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All Journal Journal of Technopreneurship and Information System (JTIS) TEKNOSIA Jurnal Garuda Pengabdian Kepada Masyarakat
Reno Supardi
Universitas Dehasen
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Social Sciences Transportation Other

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PENERAPAN METODE REGRESI LINEAR DALAM MEMPREDIKSI DATA PENJUALAN BARANG DI TOKO BANGUNAN VITA VIYA Reno Supardi
JTIS: Journal of Technopreneurship and Information System Vol. 3 No. 1 (2020): Journal Techoprenership and Information System
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v3i1.629

Abstract

Abstract- Vita Viya lumberyard is one of the lumberyard is located on Semangka Street, Bengkulu city. During this time the processing sales data of goods in lumberyard is still done conventionally, namely using sales notes that occur every day. Then, the note data will be made into bookkeeping to find out how many sales of goods occur every month. Management of inventory also only sees the remaining items available in the lumberyard without looking at the sales of the item. The problem that often occurs in Vita Viya lumberyard is the management of inventory, where the building materials have a usage period so that they are not suitable for sale. The application in predicting sales data of goods in Vita Viya lumberyard was made by using the Visual Basic.Net programming language by applying the linear regression method. With the construction of the application can be used as an alternative in predicting the sales data of goods in the following month based on sales data that occurred in the last 2 years starting from January 2017 to December 2018. The 2-year data will be used as a data trend to determine the predicted value of goods sold at 1 year in the future. Based on the testing that has been done, it can be concluded that the application is able to predict the sale of goods for the next 1 year based on sales data that has been inputted previously. Based on the testing of error values using the MAPE and MSE methods, it was found that the error value of the predicted value obtained from the linear regression method used the MAPE method of 0.1244575. While, the result by using the MSE method of 14.25. Keywords: Linear Regression Method, Prediction of Vita Viya lumberyard.
PERANCANGAN APLIKASI DATA IKLIM-71 DI STASIUN KLIMATOLOGI KLAS I PULAU BAAI – BENGKULU Reno Supardi
Teknosia Vol. 15 No. 1 (2021): Juni 2021
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v1i1.15407

Abstract

Climatology Station Class I PulauBaai Bengkulu under the auspices of the Meteorology, Climatology and Geophysics which produce so many daily weather data are not computerized well. By this author wants to help the staff to facilitate the observation of the results of the data contained in Baai Island Climatology Station Bengkulu. Based on these reasons make the authors develop a design data applications FKlim-71 computerized to help resolve some of the problems that often occur. In making this application there are some required data is data such as temperature, rainfall data, the data of solar radiation, a special weather event data, the air pressure data, the data humidity, and wind data.Application design is intended for Climatology Station Class I Baai Island Bengkulu because there making this application done. This application uses Microsoft Visual Basic programming language and MySQL as the database.The test proved that the application program database applications Fklim-71 can facilitate the performance of observer Climatology Station Class I PulauBaai Bengkulu.
PERBANDINGAN METODE PREFERENCE SELECTION INDEX (PSI) DENGAN METODE SIMPLE ADDITIVE WEIGHT (SAW) PADA PEMILIHAN MANDOR TERBAIK PADA PT AGRO MUKO Nurul Husna; Reno Supardi; Yupianti Yupianti
Teknosia Vol. 15 No. 2 (2021): Desember 2021
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v15i2.18574

Abstract

PT.Agro Muko is a Foreign Investment Company engaged in oil palm and rubber plantations. Administratively, PT. Agro Muko is located in several sub-districts, namely North Mukomuko District, South Mukomuko District, Lubuk Pinang District, Teras Terunjam District, Pondok Suguh District, V Koto District, Penarik District, Selagan Jaya District, Air Dikit District and Teramang Jaya District, Bengkulu Regency. north.For this reason, the author tries to build an application that compares the preference selection index (psi) method with the simple additive weight (saw) method on the selection of the best foreman using the Preference Selection Index (PSI) method using Visual Basic Net, in order to facilitate PT Agro muko in selecting best employee every year
Dampak Positif dan Negatif Pembelajaran Online Terhadap Siswa SMA Masa Pandemi Sapri; Reno Supardi; Dian Mardiati Sari; Rizka Tri Alinse; Annisa Putri Pratiwi
Jurnal Garuda Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): Maret 2023
Publisher : Ali Institute of Research and Publication

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Abstract

Dalam pembelajaran online ini banyak terdapat kendala terutama pada tugas yang terlalu banyak dan tidak sesuai dengan materi secara maksimal sehingga siswa mengalami kesulitan dan akhirnya stres. Hal ini banyak dialami oleh siswa yang sudah terlihat bosan dengan situasi pandemi ini, selain kebosanan, banyak siswa yang mengalami kesulitan saat belajar, gangguan jiwa juga akan mempengaruhi kondisi siswa untuk lebih peka terhadap lingkungan kesehariannya. Suasana ketika anak terlihat bosan atau bosan dalam melaksanakan pembelajaran online tentunya membutuhkan dukungan dari orang tua dan keluarga karena untuk menstabilkan kondisi siswa maka suasana di rumah harus lebih kondusif saat pembelajaran online berlangsung. Pembelajaran online memiliki dampak positif dan negatif.
Co-Authors Annisa Putri Pratiwi Dian Mardiati Sari Nurul Husna Rizka Tri Alinse Sapri yupianti yupianti