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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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Pengaruh Dari Customer Relationship Management (CRM) Terhadap Loyalitas Pelanggan Ada Swalayan, Kota Bogor Maura Salsabila Kautsar; Agung Prayudha Hidayat; Derry Aditia; Dwi Cahyo Nugroho; Nisa Naillah Rahmawati; Safitri Astiani; Ulya Khoirunisa
Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis Vol. 2 No. 3 (2024): Juli: Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen dan Bisnis
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manuhara.v2i3.928

Abstract

The pursue of this research is to analyze correctional relationship between customer relationship management (CRM) as quality of service and marketing mix to customer loyalty of ADA Swalayan in Bogor. The primary data are collected through questionnaire of 52 respondents who have made transactions in ADA Swalayan and analyzed the data with Structural Equation Modeling (SEM) using software SPSS. The results of the research show that Customer Management Relationship has an influence on customer loyalty of the ADA Swalayan as well.
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.
Use of Databases to Manage Sales Results Data at the KDH Sancang Coffee Shop Agung Prayudha Hidayat Hidayat; Apristio Faza Ridhar Rahman; Azka Khairani Marisda; Ghailan Arhab; Nayla Cahya Kamila; Rafiq Rizki Prabowo; Sesar Husen Santosa
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 1 (2024): January 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/hx4h5d16

Abstract

Technological advances allow entrepreneurs to manage sales data efficiently. Governance management in micro, small and medium enterprises is often an obstacle to the continuity and development of the business. Based on interviews conducted, at KDH Sancang Coffee Shop, data management still uses Microsoft Excel, which sometimes makes it difficult for users to access the desired data. This research recommends using Microsoft Access to create a secure and organized sales database. This solution helps overcome data duplication problems and improve data accessibility and security. Based on the research results, the process of creating a database for sales results includes the creation of item and sales data tables, one to one relationship, Query total sales results, and Form Design for easy data access. This research activity aims to enable micro, small, and medium-sized enterprises to effectively organize their financial records, including providing owners with the necessary tools to manage their business finances more efficiently. The results showed that the use of Microsoft Access increased the efficiency of managing monthly sales data at KDH Sancang Coffee Shop which is expected to facilitate monthly sales evaluation activities at the coffee shop.
Enhancing Demand Forecasting Accuracy for Electronic Components: A Case Study of PT Omron Indonesia Fadhil Rizqi Az Zahran; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 2 (2024): March 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/1c5aef59

Abstract

In the dynamic realm of manufacturing, precise demand forecasting is crucial for optimizing supply chains and production processes. This study addresses PT Omron Indonesia's challenge of inaccurate demand forecasts leading to production disruptions. Utilizing the Plan-Do-Study-Act (PDSA) cycle, alongside Multiplicative Decomposition methods, the research aims to improve forecasting accuracy. Results indicate that the Multiplicative Decomposition - Centered Moving Average method yields a lower Mean Absolute Percentage Error (MAPE), though refinement is needed to meet set standards. The estimated demand for the next period is 1308 units, with a MAPE of 140%. The study concludes that iterative refinement of the selected method is essential for achieving higher forecasting accuracy. This research contributes to enhancing production efficiency and mitigating the impact of part shortages in the electronics industry.
Implementing Fuzzy Logic to Forecast Electricity Usage Costs Ade Riyanti; Arda Dwiyana; Danar Restu Firdaus; Danke Hidayat; Fajri Haykal Rahman; Muhammad Rafi Ari Ghani; Agung Prayudha Hidayat; Dwi Yulinar Chairunisa
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/r6ygb628

Abstract

Electricity has a very vital role in human life, being a form of energy that is inseparable from various aspects of daily activities. The greater the use of electricity will have an impact on increasing the cost of electricity use. By applying fuzzy logic methods, research focuses on understanding the efficiency of electrical power use, identifying key factors that affect efficiency at the household level. This study aims to apply the Mamdani method in fuzzy logic to predict the cost of electricity consumption and measure the level of accuracy of the implementation of fuzzy logic. The variables used as the basis of the study involved house size, electronic equipment, electrical power, economic income, and electricity usage cost. The implementation of this research will use Matlab software because it provides various tools for the Mamdani method. The results of the implementation of fuzzy logic with the Mamdani method for the example case analyzed in obtaining electricity usage cost that needs to be paid is Rp. 455,500. Thus, these results indicate that the Mamdani method in fuzzy logic is effectively used to predict electricity usage cost in Leuwimekar Village, Bogor City. 
Enchasing Production Planning and Inventory Management : A Quantitative Approachto Forecasting for Bottled Mineral Water Products at PT Arima Sesar Husen Santosa; Agung Prayudha Hidayat; Annisa Rizkiriani; Khoirul Aziz Husyairi; Bayu Suriaatmaja Suwanda
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 3 (2024): June 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/2ey5ss36

