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All Journal Jurnal Teknologi Industri Pertanian Jurnal Manajemen dan Organisasi Jurnal Manajemen dan Agribisnis Forum Pasca Sarjana Jurnal Manajemen Teknologi Jurnal Social Economic of Agriculture TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Penelitian Pascapanen Pertanian JAM : Jurnal Aplikasi Manajemen Journal of Engineering and Management in Industrial System Indonesian Journal of Business and Entrepreneurship (IJBE) Sinergi Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Riset Industri agriTECH Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Industri Hasil Perkebunan Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Sistem dan Manajemen Industri JKBM (JURNAL KONSEP BISNIS DAN MANAJEMEN) Jurnal Bina Praja International Research Journal of Business Studies (E-Journal) Albacore : Jurnal Penelitian Perikanan Laut Communications in Science and Technology CYBERNETICS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) International Journal of Supply Chain Management Warta Penelitian Perhubungan STI Policy and Management Journal JURNAL PANGAN Systematics Indonesian Journal of Electrical Engineering and Computer Science Industry Xplore Journal of Computer Networks, Architecture and High Performance Computing International Journal of Mechanical Engineering Technologies and Applications (MECHTA) BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi AGRI-TEK : Jurnal Penelitian Ilmu-ilmu Eksakta JURNAL TEKNIK INDUSTRI Mamangan Social Science Journal Policy Brief Pertanian, Kelautan, dan Biosains Tropika International Research Journal of Business Studies JURNAL REKAYASA KIMIA & LINGKUNGAN
Yandra Arkeman
Department Of Agroindustrial Technology, Faculty Of Agricultural Engineering And Technology, Bogor Agricultural University PO BOX 220, Campus IPB Dramaga, Bogor 16602
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Transportation

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Design of red chili commodity pricing using the BPMN approach and Sugeno's fuzzy inference system Umi Marfuah; Yandra Arkeman; Machfud Machfud; Indah Yuliasih
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 2 (2022): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.66 KB) | DOI: 10.30656/jsmi.v6i2.4829

Abstract

Red chili is Indonesia's leading commodity. Red chili is a raw material for various food products, cosmetics, pharmaceuticals and others. Fluctuations in the availability of red chili commodity supply affect the price of red chili commodity products. Pricing can occur because of supply and demand. Un­cer­tain conditions also influence pricing due to fluctuations in raw material prices, ultimately affecting the price of carrageenan products. This condition makes price determination very difficult. Therefore, this study aims to analyze and design a pricing mechanism and determine the optimal margin in the red chili commodity marketing system. This study uses a systems analysis and design approach. Input-process-output (IPO) diagrams describe system requirements. Industrial business processes are described by the Business Process Model and Notation (BPMN) ver. 16.0. Meanwhile, to determine the optimal margin, Sugeno's fuzzy inference system approach is used by simulating the model in 3 margin scenarios: pessimistic, moderate, and optimistic. The simulation results were tested using the MAPE test, in which the results were compared between fuzzy price results and markup prices using markup values of 20%, 25%, and 30%. The analysis results show that the price is determined by demand and supply. The price obtained from the formulation of the Sugeno fuzzy model shows an optimal margin of Rp. 16,600.
Use of Plant Health Level Based on Random Forest Algorithm for Agricultural Drone Target Points Try Kusuma Wardana; Yandra Arkeman; Karlisa Priandana; Farohaji Kurniawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4959

