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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Pertanian Indonesia Journal Industrial Servicess Jurnal Ilmiah Teknik Industri Jurnal Sistem dan Manajemen Industri Journal of Industrial Engineering Management JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal INTECH Teknik Industri Universitas Serang Raya Jurnal Logistik Indonesia Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Mandala Pengabdian Masyarakat JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Sains Indonesia Jurnal Manajemen Retail Indonesia (JMARI) Go-Integratif : Jurnal Teknik Sistem dan Industri Jurnal Transportasi Multimoda Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Journal of Comprehensive Science Jurnal Pengabdian Masyarakat Bhinneka Madani: Multidisciplinary Scientific Journal Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis Jurnal Manajemen Bisnis Era Digital Jurnal Inovasi Manajemen, Kewirausahaan, Bisnis dan Digital Jurnal Bisnis Kreatif dan Inovatif Botani: Publikasi Ilmu Tanaman dan Agribisnis Jurnal Ekonomi, Manajemen, Akuntansi Jurnal Keilmuan dan Aplikasi Teknologi Industri
Agung Prayudha Hidayat
Study Program Of Industrial Management College Of Vocational Studies, IPB University, IPB University, IPB Cilibende Campus, Bogor 16128
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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
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.
Analisis Kinerja Pengiriman Barang Terhadap Pelayanan E-commerce PT Pos Indonesia (Persero) agung prayudha hidayat; gatot yudoko; pradono pradon
Jurnal Transportasi Multimoda Vol 17, No 1 (2019): Juni 2019
Publisher : Puslitbang Transportasi Antarmoda-Kementerian Perhubungan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2802.498 KB) | DOI: 10.25104/mtm.v17i1.1241

Abstract

Perkembangan teknologi informasi yang semakin pesat saat ini khususnya internet menjadikan usaha bisnis secara elektronik menjadi potensial. Penerbitan Peraturan Presiden untuk menyikapi persoalan tersebut mengenai kegiatan logistik yaitu terkait restrukturisasi, revitalisasi dan modernisasi PT Pos Indonesia (Persero) yang modern dan bersaing.  PT Pos Indonesia (Persero) sebagai perusahaan kurir diperlukan evaluasi terhadap kondisi pengiriman barang saat ini untuk dapat meningkatkan daya saing dengan perusahaan kurir lainnya. Tujuan penelitian ini adalah melakukan evaluasi pengiriman barang bisnis elektronik PT Pos Indonesia (Persero). Evaluasi dilakukan terhadap kondisi moda transportasi saat ini dengan menggunakan metode simulasi Monte Carlo. Dalam hal ini, evaluasi pengiriman dilakukan dari Sentral Pengolahan Pos Jakarta hingga menuju pusat distribusi Tambun. Hasil dari penelitian ini adalah jumlah kendaraan aktual dalam pengiriman barang bisnis elektronik PT Pos Indonesia (Persero) sebanyak 53 kendaraan dapat dilakukan efisiensi kendaraan dengan menggunakan simulasi Monte Carlo sebanyak 30 kendaraan. Selain itu, dapat menurunkan biaya operasional kendaraan sebesar 56,01% atau senilai Rp. 46.833.475.862-,. Namun, untuk mengantisipasi pertumbuhan bisnis elektronik  kedepannya, dilakukan skenario pertumbuhan bisnis elektronik sebesar 10% hingga 20%. Hasil tersebut menunjukkan bahwa jumlah kendaraan simulasi hanya dapat mengantisipasi kondisi pertumbuhan saat ini. Sebaliknya,  jumlah kendaraan aktual dapat mengantisipasi hingga tahun 2021.
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.
Penentuan Jumlah Kebutuhan Bahan Baku Berdasarkan Distribusi Barang Ideal di IKM Tepung Tapioka Kabupaten Bogor Agung Prayudha Hidayat; Sesar Husen Santosa; Ridwan Siskandar
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 8 No. 1 (2022): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v8i1.4400