Abstract

PT Arima is a company engaged in the production of bottled mineral water. The demand for bottled mineral water is experiencing fluctuations, with demand increasing at the end, so companies must carry out optimal production planning to avoid stock buildup. Production planning at PT Arima is carried out by identifying demand levels using quantitative forecasting methods, namely moving average (n = 3) and exponential smoothing (α = 0.05) to maintain optimal production levels and stock in the warehouse does not accumulate. The results of processing the level of forecasting accuracy using 12 months of demand data obtained using the moving average method showed that the production level = 39,733 boxes in January 2024. MAD = 3733.22; MSE = 21566024.78 and MAPE = 0.10. Based on the exponential smoothing method, the production level = 38,081 boxes in January 2024. MAD = 5773.50; MSE = 43466303 and MAPE = 0.15. Based on the results of comparing the MAPE values ​​of the two forecasting methods, the lowest MAPE value was obtained, namely the average method (n=3) of 0.10 with the production level of bottled mineral water to maintain optimal supply conditions in January 2024 of 39,733 boxes.
Application of Fuzzy Logic to Motorcycle Oil Change Cycle with 10W 30 Oil Viscosity Zata Ismah Sumayyah; Brian Mariano Rahmanto; Muhammad Caesar Hidayat; Nur Ilham Febriansyah; Veto Adi Pertama; Dwi Yulinar Chairunisa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/ypjkqg79

Abstract

Oil is a fluid that serves to lubricate the engine, so that friction between engine components is relatively small. Oil changes are based on mileage, oil volume, and oil viscosity levels which usually vary depending on the needs of the vehicle's engine. Most riders are often late and do not even know the routine time of oil changes so that the user's motorcycle engine feels damaged. The application of fuzzy logic has become an important approach in modeling the complex and ambiguous system of motorcycle oil change periods with 10W 30 oil viscosity. The purpose of this study is to determine the application of fuzzy logic in determining the optimal oil. exchange interval. Oil is based on factors such as mileage, oil volume, and oil viscosity when viewed from motorcycle use. To represent these variables using fuzzy sets, a fuzzy logic control system was developed that takes into account oil wear and motorcycle operating conditions which was implemented using the mamdani method and calculated using matlab software. The results showed that oil change intervals tailored to operating conditions and the environment can improve engine performance, reduce maintenance costs and extend component life.
Automatic Watering System on Microcontroller-Based Tomato Plants With The Fuzzy Logic Approach Muhammad Arif Bagus Dewanto; Muhammad Rizky Alfazry; Wanda Haniyah; Fikri Fadilah; Muhammad Fakhri Firdaus; Akhtarsyah Pambudi Putra; Dwi Yulinar Chairunisa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/89fr2w25

Abstract

One of the main challenges in crop cultivation is addressing irrigation issues, which are often carried out conventionally. This research aims to tackle this problem by implementing fuzzy logic in the development of an automatic irrigation system for tomato plants based on a microcontroller. The system is designed to create an intelligent irrigation solution capable of adjusting water supply according to environmental conditions and the needs of tomato plants. The research methodology includes system design, environmental data collection, and implementation of fuzzy logic algorithms for decision-making. The research findings demonstrate the effectiveness of the fuzzy logic-based approach in optimizing irrigation schedules, resulting in improved plant health and water conservation. Thus, the conclusion emphasizes the potential of fuzzy logic in enhancing precision farming practices and underscores the importance of adaptive irrigation systems in supporting sustainable crop production.
Fuzzy Inference System to Improve Catfish Care in Bioflok Pools Based on Temperature and Water Quality Analiah Fahlevy Yusuf; Zidan Febrian; Muhammad Fathurrahman; Rajwa Daffa Adyatama Yuristiawan; Steven Jona Duari Huta Balian; Dwi Yulinar Chairunisa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/c6c50w10

Abstract

The study explores the application of the Fuzzy Inference System (FIS) to improve the maintenance of clay (Clarias gariepinus) in Biofloc ponds, focusing on critical factors such as temperature and water quality. In the context of the efficiency of the biofloc system in water quality management, the study addresses the challenges posed by dynamic environmental conditions. Through a comprehensive gap analysis, the study identifies disparities between current research and the need for a specialized approach that integrates FIS for adaptive decision-making. The urgency stems from the limited coverage of previous research in addressing temperature dynamics and water quality. This research places itself in the research landscape by supporting and refining previous findings and introducing new FIS applications. The integration of Fuzzy Logic into bio floc management decision-making is new in this study. This research, supported by the latest literature from leading journals, emphasizes the significance and originality of its approach, contributing to sustainable and adaptive aquaculture practices.
Analysis of Decision Making Using the Composite Performance Index Method in Improving Product Handling at UMKM Warung Nasi, Bogor City Sesar Husen Santosa; Agung Prayudha Hidayat; Heryudianto Vibowo
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 3 (2025): June 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/dw43jy09

Abstract

Competition for the MSME rice stall business in the city of Bogor is currently very high where business actors are trying to increase consumer loyalty. The problem currently occurring in MSME rice stalls in Bogor City is a lack of knowledge regarding proper handling of food products. This problem means that MSME players only have a limited market share. In this PKM activity, evaluation and implementation of priority improvements are carried out using the Composite Performance Index (CPI). The CPI method uses four alternative options, namely improving service, improving serving facilities, improving food processing methods and improving production layout. The results of determining repair priorities using the CPI method showed that the repair process must be carried out at serving facilities with a value of 106.09. The priority results of this improvement are improvements to the display cases, serving areas and consumer dining tables.
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