Article Per Year (5 Year)
p-Index From 2021 - 2026
1.953
P-Index
This Author published in this journals
All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Widya Cipta : Jurnal Sekretari dan Manajemen Jurnal Khatulistiwa Informatika Paradigma Information System for Educators and Professionals : Journal of Information System Jurnal Mantik Penusa Jurnal Ekonomi dan Pembangunan Jurnal Mantik Jurnal Infortech Jurnal Administrasi Bisnis (J-Adbis) Paradigma Jurnal Informatika
Haryani
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
The Application of Technology Acceptance Model for User Perception of Odoo Information System: The Application of Technology Acceptance Model for User Perception of Odoo Information System Haryani Haryani; Rahmat Hidayat; Titik Misriati; Instianti Elyana
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.402 KB)

Abstract

The strategic role of information systems is to help management in providing information that can support decision making. Companies need to think about how information systems that are already owned and will be developed to achieve success. The purpose of this study is to predict user acceptance of Odoo information system at PT. Cardig Anugrah Sarana Catering (CASC) using the Technology Acceptance Model (TAM) based on the effect of perceived ease of use, perceived usefulness and the addition of perceived user attitudes (attitude toward using) to Odoo information systems. The results of this study that the use of Odoo information system can be well received by users of information systems in PT. Cardig Anugrah Sarana Catering.
INFORMATION AND POPULATION SERVICE SYSTEM IN SLAWI WETAN VILLAGE Cucu Ika Agustyaningrum; Haryani; Yosep Tajul Arifin; Warjiyono
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Slawi Wetan Village really needs an information system that supports and provides satisfactory services for its citizens. For this reason, the author tries to make a final project on service and population information systems in Slawi Wetan Village, which until now has not been computerized. The existing system in Slawi Wetan Village is still done manually, starting from the service for covering letters of ID cards, family cards, and transfer letters to those relating to population services, population data errors, and making reports. It is possible that during the process there is an error in recording, less accurate information exists. The best solution to solving problems at the Slawi Wetan sub-district office is a computerized system. An effective and efficient activity can be achieved in supporting activities in the kelurahan. In this information system, the method used is waterfall, and in its implementation it uses the PHP programming language and MySQL as the database. Based on the results of the study, it can be concluded several things, namely: this software can be used to handle the population service process, information about the village, and knowing population data, this system can also provide print reports of village cover letters.
Pengaruh Kompensasi Terhadap Kinerja Karyawan Pada Kantor Pusat PT. Gotrans Logistics International Jakarta Timur Mega Astuti; Instianti Elyana; Haryani Haryani
Jurnal Administrasi Bisnis Vol. 1 No. 1 (2021): Mei 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.694 KB) | DOI: 10.31294/jab.v1i1.319

Abstract

Classification of Tsunami Potential Based on Earthquakes in Indonesia Using the C4.5 Algorithm Eni Irfiani; Arnoldus Pius Purnomo Raben Galla; Vivien Sufi Hadi; Muhammad Iqbal Syaputra; Sriyadi; Haryani; Dio Okta Rovelino
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3342

Abstract

Natural disasters are natural phenomena that are difficult to prevent or avoid. The tsunami disaster caused by the earthquake was a natural disaster with a large impact with many casualties and material and non-material losses. One of the efforts to help deal with the tsunami natural disaster with the help of the Data Mining method is to classify the potential for a tsunami caused by an earthquake in Indonesia based on the BMKG dataset so that the community and government are alert and able to reduce the impact. Classification technique to predict the potential occurrence of tsunami waves generated by earthquakes in Indonesia by applying the C4.5 algorithm. The results of data processing obtained a prediction of the potential for a tsunami based on the classification of the attribute magnitude of the earthquake strength at sea (SR) and the area where the earthquake occurred (KM). The results of model testing using the confusion matrix to classify the potential for a tsunami show an accuracy value of 99.96%.
Classification of Gimbal Stabilizer Products Using Naive Bayes Classification Artika Surniandari; Hilda Rachmi; Suparni Suparni; Lisda Widiastuti; Haryani Haryani
Jurnal Informatika Vol 9, No 2 (2022): Oktober 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v9i2.14064

