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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknologi Informasi MURA JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pengabdian kepada Masyarakat Nusantara RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Information Technology (BIT) Bulletin of Information System Research
Intan, Bunga
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences Other

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SISTEM INFORMASI PERPUSTAKAAN PADA SMA NEGERI JAYALOKA BERBASIS WEB DAN BARCODE SCANNER Irawan, Davit; Intan, Bunga; Astuti, Endang Tri
Jurnal Teknologi Informasi Mura Vol 14 No 2 (2022): Jurnal Teknologi Informasi Mura Desember
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v14i2.1826

Abstract

Pada penelitian ini di ketahui bahwa perpustakaan SMAN Jayaloka memiliki permasalahan yaitu pada proses peminjaman dan pengembalian buku yang dimana pada prosesnya masih dilakukan secara manual dengan cara pencatatan sehingga pada prosesnya akan membutuhkan waktu yang cukup lama dalam pengolahan data-data tersebut. Hasil dari penelitian menunjukkan bahwa program sistem informasi perpustakaan pada SMA Negeri Jayaloka berbasis web mobile dan barcode scanner merupakan suatu sistem informasi yang dapat membantu dalam proses perminjaman dan pengembalian buku dan pembuatan laporan, dan dalam pembuatan sistem menggunakan bahasa pemograman PHP dan database MySQL serta Notepad++ dalam penulisan code program. Kesimpulan dalam penelitian ini adalah bahwa sistem informasi perpustakaan pada SMA NegerI Jayaloka berbasis web mobile dan barcode scanner dapat membantu agar dalam proses peminjaman dan pengembalian tidak memakan waktu yang lama dan dapat mendapatkan hasil yang akurat serta cepat.
Application of Hot Fit Model to Analyze Information Technology Ams (Academic Management System) Elmayati, Elmayati; Intan, Bunga; Nurdiansyah, Deni; Milenia, Aprilsa; Kelpin, Yogi
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11462

Abstract

Bina Insan University has applied a computer-based information system. This system is named AMS (Academic Management System). The application of AMS (Academic Management System) at this time is still experiencing various obstacles and obstacles at the level of user acceptance. This study aims to analyze the results of the evaluation of the success factors for implementing AMS (Academic Management System) using the Hot-Fit Model (Human Organization Technology – Net benefits). This model was chosen because this model can provide an explanation and provide an evaluation of the factors that influence the implementation of a system at the University of Bina Insan Lubuklinggau in terms of Human (Human), Organization (Organization), Technology (Technology), and Net benefits. In addition, the success of implementing AMS (Academic Management System) at the University of Bina Insan Lubklinggau, is also influenced by the support and encouragement from universities to AMS (Academic Management System) users, as well as the availability of adequate facilities within the Bina Insan Lubuklinggau University to use AMS (Academic Management Systems). From the analysis that has been carried out on 80 respondents who have filled out the research questionnaire, the results show that to test the validity of the variables (Human), Organization (Organization), Technology (Technology), and Net benefit, it shows that each question measured on all variables is valid, which indicated by Corrected Item – Total Correlation or (rcount) the entire score of Corrected Item – Total Correlation or (rcount) greater than rtable of 0.220, and for the F test results obtained a value of F = 13.334 with a significance of 0.000. meaning that the variables of human, organization and technology together have a significant effect on net-benefit (Y).
Analisis Sentimen Aplikasi Youtube di Google Play Store Menggunakan Machine Learning Alga, Jimmy; Wulandari, Cindi; Intan, Bunga
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 4 (2024): RESOLUSI March 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i4.1750

