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JURIKOM (Jurnal Riset Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 2407389X     EISSN : 27157393     DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 65 Documents
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Search results for , issue "Vol 9, No 6 (2022): Desember 2022" : 65 Documents clear
Sistem Pengambilan Keputusan Pemberian Kredit Pemilikan Rumah Menerapkan WASPAS Sitti Nur Alam
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5240

Abstract

Decision Support System (DSS) is an interactive information system that provides information, models and manipulates information, or helps someone make accurate and targeted decisions. So a decision support system is needed to determine the eligibility of customers to take home equity loans (HPR). In this study, the Comprehensive Assessment Method or WASPAS is used to determine the eligibility of prospective mortgage holders. Several criteria are used to make decisions, including age, income, debt, occupation, and credit rating.
Evaluasi Pengalaman Pengguna Aplikasi SIMARIS UPN “Veteran” Jawa Timur Menggunakan Metode UEQ Anisa Rahma Salsabila; Tri Lathif Mardi Suryanto; Eristya Maya Safitri
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5068

Abstract

The implementation of information and communication technology in a university is increasing according to the needs of each university. Research and community service activity carried out by lecturers at UPN "Veteran" East Java have been accommodated by an application called SIMARIS. In its implementation, this application still has several complaints related to the user experience felt by lecturers, such as difficulties when viewing proposal details, limitations for uploading files, no preview feature to view files, and the reviewer assessment menu doesn’t work for lecturers. In this study, the user experience of SIMARIS application was evaluated using the User Experience Questionnaire (UEQ) method. The questionnaire data obtained will be analyzed using UEQ Data Analysis Tool. The measurement results show that each scale has a high mean value with the scale of Attractiveness 1.61, Perspicuity 1.52, Efficiency 1.64, Dependability 1.44, Stimulation 1.51, and Novelty 1.25. The consistency level of all scales shows that Cronbach's Alpha value > 0.70. This means a high level of consistency is owned by all scales.
Grey Forecasting Model Untuk Peramalan Harga Ikan Budidaya Muhammad Shodiq; Bagus Dwi Saputra
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5120

Abstract

Price is an important factor to consider because it determines the profit or loss from selling a product. The difficulty of controlling the volatility of fish prices is related to many factors, including stock availability, natural factors, and the level of demand. One way to solve the problem of fish price volatility is to predict fish prices in the future. The purpose of this study is to apply the gray forecasting method to forecasting fish prices, especially in the aquaculture industry. Gray forecasting is a method for creating forecasting models with a small amount of data that provides accurate forecasts. This study uses daily data on prices of Tilapia fish for the period of June 2022 for analysis of gray forecasting calculations. The results show that gray forecasting provides very accurate predictions with aa mafe value of 2.39% of the price of Tilapia fish
Identifikasi Kematangan Buah Menggunakan Metode Gray Level Co-occurence Matrix pada Citra Digital Arnes Sembiring; Sayuti Rahman; Mufida Khairani; Ilham Faisal; Sri Eka Riyani Harahap; Muhammad Zen
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5163

Abstract

In the current era of information technology, the use of images is widely applied in various aspects of life. Some of the uses of image processing include the fields of military, medicine, education, agriculture and so on. One example of the use of image processing that will be discussed in this study is in the agricultural sector. Farmers can take advantage of technology in selecting fruit with the appropriate maturity level. In terms of selecting fruit based on the level of maturity, some fruit farmers still use the conventional method or with the human sense of sight, namely the eye. Therefore, this study was conducted for preliminary research that can change the conventional method into system that uses technology that makes a computerized way of identifying fruit maturity levels. The system that will be used to identify fruit maturity uses the Gray Level Co-occurance Matrix method on digital images and Euclidean Distance as a classification method. This application is built using MatLab 2019a programming. The test results show that the Gray Level Co-occurance Matrix and Euclidean Distance methods can be used to identify the ripeness of guava, oranges, bananas, papayas and mangoes into three categories, namely raw, unripe and ripe. The Gray Level Co-occurance Matrix and Euclidean Distance classification methods succeeded in identifying fruit maturity with an overall success rate of 87%.
Perbandingan Sistem Pendukung Keputusan Menggunakan Metode WP Dan TOPSIS Studi Kasus Program Keluarga Harapan (PKH) Desa Kampung Kramat Arya Dimas Setiadi; Agung Triayudi; Agus Iskandar
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5358

Abstract

PKH or the Family HopehProgram that is a conditional social assistance program for poor families as the initial basis for achieving family happiness which is a long-term problem. Therefore, the government introduced the Family Hope program (PKH) to reduce poverty. The Family Hope Program (PKH) is a social policy that provides social services in the form of cash and basic necessities to poor families who depend on school children and pregnant women for their lives. Family hope in the future, family poverty alleviation is a form of social investment in poverty alleviation. In this case, the Family Hope Program (PKH) was established in Kramat village as a forum to increase socialization and poverty alleviation. A decision support system (DSS) will be built using the weighted product (WP) method and a priority control technique similar to the ideal solution (TOPSIS) to calculate the problem

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