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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika CommIT (Communication & Information Technology) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Telematika JUITA : Jurnal Informatika Seminar Nasional Informatika (SEMNASIF) POSITIF Annual Research Seminar JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Ilmiah Matrik Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Ilmiah Media Sisfo J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Informatika Global Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknologi Informatika dan Komputer Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal of Computer and Information Systems Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Journal of Applied Computer Science and Technology (JACOST) Jurnal Nasional Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Bina Komputer Indonesian Journal of Innovation Multidisipliner Research Ngabdimas Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Indonesian Journal of Innovation Multidisipliner Research Journal of Computer Science and Technology Application
Yesi Novaria Kunang
Universitas Bina Darma
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Analisis IT Strategic Plan Terhadap Pengembangan Infrastruktur IT Menggunakan Metode Ward And Peppard di Sekolah Menengah Kejuruan Rianda, M. Rianda; Kunang, Yesi Novaria; Negara, Edi Surya; Herdiansyah, Izman
Jurnal Ilmiah Media Sisfo Vol 18 No 1 (2024): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2024.18.1.1632

Abstract

SMK Negeri 2 Palembang merupakan Sekolah Menengah Kejuruan Negeri di Kota Palembang Provinsi Sumatera Selatan yang proses bisnisnya bergerak di bidang pendidikan. Dalam aktivitas bisnisnya, memerlukan sistem informasi (SI) dan teknologi informasi (TI). Namun keberadaan SI/TI yang belum terintegrasi. Sehingga, diperlukan IT Strategic Plan menggunakan metode Ward and Peppard. Proses analisis dibagi tiga tahap, yaitu analisis kondisi saat ini, identifikasi kebutuhan mendatang dan formulasi strategi dengan menggunakan alat analisis dalam IT Strategic Plan dipenelitian ini meliputi SWOT, PEST, Porter’s Five Competitive Forces, Value Chain,Critical Success Factor, Kesenjangan dan McFarlan Strategic Grid. Hasil dari formulasi strategi Sistem Informasi mencakup rekomendasi perbaruan dua aplikasi dan pengembangan sebelas aplikasi baru. Formulasi strategi Teknologi Informasi direkomendasi penggunaan Internet of Things, Virtual Private Network, Cloud Computing, serta perangkat teknologi Augmented Reality dan Virtual Reality. Formulasi strategi manajemen SI/TI mencakup rekomendasi Standar Operasional Prosedur TI, Pembuatan Tata Kelola TI, dan penyusunan master plan TI. Untuk portofolio aplikasi mendatang, berupa ringkasan rekomendasi, kebijakan dan Road Map SI/ TI
Machine Learning-Based E-Archive for Archives Management of South Sumatra Province Atmojo, Toni Tri; Kunang, Yesi Novaria
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.566

Abstract

Archives play a crucial role in institutional operations, yet efficiently retrieving specific information from them can be challenging. This research addresses this issue by developing an information retrieval system that incorporates advanced methods to enhance search efficiency. The system employs the TF-IDF (Term Frequency-Inverse Document Frequency) formula, which assesses the significance of a word within a document set, and the BM25 method, a sophisticated algorithm for ranking documents based on their relevance to the input query. Both methods undergo a preprocessing stage, enabling the system to calculate the relevance of each document to the given query accurately. The effectiveness of this system is evaluated using key performance metrics: precision (accuracy), recall (completeness), and the F1 Score (the harmonic means of precision and recall, representing the best value). Testing with various keywords revealed that the BM25 method yielded impressive results, achieving an average precision of 0.75, recall of 0.6, and an F1 Score of 0.6665. In contrast, the TF-IDF method scored lower, with a precision of 0.33, recall of 0.2, and an F1 Score of 0.2500. The system was tested using a dataset of 350 documents.
The Performance Analysis of SIKITO LLDIKTI Region II System using COBIT 2019 Framework: A Case Study Wulandari, Intan Fitriana; Herdiansyah, Muhammad Izman; Kunang, Yesi Novaria; Cholil, Widya; Ariandi, Muhamad; Ependi, Usman
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.832

Abstract

In today's organizational landscape, information technology plays a critical role in supporting ongoing activities. Therefore, it is essential to conduct an analysis to determine the advantages and disadvantages of IT implementation. This research focuses on the Higher Education Service Institute (LLDIKTI) Region II, a government agency responsible for improving the quality of higher education in its working area. LLDIKTI Region II uses an information technology system that aligns with the Institute's vision and mission. However, the governance level of the Online Functional Position Information System known as SIKITO has never been assessed, highlighting the need for a maturity framework to measure SIKITO's level and align it with LLDIKTI's vision and mission goals. COBIT 2019 is a framework that aligns with the vision and mission of LLDIKTI and demonstrates how each stakeholder's differences affect the use of information technology based on the maturity level of the implemented system. This research applied the COBIT 2019 framework in LLDIKTI Region II, utilizing the APO07, BAI08, and MEA03 domains. The results indicate that SIKITO's maturity level is below the expected value of -2.33, indicating a need for further development. This research contributes to the field by providing insights into the importance of aligning IT governance with an organization's vision and mission, and the role of maturity frameworks such as COBIT 2019 in achieving this alignment.
Image segmentation of Komering script using bounding box Hamanrora, Muhammad Dio; Kunang, Yesi Novaria; Yadi, Ilman Zuhri; Mahmud, Mahmud
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i3.pp1565-1578

