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Implementasi Business Intelligence (BI) di PT. X dalam Membuat Keputusan Penjualan Properti dengan Metode Online Analytical Processing (OLAP) Novianto, Didin Dwi; Saptomo, Amanat Bintang; Cahyo, Winda Nur
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 16, No 1 (2025): JURNAL SIMETRIS VOLUME 16 NO 1 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i1.13988

Abstract

Perumahan adalah salah satu kebutuhan dasar bagi kehidupan manusia. Seiring dengan tingkat pertumbuhan penduduk, terjadi peningkatan kebutuhan rumah. Tingginya permintaan ini membuat peluang bagi perusahaan properti, salah satunya PT X yang berada di Lampung. Untuk dapat terus maju dan berkembang, sebuah perusahaan harus berinovasi supaya dapat bersaing dengan perusahaan lain. Penerapan teknologi informasi berupa Business Intelligence (BI) dapat meningkatkan keunggulan bersaing. BI merupakan sebuah proses untuk melakukan ekstraksi data-data yang dapat meningkatkan keunggulan sebuah perusahaan. BI dapat menjadi alat bantu mengolah data-data menjadi informasi yang bernilai lebih dan membantu perusahaan untuk membuat keputusan manajemen yang lebih baik berdasarkan data yang dimiliki. Implementasi BI yang dilakukan berupa pengolahan data penjualan perumahan PT X dan juga data-data lain yang diperlukan sehingga dihasilkan output berupa tampilan visualisasi dan informasi melalui dashboard informasi yang dapat memberikan wawasan mengenai kondisi pasar perumahan yang ada di Lampung. Langkah-langkah yang dilakukan dalam implementasi BI ini dimulai dari pengumpulan data, pengolahan data melalui metode Extract, Transform, Loading (ETL) yang kemudian dilanjutkan dalam metode Online Analytical Processing (OLAP) untuk melakukan analisis. Akhirnya dihasilkan visualisasi data yang dapat menggambarkan relasi dan pola antara variabel yang ada dalam data dan mengkomunikasikan informasi secara jelas dan efektif melalui sarana grafis.
Perancangan Dasbor untuk Peningkatan Kinerja Penjualan menggunakan Pendekatan Self-Service Business Intelligence pada PT. X Hidayat, Muhammad Farhan; Cahyo, Winda Nur; Annisa, Putri Dwi
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 16, No 1 (2025): JURNAL SIMETRIS VOLUME 16 NO 1 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v15i2.13991

Abstract

Penelitian ini berfokus pada peningkatan kinerja penjualan PT. X, sebuah perusahaan ritel di industri fashion dengan lebih dari 25 cabang dan 500 produk. Penelitian ini mengusulkan desain dasbor berbasis self-service business intelligence (SSBI) menggunakan perangkat lunak Tableau untuk mengatasi masalah seperti kelebihan stok, kekurangan produk, dan kurangnya alat analitik untuk pengambilan keputusan. Penelitian ini mengintegrasikan peramalan permintaan dan analisis keranjang pasar untuk meningkatkan manajemen persediaan serta mengembangkan sistem paket penjualan produk yang lebih menarik. Lima dasbor dirancang, mencakup kinerja penjualan, peramalan permintaan, dan analisis pasar. Dasbor ini bertujuan memberikan wawasan yang dapat ditindaklanjuti bagi pengambil keputusan, meminimalkan kerugian, dan mengoptimalkan strategi pemasaran. Hasil penelitian berupa prototipe yang mampu mengubah data mentah menjadi format visual yang menarik dan mudah digunakan, sekaligus mengurangi ketergantungan pada spesialis teknologi informasi serta mendorong pengambilan keputusan berbasis data.
Strategi Proaktif Manufaktur untuk Mengelola Ketercapaian Rencana Produksi Multiproduk Widiatmaka, Nawang; Cahyo, Winda Nur
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.7188.11-20

