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All Journal INFORMAL: Informatics Journal JMM (Jurnal Masyarakat Mandiri) Journal of Information System and Technology (JOINT) Jurnal Aplikasi Sistem Informasi dan Elektronika Jurnal Informatika: Jurnal Pengembangan IT
Yusril Izzi Arlisa Amiri
Sistem Informasi, Fakultas Teknik, Universitas Muhammadiyah Jember
Computer Science & IT Other

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Analisis Perilaku Konsumen Menggunakan Market Basket Analysis Pada Unit Usaha Koperasi As-Sakinah ‘Aisyiyah Jember Yanuarti, Rosita; Amiri, Yusril Izzi Arlisa
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.47926

Abstract

As an economic enterprise based on the interests and welfare of members, the business units that have been implemented by As-Sakinah Cooperative include providing and fulfilling the basic needs of members. Therefore, in 2012 As-Sakinah Cooperative established the Toko As-Sakinah business unit. This business unit aims to provide the basic needs of members, as well as the needs of Muhammadiyah, 'Aisyiyah and other organizations. Not only that, the As-Sakinah Cooperative business unit also acts as a place for marketing the products of the economic efforts of 'Aisyiyah members. The importance of consumer behavior analysis using market basket analysis on sales transactions of the As-Sakinah Store business unit is as a marketing strategy to increase sales transactions by looking at consumer behavior patterns towards the relationship between products based on purchase transactions made by members and other customers. In addition, the results of this market basket analysis can also be used for marketing strategies and data-based decision making. Market basket analysis or shopping basket analysis is an analysis of customer behavior in conducting buying and selling transaction activities. Shopping basket analysis produces findings of association or connection between one item and another, where these items are in one customer's basket. The results of this research indicate that with a minimum support value of 5% and a minimum confidence of 5% it produces 11 rules, where the pattern of associations between items found has a very high association tendency. The resulting association rules also show low variation, this is influenced by the small variation of transactions made by customers. From the rules generated, it can be seen that not many product combinations are obtained, this is because most of the sales transactions consist of only one product purchased by customers. So that the effectiveness of the application of market basket analysis in this cooperative is not optimal
Optimasi Strategi Promosi Pendidikan Menggunakan Algoritma FP-Growth untuk Identifikasi Wilayah Strategis Wijaya, Guruh; Fitriyah, Nur Qodariyah; Amiri, Yusril Izzi Arlisa
Journal of Information System and Technology (JOINT) Vol. 6 No. 1 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i1.10295

Abstract

SMP Muhammadiyah 1 Jember menghadapi tantangan dalam menarik siswa baru akibat promosi yang kurang efektif dan kesalahan dalam menentukan target pasar, sehingga diperlukan strategi yang lebih tepat. Dengan menerapkan algoritma FP-Growth dalam data mining, sekolah dapat mengidentifikasi daerah strategis untuk promosi yang lebih efisien dan berdampak besar. Penelitian ini mengumpulkan 407 data siswa SMP Muhammadiyah 1 Jember dari tahun ajaran 2017 hingga 2023 melalui observasi langsung, yang terdokumentasi dalam Excel dan buku induk siswa untuk menganalisis perkembangan serta karakteristik siswa. Pengujian menggunakan Jupyter Notebook dengan support 0,1 dan 0,05, serta Lift minimal 1, menghasilkan 4 rule asosiasi pada support 0,1 dan 20 rule asosiasi pada support 0,05. Seleksi dilakukan dengan memprioritaskan aturan yang memiliki itemset kecamatan pada antecedent-nya untuk mendukung strategi promosi sekolah. Hasil seleksi menunjukkan bahwa Kecamatan Kaliwates, Patrang, dan Sumbersari merupakan wilayah dengan calon siswa potensial, sehingga promosi dapat difokuskan di daerah tersebut.
Penerapan Support Vector Machine (SVM) Untuk Klasifikasi Sentimen E-Tilang Pada Twitter Prayuda, Tegar Dwi; Dasuki, Moh.; Amiri, Yusril Izzi Arlisa
IPTEQ Vol 6, No 2 (2024): JASIE
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jasie.v6i2.22329

Abstract

E-Tilang sebuah inovasi penegak hukum di bidang lalu lintas yang berbasis teknologi yang menggunakan perangkat elektronik seperti kamera pengawas close circuit television (CCTV) yang mampu merekam kejadian dan mendeteksi plat nomor kendaraan sebagai barang bukti. Atas kebijakan tersebut banyak masyarakat yang belum begitu bijak dalam menyikapi penerapan kemajuan teknologi yaitu E-Tilang. Hal ini di tandai adanya berbagai opini oleh para pengguna twitter tentang E-Tilang yang terdiri berbagai macam ada yang pro maupun kontra. Twitter merupakan sarana yang efektif dalam menampung opini pengguna transportasi. Metode yang di usulkan pada peneltian ini menggunakan ­Support Vector Machine (SVM). Data set yang digunakan dalam penelitian ini adalah tweet dengan bahasa indonesia dengan keyword E-Tilang dan di dapatkan data set sebanyak 400 tweet dan 756 tweet. Hasil dari penelitian analisis sentimen E-Tilang menggunakan klasifikasi Support Vector Machine (SVM) dan ektrasi fitur TF-IDF, dengan 250 dataset di dapatkan akurasi 64%, presisi 65%, recall 80% dan menggunakan 590 dataset di dapatkan akurasi 70%, presisi 71%, recall 96%.
Peramalan Permintaan Produk Menggunakan ARIMA Berbasis Data Mining Amiri, Yusril Izzi Arlisa; Wardati, Nanda Kurnia
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8665

