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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Pertanian Indonesia Jurnal Ilmiah Teknik Industri International Journal of Artificial Intelligence Research Jurnal Sistem dan Manajemen Industri Journal of Industrial Engineering Management JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal INTECH Teknik Industri Universitas Serang Raya Jurnal Logistik Indonesia Jurnal Teknik Industri Terintegrasi (JUTIN) Economics and Digital Business Review JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Indonesian Journal of Industrial Engineering & Management Jurnal Sains Indonesia Go-Integratif : Jurnal Teknik Sistem dan Industri Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Jurnal Pengabdian Masyarakat Bhinneka The Journal Of English Teaching For Young And Adult Learners
Sesar Husen Santosa
College Of Vocational Studies, IPB University
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Transportation Veterinary Other

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MODEL PENENTUAN JUMLAH PESANAN PADA AKTIFITAS SUPPLY CHAIN TELUR AYAM MENGGUNAKAN FUZZY LOGIC Santosa, Sesar Husen; Hidayat, Agung Prayudha
Jurnal Ilmiah Teknik Industri Vol. 18, No. 2, Desember 2019
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i2.8486

Abstract

This study aims to present a fuzzy logic approach in the modeling of optimal order quantities of chicken eggs to suppliers. Determination of the number of egg orders using fuzzy logic by considering the condition of supply and demand so that the number of eggs ordered by Agent eggs is optimal so that the amount of stock in the warehouse is reduced. The variables used in developing the fuzzy set model are the price of eggs/crates, the composition of the weight of eggs in the crates, and the amount of stock of eggs in the warehouse at the time of ordering. The membership set for egg ordering uses the Triangular and Trapezoidal membership functions. The fuzzy set model produced in this study can be used as a tool for decision making in determining the optimal number of egg orders to suppliers.
FUZZY LOGIC APPROACH TO DETERMINE THE OPTIMUM NUGGET PRODUCTION CAPACITY Santosa, Sesar Husen; Sulaeman, Suhendar; Hidayat, Agung Prayudha; Ardani, Ilham
Jurnal Ilmiah Teknik Industri Vol. 19, No. 1, June 2020
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i1.10295

Abstract

This research aimed to present the Fuzzy approach in determining the optimal production capacity of the Nugget Production. The Fuzzy Model was developed by using two membership sets; i.e. the Overall Equipment Effectiveness (OEE) variable membership set of the production machine and Nugget Demand Forecasting. Nugget demand forecasting uses an exponential smoothing method due to its time-series type of query history data. OEE values were calculated using Availability, Performance and Quality Yield. In the Fuzzy approach, the Forecasting Membership Set uses the Triangular Membership Function type, and the OEE Membership Set uses the Trapezoidal Membership Function type. The fuzzy set model produced can be used as a tool for the company in determining the value of the Optimal Capacity production so that demands can be fulfilled and the product stocks decrease.
SAFEA application design on determining the optimal order quantity of chicken eggs based on fuzzy logic Sesar Husen Santosa; Agung Prayudha Hidayat; Ridwan Siskandar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i4.pp858-871

Abstract

The availability of stock in the chicken egg supply chain is influenced by the ability of egg Agents to determine the optimal orders to suppliers. The optimal number of orders is very important to manage for the Bogor City Egg Agent Indonesia because the stock capacity reaches 340 crates. The optimal number of orders for eggs at the Egg Agent is influenced by input variables, namely final stock (crate), selling price (crate), and consumer demand (crate) so that the inventory is under control. The three input variables have fuzzy values that must be processed using fuzzy logic to get the optimal number of orders to suppliers so that the egg stock in the warehouse is well maintained. The optimal order model for eggs in the smart application for egg agent (SAFEA) was developed using a fuzzy logic approach with the triangular and trapezoidal membership function. Based on the optimal order model in the SAFEA application, the optimal order to the supplier is 100-104 crates per day.
Evaluation of Chicken Eggs Supply With Fuzzy AHP Approach Through Development of Safea Software Agung Prayudha Hidayat; Sesar Husen Santosa; Ridwan Siskandar; Ringga Gilang Baskoro
Jurnal Logistik Indonesia Vol 5, No 2: Oktober 2021
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v5i2.1881

Abstract

This study aims to evaluate the supply aspect of chicken eggs. The Variables used in this research were egg stock, egg demand, and selling prices with alternatives are adding suppliers, adding customers, reducing supplier. The method of this research using Fuzzy AHp where The membership sets of fuzzy model are Triangular and Trapezodial membership function. The results of the research indicate that the main priority as a decision support for the supply of chicken egss is the selling price to customer (0,67), so that the alternative priority option is the addition of suppliers (0,75) to anticipate imbalances between the number of eggs sold and stock availability in the warehouse.
Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model Ridwan Siskandar; Sesar Husen Santosa; Wiyoto Wiyoto; Billi Rifa Kusumah; Agung Prayudha Hidayat
Jurnal Ilmu Pertanian Indonesia Vol. 27 No. 1 (2022): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.27.1.141

