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All Journal Jurnal Teknik Komputer AMIK BSI J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) IJISTECH J-SAKTI (Jurnal Sains Komputer dan Informatika)
Ririn Restu Aria
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Social Sciences

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 1 
K-Means to Determine the e-commerce Sales Model in Indonesia Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.47

Abstract

Sales of e-commerce in Indonesia are currently experiencing a pretty good increase by starting to switch sales that are done traditionally or offline to online sales using the use of internet media to facilitate trade transactions between sellers and buyers can be done anywhere and anytime. In this study using the K-means clustering method algorithm. The data source used in this study is based on sales using e-commerce based on provinces in Indonesia in 2018. The criteria used in the calculation are divided into 3 clusters, namely seller, reseller and dropship. Centroid data for cluster 1 = 68.30,33,58,4.95 namely Aceh, Riau, West Kalimantan, East Kalimantan, and Maluku. Centroid data for cluster 2 = 78.58,22,25.4,22 i.e. North Sumatra, West Sumatra, Jambi, Bangka Belitung Islands, D.K.I Jakarta, Central Java, East Java, Banten, Bali, Central Kalimantan, South Kalimantan, South Sulawesi and Papua  and Centroid data for cluster 3 = 86.36,13.34,4.38 namely South Sumatra, Bengkulu, Lampung, Riau Islands, West Java, D.I Jogyakarta, West Nusa Tenggara, East Nusa Tenggara, North Kalimantan, Central Sulawesi, Gorontalo, West Sulawesi, North Maluku and West Papua.
Analisa Data Penjualan SaRa Collection menggunakan metode Apriori Ririn Restu Aria; Susi Susilowati
JURNAL TEKNIK KOMPUTER Vol 7, No 1 (2021): JTK-Periode Januari 2021
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (51.712 KB) | DOI: 10.31294/jtk.v7i1.9412

Abstract

Sales are one of the most important things in the SaRa collection. To increase the number of existing sales, SaRa collection must be able to see the opportunities and needs needed by its customers. For this reason, when the Covid 19 pandemic is happening now, the SaRa collection has made a connector that can be used to beautify the use of masks to prevent transmission of the Covid 19 virus. In the process of making the connector, it is still done homemade according to the model that consumers are interested in because it takes time to process and select the model. as well as the appropriate color. Currently, sales are still being recorded manually, so the owner is still having trouble providing a stock of the connector model and color that will be made in order to meet consumer demand. In order to find out what models must be provided, accurate calculations are needed, for that the author uses the a priori algorithm as a method which is expected to be taken into consideration in marketing and sales strategies as well as connecting stock data to be made. A priori calculations with itemset and associations based on sales transaction data in Sara's collection
Penerapan Metode Waterfall Dalam Sistem Informasi Pembuatan Surat Rekomendasi BPJS Kelas III Ririn Restu Aria; Annisa Nur Rosdiana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (964.125 KB) | DOI: 10.30645/j-sakti.v3i2.153

Abstract

BPJS health is a social security organizer that organizes health insurance for the community. One of the most important activities is the preparation of a BPJS recommendation letter for class three which is managed by the Bogor City Social Service. To make a recommendation letter, the applicant must submit the letter to the service department and must be approved in advance by the head of the social service office. so that letter-writing services can run quickly and effectively, applications must be made available that make it easy for the head of the office to see and approve the existing application letter. In this study the method used is the waterfall so that it can understand the overall problem and produce applications that suit the needs of users. The purpose of this study is to provide convenience for the applicant, the service department and the head of the office in the process of submitting a BPJS recommendation letter and approval made in the proposed recommendation letter.
Penerapan Metode Waterfall Dalam Sistem Informasi Pembuatan Surat Rekomendasi BPJS Kelas III Ririn Restu Aria; Annisa Nur Rosdiana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (964.125 KB) | DOI: 10.30645/j-sakti.v3i2.153

