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All Journal Jurnal Mantik Penusa JIPN (Journal of Informatics Pelita Nusantara) Jurnal Mantik Jurnal Teknik Informatika C.I.T. Medicom Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Yennimar Yennimar
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

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Analysis of Sales Vitamins Drugs Covid-19 Pandemic with the Random Forest Method Yennimar Yennimar; Miko Pasaribu; Laila Hendrina; Ayu Widila; Dono Sitinjak
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

During the covid-19 pandemic that occurred in Indonesia until the new normal period, consumer demand for a vitamin drug was fast and unpredictable, thus making pharmacies must be able to plan the optimal supply of vitamin drugs based on the graph of public demand during the pandemic and new normal. This means that the pharmacy does not experience a shortage of stock or excess stock. Therefore, all systems that can predict sales of vitamin drugs are needed during the new normal pandemic. To be able to make predictions, an appropriate method is needed to get accurate results. One of them is the Random Forest method. With Random Forest, the data is predicted based on attribute data so as to produce a conclusion about the value of the desired attribute. Based on this study, 200 sales data of vitamin drugs were taken during the pandemic and new normal with categories of vitamin B complex drugs, vitamins C, D, E, K and Multivitamins and the attributes used were vitamin brand, category, sales conditions, price and sales category. and doesn't work. The test results from this study, it was found that the prediction of vitamin drug sales during the new normal pandemic using the Random Forest method obtained 100% accuracy for testing data with a composition of 80:20, 70:30 and 60:40, so that vitamin drugs would still be sold in new normal.
Comparison Analysis of SVM Algorithm with Linear Regression in Predicting used Car Prices Yennimar Yennimar; Kelvin Kelvin; Suwandi Suwandi; Amir Amir
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

During the high activity , car has become a basic need. On the other hand, the price of new car is getting higher. To meet these needs, people are looking for alternatives by buying used cars. One of the factors to consider when looking for a used car is price. In this study, two algorithms that are quite popular in terms of prediction will be tested, namely the Support Vector Machine algorithm and the Linear Regression algorithm in predicting used car prices. Support Vector Machine is a supervised learning method that analyzes data and recognizes patterns for regression. Support Vector Machine has the ability to solve linear and nonlinear problems. Linear Regression Algorithm is a modeling and analysis of numerical data consisting of one or more independent variables and the value of the dependent variable, with the aim of using regression analysis to estimate the value of the dependent variable based on the value of the independent variable. The result of this research is that the SVM method can perform better than linear regression. SVM can perform kernel-tricks that can handle non-linear data, thus making the non-linear data appear to be linear. but this cannot be done by Linear regression.
Comparison Of Jenkins Box Method And Multiple Linier Regression In Predicting The Noble Metal Price Bayu Gunara; Yennimar Yennimar
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 2 (2019): Informatik
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.418 KB) | DOI: 10.35335/cit.Vol11.2019.15.pp66-73

Abstract

Nowadays, gold investment practitioners generally use instinct and guess in investing in gold. This is certainly a problem because it has a high error margin. To solve these problems, the forecasting process can be carried out.To be able to forecast gold prices with low error rates, various studies have been conducted. The Box-Jenkins method performs better than other methods in predicting the price of gold, because the Box-Jenkins method applies forecasting by relying on the historical statistics of gold prices beforehand. The Box-Jenkins method is an iterative of choosing the best model for the stationary series of a group of linear time series models called the ARIMA (Autoregressive Integrated Moving Average) model. However, the ARIMA method is a complex method and is not easy to use and requires a long execution time to obtain forecasting results with a high degree of accuracy. To improve the accuracy of prediction results from ARIMA, the ARIMA method can be combined with the multiple regression method into a hybrid method. The Multiple Linear Regression Method is a mathematical technique that minimizes the difference between the actual value and the predicted value.The results of this study are an application of forecasting the price of gold using the ARIMA method and Multiple Linear Regression. The application also provides a facility to test the results of the methods used. Based on the results of testing the accuracy of the prediction results from the hybrid method with 30 data = 48%, 60 data = 40%, and 118 data = 40.81%.
PEMASARAN ROTI JALA UNTUK MENINGKATKAN EKONOMI KELUARGA DI LINGKUNGAN 18 RENGAS PULAU MEDAN Sri Wahyuni Tarigan; Widya Fernanda Putri; Anita Christine Sembiring; Uni Pratama Tarigan; Yennimar Yennimar
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 3, No 2 (2023): Desember 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v3i2.1533

