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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Teknika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Dinamika Ekonomi dan Bisnis JURTEKSI JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research Akasia: Artikel Ilmiah Sistem Informasi Akuntansi Jurnal Ekonomi Jurnal Ilmu Ekonomi Manajemen dan Akuntansi PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Accounting Information System Journal of Management and Informatics JIPETIK:Jurnal Ilmiah Penelitian Teknologi Informasi & Komputer J-CEKI
Wahyu Indrarti
Universitas Bina Sarana Informatika
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences

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Expert System Identification Of Learning Patterns The VARK Method Marlinda, Linda; Saputra, Dwiki; Indrarti, Wahyu
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.626 KB) | DOI: 10.33395/sinkron.v3i2.10091

Abstract

Nowadays computers have been widely used by many people, both parents, children, and adolescents. Basically, they only follow technological progress. And it eventually led to progress in the field of science. On the other hand, the background of the need for the seriousness of parents in knowing the pattern of their children's learning style is the amount of potential free time that is not well utilized by children in the learning process. Plus the number of parents who do not support children in developing their own mindset. Or the learning atmosphere that is still not conducive. In line with the advancement of technology and science, parents should be able to easily find out the right pattern of children's learning styles, to make it easier for their children to develop their mindset and imagination in the world of learning. And one of them can be by using an expert system. The expert system for identifying patterns of children's learning styles is an expert system designed as a tool for parents to identify patterns of children's learning styles with a dynamic knowledge base. This knowledge is obtained from various sources, including research carried out by experts in their fields and books related to learning styles. The knowledge base is arranged in such a way into logic with several provisions including the vark method (visual, auditory, read, kinesthetic), in order to facilitate system performance in making conclusions. Drawing conclusions in this expert system use the certainty factor method. This expert system will display several questions as indicators of the characteristics of the child's learning style that are felt, then later arrive at the final question. In the final result, the expert system will display the types of characteristics of the child's learning style.
Sistem Pendukung Keputusan Pemilihan Kemasan Makanan Menggunakan Metode ELimination Et Choix Traduisant La RealitA (ELECTRE) Marlinda, Linda; Indrarti, Wahyu; Zuraidah, Eva
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.648 KB)

Abstract

Kemasan dewasa ini mempunyai arti yang sangat penting bagi perusahaan. Dengan kemasan perusahaan dapat menarik minat pembeli dalam melakukan keputusan pembelian atas produk dimaksud. Dalam kemasan Yang ada saat ini terdiri dari kemasan berbahan plastik atau streoform, kaca dan kertas dengan alternatif pilihan terdiri dari kegunaanya, bentuk, bobot, daur ulang kemasan sehingga baik perusahan maupun pembeli dapat memilih kemasan terbaik untuk pembungkus barang produksinya. Masalah kemasan menjadi bagian kehidupan masyarakat setiap hari,utamanya dalam hubungannya dengan produk pangan. Kemasan mempunyai keburukan karena sering disalah gunakan oleh produsen untuk menutupi kekurangan mutu atau kerusakan produk, mempropagandakan produk secara tidak proporsional atau menyesatkan sehingga menjurus kepada penipuan atau pemalsuan sehingga berdampak pada kesehatan masyarakat. Penelitian ini difokuskan pada penerapan Multi Attribute Decision Making (MADM) pada Sistem pendukung Keputusan (SPK) Pemilihan tempat kemasan makanan mengunakan metode ELimination Et Choix Traduisant la Realité (ELECTRE) yang merupakan salah satu sistem yang menggunakan metode pengambilan keputusan multikriteria berdasarkan pada konsep outranking dengan menggunakan perbandingan berpasangan dari alternatif-alternatif berdasarkan setiap criteria yang sesuai. Pengambilan keputusan pada dasarnya adalah suatu bentuk pemilihan berbagai alternatif tindakan yang mungkin dipilih. Yang prosesnya melalui suatu mekanisme tertentu dengan harapan dapat menghasilkan keputusan terbaik sesuai kriteria yang digunakan..
Dog Disease Expert System Using Certainty Factor Method Marlinda, Linda; Widiyawati, Widiyawati; Indrarti, Wahyu; Widiastuti, Reni
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (441.851 KB) | DOI: 10.33395/sinkron.v4i2.10538

