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Penerapan Composite Performance Index (CPI) Sebagai Metode Pada Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Budy Satria; Acihmah Sidauruk; Raditya Wardhana; Abdussalam Al Akbar; M. Arinal Ihsan
Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): Indonesian Journal of Computer Science Volume 11. No. 2 (2022)
Publisher : STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3056

Abstract

The selection process for scholarship recipients in higher education requires a measurable system. The problem that has been happening is that the procedures carried out by the scholarship provider still use a manual file examination system. Composite performance index is the method used in this study. The purpose of this study is to create a decision support system for the selection of scholarship recipients to be more systematic and time efficient in the process. There are 10 alternatives and 4 criteria, namely parental income, GPA, electricity usage ,and semesters. The results of this study were obtained 5 highest values are A7 t with a value of 235.00 rank 1, A4 with a value of 200.00 rank 2, A1 with a value of 134.14 rank 3 sequences, A5 with a value of 120.00 ranks 4, and A8 with a value of 91.67 sequences 5.
THE DECISION MAKING METHOD FOR AWARDING SCHOLARSHIPS TO STUDENTS USING COMPOSITE PERFORMANCE INDEX ALGORITHM Budy Satria; Acihmah Sidauruk; Muhammad Tofa Nurcholis; Raditya Wardhana; Bister Purba
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 8 No 2 (2023): JITK Issue February 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.268 KB) | DOI: 10.33480/jitk.v8i2.3335

Abstract

Higher education in Indonesia has several programs to help reduce the burden on students, one of which is through a scholarship program. Scholarships given can be obtained with the terms and conditions that apply at each university. Mitra Gama Institute of Technology is one of the private universities in the province of Riau which always runs a scholarship aid program. The problem that has been happening so far is that the procedures carried out are still using a document checking system without involving a weighting system and the right criteria and time constraints have always been an obstacle in determining scholarship recipients. This research was conducted as a solution to create an innovation in the form of making a computerized decision support system using criteria and weight values ​​so that scholarship recipients are on target. Composite performance index is the method used in this study. The purpose of this research is to create a decision support system for the selection of scholarship recipients to be more systematic and time efficient in the process. There are 5 alternatives used and 4 criteria, namely parents' income, GPA, electricity consumption and semester. The results of the research carried out were obtained the 5 highest composite index values, namely MHS4 with a value of 200.00, MHS1 with a value of 134.14, MHS5 with a value of 120.00, MHS3 with a value of 87.00 and MHS2 with a value of 85.71.
RAINFALL PREDICTION USING MULTIPLE LINEAR REGRESSION ALGORITHM Mulia Sulistiyono; Acihmah Sidauruk; Budy Satria; Raditya Wardhana
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 9 No 1 (2023): JITK Issue August 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i1.4203

Abstract

Indonesia is a tropical region with ever-changing weather changes. It is necessary to conduct a research on weather prediction as a decision making regarding weather information that will occur in the future. Rainfall is one of the factors that cause changes in weather in an area. This research was conducted on the climate in the Yogyakarta region in the form of mountains and lowlands causing differences in rainfall. The variables that are used to make predictions are several parameters that affect rainfall, namely temperature, humidity, wind speed and duration of solar radiation. These 5 variables are processed through the data obtained then carried out research and comparisons with the previous data. Multiple linear regression is the algorithm used. This algorithm is one of the machine learning techniques by making rainfall data as the dependent variable and other parameters as independent variables. This study uses Yogyakarta City, Central Java climate data for 2010-2020. The results obtained are an R2 score of 12.99%. Prediction of rainfall is obtained at 14.41778516. Then the RMSE evaluation resulted in a deviation between predicted rainfall and actual rainfall of 14.78316110508722. Based on these results, it shows that there is light rain because it is in the intensity category of 5 mm – 20 mm/day.
PELATIHAN COPYWRITING DAN PENGELOLAAN SOSIAL MEDIA PADA HOME INDUSTRI KERAJINAN PERAK KOTAGEDE Rizqi Sukma Kharisma; Kartika Sari Yudaninggar; Raditya Wardhana; Popi Andiyansari; Krisna Aditya Pratama; Rizka Nanda Salsabila; Salma Khoirun Nisaa; Satya Tegar Kusuma; Atha Sulthan Syaukani Lazuardi
Jurnal Abdi Insani Vol 10 No 3 (2023): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v10i3.1114

Abstract

Kotagede silver crafts are a cultural heritage that has existed since the 17th century. Based on Yogyakarta City Regional Regulation Number 3 of 2015 concerning the Yogyakarta City Tourism Development Master Plan for 2015-2025, Kotagede is one of the regional tourism strategic areas. However, on the other hand, the number of silversmiths in Kotagede is decreasing. This is due to sales competition with imported casting products. So many craftsmen have switched professions to other sectors. This service activity was held to increase silversmiths' competitiveness in selling through social media. This service activity allows silversmiths to independently plan and create social media content for online marketing needs. Community service in copywriting training and social media management in the Kotagede silver craft home industry aims to enable partners to optimize their social media for online marketing needs. This event was held at the Grand Rohan Hotel, Bantul, DIY, on July 15, 2023. It was attended by community service partner participants, namely Haseena Jewelry, which focuses on marketing jewelry and silver craft products. This training presents resource persons from social media marketing practitioners. This training includes a greater understanding of creating engaging copywriting and social media management. The training results showed increased knowledge, as evidenced by the pretest and posttest scores. The average pretest score was 27.7, while the average posttest score was 77.3. This indicates that the participants' understanding before and after the training increased. In addition, the participants could plan and create social media content according to the intended segmentation. Participants can demonstrate a deeper understanding of copywriting and managing social media.