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All Journal JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Majalah Ilmiah Warta Dharmawangsa Jurnal Pendidikan Teknologi Informasi dan Vokasional Bulletin of Computer Science Research J-Com (Journal of Computer) Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) J-COSCIS : Journal of Computer Science Community Service Edukasia: Jurnal Pendidikan dan Pembelajaran Engineering and Technology International Journal (EATIJ) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Pengabdian Ibnu Sina JURSIMA Jurnal Sistem Informasi dan Manajemen
Agus Suryadi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Journal : JURSIMA

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SISTEM PAKAR PENDIAKNOSAAN HAMA DAN PENYAKIT PADA TANAMAN TEH MENGGUNAKAN METODE CASE-BASED REASONING BERBASIS ANDROID Agus Suryadi
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 7 No 2 (2019): Jursima Vol. 7 No. 2, Tahun 2019
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v7i2.168

Abstract

Perancangan aplikasi android Case-based rasoning (CBR)  merupakan metode yang di gunakan untuk membangun sebuah sistem berbasis pengetahuan.Sumber pengetahuan sistem di peroleh dengan mengumpulkan penanganan kasus-kasus oleh seorang ahli atau pakar. Dalam penelitian ini peneliti membuat atau menganalisa penyakit Tanaman Teh melalui gejala-gejala yang dialami oleh Tanaman tersebut sehingga dapat membantu seseorang atau petani dalam mendiagnosa jenis penyakit dan hama tanaman teh berdasarkan gejala-gejalanya.Keuntungan dengan penerapan metode ini adalah petani tidak perlu menanyakan gejala dan penyakit pada seorang pakar.Aplikasi ini diharapkan dapat memudahkan petani untuk mengenali jenis hama dan penyakit pada tanaman teh dan juga aplikasi ini terdapat perhitungan dengan jelas mengenai hama dan penyakit tanaman teh.
PEMILIHAN PROMOSI JABATAN KARYAWAN DENGAN METODE FUZZY C-MEANS DAN METODE AHP Agus Suryadi
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 9 No 1 (2021): Jursima Vol. 9 No. 1, April Tahun 2021
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v9i1.309

Abstract

Employee performance is one of the factors that can determine the good or bad running of a company. A company generally has employees who occupy a number of positions or positions, be it at the staff level or section head. Promotion as one of the functions of human resource management activities has a very important role in increasing employee productivity. Promoting employees requires careful consideration, especially for middle and upper positions. To get a promotion in a company, of course there is a process of selecting employees who have met the criteria and requirements. Company xyz still uses manual methods in the process of selecting qualified employees to get promotions. Fuzzy C-Means (FCM) is one of the most frequently used clustering methods. However, FCM has some drawbacks such as the number of clusters to be predefined and the partition matrix to be random starting which makes the clustering results inconsistent. Analytical Hierarchy Process (AHP) can help solve problems into a hierarchical structure consisting of objective criteria and sub-criteria. This study aims to combine the two methods in the selection of promotions and implement these methods into a web-based decision support system. Keywords - promotion, Fuzzy C-Means method, AHP method
ANALISIS KELAYAKAN PRODUKSI USAHA DENGAN SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE BENEFIT COST RATIO Agus Suryadi
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 9 No 2 (2021): Jursima Vol. 9 No. 2, Agustus Tahun 2021
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v9i2.310

Abstract

A decision support system to determine the feasibility of subsequent production at a furniture shop that was studied using the SPK Benefit Cost Ratio method, this decision support system was made using web-based programming and the design of this system used the PHP and MySQL programming languages, drawing conclusions in this decision support system using the method BCR (Benefit Cost Ratio). This BCR method can determine the inadequacy of production that will be planned in the future. This decision support system program will provide a simulation of the results of the BCR to be processed, the results of this study indicate that the Benefit Cost Ratio method can be used to determine the next production because it is able to provide the results of determining production which so far have not used the method to continue production in stores based on the production that has been produced. previously sold. Keywords: System, Support, Decision, UML, MySql, PHP, Production
Co-Authors Abdul Rohmad Basar Afrina Afrina Afrina Agum Permana Alex Sandri Sikumbang Azriel Alfito Zikry Boby Saputra Budi Wicahyo Doni Syofiawan Fachruddin Fachruddin Fahrul Sanawi Febrianti, Eka Lia Fernandes, Atman Lucky Ilwan Syafrinal Indah Kusuma Dewi, Indah Kusuma Larisang M. Abdul Nizal Mahardika Abdi Prawira Tanjung Makmur Syukri Mesiono Mesiono Meylia Vivi Putri Meylia Vivi Putri Meylia Vivi, Putri Muhammad Alfinanda Rizky muhammad irfan Muhammad Rifai Harahap Nanda Jarti Nasution, Akmal Novi Hendri Adi Nurika Khalila Daulay Refi Syahputra Ririt Dwiputri Permatasari Steffi Adam Syafaruddin Syafaruddin Tommy Saputra Yudi Akbariaji