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ANALYSIS OF FACTORS INFLUENCE IMPULSIVE BUYING Husnayetti, H; Sestri, Ellya; Novida, Irma
Muhammadiyah International Journal of Economics and Business Vol. 1, No.1, 2018
Publisher : Asosiasi Fakultas Ekonomi dan Bisnis Perguruan Tinggi Muhammadiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.261 KB)

Retail business is currently showing a rapid growth. Rapid retail development has a significantimpact on sales turnover which also increased significantly, in which one source of increase in salesturnover comes from unplanned purchases or better known as impulse buying. Impulse buying canoccur due to stimulus in the department stores, which is an external stimuli. This research focuses on the influence of external stimuli such as price, promotion and customer service to impulse buying customer at Block M Square. Purposive sampling is used for sampling techniques thattakes150 respondents and multiple linear regression analysis as data analysis techniques. Fromthe results of the research analysis found that the variables such as price, promotion and customerservice have simultaneously significant effect on customer decisions in impulsive purchase. Fromthe three independent variables: Price (X1), Promotion (X2) and Customer Service (X3), it can beconcluded that the independent variable consumer service (X3) has positive effect of 0.484 to thedependent variable impulse buying (Y), the independent variable promotion (X2) has a positiveinfluence of 0.331 to the dependent variable impulse buying (Y), the independent variable price(X1) has negative influence of 0.196 to the dependent variable impulse buying (Y). The variablethat has the greatest influence on impulse buying variable is positive customer service variable(X3). Related to the results of these studies, retailers should be able to improve the ability ofshopkeepers by providing them with more detailed knowledge relevant to the offered product.

Penilaian Kinerja Dosen Dengan Menggunakan Metode AHP Studi Kasus di STIE Ahmad Dahlan Jakarta Ellya Sestri
Liquidity: Jurnal Riset Akuntansi dan Manajemen Vol 2 No 1 (2013)
Publisher : Institut Teknologi dan Bisnis Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/lq.v2i1.136

An increasingly rapid technological progress in the era of globalization in the business world, so do not rule out the possibility that a decision-making is something that is very vital in determining the decisions to be taken in the face of competitive business world. Decision making can be influenced by several aspects, this can affect the speed of decision making by the decision maker in which decisions must be quick and accurate. Lecturer Performance Assessment Using the Analytical Hierarchy Process is a decision support system that aims to assess faculty performance according to certain criteria. This system of faculty performance appraisal criteria to map a hierarchy, where each hierarchy will be performed pairwise comparison, the pairwise comparisons between criteria, so to get a comparison of the relative importance of criteria with each other. The results of this comparison is then analyzed to obtain the priority of each criterion. Once completed and performed an assessment of alternative options to be compared and calculated to obtain the best alternatives according to established criteria.

Analisis Pengaruh Persepsi Kebermanfaatan, Keamanan, Kepercayaan dan Kemudahan Terhadap Minat Menggunakan Online Banking Generasi X, Y, dan Z Husnayetti Husnayetti; Ellya Sestri
Liquidity: Jurnal Riset Akuntansi dan Manajemen Vol 8 No 2 (2019)
Publisher : Institut Teknologi dan Bisnis Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/lq.v8i2.341

The purpose of this study is to analyze the influence of perceptions of usefulness, security, trust and ease of interest in using online banking for X, Y and Z generations in the South Tangerang area. Researchers used primary data by distributing questionnaires to respondents (generations X, Y and Z). All samples taken match meet the following criteria: 1) Respondents residing in South Tangerang and 2) have used online banking. The analysis used is multiple linear regression with SPSS software. The results showed that partially for X generation, perceptions of usefulness, security, and ease had a positive effect on interest in using online banking, while the perception of trust had a negative influence on the interest in using online banking in the South Tangerang area. Meanwhile, for Y generation, perceptions of usefulness and convenience have a positive effect on the interest in using online banking while the perception of security and trust negatively affects the interest in using online banking. For the Z generation, perceptions of usefulness, trust and ease in using online banking have a positive effect, while security perceptions negatively affect the interest in using online banking. As for simultaneous analysis there is a significant influence on perceptions of usefulness, security, trust and ease of using online banking with a R2 value of 62.5% for generation X, 61.7% for generation Y and 65.1% for generation Z.

