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Analisis Prediksi Penjualan Wedang Uwuh Instan dengan Simulasi Algoritma Monte Carlo Titik Rahmawati; Eka Yulia Sari; Agung Priyanto; V. Reza Bayu Kurniawan; Diyan Dewana Jaya
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3705

Abstract

Traditional herbal drinks such as Wedang Uwuh which is a typical Yogyakarta regional drink made from various natural spices it has various benefits. Wedang Uwuh instant ​​is an innovative product from a traditional drink that is packaged in a modern way. Instant Wedang Uwuh is a product of creativity from Industrial Engineering students at the Faculty of Engineering, Universitas Sarjanawiyata Tamansiswa, which is managed by lecturers and students. The manager of instant Wedang Uwuh, PT Sruput Jaya, is experiencing difficulties in stock management and estimating the amount of production required each month. The uncertain demand for instant Wedang Uwuh is an obstacle in determining the production quantity of Instant Wedang Uwuh. Currently, sellers can only see the increase in sales manually. This research aims to predict the level of production or sales of Instant Wedang Uwuh using the Monte Carlo simulation algorithm precisely and accurately. The results of Monte Carlo simulation testing for 12 months reached a prediction accuracy level of 96.40%. The tests carried out will become a reference for preparing instant Wedang Uwuh production for the next 12 months. Obtaining an accuracy rate of 96.40% in this Monte Carlo simulation can be recommended for determining the amount of Wedang Uwuh production in the first 12 months of the following year.
INORGANIC WASTE BINS TO INCREASE COMMUNITY PARTICIPATION IN MANAGING HOUSEHOLD WASTE Kurniawan, V. Reza Bayu; Sulistyorini, Dewi; Gutama, Detha Sekar Langit Wahyu; Wibowo, Robertus Anggi Candra; Pasaribu, Wandoni; Purnomo, Haryo
JOURNAL OF SUSTAINABLE COMMUNITY SERVICE Vol. 4 No. 4 (2024): SEPTEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jscs.v4i4.734

Abstract

The increase in population significantly impacts the growth of waste volume. In Indonesia, poor waste management exacerbates the issue of waste. In Yogyakarta, specifically, this problem has become critical due to the permanent closure of the integrated waste disposal site that has been relied upon. Despite various government programs being implemented, the active participation of the community as waste producers in addressing waste issues must be continuously enhanced. Independent waste management is one of the frequently proposed solutions. This program is supported by an overarching program called the waste bank. The existence of the waste bank must be accompanied by a high level of community participation. However, the lack of community access to the waste bank needs attention. Accordingly, this community service program will provide inorganic waste bins to increase community participation in managing inorganic waste while supporting the role of the waste bank. There are two main activities in this program: the design and production of inorganic waste bins, and the community education of household waste management. This community service collaborates with the waste bank located in Muja-Muju, Yogyakarta, targeting the campus area of the Faculty of Engineering at UST and the community on Miliran Street. This initiative also involves cooperation between the campus and the bank in institutional-scale waste management.
Optimizing inventory policy to mitigate stockouts during the COVID-19 pandemic: a case study of a pharmacy in Riau, Indonesia Puspitasari, Fransiska Hernina; Chandra, Wilbert; Kartika Dewa, Parama; Bayu Kurniawan, V Reza
OPSI Vol 16, No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.11236

Abstract

This paper studies on proposed inventory policy at a well-known pharmacy in Riau Province, Indonesia. Pharmacy X often experiences stockouts, especially during the critical period of the COVID-19 pandemic. These stockouts lead to lost sales. The Q and P inventory models are used to determine the optimal order quantity and order period using several simulation scenarios. Storage capacity and the ability of suppliers to supply drugs are constraints in this study. However, only 7 SKUs that often run out will be examined. The purpose of this paper is to minimize the shortage level of the SKUs using a parameter of shortage costs. After simulation, it was proven there was a decrease in the shortage costs in each SKU compared to the actual state. The reduction reached 23% - 74%. 
MCDM Approach for Evaluating Salespeople in Traditional Markets: A Case Study in an Indonesian Grocery Store Gilang Prasetyo, Wahyu; Kurniawan, V. Reza Bayu; Kusmendar, Kusmendar; Rahmawati, Titik; Yulia Sari, Eka; Priyanto, Agung
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 1 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

