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All Journal Jurnal Informatika dan Teknik Elektro Terapan INFORMAL: Informatics Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Pengembangan Riset dan Observasi Teknik Informatika Jurnal RESISTOR (Rekayasa Sistem Komputer) Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika AGROMIX Jurnal Informatika Global Jurnal Teknologi Informasi dan Multimedia JATI (Jurnal Mahasiswa Teknik Informatika) Soeropati: Journal of Community Service Jurnal Cahaya Mandalika Best : Journal of Applied Electrical, Science and Technology Jurnal Mandiri IT Nusantara Journal of Computers and its Applications
Moch. Lutfi
Universitas Yudharta Pasuruan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

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Journal : INFORMAL: Informatics Journal

 1 
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%.
Rancang Bangun Sistem Otomatisasi Pergantian Air Kolam Budidaya Ikan Nila Berdasarkan Parameter Kondisi Air Menggunakan Nodemcu ESP8266 Cintya Nada Anjali; Moch Lutfi
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.v8i2.41478

Abstract

Water quality in ponds is a physical factor that influences tilapia cultivation. In general, tilapia can grow at a degree of acidity (pH) 5-9 with a maximum air turbidity of 50NTU. Cases of tilapia death in GIP Housing Martopuro Village often occur due to a lack of attention in maintaining the quality of pond water. So with the case study method that aims to solve these problems a system is designed that can monitor water quality and automatic water changes based on water condition parameters through the "Nila Fish Care" application, the application is available on Google Playstore. The results of testing the average water pH is 6.37 and the average value of water turbidity is 35.96. With this system, that it can assist tilapia farmers in monitoring air quality remotely using an application and changing water automatically without human power
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 Adi Winarno Ahmad Rif’an Firdaus Ahmad Zulham Fahamsyah Havy Ajid Husain, Muhammad Arief Tri Arsanto Arrosidi, Shoffi Arum Virnanda, Karisma Cahya Bagus Sanjaya Cintya Nada Anjali Elmaida Khoirotuzzuhria Indrasetianingsih, Artanti Izza, Mufidatul Jariyah, Riza Ainun Lukman Hakim Mifthauddin, Adlim Mochamad Hasyim Mohamad Ilham Mohammad Gugus Azhari Muhammad Faishol Amrulloh Muhammad Imron Rosadi Mustofa, Aldi Ahmad Nath, Gourab Rahmad Zainul Abidin Saadah, Zulfatun Nikmatus Sofyan asaury Ummi Kulsum