Abstract

The development of deep learning technology is widely used for various purposes, including recognizing characters in a document. One of the scripts that can benefit from this deep learning technology is the Komering script, which is a local script in the South Sumatra region. However, there are challenges in reading documents written in this script, requiring a method to separate each character in a document. Therefore, there is a need for a technology that can automatically segment images of documents written in the Komering script. This research introduces an innovative technique for segmenting images of characters in documents that contain Komering script characters. The segmentation technique employs bounding box technology to separate each Komering script character, subsequently recognized by a pre-trained deep learning model. The bounding box approach imposes restrictions on the segmented object area. To recognize Komering characters, a deep learning model with a convolutional neural network (CNN) algorithm is employed.
Clustering Model for OKU Timur Script Images Toriko, Liu; Purnamasari, Susan Dian; Kunang, Yesi Novaria; Yadi, Ilman Zuhri; Andri, Andri
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 1 (2025): JANUARY
Publisher : ISB Atma Luhur

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

Abstract

Abstract— The OKU Timur is a regency located in South Sumatra Province. In the OKU Timur region there are many historical heritage sites, one of which is the script. In general, script is a system of symbols for writing language. The OKU Timur script is a writing system that is usually used by the local community. This writing system is characterized by its unique characters and has high historical and aesthetic value for the local community. The OKU Timur script is used in daily communication, traditional ceremonies, historical documents, and various other cultural contexts. This research aims to develop a clustering model that is used to efficiently and accurately group Of OKU Timur script images based on certain characteristics. By using techniques in the field of clustering such as the K-Means algorithm this model is developed so that the clustering of OKU Timur script images is made automatically in order to save time and effort. The study employs the K-Means algorithm to divide the data into several clusters, grouping data with similar characteristics into one cluster and data with different characteristics into another. This research is also expected to contribute to preserving digital culture so that the development of OKU Timur characters can be passed on to future generations.Keywords— OKU Timur Script, Clustering, K-Means
Evaluasi dan Peningkatan Keamanan Pada Sistem Informasi Akademik Universitas XYZ Palembang Fajarino, Aldo; Kunang, Yesi Novaria; Yudha, Hendra Marta; Negara, Edi Surya; Damayanti, Nita Rosa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.702

Abstract

As one of the universities in Palembang City, XYZ University has its own web server that functions as an information system in the academic and financial activities of its users. Testing of security systems on information systems needs to be done, web server security is very important to avoid destruction, data theft, data manipulation, and so on. In this study, the OWASP framework and the ISSAF framework were used and then the two methods were compared. The results of this study found several security holes that have been recommended to developers and successfully repaired. There needs to be a comprehensive improvement starting from server configuration, sanitization improvement of character input filters from users, installation of Intrusion Detection System and Intrusion Prevention System.
Analisis Prediksi Jangka Panjang COVID 19 Fase ke 3 di Indonesia menggunakan Deep Learning Herferry, Ibrahim Ade; Ferdiansyah, F; Kunang, Yesi Novaria; Purnamasari, Susan Dian
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.474

Abstract

This research is motivated by the ongoing impact of the COVID-19 pandemic, which continues to pose challenges for Indonesia, affecting both the economy and daily life. Therefore, this study will discuss long-term predictions for the third phase of COVID-19 in Indonesia using a Deep Learning model. The analysis aims to assist various stakeholders in developing better planning strategies to address COVID-19 in Indonesia. In conducting this research, the author employs neural networks to create a hybrid model combining GRU and LSTM algorithms. Utilizing RMSE and MAPE values, it can be concluded that the model's performance in predicting COVID-19 cases is influenced by the number of epochs used. Furthermore, the model demonstrates optimal performance at 150 epochs for predicting the number of COVID-19 cases in the next 7 days
Evaluasi dan Peningkatan Keamanan Pada Sistem Informasi Akademik Universitas XYZ Palembang Fajarino, Aldo; Kunang, Yesi Novaria; Yudha, Hendra Marta; Negara, Edi Surya; Damayanti, Nita Rosa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.702

