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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Teknika: Jurnal Sains dan Teknologi RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Pengabdian Masyarakat Waradin Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Jurnal Publikasi Manajemen Informatika (JUPUMI) Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Jurnal Kabar Masyarakat International Journal of Economics, Commerce, and Management International Journal of Economics and Management Sciences Mikroba: Jurnal Ilmu Tanaman, Sains dan Teknologi Pertanian International Journal of Computer Technology and Science International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science
Ira Zulfa
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Implementasi data mining untuk menentukan strategi penjualan buku bekas dengan pola pembelian konsumen menggunakan metode apriori Ira Zulfa; Rayuwati Rayuwati; Khaidir Koko
Jurnal Teknika Vol 16, No 1 (2020): Edisi Juni 2020
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/tjst.v16i1.7601

Abstract

Proses jual beli yang ada pada toko buku bekas memiliki kendala, yaitu penyimpanan data penjualan masih secara tertulis. Hal itu berakibat pada sulitnya menemukan buku yang diinginkan karena penyusunan buku belum rapi. Penggunaan teknik data mining diharapkan dapat membantu mempercepat proses pencarian buku serta memenuhi kebutuhan pelanggan, salah satunya metode apriori. Metode Apriori berguna dalam penyusunan itemset. Tahapanan algoritma dari metode apriori ini dimaksudkan untuk menghasilkan dataset serta frekuensi dari data transaksi pembelian produk pada bulan desember tahun 2019. Berdasarkan analisis data, hasil persentase yang didapatkan mendekati 100% dan tidak ada persentase nilainya yang kurang dari 15% sehingga dapat disimmpulkan metode Apriori berhasil mencapai hasil yang maksimal. The process of buying and selling in a used bookstore has a constraint, namely storing sales data is still in writing. That results in difficulty finding the desired book because the book's arrangement is not neat. The use of data mining techniques is expected to help speed up the book search process and meet customer needs, one of which is the apriori method. The apriori method is useful in preparing itemset. The staging algorithm of the apriori method is intended to produce a dataset and the frequency of product purchase transaction data in December 2019. Based on data analysis, the percentage obtained is close to 100%. There is no percentage value of less than 15%, so that the Apriori method can be successfully concluded to achieve maximum results.
Sentimen Analisis Tweet Berbahasa Indonesia Dengan Deep Belief Network Ira zulfa; Edi Winarko
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 11, No 2 (2017): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.24716

Abstract

Sentiment analysis is a computational research of opinion sentiment and emotion which is expressed in textual mode. Twitter becomes the most popular communication device among internet users. Deep Learning is a new area of machine learning research. It aims to move machine learning closer to its main goal, artificial intelligence. The purpose of deep learning is to change the manual of engineering with learning. At its growth, deep learning has algorithms arrangement that focus on non-linear data representation. One of the machine learning methods is Deep Belief Network (DBN). Deep Belief Network (DBN), which is included in Deep Learning method, is a stack of several algorithms with some extraction features that optimally utilize all resources. This study has two points. First, it aims to classify positive, negative, and neutral sentiments towards the test data. Second, it determines the classification model accuracy by using Deep Belief Network method so it would be able to be applied into the tweet classification, to highlight the sentiment class of training data tweet in Bahasa Indonesia. Based on the experimental result, it can be concluded that the best method in managing tweet data is the DBN method with an accuracy of 93.31%, compared with  Naive Bayes method which has an accuracy of 79.10%, and SVM (Support Vector Machine) method with an accuracy of 92.18%.
Pemetaan Wilayah Persebaran Padi dan Kopi dengan Quantum Geographic Information System Versi 3.12.2 Ira Zulfa; Fajrillah; Richasanty Septima; May Handri; Ida Zulfida; Lili Suryati
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 3 No. 6 (2023): RESOLUSI July 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v3i6.1005

Abstract

QGIS is a Geographic Information System (GIS) software used to analyze and map geographic data. In the context of mapping the distribution of rice and coffee, QGIS can be used to extract spatial data related to factors such as soil type, climate, elevation, or other environmental factors that affect the distribution and growth of these plants. analyzed. This study used QGIS software version 3.12.2 to map the distribution areas of rice and coffee. Rice and coffee are two important crops in agriculture and understanding their distribution can help in farm management and planning. The mapping methods used may include spatial data analysis, including using available spatial data such as satellite imagery or field data to identify and map areas suitable for rice and coffee cultivation and production. Paddy and coffee line mapping can provide an overview of growth patterns, availability of suitable land, or other environmental factors that affect the production of these crops. This information can be used in making decisions about agricultural development, resource allocation or sustainable development planning. ith using QGIS, agricultural researchers or practitioners can combine data from various sources, including satellite imagery, field data, or other data, to build maps that depict areas where rice and coffee grow well. This information can provide insight into crop distribution patterns, identify potential areas for agricultural development, or assist in making decisions regarding agricultural land management.
Pemanfaatan Teknologi Digital untuk Pengembangan Desa Toweren Richasanty Septima S; Ira Zulfa; Syahril Faizin
Jurnal Kabar Masyarakat Vol. 2 No. 4 (2024): November : JURNAL KABAR MASYARAKAT
Publisher : Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jkb.v2i4.2672