Pelatihan Penulisan Penelitian Tindakan Kelas pada Guru di Lingkungan Muhammadiyah Boarding School Ki Bagus Hadikusumo M Koesmawan; Elliya Sestri; Isnan Hari Mardika
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol 4 No 2 (2019): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Writing scientific papers is a very important activity for a professional teacher. This activity not only needs to be done in order to obtain credit figures for promotion or for the purposes of certification through portfolios, but moreover, it needs to be done in order to improve the quality of classroom management, quality of service to students, and also increase the professionalism of the teacher himself. The results of the overall community service activity can be seen based on the following components. First, the target of the training participants or target audience is 36 Muhammadiyah Boarding Schools (MBS) Ki Bagus Hadikusumo. In the implementation of this activity, it was attended by 22 teachers because there were several teachers who had activities outside of school. Thus the target number of training participants is 61.1% or can be considered quite good. Secondly, the achievement of training objectives can be judged to be poor. Within a period of two weeks as many as 9 teachers (40.9%) had tried to prepare a proposal

ANALYSIS OF FACTORS INFLUENCE IMPULSIVE BUYING H Husnayetti; Ellya Sestri; Irma Novida
Muhammadiyah International Journal of Economics and Business Vol. 1, No.1, 2018
Publisher : Asosiasi Fakultas Ekonomi dan Bisnis Perguruan Tinggi Muhammadiyah

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

Retail business is currently showing a rapid growth. Rapid retail development has a significantimpact on sales turnover which also increased significantly, in which one source of increase in salesturnover comes from unplanned purchases or better known as impulse buying. Impulse buying canoccur due to stimulus in the department stores, which is an external stimuli. This research focuses on the influence of external stimuli such as price, promotion and customer service to impulse buying customer at Block M Square. Purposive sampling is used for sampling techniques thattakes150 respondents and multiple linear regression analysis as data analysis techniques. Fromthe results of the research analysis found that the variables such as price, promotion and customerservice have simultaneously significant effect on customer decisions in impulsive purchase. Fromthe three independent variables: Price (X1), Promotion (X2) and Customer Service (X3), it can beconcluded that the independent variable consumer service (X3) has positive effect of 0.484 to thedependent variable impulse buying (Y), the independent variable promotion (X2) has a positiveinfluence of 0.331 to the dependent variable impulse buying (Y), the independent variable price(X1) has negative influence of 0.196 to the dependent variable impulse buying (Y). The variablethat has the greatest influence on impulse buying variable is positive customer service variable(X3). Related to the results of these studies, retailers should be able to improve the ability ofshopkeepers by providing them with more detailed knowledge relevant to the offered product.

MobilenetV2 Architecture To Detect Covid-19 X-Ray Imagery Widi Hastomo; Adhitio Satyo Bayangkari Karno; Ellya Sestri; Eva Karla; Stevianus Stevianus; Dodi Arif
Justek : Jurnal Sains dan Teknologi Vol 5, No 2 (2022): November
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v5i2.11820

Abstract: The COVID-19 pandemic has hit all over the world, in the last two years and has changed the pace, structure and nature of social life. This study aims to detect COVID-19 using a chest x-ray image dataset sourced from kaggle.com, which is divided into 4 categories. The proposed method is CNN with MobileNetV2 architecture, by dividing 80% train data and 20% test data into 224x224 and batch size 32. The optimizer uses SGD, lr 0.005, momentum 0.9 and epoch 20. The results of the study with the achievement of precision values for the covid category 0.99, lung opacity 0.98, normal 0.96 and viral pneumonia category reached 0.99. Further studies can use the development of the CNN model and can try with other optimizers.Abstrak: Pandemi covid-19 telah melanda diseluruh dunia, dalam dua tahun terakhir dan mengubah langkah, struktur dan sifat kehidupan bermasyarakat. Penelitian ini bertujuan untuk mendeteksi covid-19 menggunakan dataset citra chest x-ray yang bersumber dari kaggle.com, yang dibagi menjadi 4 kategori. Metode yang diusulkan yaitu CNN dengan arsitektur MobileNetV2, dengan membagi data train 80% dan data test 20% ukuran citra menjadi 224x224 dan batch size 32. Optimizer menggunakan SGD, lr 0.005, momentum 0.9 serta epoch 20. Hasil penelitian ini dengan capaian nilai presisi untuk kategori covid 0.99, lung opacity 0.98, normal 0.96 dan kategori viral pneumonia mencapai 0.99. Studi selanjutnya dapat menggunakan pengembangan dari model CNN serta dapat mencoba dengan optimizer yang lain.

