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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Manajemen Sistem Informasi
Sharipuddin, Sharipuddin
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Computer Science & IT Control & Systems Engineering Engineering

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Sistem Informasi Produksi Komuditas Sawit Pada PT. Dharmasraya Palma Sejahtera Syaputra, Dikky; Sharipuddin, Sharipuddin
Jurnal Manajemen Sistem Informasi Vol 8 No 1 (2023): MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.005 KB) | DOI: 10.33998/jurnalmsi.2023.8.1.771

Abstract

Production information system at PT. Dharmasraya Palma Sejahtera is still manually using paper and inputted into Microsoft Word and Excel, so there are problems in recording and reporting. Difficulties in the process of making reports and reporting will increase because the storage media is only in the form of archived document files. Based on the existing problems, a production information system design is needed that can help solve the problem. The purpose of this research is to analyze and design an information system for palm oil commodity production by applying the SCRUM framework. The method used in this research is the SCRUM framework which consists of 3 stages, namely (1) Product Backlog, (2) Sprint Backlog, (3) Product Complete. This study uses modeling tools in the form of Usecase diagrams, Activity diagrams, and class diagrams. The results of this study are a prototype of an information system for the production of palm oil commodities with a design using the SCRUM framework.
Sistem Informasi Manajemen Klinik Basmallah Jambi Berbasis Web Pratama, Bimo; Sharipuddin, Sharipuddin
Jurnal Manajemen Sistem Informasi Vol 8 No 2 (2023): MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.549 KB)

Abstract

The clinical management system at the Jambi Basmallah Clinic is still done manually so it has problems such as errors in recording general patient data or insurance patients, searching for available drug data because there is no data for drug stock, damage and data loss due to existing storage media only. in the form of archived documents, difficulties in making reports so that it takes more time to implement. Based on the existing problems, a clinical management information system is needed that can assist in minimizing the existing problems. This study uses modeling tools in the form of Usecase diagrams, Activity diagrams, and class diagrams. The purpose of this study is to design a prototype system that can provide an overview of management information systems to the clinic. The results of this study are a prototype design of a clinical management information system that can be implemented later as a solution to the problems that exist at the Jambi Basmallah Clinic.
Analisis dan Perancangan Sistem Informasi Akademik Berbasis Web pada Sekolah Tinggi Ilmu Tarbiyah (STIT) Kabupaten Tebo Saputra, Dedi; Sharipuddin, Sharipuddin
Jurnal Manajemen Sistem Informasi Vol 3 No 4 (2018): JURNAL MANAJEMEN SISITEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

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Abstract

This research is based on the absence of Web-Based Academic Information System At Tarbiyah School of Science (STIT) Tebo. This situation makes the academic process that existed in Tarbiyah School of Science (STIT) Tebo regency has not been effective and efficient, Especially on data processing lecturers, employees, students and data processing value, this makes the academic process can not run properly. The data processing of High School Tarbiyah (STIT) Tebo Regency is still conventional or using a simple computerized system, such as recording on papers and files on computer. Although data collection in the computer, but the existing data has not been arranged systematically or centrally. With such circumstances that allow a lot of mistakes in the processing of academic data and can hamper academic services to stakeholders. From this research is expected to produce an academic information system design that provides services in the form of information consisting of: lecturer biography, employees, students, values, reports and information about Tarbiyah School of Science (STIT) Tebo
Sistem Informasi Layanan Pernikahan Berbasis Web Pada Kantor Urusan Agama Mendahara Ilir Tanjung Jabung Timur Farista R, Rahul; Sharipuddin, Sharipuddin
Jurnal Manajemen Sistem Informasi Vol 8 No 3 (2023): MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jurnalmsi.2023.8.3.1483

Abstract

A web-based marriage service information system at the religious affairs office of Mendahara Ilir, Tanjung Jabung Timur, an institution that serves marriage registration. The process of marriage services in data collection at the Office of Religious Affairs is currently still being recorded manually by officers. This study aims to analyze and design a marriage service information system at the Mendahara Ilir religious affairs office, Tanjung Jabung Timur. The method used in this study is the waterfall method, the design of this information system produces a prototype using the Unified Modeling Language programming language, the information system designed can facilitate the process of inputting marriage data where the data will be stored in the same database so that the data from the marriage report can be well integrated. The information system created is only limited to the service information system for Marriage Schedule, Marriage Implementation, Marriage Book Publisher and Marriage Book Duplicate.
Manajemen Proyek Pada Departemen Reliability, Availability And Maintenance (RAM) Nanda Putra, Yofi; Sharipuddin, Sharipuddin
Jurnal Manajemen Sistem Informasi Vol 8 No 4 (2023): MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jurnalmsi.2023.8.4.1512