Abstract

Chemical residues from the use of pesticides in agriculture can impact human health through environmental and food pollution. To lessen the negative effects of excessive pesticide use, pesticides must be applied to plants by dose. The dose of pesticide application can be based on a plant health level, which is the result of drone Normalized Difference Vegetation Index (NDVI) image analysis. Drones can also be used for spraying pesticides. Analysis of plant health levels was carried out using the Random Forest (RF) algorithm. The results of the classification plant health levels will be used to design spray drone flight routes. The objective of this research is to classify plant health levels of rice based on NDVI imagery using the RF algorithm and to compile a database of spray drone target points. The results of this study indicate that the classification of plant health levels using the RF algorithm produces an accuracy value of 98% and a Kappa value of 0.96. As a result, the model developed and the algorithm employed is quite effective at classifying the level of plant health. Furthermore, spray drone target points based on plant health levels can be generated. Optimally the spray distance between rows is 2 m.
Designing Halal Product Traceability System using UML and Integration of Blockchain with ERP Adhi Kusnadi; Yandra Arkeman; Khaswar Syamsu; Sony Hartono Wijaya
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 9 No 1 (2023): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v9i1.3045

Abstract

Consuming halal food is mandatory for Muslims, but meeting the growing demand for halal products has been a challenge for Muslim producers. Importing halal products from non-Muslim countries can raise doubts about their halal status. Therefore, a traceability system is needed to ensure the halalness of products. This research proposes a new traceability system by utilizing ERP, Blockchain, and smart contract technologies based on HAS 23000. This study is the first to combine these technologies. Using the System Development Life Cycle (SDLC) method, the design diagram has been successfully developed into an application system prototype. The use of ERP can help companies reduce operational costs, while the combination with blockchain technology ensures more transparent information, data protection, and system security. The system also uses smart contracts to make automated decisions. By managing the procurement of halal products, companies can ensure that products with halal assurance reach consumers.
Hole Detection in Plastic Mulch Using Template Matching and Machine Learning Algorithms Abdul Aziz; Yandra Arkeman; Wisnu Ananta Kusuma; Farohaji Kurniawan
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 2 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i2.60628

Abstract

Mulch is a ground cover material to maintain soil moisture and temperature stability as a plant medium. Mulch also helps prevent weed growth for better plant growth. For planting with plastic mulch, farmers need to make holes in the mulch the day before planting. Precision agriculture is needed because it can obtain savings in input financing, labor, and better yields, so this research aims to identify holes in mulch based on Unmanned Aerial Vehicle images. The advantage of this research is that it can monitor each plant based on the mulch holes, and the number of holes identified can be used as a parameter to estimate the amount of crop production. This research combines Template Matching Algorithm and Machine Learning Algorithm to improve accuracy in predicting holes in mulch. Three machine learning algorithms are used, namely the Random Forest, Support Vector Machine, and XGBoost. The data used is an orthophoto mosaic from aerial photographs. Nine areas were taken from orthophotos to be used as research samples. The results of this study obtained the highest average recall, precision, and f-measure values using the Support Vector Machine algorithm with a recall value of 87.7%, precision of 97.5%, and f-score of 92.3%. This research focuses on reducing detected commission errors. Therefore, omission errors were still detected in the damaged or leaf-covered holes.
Blockchain-based key-value store to support dynamic smart contract interaction in the agricultural sector Irwansyah Saputra; Yandra Arkeman; Indra Jaya; Irman Hermadi; Indrajani Sutedja
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 1: January 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i1.pp622-633

Abstract

In the era of supply chain digitalization, adaptability and transparency are key to enhancing efficiency and trust. Although blockchain technology and smart contract offer innovative solutions, the limitations of static smart contract hinder their full potential. This article introduces a new approach using dynamic smart contract capable of managing various commodities in the supply chain with a key-value store. While this advantage provides flexibility, it still poses challenges in managing increasingly complex interactions among various actors, especially when the number of commodities increases. To address these challenges, this study introduces the concept of smart contract interaction that facilitates the automation and management of interactions with high efficiency. The implementation results show that smart contract interaction outperforms conventional approaches in terms of speed, resilience, and ease of management. Through the combination of dynamic smart contract and smart contract interaction, demonstrating how efficiency, transparency, adaptability, and scalability can be achieved in the supply chain, providing new insights into the utilization of blockchain technology for the modern industry.
DESAIN SISTEM INFORMASI RANTAI PASOK TERINTEGRASI BERBASIS ENTERPRISE RESOURCE PLANNING ODOO PENJUALAN Velica Yoyellia; Deasy Kartika Rahayu Kuncoro; Yandra Arkeman
Industry Xplore Vol 9 No 2 (2024): Industry Xplore
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/teknikindustri.v9i2.8031

