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All Journal Jurnal Teknologi Industri Pertanian Journal Industrial Servicess Teknosains : Jurnal Sains,Teknologi dan Informatika Cendekia Niaga Industrika : Jurnal Ilmiah Teknik Industri Ulil Albab
M Zaky Hadi
Institut Teknologi Sumatera
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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PEMODELAN ANTRIAN SISTEM PENGAMBILAN PESANAN PRODUK PADA GUDANG MINUMAN RINGAN DENGAN SISTEM RAK DRIVE-IN M Zaky Hadi, Taufik Djatna, dan Sugiarto
Jurnal Teknologi Industri Pertanian Vol. 27 No. 3 (2017): Jurnal Teknologi industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper proposed a queue model for beverage order picking system produced from agricultural commodity in warehouse with drive-in rack system in order to analyze and increase the warehouse performance. A (M/M/C):(GD/N/∞) queue approach was used to build the model with the queue approach. This paper considered total operator must-be-assigned to improve queue time (Wq), queue length, and utilization in the warehouse.  Stack, queue, linked list, Colour HSB (Hue, Saturation, Brightness) algorithms were used to represent drive-in rack, product queuing, and product status in the warehouses. The model was implemented in computer simulation using java programming. After build the model, a real case industrial problem was presented to test the model. The model could calculate warehouse performance including low performance in racking, transportation to loading area, and loading process for current number of operators and idle operator in the warehouse process. This result was in line with the industry condition that has over capacity and high product bottlenecks in the warehouse. The model was used to find and analyze total operator-must-assigned to increase the warehouse performance. The computer simulation showed colour changing based on density of product stack in queue area. This colour degradation helped for easier understanding and accelerating product status detection (including hold, ready-to-release, and expired beverage products in the warehouse).Keywords:beverage warehousing, drive-in rack, order picking, queue modelling, queueing theory
PEMODELAN RANTAI PASOK FLEKSIBEL PADA PEMURNIAN MINYAK SAWIT: STUDI KASUS DI PT X Meilita T. Sembiring; M. Zaky Hadi; Sukaria Sinulingga; Dini Wahyuni; Andreasen P. Chaidir; Sawaluddin Sawaluddin
Jurnal Teknologi Industri Pertanian Vol. 31 No. 3 (2021): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2021.31.3.356

Abstract

The development of the CPO-producing industry provides great benefits for the CPO refining industry.CPO is used as the main raw material for refined derivative products such as oleopangan products (cooking oil,margarine, shortening) and oleochemicals (fatty acids, fatty alcohol, glycerine). A related problem is theinefficiency in the distribution network caused by the complexity of the existing system and related to the manytypes or product variants that must be integrated in shipping. The aim of this research was to design a flexiblesupply chain network for domestic palm oil refined products using a soft computing approach with a geneticalgorithm. The simulation results using GA showed that the optimal solution completion time of themathematical model only takes 57 seconds. The optimization of the model that has been formulated was tested incases where the results were measured by the variables of the number of products distributed, distribution flowin the supply chain network, minimum cost (Z), and network facilities. The design was also tested by verificationof the optimization model by correcting errors in the model until the model produces a feasible solution andvalidating the optimization model to experts through the Association of Indonesian Palm Oil Entrepreneurs(GAPKI) North Sumatra, the Medan Palm Oil Research Center (PPKS) and Public Appraisal ServiceConsultants that often handles problems in the oil palm sector. According to experts, the designed modelrepresented the real situation so that it can be said that the model has been validated. The design is flexiblebecause it is able to meet the existing demand with utilities above 100% for 9 periods at a cost of Rp630,892,386.Keywords: multi-product, CPO refinery supply chain, genetic algorithm, optimization, flexible supply chainnetwork design
Peluang Implementasi Teknologi Big Data Dan Block Chain Untuk Peningkatan Kinerja Perdagangan Pada Sektor UMKM di Indonesia Pada Era Industri 4.0 M Zaky Hadi
Cendekia Niaga Vol 3 No 1 (2019): Cendekia Niaga
Publisher : Pusat Pendidikan dan Pelatihan Perdagangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52391/jcn.v3i1.463