Abstract

PT. Pertamina Hulu Rokan Jambi is a company engaged in petroleum which has many branches where one of them is the Jambi field. Currently, the department (RAM) realibility, availability, and maintenance is a division engaged in maintenance engineering. In the business process of maintenance and development work there are several problems faced by the RAM division, including the slowness to monitor the daily progress work, which currently project reporting is received in the form of handwriting which will be recapitulated in the form of an Excel file then it is usually given at the end of the month to the manager. The purpose of this research is to analyze problems and design a web-based project management information system. The research method uses a prototype model and a unified model language system model using usecase diagrams, activity diagrams, and class diagrams. The results of this study are in the form of a prototype design of a web-based project management information system that can be implemented later as a solution to existing problems.
Sistem Informasi Pengelolaan Data Nilai Siswa Febriani ER, Riri; Sharipuddin, Sharipuddin
Jurnal Manajemen Sistem Informasi Vol 8 No 4 (2023): MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jurnalmsi.2023.8.4.1520

Abstract

Analysis and design of a web-based data processing information system for student grades at SMA Negeri 12 Jambi City is a system that can provide online student activity so as to help speed and quality in delivering information. The problems that occur in processing student grades at SMA Negeri 12 Jambi City are currently using computerization but are limited to Microsoft Excel, so data redundancy still occurs which results in data inconsistency. This study aims to overcome the difficulty of conveying information related to student values, in addition to being website-based, data information can be accessed at any time. The method used in this study is the prototype method, the research tool used is UML (Unified Modeling Language). This research produces a prototype that can provide an easier solution in processing student grade data to be used as the final grade in the report card.
Sistem Informasi Manajemen Proyek Kontruksi Pada CV. Komitmen Putra Sarolangun Rizki Anggraini, Ayu; Sharipuddin, Sharipuddin
Jurnal Manajemen Sistem Informasi Vol 9 No 1 (2024): MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jurnalmsi.2024.9.1.1693

Abstract

Analysis and design of a construction project management information system is a system that can minimize errors in the process of making reports on construction projects. The current problem is that the process of recording construction project work still uses telephone media as a means of conveying project progress and then it is recorded back into Microsoft Office Excel where sometimes there are many errors in recording the progress of construction project work, resulting in errors in construction project progress reports. This study aims to analyze the current system requirements and design a construction project management information system with an object-oriented approach using UML (Unified Modeling Language) and prototype models as the methods in this study. This research produces a prototype that can provide solutions and an overview of the design of construction project management information systems such as project worker data designs, client data designs, project activity designs, project budget designs, project documentation designs, and required project reports as well as UML (Unified Modeling) designs. Language) as a tool that can facilitate the developer later in making the system.
Ensemble Method for Anomaly Detection On the Internet of Things Kurniabudi, Kurniabudi; Winanto, Eko Arip; Astri, Lola Yorita; Sharipuddin, Sharipuddin
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 1 (2024): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.85834

Abstract

 The internet of things generates various types of data traffic with a very large amount of data traffic which has an impact on security issues, one of which is an attack on the Internet of Things network. In the IoT data traffic flow, which contains various data, it turns out that the portion of attack data traffic is usually smaller than normal traffic. Therefore, the attack detection method must be able to recognize the type of attack on a very large data traffic flow and unbalanced data. High data dimensions and unbalanced data are one of the challenges in detecting attacks. To overcome the large data dimensions, Chi-square was chosen as a feature selection technique. In this study, the ensemble method is proposed to improve the ability to detect anomalies in unbalanced data. To produce an ideal detection method, a combination of several classification algorithms such as Bayes Network, Naive Bayes, REPtree and J48 is used. The CICIDS-2017 dataset is used as experimental data because it has a high data dimension which contains unbalanced data. The test results show that the proposed Ensemble method can improve the performance of anomaly detection for high-dimensional data containing unbalanced data
PENINGKATAN PERFORMA DETEKSI SERANGAN MENGGUNAKAN METODE PCA DAN RANDOM FOREST Winanto, Eko Arip; Novianto, Yudi; Sharipuddin, Sharipuddin; Wijaya, Ibnu Sani; Jusia, Pareza Alam
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 2: April 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241127678

