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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Prosiding Snastikom Jurnal Sistim Informasi dan Teknologi Prioritas : Jurnal Pengabdian Kepada Masyarakat
Dedy Irwan
Universitas Harapan Medan
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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RANCANG BANGUN APLIKASI POINT OF SALE PENJUALAN KOPI DENGAN MENGGUNAKAN FRAMEWORK CODEIGNITER BERBASIS WEB Muhammad Yasir Saan; Yulia Agustina Dalimunthe; Dedy Irwan
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 4, No 1 (2023): Juni 2023
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v4i1.2892

Abstract

ABSTRAKWarung Jus Kuphi 7 merupakan warung yang bergerak di bidang kuliner yang beralamat di Jalan A. H. Nasution Komp. Metrolink D 1. Selama ini warung halim memiliki beberapa kendala seperti menyimpan data transaksi sehari – hari masih menggunakan buku, sehingga kemungkinan besar data yang di catat bisa saja hilang dikarenakan tidak dijaga dengan baik sehingga catatan tersebut tidak dapat digunakan sebagai informasi jika warung tersebut membutuhkannya. Selain itu terdapat kendala lainya seperti pencatatan stok barang kurang lengkap, mengakibatkan data yang ada stok di warung dengan catatan stock di buku sering mengalami perbedaan data. Berangkat dari permasalahan diatas penulis coba membuat aplikasi point of sale  untuk digunakan oleh warkop halim. Point of sale sendiri memiliki arti memproses data seperti pembelian, penjualan , transaksi hutang, retur penjualan, dan pelaporan transaksi yang diperlukan pebisnis membuat keputusan hasil dari penelitian ini yaitu menghasilkan suatu aplikasi point of sale untuk digunakan sebagai penjualan warung kopi. Kata Kunci : Point Of Sale, Penjualan, Warung Kopi. 
PENERAPAN SISTEM PENDUKUNG KEPUTUSAN TERHADAP PENENTUAN PEMINATAN PADA PROGRAM STUDI TEKNIK INFORMATIKA MENGGUNAKAN METODE ARAS Yuyun Dwi Lestari; Arief Budiman; Dedy Irwan
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.885

Abstract

The selection of specialization is carried out by students of the Informatics Engineering study program while still in semester 5, namely Multimedia & Computer Vision, Network & Computer Systems, Robotics & Intelligent Systems. The selection of this specialization is carried out by students so that students focus on 1 specialization only and this specialization is carried out based on elective courses, so that students are not wrong in choosing their interests and do not follow the interests chosen by their friends. The purpose of this study is as an alternative to support students to determine the specialization in accordance with the criteria and calculate the value of each criterion to choose an interest and make a decision support for the selection of specialization to help students choose the right specialization according to the criteria quickly and precisely. Therefore, in the selection of student specialization in the Informatics Engineering study program requires a Decision Support System by applying the ARAS method. The results obtained from this study are the specialization of Network & Computer Systems in rank 1 with a value of 0.83554. Multimedia & Computer Vision ranked 2nd with a value of 0.78358. Robotics & Intelligent Systems ranked 3rd with a value of 0.77223. So that the specialization of Network & Computer Systems will be an alternative.
Utilization of the Multi Attribute Utility Theory (MAUT) Method in Determining Wedding Halls in Medan City Kadrayani Kadrayani; Hasdiana Hasdiana; Dedy Irwan; Eka Rahayu; Yulia Agustina Dalimunthe
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 4, No 2 (2023)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v4i2.16019

Abstract

The building is an important part of the wedding ceremony. Especially if the event owner does not have sufficient land. So far, it's been difficult for the community to decide which wedding hall they want. Both in terms of location, building design, rental prices etc. The purpose of this research is to apply the Multi Attribute Utility Theory (MAUT) method to recommend building rental services. The criteria used to select a building are location, price, facilities, parking space capacity, and number of guests. The alternatives used are Adi Mulia Hotel Medan, Caffe Bel Mondo Medan, Andaliman Hall, Aceh Sepakat, Al-amjad Convention Hall, Wisma Mahina Center, Mutiara Suara Nafiti Convention Hall, Namaken Hall, Al-Maruf Multipurpose Building, and the Dharma Wanita Petisah Building. The results of applying the MAUT method show that the Al-Amjad Convention Hall is most recommended as the building that best fits the given criteria.
Evaluation and Improvement of E-Grocery Mobile Application User Interface Design Using Usability Testing and Human Centered Design Approach Glisina Dwinoor Rembulan; Pas Mahyu Akhirianto; Dedit Priyono; Dendy K. Pramudito; Dedy Irwan
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v5i3.282

