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All Journal Jurnal Technopreneur (JTech) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Risky Agung Nurdian
Universitas Islam Negeri Sunan Ampel Surabaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Energy Mechanical Engineering Other

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PEMODELAN SIMULASI PRODUKSI BAKSO DAN SISTEM DISTRIBUSI Risky Agung Nurdian; Rensa Prasidyajyandalu; Moch. Bagoes Ali Masyhuri; Dwi Rolliawati
Jurnal Technopreneur (JTech) Vol 8 No 1 (2020): JURNAL TECHNOPRENEUR (Mei)
Publisher : UPPM Politeknik Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.62 KB) | DOI: 10.30869/jtech.v8i1.413

Abstract

Intense competition at the present time requires producers to increase the effectiveness and efficiency of human resources and product material resources. Meatball X production is one of the small industrial productions engaged in the culinary field. In the production process and distribution of meatball X production is still not optimal. This study aims to make simulation modeling to maximize production and distribution in meatball X production. The results of the research of the meatball manufacturing process go through 4 stages namely milling, emulsification, printing, and packaging. With a total production of 1200 pieces per day and produces a maximum income of Rp. 1,800,000 with a net profit of Rp. 1,025,000. To determine the shortest route and distribution path using the Dijkstra algorithm. From the Dijkstra calculation results the shortest route and path as far as 14.1 Km with this route X meatball production can shorten the distribution time and reduce costs for fuel.
Komparasi Metode SMOTE dan ADASYN dalam Meningkatkan Performa Klasifikasi Herregistrasi Mahasiswa Baru Risky Agung Nurdian; Mujib Ridwan; Ahmad Yusuf
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 1 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i1.4004

Abstract

Universities annually accept new students at the beginning of the new school year. In the acceptance of prospective students on the Seleksi Prestasi Akademik Nasional Perguruan Tinggi Keagamaan Islam Negeri (SPAN PTKIN) di State Islamic University Of Sunan Ampel Surabaya, many prospective students who do not register will have an impact on income of the State Islamic University Of Sunan Ampel Surabaya institution. If the institution can find out early on the probability of a prospective student who will resign, then the management can take action to retain the prospective student. To overcome this, data mining classification can be carried out. The methods used in this classification are decision trees and naïve bayes. The number of students who did not re register compared to reregister resulted in the data being imbalanced. Data imbalances can affect the accuracy of the classification results. The imbalance of the data used can result in an unsuitable model. The solution to handle the data imbalance is to use the SMOTE and ADASYN oversampling methods. The purpose of this study was to compare performance of the SMOTE and ADASYN methods. The results show that the SMOTE method can balance the data in a balanced way compared to ADASYN. From the test results, the SMOTE method is more suitable to use than the ADASYN method because the ROCAUC SMOTE value is higher than ADASYN.  
Co-Authors Ahmad Yusuf Dwi Rolliawati Moch. Bagoes Ali Masyhuri Mujib Ridwan Rensa Prasidyajyandalu