Abstract

As one of the universities in Palembang City, XYZ University has its own web server that functions as an information system in the academic and financial activities of its users. Testing of security systems on information systems needs to be done, web server security is very important to avoid destruction, data theft, data manipulation, and so on. In this study, the OWASP framework and the ISSAF framework were used and then the two methods were compared. The results of this study found several security holes that have been recommended to developers and successfully repaired. There needs to be a comprehensive improvement starting from server configuration, sanitization improvement of character input filters from users, installation of Intrusion Detection System and Intrusion Prevention System.
Pendampingan Pengembangan Aplikasi Statistik Komoditi Berbasis Web pada Dinas Perkebunan Sumatera Selatan Dzakwan, Fadhlur Rahman; Kunang, Yesi Novaria; Yadi, Ilman Zuhri; Afiyudi, Afiyudi
Jurnal Nasional Pengabdian Masyarakat Vol. 6 No. 1 (2025): Jurnal Nasional Pengandian Masyarakat
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jnpm.v6i1.2586

Abstract

This article discusses a community service program involving assistance in developing a web-based commodity statistical application at the South Sumatra Plantation Office. This activity aims to enhance data processing efficiency and disseminate information related to plantation commodities. This program involves training staff in the use of information technology and developing applications that meet user needs. The methodologies applied include needs analysis, system design, implementation, and application evaluation. The assistance results indicate a significant improvement in data accuracy and ease of information access, positively impacting policy decision-making in the plantation sector. This activity is expected to contribute to developing similar applications in other government agencies and encourage the use of technology in commodity data management.
Rule-Based Transliteration of Ulu Kaganga Script using Character Mapping Yadi, Ilman Zuhri; Kunang, Yesi Novaria; Sari, Tia Permata; Mahmud, Mahmud; Ramadhona, Nuzulur
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.1000

Abstract

Ulu Kaganga script is a historical writing tradition that developed in the southern region of Sumatra. With the widespread use of Latin script, the Ulu Kaganga script has become rare, and very few people can read and write in this script. To preserve the Ulu script, a tool is needed to assist in transliterating Latin text into the Ulu script. This research aims to preserve the Ulu script with the help of technology. In this study, a mobile and web-based application has been developed to transliterate the Ulu Kaganga script from Latin text. The technique used for this script conversion is rule-based, which is employed to break words into syllables and map those syllables into Ulu script characters. Through the rule-based technique and character mapping, adding Indonesian syllables and writing Ulu Kaganga script characters, consisting of 1139 primary characters, becomes easy. This application has been repeatedly tested to improve the mapping of Ulu script characters. The results of testing the application to transliterate 1746 words from Latin script were successful in transliterating. The tests conducted show that the approach used is very effective, with a transliteration accuracy from Latin to Ulu script of 99.98% The testing results show that the application can transcribe text accurately and conveniently, allowing non-expert users to write in Ulu script characters.
Co-Authors Adam Prasetya Afiyudi, Afiyudi Afriyudi Agus Setiawan Agus Setiawan Ahmad Zarkasi Andika, Muhamad Andri Andri Anggie Khristian Ariandi, Muhamad Arief Algiffary Armansyah, Risky Atmojo, Toni Tri Beni Brahara Bhakti Yudho Suprapto Damayanti, Nita Rosa Darmawahyuni, Annisa Dedy Syamsuar Dedy Syamsuar Deris Stiawan Dinata, Aria Dzakwan, Fadhlur Rahman Edi Surya Negara Egy Septian Eka Puji Agustini Endang Etriyanti Fajarino, Aldo Ferdiansyah Ferdiansyah Fernandy Jupiter Fikri, M Finaldo, Muhammad Firdaus Firdaus Firdaus Gllen yusuf abbel Hamanrora, Muhammad Dio Hellen Puspita Sari Hendra Marta Yudha Herdiansyah, Izman Herdiansyah, M. Izman Herdiansyah, M. Izman Herferry, Ibrahim Ade Ilman Zuhri Yadi Ilman Zuhriyadi Inda Anggraini Irwansyah Ibrahim Kurniawan Kurniawan Kurniawan, Tri Basuki Lang Dimas Perkasa Leon Andretti Abdillah Liza Fahreni M Izman Herdiansyah Mahmud Mahmud Mahmud Mahmud Maria, Fitri Muhammad Fachrurrozi Muhammad Hatta Muhammad Izman Herdiansyah Muhammad Naufal Rachmatullah Netti Herawati Novi Yusliani Novifika, Seva Parker, Jonathan Permatasari, Susan Dian Prasetya, M. Iqbal Pratiwi, Ayu Okta Prilsafira, Tania Putra, Muhammad Hatta Ramadhan, Dwi Nur Ramadhona, Nuzulur Rianda, M. Rianda Rio Ananda Fitriansyah Sapitri, Wulan Sari, Tia Permata Siti Nurmaini Sri Murniati Suryayusra - Susan Dian Purnamasari, Susan Dian Taqrim Ibadi Tata Sutabri Toriko, Liu Tri Basuki Kurniawan Usman Ependi Via Sukma Cendanie Widya Cholil Widya Putri Mentari Winoto Chandra Wulandari, Intan Fitriana Yanti Pasmawati Yayuk Ike Meilani Yudi, Endang Darmawan Yustida Bellini Ziqrullah, Muhammad Hafiz Zulkifli Harahap Zulkifli Harahap