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All Journal INFORMAL: Informatics Journal Jurnal RESISTOR (Rekayasa Sistem Komputer) Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika AGROMIX Jurnal Teknologi Informasi dan Multimedia
Moch. Lutfi
Universitas Yudharta Pasuruan
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering

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Journal : INFORMAL: Informatics Journal

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Pencarian Rute Jasa Pemesanan Penggilingan Padi Berbasis Android Dengan Menggunakan Google Maps Moch Lutfi; Elmaida Khoirotuzzuhria
INFORMAL: Informatics Journal Vol 8 No 1 (2023): 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.v8i1.34772

Abstract

The location where the rice mill service is located is an important thing for most farmers to improve the quality of rice. Clear information about the rice mill is one of the determining factors in choosing a suitable rice mill. For farmers and people who do not know the surrounding area when they are going to do rice milling, it will be difficult to find the nearest rice mill location. There are several weaknesses when using a manual system, including the information obtained is not in accordance with the expected needs, and the distance traveled requires a relatively long time and relatively large cost. The research conducted by the author is to design an application for ordering rice milling services using the waterfall method and using google maps as a method of finding the closest route. The purpose of the study was to determine the application of google maps to the rice mill ordering application. From the results of system testing using blackbox testing, the results show that the application being tested can run and function as expected. While the results of testing the questionnaire by getting an index of 79.75%.
Penanganan Data Tidak Seimbang Menggunakan Hybrid Method Resampling Pada Algoritma Naive Bayes Untuk Software Defect Prediction Moch Lutfi; Arief Tri Arsanto; Muhammad Faishol Amrulloh; Ummi Kulsum
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.41090

Abstract

Software defect prediction is software data that is used to identify a software module and can also be used to predict software defects. Before carrying out further trials, it is necessary to carry out special handling, especially by using algorithm models as predictions of software defects with the aim of obtaining information from the device being developed. Therefore, it is necessary to predict software defects using appropriate classification and prediction methods, so that the resulting accuracy results are better. In this study, the naïve Bayes algorithm was used as a classification with a resampling technique approach to handle unbalanced data, including SMOTEENN and SMOTETomek. The best accuracy results in the research conducted were 92.5% on the Nasa Repository PC4 dataset
Co-Authors Achmad Saiful Rizal Ahmad Rif’an Firdaus Arief Tri Arsanto Elmaida Khoirotuzzuhria Mochamad Hasyim Muhammad Faishol Amrulloh Muhammad Faishol Amrulloh Muhammad Imron Rosadi Ummi Kulsum