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Silvia Rostianingsih
Program Studi Informatika
Computer Science & IT

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Penerapan Data Warehouse untuk Laporan Fact Finding pada PT Mitra Pinasthika Mulia Hendyk Cendana Santoso; Silvia Rostianingsih; Leo Willyanto Santoso
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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Abstract

PT Mitra Pinasthika Mulia uses the fact finding system to analyze the state of public relations within the company. But in making fact finding reports, companies still use manual methods namely by using Microsoft Excel. This causes the making of fact finding reports that are used to analyze public relations requires considerable time and labor.Therefore, the creation of a data warehouse for business intelligence programs is needed by the company PT Mitra Pinasthika Mulia in speeding up data processing and making fact finding reports that can help analyze public relations. This program helps reduce the time and labor needed to make fact finding reports. Data contained in reports and data warehouses in accordance with the wishes of the company. This program can be developed by adding the scope of data taken from each system of public relations found in the company PT Mitra Pinasthika Mulia.
Pemetaan Penyebaran Tingkat Kepatuhan Masyarakat dalam Menggunakan Masker di Pasar Tradisional Kota Surabaya dengan Metode Hot Spot Analysis (Getis-Ord Gi*) Stefanus Benhard; Silvia Rostianingsih; Resmana Lim
Jurnal Infra Vol 9, No 2 (2021)
Publisher : Jurnal Infra

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Abstract

According to a study conducted to see the level of effectiveness for using masks in case study by [1]), explains that if the use of masks has a positive impact on resulting transmission. Research conducted invloving cloth masks, surgical masks and Filtering Face Piece 2 (FFFP2) masks, with output results that the three types of masks show stable resuts to protect all the time and doesn’t depend on persons activities. At this moment, CoronaVirus Disease 2019 (COVID-19) is one of the disease that causes global pandemic and creates several new clusters, especially traditional market clusters. Traditional market is one of the driving wheels that can pursue society economy. In that case, there needs to be serious attention in taking self care by using protective equipment at least a mask. This mapping of the distribution level people for using masks combines many aspect such as map visualization, website information system and image processing for masks detection. The use of image processing plays an important role in the mapping system, that’s because the processing of manually counting people who are not using masks will take a lot of labor in its implementation. Image processing used is face mask detector and people counter with 82% average accuracy at the implementation process. The hot spot analysis mapping method cannot be used in static data types such as traditional market, because it will gave the same result in the same density of market location from day to day. The most exact method for the data type that compares the values of not using mask to the entire traditional market is Inverse Distance Weighted (IDW) Interpolated Method. Testing results using the new method show that there is a change for highest or lowest not using masks by people at the traditional market. This method only calculates the value and not calculate distance between each market.
Perancangan dan Pembuatan Aplikasi Sistem Informasi Akuntansi Berbasis Web pada Toko Bahan Bangunan UD. Surya Mas Fendy Haryanto Hansen; Silvia Rostianingsih; Christian Purnama
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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Abstract

Currently UD. Surya Mas does not have an accounting recording system with good information flow. All recording of transactions is still done manually, causing UD. Surya Mas is vulnerable to loss due to excess stock and stockout costs.Looking at the background of the problem, a structured accounting information system is designed using FIFO stock assumption. The accounting information system was created using PHP and MySql.The results obtained from this application include are master recording, purchase and sale transaction recording, position and mutation report of stocks, debt, accounts receivable, and accounts, as well as basic accounting report such as income statements, balance sheets, journals, and ledgers.
Rancang Bangun Sistem Pakar dalam Menentukan Resiko Penyakit Jantung Koroner Susangto Andi Putera S.; Silvia Rostianingsih; Kartika Gunadi
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

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Abstract

Currently, the use of expert system applications has been widely used by many people, and is supported by a very significant development. So it's easy to use by many people and has many benefits to support life today. With this application, ordinary people can easily learn the expertise of an expert so that it can be applied in everyday life. In this application, an expert system is applied to analyze the risk of a person to develop coronary heart disease and be able to do prevention as early as possible. In making this application, the programmer consulted experts (doctors) in making knowledge base (basis pengetahuan). Based on data test results, the application can work well and easily in its use. Application can provide good analysis results in diagnosing the possibility of cardiovascular disease using the parameters provided.Currently, the use of expert system applications has been widely used by many people, and is supported by a very significant development. So it's easy to use by many people and has many benefits to support life today. With this application, ordinary people can easily learn the expertise of an expert so that it can be applied in everyday life. In this application, an expert system is applied to analyze the risk of a person to develop coronary heart disease and be able to do prevention as early as possible. In making this application, the programmer consulted experts (doctors) in making knowledge base (basis pengetahuan). Based on data test results, the application can work well and easily in its use. Application can provide good analysis results in diagnosing the possibility of cardiovascular disease using the parameters provided.
Penerapan Metode Content Management System Untuk Mempermudah Mengubah Tampilan Website Yohanes Setiawan; Silvia Rostianingsih; Indro Setiawan
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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Abstract

