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All Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Meri, Rozi
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Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Other

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Metode K.Means Clustering dalam Persebaran Covid 19 di Sumatra Barat meri, rozi
Jurnal EDik Informatika Vol 8, No 1 (2021)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2021.v8i1.4907

Abstract

Corona virus is a positive single strain RNA virus that infects the respiratory tract. Diagnosis starts from general symptoms in the form of fever, cough and difficulty breathing. One of the causes of the very high spread of the corona virus is due to physical contact with positive COVID patients. There are many impacts of the increasing corona virus in various countries, one of which is Indonesia. The high rapid spread of the corona virus has reached regional areas including the province of West Sumatra, therefore it is very necessary during this pandemic to keep your distance and stay away from crowds and comply with health protocols and stay away from areas that have a high spread of the corona virus. grouping or clusters of the spread of the corona virus in the West Sumatra region using the k-means clustering data mining method. The study was conducted using the variables confirmed, died, recovered and the number of positive . based on data that has been processed and produces information that can be expected to help the government to take decisions or actions to reduce the spread of the Corona virus in the West Sumatra region.
Penerapan Algoritma Naïve Bayes Dalam Pengelompokkan Air Layak Minum Sari, Dian Permata; Buana, Wira; Meri, Rozi; Perdana, Rika Widya
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.406

Abstract

Water is a basic human need, without water humans cannot carry out activities. However, not all types of water can be consumed and are healthy for humans. So it is important to check water quality regularly. Because the influence of weather can make the water quality unfit      consumption. To determine water quality, laboratory testing is required. This test requires complex analysis results so the time used in testing is relatively longer. In data mining there are classification techniques that can be used to group drinking water samples based on several variables that have been determined from water data. The aim of this research is to classify the types of drinking water that are suitable for consumption and the characteristics of healthy water. To process the data using the Naïve Bayes algorithm and produce an accuracy value of 75%.
Pelatihan Editing Foto dan Video Bagi Karang Taruna Limau Manis Peningkatan Promosi Potensi Desa Melalui Media Visual Syawaldipa, Ardi; Yosse, Sofia; Meri, Rozi; Fryonanda, Harfebi; Laia, Basmida
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 4, No 6 (2024): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v4i6.989

Abstract

This activity aims to improve photo and video editing skills as well as promote village potential through visual media for Karang Taruna Limau Manis. Mitra, a social organization in Limau Manis village, faced problems in technical editing skills and a lack of interesting visual content to promote their village. The solution offered is through intensive training using the CapCut and Lightroom mobile applications, as well as guidance in developing creative ideas for visual content. The benefit is an increase in the skills of Karang Taruna members, which will enable them to produce high-quality visual content that can increase the promotion of village potential. The expected output includes scientific publications, mass media publications, and publications on the Karang Taruna Limau Manis YouTube channel to expand promotional reach.ABSTRAKKegiatan ini bertujuan untuk meningkatkan kemampuan pengeditan foto dan video serta promosi potensi desa melalui media visual bagi Karang Taruna Limau Manis. Mitra, sebuah organisasi sosial kemasyarakatan di desa Limau Manis, menghadapi permasalahan dalam keterampilan teknis pengeditan dan kurangnya konten visual menarik untuk mempromosikan desa mereka. Solusi yang ditawarkan adalah melalui pelatihan intensif menggunakan aplikasi mobile CapCut dan Lightroom, serta pembimbingan dalam mengembangkan ide-ide kreatif untuk konten visual. Manfaatnya adalah peningkatan keterampilan anggota Karang Taruna, yang akan memungkinkan mereka untuk memproduksi konten visual berkualitas tinggi yang dapat meningkatkan promosi potensi desa. Luaran yang diharapkan mencakup publikasi ilmiah, publikasi media masa, dan publikasi di saluran YouTube Karang Taruna Limau Manis untuk memperluas jangkauan promosi. 
Kepuasan Pelanggan Terhadap Produk Toko H. MANTI menggunakan Konsep Sistem Pendukung Keputusan dengan Metode Smart Perdana, Rika Widya; Meri, Rozi
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i2.3053

Abstract

The purpose of this research was to see how high customer satisfaction was with the products offered by Toko H. Manti. The sample used for research data processing is badcover sales data on sales from September 2022 to September 2023. Decision support system data processing using the SMART (Simple Multi. Attribute Rating Technique) method. The data processed is bedcover data by comparing several bedcover products, namely, raline, illusion, my love, diva linen, california, and d'luxe kintakun bedcover. Through this method, data is processed through several stages, namely determining criteria and weight values, determining weight values, normalizing weight values, and determining utility values, as well as determining the final value. By carrying out these steps, the result was that the raline bedcover got the highest weighted score with a score of 99 and the becover that got the lowest score was the illusion bedcover with a score of 53.
Pengembangan Sistem Pendukung Keputusan Diagnosis Kanker Payudara Menggunakan Regresi Logistik Rayendra; Ikhsan; Meri, Rozi; Ismael; Eka Putra, Dian; Ahmad Efendi, Rostam; Ikhbal Salam, Riyan
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1344

Abstract

Kanker payudara merupakan salah satu penyebab kematian tertinggi pada wanita di Indonesia. Diagnosis yang akurat dan cepat sangat penting untuk meningkatkan tingkat kesembuhan pasien. Penelitian ini bertujuan mengembangkan sistem pendukung keputusan untuk diagnosis kanker payudara menggunakan model regresi logistik yang dioptimasi. Metode penelitian menggunakan dataset Wisconsin Diagnostic Breast Cancer yang terdiri dari 569 sampel dengan 30 fitur morfologis sel. Data dibagi menjadi 75% data latih dan 25% data uji. Model regresi logistik diimplementasikan dengan regularisasi L2 dan dievaluasi menggunakan analisis ROC, optimasi ambang batas dengan Indeks Youden, serta kalibrasi probabilitas menggunakan Expected Calibration Error (ECE). Hasil penelitian menunjukkan model mencapai akurasi 95,8%, sensitivitas 96,2%, dan spesifisitas 95,6% dengan nilai AUC-ROC 0,993. Optimasi ambang batas menghasilkan nilai optimal 0,560 yang menyeimbangkan sensitivitas dan spesifisitas. Kalibrasi probabilitas menunjukkan ECE sebesar 0,0390 yang dapat ditingkatkan menjadi 0,0328 menggunakan regresi isotonik. Kata kunci: kanker payudara, sistem pendukung keputusan, regresi logistik, kalibrasi probabilitas, optimasi ambang batas
Co-Authors Ahmad Efendi, Rostam Dian Permata Sari Eka Putra, Dian Fryonanda, Harfebi Ikhbal Salam, Riyan Ikhsan Ismael Laia, Basmida Perdana, Rika Widya Rayendra Syawaldipa, Ardi Wira Buana, Wira Yosse, Sofia