Abstract

A greenhouse is an agricultural management system that has shown the efficiency of food production. This system is an effective alternative to ensure maximum production results. Agriculture with greenhouse technology can create the desired environmental/climatic conditions. The rapid development of technology and science has led to the birth of communication between devices using IoT and AI. This technology can be applied to greenhouses in agriculture and fisheries. Research on greenhouse and microcontroller-based automation systems has been carried out, and it is interesting to be developed. Researchers make a more efficient system and can increase the quality and quantity of production. The measurement data of both modes are monitored using the web. The greenhouse prototype is supported by DHT22, DS18B20, a fan to control the greenhouse cooler, RFID as the key access to the greenhouse. DHT22 & DS18B20 sensor readings in the prototype greenhouse use an AI system with the fuzzy method. IoT and AI have been successfully implemented in models of rice fields, hydroponic farming, and fisheries using automatic modes of RTC devices and sensors. The fuzzy approach method is used to find the optimum temperature and humidity values. The fuzzy approach was successfully carried out until the temperature and humidity conditions were "ideal," "high," and "very high." This condition provides information to the microcontroller to activate which fan should turn on. In manual mode, the smartphone application controls the system properly. Keywords: artificial intelegent, control and automation, fuzzy logic, greenhouse, IoT
Determination of Overall Equipment Efectiveness Superflex Machine Using Fuzzy Approach Sesar Husen Santosa; Suhendi Irawan; Ilham Ardani
International Journal of Artificial Intelligence Research Vol 4, No 2 (2020): December 2020
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.319 KB) | DOI: 10.29099/ijair.v4i2.142

Abstract

This study aimed to present a Fuzzy logic approach in determining the value of OEE Superflex machine for producing nuggets. The effectiveness value of Superflex machine in producing nugget raw materials was determined by calculating the Availability, Performance and Quality Yield values. Fuzzy approach in determining the value of OEE can be used because this approach is able to describe the value of the effectiveness of thr machines based on the condition of the company's actual capacities. The Fuzzy OEE approach uses the Trapezoidal Membership Association because the maximum value of the membership degree has more than one value in each parameter. The Fuzzy OEE value shows that Superflex machine had an OEE value with bad parameters so that the company has to improve its machine performance
Model Penentuan Jumlah Pesanan Pada Aktifitas Supply Chain Telur Ayam Menggunakan Fuzzy Logic Sesar Husen Santosa; Agung Prayudha Hidayat
Jurnal Ilmiah Teknik Industri Vol. 18, No. 2, Desember 2019
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i2.8486

Abstract

This study aims to present a fuzzy logic approach in the modeling of optimal order quantities of chicken eggs to suppliers. Determination of the number of egg orders using fuzzy logic by considering the condition of supply and demand so that the number of eggs ordered by Agent eggs is optimal so that the amount of stock in the warehouse is reduced. The variables used in developing the fuzzy set model are the price of eggs/crates, the composition of the weight of eggs in the crates, and the amount of stock of eggs in the warehouse at the time of ordering. The membership set for egg ordering uses the Triangular and Trapezoidal membership functions. The fuzzy set model produced in this study can be used as a tool for decision making in determining the optimal number of egg orders to suppliers.
Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity Sesar Husen Santosa; Suhendar Sulaeman; Agung Prayudha Hidayat; Ilham Ardani
Jurnal Ilmiah Teknik Industri Vol. 19, No. 1, June 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i1.10295

Abstract

This research aimed to present the Fuzzy approach in determining the optimal production capacity of the Nugget Production. The Fuzzy Model was developed by using two membership sets; i.e. the Overall Equipment Effectiveness (OEE) variable membership set of the production machine and Nugget Demand Forecasting. Nugget demand forecasting uses an exponential smoothing method due to its time-series type of query history data. OEE values were calculated using Availability, Performance and Quality Yield. In the Fuzzy approach, the Forecasting Membership Set uses the Triangular Membership Function type, and the OEE Membership Set uses the Trapezoidal Membership Function type. The fuzzy set model produced can be used as a tool for the company in determining the value of the Optimal Capacity production so that demands can be fulfilled and the product stocks decrease.
PENERAPAN REKAYASA MESIN SORTIR SEBAGAI PENENTU KEMATANGAN BUAH JERUK DAN TOMAT MERAH BERBASIS IMAGE PROCESSING Ridwan Siskandar; Noer A Indrawan; Billi Rifa Kusumah; Sesar Husen Santosa; Irmansyah Irmansyah; Irzaman Irzaman
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 9, No 3 (2020): September 2020
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v9i3.222-236

