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All Journal Rekursif: Jurnal Informatika Jurnal ASPIKOM JURNAL PENGABDIAN KEPADA MASYARAKAT Voice Of Informatics Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JSAI (Journal Scientific and Applied Informatics) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Informasi dan Terapan (J-TIT) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Technology, Informatics and Science (IJTIS) Indonesian Community Journal IJOEM: Indonesian Journal of Elearning and Multimedia Aktual : Jurnal Pengabdian Kepada Masyarakat Abdi Reksa
Nurul Renaningtias
Universitas Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Pelatihan Microsoft Office Dan Internet Trouble Shooting dalam Meningkatkan Pengetahuan Teknologi Informasi Pada Staff Sekretariat Daerah Pemerintah Kabupaten Bengkulu Tengah Putri, S.T, M.Kom, Tiara Eka Putri; Ferzha Putra Utama; Nurul Renaningtias
DHARMA RAFLESIA Vol 21 No 1 (2023): JUNI (ACCREDITED SINTA 5)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/dr.v21i1.24283

Abstract

Kegiatan pada Sekretariat Daerah Kabupaten Bengkulu Tengah sudah mulai terdigitalisasi dan online. Sebagai pendukung sarana dalam bekerja, pegawai Pemerintah Daerah Kabupaten Bengkulu Tengah dituntut menguasai Microsoft Office dan Internet Troubleshooting. Kondisi saat ini, kemampuan Staf Sekretariat daerah masih dikatakan kurang atau masih pada kemampuan dasar. Keterbatasan pengetahuan tersebut dikarenakan belum adanya pelatihan yang memadai terhadap Staf Sekretariat Daerah Pemerintah Kabupaten Bengkulu Tengah. Sehingga pelayanan kepada masyarakat dan pembuatan laporan atau surat menyurat memerlukan waktu yang lumayan lama. Oleh karena itu, Pelatihan Microsoft Office dan Internet Troubleshooting perlu diberlakukan untuk menunjang kinerja pegawai pada Staf Sekretariat Daerah Pemerintah Kabupaten Bengkulu Tengah. Metode yang dilakukan dalam pengabdian ini adalah dengan melakukan pendampingan praktik langsung kepada peserta. Pengukuran atas pemahaman terkait dengan materi yang disampaikan akan dilakukan dengan menggunakan kuesioner online.  Khalayak sasaran pada pengabdian ini adalah 22 orang Perwakilan Staf Sekretariat Daerah Pemerintah Kabupaten Bengkulu Tengah. Hasil evaluasi setelah pelatihan menyatakan 89.5% peserta mampu menggunakan fungsi mailing merge, 78.9% mampu mengoperasikan Ms.Access dan 57.9% mampu untuk menyelesaikan masalah troubleshooting pada jaringan.
Optimalisasi Pembelajaran Literasi Numerasi Melalui Pelatihan Penggunaan Website Google Sites bagi Guru Komunitas Belajar Nurul Renaningtias; Atika Susanti; Bagus Mirzana; Cahyo Prasetyo; Dwi Lestari
I-Com: Indonesian Community Journal Vol 4 No 3 (2024): I-Com: Indonesian Community Journal (September 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/icom.v4i3.5359

Abstract

The main goal of this community service activity is to enhance teachers' numeracy literacy skills through the use of Google Sites. The partner for this service activity is SDN 8 Bengkulu Tengah, Desa Rindu Hati. The method used for this community service includes the IPPE method, which comprises: (1) Needs Identification, (2) Planning, (3) Training Implementation, and (4) Evaluation. The evaluation instrument used was a test sheet. Based on the assessment results, there was a significant improvement in teachers' skills, with the average pretest score rising from 51.57 to 85.56 in the posttest. The N-Gain score averaged 0.74, which falls into the "High" category. This indicates that the community service activity successfully achieved its goal of improving teachers' ability to optimize numeracy literacy instruction through the use of Google Sites and providing a useful training module. It is recommended that teachers consistently apply the techniques and tools learned in the classroom and integrate these methods into the independent curriculum across all subjects.
Studi Komparasi Algoritma Decision Tree C4.5 dan K-Nearest Neighbor pada Klasifikasi Masa Studi dan Tingkat Stres Mahasiswa Renaningtias, Nurul; Vinalti, Gushe; Putri, Tiara Eka; Purwandari, Endina Putri; Ritonga, Yusak Stainly
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 3: Desember 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i3.2272

