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PERANCANGAN SISTEM INFORMASI ALUMNI TERINTEGRASI BERBASIS WEB (STUDI KASUS DI CORPS ALUMNI HANG TUAH SURABAYA) Naufal, Dimas Fajar; Suryawinata, Mohammad; Kautsar, Irwan Alnarus
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 2 No. 2 (2021): November 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v2i2.459

Abstract

Keberadaan alumni mempunyai peran yang penting untuk instansi pendidikan. Salah satu tolak ukur kualitas suatu perguruan tinggi adalah kualitas alumninya. Karena pentingnya peran alumni, alangkah baiknya suatu perguruan tinggi memiliki sarana untuk menghubungkan alumni dengan almamaternya, baik dengan sesama alumni, dosen, maupun dengan mahasiswa perguruan tinggi yang bersangkutan. Sejak berdiri hingga saat ini Politeknik Pelayaran Surabaya telah menghasilkan ribuan alumni yang tersebar baik dalam maupun luar negeri. Namun informasi alumni tersebut belum terdata dengan rapi, karena hampir semua data masih tersimpan dalam form berbentuk kertas hingga banyak data yang hilang. Dan baru sebagian data yang sudah diinput kedalam program Microsoft Excel. Sehingga akan membutuhkan waktu yang lama dalam proses pencarian data maupun pelayanan administrasi. Penelitian ini menggunakan metode Metode waterfall dan telah dilakukan pengujian dengan metode blackbox dengan hasil semua fungsional berjalan lancar tanpa bug atau error yang ditunjukkan skor 100. Hasil aplikasi perancangan sistem informasi alumni berbasis web ini menggunakan PHP. Dengan adanya aplikasi sistem informasi alumni ini, diharapkan dapat memberikan kemudahan dalam proses pendataan serta mendapatkan informasi yang dibutuhkan tentang alumni yang baru lulus atau sudah lama lulus yang tergabung dalam Corps Alumni hang Tuah Surabaya.
Klasifikasi Kualitas Redaman Kabel Fiber Optik Berdasarkan Terminasi Menggunakan Algoritma K-Means Naufal Galfan Syah; Arif Senja Fitrani; Irwan Alnarus Kautsar; Cindy Taurusta
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1899

Abstract

This study aims to classify attenuation quality in fiber optic networks using the K-Means algorithm. The classification model is designed to group data based on the characteristics of network parameters collected from field measurements. This research also compares the performance of models built with all features and those using selected features. The evaluation uses two main metrics, Sum of Squared Errors (SSE) and Silhouette Coefficient, to assess the quality of the clustering results. Testing shows that the use of selected features produces better clusters, with an SSE of 91.75 and a Silhouette Coefficient of 0.5923, compared to using all features, which results in an SSE of 101.98 and a Silhouette Coefficient of 0.4977. These results indicate that selecting the right features can positively impact cluster quality, although it is not the sole determining factor. Overall, K-Means has been proven effective in grouping attenuation quality, making it useful for supporting efficient fiber optic network maintenance and monitoring.
Task Technology Fit in Hemodialysis Care: A Comparative Evaluation of the Renalmu.com Application in Indonesian Hospitals Nisak, Umi Khoirun; Kautsar, Irwan Alnarus; Nugroho, Yahya Arif; Aditiawardana, Aditiawardana; Al-Tameemmi, Hamid
Contagion: Scientific Periodical Journal of Public Health and Coastal Health Vol 7, No 2 (2025): CONTAGION
Publisher : Universitas Islam Negeri Sumatera Utara, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/contagion.v7i2.24100

Abstract

Hemodialysis services are essential for patients with end-stage renal disease (ESRD), offering routine treatment to sustain health and enhance quality of life. As the prevalence of ESRD continues to rise, hemodialysis units must focus on delivering high-quality care, optimizing resource management, and ensuring patient satisfaction. To support these goals, this study employs a quantitative comparative design with a cross-sectional approach to assess the effectiveness of the Renalmu.com application in hemodialysis services. The study will include 30 respondents from two hospitals, with data analysed using the Mann-Whitney U test to compare key variables. Data collection is scheduled to begin in September 2024 and conclude in March 2025. Preliminary results from the Mann-Whitney U test indicate that while both hospitals reported similar experiences across most dimensions of the Renalmu.com application, a significant difference was observed in the Task Technology Fit (TTF) dimension of data quality. Hospital 1 demonstrated superior data quality, reflected by a U-value of 56.500 and a p-value of 0.013. No significant differences were found in other TTF dimensions, including task characteristics (non-routine, interdependence), site graphic attractiveness, privacy/security, interactivity, data locability, authorization, compatibility, product timeliness, reliability, ease of use, and user relationships. These findings suggest that the primary distinction between the two hospitals lies in the effective utilization of data quality to support clinical decision-making in hemodialysis treatment Keywords: Task-Technology Fit, Dialysis, Quality Service improvement