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All Journal Journal of Industrial Engineering Management Jurnal Sistem Teknik Industri Jurnal Industri dan Teknologi Samawa (JITSA) Majalah Teknik Industri
Andi Velahyati Baharuddin
Politeknik ATI Makassar
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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A Trust Model for Electrical Stove Technology Acceptance of Indonesian Stereotype Fajri, Nofias; Baharuddin, Andi Velahyati; Putera, Dimas Akmarul; Faujiyah, Firdhani
Jurnal Sistem Teknik Industri Vol. 26 No. 1 (2024): JSTI Volume 26 Number 1 January 2024
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v26i1.14270

Abstract

The surge in LPG consumption within Indonesian households, coupled with stagnant LPG production, has compelled the government to import 75% of LPG by 2022. Despite initial plans for a transition to electric stoves in 2023, the program was halted due to widespread public resistance to electric stove technology. The rejection was attributed, in part, to low trust in this emerging technology, emphasizing the pivotal role of trust in influencing technological acceptance. In response, this research endeavors to construct a robust and reliable model capturing trust in the acceptance of electric stove technology. Utilizing the PLS Structural Equation Model method for data analysis, the focus centers on two trust indicators: propensity trust and human-machine trust. In the quest for a valid model, the statistical modeling technique considers five initial hypotheses developed with 32 trust-related items. Upon analysis, one hypothesis is rejected, while four are accepted. Notably, the trust human-machine (THM) variable emerges as a significant influencer of trust for electric stove technology (TTK), substantiated by a path coefficient of 0.917 and p = <0.001. Thus, the resulting model takes on a reflective form, offering insights into the intricate dynamics of trust in the acceptance of electric stove technology.
Penentuan Harga Pokok Produksi dengan Metode Full Costing di Industri Pembuatan Tahu Baharuddin, Andi Fathussalam; Baharuddin, Andi Velahyati; Samad, Abdul; Basri, Utari Nur Azizah
Majalah Teknik Industri Vol 30 No 1 (2022): Majalah Teknik Industri Vol.30 No.1 Juni 2022
Publisher : Unit Penelitian dan Pengabdian Masyarakat (UPPM) Politeknik ATI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61844/majalahteknikindustri.v30i1.368

Abstract

IKM TIGA PUTRA merupakan pabrik pengolahan tahu yang berada di Makassar. Setiap harinya perusahaan ini memproduksi sekitar kurang lebih 400 kg kedelai yang diolah menjadi tahu. Permasalahan yang dihadapi perusahaan adalah dalam hal penentuan harga pokok produksi yang tidak akurat karena masih ada unsur biaya overhead pabrik yang tidak diperhitungkan. Penentuan harga jual berdasarkan harga pokok produksi yang tidak akurat berakibat pada perolehan keuntungan yang tidak real. Penelitian ini bertujuan untuk menghitung harga pokok produksi tahu di IKM TIGA PUTRA dengan menggunakan metode full costing yang kemudian akan dikomparasi dengan perhitungan harga pokok produksi berdasarkan metode manual yang dilakukan oleh perusahaan. Berdasarkan perhitungan yang dilakukan perusahaan maka didapatkan harga pokok produksi tahu per cetak sebesar Rp. 37.957,- sedangkan berdasarkan hasil perhitungan dengan metode full costing harga pokok produksi tahu per cetak Rp. 38.769,-. Selisih diantara kedua perhitungan tersebut sebesar Rp. 812,-. Dari kedua cara tersebut diketahui perhitungan yang diterapkan IKM TIGA PUTRA lebih rendah dibandingkan dengan penggunaan metode full costing.
Masalah Penentuan Lokasi Dan Rute Pencemaran Dengan Mempertimbangkan Jarak Minimum Fasilitas Ke Wilayah Perumahan Dan Rute Majemuk Andi Muhammad Fiqri Achmad; Andi Velahyati Baharuddin
Jurnal Industri dan Teknologi Samawa Vol 6 No 1 (2025): EDISI 11
Publisher : Program Studi Teknik Industri Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/jitsa.v6i1.5228

