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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Pertanian Indonesia Journal of Engineering and Management in Industrial System Journal Industrial Servicess Jurnal Ilmiah Teknik Industri Jurnal Sistem dan Manajemen Industri Journal of Industrial Engineering Management Tekinfo | Scientific Journal of Industrial and Information Engineering 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 Manajemen Transportasi & Logistik (JMTRANSLOG) 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 AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan 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 Journal of Applied Science, Technology & Humanities
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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Penerapan Metode Analytical Hierarchy Process dalam Pemilihan Pemasok di Perusahaan Manufaktur Khoirunnisa, Nanda; Hidayat, Agung Prayudha
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol. 13 No. 1 (2026): MARET
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v13i1.1892

Abstract

This study aims to determine the best silica sand supplier at PT GIP using the Analytical Hierarchy Process (AHP) method. PT GIP does not yet have a structured supplier selection method, resulting in mismatches in the quality and quantity of raw materials. AHP is used to systematically compare alternative suppliers based on certain criteria. Data was collected through questionnaires distributed to three related departments, namely purchasing, logistics and quality control, each represented by two respondents. The weights of criteria and alternatives are determined using the geometric mean method, then the aggregate value is calculated to select the supplier with the highest score. PT GIP has two silica sand suppliers, namely SPI and PAP. AHP calculations are carried out using the Super Decision application to ensure objective analysis. The results show that the best supplier is SPI with an aggregate value of 0.513. This method helps PT GIP select suppliers more accurately and efficiently, so that the quality of the raw materials received can be more guaranteed.
INTEGRATION ADAPTIVE NEURO FUZZY INFERENCE SYSTEM AND HYPOTHESIS TESTING IN CHICKEN EGG INVENTORY PREDICTION Santosa, Sesar Husen; Hidayat, Agung Prayudha; Siskandar, Ridwan; Rizkiriani, Annisa
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 14 No. 1 (2026): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Accumulation of egg stock in warehouses is currently the biggest problem of product loss due to damage to egg agents. This problem occurs partly because egg agents in Bogor cannot predict final inventory availability, so the number of egg orders exceeds storage capacity and is damaged due to being stored in the warehouse for too long. A prediction model for the final stock availability of eggs (crates) was developed. The prediction model for the final stock availability was based on the number of egg agents ordering from suppliers and the selling price of eggs using the Adaptive Neuro Fuzzy Inference System (ANFIS). The ANFIS model uses three variables: orders to suppliers, selling prices, and inventory, with 50 training data points and 30 testing data points, namely, orders to suppliers, selling prices, and inventory. Based on the results of training and testing data, it was found that the range of the Sugeno fuzzy model for the supplier order variable was 150 - 350 cases, and the selling price was IDR 24,000/kg - 29,500/kg with a fuzzy triangular membership set. The simulation results show testing and training data with epoch = 100 using fuzzy Sugeno, and the error value = 13.7. The results of the training model's determination test (R2) obtained a value of R² = 81.02%, and the testing model had a value of R² = 81.23%. The determination value (R²) above 80% indicate that the model is suitable for predicting the final stock amount for egg agents.
Otomasi Cerdas Produksi dan Rantai Pasok Digital Dewi Sari Pinandita; Agung Prayudha Hidayat; Annisa Kartinawati; Sri Indrawati; Suhendi Irawan
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 2 (2026)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i2.2995

