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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) TEKNIK INFORMATIKA JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer ICON-CSE Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Sistem Komputer dan Informatika (JSON) Sriwijaya Journal of Informatics and Applications Jurnal Teknik Informatika (JUTIF) Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal Abdimas Maduma Media Elektrik
Primanita, Anggina
Universitas Sriwijaya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Other

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Fuzzy Logic Implementation on Enemy Speed Control to Raise Player Engagement Abdiansah abdiansah; Anggina Primanita; Frendredi Muliawan
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

Shoot em’ up game is the sub-genre of action game. Action game is attractive because the game play usually use the interesting user interface and easily affect human emotion. With the aim to eliminate all the enemy, this kind of game will be boredom the player if the enemy behavior are monotones. This game needs a controller to add dynamic system into the enemy such as the artificial intelligence. Therefore, this paper proposes Fuzzy Takagi Sugeno method that will take several input and give the response as the output. So, the game will manipulate the enemy behavior that make the game more challenging and interesting to be played.
PENGELOLAAN KEUANGAN TERKOMPUTERISASI DI FAKULTAS ILMU KOMPUTER UNIVERSITAS SRIWIJAYA MENGGUNAKAN SISTEM ENTERPRISE RESOURCE PLANNING (ERP) Hadipurnawan Satria; Anggina Primanita; M. Nazhif Rizani; Hasby Rifky; Ahmad Nizar
Annual Research Seminar (ARS) Vol 2, No 2 (2016): Special Issue : Penelitian, Pengabdian Masyarakat
Publisher : Annual Research Seminar (ARS)

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Abstract

A university faculty has numerous and complex business processes that it can be assumed as a corporation. Implementing an Enterprise Resource Planning (ERP) system in a faculty has to integrate all the elements in a faculty, such as departments and other units. Integrated system will ease the monitoring and evaluation process in a faculty. This research analyzes the requirements needed to integrate between faculty and university finance system at Computer Science Faculty, Sriwijaya University. The result of requirement analysis is then represented in UML Diagrams and implemented in Web platform. Based on the implementation results, all of the requirements has been implemented accordingly. It is expected to streamlined the finance processes in Computer Science Faculty, as well as creating a more accountable and transparent financial environment.
Perangkat Lunak Penganalisis Kemiripan Webpage Berdasarkan Konten Presentasional Hadipurnawan Satria; Anggina Primanita
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Abstract

Sebuah webpage selain berisi sekumpulan informasi utama (konten) juga mengandung konten presentasional yang digunakan untuk menampilkan isi informasi utama. Pada sebuah website, konten presentasional sebuah webpage cenderung mirip dengan konten presentasional dalam webpage lainnya di website tersebut. Meskipun mirip ataupun identik, setiap kali sebuah webpage dimuat dalam browser konten presentasional ini tetap mengalami proses pemuatan ulang. Jika kemiripan konten presentasional cukup besar, maka akan terjadi banyak pemborosan konten yang dimuat dari server. Penelitian ini bertujuan untuk mengembangkan perangkat lunak yang dapat menganalisis kemiripan sekelompok webpage dalam sebuah website. Data yang digunakan adalah kumpulan webpage dari sebuah website yang diunduh menggunakan web crawler. Berdasarkan hasil analisis pada website www.pusbangdik.unsri.ac.id , didapatkan bahwa konten presesentasional dari masing-masing webpage cukup mirip, dengan rata-rata kemiripan 67% untuk semua webpage dan 58% untuk webpage yang terhubung saja. 
Training Making Materials Video Interactive Learning For Teachers in SMK Negeri 1 Muara Enim Sri Desy Siswanti; Darmawijoyo Darmawijoyo; Saparudin Saparudin; Syamsuryadi Syamsuryadi; Ahmad Fali Oklilas; Hadi Purnawan Satria; Anggina Primanita
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Abstract

Report on the implementation of community service describes the learning outcomes of the training video creation intended for Vocational High School (SMK) Negeri 1 Muara Enim. The training was attended by 66 teachers. This training provides a solution to improve the teaching of teachers SMK 1 Muara Enim is by making instructional materials in the form of video lessons. The training is carried out with extension methods and practices, to support the training is complemented every teacher training modules in softcopy. The training was held at the Hall of SMK 1 Muara Enim. To measure the result of performance evaluation activities, where the outcome is a matter of understanding of the material by the participants, the average value reached approximately 80-100 giving the correct answer. For the future need this kind of training activities with the broader material and a longer period  with the aim to improve the quality of teaching and school teachers.
PELATIHAN PENGGUNAAN APLIKASI MOODLE SEBAGAI PERSIAPAN MENGHADAPI UJIAN NASIONAL BERBASIS KOMPUTER PADA SMK NEGERI 1 OGAN KOMERING UL Anggina Primanita; M. Ihsan Jambak; Danny M. Saputra; Rusdi Efendi
Annual Research Seminar (ARS) Vol 2, No 2 (2016): Special Issue : Penelitian, Pengabdian Masyarakat
Publisher : Annual Research Seminar (ARS)