Abstract

ERP systems have become a part of companies, so all the processes of business activities within the company are integrated with each other. Currently, many vendors offer ERP systems that are inexpensive and easy to implement, such as OpenERP or Odoo, which are open-source ERP systems. This study aims to identify the need for a sales information system that can solve problems at the company, design a sales information system that fits the needs of users based on ERP, and know the effectiveness of using the Odoo Sales Module application in the system. The method used is descriptive quantitative, namely by filling out a questionnaire for the sales staff to test the application using the User Acceptance Test (UAT). The results showed that the average UAT score was 90%. This value indicates that the respondents strongly agree that the Odoo Sales Module application is very useful and easy to use.
AniraBlock: A leap towards dynamic smart contracts in agriculture using blockchain based key-value format framework Saputra, Irwansyah; Arkeman, Yandra; Jaya, Indra; Hermadi, Irman; Akbar, Nur Arifin; Sutedja, Indrajani
Communications in Science and Technology Vol 8 No 2 (2023)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.8.2.2023.1240

Abstract

Blockchain technology offers data transparency and traceability, which is particularly useful in the agricultural sector, especially within the supply chains of commodities like coffee and fish. This sector often encounters issues such as quality degradation, unclear information, and socioeconomic injustice affecting stakeholders. The implementation of Static Smart Contracts (SSCs) on blockchains provides a structured method for executing agreements. However, this approach also has limitations, including a lack of flexibility and responsiveness to dynamic changes in the supply chain. Despite these challenges, blockchain remains a valuable tool for ensuring transaction transparency, traceability, and integrity, which are vital in agriculture. These limitations involve unchangeable parameters, rigid rules, and constraints on adaptability and scalability. This study aims to tackle these issues by designing a more dynamic and responsive smart contract system. We introduce AniraBlock, a revolutionary concept for the agricultural supply chain, particularly in the coffee and fish sectors, by implementing Dynamic Smart Contracts (DSCs) based on a key-value format framework. Unlike SSCs, DSCs offer enhanced adaptability and scalability, addressing the former's limitations. Our study adopts a mixed-method approach, utilizing both qualitative and quantitative data to validate AniraBlock's effectiveness. Preliminary results show significant improvements in data management and supply chain transparency. The proposed framework has the potential to influence the agricultural sector by boosting data integrity and operational efficiency.
Menuju Pertumbuhan Berkualitas: Peran Kunci Pemerintah dalam Mendorong Industri Feedlot di Indonesia Wibisono Chandra; R. Nunung Nuryartono; Yandra Arkeman; Zenal Asikin
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol 6 No 2 (2024): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0602.849-855

