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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) CogITo Smart Journal JurTI (JURNAL TEKNOLOGI INFORMASI) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JOISIE (Journal Of Information Systems And Informatics Engineering) Journal of Applied Engineering and Technological Science (JAETS) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Applied Data Sciences Jurnal Ipteks Terapan : research of applied science and education Journal of Informatics and Communication Technology (JICT) Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Komtekinfo Jurnal Sains dan Informatika : Research of Science and Informatic Jurnal Pengabdian Masyarakat Dharma Andalas Journal of Hypermedia & Technology-Enhanced Learning Journal of Informatics and Communication Technology (JICT) Teknologi : Jurnal Ilmiah Sistem Informasi Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer

Yesri Elva

Universitas Putra Indonesia YPTK Padang

Author-ID : 1110371

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 Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Sosialisasi Pengenalan Hadware dan Software Komputer pada Siswa SMP SAHARA Padang Novi Trisna; Yesri Elva; Annisak Izzaty Jamhur
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 2 No 4 (2022): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v2i4.317

Berkembangnya Teknologi pada saat sekarang ini, memaksa kita untuk dapat mengikuti perkembangan itu. Didalam dunia pendidikan, komputer bukan menjadi hal baru lagi, terbukti dengan banyak nya matapelajaran yang berhubungan dengan komputer. Pemanfaatan komputer telah mengubah pola hidup dan budaya manusia dalam belajar, bekerja dan berkomunikasi. Saat ini siswa siswi di sekolah-sekolah lebih banyak menggunakan komputer guna membantu memudahkan pekerjaan nya. Biasanya tugas-tugas yang dibuat lebih banyak menggunakan komputer dari pada menulis dengan kertas, selain dapat menghemat waktu, penyimpanan nya juga lebih aman. Namun, komputer tidak hanya sekedar digunakan begitu saja, tentu para siswa siswi juga harus mengetahui dan memahami bagian dari komputer tersebut, maka perlu adanya sosialisasi pengenalan hardware dan software pada siswa SMP Sahara, agar para siswa siswi bisa mendapatkan ilmu yang lebih banyak mengenai komputer. Tidak hanya sekedar membuat tugas, siswa siswi juga perlu tau komponen-komponen dasar pada komputer.

Optimization Analysis Model Determining PNMP Mandiri Loan Status Based on Pearson Correlation Teri Ade Putra; Pradani Ayu Widya Purnama; Riandana Afira; Yesri Elva
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4469

PNPM Mandiri is an organization engaged in financing small and medium enterprises in the community. The problem that always occurs is an error in determining the loan status resulting in bad credit. This study aims to present a classification analysis model for determining loan status at PNPM Mandiri. The classification analysis model was built using the Perceptron algorithm artificial neural network. The analysis model will later be optimized using the Person Correlation (PC) method to measure the accuracy of the variables used. The research dataset is based on historical data from the last 2 years as many as 67 data samples. The analysis variables consist of Business Type (X1), Loan Amount (X2), Collateral (X3), Income (X4), and Expenses (X5). The results of the analysis show that the model built can provide optimal classification results. These results can be seen based on the results of variable measurements using the PC method indicating that variable X2 has no significant relationship. With the results of these measurements, the performance of the artificial neural network presents maximum results in determining loan status. Overall, the results of this study can provide an effective analytical model as well as an alternative solution for determining loan status.

Identifikasi Penyakit Pada Kambing Kurban dengan Logika Fuzzy Raja Ayu Mahessya; Novi Trisna; Yesri Elva
SAINS DAN INFORMATIKA : RESEARCH OF SCIENCE AND INFORMATIC Vol. 8 No. 2 (2022): Jurnal Sains dan Informatika : Research of Science and Informatic
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.923 KB)

Kambing merupakan salah satu hewan ternak yang bisa dijadikan hewan kurban dengan syarat berdasarkan syariat hewan yang boleh disembelih. Akan tetapi dalam pemilihan hewan kurban umumnya masih belum tepat, karena hanya terlihat dari kasat mata, sementara pada hewan seperti kambing terdapat penyakit yang harus diperhatikan. Hewan yang akan dikurbankan harus dalam kondisi sehat dan sesuai dengan kriteria hewan yang akan dikurbankan. Untuk itu dirancang sebuah sistem bertujuan agar masyarakat bisa melakukan identifikasi penyakit pada kambing kurban dengan menggunakan logika fuzzy. Hasilnya terhindar dari penyakit kambing yang bisa merusak kesehatan. Apalagi kambing termasuk salah satu hewan penghasil sumber susu dan protein yang diminati oleh kalangan masyarakat khususnya di Indonesia. Berikut merupakan penyakit pada kambing yaitu Cacingan, Scabies, Kembung. Metode yang digunakan adalah Fuzzy Tsukomoto. Metode yang digunakan adalah R&D dan Hasil dari penelitian ini adalah sebuah sistem berbasis web yang dapat mendiagnosis dini penyakit pada kambing.

