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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia
Pilliang, Marzuki
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Humanities Computer Science & IT Education Engineering Other

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Studi Komparasi Naive Bayes, K-Nearest Neighbor, dan Random Forest untuk Prediksi Calon Mahasiswa yang Diterima atau Mundur Sejati, Puteri; Munawar, Munawar; Pilliang, Marzuki; Akbar, Habibullah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 7: Spesial Issue Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN) 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022976737

Abstract

Penelitian ini bertujuan untuk mendapatkan model prediksi terbaik dari data Penerimaan Mahasiswa Baru tahun 2014 hingga 2019 dengan membandingkan Naive Bayes, K-Nearest Neighbor, dan Random Forest. Penelitian ini menggunakan metode klasifikasi untuk memprediksi calon mahasiswa. Mereka diterima atau  mundur. Dalam penelitian ini digunakan 19.603 data latih dan 4.901 data uji. Hasil penelitian menunjukkan bahwa algoritma Random Forest adalah yang terbaik dengan akurasi 73,61%, dibandingkan dengan K-Nearest Neighbor dengan akurasi 72,08%, dan Naive Bayes dengan akurasi 70,47%. Disimpulkan juga bahwa optimasi model dengan teknik Hyperparameter menghasilkan nilai akurasi yang lebih baik. Hasil penelitian ini dapat digunakan untuk mendukung bagian pemasaran dalam meminimalisir jumlah calon mahasiswa yang mengundurkan diri. AbstractThis study aimed to obtain the best predictive model from New Student Admissions data for 2014 to 2019 by comparing Naive Bayes, K-Nearest Neighbor, and Random Forest. This study used the classification method to predict prospective students. They are accepted or withdrawn. In this study, 19,603 training data and 4,901 test data were used. The results showed that the Random Forest algorithm was the best with an accuracy of 73.61%, compared to K-Nearest Neighbor with an accuracy of 72.08%, and Naive Bayes with an accuracy of 70.47%. It is also concluded that optimizing the model with the Hyperparameter technique produces better accuracy values. This study's results can be used to support the marketing department in minimizing the number of withdrawn prospective students.
Pemberdayaan Kader Posyandu melalui Sistem Informasi Gizi Komplementer untuk Peningkatan Kualitas MP-ASI Paundrianagari, Meilita Dwi; Amir, Chindy; Pilliang, Marzuki
Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Vol. 4 No. 3 (2025): Ekalaya Journal
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/eka.v4i3.148

Abstract

Indonesia still faces serious challenges related to nutrition problems in children, with the prevalence of stunting still high. Quality Complementary Feeding of Breast Milk (MP-ASI) plays a crucial role in supporting the optimal growth and development of toddlers. However, many mothers have difficulty in providing MP-ASI that meets nutritional standards, due to a lack of knowledge, limited resources, and limited access to information. Posyandu cadres as the spearhead of public health services have a central role in providing education and assistance to mothers under five. However, they often face limited knowledge and access to adequate information related to nutrition. This research aims to empower Posyandu cadres through the implementation of a complementary nutrition information system. The methods used include intensive training, mentoring, and the development of a web-based information system that is easy to access and use. The results of the study showed a significant increase in the knowledge and skills of cadres about nutrition, as well as an improvement in the quality of MP-ASI provided by mothers under five. Information systems have proven to be effective in facilitating knowledge transfer, facilitating access to information, and improving the efficiency of cadres' work. The conclusion of this study is that the empowerment of Posyandu cadres through a complementary nutrition information system is an effective strategy to improve the quality of MP-ASI and ultimately contribute to reducing stunting and improving the quality of human resources in Indonesia. Recommendations include expanding the implementation of information systems in various regions, improving training and mentoring of cadres, and developing more comprehensive information content.
Optimasi Performa Web Service melalui Penguatan Logika Asynchronous JavaScript for Server-Side Development pada Pelatihan Nasional Bangkit 2024 Batch 2 Pilliang, Marzuki; Khaerani A, Afifah
Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Vol. 4 No. 3 (2025): Ekalaya Journal
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/eka.v4i3.150

Abstract

Web service efficiency in handling concurrent requests is a crucial parameter in large-scale application development. Server-side JavaScript, through Node.js, offers a solution via non-blocking architecture, yet its effectiveness heavily depends on the precision of asynchronous logic implementation by the developer. This Community Service (PkM) activity aims to optimize students' technical abilities in building high-performance web services within the 2024 Bangkit Academy Batch 2 Program. The implementation method was conducted through a national online workshop emphasizing asynchronous design patterns, event loop management, and race condition mitigation techniques. The results indicate an increase in participants' capabilities to reduce system latency through the efficient use of Promises and Async-Await. Technical evaluations prove that strengthening this logic not only enhances code execution speed but also ensures the reliability of web services in handling intensive workloads according to global financial and technology industry standards.
Akselerasi Kompetensi Backend Developer melalui Penguatan Logika Asynchronous JavaScript for Server-Side Development pada Program Bangkit Academy Batch 1 Tahun 2024 Pilliang, Marzuki; Khaerani A, Afifah
Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Vol. 4 No. 3 (2025): Ekalaya Journal
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/eka.v4i3.151

Abstract

The dominance of JavaScript in the modern web development ecosystem requires backend developers to master non-blocking programming paradigms to build scalable systems. However, the complexity of asynchronous logic often poses a cognitive barrier for novice developers in managing intensive I/O operations. This Community Service (PkM) activity aims to accelerate the technical competencies of student participants in the 2024 Bangkit Academy Batch 1 Program by strengthening Asynchronous JavaScript concepts on the server side. The implementation method was conducted online nationwide through expert-led instruction sessions, code reviews, and the implementation of callbacks, promises, and async-await within the Node.js environment. The results of the activity indicate a significant increase in participants' capabilities to design efficient and low-latency server workflows. Project-based evaluations prove that a profound understanding of asynchronous logic successfully enhances code quality and participants' technical readiness to face application development challenges at global industry standards.
Co-Authors Akbar, Habibullah Amir, Chindy Khaerani A, Afifah Munawar Paundrianagari, Meilita Dwi Sejati, Puteri