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All Journal Jurnal Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) Indonesian Journal on Software Engineering (IJSE) Jurnal Teknik Komputer AMIK BSI Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology JURNAL TEKNOLOGI DAN OPEN SOURCE Journal of Information System, Applied, Management, Accounting and Research EVOLUSI : Jurnal Sains dan Manajemen Jurnal Tekinkom (Teknik Informasi dan Komputer) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Infortech Jurnal Pengabdian Masyarakat Asia Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Reputasi: Jurnal Rekayasa Perangkat Lunak Simpatik: Jurnal sistem Informasi dan Informatika Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Informatics and Computer Engineering Journal Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat

Ratih Yulia Hayuningtyas

Universitas Bina Sarana Informatika

Author-ID : 4174328

Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Analisis Keranjang Belanja Pada Transaksi Penjualan Menggunakan Algoritma Apriori Retno Sari; Ratih Yulia Hayuningtyas
Evolusi : Jurnal Sains dan Manajemen Vol 9, No 1 (2021): Jurnal Evolusi 2021
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v9i1.9999

Data pada transaksi penjualan dapat diolah menjadi informasi yang dapat dimanfaatkan untuk mengetahui perilaku konsumen. Informasi ini dapat dimanfaatkan pelaku usaha untuk memudahkan dalam proses stok barang, analisis, retensi pelanggan dan deteksi penipuan. Tujuan dari penelitian ini yaitu untuk mengetahui perilaku pembeli pada keranjang belanja untuk mengetahui menu makanan pada restoran yang diminati. Analisis keranjang belanja ini dilakukan dengan mengimplementasikan algoritma apriori untuk mengetahui aturan asosiasi pada setiap itemset, pada penelitian ini dilakukan dengan melakukan aturan kombinasi 3 itemset. Pada penelitian ini ditentukan untuk nilai support minimumnya sebesar 20% dan nilai minimum confidencenya sebesar 50%. Didapati bahwa konsumen sering membeli gurame bakar, kangkung, karedok, tahu goreng (isi 5pcs), tahu ondel (isi 5pcs), toge cah bawang putih.

PERANCANGAN SISTEM INFORMASI PENCATATAN GIZI BALITA DENGAN METODE FORWARD CHAINING Retno Sari; Ratih Yulia Hayuningtyas
Evolusi : Jurnal Sains dan Manajemen Vol 8, No 2 (2020): Jurnal Evolusi 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v8i2.8747

Posyandu merupakan unit kesehatan yang berada dimasyarakat untuk melayani kesehatan ibu dan balita. Setiap bulan posyandu mengadakan penimbangan terhadap balita untuk mencatat data umur, berat badan dan tinggi badan yang dijadikan indikator untuk melihat status gizi, tinggi badanm dan berat badan pada balita. Pencatatan ini digunakan untuk melihat balita yang masih berada di Bawah Garis Merah menggunakan standar Antropometri peniliaian gizi. Penilaian dengan antropometri menggunakan perhitungan Zscore dan melihat kategori ambang batas untuk melihat gizi pada balita. Untuk mengatasi permasalahan ini, maka dibuat penelitian ini dengan membuat suatu Sistem Informasi Pencatatan Gizi Balita menggunakan metode Forward Chaining yang dikembangkan dengan model SDLC untuk mempermudah pengurus posyandu dalam pencatatan data balita serta mengetahui balita yang masih berada di Bawah Garis Merah.

Implementasi Metode Triple Exponential Smoothing Untuk Prediksi Penjualan Alat Kesehatan Ratih Yulia Hayuningtyas
Evolusi : Jurnal Sains dan Manajemen Vol 8, No 1 (2020): Jurnal Evolusi 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v8i1.7404

Easy Touch Kolestrol Strip is one of medical device sought after medical device by medical staff and pharmacies because it is very helpful in checking health. The large demand for these goods, so that the stock of goods becomes out of control and there is an increase in demand at certain times resulting in customer needs not fulfilled. The incraese in demand occurs because there is no estimated number of sales, so there is a need to review the number of sales. For this reason, a forecasting method is needed that can provide a forecast value of the number of goods sold in the following month. In this study, the Triple Exponential Smoothing method uses alpha constants from 0,1 to 0,5. The results of this test produce the smallest error value by looking at Mean Absolute Deviation, Mean Square Error, and Mean Absolute Percentage Error. The smallest error value obtained from the alpha constant value of 0,1 with a MAPE result of 0,33%.