Abstract

Kebijakan pemerintah dalam pengembangan industri feedlot menjadi aspek penting dalam mengevaluasi efektivitas, mengidentifikasi hambatan yang mungkin dihadapi, dan merumuskan solusi yang diperlukan untuk meningkatkan produksi di tempat pemberian pakan ternak. Keterlibatan pemerintah dalam menetapkan regulasi yang bijaksana, insentif yang sesuai, dan dukungan infrastruktur dapat memainkan peran kunci dalam menciptakan lingkungan yang kondusif bagi pertumbuhan industri feedlot. Pemahaman mendalam terhadap kerangka kebijakan, keterlibatan aktif dengan pemangku kepentingan, serta responsif terhadap perubahan dalam dinamika industri yang secara esensial untuk mengoptimalkan pengembangan industri feedlot yang berkelanjutan dan efisien. Kebijakan pemerintah yang tidak produktif bertanggung jawab atas penurunan dan deindustrialisasi berkelanjutan dalam industri sapi lokal. Pemerintah perlu melakukan penyederhanaan regulasi untuk menciptakan lingkungan usaha yang kondusif, meminimalkan birokrasi, dan meningkatkan kejelasan prosedur. Implementasi kebijakan yang berlaku untuk impor harus diprioritaskan dalam penyusunan kebijakan terkait pengembangan usaha peternakan sapi di Indonesia. Sektor feedlot di Indonesia memiliki potensi besar untuk tumbuh dan memenuhi lebih banyak permintaan daging sapi dunia. Sektor feedlot merupakan mata rantai kritis dalam pasokan daging sapi yang memberikan peluang untuk meningkatkan produksi daging sapi secara efektif. Pasokan dan biaya daging sapi berdampak langsung pada peningkatan produktivitas feedlot dan juga mendorong ekspansi seluruh industri sapi di Indonesia.
Adsorpsi Surfaktan Nonionik Alkil Poliglikosida pada Antar muka Fluida-Fluida Adisalamun Adisalamun; Djumali Mangunwidjaja; Ani Suryani; Titi Candra Sunarti; Yandra Arkeman
Jurnal Rekayasa Kimia & Lingkungan Vol 9, No 1 (2012): Jurnal Rekayasa Kimia & Lingkungan
Publisher : Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia

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

Abstract

Nonionic surfactants have been used extensively in various industrial applications such as cleaning, personal care, crop protection, paint and coating, textile finishing, emulsion stabilization, food and leather processing. In this study, we have studied the adsorption of three nonionic surfactants of alkyl polyglycoside, namely commercial APG from Cognis and APG produced from glucose as well as APG synthesized from sago starch, at fluidfluid interfaces. The variation of surface and interfacial tension with the concentration of surfactant in the bulk was studied, and the data were fitted using a surface equation of state derived from the Langmuir isotherm. The agreement between ?(c) data and Langmuir isotherm model was very good.Keywords: adsorption, air/water interface, interfacial tension, surface tension
Analysis and Design of Distribution Systems Information Flow in the Sugar Supply Chain in Indonesia Ekawati, Ratna; Arkeman, Yandra; Suprihatin, Suprihatin; Sunarti, Titi Candra
International Journal of Mechanical Engineering Technologies and Applications Vol. 2 No. 1 (2021)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2021.002.01.7

