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All Journal JURNAL INFORMATIKA
Henny Hamsinar
Universitas Dayanu Ikhsanuddin Baubau
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Other

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RANCANG BANGUN WEBSITE DEWAN KERAJINAN NASIONAL (DEKRANAS) DAERAH KOTA BAUBAU SEBAGAI MEDIA INFORMASI DAN PROMOSI SOUVENIR KERAJINAN KHAS BUTON Hamsinar, Henny; Setiawan H., Teguh; Pasrahmaya, Wa Ode Halmia
JURNAL INFORMATIKA Vol 7, No 2 (2018): Jurnal Informatika
Publisher : Prodi Teknik Informatika Unidayan Baubau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.566 KB)

Abstract

National Crafts Council Baubau City (Dekranas) is one of the organizations under the auspices of the Department of Industry and Trade. The Department of Industry and Trade supports the smooth operation of the regional level Dekranas activities that function in assisting and as a government partner in fostering and developing regional handicraft products. The results of handicrafts that are in the Baubau City Dekranas showroom do not have applications that manage data in full such as the name of the goods, the origin of manufacture, craftsman data as well as information for marketing handicraft products. This study aims to design and create a website for the Baubau City Regionalran National Conference as a media for information and promotion of typical Buton craft souvenirs to make it easier to promote and sell the products of typical Balinese handicraft UKM through the Baubau Regional Regionalranean National Conference. The data collection method used is observation and interview with the management of the City of Baubau Dekranas. The results of this study are by utilizing the website created, the Baubau City Decranas can expand the marketing network, promote and sell souvenirs produced by Buton handicrafts produced by UKMs of the Baubau City community so that they can be known by the public both domestically and abroad.Keywords: Dekranas, Souvenirs, Website.
PENERAPAN METODE BACKWARD CHAINING PADA SISTEM PAKAR UNTUK MENDETEKSI PENYAKIT TANAMAN JAGUNG Hamsinar, Henny; Musadat, Fithriah; Rahayu, Rahayu
JURNAL INFORMATIKA Vol 8, No 1 (2019): JURNAL INFORMATIKA
Publisher : Prodi Teknik Informatika Unidayan Baubau

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Abstract

Corn plant disease is one of the obstacles to success in cultivating corn in Ngkari-ngkari Village. Farmers do not yet fully know how to deal with the symptoms of corn plant disease. This study aims to create an expert system application to detect maize plant diseases, to determine the type of disease and the solution used is the backward chaining method approach starting from the Goal then looking for facts that match the premise data. This research resulted in an application that can help users to detect symptoms of corn plant diseases and provide prevention or control solutions if there are corn farmers that are detected by disease symptoms.Keyword: Backward Chaining, Expert system, Corn plant
PENERAPAN DATA MINING DENGAN METODE SINGLE MOVING AVERAGE UNTUK MENENTUKAN JUMLAH PENJUALAN OBAT Sultan Hady; Henny Hamsinar; Reka Putri Hardiyanti
JURNAL INFORMATIKA Vol 11, No 2 (2022): Jurnal informatika
Publisher : Prodi Teknik Informatika Unidayan Baubau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55340/jiu.v11i2.1051

Abstract

Anita Farma 2 Pharmacy is one of the private pharmacies in the city of Baubau which still implements a manual system for drug sales management and has not implemented a method to predict future drug sales. So that there are various kinds of drugs that experience excess stock and some drugs experience stock shortages. The purpose of this study is to make it easier to predict future drug stock requirements at Anita Farma 2 Pharmacy using the application of data mining with the web-based Single Moving Average method. The method used in this study is the Single Moving Average (SMA) method which is a technique for calculating the average of a number from the latest actual value, updated as new values become available, carried out to forecast the following periods using the method Mean Absolute Percentage Error (MAPE) to calculate the accuracy of predictions on the Single Moving Average method. The results of the research system used the Single Moving Average method, namely period 2 (M2) of 23.25%, period 3 (M3) of 26.23% and period 4 (M4) of 28.22% using 5 drug samples with sales for 5 years from January 2017 to December 2021 Among the 3 periods of drug sales forecasting tested using manual calculations with MAPE it can be concluded that period (M2) is better than periods M3 and M4 with a percentage of MAPE "Good Forecasting" of 16.67% and the smallest error rate of 23.25 %.
MODEL SINGLE EXPONENTIAL SMOOTHING UNTUK MEMPREDIKSI JUMLAH PESERTA DIDIK BARU DI SMPN 1 BATAUGA Henny Hamsinar; Fithriah Musadat; Hasmiati Ibrahim
JURNAL INFORMATIKA Vol 11, No 2 (2022): Jurnal informatika
Publisher : Prodi Teknik Informatika Unidayan Baubau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55340/jiu.v11i2.995

Abstract

Acceptance of new students, known as Penerimaan Peserta Didik Baru (PPDB), is an annual education unit agenda. Predicting the number of new students is needed in school management planning activities. This study aims to predict the number of new students at SMPN 1 Batauga in 2022. The data used is data from the last 5 years. 2017 to 2021. The Single Exponential Smoothing method is used to make predictions using parameters α=0.1 to α=0.9. From the prediction results, it is obtained that the alpha value has the smallest error value, namely alpha=0.9 and MAPE of 20%. So that the number of students at SMPN 1 Batauga in 2022 is 114 people.
Co-Authors Fithriah Musadat Hasmiati Ibrahim Musadat, Fithriah Pasrahmaya, Wa Ode Halmia Rahayu Rahayu Reka Putri Hardiyanti Setiawan H., Teguh Sultan Hady