Implementasi Data Mining Dengan Algoritma Multiple Linear Regression Untuk Memprediksi Penyakit Diabetes Ratih Yulia Hayuningtyas; Retno Sari
Jurnal Teknik Komputer AMIK BSI Vol 8, No 1 (2022): JTK Periode Januari 2022
Publisher : Universitas Bina Sarana Informatika

According to WHO, diabetes is a metabolic disorder characterized by high levels of sugar in the blood. Diabetes is a deadly disease if the sufferer cannot control it and it will become a complication. Many people are affected by diabetes and find out too late, so that at the time of treatment the condition has complications. Early detection of diabetes is very helpful for sufferers to avoid complications that will occur. Therefore we need a data mining technique that can process data and prevent diabetes from an early age. Data mining is a process of extracting knowledge from a number of data to find a pattern. Data mining has been widely used, one of which is the prediction method to find out people with diabetes. There are so many prediction methods available, one of which is linear regression, where this method uses dependent and independent attributes. In this study, the multiple linear regression method is used to predict diabetes, and evaluates using RMSE (root mean square error). The results of this study produce an RMSE value of 0.403, the RMSE test uses cross validation by changing the number of validation value

Particle Swarm Optimization-based Support Vector Machine Method for Sentiment Analysis in OVO Digital Payment Applications Retno Sari; Ratih Yulia Hayuningtyas
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 4 No 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1776

Sentiment analysis is used to analyze reviews of a place or item from an application or website that then classified the review into positive reviews or negative reviews. reviews from users are considered very important because it contains information that can make it easier for new users who want to choose the right digital payment. Reviews about digital payment ovo are so much that it is difficult for prospective users of ovo digital payment applications to draw conclusions about ovo digital payment information. For this reason, a classification method is needed in this study using support vector machine and PSO methods. In this study, we used 400 data that were reduced to 200 positive reviews and 200 negative reviews. The accuracy obtained by using the support vector machine method of 76.50% is in the fair classification, while the accuracy obtained by using the support vector machine and Particle Swarm Optimization (PSO) method is 82.75% which is in good classification.

Pelatihan Pembuatan Poster dengan Menggunakan Microsoft Power Point Bagi Ibu-Ibu Majlis Taklim Hidayatullah Mubtabin Tangerang Puji Astuti; Duwi Putri Cahya Buani; Nia Nuraeni; Ispandi Ispandi; Ratih Yulia Hayuningtyas
Jurnal Pengabdian Masyarakat Vol 3 No 1 (2022): Jurnal Pengabdian Masyarakat
Publisher : LP2M Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v3i1.411

Dengan berkembangnya teknologi informasi saat ini, tidak dipungkiri bahwasannya ibu-ibu Majelis Taklim juga perlu mengetahui perkembangan teknologi informasi saat ini. Biasanya di Majelis Taklim Hidayatullah Mutabdiin selalu mengadakan acara dengan tema Maulid Nabi SAW, dan acara majelis lainnya. Biasanya ibu-ibu Majelis Taklim Hidayatullah Mutabdiin memberikan kepercayaan terhadap orang luar atau kepercetakan untuk membuat desain poster atau brosur setiap ada kegiatan. Solusi yang kami berikan yaitu memberikan pelatihan penggunaan Ms.Power Point ini agar dapat membantu para ibu-ibu Majelis Taklim dalam pembuatan poster atau design brosur untuk setiap kegiatan di dalam Majelis Taklim Hidayatullah Mutabdiin. Ibu-ibu Majelis Taklim Hidayatullah Mutabdiin dapat berkontribusi dalam pembuatan desain yang diinginkan disetiap acara, atau acara pribadi yang membutuhkan desain poster atau brosur