Abstract

YouTube users can create, watch, and share videos for free. Interaction between viewers occurs through the comment feature, which can be positive or negative. The frequent appearance of negative comments on the youtube application on the google play store can have an effect on these accounts. But to find out how much negative comments on the account are needed, an SVM algorithm is needed.  This study aims to determine the sentiment towards the youtube application on the google play store using Machine Learning with the SVM algorithm. The data taken is 4996 review data which is then preprocessed so that the remaining data becomes 4993 data that can be processed. Data labelling is done automatically based on the review rating score. The results of data labelling are divided into 3 classes, namely positive classes as many as 1083, negative classes as many as 3365 and neutral as many as 545. Classification and evaluation are carried out using the SVM method. Based on the training and testing data comparison value of 9: 1, the results obtained an accuracy rate of 75% then negative class precision of 76% and negative class recall of 97% and K-Fold Cross Validation testing using a value of K = 10 with an average accuracy of 0.75 or 75%.
Komparasi Metode Decision Tree dan K-Nearest Neighbor (KNN) dalam Memprediksi Costumer Churn Pada Perusahaan Telekomunikasi Palluvi, Khadisah Syah Riebhan; Syaada, Nadyari; Intan, Bunga
Bulletin of Information System Research Vol 3 No 1 (2024): December 2024
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v3i1.190

Abstract

Prediksi customer churn bertujuan untuk mengklasifikasikan data pelanggan sebelumnya menjadi dua kategori: pelanggan yang akan berhenti berlangganan dan pelanggan yang akan terus berlangganan. Prediksi tersebut memanfaatkan ilmu data mining peran klasifikasi yang merupakan menempatkan variabel atau objek ke dalam beberapa kategori relevan yang telah ditetapkan sebelumnya. Dalam proses eksekusi data mining, diperlukan sebuah algoritma yang dapat mengklasifikasikan apakah customer churn atau tidak churn. Data yang digunakan terdiri dari 7043 rows dan 21 columns. Didalam data tersebut salah satu kolom akan dijadikan label yaitu kolom ‘Churn’. Dalam proses prediksi churn, algoritma yang digunakan yaitu Decision Tree dan K-Nearest Neighbor. Dari hasil analisis yang dilakukan, pada algoritma KNN dihasilkan 76% dan Decision Tree 72%. Dengan hasil pemodelan akurasi 72% dan 76%, keduanya memenuhi kriteria kesuksesan >70%. Namun, model KNN dengan akurasi 76% lebih baik dan lebih diinginkan karena memberikan prediksi yang lebih akurat.
Penerapan Kriptografi Md5 Pada Sistem Informasi Penjualan Online Produk Cat Berbasis Web Darmawan, Muhammad Albani; Karman, Joni; Intan, Bunga
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6034

Abstract

PT Warna Agung in Palembang is a company engaged in selling paint products. Currently, the sales and marketing process at the company still uses conventional methods. In the digital era that continues to develop, this method is considered less efficient and risks leaving companies behind competitors who are already utilizing technology. In addition, managing sales data manually is often time-consuming and error-prone. Therefore, there is a need for innovation to increase efficiency and security in managing sales data. The main problem faced by PT Warna Agung is limitations in managing sales and marketing effectively in the digital era. In facing increasingly fierce competition, companies must be able to utilize technology to simplify business processes and reach more customers. In addition, data security in digital transactions is very important to protect sensitive company and customer information. The solution offered in this research is the development of a web-based online sales information system equipped with MD5 cryptography to secure data. This system is designed to make it easier to manage sales data digitally, expand the reach of online marketing, and increase the company's operational efficiency. The aim of this research is to provide technology-based solutions that are able to increase efficiency and safety in the product sales and marketing process. The result of this research is an online sales website that can manage data digitally and facilitate online marketing with enhanced security using MD5 cryptography, thereby supporting the sustainability of PT Warna Agung's business in the digital era.
Pemanfaatan Aplikasi Paint Untuk Pengenalan Teknologi Informasi Pada Siswa SD Negeri Air Lesing Aktavera, Beni; Intan, Bunga; Armanto, Armanto; Nurdiansyah, Deni; wijaya, harma oktafia lingga; Basmansyah, Attaya Rifki; Purwanti, Devi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi Januari - Maret
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.4875

