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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Innovative: Journal Of Social Science Research
Jenie
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Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice Public Health Other

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Penerapan Algoritma Apriori Untuk Menentukan Impor Barang Pada PT. Pafa Mandiri Sakti Lea; Jenie
Jurnal PROCESSOR Vol 15 No 1 (2020): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2020.15.1.767

Abstract

In the world of international trade, export and import activities are very important activities especially for countries that have an open economy, such as our country, Indonesia. Where export is the activity of sending goods from abroad, while import is the activity of importing goods from abroad into the country. In Indonesia alone many companies are engaged in imports. As an importer company many obstacles are experienced, one of which is the accumulation of goods in the warehouse which causes losses for the company. This happens because of an imbalance between imported goods and market demand. Because of these problems, a method is needed to find out which products have the most sales and how the product is related to one another, one of the algorithms in the data mining algorithm is a priori algorithm. Apriori algorithms include types of association rules in data mining. One of the stages of association analysis that attracts many researchers to produce efficient algorithms is analysis of high frequency patterns (frequent pattern mining). The importance of an association can be known by two benchmarks, namely: support and confidence. Support (supporting value) is the percentage of the combination of these items in the database, while confidence (certainty value) is the strength of the relationship between items in the association rules. Apriori algorithms can help to develop an inventory strategy in order to facilitate marketing.
Perbedaan Besar Resiko Kejadian Kanker Serviks Berdasarkan Jenis Kontrasepsi Hormonal Di RSD dr. Soebandi Istiqomah, Istiqomah; Jenie; Sasmito, Lulut; Maryanti, Syiska Atik
Innovative: Journal Of Social Science Research Vol. 6 No. 3 (2026): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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Abstract

Abstrak Secara global, kanker serviks adalah kanker keempat paling umum pada wanita, dengan 604.000 kasus baru pada 2020 menurut WHO. Di Indonesia, kanker serviks menempati peringkat kedua setelah kanker payudara, dengan 36.633 kasus pada 2021, sementara di Kabupaten Jember tercatat 160 kasus pada 2023 di RSD dr. Soebandi. Peningkatan ini terkait dengan tingginya penggunaan kontrasepsi hormonal, yang digunakan oleh 55,36% pasangan usia subur di Indonesia, dan dianggap sebagai salah satu faktor terjadinya kanker serviks. Metode: Penelitian ini menggunakan desain kuantitatif dengan pendekatan studi kasus kontrol (case control). Sebanyak 136 responden dilibatkan, terdiri dari 68 responden dengan kanker serviks (kelompok kasus) dan 68 responden tanpa kanker serviks (kelompok kontrol). Data diambil dari rekam medis di Instalasi Rekam Medis RSD dr. Soebandi menggunakan teknik simple random sampling. Pengumpulan data dilakukan pada 18–29 November 2024. Analisis data dilakukan menggunakan uji Chi Square dengan tingkat signifikansi α = 0,05. Hasil: Hasil penelitian menunjukkan bahwa tidak terdapat perbedaan yang signifikan dalam risiko kejadian kanker serviks berdasarkan jenis kontrasepsi hormonal, yaitu Depo Medroxyprogesteron Acetate (DMPA) dan kombinasi. Hasil ini memberikan implikasi bahwa faktor lain di luar jenis kontrasepsi hormonal mungkin memiliki pengaruh lebih besar terhadap kejadian kanker serviks, sehingga diperlukan penelitian lanjutan untuk mengidentifikasi faktor risiko lain secara lebih mendalam. Kata kunci: Kanker Serviks, Kontrasepsi Hormonal, Depo Medroxyprogesteron Acetat, Kombinasi
Co-Authors istiqomah istiqomah Lea Lulut Sasmito Syiska Atik Maryanti