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All Journal Jurnal Teknologi Industri Pertanian J@TI (TEKNIK INDUSTRI) Jurnal Teknik Journal of Engineering and Management in Industrial System Jurnal Ilmiah Teknik Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri JMM (Jurnal Masyarakat Mandiri) JURNAL REKAYASA SISTEM INDUSTRI International Journal of Supply Chain Management ComTech: Computer, Mathematics and Engineering Applications Journal of Engineering and Scientific Research (JESR) Jurnal Optimalisasi Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Jurnal Rekayasa Lingkungan Jurnal Jaring SainTek Journal Industrial Manufacturing ETNIK : Jurnal Ekonomi dan Teknik Journal of Engineering Environtmental Energy and Science Blend Sains Jurnal Teknik JURNAL TEKNIK INDUSTRI Proceeding Mercu Buana Conference on Industrial Engineering Scientica: Jurnal Ilmiah Sains dan Teknologi Kohesi: Jurnal Sains dan Teknologi Jurnal Ilmiah Mahasiswa Sistem Informasi dan Komputer Akuntansi (JIMASIKA) Nusantara Journal of Multidisciplinary Science Jurnal Inovasi Global Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi (JEBIMAN) Jurnal Salome (Multidisipliner Keilmuan)
Paduloh Paduloh
Fakutas Teknik, Jurusan Teknik Industri, Universitas Bhayangkara Jakarta Raya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Optimization of Delivery Cost on Reverse Logistic for Product Claim in the Two-Wheel Vehicle Industry Paduloh, Paduloh; Mayana, Tiswy
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21469

Abstract

Product returns are one of the obstacles faced by two-wheeled motor vehicle industry companies in Indonesia, where the company's head office is based in Japan. The obstacle faced is the excess cost of shipping product claims compared to the planned cost budget. These products are replacement parts for CBU (completely built-up) units for two-wheeled motor vehicles exported to Japan. This case will be solved using reverse logistics, where the initial analysis is carried out by finding the value of the bullwhip effect on the company's orders and requests. The next stage is forecasting for the next period using the ARIMA method using Rstudio. The results showed the occurrence of a bullwhip effect, and then the best result was the ARIMA model (0,1,3) (2,1,0). The value of the bullwhip effect managed to decrease by applying the forecasting model. Then optimizing the shipping cost of claim products processed by LINGO results in a 5% reduction in shipping costs from the budget.
Perbaikan Model Peramalan dan Model Persediaan Reagen Kimia di PT. OPQ Untuk Mendapatkan Persediaan Optimum Paduloh, Paduloh; Puspaningrum, Yunita; Yunita, Ika
Proceeding Mercu Buana Conference on Industrial Engineering Vol 3 (2021): RESEARCH DEVELOPMENT BASED ON LITERATURE REVIEW
Publisher : Universitas Mercu Buana

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Abstract

Performing forecasts accurately and have optimal supplies are very urgent demands for most industries today. PT OPQ is a company engaged in the pharmaceutical industry. This industry produces medicines for both OTC (Over Counter), ethical (prescription drugs), and generics. At PT OPQ, the inventory method for chemical reagents that have been carried out is straightforward; each year only adds a certain quantity from the previous year. This method proved to be less effective and efficient because the use of chemical reagents was not certain, which resulted in the chemical reagent stock experiencing advantages and disadvantages as seen from the stock on hand. This research aims to assist companies in determining the amount of chemical reagent usage and controlling chemical reagent supplies optimally. The method used is forecasting with the ARIMA model; after obtaining the forecasting results, calculations are carried out to obtain optimal inventory results, namely the EOQ method. In this study, a differencing process was also carried out so that the data used were stationary. The study results obtained a forecasting model that is close to the actual conditions in the field. This study also produces an ideal safety stock for the company. The results of calculations using the EOQ method are proven to be far more optimal than the method previously applied by the company
ANALYSIS OF PRODUCTIVITY BASED ON KPI CASE STUDY AUTOMOTIVE PAINT INDUSTRY Paduloh, Paduloh
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 1 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