PENERAPAN PARTICLE SWARM OPTIMIZATION TERHADAP SUPPORT VECTOR MACHINE PADA REVIEW PENGGUNA TRANSPORTASI UDARA Retno Sari; Ratih Yulia Hayuningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 5 No 2 (2020): JITK Issue February 2020
Publisher : LPPM Nusa Mandiri

Air transportation is currently one of the alternative choice in travel by general public. To choose air transportation in accordance with the choice, the buyer can see a review of air transportation. Reviews obtained of text information from varios sources. Sometimes reviews about air transportation make it difficult for buyers to draw conclusions about air transportation information, so we need a method to determine the accuracy of an information. In this study air transportation review uses data of 100 reviews which are used as a dataset and then classified into 50 positive reviews and 50 negative reviews. The dataset will be tested with preprocessing steps and methods. The purpose of this research is the application of Particle Swarm Optimization to Support Vector Machine can increase the value of accuracy. This test resulted in an accuracy rate of 61,03% with AUC 0,953 with Support Vector Machine algorithm, while an accuracy of 71,00% with AUC 0,976 with the Support Vector Machine algorithm optimized with Particle Swarm Optimization. From the test results above, it can be concluded that the research using Support vector Machine algorithm which is optimized with Particle Swarm Optimization has an accuracy level of 9.97%.

ANALISIS SENTIMEN OPINI PUBLIK BAHASA INDONESIA TERHADAP WISATA TMII MENGGUNAKAN NAÏVE BAYES DAN PSO Ratih Yulia Hayuningtyas; Retno Sari
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Sentiment analysis is a text analysis to identify an opinion. Public opinion or reviews are important for visitors who will travel to tourist because of the reviews will produce information about the destination. One of the tourist attractions in Indonesia that Taman Mini Indonesia Indah one of the tourist attractions that has extraordinary. Reviews about Taman Mini Indonesia Indah make it difficult for visitors to draw conclusions about information about Taman Mini Indonesia Indah. Therefore a classification method in study with Naïve Bayes and PSO methods. In study using data as many 50 positive reviews and 50 negative reviews where the results of accuracy obtained using the Naïve Bayes method of 70% while the accuracy of using Naïve Bayes and PSO is 94,02%.

Sistem Informasi Persediaan Barang Menggunakan Unified Software Development Process Pada Toko Alat Kesehatan Ratih Yulia Hayuningtyas - STMIK Nusa Mandiri Jakarta
Evolusi : Jurnal Sains dan Manajemen Vol 6, No 2 (2018): Jurnal Evolusi 2018
Publisher : Universitas Bina Sarana Informatika

Abstract – Information system is very important for a company in carrying out operational activities. Information system be supported by information technology such as computer that used in data processing that will produce an information. Computers are needed in a company one of which is a trading company, where every activity of goods in and out required recording of goods. Manual recording of goods is often mistaken or human error, such as recording that is incompatible with incoming and outgoing goods, error ini checking stock, less efficient and inaccurate inventory data in search and delay in reporting inventory. To overcome this problem required a program that support the inventory system using Unified Software Development Porcess. Keywords: USDP, Information System Inventory Abstrak – Sistem informasi saat ini sangat penting untuk suatu perusahaan dalam menjalankan kegiatan operasional. Sistem informasi harus ditunjang dengan teknologi informasi seperti pemanfaatan komputer yang digunakan dalam pengolahan data yang akan menghasilkan suatu informasi. Komputer sangat diperlukan pada suatu perusahaan salah satunya yaitu perusahaan dagang, dimana setiap kegiatan barang masuk dan keluar diperlukan pencatatan barang. Pencatatan barang yang dilakukan secara manual sering terjadi kesalahan atau human error, seperti pencatatan yang tidak sesuai dengan barang yang masuk dan keluar, kesalahan dalam pengecekan stok, kurang efisien dan tidak akuratnya data persediaan dalam pencarian serta keterlambatan dalam pelaporan persediaan barang. Untuk mengatasi masalah ini diperlukan suatu program yang mendukung sistem persediaan menggunakan Unified Software Development Process. Kata Kunci: USDP, Sistem Informasi Persediaan