Abstract

Science is developing over time. The development of this science supports the creation of new technologies that mark the progress of the times. One of them is digital technology. Technology in the current era is experiencing rapid development. Technological advances that have gone global have influenced all aspects of life, both in the fields of economy, health, art, public services and education. Digital Technology is an information technology that prioritizes activities carried out by computer or digital rather than using human labor. With the development of digital technology, many fields have benefited from its development. With the development of digital technology, many fields have benefited from its development. With this technology, the village community must also be able to feel the ease of accessing technology because nowadays the village is encouraged to progress and be independent, with the hope of developing the various potentials it has for the progress of its village development, but of course in some villages it is possible not to take advantage of this digital technology because of that community service conducts training. The methods used are training, discussion and practice. The results of the training were a significant increase from 31% to 94% of participants who already understood and knew about the use of digital technology. From the increase in the understanding of village and community officials, it means showing the improvement of the digital literacy skills of the trainees and showing that the goals of this training are quite achievable and successful.
Data Search System for Thesis and Internship Reports in the Library of the Faculty of Engineering, Gajah Putih University Takengon Ira Zulfa; Eliyin Eliyin; Rayuwati Rayuwati; Riski Wanda
International Journal of Economics, Commerce, and Management Vol. 2 No. 1 (2025): January : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v2i1.403

Abstract

The purpose of this research is to develop a data search system for thesis and internship reports at the Faculty of Engineering Library of Gajah Putih University Takengon (UGP). This search engine will be created and used to help students and library employees access thesis and internship report information. Analysis of user needs, system design, creation of effective search algorithms, and evaluation of system performance are all topics that will be discussed in this thesis. Interviews with potential users, satisfaction surveys, and historical data collection of library usage are the methods used. It is expected that the results of this research will help library users find and retrieve thesis and internship report data and improve the accessibility and availability of academic information at the UGP Faculty of Engineering. When search engine technology is used, it is expected that the time required for Information will increase productivity, improve efficiency, and support the academic development of students at UGP.
Prediction Of Laptop Sales Using The K-Nearest Neighbor Method At The MVP Computer Mawar Store, In Takengon Adi Kurniawan; Rayuwati Rayuwati; Ira Zulfa
International Journal of Economics and Management Sciences Vol. 1 No. 2 (2024): May : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v1i2.33

Abstract

This research relates to predictions of laptop sales in computer shops in Central Aceh, with a focus on laptop brands Acer, Asus, HP and Lenovo. Over the last three years, sales of these laptops have reached 1,629 units, with a monthly average of between 108 and 150 units. Business owners today prefer brands with the highest percentage of sales, but this can lead to dead stock problems. Therefore, the author proposes using data mining techniques, especially the K-Nearest Neighbor (K-NN) method, to make recommendations for the number of products to be purchased by business owners based on past sales data. The K-NN method requires complete, structured and continuous sales data. It is important to choose an appropriate K value, and other factors such as weather, seasons, promotions, and special events also affect laptop sales. K-NN models may need to be combined with other data to improve prediction accuracy. It is hoped that this research will provide academic benefits in expanding knowledge about the use of the K-NN method in sales prediction, as well as practical benefits for business owners in planning their sales strategies. The research conclusions highlight the importance of good data collection, choosing the right K value, and considering external factors in the laptop sales prediction process.
Predicted Increase in Gold Price Every Year with Impact on Economic Factors Muhajir Isnin; Ira Zulfa
International Journal of Economics and Management Sciences Vol. 1 No. 4 (2024): November : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v1i4.359

