Article Per Year (5 Year)
p-Index From 2021 - 2026
1.116
P-Index
This Author published in this journals
All Journal JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Bulletin of Information Technology (BIT) Aptekmas : Jurnal Pengabdian Kepada Masyarakat
Yulindawati
STMIK Widya Cipta Dharma
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
PELATIHAN PENGGUNAAN APLIKASI CANVA SEBAGAI MEDIA PEMBUATAN BUKU CERITA BERGAMBAR (PICTBOOK) DI KOMUNITAS GURU KREATIF SUKA MENULIS KALIMANTAN TIMUR Siti Lailiyah; Amelia Yusnita; Yulindawati
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 6 No 2 (2023): Aptekmas Volume 6 Nomor 2 2023
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v6i2.6709

Abstract

The Canva application is a platform used for designing and is useful for honing creativity, one example of a design that can be made is an illustration. Picture story books are learning media that can improve children's reading interests and develop children's language skills. The Creative Teacher Community Likes to Write in East Kalimantan is very active in writing story books, especially children's story books, but to make illustrated illustrations very minimal, the community usually uses the services of an illustrator to help make the illustrations, and sometimes the illustrations that are made don't quite match the wishes of the author. The East Kalimantan Creative Teachers Like Writing Community has collaborated with STMIK Lecturer Widya Cipta Dharma to provide training to the community to increase knowledge about making illustrations, especially for picture storybooks. This training is a community service activity, the method used is an applied method that starts with a pretest to an assessment of the participant's ability to make picture storybooks. The training, which started from the opening to the closing, ran smoothly. This training is hoped to become a routine agenda for STMIK Widya Cipta Dharma.
Analisis Sentimen Masyarakat Terhadap Program Gratis Pol Di TikTok Menggunakan Algoritma Naive bayes Nandhita Helda Widayani; Eka Arriyanti; Yulindawati
Bulletin of Information Technology (BIT) Vol 7 No 2 (2026)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i2.2701

Abstract

The Gratis Pol Program is an educational initiative in East Kalimantan that has garnered public attention and sparked a wide range of reactions on social media, particularly TikTok. The characteristic use of informal language, abbreviations, and colloquial expressions in TikTok comments poses a challenge for sentiment analysis, necessitating a method capable of systematically classifying public opinion. This study aims to analyze public sentiment toward the Gratis Pol Program based on TikTok user comments using the Naive Bayes algorithm. The research was conducted through the stages of text preprocessing, sentiment labeling using a lexicon-based approach, feature representation using TF-IDF, and the classification process using the Naive Bayes algorithm. The research data was obtained from 13 selected TikTok videos with a total of 1,528 comments, divided into 80% training data and 20% test data. The results show that positive sentiment dominates with 722 comments, followed by 496 neutral comments and 310 negative comments. The classification model achieved an accuracy of 56%, with a macro average F1-score of 0.44 and a weighted average F1-score of 0.48. This study contributes to understanding public perception of the Gratis Pol Program and demonstrates the application of the Naive Bayes algorithm in analyzing the sentiment of social media comments that possess certain characteristics.
Analisis Dan Prediksi Hasil Pertandingan Dota 2 Menggunakan Fuzzy Tsukamoto Muhammad Arief Adidharma Tan; Yulindawati; Muhammad Fahmi
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i4.2382

Abstract

Predicting the outcome of a Dota 2 match is a complex problem because it is influenced by many dynamic variables that change at each stage of the game. This study aims to analyze and predict the probability of winning a Dota 2 match using the Fuzzy Tsukamoto method based on three main variables: Hero Win Rate, Number of Kills, and Tower Destroyed. The fuzzy model was constructed using triangular and trapezoidal membership functions, with variable weights adjusted for the early game, mid game, and late game. Test results show that in the early game, the Hero Win Rate variable has the most dominant influence on the probability of winning, with a weight of 0.7. In the mid game, the number of kills and tower destruction begin to have a significant impact, while in the late game, towers and kills become the primary determinants of the probability of winning. The proposed system is able to generate different percentages of the probability of winning at each stage of the game and logically reflect the dynamics of the Dota 2 game. Based on these results, the Fuzzy Tsukamoto method is considered capable of handling uncertainty in Dota 2 match prediction and provides more flexible results than deterministic approaches, although it still depends on the quality of the dataset and the fuzzy rules used.
Application of The Naïve Bayes Algorithm for Employee Performance Prediction Based on SIMPEG at TVRI East Kalimantan Station Ishmah Hanani; Siti Lailiyah; Yulindawati
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2294