Abstract

This research explores the utilization of Educational Data Mining (EDM) to analyze attributes that affect students' academic performance focusing on study duration and stress levels. In this study, the performance of two classification algorithms Decision Tree C4.5 and K-Nearest Neighbor (KNN) was compared in classifying students' study duration and stress levels based on alumni data from those who graduated between 202-2023. Several variables analyzed in this dataset include gender, GPA, the number of credits taken, admission pathway, participation in organizations, and activity as an assistant. The main findings of this study indicate that gender is a significant factor in predicting students' study duration, while GPA substantially impacts students' stress levels. Regarding algorithm performance, KNN outperformed Decision Tree C4.5, achieving an accuracy rate of 71.44% for study duration classification and 64.17% for stress level classification. This research provides valuable insights for higher education institutions in formulating policies to enhance students' academic performance and well-being.Keywords: Educational Data Mining; Decision Tree C4.5; K-Nearest Neighbor; Student Study Period; Student Stress Level AbstrakPenelitian ini mengeksplorasi pemanfaatan Educational Data Mining (EDM) untuk menganalisis atribut-atribut yang memengaruhi kinerja akademik mahasiswa dengan fokus pada durasi studi dan tingkat stres. Dalam penelitian ini, kinerja dua algoritma klasifikasi yaitu Decision Tree C4.5 dan K-Nearest Neighbor dibandingkan dalam mengklasifikasikan masa studi dan tingkat stres mahasiswa berdasarkan data alumni yang lulus antara tahun 2021-2023. Variabel yang dianalisis dalam dataset ini adalah jenis kelamin, IPK, jumlah SKS yang diambil, jalur masuk, keaktifan organisasi, dan keaktifan asistensi. Temuan utama dari penelitian ini menunjukkan bahwa jenis kelamin merupakan faktor signifikan dalam memprediksi durasi studi mahasiswa, sedangkan IPK memiliki dampak substansial terhadap tingkat stres mahasiswa. Berdasarkan hasil komparasi performa algoritma, KNN lebih unggul dibandingkan Decision Tree C4.5, dengan tingkat akurasi sebesar 71,44% untuk klasifikasi durasi studi dan 64,17% untuk klasifikasi tingkat stres. Penelitian ini memberikan wawasan berharga bagi institusi pendidikan tinggi dalam merumuskan kebijakan untuk meningkatkan kinerja akademik dan kesejahteraan mahasiswa. 
The popularity of political persuasive messages among beginner voters about the 2024 election content on social media posts Gushevinalti Gushevinalti; Nurul Renaningtias
Jurnal ASPIKOM - Jurnal Ilmu Komunikasi Vol 9, No 2 (2024): Jurnal ASPIKOM
Publisher : Asosiasi Pendidikan Tinggi Ilmu Komunikasi (ASPIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24329/aspikom.v9i2.1440

Abstract

This study aims to map what social media is popular among beginner voters as a political reference for the 2024 election. Furthermore, this study will examine persuasive political messages that appeal to novice voters so that it will illustrate what message formulas are popular among novice voters. This research will use a qualitative approach with data collection methods through open questionnaires to explore informants' social media use habits, mandala interviews, and Focus Group Discussions. Informants will be selected using purposive sampling techniques, namely first-time voters who have not been used to vote in regional elections, aged 17-18 years in 2023, and who actively access political information on social media. The results of the menu research show that the message formula that gets the attention of novice voters is in a way that is not pushy or persuasive. Use slang that is easy to understand and not rigid (implicitly does not contain the candidate's vision, mission, and program). Message packaging in videos and photos is more beautiful to novice voters than text because it aligns with social media, which is generally interested in Instagram and TikTok.
Deteksi Bahasa Isyarat Indonesia (BISINDO) Pada Video dengan YOLOv7 Nurul Renaningtias; Ferzha Putra Utama; Azzahrah Nur Awaliah Sobri
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7067

Abstract

Sign language is a method of communication that does not use sound but uses physical movements such as hands, body, and lips. One of the sign languages that many deaf people use to communicate is Indonesian Sign Language (BISINDO). This study aims to implement an object detection and image classification model for BISINDO alphabet gestures using the You Only Look Once (YOLO) version 7 algorithm. This research uses video image data consisting of 26 alphabet letters. In this study, three experiments were conducted with different parameter values. Evaluation was carried out using the metrics of mean Average Precision (mAP), precision, recall, and F1-Score. Based on the experiments conducted, the best accuracy was obtained in experiment 1 with parameter values of epoch = 100, batch size = 64, learning rate = 0.001, weight decay = 0.0001, and momentum = 0.9, resulting in mAP@IoU 0.5 value of 0.995, recall 1.00, precision 1.00, F1-Score 1.00. However, it was found that in the application of the model to real-time scenarios, the detection results were not as good as the results obtained during the training process.
Child Stunting Risk Analysis through Machine Learning Models using XGBoost Algorithm Nurul Renaningtias; Atik Prihatiningrum; Hardiansyah Hardiansyah; Yudi Setiawan; Arie Vatresia
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.452