Abstract

Today's modern supply chain represents a complex and real-time, organization, resource, activity, information, and data source that is involved in the distribution of products and services ranging from upstream to downstream of the supply chain. In the past 4.0 supply chain technology was not just a linear business function, but as the center of the main process of ecosystems that are in a blind spot chained by value. With information as a foundation in the decision-making process so that information can create integrated and efficiently coordinated supply chains. So that it can show continuity from planning to production, inventory, quality, and price control in each chain. An inefficient distribution that results in mistrust among stakeholders, because it has an impact on the decline and loss of value chain in quality and quantity. Integrity problems from the data collected were found in this study. These findings include the identification of various stakeholders, including farmers, importers to customers, and regulators, as well as their needs, which will be described through the use case, and BPMN. The results obtained are that the main actors (stakeholders) of the system are divided into farmers, importers, processing factories, headquarters, hauling services, and markets (customers) in the distribution of product information flow systems. Suggests tracking and tracing based on real-time data flow of product information coming from each actor in the sugar supply chain that is equipped with an accurate data distribution information support system.
Co-Authors A. Aziz Darwis A.A. Ketut Agung Cahyawan W AA Gede Rai Gunawan Abdul Aziz Adhi Kusnadi Adisalamun Adisalamun Agus Buono Agus Maulana Ahmad Dading Gunadi Aji Hermawan Alex Denni Alfian Nur Ubay Alim Setiawan S Alvian Abdul Jabar Anak Agung Gede Rai Gunawan ANDIYONO, ANDIYONO Andreas Murti Ani Suryani Anny Ratnawati Arief Rakhman Aries Suharso Arif Imam Suroso Asma Assa Aulijati Wachjudiningsih Bambang Mulyana Hermanto Bimahri Qaulan Tsaqiela Budhi Hascaryo Iskandar Bunasor Sanim Bustanul Arifin Casnan Casnan Catur Winarto Dadan Umar Daihani Darsasa Herdiana Anggriyanto Deasy Kartika Rahayu Kuncoro Deni Achmad Soeboer Dewi Auditiya Marizka Dewi Sondari Dian Ardifah Iswari Dian Junita Arisusanty Djumali Mangunwidjaja Djumali Mangunwidjaja Dorina Hetharia Edi Sukmadirana Eka Sudarmaji Ekaterina Setyawati Ekaterina Setyawati Eko Agus Prasetio Eko Subowo Eriyatno . Erliza Hambali Erliza Noor Erni Krisnaningsih Etty Riani Etty Susilowati Fadhillah Fairuzzahira Fajar Agustian Fajarina Budiantari Faqih Udin Farohaji Kurniawan Farohaji Kurniawan Fasika Khaerul Zaman Faza Adhzima Gibtha Fitri Laxmi Gunawan Gunawan Gusfa Arlian Putra Hartoyo Hartoyo Hartrisari Hardjomidjojo Herry Purnomo Herry Purnomo I Nyoman Sujana Idqan Fahmi Imam Ahmad Indah Yuliasih Indra Jaya Indrajani Sutedja Iphov Kumala Sriwana Irawadi Jamaran Irawadi Jamaran Irman Hermadi Irwansyah Saputra Iveline Anne Marie Iwan A Soenandi Iwan Sudirlan Jayawarsa, A.A. Ketut Joko Affandi Joko Affandi Joko Ratono Joko Ratono Julfi Restu Amelia, Julfi Restu Julia Kantasubrata Junardi Junardi Kadarwan Soewardi Kapelle, Imanuel B. D. Karlisa Priandana Khaswar Syamsu Kirbrandoko Kirbrandoko Kudang Boro Seminar Kunandi Kunandi Liesbetini Hartoto M. Syamsul Maarif M. Syamsul Ma’arif Machfud Machfud Machfud Machfud Machfud Machfud Marimin , Marimin Marimin Meidhianto Usman Meidhianto Usman Misgiyarta Misgiyarta Muhammad Agus Muljanto Muhammad Alkaff Muhammad Alkaff Muhammad Firdaus Muhammad Romli dan Suprihatin Andes Ismayana Muslich Muslich . Nora Azmi Nova Oktavia Nunung Nuryartono Nur Arifin Akbar Nur Choiriyati Nur Shabrina Nur Shabrina, Nur Ono Suparno Pamungkas, Wahyu Widji Petir Papilo Putri Yuli Utami Ratna Ekawati Ratna Ekawati Rina Oktaviani Rizal Bahara Rizal Broer Bahaweres Rizal Syarief Rizal Syarief Rizal Syarief Siaiful Nazli RR. Ella Evrita Hestiandari Samhuri, Refita Yunie Sapta Raharja Saputra, Irwansyah Sarinah Sarinah Siti Jahroh Sony Hartono Wijaya Sri Hartoyo Sri Nurdiati Sri Rahardjo Subowo, Eko Sudirlan, Iwan Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Suria Darma Tarigan Suripto Suripto Sutedja, Indrajani Syamsul Ma'arif Syamsul Ma’arif Syarifuddin Nasution, Syarifuddin Taufik Djatna Teguh Rahardjo Teja Primawati Utami Titi Candra S Titi Candra S. Titi Candra Sunarti Tobing, Adil Trias Andati Trisna Trisna Try Kusuma Wardana Tun Tedja Irawadi Umi Marfuah Velica Yoyellia Vonny Indah Sari Wibisono Chandra Widodo CK, Agus Puji Wilda Sukmawati Winarto, Catur Winnie Septiani Wisnu Ananta Kusuma Yonvitner - Yuana, Rivira Yudi Yudistira Zaman, Fasika Khaerul Zenal Asikin Zulfiandri Zulfiandri