Abstract

Transformasi digital dan otomasi cerdas semakin penting bagi manajemen produksi dan rantai pasok. Hal ini karena perusahaan harus merespons volatilitas permintaan, kompleksitas operasi, dan tekanan keberlanjutan. Penelitian ini bertujuan mengkaji perkembangan penerapan kecerdasan buatan, internet of things, smart manufacturing, dan Industry 4.0/5.0 dalam produksi serta rantai pasok melalui systematic literature review yang diperkuat analisis bibliometrik. Data bibliometrik dianalisis menggunakan Bibliometrix/Biblioshiny terhadap 109 dokumen dari 99 sumber publikasi pada periode 2021-2026. Hasil analisis menunjukkan pertumbuhan publikasi yang tinggi dengan annual growth rate 45,41%, melibatkan 359 penulis, 313 kata kunci penulis, 6.142 referensi, dan international co-authorship 31,19%. Peta co-occurrence memperlihatkan bahwa artificial intelligence, supply chain management, industry 4.0, internet of things, decision making, dan smart manufacturing menjadi simpul utama struktur pengetahuan. Thematic map menunjukkan decision making, internet of things, dan smart manufacturing sebagai motor theme, sedangkan artificial intelligence dan supply chain management menjadi basic theme yang relevan tetapi masih membutuhkan konsolidasi konseptual. Temuan ini menegaskan bahwa transformasi digital tidak cukup dipahami sebagai adopsi teknologi, melainkan sebagai sistem keputusan sosio-teknis yang memadukan data, algoritma, manusia, etika, dan tata kelola. Artikel ini berkontribusi dengan menyintesis agenda penelitian yang menyeimbangkan efisiensi teknis, kolaborasi manusia-AI, interpretabilitas, dan keberlanjutan rantai pasok.
A Practical Implementation Fire Monitoring Systems Using Fuzzy Methods Dea Ummul Khabibah; Kenzi Dewandaru; Muhammad Tsabit; Silva Dimas Surya Permana; Yana Nurrohman; Agung Prayudha Hidayat; Dwi Yulinar Chairunisa
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/vm2cxa03

Abstract

Fires are serious disasters that require effective monitoring or control systems to identify risks and respond quickly. In this study, observations were made on the A Practical Implementation Fire Monitoring Systems Using Fuzzy Methods using temperature input from DHT22 sensors, smoke from MQ-2 sensors, and fire history as evaluation variables. The system will classify the temperature as "low", "medium", or "high", smoke as "low", "medium", "concentrated", as well as the history of fires categorized as "low", "medium", "high". The input will be processed using fuzzy logic to generate recommended actions, the actions are classified into "evacuate", "stay away from the area", or "wait for instructions". The implementation of the monitoring system uses the Arduino UNO platform as its base, then the DHT22 temperature sensor, and the MQ-2 smoke sensor to detect fire conditions. Then the test results from the monitoring system will provide recommendations related to more accurate and responsive actions based on actual conditions at the fire site.
Identification of Risk Mitigation Due to Noise in The G2R Production Area at PT OMI Najwa Adis Prambanan; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 2 (2025): March 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/c6w9yr74

Abstract

Production activities are the core of a manufacturing company. To produce goods, production activities are necessary. Concentration or focus is one of the factors determining the success of the production process. Through interviews with one of the G2R relay production supervisors, it was found that there is an issue related to the decreased concentration of operators working in the G2R relay production area. This indirectly affects the operators' work performance, which in turn impacts the quality of the products produced. The root cause of the decreased concentration was found to be the production machines generating very loud noise. The objective of this final project is to minimize the risks caused by this noise. Therefore, the House of Risk (HOR) method will be used as the solution method. The House of Risk (HOR) can identify risk events, risk agents, and propose mitigation strategies. The HOR calculation for this project suggests a mitigation strategy of applying proper or thicker machine covers to reduce noise from the production machines.
Integrated Inventory Control Analysis through Demand Forecasting and Probabilistic Stock Modelling Sesar Husen Santosa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 5 (2025): November 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/16281v86

