Article Per Year (5 Year)
p-Index From 2020 - 2025
1.909
P-Index
This Author published in this journals
All Journal Jurnal Informatika Universitas Pamulang Jurnal Sistem Komputer & Kecerdasan Buatan Infotech: Journal of Technology Information E-Amal: Jurnal Pengabdian Kepada Masyarakat IKRAM: Jurnal Ilmu Komputer Al Muslim Jurnal Ilmu Komputer
Agung Budi Susanto
Universitas Pamulang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : Jurnal Ilmu Komputer

 1 
Analisis Manajemen Risiko Framework COBIT 2019 Dengan Metode AHP (Studi Kasus: PT Apro Global Solusi) Rohman, Fredi Muhammad; Susanto, Agung Budi; Waskita, Arya Adhyaksa
Jurnal Ilmu Komputer Vol 1 No 1 (2023): Jurnal Ilmu Komputer (Edisi Juni 2023)
Publisher : Universitas Pamulang

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

Abstract

PT Apro Global Solusi (AGS) is an information technology company that helps customers achieve their business goals by providing the best consulting in its class. Problems that occur at PT AGS such as data leaks, suboptimal governance make it a reproach for the occurrence of risks in the IT division, This research will use the Cobit 2019 framework and the AHP (Analytic Hierarchy Process) method to make decisions. The research object will focus on risk management in PT AGS IT division so that it has good control in IT risk management. Cobit 2019 implementation and the AHP method can be implemented properly so that AGS can set standards for good governance and minimize risks that will occur, with decision makers the AHP method can be a reference for the IT Division to look for flaws that can cause risks and create IT divisions PT Apro Global Solusi has good standards.
Analisis Sentimen Pelayanan Pelanggan Mini Market Alfamart Pada Media Sosial Twitter Dengan Naïve Bayes Classifier Aziz, Awaludin; Susanto, Agung Budi; Wiharjo, Sudarno
Jurnal Ilmu Komputer Vol 1 No 2 (2023): Jurnal Ilmu Komputer (Edisi Desember 2023)
Publisher : Universitas Pamulang

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

Abstract

Twitter is one of the social media that is currently popular, here the public is free to have opinions, write, and comment on anything. PT Sumber Alfaria Trijaya with its trademark Alfamart is a company engaged in the retail sector. Not infrequently consumers submit complaints, criticisms, and suggestions through this social media. Community opinion can be used as evaluation material in improving services. In this study, sentiment analysis for Alfamart minimarket customer service was carried out based on data obtained from Twitter. This sentiment analysis aims to classify Alfamart's customer service tweets into positive, negative, and neutral sentiments using the naive Bayes classifier algorithm. The data used is 2000 tweet data and then preprocessing is carried out so that 1691 tweets are clean data. Of the 1691 data analyzed, 1017 positive tweets, 297 negative tweets, and 377 neutral tweets were obtained. Then the data will be divided into 80% training data and 20% test data. The results of the accuracy value are 70% with a Precision value of 70%, a Recall value of 70%, and an F1-Score value of 66%.
Pengembangan Sistem Kontrol Pemilah Kematangan Buah Pisang Pada Konveyor Menggunakan Metode Klasifikasi K-Nearest Neighbors Berbasis OpenCV Andrean, Kelvin; Tukiyat, Tukiyat; Susanto, Agung Budi
Jurnal Ilmu Komputer Vol 1 No 2 (2023): Jurnal Ilmu Komputer (Edisi Desember 2023)
Publisher : Universitas Pamulang

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

Abstract

This research focuses on developing a micro-controller-based banana ripeness sorting tool with the implementation of the K-Nearest Neighbors (KNN) algorithm for the classification of ripeness levels based on RGB color image processing using the OpenCV library. Banana is an important fruit in society because of their high nutritional content, but manual sorting of banana fruit is a challenge for farmers and officers. The tool built uses Arduino UNO as a controller, a conveyor belt with a dynamo motor, and a servo motor for sorting. The KNN method is used for classification based on banana skin color. The results showed that the success rate of sorting reached 100% at the neighboring value of K = 3, 93.33% at K = 5, and 86.66% at K = 1. This tool can be an efficient solution for automatically sorting bananas based on ripeness level with high accuracy.
Analisis Aplikasi Iuran Pengelolaan Lingkungan Berbasis Web Dengan Proses Monitoring dan Evaluasi COBIT 4.1 (Studi Kasus Perumahan Metro Residence) Edlianto, Dionisius Riyan; Susanto, Agung Budi; Tukiyat
Jurnal Ilmu Komputer Vol 2 No 1 (2024): Jurnal Ilmu Komputer (Edisi Juli 2024)
Publisher : Universitas Pamulang