Abstract

BPJS health is a social security organizer that organizes health insurance for the community. One of the most important activities is the preparation of a BPJS recommendation letter for class three which is managed by the Bogor City Social Service. To make a recommendation letter, the applicant must submit the letter to the service department and must be approved in advance by the head of the social service office. so that letter-writing services can run quickly and effectively, applications must be made available that make it easy for the head of the office to see and approve the existing application letter. In this study the method used is the waterfall so that it can understand the overall problem and produce applications that suit the needs of users. The purpose of this study is to provide convenience for the applicant, the service department and the head of the office in the process of submitting a BPJS recommendation letter and approval made in the proposed recommendation letter.
K-Means to Determine the e-commerce Sales Model in Indonesia Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (912.442 KB) | DOI: 10.30645/ijistech.v3i2.47

Abstract

Sales of e-commerce in Indonesia are currently experiencing a pretty good increase by starting to switch sales that are done traditionally or offline to online sales using the use of internet media to facilitate trade transactions between sellers and buyers can be done anywhere and anytime. In this study using the K-means clustering method algorithm. The data source used in this study is based on sales using e-commerce based on provinces in Indonesia in 2018. The criteria used in the calculation are divided into 3 clusters, namely seller, reseller and dropship. Centroid data for cluster 1 = 68.30,33,58,4.95 namely Aceh, Riau, West Kalimantan, East Kalimantan, and Maluku. Centroid data for cluster 2 = 78.58,22,25.4,22 i.e. North Sumatra, West Sumatra, Jambi, Bangka Belitung Islands, D.K.I Jakarta, Central Java, East Java, Banten, Bali, Central Kalimantan, South Kalimantan, South Sulawesi and Papua  and Centroid data for cluster 3 = 86.36,13.34,4.38 namely South Sumatra, Bengkulu, Lampung, Riau Islands, West Java, D.I Jogyakarta, West Nusa Tenggara, East Nusa Tenggara, North Kalimantan, Central Sulawesi, Gorontalo, West Sulawesi, North Maluku and West Papua.
Application of Economic Order Quantity and Reorder Point Methods in Improving the Efficiency of Coffee Raw Material Supply (Case Study At PT. Herbal Salam) Susi Susilowati; Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.742 KB) | DOI: 10.30645/ijistech.v6i1.213

Abstract

The food industry sector is currently getting tighter competition, especially in the form of food in the form of herbal drinks in the form of powders and liquids. That way it is necessary to control the supply of the right raw materials for the smooth production process. The purpose of this study is to find out and analyze the control of coffee raw material supplies applied by PT. Herbal Salam. So that it can improve the efficiency of raw material supply and can improve the performance of raw material management at PT. Herbal Salam.  The research methods used are the EOQ and ROP methods. Research results show that the company's raw material inventory has not been optimal and has not shown a minimum inventory cost. Based on analysis and policy calculations the company produces a total inventory of 72.000 per Kg in a year with an average purchase of 30 times a year, while the Economic Order Quantity (EOQ) method produces a total inventory of 5.280 per kg in a year with an average purchase of at least 14 times a year. This indicates that the EOQ method is smaller or there are savings of more than 50% compared to the company's policies.
Application of Economic Order Quantity and Reorder Point Methods in Improving the Efficiency of Coffee Raw Material Supply (Case Study At PT. Herbal Salam) Susi Susilowati; Ririn Restu Aria
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i1.213

Abstract

The food industry sector is currently getting tighter competition, especially in the form of food in the form of herbal drinks in the form of powders and liquids. That way it is necessary to control the supply of the right raw materials for the smooth production process. The purpose of this study is to find out and analyze the control of coffee raw material supplies applied by PT. Herbal Salam. So that it can improve the efficiency of raw material supply and can improve the performance of raw material management at PT. Herbal Salam.  The research methods used are the EOQ and ROP methods. Research results show that the company's raw material inventory has not been optimal and has not shown a minimum inventory cost. Based on analysis and policy calculations the company produces a total inventory of 72.000 per Kg in a year with an average purchase of 30 times a year, while the Economic Order Quantity (EOQ) method produces a total inventory of 5.280 per kg in a year with an average purchase of at least 14 times a year. This indicates that the EOQ method is smaller or there are savings of more than 50% compared to the company's policies.
Co-Authors Annisa Nur Rosdiana Susi Susilowati