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

Abstract

In the current business activities characterized by technological integration, the role of salespeople remains crucial as the frontline in enhancing product sales. Due to their contribution, it is imperative for companies to evaluate their performance. This research proposes an evaluation model for salespersons using a multiple-criteria decision-making (MCDM) approach. Two MCDM methods, namely fuzzy AHP and EDAS, are employed to determine the weight of evaluation criteria and rank 13 salespersons in a grocery store situated in an Indonesian traditional market. This study considers seven criteria: revenue (C1), honesty (C2), communication skills (C3), empathy (C4), extensive relationships (C5), work motivation (C6), and responsibility and discipline (C7). Using fuzzy AHP, criteria C2, C6, and C3 are identified as the main priority. Subsequently, the criteria weights are integrated into the EDAS calculation to rank the 13 salespersons. Salesmen SP2, SP3, and SP6 emerge as the top performers. This research provides an applicable evaluation model for decision-makers in the store, enabling them to assess their salespeople not solely based on quantitative output but also considering other criteria that may have a lasting impact. Keywords: EDAS, evaluation performance, fuzzy AHP, salespeople
Proses Pengambilan Keputusan Bantuan Beasiswa SEHATI di Yayasan Senyum Kita dengan Metode DEMATEL dan F-AHP Syahruni, Aenun; Kurniawan, V. Reza Bayu; Ma’arif, Syamsul
Go-Integratif : Jurnal Teknik Sistem dan Industri Vol. 5 No. 01 (2024): Go-Integratif : Jurnal Teknik Sistem dan Industri
Publisher : Engineering Faculty at Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/gijtsi.v5i01.11386

Abstract

The decision-making process for selecting recipients of the SEHATI Scholarship by the Yayasan Senyum Kita frequently faces challenges in ensuring transparency and fairness. This study aims to enhance the decision-making system by applying the DEMATEL (Decision Making Trial and Evaluation Laboratory) and F-AHP (Fuzzy Analytic Hierarchy Process) methods. The research involved 20 children for the 2023/2024 academic year during the odd semester, examining three main criteria: parental income (K1), orphan status (K2), and disability (K3). Results from both methods indicated that the K2 criterion dominates the selection process. The DEMATEL analysis revealed that K2 has the most significant influence on decision-making, while F-AHP confirmed this influence by assigning it the highest weight of 0.37 out of 1.00. Furthermore, both methods suggested a nearly identical number of qualified children, with DEMATEL identifying 11 and F-AHP 10. The application of DEMATEL and F-AHP successfully increased transparency and objectivity in the selection process and recommended a more systematic framework for evaluating scholarship eligibility.
Green-based supplier selection using BWM and VIKOR methods in the Indonesian manufacturing sector Alkolid, Yudam; Kurniawan, V. Reza Bayu; Ma'arif, Syamsul; Zaibidi, Nerda Zura; Othman, Norfaridatul Akmaliah
Journal of Engineering and Applied Technology Vol. 4 No. 2 (2023): (August)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jeatech.v4i2.62852

Abstract

The selection of green-based suppliers remains a challenge for manufacturing firms in Indonesia. In today's business landscape, it is crucial to consider green aspects as part of sustainability practices when choosing suppliers. However, there is a limited number of studies providing frameworks for selecting suppliers based on green factors, particularly in developing countries. This study aimed to propose a framework for selecting suppliers using multicriteria decision-making (MCDM) techniques. A case study was conducted in an Indonesian metal manufacturing company that considers carbon reduction and incorporates traditional supplier selection factors such as quality, cost, and capacity. The study integrated two MCDM techniques, namely the best-worst method (BWM) and Višekriterijumsko Kompromisno Rangiranje (VIKOR), to evaluate and select green-based suppliers. BWM was employed to determine the weights of the criteria, while VIKOR ranked the suppliers. Seven criteria were identified, including cost (C1), quality (C2), delivery time (C3), technology application (C4), compliance with environmental regulations (C5), green practice certification (C6), and green efforts (C7). Nine suppliers were screened and ranked accordingly. The results indicate that quality, delivery time, and cost are the top three ranked criteria based on their importance. Further, this study includes nine suppliers in which supplier S7 demonstrates the best performance compared to the others. This study highlights that in Indonesia, most organizations tend to prioritize traditional criteria, while green factors are still overlooked. However, the company examined in this study has taken the initiative to include environmental factors in its decision-making process. The findings of this study contribute to the development of a framework for selecting green suppliers in a developing country context.
ANALISIS IMPLEMENTASI PRINSIP KERJA 5S (SEIRI, SEITON, SEISO, SEIKETSU, SHITSUKE) UNTUK MENINGKATKAN EFISIENSI PROSES PRODUKSI DI CV DESCHINO SPORT Munir, Rizki Rijal; Kurniawan, V. Reza Bayu; Ma'arif, Syamsul; Stighfarrinata, Rizky
Journal of Industrial Engineering and Technology Vol 4, No 1 (2023): Desember 2023
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/jointech.v4i1.11708