Abstract

Employee performance evaluation is a crucial aspect of public organizational management, including at the public broadcasting institution TVRI East Kalimantan Station. To date, attendance indicators obtained from the Employee Management Information System (SIMPEG) have often been used as the primary benchmark, as the data are objectively and structurally available. However, a single attendance-based approach risks overlooking more substantive aspects of work achievement. Therefore, this study integrates attendance data with the Employee Performance Targets (SKP) to construct a more representative performance label. The method employed is a classification approach using the Naïve Bayes (GaussianNB) algorithm. The research dataset consists of attendance records (normal attendance, leave, official duty, study assignment, early departure, absence, and total working days) and quantized SKP scores. Performance labels were generated using a composite score (0.30 × attendance percentage + 0.70 × normalized SKP), which was then categorized into three classes: Excellent, Good, and Needs Improvement. The model was trained using SIMPEG and SKP data that had undergone preprocessing, data partitioning, and class balancing. Experimental results show that the model achieved an accuracy of 0.83, with a precision of 0.86, recall of 0.84, and F1-score of 0.83 on the test data. These results indicate that the model can consistently recognize employee performance patterns across all categories. Practically, this study offers a simple, efficient, and easily implementable predictive framework to support more objective processes of coaching, monitoring, and reward allocation within TVRI East Kalimantan Station.
Peningkatan Wawasan Statistika pada Siswa SMK Muhammadiyah Loa Janan Sitti Rahmah; Muh. Jamil; Aldi Bastiatul Fawait; Yudhi Fajar Saputra; Yulindawati
JURPIKAT Vol 7 No 2 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i2.3097

Abstract

Rendahnya literasi statistika siswa di SMK Muhammadiyah Loa Janan menjadi dasar pelaksanaan program Pengabdian kepada Masyarakat (PKM). Permasalahan ini penting karena penguasaan statistika merupakan bagian dari kompetensi numerasi yang diperlukan oleh lulusan SMK dalam menghadapi dunia kerja serta pengambilan keputusan berbasis data. Berdasarkan hasil observasi dan wawancara dengan guru, sebagian besar siswa masih mengalami kesulitan dalam memahami konsep dasar statistika, seperti pengumpulan, penyajian, dan interpretasi data. Kondisi tersebut dipengaruhi oleh rendahnya kemampuan dasar matematika yang berdampak pada menurunnya motivasi serta kepercayaan diri siswa dalam pembelajaran. Program ini bertujuan untuk meningkatkan literasi statistika siswa melalui pembelajaran interaktif berbasis modul kontekstual serta menilai efektivitasnya. Kegiatan melibatkan 40 siswa kelas XII, satu guru pendamping, empat dosen, dan dua mahasiswa. Tahapan kegiatan meliputi sosialisasi, pelatihan interaktif melalui diskusi, simulasi, latihan soal, serta evaluasi menggunakan post-test. Analisis data menggunakan uji chi-square (goodness of fit). Hasil menunjukkan adanya perbedaan distribusi nilai yang signifikan (χ² hitung = 26,02 > χ² tabel = 11,07; α = 0,05) dengan dominasi kategori rendah dan sedang.
Peningkatan Penjualan UMKM Melalui Implementasi Platform Digital di RT 12 Pinang Seribu, Kelurahan Sempaja Utara, Kota Samarinda Yulindawati; Siti Lailiyah; Amelia Yusnita
JURPIKAT Vol 7 No 2 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i2.3132

Abstract

Program pengabdian yang dilaksanakan ini dilatarbelakangi oleh rendahnya pemanfaatan teknologi digital oleh pelaku UMKM di RT 12 Pinang Seribu, Kelurahan Sempaja Utara, Kota Samarinda. Tujuan kegiatan ini adalah untuk meningkatkan kemampuan pelaku UMKM dalam memanfaatkan platform digital guna memperluas jangkauan pemasaran dan meningkatkan penjualan. Pelaksanaan program ini dilakukan melalui serangkaian metode, antara lain : sosialisasi, pelatihan, dan pendampingan dengan pendekatan partisipatif. Kegiatan dilaksanakan dalam satu hari dengan melibatkan 22 peserta. Analisis hasil kegiatan memperlihatkan adanya peningkatan pada aspek pemahaman dan keterampilan peserta dalam penggunaan platform digital, dengan persentase responden tertinggi sebesar 45,45% untuk kategori sangat setuju. Hal ini menunjukkan bahwa kegiatan pengabdian berkontribusi terhadap peningkatan kemampuan literasi digital dan kemampuan pemasaran UMKM secara mandiri.
Co-Authors Aldi Bastiatul Fawait Fawait Amelia Yusnita Amelia Yusnita Arriyanti, Eka Ishmah Hanani Muh. Jamil Muhammad Arief Adidharma Tan Muhammad Fahmi Nandhita Helda Widayani Siti Lailiyah Sitti Rahmah Yudhi Fajar Saputra