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Filscha Nurprihatin
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fnurprihatin@bundamulia.ac.id
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INDONESIA
JIEMS (Journal of Industrial Engineering and Management Systems)
Published by Universitas Bunda Mulia
ISSN : 19791720     EISSN : 25798154     DOI : doi.org/10.30813/
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Journal of Industrial Engineering and Management Systems (JIEMS) publishes scientific papers, including empirical research, theoretical and scientific related original industrial engineering. The focus and scope of JIEMS include manufacturing systems, production, logistics, supply chain management, operations research, product design, ergonomics, and the other field of industrial engineering expertise groups.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 172 Documents
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Inventory Lot Sizing Decisions for Material Requirements Planning to Minimize Inventory Costs Filscha Nurprihatin; Rafie Djajasoepena; Vanessa Bertholdo Vargas; Moacyr Machado Cardoso Junior; Ali Vaezi
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 16, No 2 (2023): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v16i2.4722

Abstract

Inventory control is one of the most important factors in achieving optimal organizational performance. Material Requirement Planning (MRP) is a common method used by businesses to manage inventories. This study focuses on a hydraulic firm that has been in operation since 2016. This research examines the planning of eleven components to get the best planning for the company. This study contributes to the integration of Moving Average (MA) and Exponential Smoothing (ES) forecasting techniques alongside the MRP and three lot sizing techniques, such as LFL, EOQ, and LUC. The minimum error values between MA and ES are evaluated and followed by the comparison between three lot sizing techniques. The result shows that ES (α=0.1) is selected as the best forecasting technique, and LUC presents the lowest total inventory cost. However, LUC is only 0.05 percent lower than what LFL presents. A larger difference is shown by EOQ with 14.57 percent higher than LUC which makes EOQ unlikely to be selected.
APLIKASI MONITORING SMART CHARGER ANDROID BERBASIS MIKROKONTROLER ESP8266 MENGGUNAKAN FLUTTER Asvian Sulaeman; Angelina Pramana Thenata; Bhustomy Hakim
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 16, No 2 (2023): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v16i2.4763

Abstract

Smartphone merupakan perangkat yang sudah umum digunakan oleh masyarakat di zaman modern ini. Berdasarkan sistem operasinya smartphone terbagi menjadi dua jenis, yaitu IOS dan Android. Untuk menjalankan fungsinya, smartphone membutuhkan daya yang diambilnya dari baterai. Baterai yang digunakan didalam smartphone memerlukan pengisian ulang menggunakan charger. Sedangkan pengisian ulang tersebut bisa memakan waktu yang cukup lama sehingga pengisian daya sering kali tetap berlanjut walaupun baterai sudah terisi penuh yang sering mengakibatkan overcharge. Berdasarkan identifikasi masalah tersebut, penelitian ini bertujuan untuk merancang smart charger menggunakan mikrokontroler ESP8266 dan aplikasi monitoring yang dapat membaca dan menampilkan data baterai dari Android Smartphone dan mengirimkan sinyal kepada smart charger untuk menyambungkan / memutuskan arus yang terhubung saat melakukan pengisian daya baterai berdasarkan data baterai yang dibaca oleh aplikasi Android yang dibuat peneliti. Penelitian ini menggunakan framework Flutter sebagai User Interface Android dan Web, karena Flutter sudah mulai mendukung pemrograman multi-platform. Penelitian ini dilakukan pengujian terhadap alat menggunakan eksperimen perbandingan dengan charger biasa dengan smart charger yang dibuat peneliti dan blackbox pada aplikasi web dan android. Hasil penelitian ini adalah aplikasi web dan android yang dapat membaca dan menampilkan data baterai, smart charger yang dapat terhubung dengan internet dan menyambungkan / memutus arus charging berdasarkan data yang dikirim oleh aplikasi menggunakan MQTT Protocol. Adapun juga hasil pengujian aplikasi ini menggunakan eksperimen perbandingan yang membuktikan keberhasilan smart charger untuk menghentikan arus pengisian daya saat baterai sudah terisi penuh, dan blackbox terhadap aplikasi Web dan Android yang sudah dinyatakan berhasil. Berdasarkan hasil penelitian tersebut, dapat disimpulkan bahwa smart charger dirancang dapat digunakan untuk mencegah overcharging dengan cara memutuskan arus pengisian daya baterai saat baterai sudah terisi penuh, serta menampilkan informasi baterai tersebut menggunakan aplikasi Android dan Web. Adapun smart charger dapat memperpanjang umur baterai pada Android Smartphone.

Page 18 of 18 | Total Record : 172

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