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

Abstract

Metro Residence Housing has a total of 381 houses. The sales admin manually inputs environmental management contribution data into Excel every month. To address this, an application was created using the Scrum method, chosen for its adaptability and efficiency. Sprints one to three, each lasting two weeks, completed in six weeks. Post-development, a black box test with eight menu tests confirmed the system's functionality, with all tests passed. Subsequent direct testing with the admin over a month led to application acceptance. An IT governance audit followed, involving five respondents: sales admin, estate admin, admin manager, branch IT staff, and HO IT staff. The COBIT 4.1 audit rated Bogor Metro Residence at level three, indicating standardized, documented, and communicated IT procedures. Limited IT staff understanding prevented a higher score. The application can be further developed into a mobile app for residents to monitor bills and make payments.
Analisis Prediksi Hasil Pemilu Legislatif DPR RI DKI Jakarta Tahun 2024 Menggunakan Metode Random Forest dan Gradient Boosting Effendy, Rangga Febrian; Susanto, Agung Budi; Anggai, Sajarwo
Jurnal Ilmu Komputer Vol 2 No 1 (2024): Jurnal Ilmu Komputer (Edisi Juli 2024)
Publisher : Universitas Pamulang

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

Abstract

In general elections, it is closely related to predictions, predictions play an important role in obtaining results in future legislative elections. Predicting general election results can be done through a series of processes to find patterns and knowledge from a set of data using data mining techniques. To get accurate prediction results in the future, a method is needed that can be used as predictive modeling. This research aims to find out the results of model testing and predictions for the 2024 DPR RI DKI Jakarta legislative election using random forest and gradient boosting methods and to find out patterns and knowledge from the prediction results themselves. Based on the model testing results, the gradient boosting method has an accuracy value of 95.8%, precision 72.2% and recall 61.9%. Meanwhile, random forest has an accuracy value of 95.4%, precision 63.6% and recall 33.3%. The pattern and knowledge from the prediction results is that the elected legislative candidates on average are in serial numbers 1 and 2, have valid votes starting from 63,529, are male and have a doctoral degree.
Pengembangan Sistem Employee Self Service (ESS) Berbasis Web Terintegrasi Dengan Kinerja Karyawan (Studi Kasus: Astrido Group) Wibowo, Satria Ardi; Susanto, Agung Budi; Anggai, Sajarwo
Jurnal Ilmu Komputer Vol 2 No 1 (2024): Jurnal Ilmu Komputer (Edisi Juli 2024)
Publisher : Universitas Pamulang

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

Abstract

Technological developments in the 4.0 era require humans to act effectively and efficiently. Astrido Group is a company operating in the automotive sector, especially car sales and services. The expected goal of this research is to build an information sistem that makes it easier for employees to update personal data, download attendance reports, process leave applications and approvals and obtain employee performance information. The sistem development method is Rapid Application Development (RAD) and modeled using the Unified Modeling Language (UML). Focus Group Discussion (FGD) Used as validation testing. The resulting software quality test is based on the four software quality characteristics of the ISO 9126 model, namely: functionality, reliability, usability and efficiency which are combined using the questionnaire method. The Black Box test results were 100%, which indicates the system was well received by users, while testing with Acunetix WVS was at Threat Level 2, which indicates the application being built is quite safe.
Co-Authors Abu Khalid Rivai Abu Khalid Rivai Agustian, Rizki Andrean, Kelvin Angelina Hadriani Hadriyanto Anggai, Sajarwo Aziz, Awaludin Dadang Kurnia, Dadang Edlianto, Dionisius Riyan Effendy, Rangga Febrian Hadriani, Angelina Hatonangan Samosir, Theofilus Herly Hilman, Amirul Kuntoro Kuntoro Mardiyanto Mardiyanto Nafiah, Nafiah Ristasari Dwi Septiana Rohman, Fredi Muhammad Syarifudin Syarifudin Taswanda Taryo thoyyibah, Thoyyibah Tukiyat Tukiyat Tukiyat Tukiyat Tukiyat, Tukiyat Waskita, Arya Adhyaksa Wibowo, Satria Ardi Wiharjo, Sudarno