Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal JSAI (Journal Scientific and Applied Informatics) Journal of Scientech Research and Development Jurnal Pengabdian Masyarakat Waradin
Dita Nurmadewi
Unknown Affiliation
Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
SEMEVAL 2017 TUGAS 4: ANALISIS SENTIMEN DI TWITTER Brian Arnesto Sitorus; Zakiul Fahmi Jailani; Dita Nurmadewi
Journal of Scientech Research and Development Vol 5 No 2 (2023): JSRD, December 2023
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v5i2.299

Abstract

Dataset SemEval yang digunakan dalam penelitian ini mencakup 11 set dataset tweet dari platform twitter yang dikumpulkan antara tahun 2013 hingga 2016. Dataset yang didapatkan masih memerlukan beberapa proses preprocessing agar kesalahan dalam dataset tersebut dapat teratasi seperti adanya tweet yang dipisahkan mengggunakan tab dan koma, sehingga dalam satu dataset dapat memuat beberapa tweet yang saling bertumpuk. Dikarenakan ada 2 dataset yang memiliki terlalu banyak kesalahan performattan, hanya 9 set dataset yang digunakan dalam penelitian ini. Pada proses praprocessing, kesalahan dalam dataset dianalisis menggunakan library Spacy, selanjutnya tanda @mention yang merujuk kepada username yang dimention dalam tweet tersebut dihapus, lemmatisasi dilakukan dengan menggunakan Spacy, serta karakter yang tidak sesuai dengan ejaan standar dihapuskan. Terdapat tiga kelas diadalam dataset tersebut yaitu neutral, positive dan negative, namun antara ketiga kelas ini memiliki proporsi jumlah yang tidak seimbang. Ketika proporsi dataset tidak seimbang, pada proses training akan menghasilkan model machine learning yang bias pada kelas set yang paling mayoritas. Untuk mengatasi kendala bias ini , maka teknik oversampling dan undersampling diterapkan. Ketika mengimplementasikan kedua teknik ini, metode SMOTE dari teknik oversampling memiliki performa yang terbaik dibandingkan metode lainnya. Selanjutnya, beragam classifier telah diuji bersamaan dengan SMOTE, dan Logistic Regression menunjukkan performa yang paling superior.
Perancangan dan Implementasi Intelligence Human Capital Development Plan untuk Jabatan Fungsional Kepegawaian Dita Nurmadewi; Elin Cahyaningsih; Randi Sunardi; Akbarnama Tangguh Dipantara
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.v8i1.7888

Abstract

Effective human resource management is an important key to improving organizational performance, especially in the government sector such as the State Civil Service Agency (BKN). This research focuses on the development of a website-based Intelligent Human Capital Development Plan (IHCDP) that utilizes the latest information technology, including PHP, JavaScript, and SQL, to dynamically identify, analyze, and meet employee training and development needs based on integrated data performance and training needs. The approach used in this study is the waterfall method, where each stage from design to implementation is carried out regularly and in a structured manner. The developed system allows real-time visualization of employee performance data, as well as analysis of training needs needed to improve employee competency in accordance with BKN's strategic objectives. The results of this study indicate that the implementation of IHCDP at BKN can increase efficiency in identifying specific training needs, aligning competency development with organizational goals, and significantly strengthening employee capacity in facing changes and challenges in the work environment. The use of information technology in this system also encourages the creation of transparency and accountability in human resource management in the BKN environment. Recommendations for developing features can later be developed into a dashboard to view the history of competency results carried out every two years at each level of office.
Pelatihan Penggunaan Aplikasi Mobile Standar Akuntansi Keuangan Entitas Mikro, Kecil, dan Menengah di Galleries Abata Dita Nurmadewi; Jurica Lucyanda; Anastasya Andriarti; Haris Rafi; Ni Kadek Srimanik; Komang Ayu Sumariasih
Jurnal Pengabdian Masyarakat Waradin Vol. 5 No. 3 (2025): September : Jurnal Pengabdian Masyarakat Waradin
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/wrd.v5i3.786

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in supporting the national economy, yet they still face challenges, particularly in maintaining financial records and reporting in accordance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). Abata Galleries MSME, as the partner in this activity, previously did not have a structured financial recording system, thus requiring technology-based assistance. This training activity aims to strengthen financial literacy and bookkeeping skills through the use of the KASIU mobile application based on SAK EMKM. The methods applied included a pre-test, material presentation, hands-on practice with the application, a post-test, and an evaluative discussion. The results of the activity indicate a significant improvement in participants’ understanding of SAK EMKM as well as their skills in preparing financial reports in accordance with the standards using the KASIU application. Participants who previously had no knowledge of SAK EMKM are now able to comprehend and implement standardized financial recording. This activity also fostered behavioral changes, particularly the awareness of the importance of maintaining structured daily records, thereby supporting transparency, accountability, and business sustainability.
Co-Authors Akbarnama Tangguh Dipantara Anastasya Andriarti Brian Arnesto Sitorus Elin Cahyaningsih Haris Rafi Jurica Lucyanda Komang Ayu Sumariasih Ni Kadek Srimanik Randi Sunardi Zakiul Fahmi Jailani