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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 Teknosains : Jurnal Sains,Teknologi dan Informatika Jurnal Jaring SainTek Journal Industrial Manufacturing ETNIK : Jurnal Ekonomi dan Teknik Journal of Engineering Environtmental Energy and Science Blend Sains Jurnal Teknik ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH JURNAL TEKNIK INDUSTRI JEBIMAN: Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi Jurnal Salome: Multidisipliner Keilmuan JK Jurnal Kesehatan Proceeding Mercu Buana Conference on Industrial Engineering HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Ekonomi dan Bisnis Kohesi: Jurnal Sains dan Teknologi Jurnal Ilmiah Mahasiswa Sistem Informasi dan Komputer Akuntansi (JIMASIKA) Nusantara Journal of Multidisciplinary Science INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) Jurnal Inovasi Global
Paduloh Paduloh
Fakutas Teknik, Jurusan Teknik Industri, Universitas Bhayangkara Jakarta Raya
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FLOOD MANAGEMENT SYSTEM USING A SOUND SENSOR ARDUINO BASED Nazwan Putera Prayuda; Aditya Putra Firmansyah; Rafly Septia Sandy; Paduloh , Paduloh
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 1 (2024): JANUARY
Publisher : Adisam Publisher

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Abstract

Natural disasters are events that arise due to careless human actions. Natural disasters such as floods cause a lot of material or psychological losses. Floods often cause people to lose their homes, livelihoods, and even cause trauma due to the loss of family members. So we must prevent floods from occurring in order to achieve a safe and peaceful life. In this research, a Sound Sensor was used as a detection tool combined with the Arduino Water Level System so that the movement of water flow can be seen, especially in areas that are prone to flooding. The results of this research showed that there was a low scale with a small sound on the red light, then there was a medium scale with a medium sound on the green light, and also a high scale with a large sound on the blue light.
APPLICATION OF AUTOMATIC WATERING SYSTEM BASED ON SOIL MOISTURE SENSOR FOR BONSAI PLANTS Abu Ridho Al-amin; Slamet Nugraha; Rifqi Iman; Paduloh , Paduloh
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 1 (2024): JANUARY
Publisher : Adisam Publisher

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Abstract

Bonsai plants, with their distinctive beauty and aesthetic value, have become an attraction for plant lovers in Indonesia. However, proper maintenance, especially watering, can be a challenge for many bonsai owners. In an effort to facilitate more efficient and effective maintenance, this research aims to develop an affordable and accessible soil moisture sensor-based automatic watering system. The research method includes an in-depth literature review of existing soil moisture sensor technologies and the growth characteristics of bonsai plants. Next, we designed and built a prototype watering system that can monitor soil moisture levels and automatically water bonsai plants according to their needs. Initial test results show that the system is able to maintain optimal soil conditions for bonsai plant growth. The system is also equipped with programming capabilities that allow users to customize the watering schedule according to their personal preferences. This research aims to provide a practical solution for bonsai plant lovers in Indonesia who want to maintain proper soil conditions for the growth of their plants, while minimizing the costs required for an automated watering system. This paper is expected to make a positive contribution to the maintenance of bonsai plants and serve as a guide for those interested in developing similar systems in the context of urban agriculture in Indonesia.
USE OF ULTRASONIC SENSOR BY DETECTING VEHICLE SAFE DISTANCE BASED ON ARDUINO UNO Gregorius Advent Trisman Gaurifa; Muhammad Hanif Hidayatulloh; Paduloh , Paduloh
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 1 (2024): JANUARY
Publisher : Adisam Publisher

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Abstract

With the rapid growth of vehicles, improving road safety has become a necessity. Ultrasonic sensors provide an effective and efficient solution for measuring distance on vehicles, which can be implemented to improve traffic safety. Therefore, we need a system that can detect the distance between vehicles to make it safer. One way to detect a vehicle's safe distance is to use an ultrasonic sensor. An ultrasonic sensor is a tool that can detect a safe distance to a vehicle. This system is designed as an integration between Arduino Uno, ultrasonic sensors, and data processing algorithms. The Arduino Uno program was developed to control ultrasonic sensors, read distance data, and send alerts if potential risks are found. The implementation of the ultrasonic sensor on the Arduino Uno succeeded in proving its ability to detect safe distances between vehicles with high accuracy. By using the right algorithm, the system can provide early warning when a potential risk of collision is detected. Test results show a fast and reliable response from the system This research confirms the effectiveness of Arduino Uno-based ultrasonic sensors in improving traffic safety by detecting safe distances between vehicles.
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
ANALISIS PENGENDALIAN PERSEDIAAN PARFUM AMBU DENGAN MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY Daffa Maulana Asviara; Abizard Haykal; Aji Dewa Abdullah; Paduloh, Paduloh
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 2 No. 1 (2024): Januari
Publisher : ADISAM PUBLISHER

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Abstract

The Economic Order Quantity research method aims to be used when achieving inventory levels at minimum cost and better quality. This research method is carried out in stages, with several stages that must be carried out including the preparation part, data collection, data processing, data analysis, discussion of research, and sources of material from books and the internet. With the results obtained Raw Material Purchase Frequency F = 18. So, the frequency of purchasing raw materials is carried out 18 times in one year.
ANALISIS PERHITUNGAN HARGA POKOK TEMPE KEDELAI MEMAKAI METODE FULL COSTING Teuku Alfiansyah; Ahmad Septian; Rijal Anjani; Paduloh, Paduloh
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 2 No. 1 (2024): Januari
Publisher : ADISAM PUBLISHER

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Abstract

Calculating production costs through a full costing procedure is considered to be a step that is very much in line with business studies because this procedure carefully covers all budget aspects that play a role in the production process. The essence of this research is an effort to observe and reflect on the comparison between estimated production costs through full costing calculations and detailed components of the soybean tempeh production budget. Related to this exploration, the findings show that the cost of production which is explained in detail in the full costing procedure shows an increasingly higher figure when compared to the production costs calculated using the basic Soy Tempe procedure.
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.
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 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