INTERNAL (Information System Journal)最新文献_第4页

Perancangan Data Warehouse Sistem Pendaftaran Mahasiswa Menggunakan Online Analytical Procesing (OLAP) di Universitas Ma’soem

INTERNAL (Information System Journal) Pub Date : 2021-06-30 DOI: 10.32627/INTERNAL.V4I1.143

M. F. Nugraha, M. Furqon

引用次数: 1

PREDIKSI KESEHATAN MASYARAKAT INDONESIA MENGGUNAKAN RECURENT NEURAL NETWORK 印尼公共卫生预测使用神经网络RECURENT

INTERNAL (Information System Journal) Pub Date : 2021-06-30 DOI: 10.32627/INTERNAL.V4I1.139

Amril Mutoi Siregar, Jajam Haerul Jaman, Abdul Mufti

{"title":"PREDIKSI KESEHATAN MASYARAKAT INDONESIA MENGGUNAKAN RECURENT NEURAL NETWORK","authors":"Amril Mutoi Siregar, Jajam Haerul Jaman, Abdul Mufti","doi":"10.32627/INTERNAL.V4I1.139","DOIUrl":"https://doi.org/10.32627/INTERNAL.V4I1.139","url":null,"abstract":"Health is very important for all human beings, especially in Indonesia, because human health can do activities properly and have high performance for both work and other social life. The task of predicting the future values of a time series is a problem that applications have in areas such as sales, engineering, epidemiology, etc. Much research effort has been made in the development of predictive models and performance improvement. The level of public health in Indonesia from 1995 to 2018 varied with the percentage of the population who experienced health complaints. The purpose of this study is to predict the future health of the Indonesian public so that it can be used as a tool to determine government policies in the health sector. The method used in predicting is the Recurent Neural Network (RNN) with secondary data sourced from the Central Statistics Agency (BPS) in the form of data sets, and dividing the data sets into training data and test data. Before the data is used as training data, we clean and tidy up the data first so that when it is implemented there are no errors either during training or testing. The results showed that at the beginning of the method RNN, the prediction results were far from the data, after an interval of 7 and above the predicted results were actually the same. Based on Figures 5 and 6, it can be said that the RNN method is very good for the prediction method.","PeriodicalId":421147,"journal":{"name":"INTERNAL (Information System Journal)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115887978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

INFORMATION SYSTEM FOR MANAGEMENT PROSPERITY COUNCIL OF MOSQUE 清真寺繁荣理事会管理信息系统

INTERNAL (Information System Journal) Pub Date : 2021-06-30 DOI: 10.32627/INTERNAL.V4I1.154

D. Heryanto

引用次数: 0

Perbandingan Interpretasi Analisis Data Page View dan Click Related Post Pada Website Edukasi Sebagai Implisit Feedback Dengan Hasil Interpretasi Penggunaan Teknologi EyeTracking

INTERNAL (Information System Journal) Pub Date : 2021-01-04 DOI: 10.32627/INTERNAL.V3I2.120

Riad Taufik Lazwardi, Khoirul Umam

引用次数: 0

Implementasi Teknik Remarketing Menggunakan Tools Google Analytics untuk Melakukan Promosi PMB Tertarget

INTERNAL (Information System Journal) Pub Date : 2021-01-04 DOI: 10.32627/INTERNAL.V3I2.53

Yopi Hidayatul Akbar

{"title":"Implementasi Teknik Remarketing Menggunakan Tools Google Analytics untuk Melakukan Promosi PMB Tertarget","authors":"Yopi Hidayatul Akbar","doi":"10.32627/INTERNAL.V3I2.53","DOIUrl":"https://doi.org/10.32627/INTERNAL.V3I2.53","url":null,"abstract":"Marketing strategy is very important for companies where marketing strategy is a way of achieving the goals of a company, because the potential to sell a proposition is limited to the number of people who see it. With the conventional marketing concept, the target to achieve the goal cannot be maximized, it only eliminates time and cost. With the large number of smartphone users and information technology today, digital marketing techniques will be more efficient, because marketing targets can be managed to only certain segments. The application of remarketing techniques is of course not only done by google analytics, but also Facebook ads to monitor events or user interactions with ads that have reached certain locations. At this time, implementing the remarketing method on Google Analytics and Facebook Ads by utilizing research events and ad conversion so that data that has interacted with ads on Facebook will also enter into tracking data. From the analysis of the results that have been carried out by the author, it can be concluded that online marketing techniques with the application of appropriate remarketing techniques will be able to increase visitor traffic. The evaluation results are expected to be a good solution and recommendations for online promotion so that the results can be targeted as expected.","PeriodicalId":421147,"journal":{"name":"INTERNAL (Information System Journal)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133635028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sistem Preventive Maintenance Berbasis Web dengan Menggunakan Algoritma Priority Scheduling pada PT. Beta Pharmacon

