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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH 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)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/gabdimas.v1i1.107

Abstract

In this online learning there are many obstacles, especially on assignments that are too many and do not match the material optimally so that students experience difficulties and end up stressed. This is experienced by many students who already look bored with this pandemic situation, in addition to boredom, many students have difficulty while studying, mental disorders will also affect the condition of students to be more sensitive to their daily environment. The atmosphere when children look bored or bored in carrying out online learning of course requires support from parents and families because to stabilize the condition of students, the atmosphere at home must be more conducive when online learning takes place. Online learning has both positive and negative impacts.
SISTEM PENDUKUNG KEPUTUSAN KEPUASAN SISWA TERHADAP PROSES PEMBELAJARAN DI SMKS 2 SEMARAK DENGAN METODE (SAW) Abradika Abradika; Reno Supardi; Deri Lianda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2595

Abstract

Abstrak: Penelitian ini dilatarbelakangi oleh sekolah yang belum mengetahui secara pasti seberapa besar tingkat kepuasan siswa terhadap layanan pembelajaran dan sarana belajar di SMKS 2 Kota Bengkulu. Dengan tujuan dari penelitian ini untuk mengetahui besarnya tingkat kepuasan siswa terhadap layanan pembelajaran dan sarana belajar pada SMKS 2 Kota Bengkulu.Metode penelitian ini menggunakan metode penelitian deskreptif kualitatif dengan model survey. Dari hasil penelitian menunjukkan kepuasan siswa terhadap layanan pembelajaran sangat puas. Kemudian dengan  kesimpulan dari penelitian ini bahwa tingkatkepuasan siswa terhadap layanan pembelajaran berada pada tingkat tinggi, dan tingkat kepuasan siswa terhadap sarana belajar berada pada tingkat tinggi dengan prosentase 90%. Kata kunci: Kepuasan, Layanan Pembelajaran, Sarana Belajar
SISTEM PENDUKUNG KEPUTUSAN PRIORITAS DARI PARTISIPATIF MASYARAKAT DALAM PERENCANAAN PEMBANGUNAN DI PROVINSI BENGKULU Endrix Dialyu; Reno Supardi; Prahasti Prahasti
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2596

Abstract

Abstrak: Pro Agar mempermudah dalam proses penentuan keputusan terkait penentuan prioritas pembangunan infrastruktur Bengkulu, maka dibuatlah sebuah program sistem pedukung keputusan. Sistem pendukung keputusan merupakan sistem yang berguna dalam membantu user dalam menentukan sebuah keputusan dengan proses yang sistematis. Sistem pendukung keputusan biasanya digunakan untuk menentukan suatu hal yang memiliki nilai kriteria yang dimana semakin banyak kriteria yang dipilih semakin besar kemungkinan sistem akan memilih objek tersebut. Dalam penyelesaian masalah terkait penentuan prioritas pembangunan, metode yang digunakan adalah meotde echnique for Order Preference by Similarity to Ideal Solution (TOPSIS), yang berdasarkan multikriteria dengan ide dasarnya alternatif yang dipilih memiliki jarak terdekat dengan solusi ideal positif dan memiliki jarak terjauh dari solusi ideal negatif. Kata Kunci : SPK Prioritas pembangunan metode Topsis
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN TINGKAT KEBERHASILAN GURU DI SMK NEGERI 3 LAHAT MENGGUNAKAN METODE WASPAS Ryon Yoga Ambara; Reno Supardi; Deri Lianda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2599

Abstract

Abstrak: Pada SMK Negeri 3 Lahat tersebut tingkat keberhasilan guru lihat dari hasil penilaian kinerja guru, dimana menurut Peraturan Menteri Negara Pendayagunaan Aparatur Negara dan Reformasi Birokrasi Nomor 16 Tahun 2009 penilaian kinerja guru adalah penilaian yang dilakukan terhadap setiap butir kegiatan tugas utama guru dalam rangka pembinaan karir, kepangkatan, dan jabatannya. Adapun kompetensi kinerja guru terkait dengan keberhasilan guru dilihat dari pedagogik, kepribadian, sosial dan profesional. Namun dalam proses penilaian tersebut, masih dilakukan secara manual sehingga sering terjadi kesalahan dalam memberikan hasil akhir dalam mengetahui keberhasilan guru dan juga membutuhkan waktu yang lama. Sistem pendukung keputusan dalam menentukan tingkat keberhasilan guru di SMK Negeri 3 Lahat menggunakan Metode WASPAS dapat membantu mengolah data guru serta memberikan informasi dan memberikan output informasi dari hasil pengolahan data serta dapat membantu dalam pengambilan keputusan untuk menentukan tingkat keberhasilan guru berdasarkan hasil olah data melalui Metode WASPAS. Dalam proses pengambilan keputusan, pada sistem pendukung keputusan ini telah diterapkan Metode WASPAS, sehingga hasil akhir yang diperoleh akan diurutkan berdasarkan ranking dari nilai tertinggi hingga nilai terendah. Berdasarkan data penilaian yang digunakan sebanyak 15 orang guru, maka diperoleh hasil rekomendasi tingkat keberhasilan guru adalah pertama mendapat alternatif ke 1 atas nama Nira Nopriani merupakan guru yang tingkat keberhasilan tertinggi dengan nilai WASPAS 0,953 disusul dengan rekomendasi ke 2 atas nama Nia Oktaria dengan nilai WASPAS 0,936, dan rekomendasi yang ke 3 atas nama Didi Firmansyah dengan nilai WASPAS 0,913. 
Co-Authors Abradika Abradika Annisa Putri Pratiwi Dian Mardiati Sari Endrix Dialyu Lianda, Deri Nurul Husna Prahasti Prahasti Rizka Tri Alinse Ryon Yoga Ambara Sapri yupianti yupianti