RANCANG BANGUN SISTEM INFORMASI PENJUALAN TAS PADA TOKO LOKALOP Ratih Yulia Hayuningtyas
Jurnal Sistem Informasi Vol 4 No 2 (2015): JSI Periode Agustus 2015
Publisher : LPPM STMIK ANTAR BANGSA

Abstract -- Information technology is important role, among others in the business world, this can be seen with the advent of electronic commerce (e-commerce). The Internet in business processes especially promotional activities and product purchasing services, making e-commerce in a business organization will provide benefits. E-commerce is the activity with of taking advantage of business such as sales, purchases, services, information and trading through intermediaries, namely computer networks, especially the Internet. Benefits of e-commerce to improve customer service and enhance the competitiveness of companies. Lokalop one store shop in the business of selling bags, which still uses the system used konvensionel system is certainly less effective in terms of promotion and less efficient in terms of sales. Conventional systems that buyers should come directly to the store so time consuming consumers far away from the store. Sales of conventionally not too much help because of the difficulty in the Promotion. Promotion directly approached potential buyers that it is definitely going to take a considerable cost. Therefore made online sales system to help the sales transaction at the store Lokalop.Â Intisari -- Teknologi informasi memegang peranan penting, diantaranya dalam dunia bisnis, hal ini dapat dilihat dengan munculnya electronic commerce (e-commerce). Dengan adanya internet dalam proses bisnis khususnya kegiatan promosi dan layanan pembelian produk, menjadikan e-commerce dalam suatu organisasi bisnis akan memberikan manfaat. E-commerce adalah kegiatan bisnis dengan tujuan mengambil keuntungan seperti penjualan, pembelian, pelayanan, informasi dan perdagangan melalui perantara yaitu jaringan komputer terutama internet. Manfaat e-commerce yaitu meningkatkan pelayanan terhadap pelanggan serta meningkatkan daya saing terhadap perusahaan. Toko Lokalop salah satu toko yang bergerak dibidang usaha penjualan tas, dimana sistem yang digunakan masih menggunakan sistem konvensional yang pastinya kurang efektif dalam hal promosi dan kurang efisien dalam hal penjualan. Sistem konvensional yaitu pembeli harus datang langsung ke toko sehingga menyita waktu pembeli yang berada jauh dari toko tersebut. Penjualan secara konvensional tidak terlalu banyak membantu karena sulitnya dalam berpromosi. Melakukan promosi secara langsung mendatangi calon pembelinya yang sudah pasti akan memakan biaya yang cukup besar. Maka dari itu dibuatlah sistem penjualan online dengan tujuan dapat membantu transaksi penjualan pada toko Lokalop. Â Kata kunci : Sistem, Informasi, Penjualan, Lokalop

Co-Authors Adnan Labib Hamdani Christian Silaban Defri Arifin Duwi Cahya Putri Buani Duwi Cahya Putri Buani Fadli Romadhon Trisnanto Hastuti, Regita Tri Ibnu Sina Alafgani Ida Darwati Ilham Darussalam Ispandi Ispandi Ispandi Linda Marlinda Marlina Marlina Muhammad Aldyanto Bayu Pratama Muhammad Dicky Setyawan Muhammad Nur Alamsyah Nia Nuraeni Nia Nuraeni Nia Nuraeni Nia Nuraeni Nia Nuraeni Nurul Hakim Puji Astuti Puji Astuti Puji Astuti Retno Sari Retno Sari Retno Sari Retno Sari Retno Sari Rosi Kusuma Serli Sari Hartini Septian Dika Nugraha Siregar, Melita Theo Chostha Ochktavia Wina Yusnaeni

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