Article Per Year (5 Year)
p-Index From 2021 - 2026
3.137
P-Index
This Author published in this journals
All Journal JURNAL SAINS PERTANIAN EQUATOR BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Organisasi Dan Manajemen Jurnal Basicedu JISIP: Jurnal Ilmu Sosial dan Pendidikan Jurnal TAMBORA Jurnal Ekonomi Manajemen Sistem Informasi Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Ilmiah Pendas : Primary Education Journal Bima Abdi: Jurnal Pengabdian Masyarakat Empiricism Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Basicedu JURNAL PENGABDIAN KEPADA MASYARAKAT (ADI DHARMA) West Science Social and Humanities Studies Jurnal Pengabdian Rekayasa Sistem International Journal of Integrated Science and Technology Jurnal Rekayasa Mesin
Darmawan, Indra
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
Classification of Drinking Water Potability With Artificial Neural Network Algorithm Darmawan, Indra; Muhammad Fatchan; Andri Firmansyah
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1874

Abstract

Having safe water for consumption is essential for public health in every region. However, water quality is declining in some places, especially to meet human needs for drinking water. There are many efforts to maintain water potability, such as checking to see if there are bacteria or diseases in the water. This research classifies water potability using the Artificial Neural Network method, a technique in the field of machine learning. This research classifies water quality using a python library to analyze data and perform classification. Data is processed through stages such as data cleaning and data division into training and testing. In testing, the data is divided into 20% for testing and 80% for training. The results of the ANN algorithm show 70% accuracy. in conclusion, the ANN model has moderate performance in classifying the feasibility of drinking water. Model improvement is needed to improve accuracy and prediction, including the use of larger and more diverse datasets.
Implementasi Sistem Manajemen Arsip Direktorat Keuangan Berbasis Web ( Studi Kasus : Universitas Teknologi Sumbawa ) Amri, Fahrul; Suparman, Suparman; Darmawan, Indra
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 6, No 4 (2022): JISIP (Jurnal Ilmu Sosial dan Pendidikan)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v6i4.3663

Abstract

For an Institution/Agency, archiving is not new. The entry and exit of documents and other documents in an agency / institution certainly requires filing. The storage carried out at the Directorate of Finance, Sumbawa University of Technology has not been effective enough for the current filing, because the filings carried out are still some done manually so that it is easy to lose archives before filing. The purpose of this study is to design a Web-based records management information system to help the filing process at the Directorate of Finance, Sumbawa University of Technology run more effectively and efficiently. The research method used in this study is a qualitative method with data collection methods used in the form of observation, interviews, documentation and literature studies. While the method used for software development or system design uses the waterfall method, where this waterfall method is a type of application development model and is included in the classic life cycle. (classical life cycle), in which this cycle emphasizes on sequential and systematic phases. The results of this study are based on a Web-based archive management information system, and data storage is more effective, the archive process is more efficient and makes it easier to search for the desired documents.
PENGARUH PUPUK KOTORAN KAMBING TERHADAP PERTUMBUHAN BIBIT TANAMAN PALA DI TANAH ALUVIAL darmawan, indra; Ir. Hj. Siti Hadijah, M.Sc, Ir. Hj. Siti Hadijah, M.Sc; Ir. Rini Susana, M.Sc, Ir. Rini Susana, M.Sc
Jurnal Sains Pertanian Equator Vol. 5 No. 3 (2016): Desember 2016
Publisher : Fakultas Pertanian Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jspe.v5i3.16727

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh pupuk kotoran kambing terhadap pertumbuhan bibit tanaman pala di tanah aluvial. Penelitian dilaksanakan di kebun percobaan Fakultas Pertanian Universitas Tanjungpura Pontianak, sejak 23 November 2015 sampai dengan 8 April 2016. Penelitian ini menggunakan metode eksperimen lapangan dengan Rancangan Acak Lengkap yang terdiri dari satu faktor yaitu dosis pupuk kotoran kambing (m), dan 6 taraf perlakuan dengan 4 ulangan dan setiap satuan percobaan terdiri dari 3 tanaman sampel. Perlakuan tersebut adalah tanpa pemberian pupuk kotoran kambing (m0), 250 g/ polybag setara dengan 5% pupuk kotoran kambing (m1), 500 g/polybag setara dengan 10% pupuk kotoran kambing (m2), 750 g/polybag setara dengan 15% pupuk kotoran kambing (m3), 1000 g/polybag setara dengan 20% pupuk kotoran kambing (m4) dan 1250 g/polybag setara dengan 25% pupuk kotoran kambing (m5). Variabel pengamatan dalam penelitian ini adalah pertambahan tinggi tanaman, pertambahan jumlah daun, volume akar dan berat kering tanaman. Hasil penelitian menunjukkan bahwa pemberian pupuk kotoran kambing memberikan pengaruh nyata terhadap variabel pertambahan tinggi tanaman pada bibit tanaman pala, sedangkan pada variabel pertambahan jumlah daun, volume akar dan berat kering tanaman berpengaruh tidak nyata. Penambahan pupuk kotoran kambing menghasilkan pertambahan jumlah daun, volume akar, dan berat kering yang sama dengan tanpa penambahan pupuk kotoran kambing. Kata Kunci : Aluvial, Pala, Pupuk Kotoran Kambing
Co-Authors Abrori, Abrori Adler Haymans Manurung Adlimi, Arsil Akbar, M. Surya Aqidah Alfaresa, Muhammad Saiful Ali Topan, Paris Andri Firmansyah Andriani, Titi Arief Kurniawan Arya Mahendra Sakti Aryanto, Nova Aulia, Masyitah Cahyono, Tomy Dwi Dedi Budiman Hakim Desi Maulidyawati Djatnika, Riki Dona Arsinta Eka Ardiansyah, Eka Eri Sasmita Susanto Fahrul Amri, Fahrul Fajardiansyah, Irfan Fauzia Dwi Kayanti Ferly Isnomo Abdi Ferrary, Cindy Helda Firman Yasa Utama Hermanto Siregar Hidayatullah, Muhammad Hikmah, Ulfiana Nurul Iga Mawarni Indarwati, Dwi Ir. Hj. Siti Hadijah, M.Sc, Ir. Hj. Siti Hadijah, M.Sc Ir. Rini Susana, M.Sc, Ir. Rini Susana, M.Sc irhamuddin, muhammad Iskandar, Yogi Jaya, Ahmad Krismawati, Berlian Miswa Liaten Mery Lestari, Jesica Muhammad Fatchan Muntaha, Ahmad Nadila Cantika Ramdani Nur Anggraila, Auriela Nurhayati, Risti Perdana Nicolas, Prayogi Priambudi, Imam Puspita, Marina Rahman Hakim, Kurniawan Rahmawati, Khasanah Raina, Rinda Rohanah, Een Safitri, Riska Yulia Sariyanti, Sariyanti Shinta Esabella Sismadi, Wawan Sri Agustina, Istiqomah Sunarti Suparman Suparman Susilawati, Tri Topan, Paris Ali Tri Utami, Alia Wahyudi Wahyudi Zaldy Ardiansyah, Muchamad