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Design and Build Daily Android-Based Financial Applications Susi Susilowati; Abdul Rohmat Sigit
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.v3i2.46

Abstract

The rapid development of information and communication technology is directly proportional to the community's need for fast and accurate information, especially the development of technology on mobile phones (cellphones) that present smartphones with various sophisticated features. Smartphones are becoming a necessity for society today not only as a communication device, but also as a source of information. In general, the community carries out daily financial management in the traditional way by taking notes using a writing instrument, where the paper media as its documentation and the help of a calculating tool is a calculator to calculate financial income and expenditure. Constraints that occur are that the public needs stationery to do every recording of transactions that are carried out every day. So it requires quite a lot of money, the time required will take a long time to record financial transactions that are carried out every day by the process of writing on paper media, in addition to that the public is also often confused by financial records that are lost or damaged due to paper documents. This Mobile Based Daily Financial Registration Application aims to help its users in financial management using a mobile device, so that users can expect to be able to manage their finances optimally, both income and expenditure. As a result of the application, the public can enter the daily money in and daily money out data along with their information and then the data will be displayed on the front page of the application menu, in addition to the data that has been entered can also be edited and deleted as needed and accompanied by making features money entry data reports and money out data in the form of graphs and pdfs.
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
Design and Build Daily Android-Based Financial Applications Susi Susilowati; Abdul Rohmat Sigit
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 (890.075 KB) | DOI: 10.30645/ijistech.v3i2.46

Abstract

The rapid development of information and communication technology is directly proportional to the community's need for fast and accurate information, especially the development of technology on mobile phones (cellphones) that present smartphones with various sophisticated features. Smartphones are becoming a necessity for society today not only as a communication device, but also as a source of information. In general, the community carries out daily financial management in the traditional way by taking notes using a writing instrument, where the paper media as its documentation and the help of a calculating tool is a calculator to calculate financial income and expenditure. Constraints that occur are that the public needs stationery to do every recording of transactions that are carried out every day. So it requires quite a lot of money, the time required will take a long time to record financial transactions that are carried out every day by the process of writing on paper media, in addition to that the public is also often confused by financial records that are lost or damaged due to paper documents. This Mobile Based Daily Financial Registration Application aims to help its users in financial management using a mobile device, so that users can expect to be able to manage their finances optimally, both income and expenditure. As a result of the application, the public can enter the daily money in and daily money out data along with their information and then the data will be displayed on the front page of the application menu, in addition to the data that has been entered can also be edited and deleted as needed and accompanied by making features money entry data reports and money out data in the form of graphs and pdfs.
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.
Data Mining Menentukan Cluster Penerima Program Bantuan dengan Metode K-Means Ririn Restu Aria Aria; Susi Susilowati; Indra Riyana Rahadjeng
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 7 No. 1 (2023): Volume 7 Nomor 1 Januari 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v7i1.12030

Abstract

Dampak pandemi Covid-19 yang telah berlangsung dari tahun 2019 masih dialami oleh masyarakat hingga saat ini membuat mereka mengalami kesulitan dalam bidang perekonomian dan lapangan kerja. Untuk meringankan beban penduduk, Pemerintah saat ini memberikan bantuan kepada penduduk yang termasuk kedalam kriteria yang berhak menerima bantuan pangan Non Tunai (BNPT) dan program keluarga harapan (PKH). Bantuan saat ini sudah disalurkan dari pemerintah pusat kepada masayarakat melalui pemerintah daerah di provinsi masing – masing. Penelitian ini dilakukan berdasarkan data yang diperoleh dari website BPS dan peneliti menggunakan data mining untuk melakukan cluster data dengan metode K-Means dan pengolahan data juga dilakukan dengan aplikasi Rapid Miner. Dalam data mining, data yang dimiliki saat penelitian dilakukan pengklasifikasian data, membuat prediksi serta memperkirakan untuk mendapatkan informasi yang bermanfaat dari kumpulan data yang akan diolah. Pengelompokan dilakukan berdasarkan 34 provinsi di Indonesia dengan menentukan nilai centroid awal di provinsi Bengkulu dan Provinsi Jawa Barat. Berdasarkan perhitungan yang dilakukan dengan algoritma K-means dapat dikelompokkan menjadi 2 cluster yaitu cluster rendah dan clustser tinggi. Perhitungan menghasilkan 14 provinsi cluster rendah dan 20 provinsi cluster tinggi. Berdasarkan penelitian yang telah dilakukan diharapkan dapat membantu pemerintah daerah untuk menentukan jenis bantuan apa yang akan diberikan kepada masyarakat di provinsi masing – masing sehingga sesuai dengan kebutuhan mereka