Wulla Rato, Karolus
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Journal : JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING

RANCANG BANGUN SISTEM INFORMASI RAWAT JALAN PUSKESMAS WEEKOMBAK BERBASIS WEB Tamo Ina, Maria; Umbu Janga, Adelbertus; Wulla Rato, Karolus
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol. 7 No. 2 (2024): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jesce.v7i2.10523

Abstract

Information systems are created to make it easier to process and store data so that it will produce precise and accurate information. The Puskesmas Outpatient Information System is a structure that provides information to assist the decision-making process in implementing Puskesmas management in achieving its activity targets. Puskesmas as a health service requires computers as a tool for processing and presenting information. Puskesmas, which provides health services to the community on a daily basis, is a health agency sector that is growing rapidly as the population increases. A website is a system for accessing information on the internet. A website is a system for accessing information on the internet. Weekombak Community Health Center is an agency that operates in the health sector, namely providing patient care and treatment. In carrying out data processing services at the Weekombak Community Health Center, manual recording is still used, that is, all data is recorded in a book or archive. So services at Community Health Centers become ineffective and inefficient because bookkeeping media slows down the patient service process. Therefore, there is a need for a system that can provide solutions to problems that can currently be resolved.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA APRIORI DALAM MEMPREDIKSI PENJUALAN KAIN TENUN SUMBA Bulu, Elfrida; Kopong Pati , Gergorius; Wulla Rato, Karolus
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol. 7 No. 2 (2024): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jesce.v7i2.10552

Abstract

Weaving is one of Indonesia's traditional fabric arts and culture which is produced in various regions throughout the archipelago (NTT, Kalimantan, Bali, Sulawesi, Lombok, Sumbawa, and others). Sumba woven fabric is a collection of activities that can define the work carried out by a system and change input into output that has added value for the user. Currently sales are only around Sumba Island. Meanwhile, the sales process is carried out by buyers coming directly to the shop, apart from that, woven fabrics are also sold in local markets and at cultural exhibitions. Therefore, an a priori algorithm approach was taken in association analysis to find candidate frequency itemsets to increase sales. Based on the sales results of woven fabric products in the kalaki kambe weaving group, the ones that sell the most can be found using an a priori algorithm, namely by looking at products that meet a minimum support of 2.4% and a minimum confidence of 50%. The most sold products are sarongs, wewewa woven fabric and loura woven fabric with the results obtained that sarongs, wewewa woven fabric and loura woven fabric with a support value of 0.300 or 30% and a trust value of 0.750 or 75%.