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All Journal INTECOMS: Journal of Information Technology and Computer Science International Journal Software Engineering and Computer Science (IJSECS)
Arpinda, Arpinda
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Computer Science & IT

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Sistem E-Voting Berbasis Web Sebagai Inovasi Dalam Proses Pemilihan Ketua RT 01 RW13 Malaka Jaya Rasiban, Rasiban; Arpinda, Arpinda; Susanto, Hermawan; Adnan, Kemal
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/3epdg417

Abstract

Pemilihan Ketua RT merupakan aktivitas penting dalam pengelolaan masyarakat, namun metode tradisional menggunakan kertas suara sering menghadapi kendala efisiensi, transparansi, dan partisipasi warga. Untuk mengatasi tantangan ini, kegiatan pengabdian kepada masyarakat bertujuan mengembangkan sistem e-voting berbasis web menggunakan framework Laravel dan PHPMyAdmin sebagai sistem manajemen basis data. Sistem ini dirancang untuk meningkatkan efisiensi, keandalan, dan transparansi dalam pemilihan Ketua RT 01 RW 13 Malaka Jaya. Metode pelaksanaan kegiatan melibatkan pendekatan rekayasa perangkat lunak dengan metode System Development Life Cycle (SDLC), yang mencakup tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan evaluasi. Tahap analisis kebutuhan dilakukan melalui wawancara dengan warga dan pengurus RT untuk memastikan sistem memenuhi kebutuhan teknis dan fungsional. Perancangan sistem menggunakan Laravel sebagai backend, Blade Template Engine untuk frontend, dan MySQL melalui PHPMyAdmin untuk pengelolaan basis data. Implementasi teknologi melibatkan HTML5, CSS3, JavaScript, serta enkripsi bcrypt dan SSL untuk keamanan data. Pengujian dilakukan menggunakan metode black-box testing, melibatkan 50 warga sebagai simulasi. Hasil kegiatan menunjukkan bahwa sistem e-voting berbasis Laravel dan PHPMyAdmin mampu mempercepat proses pemungutan dan perhitungan suara, meningkatkan partisipasi warga hingga 30%, serta memberikan keamanan data yang lebih baik dibandingkan metode tradisional. Sistem ini terbukti menjadi solusi yang efisien, aman, dan transparan dalam pemilihan Ketua RT, meningkatkan kepercayaan warga terhadap proses pemilu. Studi kasus ini memberikan kontribusi signifikan dalam mendorong adopsi teknologi digital dalam tata kelola masyarakat. Kata Kunci: Sistem, E-Voting, Inovasi, Pemilihan Ketua RT RW, Web-Based
Decision Tree-Based Potential Athletics Athlete Selection System for PASI DKI Jakarta Sugiyono, Sugiyono; Arpinda, Arpinda
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5242

Abstract

Selection of athletes in competitive sports is mostly based on subjective judgments; therefore, it results in inconsistency. This research presents a classification model that will help to measure the potential of athletes using the Decision Tree algorithm by utilizing real competition data from PASI DKI Jakarta. The dataset used consists of 450 records of athletes with attributes such as race category, time records, and ranking information. The analysis was performed based on the CRISP-DM framework which comprises six stages: business understanding, data exploration, preparation, modeling, evaluation, and deployment. Development and testing of the model were carried out in RapidMiner software using a 10-fold cross-validation technique. It achieved an accuracy of classification equal to 92.22% with a standard deviation of ±5.37%. The performance metrics show precision rates at 96.88% for High, 78.95% for Medium, and 94.87% for Low classes; while recall values are 100%, 88.24%, and 88.10%, respectively. The decision tree model generated specifies ranking as the root node meaning that this attribute has the highest influence on class separation among other attributes in this dataset. There are three classification rules produced by this model: ranking ≤3.500 is classified into high potential; between 3.500-6.500 belongs to medium potential; otherwise greater than 6.500 will be classified into low potential which can be applied practically as a decision support system enabling coaches to perform objective systematic data-driven processes in selecting athletes
Co-Authors Adnan, Kemal Hermawan Susanto Rasiban Sugiyono Sugiyono