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All Journal SPEKTRUM INDUSTRI OPSI Journal Industrial Servicess SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi Abdimas Dewantara Jurnal Sosial Ekonomi Pekerjaan Umum Jurnal Pengabdian Masyarakat IPTEKS Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah G-Tech : Jurnal Teknologi Terapan Jurnal Teknik Industri Terintegrasi (JUTIN) IEJST (Industrial Engineering Journal of the University of Sarjanawiyata Tamansiswa) Industrika : Jurnal Ilmiah Teknik Industri Journal of Engineering and Applied Technology Journal of Industial Engineering and Technology Go-Integratif : Jurnal Teknik Sistem dan Industri Asian Journal of Community Services (AJCS) JURNAL TEKNIK INDUSTRI Journal of Sustainable Community Service
V. Reza Bayu Kurniawan
Department Of Industrial Engineering Universitas Sarjanawiyata Tamansiswa
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

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Journal : G-Tech : Jurnal Teknologi Terapan

 1 
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.
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.
Co-Authors Adi Kristianto Agung Priyanto Agung Priyanto Alkolid, Yudam Bashir, Sibgha Buntoro Irawan Chandra, Wilbert Dewa, Parama Kartika Dewi Sulistyorini, Dewi Dian Tiara Rezalti Dina Yulina Heriyani Diyan Dewana Jaya Dwi Susanto Dwi Wijayanti Dyah Ari Susanti Eka Yulia Sari Elly Wuryaningtyas Yunitasari Emmy Nurhayati Endil Linggi Fransiska Hernina Puspitasari Fransiska Hernina Puspitasari Gilang Prasetyo, Wahyu Gutama, Detha Sekar Langit Wahyu Heston, Yudha Pracastino Indah Kurniasih Kusmendar, Kusmendar Ma'arif, Syamsul Mantolas, Herlina Munir, Rizki Rijal Nerda Zura Zaibidi Othman, Norfaridatul Akmaliah Pasaribu, Wandoni Purnomo, Haryo Puspitasari, Fransiska Hernina Quế-Nhu, Dương Retno Widiastuti Rizbudipriyana, Andhika Luthfi Rizky Stighfarrinata Saputra, Bagas Aji Sri Hermuningsih Syahruni, Aenun Syamsul Ma’arif Titik Rahmawati Trisna Yulianti Trisna Yulianti Trisna Yulianti Wibowo, Robertus Anggi Candra Widyasani, Chitra Yohanes Kapistrano Bala Tukan Yudhistira Wahyu Septianto