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All Journal Jurnal ULTIMA InfoSys Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) G-Couns: Jurnal Bimbingan dan Konseling
Andry Ananda Putra Tanggu Mara
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Computer Science & IT Education Physics Other

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K-Nearest Neighbors Algorithm to Student Opinion of the Online Learning Method at Wira Wacana Sumba Christian University Andry Ananda Putra Tanggu Mara; Eko Sediyono; Hindriyanto Purnomo
ULTIMA InfoSys Vol 12 No 2 (2021): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v12i2.2090

Abstract

The education sector is one of the areas that has felt the major impact of the Covid-19 pandemic. The impact that arises is teaching and learning process must be carried out from home using the online learning method. This teaching and learning method raises a variety of responses from students. This is what makes researchers analyze these views, both in the form of positive opinions or negative opinions. The analysis process is carried out by applying sentiment analysis or opinion mining from the comment on Facebook, text mining is processed using the prepocessing method, labeled it to positive and negative. Based on the available data, a classification process is carried out using the K-Nearest Neighbors algorithm. Rapid Miner is used to experiment text data with the KNN algorithm in order to find the value of accuracy, precision and recall. From the results of research, it was obtained a value of 87.00% for accuracy and 0.916 for the AUC value. The values ​​are high enough for the classification of student opinion against this pandemic so that this research is classified as Excellent Classification.
Analisis Sentimen Dampak Perkembangan Teknologi Informasi dan Komunikasi Terhadap Kemajuan Belajar Siswa SMK Rada Pamba dengan Metode Naive Baiyes Oktavianus Kaka; Andry Ananda Putra Tanggu Mara; Karolus Wulla Rato
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 6 No. 3 (2023): Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analisis sentimen adalah proses mengumpulkan, mengidentifikasi, dan mengevaluasi opini, pandangan, atau emosi yang terkandung dalam teks, seperti ulasan, komentar, atau posting media sosial. Tujuan utama dari analisis sentimen adalah untuk memahami bagaimana orang merasakan atau berpikir tentang suatu topik tertentu. Teknologi Informasi dan Komunikasi (TIK) merujuk pada kumpulan teknologi yang digunakan untuk mengumpulkan, mengolah, menyimpan, mengirim, dan menerima informasi secara digital. TIK melibatkan penggunaan perangkat keras (hardware) seperti komputer, perangkat mobile, jaringan komunikasi, serta perangkat lunak (software) untuk mengelola dan mengolah informasi. Naive Bayes adalah sebuah metode statistik yang digunakan dalam bidang pembelajaran mesin dan pengenalan pola untuk melakukan klasifikasi dan prediksi berdasarkan teorema Bayes. Metode ini memanfaatkan konsep probabilitas untuk mengklasifikasikan data ke dalam kategori atau kelas yang berbeda. RapidMiner adalah platform analisis data yang populer digunakan untuk mengolah data, menganalisis pola, dan menghasilkan wawasan yang berharga.RapidMiner menyediakan antarmuka grafis yang intuitif yang memungkinkan pengguna untuk melakukan tugas seperti preprocessing data, eksplorasi data, pemodelan prediktif, dan analisis statistik tanpa perlu menulis kode pemrograman secara langsung.
Older Sibling or Younger Sibling? The Dynamics of Self-Confidence and Emotional Stability Among University Students in Wetland Communities Setiawan, Muhammad Andri; Sari, Nina Permata; Suryo Putro, Hendro Yulius; Andry Ananda Putra Tanggu Mara
G-Couns: Jurnal Bimbingan dan Konseling Vol. 10 No. 01 (2026): January 2026, G-Couns: Jurnal Bimbingan dan Konseling
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/g-couns.v10i01.8381

Abstract

This study investigates the impact of birth order on self-confidence and emotional stability among university students residing in wetland communities. Using a quantitative survey design, 200 students, comprising 100 firstborns and 100 lastborns, from Lambung Mangkurat University were assessed using the Edwards Personal Preference Schedule (EPPS). Descriptive statistics, Mann-Whitney tests, and Structural Equation Modelling (SEM) were used to analyze the data. Results indicated that firstborn students exhibited significantly higher self-confidence (M = 3.57, SD = 1.26) and emotional stability (M = 3.43, SD = 1.26) than lastborns (p < .05). Family expectations and academic experiences emerged as key influences. SEM revealed that self-confidence strongly predicts emotional stability (β = 0.52, p < .001), with family background and educational experience having moderate effects. The findings underscore the psychological challenges faced by students in geographically isolated, resource-limited wetland environments. Tailored counseling interventions are recommended, particularly for lastborn students. Future research should investigate the intersection of cross-cultural and environmental factors. Keywords: self-confidence, emotional stability, birth order, wetland communities, Edwards Personal Preference Schedule (EPPS)
Co-Authors Eko Sediyono Hendro Yulius Suryo Putro Hindriyanto Dwi Purnomo Karolus Wulla Rato Nina Permata Sari Oktavianus Kaka Setiawan, Muhammad Andri