Abstract

The purpose of this study is to develop a predictive model to predict the trend of the emas price over time and to investigate how this affects important economic variables. As a popular commodity that is regarded as a safe refuge for investments, changes in the price of emas can have a significant impact on a number of economic indicators, such as inflation, consumer spending, and investment decisions. Compiling historical data on emas prices, macroeconomic variables, and other related topics is a component of research methodology. Regression analysis and ARIMA modeling are two methods of deret waktu analysis that can be used to create an andal model of problems. The model's predictive accuracy is then determined by using appropriate statistical metrics. This study's findings provide new and important information about the factors influencing changes in the price of emas and how they affect the economy as a whole. The model that is being used can be used by investors, financial institutions, and policymakers to predict gold price movements and make informed decisions to mitigate risks and capitalize on opportunities. The implications of this research extend all the way to the emas market since it increases our understanding of the close relationship between commodity prices and economic dynamics. The knowledge gained can help create more comprehensive investment and economic policies, which will eventually affect the stability of the economy and economic growth.
Comparative Investigation of Activity Rendering Utilizing Eevee, Cycles, and Radeon ProRender Procedures in Blender Applications Ira Zulfa; Richasanty Septima; Iryana Rezeki; Rayuwati Rayuwati
International Journal of Information Engineering and Science Vol. 2 No. 1 (2025): International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.147

Abstract

The development of mixed-media technology has produced a variety of high-quality 3D animation techniques. This study examines the performance of three rendering techniques—Eevee, Cycles, and Radeon ProRender—based on rendering speed, visual quality, and memory efficiency. Tiga show 3D is rendered using the aforementioned ketiga technique and is compared in terms of speed, record size, bayangan, cahaya effect, and warning ketetapan. As a result, Eevee is unggul in kecepatan, while Cycles has the best visual quality, albeit being more lambat. Radeon ProRender provides impressive results, but it also excels in bayangan quality and cahaya effect. The use of Blender is recommended based on memory efficiency, graphic quality, or speed priorities.
Pegolahan Jenis Sampah untuk Mengurangi Volume Sampah di Desa Asir-Asir Kecamatan Aceh Tengah Ira Zulfa; Richasanty Septima; Eliyin Eliyin; Muhamad Yustisar
Jurnal Publikasi Manajemen Informatika Vol. 4 No. 1 (2025): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v4i1.3649

Abstract

In many areas, such as Asir-Asir Village, waste is a major problem. Analyzing the most common categories of waste and assessing waste management initiatives to reduce the amount of waste in the village were the objectives of this study. Data regarding waste composition, collection systems, and waste disposal were collected using survey, interview, and observation techniques. The results showed that most of the waste in Asir-Asir Village is organic waste. Waste segregation at source is one of the management initiatives that have been carried out, but organic waste processing still faces challenges. Based on these results, this study suggests several tactical steps to improve the effectiveness of waste management, including enhancing composting programs, creating waste banks, and encouraging social interaction to educate the community on the value of environmentally friendly waste management. As a result, it is expected that Asir-Asir Village will have a cleaner and healthier environment with less waste going to landfill.  
Analisa Pendapatan Usaha Daging Sapi di Pasar Bawah Takengon Kabupaten Aceh Tengah Firmansyah Firmansyah; Azhari Azhari; Ira Zulfa
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Vol. 3 No. 1 (2025): Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/wawasan.v3i1.3105

Abstract

The problem so far is that there is no determination of how much beef business income, especially in the lower market of Takengon, so to find out the amount of beef business income in the Lower market of Takengon, an analysis of income measured in economic terms is made. The data collection method used is a field study technique, which is research conducted directly on the object by interviewing beef sellers, especially in the lower market area of Takengon which will be analyzed by quantitative methods by comparing field data based on ratio calculations using the income formula. The results showed that the total costs incurred for the beef business within one year reached Rp. 274,700,000 with an average of Rp. 22,891,700 while the amount of production in the beef business within one year reached Rp. 447,600,000 in one year with an average receipt of Rp. 37,300,000 and the net profit received within one year was Rp. 65,300,000 with an average profit per month of Rp. 5,441,000.
Co-Authors Adellia Divandariga S Adi Kurniawan Asyam Amrullah Ar-ramdhi Azhari Azhari Edi Winarko Eliyin Eliyin Eliyin, Eliyin Fajrillah Faradilla Faradilla Firmansyah Firmansyah Firmasyah Firmasyah Fitranuddin Fitranuddin Hajar Ashwad Hendri Syahputra Ida Zulfida Ilhamdi Ilhamdi Iryana Rezeki Isranuddin Harun Khaidir Koko Lili Suryati May Handri Muhajir Isnin Muhamad Yustisar Muhammad Riski Aulia Muhammad Yustisar Rapiah Rapiah Rayuwati Rayuwati Richasanty Septima Richasanty Septima S Riski Wanda Salmandi Salmandi Syahril Faizin Syukri Mahara Zikri Syah Dermawan Zulida Susanti