengan Metode Lexicon Based dan Naive Bayes Classifier Saprizal, Arpan Mualief; Nor Anisa
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp242-246

Abstract

The issue of conscription in Indonesia has sparked a heated debate among the public, especially on the social media platform TikTok. This study aims to analyze public sentiment on the issue through analysis of TikTok user comments. The method used is lexicon-based sentiment analysis. Data of 5,212 comments were collected using web scraping techniques with the keyword "conscription in Indonesia". The results of the analysis showed that the majority of comments (53.28%) were positive, followed by neutral comments (35.79%), and negative comments (10.92%). This finding indicates that there is considerable support for the issue of military service among TikTok users. The research process includes data collection, data processing, sentiment analysis using a lexicon-based approach, and visualization of results. The results of this study are expected to provide a clearer picture of public perception of the issue of military conscription in Indonesia. 
Analisis Data Judi Online di 5 Provinsi Indonesia Dengan Metode K-Means dan Decision Tree Saputra, Muhammad Bayu; Anisa, Nor
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp254-258

Abstract

This study aims to analyze online gambling data detected in five provinces in Indonesia using the K-Means and Decision Tree methods. The data includes player counts, transaction values, and geographical distribution in West Java, Jakarta, Central Java, Banten, and East Java. The K-Means method was applied to cluster provinces based on player counts and transaction values, while the Decision Tree was used to identify classification rules. The results reveal three main clusters with distinct characteristics: provinces with high player counts and high transactions, provinces with low player counts and moderate transactions, and provinces with moderate player counts but low transactions. These findings provide critical insights into the patterns of online gambling activities in Indonesia and serve as a foundation for more effective policies in managing its impacts.
Analisis Pengelolaan Digital Community dalam Mendukung Penjualan di Showroom Ralif Motor Rahmi, Halimatur; Rina, Rina; Adha, Fajar; Saputra, Muhammad Fitri; Anisa, Nor
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp293-298

Abstract

This journal examines the management of a digital community at Ralif Motor Showroom to support marketing efforts and business performance in addressing competitive challenges. The digital community is utilized to strengthen customer interactions, promotion, and loyalty, contributing to market expansion and building consumer trust. The study employs a qualitative approach through in-depth interviews with showroom representatives and several customers. The analysis reveals that while the digital community has positive impacts, such as increasing showroom visibility and fostering closer relationships with customers, its implementation faces challenges. Key issues include limited resources, inefficient manual recording processes, and suboptimal social media strategies. As a solution, this study recommends adopting an integrated management system, such as technology for stock management and transaction recording. Additionally, implementing a more structured and innovative social media strategy is necessary to support promotions and enhance customer interactions effectively. By taking these steps, the showroom is expected to improve operational efficiency, expand market share, and drive sustainable business growth.
Evaluasi dan Pengujian Internal Compatibility pada Aplikasi SIAKAD Universitas Sari Mulia Halimatur Rahmi; Nor Anisa
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp1-6

Abstract

The Academic Information System (SIAKAD) is a vital component in managing academic data at higher education institutions, including Universitas Sari Mulia. This study aims to evaluate the internal compatibility of the SIAKAD application, specifically the alignment and consistency of data across modules such as student profiles, course registration (KRS), academic grades, attendance, and payment. The primary issue addressed is the potential for data mismatches between modules, which could affect academic processes and user trust. This research employs a qualitative approach using the black-box testing method to assess the application's technical performance based on predefined test scenarios, alongside questionnaires to evaluate user experiences. The testing results demonstrate that all features, including login, profile management, attendance, grading, and payment, functioned as expected according to the test scenarios. Based on responses from 18 participants, 72.22% of users found the application easy to use and consistent in displaying data, though some features were deemed less optimal (5.56%). This study concludes that the SIAKAD application at Universitas Sari Mulia effectively supports academic data management, but further development is needed to improve feature quality and user satisfaction.
Analisis Big Data APS SLTA dan Strategi Pendidikan Menggunakan K-Means Berbasis Rapidminer Menuju Indonesia Emas Khoirun Nisa; Nor Anisa
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp11-16