Advances in science and technology bring new problems and challenges. One of them is the need to change the appearance of the website quickly and easily. The problem is that there are still many website owners who are not familiar with coding so changing the display is quite time consuming and difficult. In this study an experiment was conducted by categorizing each part of the website. each part is given a variable that can read input from the user and enter it into the database. the system then reads the database and changes its appearance to the data in the database. The test results show that the method of reading variables and databases can change the appearance of the website. website appearance can be changed without having to change the code in it.
PERANCANGAN DAN PEMBUATAN APLIKASI PERHITUNGAN HARGA POKOK PRODUKSI DENGAN METODE JOB ORDER COSTING PADA PT. HASIL WINDU MAKMUR DI PACIRAN, LAMONGAN Febry Suryanto; Alexander Setiawan; Silvia Rostianingsih
Jurnal Infra Vol 2, No 1 (2014)
Publisher : Jurnal Infra

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Abstract

PT. Hasil Windu Makmur is a companyengaged in breeding shrimp fry. PT. Hasil Macmur located inPaciran, Lamongan. These companies need information systemsthat can calculate the cost of production so that the work becomesmore effectives and efficients. This application was created byusing Microsoft Visual Studio 2005 VB. Net and SQL Server 2005as the database storage system . The method used in thecalculation of the cost of production is the job order costingmethod by using FIFO (First In First Out) on the stock feed andaverage on shrimp frieS. From the test results of applications,indicating that the application can process the data directlyrelated to the process of purchasing, production and salesautomatically. Report the cost of production and feed utilizationreports can be done quickly and accurately.
Implementasi Naive Bayes Classifier dalam Analisa Rekrutmen di PT. Mitra Pinasthika Mulia Ardian Teja; Silvia Rostianingsih; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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Abstract

PT. Mitra Pinasthika Mulia is a company engaged in the distribution of motorcycles, spare parts and accessories that require applications for applicant analysis or prediction. At present, PT. Mitra Pinasthika Mulia get applicants in several ways, namely from applicant's letter, website, job fair, and job street. There are many applicant data entered and that data is still manually selected. But this is not effective because it will require time and effort, therefore this application was made to help speed up the applicant selection process by providing predictive values to each applicant. The method used is one of the data mining methods, which is Naive Bayes Classifier. The Naive Bayes Classifier method is one method of classification or prediction with a model for calculating probabilities from a category that has existing attribute parameters, and determines which category is the most optimal. The attribute parameters used to measure applicants are age, gender, experience, education, language skills, identity, and applied position. The results of this study showed best f-score of 45,9% and an accuracy of 97,25% for predictions of acceptance, and best accuracy rate of 96,87% for predictions of work position.
Co-Authors Alexander Setiawan Alvin Nathaniel Tjondrowiguno Andre Gunawan Andreas Handojo Andreas William Anita Nathania Purbowo Ardian Teja Billy Faith Susanto Christian Purnama Christopher Nathanael Liunanda David Alfredo Wiejoyo Febry Suryanto Fendy Haryanto Hansen Ginno Samuel Tangkas Soetedjo Giovanni Gabriela Gunadi Hendyk Cendana Santoso Henry Novianus Palit Hilarius Andriano Sengyang Indra Setiawan Indro Setiawan Jessica Athalia Juan Felix Nyoto Santoso Justinus Andjarwirawan Kartika Gunadi Kevin Yosi Putra Utama Leo Willyanto Santoso Lily Puspa Dewi Michael Boentarman Michael Levi Michelle Florensia Prayudi Suseno Regina Valentina Resmana Lim Rolly Intan Satria Antoni Gunawan Stefanus Benhard Stefen Ongko Saputro Stephen Lukas Wijaya Susangto Andi Putera S. Tommy Sugiarto Yohanes Setiawan Yulia Yulia