Abstract

Demand forecasting is a crucial component of business strategy to anticipate customer demand fluctuations and optimize inventory management. Data mining serves as an important analytical approach to uncover hidden patterns in historical data, enabling the generation of accurate predictions. This study aims to forecast the demand for association-related products at Toko As-Sakinah ’Aisyiyah using the Auto Regressive Integrated Moving Average (ARIMA) method, with Moving Average employed as a baseline comparison model. The dataset consists of monthly sales data aggregated from daily records spanning the period of January 2020 to December 2024, resulting in a total of 60 observations. The research stages followed the CRISP-DM framework, encompassing business understanding, data preparation, modeling, evaluation, and deployment. The analysis results indicate that the ARIMA(1,1,1) model is the most suitable, as it meets residual assumptions and yields lower error values compared to Moving Average. The comparison further confirms that ARIMA is more adaptive to trend patterns and short-term fluctuations. The 2025 demand projection reveals a consistent upward trend from January to December. Based on these findings, it is recommended that the store management gradually increase inventory levels to prevent supply shortages in the future
PEMBUATAN E-CATALOGUE UNTUK DIGITAL MARKETING PADA KOPERASI AS-SAKINAH ‘AISYIYAH KABUPATEN JEMBER Yanuarti, Rosita; Amiri, Yusril Izzi Arlisa; Krisna, Bayu; Setiawan, Ardhi Harry; Arniza, Rizqy; Prasetyo, Ibnu Khoirul
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 4 (2024): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i4.24262

Abstract

Abstrak: Salah satu upaya bisnis yang dapat dilakukan untuk mengembangkan unit usaha Koperasi As-Sakinah ‘Aisyiyah Kabupaten Jember adalah dengan menerapkan digital marketing. Selama ini, pemasaran yang dilakukan mitra masih mengandalkan komunikasi melalui telepon atau aplikasi WhatsApp secara sederhana, Kegiatan ini bertujuan untuk membantu mitra dalam memperluas pemasaran produk dan meningkatkan transaksi penjualan dengan memanfaatkan teknologi digital dalam pemasarannya melalui pembuatan e-catalogue. Metode pelaksanaan pada kegiatan ini terdiri dari identifikasi masalah, pembuatan produk/prototype e-catalogue dan sosialisasi penggunaan e-catalogue bagi 10 peserta pengurus dan anggota Koperasi As-Sakinah ‘Aisyiyah Kabupaten Jember. Pengujian kelayakan sistem dilakukan dengan dua jenis pengujian sistem yaitu blackbox testing dan User Acceptance Testing (UAT). Berdasarkan hasil kuesioner pada pengujian UAT didapatkan nilai presentase kelayakan sebesar 76,80% yang tergolong dari hasil penilaian baik. Oleh karena itu, sistem e-catalogue dapat dikatakan layak dan memenuhi kriteria untuk diterapkan pada Koperasi As-Sakinah ‘Aisyiyah Kabupaten Jember.Abstract: One of the business efforts that can be made to develop the As-Sakinah 'Aisyiyah Cooperative business unit in Jember by implementing digital marketing. So far, the marketing carried out by partners still relies on simple communication via telephone or WhatsApp applications. This activity aims to assist partners in expanding product marketing and increasing sales transactions by utilizing digital technology in their marketing through the creation of e-catalogue. The implementation method in this activity consists of identifying problems, implementation and training on the use of e-catalogue for 10 participants of As-Sakinah Cooperative management and members. Two types of system testing, namely blackbox testing and User Acceptance Testing (UAT) carried to measure the feasibility of the system. Based on the results of the questionnaire in the UAT test, the feasibility percentage value is 76.80% which is classified as a good assessment result. Therefore, the e-catalogue system can be said to be feasible and meet the criteria to be applied to the As-Sakinah 'Aisyiyah Cooperative in Jember.
Co-Authors Arniza, Rizqy Dasuki, Moh. Fitriyah, Nur Qodariyah Krisna, Bayu Prasetyo, Ibnu Khoirul Prayuda, Tegar Dwi Setiawan, Ardhi Harry Wardati, Nanda Kurnia Wijaya, Guruh Yanuarti, Rosita