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All Journal JoMMiT : Jurnal Multi Media dan IT Journal of Information System and Education Development SMART : Jurnal Teknologi Informasi dan Komputer
Lela Budiarti
Universitas Muhammadiyah Tapanuli Selatan
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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Analisis Pemanfaatan Teknologi Informasi dalam Meningkatkan Kualitas Pendidikan di Era Digital Lela Budiarti; Alwendi; Andi Saputra Mandopa
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 4 No. 2 (2025): July - December
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/70pwb198

Abstract

Digital innovation is an important aspect in improving educational performance in the era of ever-evolving technology. This study aims to explore the impact of implementing a digital-based management system in improving school operational efficiency and the quality of education. The focus of the problem in this study is how the implementation of technology can improve various managerial aspects in the world of education, including administrative management, learning processes, and communication between educators, students, and parents. The use of Information Technology in education has become a key factor in improving the quality of learning in the digital era. This study aims to analyze how the application of ICT contributes to improving the quality of education, both in terms of learning methods, access to information, and the effectiveness of interactions between educators and students. The research methods used are literature studies and qualitative analysis of various ICT implementations in formal and non-formal education environments. The results of the study show that the use of ICT, such as e-learning platforms, digital learning applications, and educational social media, can enrich the learning process, increase learning motivation, and expand the reach of education to previously difficult-to-reach areas. However, challenges such as the digital divide, lack of teacher training, and limited infrastructure still need serious attention. Thus, optimal and sustainable ICT integration is needed to support the achievement of quality education in the digital era.
Application Of The TOPSIS Method For Prioritizing The Procurement Of Goods Stock Based On Sales Rates In Alfamidi Sadabuan Alya Hutri Yani; Aulia Ramdhani; Lela Budiarti
Journal of Information System and Education Development Vol. 4 No. 2 (2026): Journal Of Information System And Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62386/jised.v4i2.243

Abstract

This study aims to design a Decision Support System (DSS) to objectively determine restocking priorities in Dawa Supermarket. The main challenge faced is the difficulty in identifying which items should be prioritized for reordering amidst fluctuating sales levels and product diversity, which poses the risk of understocking or overstocking. The method used is the Technique of Preference Ordering by Similarity to the Ideal Solution (TOPSIS), utilizing evaluation criteria such as sales levels, remaining stock, lead time, and item prices. The calculation process involves identifying alternatives with the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution to produce a final preference value. The results show that the application of the TOPSIS method provides more accurate and measurable recommendations for procurement priorities, thereby assisting Dawa Supermarket management in optimizing shelf availability and improving working capital turnover efficiency
Sistem Pendukung Keputusan Pemilihan Lokasi Perumahan Terbaik Menggunakan Metode TOPSIS di Daerah Jalan Baru Yogi Syahputra; Rizky Sapandi Panggabean; Lela Budiarti
Journal of Information System and Education Development Vol. 4 No. 2 (2026): Journal Of Information System And Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62386/jised.v4i2.246

Abstract

The selection of an optimal housing location is a complex decision-making process involving multiple conflicting criteria, such as accessibility, environmental conditions, land price, and proximity to public facilities. This study develops a Decision Support System (DSS) for selecting the best housing location in the Jalan Baru area using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method is chosen for its ability to rank alternatives based on their geometric distance to both positive and negative ideal solutions. Several criteria were considered, including land price, distance to the city center, road access, availability of utilities (water, electricity), and proximity to schools, markets, and health facilities. Data were collected through field surveys and spatial analysis. The results show that the TOPSIS method effectively identifies the most suitable housing location by providing a clear preference order among alternatives. The proposed DSS offers a transparent, systematic, and objective tool for property developers and local governments to support housing site selection decisions. This study contributes to the application of multi-criteria decision-making in urban planning and real estate development
Analysis of Best Intrusion Detection System Software Selection for Cloud Infrastructure Using the Analytical Hierarchy Process (AHP) Method Rifanni Nurdin; Putri Harahap; Lela Budiarti
Journal of Information System and Education Development Vol. 4 No. 2 (2026): Journal Of Information System And Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62386/jised.v4i2.251

