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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Applied Information System and Management Query : Jurnal Sistem Informasi JISTech (Journal of Islamic Science and Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Informatika JTIK (Jurnal Teknik Informatika Kaputama) JURNAL PIONIR JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing Syntax: Journal of Software Engineering, Computer Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Mahasiswa Sistem Informasi (JMSI) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Instal : Jurnal Komputer Jurnal J-PEMAS Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Brilliance: Research of Artificial Intelligence Prosiding Snastikom Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Scientech Research and Development Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Krisnadana Data Sciences Indonesia (DSI) Jurnal Krisnadana Kohesi: Jurnal Sains dan Teknologi
Septiana Dewi Andriana, Septiana Dewi
Universitas Harapan Medan, Indonesia
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Journal : Prosiding Snastikom

 1 
Analisis Data Pasien Klinik Halim Untuk Menentukan Masa Menopouse Menggunakan Metode Teorema Bayes Melfiyanti Wau; Ahmad Zakir; Septiana Dewi Andriana
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

Abstract Menopause is a transitional period from mentruation to no longer having menstruation. Women who have enteredmenopause are likely to experience a deterioration in health, especially physical changes. Hot flushes, vaginasbecoming dry, sagging skin and wrinkles are examples of physical changes. The physical changes caused bymenopause can affect the psychological condition of menopausal women such as irritability, anxiety, stress anddepression. The problem of uncertainty of knowledge in this expert system is solved using the method of Bayes' Theorem. The process of determining the diagnosis in this expert system begins with a consultation session, wherethe system will ask relevant questions to the patient according to the main symptoms of monopause diseaseexperienced by the patient. Bayes' theorem is used to calculate the probability of an event occurring based on theinfluence obtained from the results of observations. In addition to this bayes theorem method makes use of sampledata obtained from the population also takes into account an initial distribution called the prior distribution. Thefinal result of this study is an expert system for diagnosing monopause diseases along with the probability valueof the diagnosed disease, which shows the level of system confidence in the disease and the therapeutic advice thatshould be given.
E-Commerce Komoditas Berbasis PWA Pada PT.Bejo Agro Lestari Menggunakan Framework Laravel Yulia Agustina Dalimunthe; David Gladio Situmorang; Septiana Dewi Andriana
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

PT. Bejo Agro Lestari is a commodity trading business that was founded in early 2019 and operates in the city of Medan. Initially, trade was still limited to coffee commodities, with the terms green beans and roasted coffee, where sales of coffee commodities were B2C or Business to Customer. The problem with the current company is that the use of system still uses conventional methods in making sales to sales. This is less effective because sales are still door to door and use instant messages via WhatsApp, Gmail or consumers come directly to the place of business. How to sell products that are still conventional, it is impossible to increase sales significantly, so from this problem the authors get a solution to solve it, namely by building a PWA-based E-Commerce system on B2C or Business to Customer products with the SDLC Waterfall method, which is expected to provide information commodity products such as green beans and roast beans, which are useful for helping customers find detailed product information such as price and quality, and can easily update coffee product data in real-time using the REST API web service. The application of PWA-based ecommerce is expected to help increase the company’s coffee product sales.
Co-Authors Ahmad Zakir Ahmad Zakir, Ahmad Al Khowarizmi Arianta Sariedi Munthe Arie Rafika Dewi Arief Muhammad, Arief Aryo Pratama Ashri Prastiko Juned Aulia Pratama Tambunan Azmi, M. Zulfadli Dalimunthe, Yulia Agustina David Gladio Situmorang Dzikriy Al-Muntazhim Lubis Edy Rahman Syahputra Eka Rahayu Elsera, Marina Fahreza, Ganang Yudha Fajrillah Fauzi Pratama Fera Damayanti Hadinata, Edrian Haida Dafitri Haida Dafitri Haida Dafitri Haida Dafitri, Haida Halimatussa’diah, Halimatussa’diah Hasdiana Hasdiana, Hasdiana Hasibuan, Sri Heriani Hediningtias Wulaningrum Heri Santoso Ilka Zufria Indah Sari Daulay Iqbal Maulana Syahputra Irvan, Irvan Kirana, Qisi Desika Lubis, Husni lubis, ihsan M Tuahoryanda Tarigan Maliha Anjely Putri Sinaga Masnauli, Nur Melfiyanti Wau Mhd. Wahyuda A. Pasaribu Muhamad Alda Muhammad Dedi Irawan Muhammad Fikri Muhammad Hafiz Muhammad Ikhsan Handoko Muhammad Isya Nasution Muhammad Nawawi Muhammad Zulfikar Lubis Nasution, Muhammad Irwan Padli Nurjamiyah, Nurjamiyah Pratama, Aryo Qadri, Habib Al Rachmat Edy Rismayanti Rozi, M Fahrur Samsudin, Samsudin Sembiring, Boni Oktaviana Simatupang, Salmi Saputra SITI NURJANAH Syahputra, Iqbal Maulana Tamara Putri Tantri Hidayati Sinaga Triase Triase Triase Triase, Triase vani, Sheren yo