The research was aimed to measure and analyze productivity in production department at Paint Industry for Automotive, the criteria used  are Quantity of production, number of sales, stock of raw materials, bad stock, electricity usage, loss production, machine breakdown, overtime hours, product stock productivity and Productivity of washing solvent usage. Data was obtained based on questionnaires and company data, the analysis was carried out using Objective Matrix Method and Company Key Performance Indicator to determine the level of company productivity. The results showed that the productivity of the company was low and unstable. Production productivity was the highest productivity but this productivity was not in accordance with the productivity conditions of other companies such as sales, raw material usage, labor, electricity usage, machine breakdown, and bad stock. Another highly contradictory productivity is the amount of overtime production numbers are not following the increase in the quantity of production. When production productivity rose, the productivity of other supporters decreased. These contradictory conditions indicate that the productivity of the quantity of production can still continue to be improved with make stronger controls for other support activities in line production.
ANALYSIS AND COMPARING FORECASTING RESULTS USING TIME SERIES METHOD TO PREDICT SALES DEMAND ON COVID-19 PANDEMIC ERA Paduloh, Paduloh; Ustari, Abdul
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/10.21776/ub.jemis.2022.010.01.4

Abstract

The Covid-19 pandemic has made uncertainty in demand very high; there have been many changes in demand due to changes in the market and people's buying methods. So that forecasting accuracy is significant for every industry, at least the forecast that is closest to the conditions faced by the company so that the company does not lose money due to forecasting errors. Time series is a widely used model for forecasting using past data. This study aims to minimize forecasting errors by analyzing which demand forecasting model is most suitable for demand conditions based on historical data on demand for masterbatch products. The method used in this study is a time series model, which consists of the season naive method, holt exponential smoothing, exponential triple smoothing, and autoregressive integrated moving average (ARIMA). Data processing is done using Rstudio software. The results show that the ARIMA method (2,1,0) (1,1,0) is the best because it has the smallest error rate value with case studies and exact data; the standard error size values used are ME, RMSE, MAE, MPE, MAPE, MASE, and ACF1. This study analyzes forecasting during the Covid-19 pandemic using time series and compares them to find the best results. Then the results of this study can be used as a reference by companies and researchers in determining the model used to make forecasts.
Monitoring Viscosity of Polymer Products on the Reactor Tank Using IoT-based NodeMCU Paduloh, Paduloh
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 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.25.1.53-64

Abstract

Viscosity is one of the critical parameters for polymer products; thus, monitoring the viscosity level is very important to know during the production process and production results. The Polymer Company recently suffered heavy losses due to an explosion in one of its reactor engines, the R306 engine. The investigation results show that the viscosity of the polymer is one of the causes of the heavy workload of the machine, when the viscosity is checked manually. This research was conducted based on these conditions, and a viscosity monitoring device was designed for the 306-tank product. The design used QFD visualization for product design and UML for information system design. In this study, polymer viscosity was measured using the falling ball method with an Infrared Sensor E18-D80NK to obtain the viscosity of polymer products. Viscosity data are configured directly with the Internet of Things using the NodeMCU microcontroller. The design results show that the tool can monitor the viscosity in the tank and provide polymer viscosity information in real-time, thus facilitating decision-making and increasing productivity.
PEMBARUAN PEMASARAN TERHADAP VOLUME PENJUALAN PRODUK AYAM PEDAGANG DI KOTA BEKASI Paduloh Paduloh; Andika Maulana, Farrel Ihsan Aditya, Dwi Hardiyana Saputra, Teguh Prasetyo
JEBIMAN : Jurnal Ekonomi, Bisnis, Managemen dan Akuntansi Vol. 2 No. 1 (2024): JEBIMAN: Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

The aim of this research is to analyze the impact of the marketing mix. The design of this research is a cross-sectional study with a sample size of four groups, which were taken randomly using the exchange sampling method. Data collection was carried out through observation, interviews and questionnaires. Chi-square test and linear regression were used to analyze the data. Linear regression to find the most influential independent variable. This study found that there were three influential variables: product marketing mix (p = 0.032), price (p = 0.001), and product distribution (p = 0.020), with price having the largest impact on sales. Sig (p) = 0.010 (beta = 0.282). Traders are expected to further improve the marketing mix of broiler chicken products in terms of aspects (product, price and distribution) so that chicken sales can be increased. Traders need to make more careful considerations, such as determining selling prices, prices imposed by competitors and costs incurred in connection with efforts to increase sales
ANALISIS KUALITAS PRODUK KRIPIK SINGKONG Paduloh Paduloh; M. Idrus Satria; Ega Jerilian
Jurnal Salome : Multidisipliner Keilmuan Vol. 2 No. 1 (2024): Jurnal Salome: Multidisipliner Keilmuan
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