Abstract

Menjadi videografer adalah hobi yang populer di masa pandemi ini karena berkreasi dalam bentuk video dan konten di YouTube menjadi alternatif selain sekedar mengisi waktu luang atau menghasilkan uang. Untuk mendukung kamera diperlukan perangkat pendukung, dalam hal ini seiring berjalannya waktu kamera yang mumpuni juga bisa didapatkan dari perangkat smartphone, teknologi perangkat tersebut harus diimbangi dengan kemampuan pengguna dalam mengoperasikannya. Gimbal Stabilizer salah satu jawabannya, menggunakan gimbal stabilizer menjadi salah satu alternatif karena dapat meredam getaran sehingga gambar yang dihasilkan lebih maksimal. Banyak website memberikan informasi tentang produk gimbal stabilizer dengan memberikan banyak informasi dalam gambar dan ulasan pengguna. Oleh karena itu, analisis sentimen merupakan solusi untuk masalah pengelompokan opini atau review menjadi opini positif atau negatif secara otomatis berdasarkan hal ini untuk mendapatkan penilaian penggunaan gimbal berdasarkan analisis sentimen yang diberikan melalui review produk, kami akan mencoba menguji parameter untuk menghasilkan n gram pada tahap pre-processing, k-fold pada cross validation dan penerapan particle swarm optimization untuk meningkatkan akurasi menggunakan metode Naive Bayes. Hasil dari tester ini menghasilkan akurasi sebesar 84,42. Becoming a videographer is a popular hobby during this pandemic because creating works in the form of videos and content on YouTube is an alternative to just filling your spare time or making money. To support the camera, the supporting device is needed, in this case, as time goes by, a capable camera can also be obtained from smartphone devices, the technology of the device must be balanced with the user’s ability to operate it. Gimbal Stabilizer is one of the answers, using a gimbal stabilizer is an alternative because it can reduce vibrations so that the resulting image is maximized. Many websites provide information about gimbal stabilizer products by providing a lot of information in images and user reviews. Therefore, sentiment analysis is a solution to the problem of grouping opinions or reviews into positive or negative opinions automatically based on this to get an assessment of the use of gimbals based on the sentiment analysis provided through product reviews, we will try to test the parameters to produce n grams at the pre-processing stage, k-fold on cross validation and the application of particle swarm optimization to increase accuracy using the Naive Bayes method. The results of this tester produce an accuracy of 84.42
Algoritma Klasifikasi Multilayer Perceptron Dalam Analisa Data Kebakaran Hutan Haryani Haryani; Cucu Ika Agustyaningrum; Artika Surniandari; Sucitra Sahara; Ratna Kurnia Sari
Jurnal Infortech Vol 5, No 1 (2023): JUNI 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v5i1.15792

Abstract

Kebakaran hutan atau yang sering disebut dengan wildfire merupakan salah satu isu lingkungan yang utama karena berdampak negatif terhadap kelestarian hutan, merugikan lingkungan dan ekonomi, serta merugikan masyarakat. Kebakaran hutan adalah kondisi di mana hutan terbakar, merusak hasil hutan dan menyebabkan kerusakan ekologi dan ekonomi. Tujuan dari peramalan kebakaran hutan adalah untuk mengetahui seberapa sering terjadi kebakaran hutan. Oleh karena itu, proses analisis data dilakukan dengan menggunakan teknik machine learning tradisional melalui metode Random Forest, Decision Tree, Logistic Regression, Naive Bayes dan Multilayer Perceptron. Mengetahui keakuratan dan nilai hasil F1 memungkinkan membandingkan metode ini dengan bahasa pemrograman Python. Hasil pengujian menunjukkan bahwa pendekatan Multilayer Perceptron mengungguli metode Random Forest, Decision Tree, Logistic Regression dan Nave Bayes dengan nilai akurasi masing-masing sebesar 93,35% dan F1 Score 93,69% dengan ukuran hidden layer sebesar 64,64. Dibandingkan dengan pendekatan lain yang dipelajari, nilai metode multilayer perceptron cukup signifikan. Penelitian ini dapat membantu menentukan kemungkinan kebakaran hutan.
Queue System Implementation at PT. Mulia Persada Indonesia Call Center Services Haryani Haryani; Choirunisa Iqbar Qurotaaini; Cucu Ika Agustyaningrum; Artika Surniandari; Dedi Saputra
Paradigma Vol. 25 No. 2 (2023): September 2023 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v25i2.2310

