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All Journal Faktor Exacta JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknologi Informatika dan Komputer
Ipin Sugiyarto
STMIK NUSA MANDIRI
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Perancangan Sistem Informasi Pemesanan Paket Pernikahan Berbasis Web Pada Diamond Wedding Jakarta Fauzi Rizaldi; Sita Anggraeni; Ipin Sugiyarto
Jurnal Teknologi Informatika dan Komputer Vol 7, No 1 (2021): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v7i1.497

Abstract

Wedding Organizer merupakan  jasa yang berfungsi secara pribadi membantu calon pengantin dan keluarga dalam perencanaan dan supervisi pelaksanaan rangkaian acara pesta pernikahan sesuai dengan jadwal dan budget yang telah ditetapkan. Perancangan program pernikahan pada Diamond Wedding yang dirancang penulis telah memanfaatkan teknologi informasi berbasis web dengan tujuan untuk memperluas area promosi dan penjualan paket pernikahan dan mempermudah proses pemesanannya. Adanya beberapa kendala seperti pengisian data, proses transaksi penyewaan, pencarian dan pembuatan laporan yang membutuhkan waktu yang cukup lama dan tidak efisien. Bahkan penyimpanan data yang tidak optimal karena masih menggunakan pembukuan transaksi bulanan. Perancangan Program Berbasis Web ini merupakan solusi yang terbaik untuk memecahkan permasalahan-permasalahan yang ada diperusahaan tersebut agar dapat tercapai suatu kegiatan yang efektif dan efisien, guna menunjang aktifitas pada perusahaan tersebut.
PERBANDINGAN KINERJA ALGORITMA DATA MINING PREDIKSI PERSETUJUAN KARTU KREDIT Ipin sugiyarto
Faktor Exacta Vol 12, No 3 (2019)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v12i3.4310

Abstract

Credit analysis needs to identify and assess factors that can influence customers in credit returns. Accurate measurement and good management capability in dealing with credit risk is an effort to save the economic operations unit and is beneficial for a stable and healthy financial system. Failure to identify credit risk results in loss of income and extends credit risk to a bad type of threat to profitability. Data mining prediction techniques are used to determine credit risk. Using the Cross-Industry Standard Process for data mining CRISP-DM. This study has tested the model using a neural network using PCA feature selection and optimized with the PSO algorithm to predict credit card approval. Several experiments were conducted to see the best results. The results of this study prove the use of a single Neural Net method produces an accuracy of 80.33%. while the use of the hybrid PCA+NN+PSO method has been proven to increase accuracy to 82.67%. Likewise, the AUC NN value of 0.706 increased to 0.749 when the NN was optimized using PSO and using the PCA. This study implements and compares PCA-based SVM, L. Regression and NN algorithms and optimize PSO to improve accuracy in credit card approval predictions.
CLASSIFICATION OF THE PROSPECTS FOR CITY TREES LIFE EXPECTANCY USING NAIVE BAYES METHOD Muhammad Rifqi Firdaus; Abdul Latif; Ipin Sugiyarto; Windu Gata
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 6 No 1 (2020): JITK Issue August 2020
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1130.708 KB) | DOI: 10.33480/jitk.v6i1.1405

Abstract

Besides the city is a large and extensive residential area. as a center for the activities of its citizens, both from economic, cultural, and development activities. Development in the city leads to the physical development of the city with the many facilities and infrastructure in the city, making activities in the city cause some pollution problems. To overcome this problem, the government often creates green open space in the middle of the city. Planting shade trees will help to balance the problem of pollution due to development. Trees can reduce temperatures, in addition to absorbing air and climate pollution. trees can help save energy. Naive Bayes is a classification with probability and statistical methods, namely predicting future opportunities based on experience based on the assumption of simplification that attribute values are conditionally free if given an output value. Data processing with Naive Bayes produces a Precision value of 0.840%, a recall value of 0.848%, and an AUC of 0.873%. These results indicate that the results are included in the excellent category.
Co-Authors Abdul Latif Fauzi Rizaldi Muhammad Rifqi Firdaus Sita Anggraeni Windu Gata