Abstract

Abstract: Roti jala is a typical food of the Malay people in North Sumatra. This dish is also often found in Riau. In Medan (Deli) North Sumatra, this food is often served with chicken curry or goat curry mixed with pickled pineapple and can also be served with pickled cucumber and carrots. Roti jala is a combination of Indian and Malay cuisine. Along with the development of the times, roti jala is not only sold by the Malay community, now various tribes have made and marketed it, including the community of Environment 18, Rengas Pulau Subdistrict. People in the 18 district of Rengas Pulau generally sell roti jala as an additional income of 70% and a main income of 30% to improve the family economy.Keyword: delicious bread meshAbstrak: Roti jala adalah makanan khas masyarakat Melayu di Sumatera Utara. Hidangan ini juga banyak di temui di Riau. Di Medan (Deli) Sumatera Utara makanan ini sering disajikan dengan gulai kari ayam atau gulai kari kambing di campur acar nenas dan bisa juga dengan acar timun dan wortel. Roti jala merupakan perpaduan masakan India dengan Melayu. Seiring dengan perkembangan zaman roti jala tidak hanya di jual oleh masyrakat Melayu saja, saat ini berbagai suku telah membuat dan memasarkannya termasuk masyrakat Lingkungan 18 Kelurahan Rengas Pulau. Masyarakat di lingkungan 18 Kelurahan Rengas Pulau umumnya menjual roti jala sebagai penghasilan tambahan sebanyak 70% dan penghasilan utama sebanyak 30% untuk meningkatkan ekonomi keluarga.Kata kunci: jala roti
SOSIALISASI KANDUNGAN ZAT BERBAHAYA PADA PANGAN JAJAN ANAK SEKOLAH DENGAN METODE UJI CEPAT DI SD. NUR FADILLAH Sri Wahyuni Tarigan; Widya Fernanda Putri; Anita Christine Sembiring; Uni Pratama Tarigan; Yennimar Yennimar; Christin Erniati Panjaitan; Dini M. Hutagalung
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 4, No 2 (2024): Desember 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v4i2.2546

Abstract

Abstract: Currently, the food circulating in society, especially in elementary schools, mostly consists of processed foods laden with additives, the safety of which for children is unknown.The purpose of this activity is to provide information and knowledge about the dangers of consuming snacks that contain harmful substances such as formalin, borax, and synthetic dyes in the school environment. This initiative also aims to introduce methods for testing children's snacks that contain harmful substances in schools. The participants of the activity are teachers and 6th-grade students at SD Nur Fadhillah Medan. The activity included socialization about the dangers of snacks containing borax, formalin, and textile dyes through a demonstration of rapid testing using a rapid test kit to test for formalin, borax, and synthetic dyes. The results obtained after testing school snacks using the rapid test method showed that 70% of the school children's snacks in Nur-Fadilah contained harmful additives. Keyword: Rhodamin_B Abstrak: Saat ini, makanan yang beredar di masyarakat, khususnya di sekolah dasar, sebagian besar merupakan makanan olahan yang sarat dengan zat aditif,  yang tidak di ketahui keamanannya bagi anak.Tujuan dari kegiatan  ini adalah untuk memberikan informasi dan pengetahuan tentang bahaya mengkonsumsi jajanan  yang mengandung zat berbahaya seperti formalin, boraks, dan pewarna sintetis di lingkungan sekolah. Inisiatif ini juga bertujuan untuk memperkenalkan metode pengujian pangan jajan anak yang mengandung zat berbahaya  di sekolah. Peserta kegiatan adalah guru dan siswa kelas 6 di SD Nur Fadhillah Medan. Kegiatan tersebut meliputi sosialisasi tentang bahaya  jajanan yang mengandung boraks, formalin, dan pewarna tekstil dengan cara  demonstrasi uji cepat  menggunakan rapid tes kit  untuk  menguji formalin, boraks dan pewarna sintetis. Hasil yang di peroleh setelah dilakukan pengujian jajanan sekolah dengan metode uji cepat sebanyak 70 % pangan jajan anak sekolah di Nur-Fadilah mengandung zat aditif yang berbahaya. Kata kunci: Rhodamin_B
Co-Authors Amir Amir Anita Christine Sembiring Anita Yose Fanny Manurung Annisa Fadhlila Antonius Nyomadi Ayu Widila Bayu Gunara Charles Charles Christin Erniati Panjaitan Cindy Cindy Denny Peter Leonardo Dini M. Hutagalung Dono Sitinjak Estomih Wau Evan Chandra Sibarani Gerson Tandiono Irwansyah Irwansyah Ivan Leonardo Silaban Jodi Alexsander Laia kelvin kelvin Laila Hendrina Landong Hutasoit Lena LH Hasibuan Miko Pasaribu Muhammad Iqbal Tri Rahmadi Muhammad Yusuf Pradana Yusna Pratiwi Pratiwi Ray Sanjaya Gulo Reinhard Oktaveri Gultom Reni Lusiana Simangunsong Reza Syahputra Risda Amelia Amanta Br Ginting Sri Wahyuni Tarigan Standley Malvin Japardy Stephen Boy Kristian Tafonao Sunarly Wijaya Suwandi Suwandi Syandi Nainggolan Uni Pratama Tarigan Widya Fernanda Putri