Abstract

Keamanan jaringan menjadi hal yang sangat penting dalam menghadapi ancaman serangan yang semakin kompleks dan canggih. Deteksi serangan dalam jaringan dapat membantu mengidentifikasi aktivitas mencurigakan yang mengindikasikan upaya penetrasi atau serangan oleh pihak yang tidak berwenang. Dalam upaya untuk meningkatkan performa deteksi serangan pada jaringan IoT perlu adanaya penerapan sebuah metode untuk mendeteksi sebuah ancaman . Metode Random Forest adalah algoritma pembelajaran mesin yang memanfaatkan ansambel pohon keputusan. Ansambel tersebut terdiri dari beberapa pohon keputusan independen yang digunakan untuk mengklasifikasikan data. Salah satu karakteristik dari metode Random Forest adalah kemampuannya dalam mengatasi masalah overfitting dan kualitas prediksi yang baik. Principal Component Analysis (PCA) adalah teknik statistik yang digunakan untuk mengurangi dimensi data dengan memproyeksikannya ke ruang fitur yang lebih rendah. Hal ini membantu menghilangkan korelasi antar fitur dan mengidentifikasi fitur-fitur penting yang dapat meningkatkan pemisahan antara serangan dan lalu lintas normal. Dalam penelitian ini akan diujikan dengan dataset CIC IOT 2023 yang terdiri dari beberapa tipe serangan yaitu DDoS, DoS, Recon, Web-based, Brute Force, Spoofing, dan Mirai. Pengujian model  terdiri dari 4 fitur  yaitu 5,8,10 dan 47. Hasil deteksi menunjukkan hasil yang memuaskan dengan meningkatkan kinerja dalam mendeteksi serangan hingga mencapai 99,2%   Abstract Network security has become increasingly critical in the face of complex and sophisticated threat attacks. Detecting intrusions within a network can aid in identifying suspicious activities indicative of unauthorized penetration attempts or attacks. To enhance intrusion detection performance, the implementation of a method for threat detection is necessary. The Random Forest method, an ensemble machine learning algorithm that leverages multiple independent decision trees, is employed in this study. This method effectively addresses overfitting issues and demonstrates good predictive quality. Principal Component Analysis (PCA), a statistical technique for dimensionality reduction, is utilized to project data into a lower-dimensional feature space. By eliminating correlations between features and identifying important ones, PCA enhances the separation between attacks and normal traffic. This research utilizes the CIC IOT 2023 dataset, encompassing various types of attacks such as DDoS, DoS, Recon, Web-based, Brute Force, Spoofing, dan Mirai. The model testing phase incorporates 4 features: 5, 8, 10, and 47. The detection results indicate a remarkable performance improvement in identifying attacks, achieving an accuracy rate of 99.2%.
Defence against adversarial attacks on IoT detection systems using deep belief network Sharipuddin, Sharipuddin; Winanto, Eko Arip
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 2: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i2.pp1073-1081

Abstract

An Adversarial attack is a technique used to deceive machine learning models to make incorrect predictions by providing slightly modified inputs from the original. Intrusion detection system (IDS) is a crucial tool in computer network security for the detection of adversarial attacks. Deep learning is a trending method in both research and industry, and this study proposes the use of a deep belief network (DBN). DBN can recognize data with small differences, but is also vulnerable to adversarial attacks. Therefore, this research suggests an internet of things-intrusion detection system (IoT-IDS) architecture using a DBN that can counter adversarial attacks. The chosen adversarial attack for this study is the fast gradient sign method (FGSM) used to evaluate the IoT IDS using the DBN model. Testing was conducted in two scenarios: first, the model was trained without adversarial attacks; second, the model was trained with adversarial attacks. The test results indicate that the DBN model struggles to detect FGSM attacks, achieving an accuracy of only 46% when it is not trained with adversarial attacks. However, after training with the FGSM dataset, the DBN model successfully detected adversarial attacks with an accuracy of 97%.
Co-Authors Dedi Saputra Dodi Sandra Farista R, Rahul Febriani ER, Riri Jasmir, Jasmir Kurniabudi, Kurniabudi Lasmedi Afuan Lola Yorita Astri, Lola Yorita Nanda Putra, Yofi NOVIANTO, YUDI Nurhadi Pareza Alam Jusia, Pareza Alam Pratama, Bimo Purnama, Benni Rizki Anggraini, Ayu Syaputra, Dikky Takhir, Said Hambali WIJAYA, IBNU SANI