INTERNAL (Information System Journal) Pub Date : 2021-01-04 DOI: 10.32627/INTERNAL.V3I2.112

Bayu Priyatna, Topan Trianto, Julifer P Manurung, Nono Heryana, Arip Solehudin

引用次数: 0

Sistem Informasi Pengalokasian Biaya Bahan Baku dengan Metode Harga Pokok Pesanan pada PT. Dian Karya Estate 信息系统分配原料成本与房地产订货的原始价格方法

INTERNAL (Information System Journal) Pub Date : 2021-01-04 DOI: 10.32627/INTERNAL.V3I2.116

Nining Rahaningsih, Raditya Danar Dana, Nana Suarna, Sri Muflikah Kurniarti

{"title":"Sistem Informasi Pengalokasian Biaya Bahan Baku dengan Metode Harga Pokok Pesanan pada PT. Dian Karya Estate","authors":"Nining Rahaningsih, Raditya Danar Dana, Nana Suarna, Sri Muflikah Kurniarti","doi":"10.32627/INTERNAL.V3I2.116","DOIUrl":"https://doi.org/10.32627/INTERNAL.V3I2.116","url":null,"abstract":"Raw material costs are an important part of company operations, so we need a system that can accurately present raw material cost data which will be used as consideration for the company in making decisions. The system that is currently running at Kinaya Residence still uses a manual system so it is difficult to find accurate information. Based on the results of preliminary research, it can be concluded that in processing raw material costs using the cost of order method with the following characteristics 1) The nature of production is intermittent depending on on orders received, 2) The shape of the product depends on the specifications of the customer, 3) Collection of production costs is done on the order cost card, 4) the total production cost is calculated after the order is completed, 5) The production cost per unit is calculated, by dividing the total production cost by the total units ordered, 6) Accumulated costs generally use normal costs, 7) Products that have been completed are immediately handed over to the customer. Then to design a raw material cost allocation system that uses traditional methods with the programming language used is Hypertext Preprocessor. With this information system for allocating raw material costs, it is hoped that the presentation of financial reports about raw materials in companies can be done easily, quickly and accurately.","PeriodicalId":421147,"journal":{"name":"INTERNAL (Information System Journal)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126296098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analisis Faktor yang Mempengaruhi Minat Masyarakat terhadap Jual Beli Online dengan Menggunakan Technology Acceptance Model

INTERNAL (Information System Journal) Pub Date : 2021-01-04 DOI: 10.32627/INTERNAL.V3I2.115

M. Wijana

引用次数: 0

Penggunaan Unmanned Aerial Vehicle untuk Pemetaan Lahan Wisata Desa Sindang Pakuwon Parakan Muncang 使用Unmanned空气Vehicle为Sindang Pakuwon Parakan村旅游地图

INTERNAL (Information System Journal) Pub Date : 2020-07-29 DOI: 10.32627/INTERNAL.V3I1.96

Toni Kusnandar

引用次数: 0

Sistem Pakar Identifikasi Hama Pada Tanaman Cabai dalam Upaya Meningkatkan Kualitas Cabai 为了提高辣椒的质量，研究辣椒植物的病虫害识别系统

INTERNAL (Information System Journal) Pub Date : 2020-07-29 DOI: 10.32627/INTERNAL.V3I1.99

Cep Lukman Rohmat, Nana Suarna, Nining Rahaningsih, Elisa Sriyulia

{"title":"Sistem Pakar Identifikasi Hama Pada Tanaman Cabai dalam Upaya Meningkatkan Kualitas Cabai","authors":"Cep Lukman Rohmat, Nana Suarna, Nining Rahaningsih, Elisa Sriyulia","doi":"10.32627/INTERNAL.V3I1.99","DOIUrl":"https://doi.org/10.32627/INTERNAL.V3I1.99","url":null,"abstract":" The lack of supply of chili in the market causes the price to rise sharply. The price of chillies is almost unreasonable to far beyond the price of meat. Gray (Spodoptera litura) and Fungus colletotrichum are two of the main causes of chili plants which cause many chili plants to die or fail to harvest. must experience failure due to a lack of understanding of the beginning of the pest attacking the plants. In addition, the attack on chili plants is a high risk that must be faced by farmers.In this study using the Forward Chaining Method. Forward Chaining is an inference process that starts the search from the premise or input data in the form of symptoms leading to conclusions, namely the conclusion of pests that attack chilli plants and provide solutions for advice on handling and prevention based on observed symptoms. Data used from pest data caused by small animals such as caterpillars and flies.The results are expected to be able to identify quickly, precisely and accurately the chili plants. In addition, it is expected to be able to help farmers in anticipating the symptoms of the occurrence of pests in chili plants from an early age so that preventive measures will be taken immediately. Accuracy and accuracy are needed in identifying the symptoms of pest in accordance with the expected results.","PeriodicalId":421147,"journal":{"name":"INTERNAL (Information System Journal)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114818332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0