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Abstract

[1]N. H. C. L. B. Gibson, "A case study of a fast track SAP R/3 implementation at Guilbert," Electronic Markets, no. June, pp. 190-193, 1999.[2]R. I. Heroza, "Requirement Modeling for Academic Data Inventory in Faculty of Computer Science Sriwijaya University," in Annual Research Seminar, Palembang, 2015.[3]V. Kumar, B. Maheshwari and U. Kumar, "An Investigation of critical management issues in ERP implementation: empirical evidence from Canadian Organizations," Technovation, vol. 23, pp. 793-807, 2003.[4]A.-m. A. Z. M. Al-Mashari Majed, "Enterprise resource planning A taxonomy of critical factors," European Journal of Operational Research, 2002.[5]C. Larman, Applying UML and Patterns: An Introduction to Object Oriented Analysis and Design and the Unified Process, Prentice Hall, 2004.[6]M. Fowler, UML Distilled: A Brief Guide to the Standard Object Modeling Language, Addison-Wesley Professional, 2003.
Ear Image Recognition using Hyper Sausage Neuron Samsuryadi Samsuryadi; Anggina Primanita
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.036 KB) | DOI: 10.11591/eecsi.v2.777

Abstract

It is important to distinguish an individual from a group of other individuals to ensure information security an d integrity. One of human body parts that has distinguishable characterics is the ear. Prior attempts on identification of hum an ear image has been implementing statistical pattern recogni tion which focusing more on classification between sample sets . This research attempts to build a robust ear image recognitio n system using Hyper Sausage Neuron (HSN) that concetrates on cognition process rather than classification. A recognition s oftware has been built and tested to recognize ear images. Ear images presented into the software has its geometrical moment invariants extracted. These moments is then used to build a se ven dimensional feature vector which will construct a network of HSN of each individual it represents. Different ear images f rom the same individual is presented into the software to test i ts accuracy. The experiment result shows that ear recognition using HSN has better accuracy and faster training time than p revious recognition attempts using statistical pattern recogniti on.
Klasifikasi Gambar Bergerak Pada Pengenalan Wajah Menggunakan Metode Convolutional Neural Network (CNN) Ahmad Zarkasi; Muhammad Nawar Athalaza; Hadi Purnawan Satria; Anggina Primanita; Sutarno Sutarno; Abdurahman Abdurahman; Yoppy Sazaki
Jurnal Sistem Informasi Vol 14, No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jsi.v14i2.19372

Abstract

Setiap orang memiliki wajah yang berbeda-beda yang memiliki ciri khas. Wajah dapat digunakan untuk menjalankan suatu sistem. Sistem dapat digunakan untuk sistem keamanan, pengenalan identitas, bahkan untuk pergerakan robot. Gerakan robot dapat dikontrol dengan gerakan wajah. Pengembangan pengenalan pola wajah sudah banyak terapkan dengan berbagai metode, diantaranya tamplate matching dan Haar Cascade. Salah satu implementasi pengenalan wajah adalah analisi untuk wajah bergerak. Pada penelitian ini, bertujuan untuk mengimplementasikan metode CNN untuk pengenalan pola wajah bergerak dengan mengklasifikasikan pola wajah dalam beberapa kalsifikasi. Hasilnya penganalan pola wajah menunjukkan bahwa akurasi pelatihan adalah 90% dan kerugian adalah 2.3%. Sedangkan akurasi validasi 95% dan loss 0,5%. 
Real-Time Occluded Face Identification Using Deep Learning Muhammad Fachrurrozi; Anggina Primanita; Rafly Pakomgan; Abdiansah Abdiansah
JURNAL TEKNIK INFORMATIKA Vol 16, No 1 (2023): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v16i1.31211

Abstract

One of the most difficult aspects of face identification is face occlusion. Face occlusion is when anything is placed over the face, for example, a mask. Masks occlude multiple important facial features, like the chin, lips, nose, and facial edges. Face identification becomes challenging when important facial features are occluded. Using one of the deep learning algorithms, YOLOv5, this work tries to identify the face of someone whose face is occluded by a mask in real-time. A special program is being created to test the effectiveness of the YOLOv5 algorithm. 14 people's data were registered, and each person had 150 images used for training, validation, and testing. The images used are regular faces and mask-occluded faces. Nine distinct configurations of epoch and batch sizes were used to train the model. Then, during the testing phase, the best-performing configuration was chosen. Images and real-time input were used for testing. The highest possible accuracy of image identification is 100%, whereas the maximum accuracy of real-time identification is 64%. It was found during the testing that the brightness of the room has an influence on the performance of YOLOv5. Identifying individuals becomes more challenging when there are significant changes in brightness.
Sign Language A-Z Alphabet Introduction American Sign Language using Support Vector Machine Muhammad Rasuandi; Muhammad Fachrurrozi; Anggina primanita
Sriwijaya Journal of Informatics and Applications Vol 4, No 2 (2023)
Publisher : Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/sjia.v4i2.74