Abstract

Stunting is a chronic nutritional disorder that significantly affects child growth, development, and the overall quality of future human resources. According to the 2024 Indonesian Nutritional Status Survey (SSGI), the prevalence of stunting remains high at 19.8%, equivalent to approximately 4.48 million children under five. Early detection of stunting risk is essential for timely and data-driven interventions. This study employed the CRISP-DM methodology, encompassing business understanding, data collection, preparation, modeling, and evaluation phases. The dataset was processed through cleaning, variable encoding, and stunting status classification based on WHO standards. An XGBoost-based predictive model was developed and evaluated using accuracy, precision, recall, and F1-score metrics. The model achieved 98% accuracy in predicting stunting risk. Feature importance analysis revealed that height is the most influential variable determining stunting risk.
Solution Strategies for Digital Immigrants (Lecturers Aged 40+):  The Ethics of Students’ Use of Artificial Intelligence (AI) in Learning Gushevinalti Gushevinalti; Nurul Renaningtias
IJOEM: Indonesian Journal of E-learning and Multimedia Vol. 5 No. 2 (2026): Indonesian Journal of E-learning and Multimedia
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v5i2.670

Abstract

Background: The findings of this study provide valuable evidence and practical implications. Lecturers, as educators, must enhance their capacity to foster students' reasoning and critical thinking skills. Lecturers need to integrate the ethics of AI use into the curriculum, helping students understand the moral and academic implications of relying on AI technology.Aims: This study aims to provide solution strategies for lecturers in the use of artificial intelligence (AI) in the academic world by students.Methods: This study employed a qualitative descriptive research design. This study involved 116 student informants who completed questionnaires and eight lecturers from eight faculties at the University of Bengkulu. Data were collected through questionnaires, focus group discussions (FGDs), observations, and documentation. The data analysis technique used the Miles and Huberman analysis model.Results: AI technology has become a very popular and influential tool among students in the academic world. Chatbot-based AI was the AI tool with which students were most familiar. Students use AI when they face specific challenges or obstacles that require fast and efficient solutions. Digital immigrant lecturers do not understand AI in depth, which poses both challenges and obstacles in academic supervision.Conclusion: By investigating the use of AI among students, this study has significantly contributed to lecturers' solution-oriented actions regarding the ethical use of AI among students.
Improving Digital Literacy through Population Data Management Information System in Sawah Lebar Baru Subdistrict Bengkulu City Nurul Renaningtias; Arie Vatresia; Tiara Eka Putri; Teguh Nata Kusuma; Tanimu Adam Ibrahim
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2025): Aktual: Jurnal Pengabdian Kepada Masyarakat January 2025
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v3i1.348

Abstract

This activity aims to build a population data management information system at the website-based sub-district office. This activity is motivated by the results of observations made at the Sawah Lebar Baru District office, information governance is still carried out manually by recording in ledgers that still rely on conventional bookkeeping. This performance approach is considered less effective and efficient. This impacts public services, which take a long time and often make mistakes in recording and reporting information on the state of the community. The implementation method is identification of needs, preparation and development of the system, training and technical assistance, then implementation and monitoring. After the training, an evaluation was carried out to measure the increase in participants' knowledge and skills in using the system. Based on the post-test results, the average value was in the range of 80-90%, which indicates an increase in participants' understanding and abilities. Through this activity, population data management becomes more effective and efficient and services to the community become more optimal.
Co-Authors Annisa Fitria Edriani Arie Vatresia Arie Vatresia atik Prihatiningrum Atika Susanti Azzahrah Nur Awaliah Sobri Bagus Mirzana Boko Susilo Cahyo Prasetyo Dairoh Dairoh, Dairoh Dwi Lestari Dyah Apriliani Dyah Apriliani Dyah Apriliani Gushevinalti Gushevinalti Hardiansyah Hardiansyah Indah Dwi Jayanti Julia Purnama Sari Nabilah Ghinanti Suci Purwandari, Endina Putri Putri, S.T, M.Kom, Tiara Eka Putri Putri, Tiara Eka Ritonga, Yusak Stainly Rusdi Efendi Slamet Wiyono Tanimu Adam Ibrahim Teguh Nata Kusuma Tiara Eka Putri Utama, Ferzha Putra Vinalti, Gushe Yudi Setiawan