Abstract

This study addresses the problem of excess chicken egg inventory at agent warehouses caused by the mismatch between fluctuating demand and incoming supply, which frequently leads to product damage and financial losses. The research aims to design an inventory control policy based on demand forecasting and probabilistic inventory modelling to determine an ideal stock level. A quantitative approach is employed by first applying the two‑period Moving Average method, which produces an MSE of 6.17 and a MAPE of 0.10 with a forecast of 65 crates for the ninth period, and then integrating these forecasts into a probabilistic inventory model at a significance level of  to obtain a reorder point of 214 crates and a safety stock of 60 crates. The results show that this integrated approach enables the agent to trigger replenishment precisely when on‑hand inventory reaches the reorder point, thereby maintaining an adequate service level while reducing overstock and the risk of spoilage. The combined use of a quantitative forecasting model and a probabilistic inventory framework constitutes the main contribution of this study, offering an integrated decision support scheme for determining both the optimal order timing and the appropriate buffer stock level in a perishable‑goods context.
Analisis Tata Letak Pada PT. Rumah Rumput Laut Dengan Metode Activity Relationship Chart (ARC) dan Total Closeness Rating (TCR) Ainun Ratu Ajizah; Fatimah Zahra Rito; Hany Handayani; Ghina Yunita; Felisha Eunike Aprilasma Simaremare; Agung Prayudha Hidayat
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 4 No. 1: November 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v4i1.6038

Abstract

PT. Rumah Rumput Laut merupakan perusahaan yang menghasilkan produk kosmetik yang dihasilkan dari olahan rumput laut. Desain tata letak yang efisien pada PT. Rumah Rumput Laut salah satu kunci dalam memudahkan operasional perusahaan. Rancangan tata letak yang buruk akan mengakibatkan proses produksi tidak efektif. Pada penelitian ini metode yang digunakan adalah Activity Relationship Chart (ARC) untuk mengetahui tingkat hubungan antara ruang satu dengan ruang yang lainnya dan Total Closeness Rating (TCR) menentukan prioritas dari nilai nilai numerik yang menyatakan hubungan kedekatan antar area. Penelitian ini dilakukan melalui observasi dan wawancara untuk mengetahui ruang mana yang menjadi permasalahan dalam operasional di PT. Rumah Rumput Laut, sehingga menghasilkan tata letak yang efektif dalam operasional perusahaan.
Evaluasi Kinerja Pengelolaan Persediaan Finished Goods dengan Metode SCOR DS Frea Marva Zerlinda; Fattah Jati Pangestu; Agung Prayudha Hidayat; Sesar Husen Santosa
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 4 (2026): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Finished goods warehouse management plays a crucial role in ensuring the smooth distribution process within manufacturing companies. This study aims to evaluate inventory management performance to address the phenomenon of overcapacity resulting from inventory buildup. The evaluation was conducted using the Supply Chain Operations Reference Digital Standard (SCOR DS) framework. Through a breakdown analysis, it was found that the strategic metric Cash-to-Cash Cycle Time had the lowest performance, caused by the critical value of the operational metric Inventory Days of Supply, which was 0.03978. This finding proves that the length of time goods remain in the warehouse due to the absence of a standardized inventory movement classification system is the main cause of overcapacity. The research recommendations focus on synchronizing capacity planning to reduce storage duration and optimize warehouse space utilization.
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 Dea Ummul Khabibah Deni Rahman Derry Aditia Derry Dardanella Derry Dardanella Dewi Sari Pinandita 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 Fattah Jati Pangestu Felisha Eunike Aprilasma Simaremare Ferdinant, Putro Ferro Fikri Fadilah Frea Marva Zerlinda 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 Kenzi Dewandaru Khairunisa, Caca Khasanah, Zuhrotul Khoirunnisa, Nanda 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 Muhammad Tsabit Najwa Adis Prambanan 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 Silva Dimas Surya Permana Sinaga, Antonya Rumondang Siskandar, Ridwan Siti Aisyah Sobri, M. Khasan Sri Indrawati Steven Jona Duari Huta Balian Suhendar Sulaeman Suhendi Irawan 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 Yana Nurrohman Zahran, Fadhil Rizqi Az Zaky Triyoga, Faishal Zata Ismah Sumayyah Zidan Febrian