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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 Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) 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 International Journal of Social Service and Research AGRI-TEK : Jurnal Penelitian Ilmu-ilmu Eksakta JURNAL TEKNIK INDUSTRI Mamangan Social Science Journal Journal of Scientific Research, Education, and Technology Policy Brief Pertanian, Kelautan, dan Biosains Tropika International Research Journal of Business Studies JURNAL REKAYASA KIMIA & LINGKUNGAN Warta Penelitian Perhubungan

Yandra Arkeman

Department Of Agroindustrial Technology, Faculty Of Agricultural Engineering And Technology, Bogor Agricultural University PO BOX 220, Campus IPB Dramaga, Bogor 16602

Author-ID : 233450

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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STRATEGI TEKNOLOGI DAN MANAJEMEN INOVASI INDUSTRI TEPUNG KASAVA FERMENTASI Misgiyarta Misgiyarta; M. Syamsul Maarif; Yandra Arkeman
JURNAL TEKNIK INDUSTRI Vol. 3 No. 1 (2013): Volume 3 No 1 Maret 2013
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Many technology research institutes and university research and development can not beapplied by the user community and industry. The result is less a role in improving the welfare ofsociety. Required critical reviews of technology and innovation management strategies togenerate technologies relevant to the needs of society and industry. The study was conducted bytaking the case of the cassava starch fermentation industry. The purpose of this study is (a)acquired technology strategy to improve the quality of fermented cassava flour, added value,competitiveness, and usability, as well as (b) obtained by way of management or management oftechnological innovation that fermented cassava flour can be applied to the industry, providingbenefits , benefits and further foster innovation. Technology strategy fermented cassava flourindustry in the form of: (1) the development of cassava starch fermentation, (2) development ofproduct diversity flour as necessary to market the composite flour technology, (3) flour over thedough expands when made, (4) development of a product of high nutritional value withfortification technology, (5) the development of a more rapid fermentation technology, (6) thedevelopment of fermented cassava flour production technology zero waste. Management ormanagement of innovation is done by: (a) search technology required product market (easy,cheap, fast), (b) selecting appropriate technology industry capacity, (c) development oftechnology that can be controlled, (d) select technology products required penndek term and longterm. Innovation management needs to be done properly so that the resulting innovation candiindustrikan, generate benefits, maximum and sustainable benefits. Management of innovationthat will either encourage the birth of new innovations that can applied in industry and providegreater benefits.

INOVASI PRODUK AGROINDUSTRI DARI PERSPEKTIF ANALISIS FUNGSIONAL CONTOH KASUS: TELUR ASIN ANEKA RASA Zulfiandri Zulfiandri; M. Syamsul Maarif; Yandra Arkeman
JURNAL TEKNIK INDUSTRI Vol. 3 No. 1 (2013): Volume 3 No 1 Maret 2013
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Agroindustry is important industry which necessary for economics of Indonesia.Many local products from agroindustry was developed by people initially as analternative for survival on. One of the product of local agroindustryknown long timewhich is developed by people are salty egg. Egg from duck is salted. Salty egg is one ofthe example how a product of agroindustry developed by entrepreneur of people andsmall scale business. By using functional analysis, which develop product pursuant tointrinsic function value of itself. Salty egg as one of the product of agroindustri can beaccepted by wider market that is conducted by product innovation. As examplesaremultivarious salty egg variant taste.

PREDIKSI PRODUKSI JAGUNG DALAM MODEL PENYEDIAAN TEPUNG JAGUNG PADA RANTAI PASOK JAGUNG Dorina Hetharia; M. Syamsul Ma’arif; Yandra Arkeman; Titi Candra S
JURNAL TEKNIK INDUSTRI Vol. 7 No. 1 (2017): Volume 7 Nomor 1 Maret 2017
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Corn flour as one of the products made from corn is an intermediate product. This product can be consumed directly, also can be used as raw materials in the food industry, feed industry and other industrial raw materials. In the supply chain system, corn flour industry is a part of the maize supply chain . To maintain the continuity of the flow of raw materials in the supply chain , the industry needs to provide corn flour that meets quantity with good quality according to consumer demand . It is closely related to the supply of corn as a raw material for corn flour. The provision of corn are also closely related to the availability of the amount of corn production obtained from the farmers. This paper discussed about prediction of maize production using artificial neural networks and a statistical forecasting . The input variables of corn production forecast in causal models were land and rainfall, while the output variable was the amount of corn production per month . The forecasting results would be used as input for the corn flour industry

PERANCANGAN MODEL PENERIMAAN DAN EVALUASI PESANAN PADA INDUSTRI KEMASAN KARTON YANG BERBASISKAN MAKE TO ORDER Nora Azmi; Irawadi Jamaran; Yandra Arkeman; Djumali Mangunwidjaja
JURNAL TEKNIK INDUSTRI Vol. 2 No. 1 (2012): Volume 2 No 1 Maret 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Nowadays, carton boxes are very popularly used, mostly in food industries, pharmacy and other consumer products. Most carton box industries work base on customer order (Make-to-order company), because most of carton box order are prepared for particular customer. Carton box are not only used for containing and protecting the product, but also functioned to inform the product to the customers. Make-to-order company has a high level of uncertainty such as the type and design of the product, the step of production, production time, cost, equipments and machine. This could create further problems; the overdue of order and completing process, and the acceptability of the product. This research is intended to design an order processing model for the carton box industry to accelerate order receipt process and evaluate the feasibility of the order. This paper focused on two models, those are the order entry model and order evaluation model. In order entry model, product code is given, and calculation model for needed raw material is made by using mathematical formulation. In order evaluation model, expert system and decision tree are used for analyzing the process capability and selecting machinery as well as designing the steps of production.

