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All Journal Media Informatika Journal of Practical Computer Science (JPCS) Majalah Ilmiah METHODA TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Sains Data Jurnal Studi Matematika dan Teknologi Khazanah: Journal of Islamic Education and Science
Nor Anisa
Sistem Informasi, Fakultas Sains & Teknologi, Universitas Sari Mulia, Banjarmasin Timur, 70238, Indonesia.
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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Analisis Tingkat Kepuasan Mahasiswa Terhadap Kualitas Layanan dan Konten Musik pada Aplikasi Spotify Muhammad Maigy Pratama; Nor Anisa
Majalah Ilmiah METHODA Vol. 15 No. 3 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No3.pp276-282

Abstract

This study aims to evaluate student satisfaction with the Spotify music streaming application by examining two primary factors: service quality and music content. Using a quantitative survey approach, data were collected from university students who actively use Spotify for digital music consumption. The results show that most people who answered the survey (66.7%) think Spotify is easy to use and (70.4%) think it looks good. Also, 72.2% of users said that Spotify's features make their listening experience better, and 64.8% said that the audio quality is good. However, a notable proportion of respondents still experience errors or disturbances while using the application (57.4%). 57.4% of respondents think that music recommendations are usually good for their moods, and 55.6% think that being able to find new songs through recommendations is helpful. Overall satisfaction levels reached only 50%, indicating that Spotify has not fully met user expectations. These results indicate that there must be improvements in service quality, system stability, and recommendation accuracy to enhance overall user satisfaction among students.
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.
Penerapan Algoritma Random Forest untuk Klasifikasi Depresi Berdasarkan Faktor Tekanan Kerja dan Kebiasaan Hidup Muhammad Abdul Hamid; 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.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
Analisis Komprehensif Performa dan Teknologi Website ICC Sari Mulia Menggunakan Google Lighthouse, Wappalyzer, dan Apache JMeter Load Test Raudhatul Jannah; Nor Anisa
Media Informatika Vol 25 No 1 (2026)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37595/mediainfo.v25i1.523

Abstract

Penelitian ini menyajikan analisis diagnostik menyeluruh terhadap performa, stabilitas, dan arsitektur teknologi pada website ICC Sari Mulia guna memastikan pengalaman pengguna yang optimal serta keberlanjutan layanan digital. Pendekatan kuantitatif digunakan dengan memadukan hasil dari tiga alat utama: Google Lighthouse, Wappalyzer, dan Apache JMeter. Lighthouse digunakan untuk menilai kualitas front-end, termasuk kecepatan, aksesibilitas, praktik terbaik, dan SEO. Wappalyzer menganalisis susunan teknologi yang digunakan, seperti CMS, server web, dan framework. Sementara itu, Apache JMeter mensimulasikan beban untuk menguji ketahanan sistem back-end dan menentukan batas kapasitas pengguna bersamaan. Hasil analisis mengungkapkan beberapa aspek yang perlu ditingkatkan pada sisi performa front-end, seperti skor kecepatan yang rendah, serta potensi hambatan pada infrastruktur back-end saat menerima beban tinggi. Berdasarkan temuan tersebut, pembaruan versi teknologi disarankan untuk meningkatkan keamanan dan efisiensi. Secara keseluruhan, penelitian ini menghasilkan rekomendasi strategis yang dapat digunakan untuk mengoptimalkan website, meningkatkan skalabilitas, dan memperbaiki kualitas digital ICC Sari Mulia secara komprehensif.
Desain Rumah Pintar dengan Konsep Internet of Things Hendra Maulana; Anggit Suryan Rohyan; Satria Fajar Dwi Kurniawan; Nor Anisa
Sains Data Jurnal Studi Matematika dan Teknologi Vol 3, No 2: July-December 2025
Publisher : Institut 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 Anggit Suryan Rohyan Cecep Hilman Eka Muzalfitri Ridwan Halimatur Rahmi Hendra Maulana KHOIRUN NISA Muhammad Abdul Hamid Muhammad Maigy Pratama Prasasti Karunia Farista Ananto Rahmi, Halimatur Raudhatul Jannah Rina Rina Saprizal, Arpan Mualief Saputra, Muhammad Bayu Saputra, Muhammad Fitri Satria Fajar Dwi Kurniawan