IMPLEMENTATION OF THE E-COMMERCE PLATFORM TO IMPROVE TECHNOLOGY ADAPTATION IN MSMES Pandu Adi Cakranegara; Muhammad Mujtaba Mitra Zuana; Ellya Sestri; Bambang Surahman; Kurniawansyah Kurniawansyah
Jurnal Ekonomi Vol. 11 No. 03 (2022): Jurnal Ekonomi, 2022 Periode Desember
Publisher : SEAN Institute

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

In the digital age, every consumer will select online sales because it is the thing that people are currently most interested in, as it can be accessible from anywhere and at any time as long as they have an internet connection. Customers benefit from the convenience of online shopping because they do not have to travel to the business location to pick up their purchases. In reality, the marketing processes of most micro, small, and medium-sized enterprises (MSMEs) continue to rely on manual transaction processing mechanisms for direct purchases and on conventional transaction recording methods. Implementing an e-commerce information system for MSMEs so that it is easier for MSMEs and customers to conduct online transactions and MSMEs can adapt to the digital era is a research objective aimed at addressing the inadequacy of MSMEs in adapting to information technology. The results of the study indicate that the system features in e-commerce are adapted to the analysis of user needs, i.e., there are product features, ordering features, transaction detail features, and report features that facilitate product purchase transactions through the e-commerce system so that there are superior features of the system to improve quality MSME services and maintain customer loyalty in order to conduct online transactions. Blackbox testing was conducted for five system functionality testing scenarios throughout the system testing phase, with the result that the entire system performed as expected and in compliance with user requirements.

SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN LOKASI UKM (STUDI KASUS: KOTA PAYAKUMBUH) Ellya Sestri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 2 (2023): June 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i2.1306

Abstract: Payakumbuh City is a city that relies on the service and trade sectors as its main sectors. The local government seeks to improve traditional markets and build centers to encourage the establishment of Small and Medium Enterprises (SMEs). Payakumbuh City already has a modern market in the city center that is capable of producing various products. SMEs utilize potential natural resources that have not yet been commercially optimized, and assist in the processing of natural resources in the local area. Payakumbuh has the potential to become a successful SME city in the future. One application that is suitable for mapping SMEs in Payakumbuh City is a Geographic Information System (GIS). By using Geographic Information System (GIS), users can see the location of SMEs through GIS mapping, as well as products sold in Payakumbuh City. In this study, researchers designed a web system that functions as a search for SME mapping points, so that people can see the products sold in Payakumbuh City. This research aims to develop software using the waterfall model. Testing is done on software specifications, design, and coding. In this study, system testing was carried out using a black-box testing approach to all functions in the application.Keywords: geographic information system; SME; mapping; waterfall. Abstrak: Kota Payakumbuh merupakan kota yang mengandalkan sektor jasa dan perdagangan sebagai sektor utamanya. Pemerintah setempat berupaya meningkatkan pasar-pasar tradisional dan membangun pusat-pusat untuk mendorong pendirian Usaha Kecil Menengah (UKM). Kota Payakumbuh telah memiliki pasar modern di pusat kota yang mampu memproduksi berbagai produk. UKM memanfaatkan sumber daya alam yang potensial namun belum dioptimalkan secara komersial, dan membantu pengolahan sumber daya alam di daerah setempat. Payakumbuh memiliki potensi untuk menjadi kota yang sukses dalam bidang UKM di masa depan. Salah satu aplikasi yang cocok untuk memetakan UKM yang ada di Kota Payakumbuh adalah Sistem Informasi Geografis (SIG). Dengan menggunakan Sistem Informasi Geografis (SIG), pengguna dapat melihat lokasi UKM melalui pemetaan SIG, serta produk-produk yang dijual di Kota Payakumbuh. Dalam penelitian ini, peneliti merancang sebuah sistem web yang berfungsi sebagai pencarian titik pemetaan UKM, sehingga masyarakat dapat melihat produk-produk yang dijual di Kota Payakumbuh. Penelitian ini bertujuan untuk mengembangkan perangkat lunak menggunakan model waterfall. Pengujian dilakukan terhadap spesifikasi, desain, dan pengkodean perangkat lunak. Dalam penelitian ini, pengujian sistem dilakukan menggunakan pendekatan pengujian black-box terhadap semua fungsi yang ada dalam aplikasi.Kata kunci: sistem informasi geografis; UKM; pemetaan; waterfall.

