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Penerapan Algoritma C4.5 Untuk Prediksi Kualitas Pelayanan Terhadap Kepuasan Konsumen (Studi Kasus: Hinet Batam) Putri, Sherly Maisa; Arnomo, Sasa Ani
Journal of Information System Research (JOSH) Vol 1 No 2 (2020): Januari 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Quality of service is the goal of the company in providing satisfaction to consumers both service and non-service companies. One of the internet access service provider companies that is committed to improving service quality to customer satisfaction is Hinet Batam. This study aims to analyze the quality of service to Hinet Batam consumer satisfaction using the C4.5 algorithm. Valuation variables include empathy, responsiveness, reliability with satisfied and dissatisfied decisions. The results of processing the Data Mining method using the C4.5 algorithm were able to classify the level of customer satisfaction with service quality. With a satisfied predictive precision value of 61.7% and an unsatisfied predictive precision value of 38.3%. The results of this study can be used as a reference to improve service quality and to maintain customer loyalty in using internet service data package products and increase sales.
Implementasi Data Mining Untuk Market Basket Analysis Menggunakan Asosiation Rules Pada Minimarket 212 Mart Batam Rumahorbo, Nur Rizky Setia Saragi; Arnomo, Sasa Ani
Journal of Information System Research (JOSH) Vol 1 No 4 (2020): JULI 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Data mining is a method of searching for previously unknown information from a large database. The important information found to be valuable and beneficial for the making of a decision. The information gained should be precise and accurate because it was highly influential in decision making as well as the outcome of the decision, as was the information required by the Minimarket 212 Mart Taman Carina Batam. The minimarket is located close to the residents' housing and the school. Minimarket 212 Mart requires an analysis to find out consumer purchasing habits that would later be useful for organizing store layouts, make inventory of product efisien in order for sales transactions to run smoothly also increase sales results in minimarkets. Market basket analys methods can be used to analyze the interrelationship of product that consumers buy at the same time to find out the consumer's purchasing habits. The study successfully found the combination of interrelated products that had the highest support value and confidence value on the combination of Snack, Baverage, Breakfast Food which were to have a 26,7% support value and 100% confidence
Clustering of the Potential of Customers' Internet Bandwidth Upgrade on FTTH Broadband Arnomo, Sasa Ani; Yulia, Yulia
ILKOM Jurnal Ilmiah Vol 13, No 1 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

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Abstract

Increasing customer bandwidth needs to be considered by companies by determining potential customers. Potential determination is needed because previously it was only done randomly. Therefore, first determining the potential is needed by grouping customers who have the same characteristics based on the data and attributes they have. This research will implement data mining technique with clustering method with K-means algorithm on 263 FTTH Broadband customer groups. Then the potency can be determined based on the final centroid point in the grouping. The results obtained are divided into 5 clusters consisting of 34 customers or 12.92% of the total potential customers, 29 customers or 11.02% of the total potential customers, 56 customers or 21.30% of the total potential customers, 54 customers. or 20.53% of the total fewer potential customers and 90 customers or 34.22% of the total non-potential customers. Comparison of the validity of the Davies-Bouldin Index cluster for 5 groups between K-Means and K-Medoids, the value of 0.538 for K-Means and 0.819 for K-Medoids is obtained. This method is used to streamline the distribution of bandwidth.
RANCANG BANGUN APLIKASI E-PROPERTI BERBASIS FRAMEWORK CODEIGNITER tukino, tukino; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 9 No. 2 (2021): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v9i2.4455

Abstract

The progress of the internet has become the best means to start a property business and it has been proven to be an effective and effective media of information from the internet to disseminate information that is fully accessible to anyone,anytime and anywhere. The great effect on the property business is caused through the internet because only by accessing it from smartphone device and computers at home or in the office of prospective buyers can see property add information.In today’s digital era property sales are mostly done on social media. Social media has many users. But social media has the disadvantages of having to pay if you want to advertise sales, consumers are only users of social media, sales posts quickly sink. In this research, a web-based property sales and leasing information system will be built to cover the shortage.
Optimasi Metode Fuzzy Mamdani Dalam Estimasi Kebutuhan Pengadaan Suku Cadang Pada PT.XYZ Yulia, Yulia; Arnomo, Sasa Ani
Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): Oktober 2021
Publisher : STMIK Indonesia Padang