Abstract

The embedded systems in the industrial, especially image processing, is increasingly leading to the study of production automation systems such as fruit sorting. Post-harvest sorting system implemented by the industry is manual, so it’s not effective. The solution was to conduct research aimed at modifying post-harvest sorting tools by engineering tomato and orange sorting machines based on their color. The method uses image processing. It’s the most efficient alternative in terms of cost and complexity of hardware design, does not require many sensors, but produces an accurate output. The camera is placed on the mechanical sorting machine system, taking images to determine the sorting execution after the fruit color type are recognized. The results of the research were carried out through several tests, namely: light intensity, color image data, and organoleptics. Light intensity test showed that the position of the tool had a value of 0.78% of the outside light disturbance. Color image shows the range of ripeness values (R/G) for raw tomatoes 0<=1.04; half ripe tomatoes 1.04<=1.39; ripe tomatoes 1.39<=3.59; raw orange 0<=0.92; undercooked oranges 0.92<=0.98; and ripe oranges 0.98<=1.66. Organoleptic test from five observers had the same results as the reading on the fruit sorting tool. Keywords : engineering, fruit maturity, oranges, sorting machines, tomatoes
Raw material planning for tapioca flour production based on fuzzy logic approach: a case study Sesar Husen Santosa; Agung Prayudha Hidayat; Ridwan Siskandar
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.536 KB) | DOI: 10.30656/jsmi.v6i1.4594

Abstract

The availability of cassava raw materials influences tapioca flour production at small and medium industry's (SMIs) Bogor Regency. Cassava raw material is a crucial factor in producing cassava yields, affecting the amount of tapioca flour production. Planning for cassava raw material must be carried out properly because the quality and quantity of cassava must be maintained to achieve the tapioca flour production target. The results of forecasting the demand for tapioca flour in SMIs using the Multiplicative Decomposition method were 2566 kg with MAD = 173.73 and MAPE = 0.08. Based on the analysis of the effectiveness of the grinding machine, the average value of OEE for one year is 0.32 (32%). Based on the value of demand forecasting results, milling machine OEE and tapioca flour prices, an analysis of cassava raw material needs are carried out using a fuzzy logic approach. The membership set used is Triangular and Trapezoidal Membership Function and Fuzzy Rule Base as many as 81 possibilities. The defuzzification of cassava raw material requirements in SMIs is 17600 kg. Based on the results of defuzzification, the need for raw materials must be increased so that the demand for tapioca flour can be achieved.
Co-Authors Agung Prayudha Hidayat Agung Prayudha Hidayat Hidayat Aldiyansyah Anamy, Fathia Marcha Ananda, Dea Angga Eben Ezer Antonio Banggas Gregory Sinaga Apriliani, Fany Apristio Faza Ridhar Rahman Aqim Try Kurnia Ardani, Ilham Aziz Husyairi, Khoirul Azka Khairani Marisda Bachtiar, Willy Barokah, Wuliddah Tamsil Bayu Suriaatmaja Suwanda Bayu Suriaatmaja Suwanda Bayyinah, Aulia Nabil Billi Rifa Kusumah Bintang Aprilio Dardanella, Derry Derry Dardanella Divo Wibowo Adi Doni Yusri Faqihhudin, Muhammad Raka Fauzan Naufal Gibran Fionando Emir Satriadana Firman Muhammad Basar Ghailan Arhab Hafiz Agi Alfasih Hendri Wijaya, Hendri Herti Herti Heryudianto Vibowo Iklima Istiqomah Ilham Ardani Ilham Ardani Indrawan, Purana Insani, Mutiara Fitria Irfan Tigranaufal Nugraha Irmansyah Irmansyah Irzaman, Irzaman Jimmy Mohamad Alpino Anak Gumay Kartinawati, Annisa Keinanjung Ruswandi Khoirul Aziz Husyairi Laily Rochmatul Charky Lutfi Aziz Febrika Ardy Marithasari, Harries Mohammad Akbar Alfa Dirk Steyer Muhamad Raihan Afarel Nadji Baraba Muhamad Zikri Abdillah Muhammad Al-Ghifari Muhammad Danang Mukti Darmawan Muhammad Danang Mukti Darmawan Muhammad Fakhri Alauddin Muhammad Habiburrahman, Muhammad Muhammad Ifan Al Aziz Nabil Bayyinah, Aulia Nalanaya, Nalanaya Nanda Octavia Nanda Octavia Nayla Cahya Kamila Nerol, Ivan De Noer A Indrawan Nourma Ayuadika Novia Rahmawati Pangestu, Fattah Jati Prayuda Hidayat, Agung Purnomo, Hanif Putri, Stevani Rafiq Rizki Prabowo Refiansyah Nur Revanda Arifia Ridwan Siskandar Rina Martini Ringga Gilang Baskoro Rizkiriani, Annisa Robby Priaji Sakti Samsudin, Discania Martiani Savanah, Khadijah Meutia Septiyaningsih, Lutfi Sinaga, Antonya Rumondang Sista Naelly Adzimi Siti Aisyah Soelistiyowati, Renny Suhendar Sulaeman Suhendi Irawan Sulaeman, Suhendar Suwanda, Bayu Suriaatmaja Tiara Safitrah Vibowo, Heryudianto Vina Puspitasari Wiyoto Wiyoto Zahran, Fadhil Rizqi Az Zahrani, Firda Alifathuz Zaki Rafi Athallah