Abstract

Industry 4.0 is the main challenge in business environment resulted from disruption technology. It has been affected many sectors in development country including SME in Indonesia. This paper provides a literature review on big data and block chain implementation opportunity to increase trading performance for indonesian SME sector in industry 4.0 era. A systematic literature review (SLR) was implemented to review the literature analysis, provide gap and recommendation to future research and managerial implementation on Indonesian SME. We found a system development on Big Data and how Indonesian government implements the system is the main challenge in this research area.
Work environment standardization for the t-shirt production process at CV Nanda Konveksi using lean principles Lina Aulia; Almirah Amanda Putri; M Zaky Hadi
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1064

Abstract

The purpose of this study is to standardize the workplace to meet CV ND Konveksi's goals for working hours. The variety of t-shirt production process timings at CV ND Konveksi, the unknown production process time for each type of t-shirt, and the nonconformity of Standard Operational Procedures (SOP) with actual work techniques are all impacted by current work environment issues. Using process activity mapping, observations were conducted of every step in the t-shirt production process to gather data for the study. By classifying the value of operations into three categories—value added, no value added, and no value added but necessary—the outcomes of data processing are assessed. Root Cause Analysis (RCA) is used to perform a root cause analysis based on the activity categories whose values have been determined. The identification of the root cause of the issue was based on the source of the problem that was experienced. This root cause was the absence of standardization in the work environment, which led to the formation of wasteful practices such as searching. The 5S principle (seiri, seiton, seiso, seiketsu, and shitsuke) is applied in the work environment standardization strategy. When CV ND Konveksi Lampung adopted the 5S program, performance productivity increased by 10%, the value ratio decreased by reducing NNVA activities by 22 and NVA by 13, and the processing time efficiency increased by 30%, from 19.7 minutes to 13.9 minutes for the production of a single t-shirt. Another result was activity efficiency, which came in at 22%. Of the activities, 15 could be deleted because they contributed no value
A design of cross-selling products based on frequent itemset mining for coffee shop business M Zaky Hadi; Ari Hasudungan Pratama Pasaribu; Fatin Saffanah Didin; Lina Aulia
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1065

Abstract

Using a case study at the XYZ coffee shop in Bandar Lampung, Indonesia, this work conducts knowledge extraction on a sales dataset to create a cross-selling model for product bundling advice. Understanding Knowledge extraction was done using a frequent itemset mining technique based on an Apriori algorithm to extract a set of association rules between products. The study implemented a five-stage frequent itemset structure that encompasses business comprehension, data preparation, data exploration, model creation using the Apriori algorithm, and rules evaluation. The framework that comes from this research provides a set of bundling association rules across items for cross-selling strategies that involve many products and complex sales timeframes. Additionally, we recommended sales activities based on loyalty cards to enhance our dataset with consumer attributes and purchasing trends. Based on customized services and tailored offers based on consumers' past purchases and spending patterns, the loyalty card recommendation was created. Consequently, we may target the appropriate clients and items with our marketing initiatives
Pengaruh Employee Engagement dan Kepuasan Kerja terhadap Kinerja Dosen serta Penggunaan Metode ADDIE untuk Rekomendasi Perbaikan Rafli Syahputra, Irfan; Gusvita, Rinda; Hadi, M. Zaky
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 2 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i2.1325

Abstract

This study aims to test and analyze the effect of employee engagement and job satisfaction on the performance produced by lecturers of the Sumatra Institute of Technology (ITERA) and provide program recommendations to overcome performance problems that occur. The population in this study was all ITERA lecturers with a total of 574 lecturers and samples were obtained with the Slovin formula which resulted in 85 ITERA lecturers. Data collection was carried out through questionnaires and then the results were analyzed by: validity tests, reliability tests, classical assumption tests, determination coefficient tests, hypothesis tests, and multiple linear regression tests using SPSS. The method used to determine improvement recommendations is the ADDIE method. The results showed that employee engagement and job satisfaction have an influence on the performance of ITERA lecturers. Based on these results, the proposed program recommendations include the provision of benefits, socialization of IKU, and the SISTER application and training and certification designed with the ADDIE method which is expected to overcome performance problems that occur. Keywords: Employee Engagement, Job Satisfaction, Performance
Designing an analytics dashboard for knowledge extraction in the retail industry using descriptive and predictive analytics Ruansyah, Muhammad Aldyan; Hadi, M Zaky; Iqbal, Muhammad; Juniwati, Juniwati; Aulia, Lina
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.27900

