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All Journal Scientific Journal of Informatics Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat Intechno Journal : Information Technology Journal
Arifin, Oki
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Nursing

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Implementation of Data Mining using Naïve Bayes Classifier Method in Food Crop Prediction Arifin, Oki; Saputra, Kurniawan; Fathoni, Halim
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.28354

Abstract

Lampung province has development activity orienting on source potential in the agricultural sector mainly food crops. Yield estimation of food crops is one of the things crucial problems in the agricultural sector, because of the farmers' lack of knowledge about the bountiful harvest, and climate change big impact on the yield of food crops. Then it was needed to be developed modeling to prediction system of food crops by data mining, with Naïve Bayes Classifier (NBC) which expected will give information and can use by the farmer and industrial food crops. On classification, progress attributes that use there is the temperature (°C), humidity (%), rainfall (mm), photoperiodicity (hour), and production result (ton) as a class attribute. The data of research that getting there are climate data and yield of food crops by data from the Central Bureau of Statistics (BPS) and the Meteorology, Climatology and Geophysics Agency (BMKG) from 2010 to 2017 at Lampung Province. Data of food crops used in this research there are paddy, maize, and soybean. The research results about the average accuracy of modeling that development using the 10-fold cross-validation method, that had an accuracy value of 72.78% and Root Mean Square Error (RMSE) there is 0.438.
Implementation of Data Mining using Naïve Bayes Classifier Method in Food Crop Prediction Arifin, Oki; Saputra, Kurniawan; Fathoni, Halim
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.28354

Abstract

Purpose: This study aims to developed modeling to prediction system of food crops by data mining, with Naïve Bayes Classifier (NBC), which expected will give information and can use by the farmer and industrial food crops. Methods: On classification, progress attributes that use there is the temperature (°C), humidity (%), rainfall (mm), photoperiodicity (hour), and production result (ton) as a class attribute. The data of research that getting there are climate data and yield of food crops by data from the Central Bureau of Statistics (BPS) and the Meteorology, Climatology and Geophysics Agency (BMKG) from 2010 to 2017 at Lampung Province. Data of food crops used in this research there are paddy, maize, and soybean. Result: The research results about the average accuracy of modeling that development using the 10-fold cross-validation method, that had an accuracy value of 72.78% and Root Mean Square Error (RMSE) there is 0.438. Novelty: Prediction system of food crops by data mining.
Pelatihan Pengemasan Produk Untuk Mendukung Digitalisasi Pemasaran Pada Kelompok Penyandang Disabilitas Desa Suak Lampung Selatan Zukryandry, Zukryandry; Arifin, Oki; Fitri, Annisa; Fanti, Firli Nur; Fitri, Aulia Raey; Alim, M. Fathin Abdul
Abdimas Galuh Vol 6, No 2 (2024): September 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v6i2.16177

Abstract

Kegiatan PkM pada kelompok penyandang disabilitas di Desa Suak Lampung selatan adalah untuk memperluas IPTEK dan keterampilan anggota kelompok dalam melakukan pengemasan produk dan digitalisasi pemasaran. Dalam menyelesaikan berbagai persoalan yang dihadapi mitra (Kelompok penyandang disabilitas) metode pendekatam yang digunakan yaitu pendekatan partisipatif aktif dan berkesinambungan antara tim PkM dan mitra. Tim pengusul sebagai ketua Program PkM berperan aktif dalam memberikan dukungan yaitu mendampingi dan membina secara rutin dan berkelanjutan ke mitra. Hasil PkM bagi kelompok penyandang disabilitas Desa Suak Lampung Selatan menunjukan peningkatan Iptek dan keterampilan para anggota kelompok, mulai dari teori, praktik desain kemasan, hingga praktik digitalisasi pemasaran dengan meggunakan media marketplace seperti tik tok, whatsapp, facebook dan Instagram.
Aplikasi Monitoring Laporan Data Hasil Pengolahan TBS Kelapa Sawit Berbasis Mobile Pada PT. Perkebunan Nusantara VII Haldian, Haldian; Arifin, Oki; Kenali, Eko Win
Intechno Journal : Information Technology Journal Vol. 5 No. 2 (2023): December
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2023v5i2.1388

Abstract

The process of recording data processing reports from units to the PTPN VII head office has used a website-based application. This allows each unit to upload a report of processing data. In an effort to optimize applications, especially in presenting information that can be accessed in real-time for stakeholders to report palm oil processing results, it is necessary to develop a mobile-based application. At PTPN VII. This data collection activity was carried out at PTPN VII, Bandar Lampung head office from March to June 2023. The process of monitoring reports on processing data for Oil Palm Fresh Fruit Plants (FFB) can measure the quality and quantity of processing, as well as make strategic decisions in making decisions quickly and efficiently. accurate. The development of this application uses the Flutter framework, the PHP programming language and the MySql database. The results of the data obtained are the Mobile-Based Palm Oil FFB Processing Data Report Monitoring Application at PTPN VII.
Co-Authors Alim, M. Fathin Abdul Annisa Fitri, Annisa Eko Win Kenali Fanti, Firli Nur Fitri, Aulia Raey Haldian, Haldian Halim Fathoni, Halim Kurniawan Saputra zukryandry, zukryandry