Abstract

The case study focuses on a multi-product company in Indonesia that aims to develop a proactive manufacturing strategy to tackle production disruptions caused by process uncertainty. Data from 30 periods are analyzed to evaluate the company's weekly production plan performance, revealing consistent quantity fulfillment but significant discrepancies in the types of products produced compared to the plan. Process uncertainty, especially regarding quality, leads to disruptions such as uneven and inadequate material supplies. Statistical Process Control (SPC) tools, like Pareto analysis, are used to identify priority quality issues, forming the basis for Fault Tree Analysis (FTA) to trace root causes and determine intervention points. Each machine's limited set of valves and pipes poses challenges for thorough cleaning during downtime and quality management outside working hours. Introducing backup valves and pipes per machine can mitigate these issues and improve production efficiency. Companies can implement procurement strategies for pipes and valves to prevent dirty prints in the primary process, ensuring smooth material supply and minimizing disruptions. Although actual production plan achievement hasn't reached 100%, this strategy has the potential to increase product sales by 3.31% by reducing the rejection ratio of dirty prints. Ultimately, proactive procurement of spare pipes and valves is expected to increase production efficiency by 4%, indicating enhanced production schedule stability.
The Analysis of the Digitalization Role on Towards Supply Chain Resilience and Sustainable (Case Study: MSME in Balikpapan City) Kurnia, Wahyu Ismail; Harits, Dimaz; Cahyo, Winda Nur
Spektrum Industri Vol. 23 No. 1 (2025): Spektrum Industri - April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i1.277

Abstract

The COVID-19 pandemic has caused significant changes in almost all sectors, including disruptions in the global supply chain. Acceleration of supply chain recovery to create supply chain resilience and sustainability by implementing various strategies, including digitalization. Empirical evidence is still very limited in the literature, especially in studies involving supply chain actors from MSMES with different characteristics and locations. Therefore, this study aims to address this problem by analysis the role of digitalization in improving supply chain resilience and sustainability based on a case study of MSMES in Balikpapan City. Three hypotheses have been proposed to answer the research problem. This study uses the Structural Equation Modelling (SEM) approach with the help of IBM AMOS software version 22 for hypothesis testing. Questionnaires were distributed to 200 MSME actors with different characteristics in Balikpapan City. The results are: (1) the role of digitalization has a significant positive effect on supply chain resilience; (2) the role of digitalization has a positive effect on supply chain resilience; (3) supply chain resilience has a significant positive effect on supply chain sustainability. Despite the differences in characteristics of business models and business sectors, supply chain resilience and sustainability can be improved by using appropriate digital technology in each supply chain. The contributes of this study shows that there is a potential for good supply chain visibility that allows every actor along the supply chain to monitor, transfer, and improve the accuracy of decision making accurately and quickly, to handle any disruptions and improve supply chain sustainability.
Re-Engineering The Business Process of Slickline and Electric Line Operation Putra, Rendi Harun; Cahyo, Winda Nur; Zhang, Tieling
Spektrum Industri Vol. 20 No. 1 (2022): Spektrum Industri - April 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v20i1.22