Abstract

With the rise of digitalization and data growth, many business sectors are increasingly focused on data. As a result, developing a descriptive and predictive analytics dashboard is essential for extracting insights from complex datasets and supporting decision-making. This study addresses data analytics challenges in the retail industry by designing a dashboard system for analyzing and visualizing data. It also proposes future predictions for customer analytics, simplifying the interpretation of results from complex datasets obtained through business activities in the retail supply chain. These processes have implications for decision-making in areas such as customer segmentation, demographic analysis, and sales performance. The dashboard design includes a pre-processing stage for retail industry datasets and the creation of descriptive and predictive analytics models using clustering methods. It also simulates the development of these models into a comprehensive dashboard. The primary analysis employs the K-Means algorithm for RFM (Recency, Frequency, Monetary) analytics, customer segmentation, and demographic analysis. Results show that the use of this dashboard enhances the visualization of data, supporting decision-making processes related to marketing strategies, sales performance, and inventory management. By applying advanced analytic techniques to marketing strategies, supply chain management, and inventory planning, retail businesses can optimize their operations. This optimization is achieved through better data analytics tools.
Model Pengembangan Kebijakan Inventori Joint Replenishment untuk Multi Produk dengan Mempertimbangkan Produk Substitusi Elvi Armadani; M Zaky Hadi; Dian Fajarika; Juniwati Juniwati; Hersa Dwi Yanuarso
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 2 No. 8: Juli 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v2i8.1963

Abstract

Pendekatan joint replenishment merupakan salah satu metode yang digunakan dalam melakukan replenishment inventori. Dengan joint replenisment. Dengan joint replenishment biaya pesan dapat diminimasi karena hanya menggunakan satu kali pengiriman untuk beberapa produk sekaligus. Contoh proses replenishment inventori yang menggunakan pendekatan ini adalah pada retailer maupun toko grosir dengan jenis produk consumer goods. Ciri dari pasar consumer goods adalah adanya kemungkinan pemenuhan demand dengan produk lain yang sejenis, sehingga dapat dikatakan produk tersebut dapat saling mensubstitusi. Selain itu, terdapat kesulitan dalam proses replenishment produk jenis ini yaitu adanya ketidakpastian demand dari sisi customer. Penelitian ini mengembangkan model inventori Maddah, dkk (2016) mengenai model joint replenishment dengan mempertimbangkan substitusi produk. Pada penelitian ini, digunakan demand dengan sifat probabilistic. Service level telah ditetapkan sebelumnya oleh perusahaan (probabilistic sederhana). Ukuran kinerja yang diperhatikan adalah meminimasi ongkos total yang terdiri dari ongkos pembelian, ongkos pemesanan, ongkos penyimpanan, dan ongkos kekurangan. Berdasarkan uji coba model, didapati hasil bahwa model joint replenishment dengan substitusi memberikan ongkos total lebih rendah dibandingkan tanpa substitusi. Selain itu, model tersebut juga sensitif terhadap perubahan harga dan perubahan ongkos simpan.
Co-Authors Almirah Amanda Putri Andreasen P. Chaidir Ari Hasudungan Pratama Pasaribu Dian Fajarika, Dian Dini Wahyuni Elvi Armadani Fatin Saffanah Didin Gusvita, Rinda Hersa Dwi Yanuarso Iqbal, Muhammad Juniwati Juniwati Juniwati, Juniwati Lina Aulia Meilita T. Sembiring Rafli Syahputra, Irfan Ruansyah, Muhammad Aldyan Sawaluddin Sawaluddin Sukaria Sinulingga