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All Journal Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Jurnal Optimalisasi
Nur Indrianti
Universitas Pembangunan Nasional "Veteran" Yogyakarta
Control & Systems Engineering Education Industrial & Manufacturing Engineering

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Kesiapan dan Motivasi Mahasiswa dalam Mengikuti Pembelajaran Online di Masa Pandemi COVID-19 Nur Indrianti; Ellen Chung; Ammar Hamid Adil
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol 7, No 7: JULI 2022
Publisher : Graduate School of Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/jptpp.v7i7.14661

Abstract

This study aimed to determine online learning readiness, motivation, and challenges for students in Indonesia during the COVID-19 pandemic. Aspects considered in this study included supporting devices and skills to use them, independence in learning, self-control for successful learning, learning motivation, and online communication. The study was conducted using an online questionnaire and crosstabs analysis. The results showed that the students had a good readiness and motivation to do online learning during the pandemic. The most common obstacles included internet connection, limited data quota, unsupported devices, and lecturer learning methods.
Perencanaan Produksi Batch pada Industri Makanan untuk Meningkatkan Produktivitas Vaniloran Elysa Andriani; Nur Indrianti; Nur Afni
Jurnal Optimalisasi Vol 8, No 2 (2022): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v8i2.5734

Abstract

The batch production system is one of the strategies used by the industry to meet increasingly varied consumer demands. More product variations can result in an increase in the total setup time as a result of the many production processes switching from different families. This study aims to plan batch production at Bakpia Pathok Vista (UBV) SMEs to increase productivity by reducing setup and idle time. Production planning includes job sequencing and operator allocation. A heuristic algorithm was proposed to solve the problem. The results showed that production planning based on the proposed algorithm could reduce the total setup time and idle time by 15.63% and 92.67%, respectively, so that productivity increases by 31.67% from the previous condition. This research can be further developed by considering operator overtime and minimizing makespan.
Co-Authors Ammar Hamid Adil Ellen Chung Nur Afni Vaniloran Elysa Andriani