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Fristi Riandari
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Journal : Jurnal Nasional Komputasi dan Teknologi Informasi

 1 
Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Keranjang Belanja Pada Transaksi Penjualan Pada PT Madu Kembang Joyo Nasib Ratna Sari Purba; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (419.205 KB) | DOI: 10.32672/jnkti.v4i1.2745

Abstract

In the sale of goods (products), companies often experience problems because of the irregular level of consumer spending. Determination of product layout is done to make it easier for consumers to find honey products so as not to disappoint consumers in finding the location of which products are suitable to be combined with other products that are often in demand by consumers, so that consumers can save time. Based on the problems faced by the company, data mining analysis tools are needed. Currently, the utilization of data that is owned is not fully maximized, it is limited to making reports. The problem of research is the accumulation of unused transaction data, the difficulty of placing products according to consumer needs. The absence of an effective product sales strategy. The application is built using the PHP programming language with the MySQL database. The data used for shopping cart analysis on the sales transaction of Joyo Flower Honey is 1 month transaction data. The combination of items with the highest support x confidence value will be used as a combination to determine the placement of the suitable item to be connected between the two products that consumers are most interested in. In addition, the combination of these items can be used by management to position the product on the shelf which will make it easier for consumers to find the product they need.
Sistem Pakar Mendiagnosa Penyakit Keputihan Pada Wanita Dengan Metode Teorema Bayes Christina Simanjuntak; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 2 (2021): April 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.142 KB) | DOI: 10.32672/jnkti.v4i2.2847

Abstract

Leucorrhoea is a discharge other than blood from the vaginal canal, if abnormal vaginal discharge is left untreated, as a result the infection can spread, enter the uterus, fallopian tubes, and can infect the ovaries. The application of an expert system in the health sector will greatly assist in survival someone. Expert systems can help diagnose a type of disease based on their own symptoms quickly and precisely. An expert system that is designed as a tool to diagnose the type of leucorrhoea, especially in women who experience vaginal discharge, but often they feel able to recognize themselves that they are suffering from vaginal discharge without feeling the need to go to a doctor for a more detailed examination, and only treat themselves with medication. Free-sale vaginal discharge medication. This expert system will display a selection of symptoms that can be selected by the user, then get the final result with the Bayes theorem method by providing a diagnosis result in the form of a probability value for the emergence of each type of disease and solution. Expert system applications are built on a web basis using HTML, PHP, CSS using the mysql database.
Sistem Pendukung Keputusan Pemberian Uang Pertanggungan Terhadap Claimer Asuransi Kesehatan Menggunakan Metode SAW Dedi Setiawan Halawa; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 5 (2021): Oktober 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.086 KB) | DOI: 10.32672/jnkti.v4i5.3429

Abstract

DSS can provide interactive tools that allow decision makers to perform various analyzes of the available models. There are several methods used in DSS and one of them is the Simple Additive Weighting (SAW) method. The criteria used in determining the sum insured are length of stay, accidents and medical expenses. The application system can only provide recommendations for the provision of sum assured for health insurance claims at PT. Jasindo Health Care. The formulation of the research problem is to apply the Simple Additive Weighting (SAW) method in determining the award of sum insured to health insurance claimers using the PHP programming language, database, mysql. The calculation results show that Alternative A1 has the highest V value, namely V1 = 100, so alternative A1 is the most entitled to receive the sum insured against health insurance claimers at Jasindo Health Care.
Perancangan Aplikasi Prediksi Jumlah Pendaftar Siswa Baru Dengan Metode Regresi Linier (Studi Kasus: SMA RK Deli Murni Bandar Baru) Novita Ria Lase; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 3 (2020): Desember 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.121 KB) | DOI: 10.32672/jnkti.v3i3.2520

Abstract

The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.
Sistem Pendukung Keputusan Pemberian Uang Pertanggungan Terhadap Claimer Asuransi Kesehatan Menggunakan Metode SAW Dedi Setiawan Halawa; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 5 (2021): Oktober 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i5.3429

Abstract

DSS can provide interactive tools that allow decision makers to perform various analyzes of the available models. There are several methods used in DSS and one of them is the Simple Additive Weighting (SAW) method. The criteria used in determining the sum insured are length of stay, accidents and medical expenses. The application system can only provide recommendations for the provision of sum assured for health insurance claims at PT. Jasindo Health Care. The formulation of the research problem is to apply the Simple Additive Weighting (SAW) method in determining the award of sum insured to health insurance claimers using the PHP programming language, database, mysql. The calculation results show that Alternative A1 has the highest V value, namely V1 = 100, so alternative A1 is the most entitled to receive the sum insured against health insurance claimers at Jasindo Health Care.
Perancangan Aplikasi Prediksi Jumlah Pendaftar Siswa Baru Dengan Metode Regresi Linier (Studi Kasus: SMA RK Deli Murni Bandar Baru) Novita Ria Lase; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 3 (2020): Desember 2020
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v3i3.2520

Abstract

The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.
Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Keranjang Belanja Pada Transaksi Penjualan Pada PT Madu Kembang Joyo Nasib Ratna Sari Purba; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2745

Abstract

In the sale of goods (products), companies often experience problems because of the irregular level of consumer spending. Determination of product layout is done to make it easier for consumers to find honey products so as not to disappoint consumers in finding the location of which products are suitable to be combined with other products that are often in demand by consumers, so that consumers can save time. Based on the problems faced by the company, data mining analysis tools are needed. Currently, the utilization of data that is owned is not fully maximized, it is limited to making reports. The problem of research is the accumulation of unused transaction data, the difficulty of placing products according to consumer needs. The absence of an effective product sales strategy. The application is built using the PHP programming language with the MySQL database. The data used for shopping cart analysis on the sales transaction of Joyo Flower Honey is 1 month transaction data. The combination of items with the highest support x confidence value will be used as a combination to determine the placement of the suitable item to be connected between the two products that consumers are most interested in. In addition, the combination of these items can be used by management to position the product on the shelf which will make it easier for consumers to find the product they need.
Sistem Pakar Mendiagnosa Penyakit Keputihan Pada Wanita Dengan Metode Teorema Bayes Christina Simanjuntak; Fristi Riandari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 2 (2021): April 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i2.2847

Abstract

Leucorrhoea is a discharge other than blood from the vaginal canal, if abnormal vaginal discharge is left untreated, as a result the infection can spread, enter the uterus, fallopian tubes, and can infect the ovaries. The application of an expert system in the health sector will greatly assist in survival someone. Expert systems can help diagnose a type of disease based on their own symptoms quickly and precisely. An expert system that is designed as a tool to diagnose the type of leucorrhoea, especially in women who experience vaginal discharge, but often they feel able to recognize themselves that they are suffering from vaginal discharge without feeling the need to go to a doctor for a more detailed examination, and only treat themselves with medication. Free-sale vaginal discharge medication. This expert system will display a selection of symptoms that can be selected by the user, then get the final result with the Bayes theorem method by providing a diagnosis result in the form of a probability value for the emergence of each type of disease and solution. Expert system applications are built on a web basis using HTML, PHP, CSS using the mysql database.
Co-Authors Christina Simanjuntak Dedi Setiawan Halawa Nasib Ratna Sari Purba Novita Ria Lase