One effort to increase agricultural yields from cassava or cassava ingredients is to process them into various kinds of preparations, one of which is cassava chips. There are many MSMEs that produce cassava chips as a business, this can result in an increase in the selling value of the cassava or cassava plants. . In order for the value of sales of cassava chips to increase, it is necessary to improve the quality of the cassava chip products. The increase in cassava chips can result in increased satisfaction from consumers who buy the cassava chips product. This can ultimately have an impact in terms of increasing sales of cassava chips. Increasing sales of cassava chips can provide benefits for MSMEs and can increase the selling power of cassava sendırı or cassava chips.
TEMPERATURE AND HUMIDITY INSTRUMENTATION PRACTICUM REPORT USING ARDUINO WITH DHT 11 SENSOR Yosafat Cauvain; Tito Aviandi; Paduloh Paduloh
Jurnal Salome : Multidisipliner Keilmuan Vol. 2 No. 2 (2024): Jurnal Salome: Multidisipliner Keilmuan
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

The extreme temperatures that occur in Indonesia mean that we must always maintain room temperature which has an effect on body temperature. A room temperature that is too high will cause the body to release a lot of fluids which can result in dehydration, while a body temperature that is too low can make it difficult for the body to move and make the body stiff. Therefore, in this study the aim is to create an automatic room temperature accompanied by humidity. The room is equipped with an Arduino which functions like a thermometer. In this practicum, it is about temperature and humidity instrumentation using the DH11 sensor. The components used are the DHT11 sensor, Arduino Uno, jumper cables and others. Data taken during the practicum this is 3 pieces of data. This test also produces output, namely DHT 11 and a laptop to display the output results via the Arduino module. Sensor output is displayed in real time. To display the temperature in this Arduino sketch, you can open it in the Arduino IDE application
Co-Authors Abbas Adika, Muhammad Abdul Nasar Abdul Ustari Abi Fadilah Abi Maulana Sugiartono Abil Rifai Abizard Haykal Abu Ridho Al-amin Achmad Firdias I Achmad Mahardika Dwi Anda Putra Prasetio Achmad Yasril Adham firmansyah Adimas Lizaldi Rafli Aditia Fajar D Aditya Nugroho, Angga Aditya Putra Firmansyah Adli lesmana Agung Listianto Ahmad Septian Aji Dewa Abdullah Akbar Adjie Pratama Al Gifari Abdullah, Qeis Al Habib Galih Siswoyo Aldy Putra Puji Siswoko Alfahtina, Muhamad Galih Alfin Prahadi, Muhammad Alvaro Farrell Wijaya Alwi Sihab Alwi Zidan Ammar Wildan Andhika Rifqy Andi Setiawan Andi Setiawan Andien Putri Aullia Andika Maulana Andika Maulana, Farrel Ihsan Aditya, Dwi Hardiyana Saputra, Teguh Prasetyo Andre Satrio Trihantono Angga Aditya Nugroho Angga Wicaksana Anggito Abimanyu Anggun Nur Azizah Arief Budiman Arif Bentar Suganda Heriyanto Ario Muhammad Ikhsan Arista Binarsih Armando, Yosi Aron Micael Tambunan Arya Hadid Pangestu Arya Permana Sadewa Awaludin Fahriyansyah Bagus Oktavian Banly Aguchino Benaya Zaqi Sumantri Bintang Pramudya Christian Tomi Adji Cindy Sulistiawati Daffa Habibie Sumantry Daffa Maulana Asviara Danang Dhivari Davanosha Ayuta Putra Denny Wibisono Deny Wibisono Desi Annisa Fadilah Dhandy Hendra Pratama Dhian Ibrah Prayogo Dias Cahya Saputra Difa Assallam Rizky Maulana Dimas Fadli Devani Dinda Mefia Dwi Hardiyana Saputra Dyani Kalyana Mitta Edy Waluyo Ega