Abstract

Air Lesing State Elementary School in Musi Rawas Regency is one of the primary schools that plays an important role in providing basic education for children in the region. As an educational institution that is committed to shaping character and providing basic knowledge, SD Negeri Air Lesing strives to provide a safe, comfortable, and conducive learning environment for its students. In the midst of the development of the times and the need for digital literacy, SD Negeri Air Lesing has also begun to strive to introduce information technology in learning. Although it is located in an area that may not be as developed as urban, it strives to provide equal access to education, as well as prepare students to be ready for the challenges of the modern era. This information technology learning is not only aimed at introducing tools and software to students, but also to build logical and critical thinking skills, and develop creativity. To introduce information technology to SD Negeri Air Lesing students through one of the drawing applications, namely the paint application. The problem that exists at SD Negeri Air Lesing has never learned to use technology so that technology for SD Negeri Air Lesing, they are still very unfamiliar, let alone the use of applications for drawing such as paint applications, They are still very unfamiliar, especially the use of applications for drawing such as the Paint application, so it is hoped that students can get to know and be able to implement the Paint application for drawing. This service was carried out directly, with the participation of 35 students, producing digital drawing artworks using the paint application. And 95% of students can already use it
Penerapan Recurrent Neural Network untuk Prediksi Kesehatan Sapi Berdasarkan Analisis Data Sensor Fisiologis Kurniawan, Riski; Santoso, Budi; Intan, Bunga
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7937

Abstract

Livestock health, particularly of cattle, is a crucial factor in the livestock industry as it directly affects productivity and animal welfare. However, health monitoring in the field is still largely conducted manually, leading to delays in early disease detection and increasing the risk of economic loss for farmers. This study aims to develop and evaluate a cattle health prediction model using a Recurrent Neural Network (RNN) approach based on physiological sensor data such as body temperature, heart rate, and physical activity. The data were collected in real time using Internet of Things (IoT) technology at a farm located in Tanah Periuk Village, Musi Rawas Regency. The results show that the developed RNN model achieved an accuracy of 98.88%, precision of 0.99, and recall of 0.99, indicating high performance in detecting potential cattle health issues. These findings are expected to provide a practical solution for farmers to support timely and accurate decision-making and improve overall livestock welfare.
Sentiment Analysis of User Reviews of Kitalulus Job Search App on Google Play Store Using Machine Learning Hendri Hariadi, Astrid Ayuzi Putri; Intan, Bunga; Armanto
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2220

Abstract

This study seeks to assess the sentiment of user reviews for the "KitaLulus" job search app found on the Google Play Store, utilizing Machine Learning techniques. Given the intensifying competition within the job market, this application serves as a crucial resource for job seekers in Indonesia. The study employs a sentiment analysis method to categorize user reviews into three groups: positive, negative, and neutral. The dataset comprises 20,000 reviews in Indonesian gathered from the Google Play Store. The methodologies used in this study include K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Artificial Neural Network (ANN), Logistic Regression, and Naïve Bayes. The findings indicate that various algorithms demonstrate different levels of accuracy in sentiment classification. It is anticipated that the outcomes of this analysis will offer valuable insights to developers about the quality and effectiveness of the "KitaLulus" application, while also assisting users in making informed decisions prior to utilizing the app. Additionally, this research contributes to the domain of sentiment analysis, particularly concerning job search applications in Indonesia.
Co-Authors Aktavera, Beni Alga, Jimmy Armanto Armanto, Armanto Astuti, Endang Tri Basmansyah, Attaya Rifki Darmawan, Muhammad Albani Devi Purwanti, Devi Dwi Budi Santoso Elmayati, Elmayati Hendri Hariadi, Astrid Ayuzi Putri Irawan, Davit Karman, Joni Kelpin, Yogi Lingga Wijaya, Harma Oktafia Milenia, Aprilsa Nurdiansyah, Deni Palluvi, Khadisah Syah Riebhan Riski Kurniawan Syaada, Nadyari Wulandari, Cindi