Abstract

This study aims to determine the usability value of the e-grocery application interface design before and after repairs are carried out and provide recommendations for interface improvement designs using the Human-Centered Design (HCD) approach. The usability testing method and the system usability scale questionnaire are used to evaluate usability. The usability evaluation and design improvements to the e-grocery application have increased the effectiveness value of lower than 20% and an efficiency value of lower than 30%, with the task processing time needed by respondents being faster and improved by more than 900 seconds. And the value of satisfaction with the SUS score for the improvement design evaluation has increased, with a score difference of 30 points from the SUS score for evaluating e-grocery applications.
The Application of Artificial Intelligence for Anomaly Detection in Big Data Systems for Decision-Making Cut Susan Octiva; Dikky Suryadi; Loso Judijanto; Mitranikasih Laia; Dedy Irwan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3358

Abstract

The development of big data technology has generated huge volumes of diverse data, creating challenges in detecting anomalies that could potentially affect decision-making. This research aims to examine the application of artificial intelligence (AI) in detecting anomalies in big data systems to support faster, more accurate and effective decision-making. The approach used includes the integration of machine learning algorithms, such as classification-based detection, clustering, and deep learning, in identifying abnormal patterns in large datasets. The research method involves real-time dataset-based simulations by measuring the performance of AI models using accuracy, precision, recall, and F1-score metrics. The results show that the application of AI can significantly improve the anomaly detection capability compared to conventional methods, with an average accuracy of 92%.
Analysis of Household Electricity Consumption Patterns Using K-Nearest Neighbor (KNN) Method Cut Susan Octiva; Sultan Hady; Dedy Irwan; T. Irfan Fajri; Novrini Hasti
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3877

Abstract

The increasing demand for electricity in the household sector poses significant challenges to energy efficiency initiatives and environmental conservation efforts. Examining electricity usage patterns offers a pathway to uncover key determinants that influence consumption levels while formulating more effective strategies for energy management. This study attempts to evaluate electricity consumption patterns in the household sector using the K-Nearest Neighbor (KNN) algorithm. This approach is used to categorize consumption data based on attribute similarities among household units. The findings are expected to encourage more rational electricity usage practices, thereby reducing energy inefficiencies and strengthening efforts to conserve natural resources. Furthermore, the analysis aims to provide actionable insights for households to adopt sustainable habits and for policymakers to design targeted interventions that address peak demand periods and promote the use of energy-efficient technologies. By identifying specific behavioral and technological factors that contribute to high consumption, the results can serve as a basis for tailored programs aimed at minimizing waste and promoting long-term environmental management.
Co-Authors Abdullah Muhazir Ahmad Zakir Ahmad Zakir, Ahmad Ainun Zariah Andi Marwan Elhanafi Arie Rafika Dewi Arief Budiman Cut Susan Octiva Dalimunthe, Yulia Agustina Dedit Priyono Dendy K. Pramudito Dikky Suryadi Edy Rahman Syahputra Eka Rahayu Glisina Dwinoor Rembulan Hadinata, Edrian Hasdiana, Hasdiana Irvan Irvan Irvan, Irvan Kadrayani Kadrayani Loso Judijanto M. Fahrul Abdi Mitranikasih Laia Muhammad Yasir Saan Mutasar Novrini Hasti Pas Mahyu Akhirianto Sheila Azhari Dalimunthe Sultan Hady Tantri Hidayati Sinaga ulfa Dwi Yanti Yanti Faradillah Siahaan Yuyun Dwi Lestari