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All Journal Indonesian Journal of Applied Informatics IC Tech: Majalah Ilmiah IC Tech: Majalah Ilmiah
Nurul Amalia
Institut Widya Pratama
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Other

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Penerapan Algoritma K-Means Clustering untuk Klasterisasi Pola Kehadiran Pegawai Anom Danang Sumantri; Sattriedi Wahyu Binabar; Nurul Amalia
IJAI (Indonesian Journal of Applied Informatics) Vol 10, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v10i1.110323

Abstract

Abstrak : Analisis pola kehadiran pegawai merupakan langkah penting dalam memahami karakteristik perilaku waktu kehadiran di lingkungan kerja. Penelitian ini bertujuan untuk menganalisis pola kehadiran pegawai berdasarkan data absensi pegawai menggunakan algoritma K-Means clustering. Tahapan penelitian meliputi pengumpulan data, pra-pemrosesan data, klasterisasi, evaluasi dan visualisasi. Data absensi selama tiga bulan diolah melalui tahap pembersihan, diskretisasi, pembentukan, pembuatan atribut baru dan normalisasi untuk memastikan kualitas data. Proses klasterisasi dilakukan dengan jumlah 3 klaster bedasarkan hasil metode elbow. Evaluasi model menggunakan metode Davies–Bouldin Index (DBI) menghasilkan nilai sebesar 0,743. Hasil klasterisasi kemudian divisualisasikan menggunakan Power BI untuk mempermudah interpretasi pola kehadiran. Berdasarkan hasil tersebut, diperoleh 3 pola waktu kehadiran utama yaitu waktu kehadiran baik, cukup, dan kurang yang menggambarkan perbedaan karakteristik waktu kehadiran pegawai secara lebih jelas. Hasil penelitian ini memberikan pemahaman menyeluruh mengenai pola waktu kehadiran pegawai yang dapat dijadikan dasar untuk analisis lebih lanjut, seperti evaluasi kinerja dan kedisplinan.====================================================Abstract :Analysis of employee attendance patterns is an important step in understanding the characteristics of attendance behavior in the work environment. This study aims to analyze employee attendance patterns based on attendance data using the K-Means clustering algorithm. The research stages include data collection, data pre-processing, clustering, evaluation and visualization. Attendance data for 3 months is processed through the stages of cleaning, discretion, creation of new attributes and normalization to ensure data quality. The clustering process was carried out with a total of 3 clusters based on the results of the elbow method. The model evaluation using the Davies–Bouldin Index (DBI) method yielded a value of 0.743. The clustering results are then visualized using Power BI to make it easier to interpret attendance patterns. Based on these results, 3 main attendance time patterns were obtained, namely good, sufficient, and poor attendance time which depicts the differences in the characteristics of employee attendance time more clearly. The results of this study provide a comprehensive understanding of the pattern of employee attendance time which can be used as a basis for further analysis, such as performance and discipline evaluation.
OPTIMALISASI USER EXPERIENCE MELALUI PENDEKATAN USER-CENTERED DESIGN DAN QUIM EVALUATION UNTUK PERANCANGAN USER INTERFACE E-RT Nurul Amalia; Bambang Ismanto; Nur Ika Royanti
IC Tech: Majalah Ilmiah Vol 21 No 2 (2026): IC Tech: Majalah Ilmiah Volume XXI No. 2 Oktober 2026
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v21i2.434

Abstract

The development of digital technology has encouraged villages to adopt the smart village concept to improve the quality of public services and community participation. However, most existing village service applications still face challenges in terms of user interfaces that are less intuitive, thereby reducing their effectiveness and usability. This study aims to optimize user experience through the application of the User-Centered Design (UCD) approach and the evaluation of interface quality using the Quality in Use Integrated Measurement (QUIM) method in the design of the E-RT system user interface. The UCD approach was employed to identify user needs through several stages, including identification of the context of use, requirements analysis, solution design, and evaluation based on user feedback. Subsequently, the QUIM method was applied to measure the system's usability quality based on indicators of efficiency, effectiveness, satisfaction, and ease of use. The results show that the implementation of UCD was able to address problems in RT administrative management that had previously been conducted manually. By involving users from the stages of requirements identification, interface design, evaluation, and design improvement, the resulting interface was better aligned with the actual needs of the two main user groups, namely residents and RT administrators. Based on the QUIM evaluation using ten indicators, the assessment by residents showed consistent results, with the scores for Efficiency, Effectiveness, Productivity, Satisfaction, Learnability, Safety, Trustfulness, Accessibility, and Universality ranging from 3.41 to 4.20, which falls within the high category. Meanwhile, the evaluation conducted among RT administrators using the same indicators resulted in scores ranging from 4.21 to 5.00, which falls within the very high category. These findings indicate that the combination of UCD and QUIM can effectively support the development of a user interface that is more usable, user-oriented, and aligned with the needs of smart village services.
OPTIMALISASI USER EXPERIENCE MELALUI PENDEKATAN USER-CENTERED DESIGN DAN QUIM EVALUATION UNTUK PERANCANGAN USER INTERFACE E-RT Nurul Amalia; Bambang Ismanto; Nur Ika Royanti
IC Tech: Majalah Ilmiah Vol 21 No 2 (2026): IC Tech: Majalah Ilmiah Volume XXI No. 2 Oktober 2026
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v21i2.434

Abstract

The development of digital technology has encouraged villages to adopt the smart village concept to improve the quality of public services and community participation. However, most existing village service applications still face challenges in terms of user interfaces that are less intuitive, thereby reducing their effectiveness and usability. This study aims to optimize user experience through the application of the User-Centered Design (UCD) approach and the evaluation of interface quality using the Quality in Use Integrated Measurement (QUIM) method in the design of the E-RT system user interface. The UCD approach was employed to identify user needs through several stages, including identification of the context of use, requirements analysis, solution design, and evaluation based on user feedback. Subsequently, the QUIM method was applied to measure the system's usability quality based on indicators of efficiency, effectiveness, satisfaction, and ease of use. The results show that the implementation of UCD was able to address problems in RT administrative management that had previously been conducted manually. By involving users from the stages of requirements identification, interface design, evaluation, and design improvement, the resulting interface was better aligned with the actual needs of the two main user groups, namely residents and RT administrators. Based on the QUIM evaluation using ten indicators, the assessment by residents showed consistent results, with the scores for Efficiency, Effectiveness, Productivity, Satisfaction, Learnability, Safety, Trustfulness, Accessibility, and Universality ranging from 3.41 to 4.20, which falls within the high category. Meanwhile, the evaluation conducted among RT administrators using the same indicators resulted in scores ranging from 4.21 to 5.00, which falls within the very high category. These findings indicate that the combination of UCD and QUIM can effectively support the development of a user interface that is more usable, user-oriented, and aligned with the needs of smart village services.
Co-Authors Anom Danang Sumantri Bambang Ismanto Nur Ika Royanti Sattriedi Wahyu Binabar