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Abstract

Persediaan merupakan hal yang penting bagi perusahaan untuk menjalankan proses bisnis agar efektif dan efisien sesuai dengan tujuan yang hendak dicapai. Salah satu contohnya adalah persediaan suku cadang pada PT. XYZ yang bergerak dibidang pabrikasi dan distribusi logam berat yaitu Cooper Slag di Kota Batam yang sangat dibutuhkan oleh pihak galangan kapal maupun Offshore. Tujuan dari penelitian ini adalah memudahkan PT. XYZ dalam mengambil keputusan optimasi persediaan suku cadang. Sistem yang di pakai adalah Fuzzy Inference System yang penerapannya menggunakan metode Mamdani. Metode ini dapat dengan mudah diterapkan pada sistem yang dibuat dengan bantuan toolbox fuzzy inference system. Fungsi implikasi yang digunakan dalam proses ini adalah fungsi MIN. Hasil yang didapat dalam pengujian FIS sebesar 8, angka ini masih dalam parameter variabel output sedikit dan sedang. Maka, didapat kesimpulan bahwa FIS metode Mamdani dapat membantu PT. XYZ dalam membuat keputusan pada optimasi dalam estimasi pengadaan suku cadang.
Market Basket Analysis pada Barang Minimarket dimasa Pandemi Covid-19 Arnomo, Sasa Ani
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 9, No 2 (2021)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.416 KB) | DOI: 10.26418/justin.v9i2.43243

Abstract

Sebuah minimarket memerlukan suatu analisa untuk mengetahui kebiasaan pembelian konsumen di masa pandemi covid 19. Penelitian ini nantinya akan berguna untuk menata tata letak barang di toko, menentukan promosi produk dan mengefisienkan stok produk agar transaksi penjualan berjalan lancar serta meningkatkan hasil penjualan. Metode market basket analys dapat digunakan untuk menganalisis keterkaitan produk yang dibeli konsumen sekaligus untuk mengetahui kebiasaan membeli konsumen. Penelitian berhasil menemukan kombinasi produk yang saling terkait yang memiliki nilai support dan confidence tertinggi pada kombinasi produk Basic Food, Home Care, Instant Food yang memiliki nilai support 14,1% dan confidence 100% serta produk kombinasi. Kombinasi pembelian produk berupa susu, snack, ice cream memiliki nilai support 14,1% dan confidence 100%.
Analisa Decision Tree untuk Kepuasan Penggunaan Sinyal dari Base Transceiver Station (BTS) Arnomo, Sasa Ani
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 9, No 2 (2021)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v9i2.43425

Abstract

Kepuasan konsumen merupakan salah satu tujuan perusahaan dalam memberikan pelayanan kepada konsumen baik perusahaan jasa maupun non jasa. Salah satu perusahaan penyedia layanan akses data internet yang berkomitmen untuk meningkatkan kualitas produk, fasilitas dan kualitas layanan demi kepuasan pelanggan. Penelitian ini bertujuan untuk menganalisis kepuasan konsumen dengan menggunakan metode algoritma data mining process metode C4.5 dan mengukur tingkat kepuasan konsumen dari hasil pohon keputusan yang diperoleh. Variabel penilaian meliputi kualitas produk, fasilitas, pelayanan dan harga dengan hasil keputusan puas atau tidak puas. Hasil pengolahan metode data mining menggunakan algoritma C4.5 mampu mengklasifikasikan tingkat kepuasan konsumen. Terbukti dengan tingkat akurasi 84.66%, recall mendapatkan 0.828, precision memperoleh 0.828, dan ROC mendapat nilai 0.825. Hasil penelitian ini dapat dijadikan acuan untuk meningkatkan kepuasan konsumen dan menjaga loyalitas konsumen dalam menggunakan produk paket data layanan internet dan meningkatkan penjualan.