Abstract

A strategy to save cost related to oil exploration process is discussed in this paper. The focus is to reduce the cost in slickline and electric line operation in order to maintain the business continuity, where this conclusion was obtained by looking at the comparison between the costs incurred during previous operations with the costs incurred at this time by comparing the results of operations obtained as well as comparisons with oil and gas prices both before and after 2018. This concrete step to be taken is a method for lean management because there is a cost suppression in it. The context of its implementation is through Business Process Re-engineering which of course will implement appropriate method steps to be taken. The method steps taken are to implement Value Stream Mapping which in its preparation includes an analysis of the slickline and electric line operation work steps carried out, including by compiling; Product family or operation work steps, Current state map of both operations and Design future state map of Wire Line operation proposal and 5S theory process as completeness. The proposed strategy enable to reduce costs by combining slickline and electric line operations in one unit or one service company, then reducing the number of workers involved and making work more efficient, by reducing the Rig up and Rig process, Down PCE (Pressure Control Equipment), reducing the repetition of the work intervention process.
SIMPLIFIED SUPPLIER SELECTION CRITERIA IN SMALL AND MEDIUM ENTERPRISES: A FUZZY AHP APPROACH Harwati; Widodo, Imam Djati; Cahyo, Winda Nur
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Many SMEs struggle when it comes to supplier selection due to the large number of criteria available. Because SMEs lack sufficient human resources and sufficient time, they cannot use complex supplier selection criteria and calculations. This research aims to create an efficient and straightforward supplier selection model. At the commencement, a literature review of 46 articles (2021-2022) generates 15 key suppliers selection criteria. The 80/20 Pareto principles state that delivery, price, quality, and service are the four main criteria. The Fuzzy Analytical Hierarchy Process is used to calculate the weighting of each criterion. According to the preferences of ten experts, the weights for price, delivery, quality, and service are 40%, 30%, 25% and 5% respectively. Ten supplier selection cases from literature are used to validate the process. This means that a simple model using the Fuzzy AHP approach will produce supplier rankings of identical supplier types which is 80% similar to the complex model of multi-criteria. This study contributes theoretically to the MCDM literature through a demonstration that reduced-criteria models can retain decision quality while increasing applicability. The model enables SMEs to easily make a reliable supplier selection choice.
A PROPOSED FRAMEWORK TO APPLY OPERATIONAL EXCELLENCE (OPEX) AS A BUSINESS STRATEGY Cahyo, Winda Nur
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 7 No. 1 (2019)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2019.007.01.3

Abstract

This study is initiated from a perspective that OPEX is not one of the mainstream issues in the area of productivity improvement. However, the potency of OPEX applied to assist the management to improve the productivity is solid. From the literature review, it is found that this circumstance is probably caused by the confusions of the researcher and management about OPEX. In this paper, OPEX is then considered as a business strategy in order to narrow the discussion and reduce the confusion. As a business strategy, it is important to develop a framework to apply it in every level of organisation. Because, framework of OPEX has not yet found, a framework is proposed in this research based on the structure of OPEX. The framework is then applied in two case studies at two different company. The result shows that the framework is capable to assist the management to achieve the goal of OPEX.
ANALYSIS ON THE PURCHASING DATA TO RE-DESIGN THE PROCEDURE OF TURNAROUND MAINTENANCE Cahyo, Winda Nur; Zaman, Buchairi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2020.008.02.2

Abstract

Turnaround (TA) is a large-scale maintenance activity (extraordinary maintenance activities), which is carried out periodically (repeated large-scale maintenance), where the work referred to can only be carried out when the unit is stopped operating. The main scope of work is inspection (inspection), repair, cleaning equipment. The success or failure of turnaround activities is very influential from careful preparation, some of the failures of turnaround activities result from unplanned preparations. One factor is the readiness of the material. This paper discusses the direct involvement of the material procurement process in determining better TA preparation time. The historical data from the purchasing is analyses and then the result is combined with the new proposed procedure of the TA maintenance. The new procedure has three months less than the current procedure.
Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model Basuki, Demas Emirbuwono; Cahyo, Winda Nur; Handayani, Dwi; Apriani, Ratna Agil; Mukarim, Rifki Nurul
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.153-168

Abstract

Lean Six Sigma is a method that is quite effective in solving waste problems in the production process, but it is often not optimal because of the tools used in the DMAIC process. Therefore, we developed a proposed model by combining the Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma to reduce waste in the production process. The Waste Assessment Model was used at the defined stage to identify waste, while the Fuzzy-FMEA was used for priority waste risk analysis at the analysis stage. Based on the results of the Waste Assessment Model case study, defects were the most influential waste, with a percentage of 22.38%. At the analysis stage using Pareto diagrams, tearing was the dominant defect in the Nike Extreme. Based on calculations using the Fuzzy-FMEA method, the highest cause of defects was errors in processes or missed processes that caused the failure. Improvement was carried out at the improvement stage, and we found it necessary to carry out intensive and periodic control or supervision of the Nike Extreme production process. Based on these results, the proposed Lean Six Sigma model can be used to identify and reduce waste in the production process.