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Kasini, Kasini
Universitas Pahlawan TuankuTambusai
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HUBUNGAN KEPATUHAN KONTROL DENGAN KADAR GULA DARAH PUASA PASIEN DIABETES MELLITUS DI PUSKESMAS NGRAHO Fitria, Mei; Fitria Kurniati, Mei; Zainal Abidin, Ahmad; Kasini
Jurnal Ilmu Kesehatan MAKIA Vol 13 No 1 (2023): Jurnal Ilmu Kesehatan MAKIA
Publisher : LPPM ISTeK ICsada Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37413/jmakia.v13i1.256

Abstract

ABSTRACT Compliance control is an important aspect for success in controlling blood sugar levels.Difficulties in knowing health developments, causing the risk of complications will arise in patients with diabetes mellitus who do not routinely control blood sugar.The purpose of the study was to determine the relationship between control compliance with fasting blood sugar levels in patients with diabetes mellitus at the Ngraho Public Health Center. The research design uses quantitative methods with a Cross Sectional approach.The independent variable in this study is control compliance and the dependent variable is blood sugar levels.The population in this study were all 32 DM patients who took control in January-December 2020 using total sampling. The results showed that 16 respondents who complied with control had an average fasting blood sugar of 211.45 while 16 respondents who did not comply with control had an average fasting blood sugar of 189.20.Based on the Mann-Whitney test, the p-value was 0.142 with a significance value of <0.05, which means there is no relationship between Control Compliance and Blood Sugar Levels in Diabetes Mellitus Patients at the Ngraho Public Health Center. Increased fasting blood sugar levels occur not solely because of the regularity of the control schedule, but there are other factors such as age, irregular insulin use, foods with high glucose levels, excessive stress levels, and lack of activity. affect the body in controlling blood sugar levels.
Penerapan Sistem Inferensi Fuzzy untuk Menentukan Jumlah Pembelian Produk Berdasarkan Data Persediaan dan Penjualan dengan Menggunakan Metode Mamdani (Studi: Kasus RM Habibi) Hidayati, Nani; Kasini, Kasini; Permata, Aprilia
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.30604

Abstract

RM Habibi is a restaurant business that serves dishes to buyers and provides a place to enjoy the meal, as well as determining food and service costs. Although restaurants generally serve on site, there are also those that provide take away and delivery services as a form of service to buyers. Restaurants usually specialize in the types of food they provide and are their best sellers. Inventory problems are a problem that buyers always face. Inventory is needed because demand patterns are basically irregular. Inventory is carried out to ensure certainty that when needed the product is available. Fuzzy logic is one of the components that make up soft computing.  The application of the fuzzy inference system (FIS) with the mamdani method in the Demand, Supply and Sales prediction system can be concluded that the use of fuzzy logic can be used to predict demand, inventory and totals at the Habibi Restaurant. And test results with real data and surveys show results with a conformity level of up to 90%.
Penerapan Data Mining Untuk Clustering Pada Toko Laura Grosir Dan Eceran Menggunakan Algoritma K-Means Kasini; Hidayati, Nani
JUSTER : Jurnal Sains dan Terapan Vol. 2 No. 3 (2023): JUSTER: Jurnal Sains dan Terapan
Publisher : Jompa Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57218/juster.v2i3.990

Abstract

Perkembangan teknologi dan informasi di era 5.0 membuat toko-toko grosir dan ecer di tuntut untuk mengikutin perkembangan teknologi agar usaha mereka lebih berkembang dan dikenal tidak hanya dikenal di sekitar toko saja, Toko Laura adalah sebuah toko grosir dan ecer yang menjual kebutuhan primer, kebutuhan sekunder. Banyaknya produk yang dijual oleh toko laura membuat terjadinya penumpukkan stok, karena ada produk yang laris terjual, laris dan kurang laris terjual. Data- data yang terdapat di Toko Laura ini tidak tersusun dengan baik seperti data penjualan, data pembelian dan pengeluaran tak terduga hanya sebagai arsip toko, sehingga tidak dapat dijadikan sebagai pengembangan strategi pemasaran toko. Oleh karena itu, perlu diterapkan data mining menggunakan metode K-Means pada Toko Laura. Penerapan metode K-Means dapat diterapkan pada Toko Laura untuk menentukan produk mana saja yang sangat laris, laris dan kurang laris. Algoritma K-Means metode Clustering diolah menggunakan software RapidMiner. Setelah menghitung 75 data yang ada di toko laura ecer dan grosir selama periode 3 bulan dan kemudian dimasukkan ke dalam aplikasi RapidMiner dan dilakukan pengujiam sesuai dengan pengelompokan 3 cluster sehingga didapatkan hasil pengelompokkan barang sesuai dengan perhitungan yang dilakukan secara manual yaitu kategori laris (C1) 3 barang, Laris (C2) 9 Barang dan kurang laris (C3) 63 barang.
Co-Authors Adeswastoto, Hanantatur Alfredo Siagian Fitria Kurniati, Mei Fitria, Mei Kumala Sari, Resy Marwa, Safni Mufidah Herviany Nani Hidayati Nani Hidayati Nani Hidayati, Nani Nany Librianty novi yona sidratul munti Permata, Aprilia Raja Joko Musridho Rusnedy, Hidayati Sabrina Aulia Rahmah Safni Marwa Saleha Putri Delima Syifa Tanjung, Lailatul Tanjung, Lailatul Syifa Triyana Nurhidayah Yusmita, Yesi Zainal Abidin, Ahmad