Abstract

Deafness is a condition where a person's hearing cannot functionnormally. As a result, these conditions affect ongoing interactions,making it difficult to understand and convey information.Communication problems for the deaf are handled through theintroduction of various forms of sign language, one of which isAmerican Sign Language. Computer Vision-based sign languagerecognition often takes a long time to develop, is less accurate, andcannot be done directly or in real-time. As a result, a solution isneeded to overcome this problem. In the system training process,using the Support Vector Machine method to classify data and testingis carried out using the RBF kernel function with C parameters,namely 10, 50, and 100. The results show that the Support VectorMachine method with a C parameter value of 100 has betterperformance. This is evidenced by the increased accuracy of the RBFC=100 kernel, which is 99%.
Automatic Data Extraction Utilizing Structural Similarity From A Set of Portable Document Format (PDF) Files Hadipurnawan Satria; Anggina Primanita
Sriwijaya Journal of Informatics and Applications Vol 4, No 2 (2023)
Publisher : Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/sjia.v4i2.89

Abstract

Instead of storing data in databases, common computer-aided office workers often choose to keep data related to their work in the form of document or report files that they can conveniently and comfortably access with popular off-the-shelf softwares, such as in Portable Document Format (PDF) format files. Their workplaces may actually use databases but they usually do not possess the privilege nor the proficiency to fully utilize them. Said workplaces likely have front-end systems such as Management Information System (MIS) from where workers get their data containing reports or documents.These documents are meant for immediate or presentational uses but workers often keep these files for the data inside which may come to be useful later on. This way, they can manipulate and combine data from one or more report files to suit their work needs, on the occasions that their MIS were not able to fulfill such needs. To do this, workers need to extract data from the report files. However, the files also contain formatting and other contents such as organization banners, signature placeholders, and so on. Extracting data from these files is not easy and workers are often forced to use repeated copy and paste actions to get the data they want. This is not only tedious but also time-consuming and prone to errors. Automatic data extraction is not new, many existing solutions are available but they typically require human guidance to help the data extraction before it can become truly automatic. They may also require certain expertise which can make workers hesitant to use them in the first place. A particular function of an MIS can produce many report files, each containing distinct data, but still structurally similar. If we target all PDF files that come from such same source, in this paper we demonstrated that by exploiting the similarity it is possible to create a fully automatic data extraction system that requires no human guidance. First, a model is generated by analyzing a small sample of PDFs and then the model is used to extract data from all PDF files in the set. Our experiments show that the system can quickly achieve 100% accuracy rate with very few sample files. Though there are occasions where data inside all the PDFs are not sufficiently distinct from each other resulting in lower than 100% accuracy, this can be easily detected and fixed with slight human intervention. In these cases, total no human intervention may not be possible but the amount needed can be significantly reduced. 
Co-Authors Abdiansah Abdiansah Abdiansah, Abdiansah Abdurahman Abdurahman Ahmad Fali Oklilas Ahmad Nizar Ahmad Zarkasi Ananda Haykel Iskandar Athalaza, Muhammad Nawar Danny M. Saputra Darmawijoyo, Darmawijoyo Dedy Fitriady Fitriady Dian Palupi Rini Egga Asoka Ermatita - Fathoni Fathoni Frendredi Muliawan Hadi Purnawan Satria Hadi Purnawan Satria Hadipurnawan Satria Hadipurnawan Satria Hasby Rifky Idawati Idawati Isa, Indra Griha Tofik Iskandar, Ananda Haykel Jambak, Muhammad Ihsan M. Fachrurrozi . M. Nazhif Rizani Muhammad Afif Muhammad Fachrurrozi Muhammad Nawar Athalaza Muhammad Qurhanul Rizqie Muhammad Qurhanul Rizqie Muhammad Rasuandi Nugraha, Wibisena Osvari Arsalan Rafly Pakomgan Ramadhan, Muhammad Fajar Rizki Kurniati Rusdi Efendi Samsuryadi Samsuryadi Saparudin Saparudin Saputra, Tommy Sri Desy Siswanti Sutarno Sutarno Sutarno Sutarno Sutarno Syahroyni, Muhammad Syamsul Arifin Syamsuryadi Syamsuryadi Wibisena Nugraha