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Membangun Sistem Informasi Inventori CV. Muda Jeans Berbasis Website Menggunakan Metode Rapid Application Development (RAD) Erik Rahman; Aviarini Indrati
Jurnal Explore Vol 11, No 1 (2021): JANUARI
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2317.312 KB) | DOI: 10.35200/explore.v11i1.469

Abstract

CV. Muda Jeans merupakan usaha milik perseorangan yang bergerak di bidang usaha jual beli dan memproduksi produk jeans wanita. Proses pencatatan dengan menuliskan setiap proses informasi tentang produk ke buku besar. Proses pencatatan tentunya masih banyak kekurangan seperti lembaran kertas buku yang mudah rusak dan hilang. Sistem ini diimplementasikan menggunakan metode Rapid Application Development (RAD) di merancang sistem. Peneliti melaksanakan persyaratan perencanaan untuk mengidentifikasi masalah dan masalah bisnis yang terjadi nanti pada tahap desain bengkel, peneliti membuat bengkel untuk menentukan alur kerja bersama sistem antarmuka dan pada tahap akhir peneliti melakukan pengujian sistem parsial pada tahap implementasi menggunakan metode pengujian kotak hitam. Peneliti ini ingin membangun sistem baru. Peneliti menghasilkan Informasi Inventaris berbasis web Sistem CV. Muda Jeans untuk membantu melakukan pencatatan produk. Kata Kunci : CV. Muda Jeans, Sistem Informasi Inventaris Berbasis Web, Aplikasi Cepat Pengembangan (RAD), pengujian black box.
PENERAPAN SISTEM INFORMASI PROSES PEMBELAJARAN SEBAGAI PENUNJANG FLIPPED CLASSROOM DALAM RANAH KOGNITIF Kaffah Imanuddin M. R. Santosa; Erik Rahman; Setiawati Setiawati; Frisiska Frisiska
Journal of Innovation And Future Technology Vol. 7 No. 1 (2025): Vol 7 No 1 (Februari 2025): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v7i1.3935

Abstract

Education is crucial in a civilization because through education humans humanize humans. In Bloom's taxonomy there are three domains that are used as the progress of students, including cognitive, affective, and psychomotor. Technology has developed in the education sector, many learning methods can support students' abilities, especially in the cognitive domain. The emergence of LMS makes it possible to make the learning process more flexible. Given that the teaching resources used are now almost non-physical, it is necessary to integrate the distribution of teaching materials that are easily accessible. Several platforms are competing in perfecting digital-based learning media with the aim of optimizing learning. Pertiwi University uses Sevima Edlink as an LMS for both offline and online learning. The purpose of this research is to find out the optimization of learning by using Edlink in the learning process at Pertiwi University, especially in the Technology Department using descriptive qualitative methods. Edlink is an LMS platform that is engaged in education. Many features support the flipped classroom learning model so that it will support students' cognitive levels quickly. In addition, the virtual class has complete features ranging from attendance, learning materials that are easily integrated into various formats, collection and assessment of assignments, group sharing and interaction in discussions in each session. Thus Edlink LMS can optimize the learning process through flipped classroom learning.
PENENTUAN DOSIS KOAGULAN PADA PENGOLAHAN AIR MINUM: PENDEKATAN FUZZY BERBASIS DATA DAN PENENTUAN FUZZY SET BERBASIS Z-SCORE Monica Cinthya; Retno Aulia Vinarti; Nisa Dwi Septiyanti; Cendra Devayana Putra; Erik Rahman; Rifqi Abdillah
Journal of Innovation And Future Technology Vol. 7 No. 2 (2025): Vol 7 No 2 (Agustus 2025): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/0ffxq425

Abstract

direct use of raw water has serious health risks. Therefore, various water treatment processes are needed to make the raw water safe for use in domestic purposes. One important stage in such processing processes is coagulation and flocculation, where chemicals (coagulants) are used to remove colloidal particles and form larger floc that can be easily precipitated through sedimentation and filtration. Determination of the optimal coagulant dosage is essential to achieve the desired water quality. However, jer-test problems, the non-linear nature of water, and the complexity of coagulation theory can make it difficult to determine the optimal dose. Therefore, in this study, a system is proposed that uses a data-based fuzzy approach and fuzzy set determination using z-score to study data patterns and relationships between parameters in the coagulation process. The proposed method utilizes a fuzzy approach to address the non-linear nature of water and the complexity of coagulation theory. The system uses the collected data patterns to develop fuzzy models that can predict optimal coagulant doses based on specific conditions. This approach allows the system to learn from existing data and identify patterns of relationships that may be hidden between relevant parameters. The results showed that the proposed system achieved an RMSE value of 0.7639589866827494, while the MSE value was 0.5836333333333333333. This suggests that the system can provide a fairly accurate prediction of the dose of coagulant required in the coagulation process.