Abstract

In this modern era, call centers have become an important element in providing efficient and responsive customer service. One of the main challenges faced by call centers is how to efficiently manage customer call queues. This study aims to implement a queuing system at PT Mulia Persada Indonesia's call center service by utilizing a computer network, with the aim of increasing the efficiency and effectiveness of customer service. This research also includes an analysis of network security using a Virtual Private Network (VPN) and point-to-Point Tunneling Protocol (PPTP) as a security method for call center network connections. The results of the study show that the use of PPTP in PT Mulia Persada Indonesia's network security provides significant benefits. Call center employees can connect to the corporate network through a secure connection, even from an external location such as home. This access allows them to access the queuing system and perform call center tasks effectively without having to be in a physical office. Meanwhile, the implementation of a queue system at PT Mulia Persada Indonesia's call center service has had a positive impact, namely increasing customer satisfaction. With an effective queuing system, customer waiting time can be minimized and calls can be handled quickly.
Comparative Optimization of EfficientNetB3, MobileNetV2, and ResNet50 for Waste Classification Sarifah Agustiani; Haryani Haryani; Agus Junaidi; Rizky Rachma Putri; Meutia Raissa Emiliana
Jurnal Informatika Vol. 12 No. 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/

Abstract

Waste management is an important challenge in protecting the environment and public health. Improperly managed waste can cause pollution and hinder the recycling process. This study aims to classify waste based on images by optimizing three deep learning architectures, namely EfficientNetB3, MobileNetV2, and ResNet50, to determine the model with the best performance. The dataset comes from the Kaggle platform, consisting of 4,650 images in six categories: battery, glass, metal, organic, paper, and plastic. The research stages include preprocessing, data augmentation, model development, and evaluation using accuracy, precision, recall, and F1-score metrics. The results show that EfficientNetB3 with the Adam optimizer achieved the best performance with 93% accuracy, followed by ResNet50 with 91%, while MobileNetV2 ranged from 70–73% depending on the optimizer. Variations in optimizers were found to affect model performance, while data augmentation improved generalization capabilities, especially in classes with limited samples. This research confirms the potential of deep learning methods in supporting automatic waste classification systems and provides a basis for the development of technology-based waste management systems in the future.
Co-Authors Aan Rahman Agus Junadi Agus Junaidi Agustiani, Sarifah Andi Saryoko Arie Kurniawan Arnoldus Pius Purnomo Raben Galla Artika Surniandari Choirunisa Iqbar Qurotaaini Cucu Ika Agustyaningrum Dedi Saputra Dina Fitriani Dio Okta Rovelino Donna Setiawati Eni Irfiani Fajar Akbar Gustin Setyaningsih Hilda Rachmi Ibnu Akil Instianti Elyana Lisda Widiastuti Martias Martias Mega Astuti Meutia Raissa Emiliana Nurvi Oktiani Priatno Priatno Rahmat Hidayat Rani Kurniasari Ratna Kurnia Sari Riska Aryanti Riswandi Riswandi Rizki Wahyudi Rizky Rachma Putri RR. Ella Evrita Hestiandari S.M Santi Winarsih Samudi Sofian Wira Hadi Sopiyan Dalis Sriyadi Sucitra Sahara Suparni Suparni Taat Kuspriyono, Taat Titik Misriati Vivien Sufi Hadi Warjiyono Warjiyono Wati Erawati Yosep Tajul Arifin Yoseph Tajul Arifin Yuliantari, Kartika