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All Journal Jurnal Sistem Informasi Kaputama (JSIK) Journal of Mathematics and Technology (MATECH)
Syahputra , Siswan
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Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Transportation

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DATA MINING DALAM PENGELOMPOKKAN JUMLAH DATA PRODUKTIVITAS TANAMAN PANGAN MENGGUNAKAN METODE CLUSTRING K-MEANS ( STUDI KASUS : BADAN PUSAT STATISTIK KOTA BINJAI) Ningsih, Nur Ema Tiana; Pardede , Akim M.H; Syahputra , Siswan
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.179

Abstract

Dari data hasil survei pada Badan Pusat Statistik (BPS) Kota Binjai bahwa hasil panen dan produktivitas tanaman pangan bervariasi hasilnya. Disebabkan pada setiap daerah berbeda kondisinya baik itu dari segi faktor lahan, teknik panen, dan hasil panen, sehingga menyebabkan BPS kesulitan dalam mengetahui hasil jumlah produktivitas tanaman pangan dari setiap kecamatan. Untuk itu diperlukan penggelompokkan jumlah data produktivitas tanaman pangan. Dengan menggunakan k-means sehingga mudah dalam memperoleh informasi mengenai data akurat produktivitas tanaman pangan dari setiap kecamatan, sehingga memudahkan pihak instansi dalam memenuhi kebutuhan penyaluran benih tanaman pangan dari setiap kecamatan dari data yang sudah di kelompokkan. Dan data yang di gunakan dalam penelitian ini yaitu data survei tanaman pangan selama 4 tahun yaitu tahun 2017-2020. Dari hasil analisis program yang telah diuji dengan menggunakan matlab dan dengan variabel yang telah di tentukan sehingga dapat di ketahui bahwa dari kecamatan, dengan jenis tanaman, dan jumlah produksi pada cluster 1 senbanyak 132 data, untuk cluster 2 sebanyak 143 data, danuntuk cluster 3 sebanyak110 data.
Decision Support System Determines the Feasibility of Granting a General Practitioner License Using the Analytic Network Process Method (ANP) Silvia, Sindy; Maulita, Yani; Syahputra , Siswan
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.177

Abstract

There are differences in general practitioner practice licensing services because they have special attention that is directly related to the health and public health sectors. The Langkat Regency Investment and One-Stop Integrated Licensing Services Service (DPMPPTSP) has also experienced the development of the system, but it still has a weakness, namely if the applicant who wants to make a permit must come to the office to validate the permit that the customer wants to make without knowing whether whether the files brought by the customer will be valid or not. So we need a decision support system that can help decision makers to use data and solve existing problems. The Analytic Network Process (ANP) method is a method that is able to represent the level of interest of various parties by considering the interrelationships between existing criteria and sub-criteria. From the results of the trials carried out, it was found that the highest score was 2.4625, namely Dr. Frimaneti Z, Old Village Health Center Upt, and Dr. Setiadi Abdillah Pratama, UPT Puskesmas Tanjung Selamat.  
Design of an Expert System for Diagnosing Cat Diseases Caused by Fungi or Viruses Using the Certainty Factor Method Kusuma, Retno Ayu; Novriyenni, Novriyenni; Syahputra , Siswan
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.178

Abstract

The health and beautiful appearance of pets is important because treating these diseases requires more money. If the pet is infected with a disease that can be transmitted, then as the owner you have to do something to find out the type of disease and treatment, one of which is cats. However, many keepers still do not know the symptoms of diseases suffered by cats. So the treatment that should have been carried out at the beginning is delayed and the cat is no longer healthy because it is already suffering from an illness. The lack of veterinarians is also one of the factors causing delays in treatment for cats. For this reason, we need a system that can store knowledge about the symptoms and treatment process of the disease experienced by the cat. Expert system is a system that adopts human knowledge into a computer so that the computer is able to solve problems the way an expert works. Meanwhile, the Certainty Factor Method is a method that defines a measure of certainty regarding facts or rules to describe an expert's confidence in the problem being faced. Based on the results of the trials carried out, it was found that the highest confidence value was in the symptoms of Ringworm disease with a confidence value of 91%.
Co-Authors Kusuma, Retno Ayu Ningsih, Nur Ema Tiana Novriyenni, Novriyenni Pardede, Akim Manaor Hara Silvia, Sindy Yani Maulita