Abstract

The Golden Indonesia Vision 2045 places education as the main pillar in creating superior human resources. School Participation Rate (APS) data is an important indicator to evaluate student access and participation in education. This study utilizes the K-Means Clustering method to analyze APS big data to identify patterns of education participation in Indonesia. The results of the analysis show significant participation clusters based on demographic, socio-economic, and geographical factors, and reveal gaps and potential for education improvement in various regions. In this study, RapidMiner is used as an analysis tool to process and visualize APS data. The results of clustering show a striking difference between areas with good access to education and areas with poor access to education. Factors such as income levels, educational infrastructure, and geographical location were found to have a major impact on student participation rates. Strategic recommendations include increasing access to education in disadvantaged areas through equitable distribution of education facilities, infrastructure development, and flexible data-based policies. In addition, scholarship programs in vulnerable areas are also proposed as a solution. This research supports strategic efforts towards the vision of Golden Indonesia 2045 by providing a strong foundation for policies that focus on the sustainability of national education.
Penerapan Algoritma Random Forest untuk Klasifikasi Depresi Berdasarkan Faktor Tekanan Kerja dan Kebiasaan Hidup Hamid, Muhammad Abdul; Anisa, Nor
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp46-52

Abstract

Depression is a serious mental condition that affects both individuals and society. The Random Forest algorithm will be used in this project to create a depression categorization model based on work pressure and lifestyle characteristics. The Depression Professional Dataset was analyzed using the Knowledge Discovery in Databases (KDD) approach, which included 2,054 data points with 11 factors such as age, work pressure, working hours, sleep habits, and family mental health history. The results showed that the Random Forest algorithm classified depressive states with 91% accuracy. The investigation found that age was the most important predictor, followed by work pressure, working hours, and job happiness. In contrast, gender and family mental health history had a smaller impact. This study demonstrates that the risk factors for depression are multifaceted, including demography and work pressure. These findings can be used to develop mental health preventive and intervention methods in the workplace. Future model development can include new factors, such as socioeconomic status, to produce a more comprehensive study
Desain Rumah Pintar dengan Konsep Internet of Things Maulana, Hendra; Rohyan, Anggit Suryan; Kurniawan, Satria Fajar Dwi; Anisa, Nor
Sains Data Jurnal Studi Matematika dan Teknologi Vol 3, No 2: July-December 2025
Publisher : Sekolah Tinggi Agama Islam Nurul Islam Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52620/sainsdata.v3i2.249

Abstract

Perkembangan teknologi dan gaya hidup modern mendorong integrasi sistem rumah pintar untuk meningkatkan efisiensi, kenyamanan, dan keamanan dalam aktivitas sehari-hari. Rumah pintar memungkinkan pengguna untuk mengendalikan perangkat rumah tangga seperti lampu, kipas angin, AC, pintu otomatis, jendela, penyiram taman, dan pintu garasi dari jarak jauh melalui konektivitas jaringan berbasis Internet of Things (IoT). Penelitian ini bertujuan untuk merancang dan mensimulasikan sistem rumah pintar menggunakan perangkat lunak Cisco Packet Tracer sebagai media simulasi jaringan. Prosesnya diawali dengan mengidentifikasi kebutuhan perangkat, perencanaan sistem, penempatan perangkat virtual, dan konfigurasi jaringan menggunakan Home Gateway sebagai pusat koneksi. Pengguna dapat memantau dan mengendalikan perangkat melalui antarmuka smartphone virtual menggunakan fitur IoT Monitor. Pengujian dilakukan menggunakan mode Realtime dan Simulasi untuk mengamati respons sistem terhadap perintah pengguna. Hasil simulasi menunjukkan bahwa sistem mampu menjalankan fungsinya secara optimal, dengan koneksi antar perangkat berjalan stabil tanpa penundaan yang berarti. Sistem ini juga dinilai fleksibel, efisien, dan adaptif terhadap kebutuhan pengguna. Teknologi ini tidak hanya menawarkan kemudahan dalam pengoperasian perangkat rumah tangga, tetapi juga mendukung efisiensi energi dan gaya hidup ramah lingkungan. Penelitian ini memberikan landasan yang kokoh untuk pengembangan lebih lanjut. Dengan demikian, konsep rumah pintar memiliki potensi besar untuk diterapkan secara luas.
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 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 Satria Fajar Dwi Kurniawan Sefti Wulandari Syarifuddin Syarifuddin Syarifuddin Tira Margaret Zaid Zaid