Fauzi, Dwiali Ega Jerilian Erlandi Putra Tri Adira Erliza Hambali Erwan Naibaho Fachry Abda El Rahman Fadilah, Abi Fadzell Auraffa Ahmad Faiq Rizqi Setiawan Fajar Dwi Aryan Saputra Fajar Muhammad Fakhri Nur Faishal Farel Athaya Yulian Farell Muhammad Dava Fariz Dinata Faridhi Farrel Ihsan Aditya Fathan Abdullah Putranto Fiorenza Vania Seubelan Fiqih Assidiq Ramadhan Firmansyah, Rafli Nur Frans Destri Bintang S Galih Ahmad Zaidan Galih Haikal Pratama Gilang Adel Kuswara Gilang Ramadhan Gilang Risyadhi Gregorius Advent Trisman Gaurifa Gufron Fauzan Hadid Pangestu, Arya Hagi Vander Khan Hanifsa Putra Hauzan Abbad Muzakki Hawa Minriyadhil Jannah Helena Sitorus, Helena Hidayat Humiras Hardi Purba Ifnu Nur Hidayat Ilham Cahya Nugraha Iqbal Apriza Iqbal Naufal Irfan Nur Arif iskandar zulkarnaen Iskandar Zulkarnaen Iskandar Zulkarnaen Jasan Supratman Jayawarsa, A.A. Ketut Jovanka Alif Wiyata Kelvin Setyawan Khoirul Hidayat Kholid Darwinto M. Afnan Fadilah M. Fadli Pratama M. Idrus Satria Malita Aveline Mario Bintang Saputra Martono Martono Martua Nehemia Sebastian Mayana, Tiswy Michael Saputra Sembiring Mochammad Rifan Arkaan Mohammad Zainal Mustofa Monifa Geraldin Tambunan Muhamad Arkan Deni Friansiah Muhamad Fadillah Muhamad Ikhtiar Raihan Ismail Muhamad Rifqi Muhamad Rizki Aditia MUHAMMAD ARIFIN Muhammad Bimo Ferlyando Muhammad Daffa Muhammad Dhani Al Farizhi Muhammad Farikh Hidayat Julio Muhammad Fawwaz Izza Muhammad ferdiansyah dwi rizky Muhammad Hanif Hidayatulloh Muhammad Ibnu Dwi Rizaldy Muhammad Irsyaad Athoilah Muhammad Khairil Ihsan Muhammad Luthfi Muhammad Maulana Ilham Muhammad Naufal Ramadhan Muhammad Nur Hidayat Muhammad Rihan Alfiyanto Muhammad Sadam Chairul Ichwan Muhammad Syahrul Romadhon Muhammad Teguh Andriansyah Muhendra, Rifki Mukti, Ayub Trisna Murhaban Muslich . Muslich Muslich Muslich Muslich, Muslich Nabilatusolihah, N Najwa Nayra Aulia Nasywa Shafa Azzahra Naufal Nugraha Nazwan Putera Prayuda Nur Azizah, Anggun Nurwijayanti Oryza Pratama Prasetyo, Nanda Bayu Prasetyo, Ridwan Pujo Iswahyudi Purnomo, Rakhmat Puspaningrum, Yunita Putra Bagus Putra Bagus Nugroho Qeis Al Gifari Abdullah Qoidar Al Uzhma Raffary Aqilla Rafly Septia Sandy Rahman, Taufik Abdul rahmat fauzan Raihan Gading Rabbani Raihan Lutfan Kariswandana Raihan Nuraditya Pratama Rakhmat Purnomo Rangga Bayu Ramadhan Ratih kumalasari Rendy Rusdiyanto Rian Padkur Rohman Ribi Anggraini Ridwan Prasetyo Rifda Ilahy Rosihan Rifda Ilahy Rosihan Rifda Ilahy Rosihan Rifki Muhendra4 Muhendra Rifky Tri Nugroho Rifqi Iman Rijal Anjani Rivaldi Rasqi Al Zahabi Rizki Nur Wakhid Rizky Arya S Rizky Firmansyah Rizky, Adrian Rizqy Riansyah Rosikin Agus Priandana Ruiz Anggie Ryuken Sabni Gilang Permana Sahrul Juniar Arfan Salsabila, Annisa Ayu Saputra, Raka Rossian Satria Wahyu Pradana Septian Yofinaldi Setiyawan, Alan Siswoyo, Al Habib Galih Slamet Nugraha Sofyan Fajar Maulana Solihin Solihin Solihin Suci Trisa Kartika Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Sulthon Muammar S Sumanto Sumanto Sutiawan, Hedi Syarif Hidayatulloh T Djatna Taufik Abdul Rahman Taufik Djatna Teguh Prasetryo Teguh Prasetyo Teuku Alfiansyah Thoriq, Muhammad Tito Aviandi Ustari, Abdul Vardian Giovanni Warniningsih, Warniningsih Wibisono, Denny widya spalanzani Widyantoro, Murwan Wiyata, Jovanka Alif Yayan Saputra Yehezkiel Kharisma Yonatan Yesta Sadha Syahputra Yogi Muhammad Ilham Yonatan, Yehezkiel Kharisma Yosafat Cauvain Yosi Armando Yossie Saputra Yunita, Ika Yuri Delano Regent Montororing Zulham Ilyas