Abstract

Selecting the right security software is a critical decision for cloud infrastructure managers. This research aims to determine the best Intrusion Detection System (IDS) software using the Analytical Hierarchy Process (AHP) method. The evaluation process involves several key criteria, such as detection accuracy, resource consumption, ease of implementation, and cost. Several IDS alternatives, including Snort, Suricata, and Zeek, were compared through pairwise comparisons to obtain a priority ranking. The results of this study provide a quantitative basis for decision-making in choosing the most effective security solution. The implementation of AHP proves to be efficient in resolving complex multi-criteria problems in the field of cloud security
A Decision Support System for the Selection of Outstanding Students Using the SAW (Simple Additive Weighting) Method at SMA Negeri 1 Padang Nabil Nazran Harianto; Airin Mai Winata; Lela Budiarti
Journal of Information System and Education Development Vol. 4 No. 2 (2026): Journal Of Information System And Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62386/jised.v4i2.255

Abstract

The selection of outstanding students is an important process in educational institutions to recognize academic and non-academic achievements. However, the process is often carried out subjectively and lacks a systematic approach, which can lead to less accurate and inconsistent results. This study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to assist in selecting outstanding students at SMA Negeri 1 Padang. The SAW method is applied to evaluate multiple criteria, including academic performance, extracurricular activities, attendance, behavior, and achievements. Each criterion is assigned a weight based on its level of importance, and the alternatives (students) are ranked according to the final score obtained from the SAW calculation. The results of this study indicate that the proposed system is capable of providing objective, transparent, and efficient recommendations in determining outstanding students. The implementation of the DSS is expected to support decision-makers in producing fair and accurate selections
Metode Naïve Bayes Untuk Analisis Sentimen Kenaikan PPN 12% Di Media Sosial Tiktok Lela Budiarti; Alwendi; Muhamad Rafi Akbar
JoMMiT Vol 9 No 2 (2025): Artikel Jurnal Volume 9 Issue 2, Desember 2025
Publisher : Politeknik Negeri Media Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46961/jommit.v9i2.1815

Abstract

Pajak merupakan salah satu sumber utama pendapatan negara, termasuk di Indonesia. Pajak telah menjadi sumber penerimaan terbesar bagi negara sejak dahulu dan berperan penting dalam mendukung pembangunan nasional. Salah satu sumber pendapatan terbesar berasal dari pajak, termasuk Pajak Pertambahan Nilai (PPN). Kenaikan PPN dapat menimbulkan beberapa masalah, termasuk potensi berbelanja di luar negeri seiring dengan kenaikan harga barang dan jasa di Indonesia. Dengan kenaikan PPN ini, maka harga barang akan mengalami kenaikan dan penjualan akan mengalami penurunan sehingga berdampak pada turunnya sektor barang dan jasa. Rencana kenaikan PPN ini kemudian viral di perbincangkan di media sosial salah satunya yaitu Tiktok. Banyak masyarakat memperdebatkan rencana kenaikan sehingga terjadinnya pro dan kontra terhadap rencana kenaikan PPN ini. Oleh sebab itu penelitian ini bertujuan untuk melakukan klasifikasi komentar dari Tiktok mengenai PPN 12% dengan menggunakan metode naive bayes classifier. Beberapa tahap yang dilakukan yaitu crawling data, pelabelan data, preprocessing, ekstraksi fitur, klasifikasi dengan naive bayes classifier dan pengujian dengan confusion matrix. Dataset yang didapat merupakan hasil crawling data dari komentar yang ada di media sosial Tiktok mulai tanggal 1 Desember sampai dengan 15 Januari 2025. Dari 900 data komentar, hasil pengujian mendapatkan akurasi 96%, presisi 98%, recall 96%, dan fi-score 97%.
Co-Authors Adam Gibran Adhitya Airin Mai Winata Alwendi, Alwendi Alya Hutri Yani Andi Saputra Mandopa Aulia Ramdhani Lisvaulina Dewi Ritonga Muhamad Rafi Akbar Nabil Nazran Harianto Putri Harahap Rifanni Nurdin Rizky Sapandi Panggabean Yogi Syahputra