Abstract

Many animal keepers at home who do not know the disease contained in the animal's body. Especially for dogs, the lack of information begins to provide care, hygiene, vaccinations for the health of pet dogs and sickles that will be caused by dogs to their owners. Expert systems can provide solutions to the lack of information obtained by pet dog owners, especially dogs. With this expert system, the owner can know the dog's disease and realize the right prevention in treatment. In this paper 25, physical symptoms of the disease are used and found 8 types of common dog diseases. Five options are given to answer the calculation question using each method: no, quite sure, sure enough, certain, and certainty sure. Accuracy Analysis of each method is tested by assessing the results of each analysis method based on user feedback. The results of this study are the application of an expert system that can diagnose dogs using herbal medicines from plants. The purpose of this study is to implement the certainty factor method in the diagnosis system of canine diseases that can provide space in providing value confidence in knowledge. The conclusion in this study will show some questions as indicators of the characteristics of canine disease, until the final question. The conclusion of the study using the certainty factor method will show the characteristics of the disease in dogs. By being obtained from Rabies (0.9) with easy to get angry refuse nomal food; Hepatitis (0,9) with swelling of the liver occurs; Distemser (0,8) with stomach part blister and festering discharge from the eye; canine parvorius (0,8) with loss of appetite and poop there is blood, herpesvirus (0,8) with often roared and complaints, papilomatosis (0,9) with Smelly dog breath, and leptospirosis (0,7) with complaints, and dirofilaria immitis (0,9) with Unstable body temperature
Sistem Pendukung Keputusan Rumah Tinggal Menggunakan Metode Promethee Marlinda, Linda; Indrarti, Wahyu
Sinkron : jurnal dan penelitian teknik informatika Vol. 2 No. 2 (2018): SinkrOn Volume 2 Nomor 2 April 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (242.645 KB)

Abstract

Dengan semakin bertambahnya kebutuhan akan tempat tinggal dan bertambahnya penduduk di DKI Jakarta. Hal ini berbanding lurus dengan semakin banyaknya perumahan yang menawarkan rumah dengan berbagai macam harga, sarana dan prasarana, jarak, keamanan, keindahan dan lokasi yang strategis sebagai hunian yang nyaman. Namun pada realita banyak sekali ditemukan konsumen yang masih kesulitan dalam menentukan hunian yang akan ditempati. Konsumen hanya hanya terpaku pada harga dan mengesampingkan dari kriteria yang tidak kalah penting. Pemilihan rumah tinggal hanya berdasarkan informasi dari orang lain, pameran rumah, internet, pengamatan secara langsung dengan tidak mempertimbangkan kriteria-kriteria yang dibutuhkan sehingga sering menimbulkan masalah baru bagi para customer setelah membeli rumah tinggal yang diinginkan. Sistem pendukung keputusan tidak dimaksudkan untuk menggantikan peran pengambil keputusan, tapi untuk membantu dan mendukung pengambil keputusan. Salah satu metode yang sering digunakan dalam sistem pendukung keputusan adalah metode Preference Ranking Organization Method for Enrichment Evaluation (promethee) sebagai model pengambilan keputusan dapat digunakan untuk memberikan rekomendasi tempat tinggal sesuai kriteria yang diinginkan oleh para customer sesuai dengan keinginan customer berdasarkan data alternatif dan kriteria yang dipilih.
Expert System for Monitoring Elderly Health Using the Certainty Factor Method Marlinda, Linda; Widiyawati, Widiyawati; Widiastuti, Reni; Indrarti, Wahyu
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10653

Abstract

A person who is in the elderly phase will experience various decreases, ranging from decreased memory or senility, hormone production, skin elasticity, muscle mass, bone density, strength and function of body organs, and the immune system. As a result, it is difficult for the elderly or the elderly to fight against various kinds of disease-causing bacteria or viruses, comorbidities, and adaptation to the social environment. Due to the complexity of this health problem, improvements can not only be made in the aspect of health services but also improvements in the environment and engineering of population factors or hereditary factors, but it is necessary to pay attention to behavioral factors that have a considerable contribution to the emergence of health problems. This research uses the certainty factor (CF) method which can provide a measure of belief in a symptom as a measure of how much the value is in the later diagnosis. The purpose of making this expert system is so that patients, patient families, and medical teams can monitor the health of the elderly daily. The results of this study indicate that using the CF method has an accuracy rate of 91 percent for the prediction of patients who have cholesterol
Segmentation of Mango Fruit Image Using Fuzzy C-Means Marlinda, Linda; Fatchan, Muhamad; Widiyawati , Widiyawati; Aziz, Faruq; Indrarti, Wahyu
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 2 (2021): Article Research Volume 5 Number 2, April 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i2.10933