Abstract

Perkembangan teknologi produksi yang pesat menuntut peningkatan efisiensi dan efektivitas di berbagai industri. Oleh karena itu, penelitian ini bertujuan untuk menerapkan metode 5S dan analisis Six Big Losses di pon atom guna mengatasi "Reduce Speed Losses" yang menjadi faktor utama penyebab kerugian waktu dalam proses produksi. Pendekatan kualitatif digunakan melalui penggalian data historis dan observasi langsung di CV. Deschino Sport. Analisis Six Big Losses dan Diagram Fishbone diimplementasikan untuk mengidentifikasi penyebab penurunan kecepatan produksi. Hasil penelitian menunjukkan bahwa "Reduce Speed Losses" mencapai 40% dari Total Time Losses, dengan faktor manusia, material, mesin, metode, dan lingkungan sebagai penyebab utama. Usulan perbaikan dengan pendekatan 5W+1H, termasuk tindakan preventif untuk mesin, perbaikan SOP, optimalisasi penempatan bahan baku, dan penyesuaian lingkungan. Kesimpulan dari penelitian ini adalah implementasi metode 5S dan analisis Six Big Losses memberikan peluang perbaikan yang signifikan untuk meningkatkan efisiensi produksi di pon atom dengan fokus pada SOP, kesadaran operator, penempatan bahan baku, dan kondisi lingkungan. Penelitian lebih lanjut diharapkan dapat menghasilkan solusi yang lebih spesifik untuk meningkatkan kinerja sistem produksi.
Developing a Predictive Model to Evaluate Factors Influencing the Success of a Livestock Business in Indonesia V. Reza Bayu Kurniawan; Retno Widiastuti; Syamsul Ma'arif; Dina Yulina Heriyani; Endil Linggi; Yudhistira Wahyu Septianto
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4770

Abstract

The increasing population in several countries, including Indonesia, leads to a heightened demand for food, a significant portion of which comes from animal sources. Various efforts have been made by different parties to meet the soaring demand for animal meat. Although there is a growing trend of individually managed livestock enterprises, failure risks are frequent, often resulting in suboptimal economic outcomes. Accordingly, this study aims to evaluate the factors influencing the success of livestock businesses. Furthermore, this research also intends to develop a mathematical model to predict potential profits, taking these factors into account. The framework is developed based on the analytic hierarchy process (AHP) and multiple linear regression (MLR). This proposed framework is demonstrated in a pig farming business located in Wamena, Papua, Indonesia. The results indicate that out of six identified criteria, four are most significant in affecting livestock success: culture (C5), pig breed (C2), gender (C1), and physical condition (C4). Additionally, to build a mathematical model for predicting profits, a dataset comprising 44 combinations of sub-criteria has been constructed. The mathematical model shows a prediction capability of 84.3%, indicating very strong correlation. Although the livestock success evaluation model developed in this study is tested only on one type of livestock, the framework, in general, can be adopted for other types of business ventures.
Designing A Multi-item Product Inventory Policy to Reduce Stockouts on CV VLJ Fransiska Hernina Puspitasari; V. Reza Bayu Kurniawan; Trisna Yulianti
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4806

Abstract

CV VLJ is a distributor of mineral water and bottled water in Cilegon area, Indonesia selling various water brands and is supplied by four suppliers. CV VLJ often runs out of goods in the warehouse when consumers want to buy the goods they are looking for. As a result, consumers are disappointed and buy it at other distributors. This leads to lost sales. Therefore, this study aims to reduce the loss of sales and minimize the total inventory cost at each supplier. The determination of the order quantity and period is calculated using the EOQ, POQ, EOQ multi-item and multi-item EOI methods. The inventory total cost and lost sales can be calculated through the inventory table simulation. Based on the simulation results, sales losses can decrease by 88-99% for all four suppliers and total costs decrease by an average of around 33% compared to actual conditions.
A MATHEMATICAL MODEL FOR DELIVERY ZONE GROUPS BASED ON COURIER ASSIGNMENT OPTIMIZATION: A CASE STUDY IN A LOGISTICS SERVICE PROVIDER V. Reza Bayu Kurniawan; Fransiska Hernina Puspitasari
Spektrum Industri Vol. 18 No. 2: October 2020
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v18i2.17824

Abstract

Logistics service providers are the key stakeholder in Indonesian logistics activities that are growing significantly and face many challenges. In this research, a case study on a logistics service provider located in the city of Yogyakarta Indonesia is evaluated. The provider is currently experiencing rapid growth indicated by increasing delivery volume and scopes. However, optimal resource management has not been able to be adequately calculated, such as inefficient courier assignment and overloaded couriers' volume. Thus, this study aims to minimize total distances through optimal zone groups under several restrictions. An optimization approach is selected in this research by initially building a mathematical model using a standard form of linear programming. Then, the mathematical model is solved to generate minimum distances. The result indicated that the total minimum distances had been reached with considerable changes in delivery zone grouping, and the couriers' capacity was optimally utilized without overloaded capacity. These zone groups can be used as a reference for further research by taking into account some restrictions such as packages fluctuations as well as adding objective to minimize couriers' traveling time.