Abstract

Ketidakpastian waktu produksi tepung tapioka menjadi penghambat dalam memenuhi permintaan konsumen dikarenakan ketersediaan bahan baku singkong yang tidak memadai. Sistem integrasi dari hulu hingga akhir dengan memperhatikan aktivitas rantai pasok menjadi solusi untuk mengetahui kebutuhan konsumen. Penelitian ini bertujuan untuk mengoptimalkan aspek hulu rantai pasok dengan menentukan kapasitas kebutuhan singkong yang optimal berdasarkan jumlah distribusi tepung tapioka yang ideal sebagai dasar keputusan bagi pihak IKM tepung tapioka di dalam melakukan pemesanan bahan baku singkong dan proses produksi tepung tapioka. Pendekatan yang digunakan dengan pendekatan statistik berupa model persamaan regresi dan pendekatan simulasi dengan metode simulasi monte carlo. Hasil penelitian menunjukkan simulasi jumlah distribusi tepung tapioka yang optimal sebesar 1.581 Kg. Hasil ini di masukkan ke dalam model regresi untuk mendapatkan jumlah kebutuhan singkong yang optimal. Model kebutuhan bahan baku singkong yang optimal (Y) = -818+ 5,36X (1.581 Kg) = 7.656 Kg. Hal ini menjadi dasar pengambilan keputusan bagi pihak IKM tepung tapioka di dalam merencanakan kapasitas kebutuhan singkong serta pengelolaan sumberdaya perusahaan dalam melakukan proses produksi tepung tapioka.
Co-Authors Abib Riyadi Ade Riyanti Adinda Siti Sarah Agief Julio Pratama Ainun Ratu Ajizah Akhtarsyah Pambudi Putra Alsa Az Zukhruf Analiah Fahlevy Yusuf Ananda, Dea Angeli, Jahira Annisa Kartinawati Annisa Oktaviana Putri Apristio Faza Ridhar Rahman Arda Dwiyana Ardani, Ilham Astiani Safitri Athallah Kusumaningtyas, Fannisa Azka Khairani Marisda Barokah, Wuliddah Tamsil Bayu Suriaatmaja Suwanda Bayu Suriaatmaja Suwanda Billi Rifa Kusumah Brian Mariano Rahmanto Budiarto, Tri Danar Restu Firdaus Danke Hidayat Dardanella, Derry Dardanella, Derry Deni Rahman Derry Aditia Derry Dardanella Derry Dardanella Dewi, Ratih Kemala Diyah Puspa Asih Atsilanti Doni Yusri Dwi Cahyo Nugroho Dwi Yulinar Chairunisa Edi Wiraguna Elfa Syukrina Fadhil Rizqi Az Zahran Fajri Haykal Rahman Fany Apriliani Faqihhudin, Muhammad Raka Fathiya Najmaayyubi Fatimah Zahra Rito Felisha Eunike Aprilasma Simaremare Ferdinant, Putro Ferro Fikri Fadilah Gatot Yudoko Ghailan Arhab Ghina Yunita Glori S Napitupulu Hany Handayani Hasna Salsabila Hendri Wijaya, Hendri Herlinawati, Agtris Heryudianto Vibowo Husyairi, Khoirul Aziz Ilham Ardani Ilham Hasrimi Indrawan, Purana Intan Kusuma, Zefania Ivana, Angela Japar, Chiquita Khairunisa, Caca Khasanah, Zuhrotul Laily Rochmatul Charky Leonard Dharmawan Luthfi Hibatullah M. Agung Zaim Adzkiya Maura Salsabila Kautsar Mochamad Bintang Muhammad Arif Bagus Dewanto Muhammad Caesar Hidayat Muhammad Fadhilah, Arvine Muhammad Fakhri Firdaus Muhammad Fathurrahman Muhammad Habiburrahman, Muhammad Muhammad Rafi Ari Ghani Muhammad Rizky Alfazry Nalanaya, Nalanaya Naoval Nainggolan, Zacky Nayla Cahya Kamila Nerol, Ivan De Nisa Naillah Rahmawati Novia Rahmawati Noviqa Shaumi Nur Ilham Febriansyah Nurulhaq, M. Iqbal Pamungkas, Genta Yoga Pangestu, Fattah Jati Paozan, Elan Nurul pradono pradon Prameswara, Dhita Icha Pranoto, Rahmawati Indriani Putri, Stevani Rachel Sofia Audina Rachmawati Rezeki Rafiq Rizki Prabowo Rahman, Reindra Rajwa Daffa Adyatama Yuristiawan Ramdhaniyah, Nadya Raysha Putri Ramadhania Ridwan Siskandar Ringga Gilang Baskoro Rizkiriani, Annisa Saddam Cahya Maleon Safitri , Astiani Safitri Astiani Safitri, Astiani Santosa, Sesar Husen Savanah, Khadijah Meutia Savitri, Putri Sa’ban Firdaus, Yugi Sesar Husen Santosa Sesar Husen Santosa Siahaan, Boni Fancius Sinaga, Antonya Rumondang Siskandar, Ridwan Siti Aisyah Sobri, M. Khasan Steven Jona Duari Huta Balian Suhendar Sulaeman Suhendi Irawan Sulaeman, Suhendar Sundari, Sella Novitya Suwanda, Bayu Suriaatmaja Tessalonika Wijaya, Allieccia Tirtawan, Muhammad Dimas Ulya Khoirunisa Veto Adi Pertama Wanda Haniyah Widya Hasian Situmeang Wiyoto Wiyoto Zahran, Fadhil Rizqi Az Zaky Triyoga, Faishal Zata Ismah Sumayyah Zidan Febrian