Abstract

Mango contains about 20 vitamins and minerals such as iron, copper, potassium, phosphorus, zinc, and calcium. The freshness of the ripe mango will taste sweet. The level of ripeness of the mango fruit can be seen from the texture of the skin and skin color. Ripe mangoes have a bright, fragrant color and a smooth skin texture. The problem found in mango segmentation is that the image of the mango fruit is influenced by several factors, such as noise and environmental objects. In measuring the maturity of mangoes traditionally, it can be seen from image analysis based on skin color. The mango peel segmentation process is needed so that the classification or pattern recognition process can be carried out better. The segmented mango image will read the feature extraction value of an object that has been separated from the background. The procedure on the image that has been analyzed will analyze the pattern recognition process. In this process, the segmented image is divided into several parts according to the desired object acquisition. Clustering is a technique for segmenting images by grouping data according to class and partitioning the data into mango datasets. This study uses the Fuzzy C Means method to produce optimal results in determining the clustering-based image segmentation. The final result of Fuzzy C-based mango segmentation processing means that the available feature extraction value or equal to the maximum number of iterations (MaxIter) is 31 iterations, error (x) = 0.00000001, and the image computation testing time is 2444.913636
Image stitching using a-kaze algorithm for borobudur panoramic on based feature Linda Marlinda; Faruq Aziz; Widiyawati Widiyawati; Wahyu Indrarti
Journal of Information System, Applied, Management, Accounting and Research Vol 5 No 4 (2021): JISAMAR, Volume 5, Nomor 4, November 2021
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v5i4.608

Abstract

Borobudur Temple is the largest Buddhist temple in Indonesia which has an area of 123 x 123 square meters consisting of 504 Buddha statues, 72 overlay stupas, and one main stupa, with 2,672 relief panels. Borobudur Temple also has nine platforms, six of which are square, and the remaining three are circular. Taking 2D images of Borobudur using a camera produces images that are far, small, and less clear. So we need a process of partial and overlapping image division. The process of combining multiple still images with overlapping fields of view to produce a segmented panoramic, resolution image. This method is widely used in object reconstruction. In this paper, we present a learning-based approach using the A-KAZE algorithm on the image merging process. The test results have been successfully carried out but the quality of the final result is highly dependent on the input image. A good input image has a fairly high intensity and has many objects in it, so it has many features found. Our approach directly estimates feature locations between image paired boundaries by maximizing the image-patch similarity metric between images. A collection of high-resolution images was collected for training and evaluation. The experimental results illustrate that the inner feature approach is better. This method can describe an image with a certain key point, where each key point has a gradient orientation (GO) and a gradient scale (GM) which is processed into features in the image registration process. The purpose of this study is to match images that have been cut off and in the process of merging they are still overlapping. The results of this study are that images that are split into two can be combined with image stitching.
PERANCANGAN SISTEM INFORMASI BIMBEL BERBASIS WEB Reni Widyastuti; Wahyu Indrarti
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 6 No. 2 (2019)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (963.709 KB)

