Article Per Year (5 Year)
p-Index From 2021 - 2026
0.947
P-Index
This Author published in this journals
All Journal JOISIE (Journal Of Information Systems And Informatics Engineering) Journal of Applied Data Sciences Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Pengabdian Masyarakat Dharma Andalas Journal of Hypermedia & Technology-Enhanced Learning
Elva, Yesri
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Sosialisasi Pembuatan Soal Ulangan Harian Dengan Menggunakan Google Form Pada Guru SMP 17 Padang Elva, Yesri; Trisna, Novi; Jamhur, Annisak Izzaty
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 2 No 2 (2024): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v2i1.1217

Abstract

Google Form provides great benefits for teachers or teaching staff, namely Google Form, where Google Form is a service that makes it easy for users to carry out surveys and can even create exam questions. This online form is based on questions or questionnaires that can be customized by the creators. Google form is an effective and practical service for obtaining certain information. The Google form application is one application that is very useful in compiling a list of participant attendance. The things entered in the Google form include name, email, agency of origin, cellphone number, and other items that may be needed. Google Form is a component of the Google Docs service. This application is very suitable for students, teachers, lecturers, office workers and professionals who like making online quizzes, forms and surveys. By using this Google program, the teacher only needs to send a link to the students and then the students will answer questions directly on the Google form
Optimizing Scholarship Recipient Selection in Vocational High Schools: A Strategic Approach with the Simple Additive Weighting (SAW) Method Dari, Rahmatia Wulan; Ilmawati; Elva, Yesri
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 2 (2024): Journal of Hypermedia & Technology-Enhanced Learning—Meta World
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i2.114

Abstract

This study aims to address issues in the scholarship recipient selection process in vocational high schools (SMK). The main challenge lies in the limited availability of scholarship, necessitating careful selection. The objective of this study is to implement the Simple Additive Weighting (SAW) method as a solution to enhance the structure, efficiency, and objectivity of the selection process. The SAW method is used as the primary approach, which involves steps such as determining the criteria, assigning preference weights, and ranking alternatives. The data used included a sample of five scholarship candidates from SMK N 1 Hiliran Gumanti, with the criteria divided into benefits and costs. The results of the selection of scholarships demonstrate the success of SAW in providing rankings according to predefined criteria. This research highlights the effectiveness of the SAW method in delivering objective rankings to scholarship candidates. The final results can help the selection team to determine the best scholarship recipients. The implementation of SAW is expected to create a more structured and efficient selection system at the SMK, opening opportunities for improved educational access for financially needy students.
Enhancing the Performance of Machine Learning Algorithm for Intent Sentiment Analysis on Village Fund Topic Anam, M. Khairul; Putra, Pandu Pratama; Malik, Rio Andika; Karfindo, Karfindo; Putra, Teri Ade; Elva, Yesri; Mahessya, Raja Ayu; Firdaus, Muhammad Bambang; Ikhsan, Ikhsan; Gunawan, Chichi Rizka
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.637

Abstract

This study explores the implementation of Intent Sentiment Analysis on Twitter data related to the Village Fund program, leveraging Multinomial Naïve Bayes (MNB) and enhancing it with Synthetic Minority Over-sampling Technique (SMOTE) and XGBoost (XGB). The analysis categorizes tweets into six labels: Optimistic, Pessimistic, Advice, Satire, Appreciation, and No Intent. Initially, the MNB model achieved an accuracy of 67% on a 90:10 data split. By applying SMOTE, accuracy improved by 12%, reaching 89%. However, adding Chi-Square feature selection did not increase accuracy further. Incorporating XGB into the MNB+SMOTE model led to a 6% improvement, achieving a final accuracy of 95%. Comprehensive model evaluation revealed that the MNB+SMOTE+XGB model achieved 96% accuracy, 96% precision, 96% recall, and a 96% F1-score, with an AUC of 99%, categorizing it as excellent. These findings demonstrate that the combination of SMOTE for addressing class imbalance and XGBoost for boosting performance significantly enhances the MNB model's classification capabilities. The novelty lies in the integration of these techniques to improve intent sentiment classification for public opinion analysis on the Village Fund program. The results indicate that the majority of tweets labeled as "No Intent" reflect a lack of specific sentiment or actionable intent, providing valuable insights into public perception of the program.
OPTIMASI PERSEDIAAN PRODUK PENJUALAN MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY Irawan, Yudha Pratama; Gema, Rima Liana; Elva, Yesri
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 1 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i1.4276