Abstract

The minimum distance of the new facility from the residential area is as far as 2 kilometers. Regulations are made to prevent pollution that can pollute residential areas. This study discusses the problem of determining the location of new facilities and determining the route of pollution vehicles by considering the minimum distance of the facility to the residential area of the compound route. The purpose of this study is to develop a mathematical model for the problem of determining the location of facilities and vehicle routes that considers the minimum distance of the facility to residential housing and compound routes. This study develops a mathematical model in the form of Mixed Integer Quadratic Programming (MIQP). The trial was conducted with 2 scenarios, namely 2 and 3 facility candidates, and from 7 to 13 customers. The trial scenario was carried out by changing the minimum distance from the facility candidate to the residential area, so that each scenario had 21 data processing times. From the results of data processing for the 2 facility candidates obtained, it can be seen that between the number of customers 7 to 13 there is no noticeable difference, and it still tends to look the same. Likewise with 3 facility candidates who do not show too big differences or even tend to be the same. The results obtained for 2 facility candidates with a minimum distance of 200 were 21,385.3, and the results for 3 facility candidates with a minimum distance of 200 were 21,237.3.
INCREASING INVENTORY MANAGEMENT EFFICIENCY AT PT. XYZ'S MACHINE WORKSHOP THROUGH INTEGRATED APPLICATION DESIGN STRATEGY Nurwahidah, Andi; Sawal, Ahmad; Baharuddin, Andi Velahyati; Natsir, A Dian Sry Rezky; Lifana, Azizah Salsabila
Journal of Industrial Engineering Management Vol 9, No 3 (2024): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i3.1798

Abstract

PT XYZ has a machine workshop unit that serves as a support system for the smooth operation of the factory. The machine workshop contains a tools area that houses consumable materials and equipment. The process of recording materials and equipment in the machine workshop still relies on Microsoft Excel, which takes a long time for the person in charge (PIC) to input data, especially when accessing the computer. Furthermore, supervisors and managers cannot directly monitor the materials and equipment. Therefore, a mobile application is needed to address these issues. The objective of this research is to design an inventory application for materials and equipment. The system design involves using data flow diagrams and utilizing Google Access as the database, along with AppSheet for application development. Based on operational results, it was found that this application can simplify data input for the PIC and enable monitoring by supervisors and managers.
Analisis Kebutuhan Kapasitas Produksi Mortar Instan Menggunakan Metode Perencanaan Kapasitas Rough Cut (Studi Kasus: PT. Bumi Sarana Beton) setiawan, irwan; Baharuddin, Andi Velahyati; Muhammad, Maula Sidi; Haris, Syukri Agung Wijaya
Jurnal Industri dan Teknologi Samawa Vol 6 No 2 (2025): EDISI 12
Publisher : Program Studi Teknik Industri Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/jitsa.v6i2.5173

Abstract

The rapid development of the industrial world has increased competition among companies, especially in meeting production needs for large and timely demand. This research aims to understand the production process, predict and analyze capacity requirements, and determine the appropriate instant mortar production target for the companies. Forecasting methods are used to estimated incoming demand, and Rough Cut Capacity Planning (RCCP) is employed to determine the capacity a production facility can provide or need within a certain period. RCCP calculates the required capacity using three inputs: MPS, Production Time, and Historical Proportion. Forecasting results using the Single Exponential Smoothing method with a smoothing factor of 0.9 yield the smallest error indicators for four metrics: MAD, MSE, MFE, and MAPE. RCCP results, with a utility of 0.83 and efficiency of 0.93, indicate that the 2023 production capacity requirement is 239,066,667 minutes, while capacity availability is 184,535,560 minutes, meaning the production target cannot be met on time. To determine the appropriate production target, the company employs two strategies: increasing the production load by adjusting the MPS with a production capability of 276,803 and enhancing capacity by implementing a three-shift system, thereby boosting facility production.
Co-Authors Abdul Samad Andi Muhammad Fiqri Achmad Baharuddin, Andi Fathussalam Basri, Utari Nur Azizah Dimas Akmarul Putera Fajri, Nofias Faujiyah, Firdhani Haris, Syukri Agung Wijaya IRWAN SETIAWAN Lifana, Azizah Salsabila Muhammad, Maula Sidi Natsir, A Dian Sry Rezky Nurwahidah, Andi Sawal, Ahmad