Abstract

Perkembangan teknologi informasi berkembang sangat pesat di berbagai perangkat lunak hingga perangkat keras yang modern. Seiring perkembangan teknologi yang membantu aspek kehidupan berfungsi memudahkan aktivitas manusia seperti melakukan pendaftaran siswa bimbel dengan perangkat keras terkoneksi internet dan masuk ke halaman website yang dituju sehingga aktivitas pendaftaran menjadi lebih mudah dan efisien. Kajian ini bertujuan untuk membangun website bimbel dalam penerimaan peserta didik baru bisa melalui media online dan website ini dikembangkan dengan menggunakan bahasa pemrograman PHP, basis data MySQL, dan Adobe Dreamweaver CS 6 sebagai media editornya dengan menggunakan  Siklus Hidup Pengembangan Sistem (System Development Life Cylce). Metode SDLC menggunakan pendekatan sistem yang disebut pendekatan air terjun (waterfall approach). Website ini mempermudah para calon siswa dalam mendaftar bimbel karena cukup terhubung ke internet, dan pendaftaran bisa dilakukan dimana saja dan kapan saja. Pencatatan laporan keuangan maupun laporan data penerimaan peserta didik baru bimbel dapat lebih mudah serta siswa atau orangtua dapat berkomunikasi melalui website secara langsung. Kata Kunci : Sistem Informasi, Web,PHP, MySQL, Bimbel, metode waterfall
THE EFFECT OF WORK CULTURE, WORK ENVIRONMENT AND COMPENSATION ON JOB SATISFACTION AND THEIR IMPACT ON TELEVISION MEDIA EMPLOYEE LOYALTY IN JAKARTA Rani Rani; Wahyu Indrarti; Faizal Roni
Jurnal Ekonomi Vol. 11 No. 03 (2022): Jurnal Ekonomi, 2022 Periode Desember
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aimed to examine the effect of work culture, work environment, and compensation on job satisfaction and their effect on employee loyalty. This research is quantitative, and the research was conducted in Jakarta on television media workers, using a sampling technique in this study used is Purposive Sampling, with television employee's criteria and willingness to fill out a questionnaire. Collecting data using a Likert scale questionnaire, and from the data, collection results obtained 68 respondents who were willing to fill out the questionnaire. The collected data is processed using SmartPLS software. Based on the research results, work culture has a significant effect on job satisfaction, compensation has a significant effect on job satisfaction, work culture has a significant effect on loyalty, the work environment has a significant effect on loyalty, job satisfaction has a significant effect on loyalty, 8. Work culture has a positive effect on loyalty through job satisfaction, the Work environment has a negative effect on loyalty through job satisfaction, and compensation has a positive effect on loyalty through job satisfaction.
Mediasi Kepuasan Pelanggan pada Inovasi dan Dampaknya terhadap Brand Loyalty Aris Kurniawan; Wahyu Indrarti
Ilmu Ekonomi Manajemen dan Akuntansi Vol 4, No 1 (2023): Jurnal Ilmu Ekonomi Manajemen dan Akuntansi
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/ileka.v4i1.1604

Abstract

Dalam kota-kota besar saat ini, kebutuhan akan transportasi menjadi sangat penting. Pertumbuhan penduduk yang pesat dan kepadatan aktivitas masyarakat memunculkan kebutuhan akan transportasi yang cepat, murah, dapat diandalkan, dan mencakup seluruh wilayah kota. Dalam konteks ini, PT. Go-jek Indonesia hadir sebagai penyedia layanan transportasi yang berinovasi untuk memenuhi kebutuhan tersebut. Penelitian ini bertujuan untuk menganalisis pengaruh inovasi terhadap kepuasan pelanggan dan dampaknya terhadap brand loyalty GoJek. Sampel penelitian terdiri dari 96 pengguna GoJek di wilayah Jakarta Timur. Data yang dikumpulkan kemudian dianalisis menggunakan metode path analysis dengan bantuan perangkat lunak SPSS versi 24. Hasil penelitian menunjukkan bahwa pengaruh inovasi terhadap kepuasan pelanggan tidak signifikan. Artinya, inovasi yang diperkenalkan oleh GoJek tidak secara signifikan mempengaruhi tingkat kepuasan pelanggan. Selanjutnya, variabel inovasi juga tidak memiliki pengaruh signifikan terhadap brand loyalty. Demikian pula, kepuasan pelanggan tidak memiliki pengaruh yang signifikan terhadap brand loyalty. Selanjutnya, pengaruh variabel inovasi terhadap brand loyalty melalui kepuasan pelanggan sebagai variabel intervening juga tidak signifikan.
Co-Authors ., Widiyawati Aris Kurniawan Aziz, Faruq Daniel Dian Indah Sari Dian Mohamad Anwar Etika Sabariah Eva Zuraidah Faisal Roni faizal roni Faruq Aziz Handoko, Melyani Helmy Ivan Taruna Isyana Emita Ita Dewi Sintawati Lidwan, Nanang Linda Marlinda Linda Marlinda Luci Kanti Rahayu Mari Rahmawati Melyani Melyani, Melyani Muhamad Fatchan Rafik, Ahamd Rafik, Ahmad Rahadjeng , Indra Riyana Rahayu Swastika Rani Rani RANI RANI, RANI Reni Widiastuti Reni Widyastuti Rizkiana Karmelia Shaura Rosmita Rosmita, Rosmita Saddam Hussaen Saputra, Dwiki Saridawati Saridawati, Saridawati Setyowanti, Amanda Dwi Sucipto, Rakhmat Hadi Suminnten, Suminten Suminten Suminnten Suryani, Rani Teni Agustina Tukan, Mechtildis Berliana Widiastuti, Reni Widiyawati , Widiyawati Widiyawati Widiyawati Yuni Fitriani, Yuni