Implementasi Teknik Clustering Untuk Pengelompokan Mobil Bekas Berdasarkan Grade Pada Mobi Auto Diana Yusuf; Ellya Sestri; Fahrul Razi
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 6 No. 2 (2023): J-SISKO TECH EDISI JULI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v6i2.8352

Penelitian ini bertujuan untuk mengimplementasikan teknik clustering dalam pengelompokan mobil bekas berdasarkan grade pada perusahaan Mobi Auto. Metode clustering yang digunakan ialah K-Means Clustering untuk mengelompokkan mobil bekas ke dalamÂ 3 (tiga) grade yakni grade A (Mobil Kualitas Sangat Baik), grade B (Mobil Kualitas Baik), dan grade C (Mobil Kualitas Rata-Rata). Data fitur kendararaan, kondisi fisik, riwayat perawatan, harga dan atribut tambahan dikumpulkan dan digunakan sebagai variabel dalam analisis klasterisasi. Hasil penelitian ini dapat memberikan pengelompokkan mobil bekas sesuai dengan grade yang ditetapkan oleh perusahaan. Hal ini akan membantu Mobi Auto dalam mengelola stok mobil bekas dengan lebih efisien, memberikan informasi yang akurat kepada pelanggan dan meningkatkan pengalaman pembelian mobil bekas. Implementasi K-Means Clustering ini dapat menjadi alat yang bermanfaat dalam pengelompokkan mobil bekas berdasarkan grade di perusahaan Mobi Auto. Penelitian ini memberikan dasar bagi pengembangan sistem pengelompokkan yang lebih canggih dan efektif di masa depan, serta memberikan manfaat dalam pengolahan dan analisis data secara keseluruhan untuk perusahaan penjualan mobil bekas.Â Â Â Â

Comparison of EfficientNet B5-B6 for Detection of 29 Diseases of Fruit Plants Vany Terisia; Widi Hastomo; Adhitio Satyo Bayangkari Karno; Ellya Sestri; Diana Yusuf; Shevty Arbekti Arman; Nada Kamilia
Sainteks Vol 20, No 2 (2023): Oktober
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v20i2.18691

In initiatives to meet food needs and enhance the wellbeing of farmers and society at large, crop production performance is essential. For early attempts to be made for quick handling to prevent crop failure, farmers must be able to readily and quickly receive information in order to detect plant illnesses. In this study, two Convolutional Neural Network (CNN) architectures namely, EfficientNet versions B5 and B6 are used to develop a classification model for plant disease using Deep Learning (DL). The 66,556 visuals in the dataset, which is from Kaggle.com, are used. To create a model, the training method uses 57,067 images data and 3,170 image data for validation. The EfficientNet architecture versions B5 and B6 received very good accuracy scores for the total test results, namely 0.9905 and 0.9927. The model testing phase was carried out through testing phases utilising 3.171 images data. Future analysis can compare CNN architectures and try it with different datasets.

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