Abstract

Toko Lankitank merupakan salah satu toko yang terkenal di Kabupaten Pasaman karena toko ini menjual berbagai macam kebutuhan pria seperti pakaian, sepatu, sandal, tas dan perlengkapan olah raga. Toko ini banyak dikunjungi oleh berbagai kalangan masyarakat karena letaknya yang strategis namun toko tersebut tidak dapat memaksimalkan ketersediaan barang karena tidak mengetahui kapan barang harus dipesan kembali dan toko sering mengalami penumpukan barang di gudang sehingga menyebabkan kerugian. Oleh karena itu peneliti menggunakan metode IT Business Management dan Economic Order Quantity (EOQ) untuk memaksimalkan ketersediaan barang dan menghindari penumpukan barang di gudang. EOQ merupakan nilai jumlah bahan yang dibutuhkan pada setiap pembelian dengan menggunakan biaya yang paling ekonomis. Dalam penelitian ini menghasilkan jumlah biaya persediaan dengan menggunakan metode EOQ pada simulasi untuk data pertama yaitu sebesar Rp 1.294.555 sedangkan jumlah biaya persediaan dengan pemesanan di atas metode EOQ adalah sebesar Rp 1.371.307. Terdapat selisih sebesar Rp 76.752 Metode EOQ mampu menghasilkan penghematan total biaya persedian untuk simulasi data pertama yaitu sebesar 0,06%. Dengan ini diharapkan toko setelah diterapkannya IT Business Management dan Economic Order Quantity dapat mengatasi permasalahan yang ada pada objek penelitian.
Penerapan Metode Importance Performance Analysis (IPA) Untuk Mengukur Kualitas Sistem Informasi Ulangan Harian: Studi Kasus : SMA N 1 Batang Anai Elva, Yesri; Jamhur, Annisak Izzaty; Rahman, Sepsa Nur
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 1 No 1 (2021): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (539.16 KB) | DOI: 10.55382/jurnalpustakadata.v1i1.56

Abstract

SMA N 1 Batang Anai merupakan salah satu sekolah yang sudah menerapkan teknologi dalam bidang pendidikan dengan sebaik-baiknya. Sekolah tersebut membangun sistem informasi yang diberi nama BeeSmart, yang merupakan sistem informasi pertama yang digunakan di sekolah tersebut untuk siswa dan guru dalam melaksanakan ulangan harian secara terkomputerisasi. BeeSmart tersebut diharapkan dapat menjadi pedoman untuk sekolah lain yang belum menerapkan teknologi dalam pembelajaran, oleh karena itu sebagai pelopor sistem informasi ulangan harian BeeSmart tentu harus memenuhi standar kualitas sistem yang baik dan jauh dari kekurangan. Dengan menggunakan metode yang ada, maka kualitas dari sistem informasi ulangan harian ini dapat diukur dan diperbaiki lebih baik.
Co-Authors Anam, M Khairul Dari, Rahmatia Wulan Firdaus, Muhammad Bambang Gema, Rima Liana Gunawan, Chichi Rizka Ikhsan Ikhsan Ilmawati Irawan, Yudha Pratama Jamhur, Annisak Izzaty Karfindo, Karfindo Mahessya, Raja Ayu Malik, Rio Andika Pandu Pratama Putra, Pandu Pratama Rahman, Sepsa Nur Teri Ade Putra Trisna, Novi