COUNTING GAME APPLICATION FOR KINDERGARTEN CHILDREN Teri Ade Putra; Raja Ayu Mahessya; Yesri Elva; Pradani Ayu Widya Purnama
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 4 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Problems The development of Information Technology plays an important role in human life. With the development of Information Technology, humans can easily get information and humans can easily carry out daily activities with the help of existing technology. Technology brings people to see the outside world further, open their minds to think, and build creativity to create new things, one of the technologies that is currently developing very rapidly is smartphone-based technology, especially Android. Many android applications are very helpful at this time such as health applications, transportation and there are also educational games. Educational games can make it easier to learn, sometimes when learning someone will be faced with conditions where it is difficult to understand the lesson, so with the educational game it is hoped that it can help users understand the lessons in the game, besides that educational games are a very fun learning tool for students. , because students will be happier and easier to understand by playing while learning

IMPLEMENTATION OF THE MOORA METHOD DETERMINING THE FEASIBILITY OF SAVING AND LOANS CONCEPT Novi Trisna; Raja Ayu Mahessya; Yesri Elva
Jurnal Ipteks Terapan Vol. 17 No. 2 (2023): Jurnal Ipteks Terapan
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22216/jit.v17i2.2108

The savings and loan cooperative “Doni Jaya Cooperative” is a savings and loan cooperative that provides solutions in helping to provide funds for various needs quickly and with an easy loan process. Associated with the loan process, many credit applicant members often complain that the credit application process is long and too convoluted. Currently, the maximum time limit from the registration stage to the credit realization stage, set by the Doni Jaya Cooperative, is a maximum of 7 (seven) working days. There are many credit arrears originating from borrowers. The increase in the ratio of delinquent loans has forced the Doni Jaya Cooperative to be more careful and selective in extending credit to its members, while the Doni Jaya Cooperative is required to cover the credit realization target every month. By applying the MOORA method in determining the recipient of a revolving capital loan at the Doni Jaya Cooperative, it makes it easier for the Cooperative to speed up the process of determining which loan recipients are eligible to get a revolving capital loan

IT Management Shapes Marketing Using React Native at Gold Konveksi Yesri Elva; Sepsa Nur Rahman; Hezy Kurnia
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.631.528-540

Gold Konveksi is a small and medium-sized enterprise (SME) engaged in the garment industry that has not yet fully utilized technology in its marketing and product promotion. As a result, Gold Konveksi's market reach has been limited. This study aims to analyze the responses from questionnaires completed by respondents, with a specific focus on respondent profiles to generate brief demographic information. The objective of this study is to assess the readiness of both employees and customers of Gold Konveksi towards the adoption of new technology. The methods used in this research include data collection through questionnaires filled out by 247 respondents. The validity and reliability of the questionnaire instruments were tested using SPSS data processing. The validity test involved applying the r-value formula, compared to the r-table value, to determine validity. The reliability test was conducted using Cronbach's Alpha value compared to the reliability threshold. Additionally, the Technology Readiness Index (TRI) was calculated to measure user readiness in adopting new technology. The results of the study indicated a high level of readiness among users. The program interface was evaluated, and system testing was conducted using black box testing to ensure its functionality. Overall, the findings of the research show a high level of readiness among users in adopting new technology, which is expected to enhance transactions and sales data recording at Gold Konveksi.

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

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

Perancangan Sistem Smart Gangguan Pada PDAM Berbasis Android Sepsa Nurrahman; Yansyah, Ilham Roni; Surmayanti; Yesri Elva
Journal of Informatics and Communication Technology (JICT) Vol. 6 No. 1 (2024)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/j_ict.v6i1.243

Perancangan Sistem Smart Gangguan Padan PDAM Berbasis Android merupakan sebuah sistem yang dirancang untuk memudahkan pengguna PDAM dalam melaporkan dan memonitor gangguan yang terjadi pada sistem PDAM. Sistem ini menggunakan platform Android sebagai antarmuka untuk pengguna. Sistem ini memiliki beberapa fitur utama, yaitu Pengguna dapat dengan mudah melaporkan gangguan yang terjadi pada sistem PDAM melalui aplikasi Android. Pengguna dapat mengisi informasi detail tentang gangguan, seperti lokasi, jenis gangguan, dan deskripsi singkat. Data gangguan yang dilaporkan akan dikirim ke sistem PDAM untuk segera ditindaklanjuti, Sistem ini juga menyediakan fitur monitoring gangguan, di mana pengguna dapat melihat daftar gangguan yang telah dilaporkan dan status penanganannya. Informasi ini ditampilkan dalam bentuk daftar yang dapat diurutkan berdasarkan prioritas atau lokasi. Pengguna juga dapat melihat detail gangguan, seperti tanggal pelaporan, status penanganan, dan catatan terkait, Sistem ini dilengkapi dengan fitur notifikasi yang akan memberitahu pengguna tentang perkembangan terkait gangguan yang dilaporkan. Pengguna akan menerima notifikasi melalui aplikasi Android atau melalui pesan teks. Dengan adanya sistem ini, diharapkan pengguna PDAM dapat dengan mudah melaporkan dan memonitor gangguan yang terjadi pada sistem PDAM. Hal ini akan mempercepat penanganan gangguan dan meningkatkan kepuasan pengguna. Selain itu, sistem ini juga memberikan data yang berguna bagi pihak PDAM untuk melakukan perbaikan dan perencanaan yang lebih efektif.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/j_ict.v6i1.243

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

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.

Co-Authors Adisti Nabila Aldo Eko Syaputra Anam, M Khairul Ayu Mahessya, Raja Dari, Rahmatia Wulan Eva Rianti Firdaus, Muhammad Bambang Gema, Rima Liana Gunawan, Chichi Rizka Ikhsan Ikhsan Ilham Roni Yansyah Ilmawati Irawan, Yudha Pratama Jamhur, Annisak Izzaty Karfindo, Karfindo Kurnia, Hezy Novi Trisna Pandu Pratama Putra, Pandu Pratama Pohan, Nurmaliana Pradani Ayu Widya Purnama Prima, Wahyu Rahman, Sepsa Nur Rahmat , Muhammad Arif Rendi Saputra Riandana Afira Rio Andika Malik Romi Hardianto Sapriadi, Sopi Sepsa Nurrahman Sepsa Rahman Surmayanti, Surmayanti Teri Ade Putra

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