PENENTUAN JUMLAH PRODUKSI MENGGUNAKAN MODEL FUZZY MULTI OBJECTIVE LINEAR PROGRAMMING PADA INDUSTRI PANGAN (Studi Kasus Pada Industri Roti PT NIC) Iveline Anne Marie; Eriyatno Eriyatno; Yandra Arkeman; Dadan Umar Daihani
JURNAL TEKNIK INDUSTRI Vol. 2 No. 1 (2012): Volume 2 No 1 Maret 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Production Planning and Inventory Control (PPIC) activities in the food industry requires a reliable decision model to support the effectiveness and efficiency of PPIC function. Master Production Scheduling / MPS is one of the PPIC decision model that aims to get the number of items that must be produced by the company to meet consumer demand based on its production capacity. This research had been done in the food industry with a case study on PT NIC bread industry, using Fuzzy Multi Objective Linear Programming Model as a decision model to determine the amount of production.This model is an optimization model that was developed by utilizing the modified S-curve membership function for Fuzzy Linear Programming problems with the aim of minimizing costs and maximizing production utilization. This model is reliable enough to improve the functioning of PPIC in the food industry.

PENJADWALAN PESANAN MENGGUNAKAN ALGORITMA GENETIKA UNTUK TIPE PRODUKSI HYBRID AND FLEXIBLE FLOWSHOP PADA INDUSTRI KEMASAN KARTON Nora Azmi; Irawadi Jamaran; Yandra Arkeman; Djumali Mangunwidjaja
JURNAL TEKNIK INDUSTRI Vol. 2 No. 2 (2012): Volume 2 No 2 Juli 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

This research was intended to produce an order (job) scheduling model at Carton Packaging Industries (CPI) that is useful for giving information about the time delivery to customers. The proposed model is quite complicated because of the characteristic of Make to Order (MTO) varies production process greatly between each order. The job’s schedule for CPI is prepared for production process that consists of 5 stages where in each stage uses different type of machinery. Not all jobs can be processed by all machines at a given production stage. Every job flow through 5 stage in the same order, but not all stages have to visited by all jobs. Stages may be skipped for a particular job. This condition makes CPI is classified as Hybrid and flexible flowshop for machine eligibility (HFFME). HFFME is complicated and is difficult to calculate by using conventional heuristic model. This research used genetic algorithm for solving the complex problem of HFFME and the resulting model called the Genetic Algorithm for hybrid and flexible flowshop with machine eligibility (GA-HFFME). This model is developed to minimized makespan, the objective of scheduling. The experiment was conducted towards 11 orders and it was found that the GA-HFFME is effective to solve that problem.

Implementation of ethereum blockchain on transaction recording of white sugar supply chain data Ratna Ekawati; Yandra Arkeman; Suprihatin Suprihatin; Titi Candra Sunarti
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp396-403

The complex supply chain system for the sugar agroindustry supply chain involves many actors, resulting in the asymmetry of information data. It still leads to a lack of data transparency. In the past, data traceability could not be made efficient at every stage, so the record data transaction was not real-time, less accurate, and inefficient coordination between actors. Blockchain is one of the technologies in the 4.0 era as a distributed ledger technology. It can be transparency, traceability, security, immutability, and decentralization. This study aims to design a white sugar agroindustry system based on blockchain technology using the SDLC waterfall stage public. Ethereum is a proof-of-work convention based on the Ropsten test-net on the Metamask wallet. The sugar supply chain system that has been successfully developed allows consumers to track the purchased sugar products based on the transaction hash code sent by the seller. The data listed is the location of the plantation, the quantity (quintal) and quality of sugarcane (percentage), and the purchase price. A web-based blockchain application could be used as a model by national sugar factories to help them make enough sugar food for themselves.

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

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

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.

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

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.

Co-Authors A. Aziz Darwis A.A. Ketut Agung Cahyawan W AA Gede Rai Gunawan Abdul Aziz Adisalamun Adisalamun Agus Buono Agus Maulana Ahmad Dading Gunadi Aji Hermawan Alfian Nur Ubay Alim Setiawan S Alvian Abdul Jabar Anak Agung Gede Rai Gunawan ANDIYONO, ANDIYONO Andreas Murti Ani Suryani Ani Suryani Anny Ratnawati Arief Rakhman Aries Suharso Arif Imam Suroso Arisusanty, Dian Junita 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 Denni, Alex Dewi Auditiya Marizka Dewi Sondari Dian Ardifah Iswari Djumali Mangunwidjaja Djumali Mangunwidjaja Djumali Mangunwidjaja Dorina Hetharia Edi Sukmadirana Eka Sudarmaji Ekaterina Setyawati Ekaterina Setyawati Eko Agus Prasetio Eko Ruddy Cahyadi 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 Hari Wibisono 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 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 kusnadi, adhi Liesbetini Hartoto M. Syamsul Maarif M. Syamsul Ma’arif Machfud Machfud Machfud Machfud Machfud Machfud Marimin , Marimin Marimin Meidhianto Usman Meidhianto Usman Mira Maulida 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 Retno Astuti Rina Oktaviani Rinaldo, Rico Rini Prasetyani, Rini Rizal Bahara Rizal Broer Bahaweres Rizal Syarief Rizal Syarief Rizal Syarief Siaiful Nazli Roedhy Poerwanto RR. Ella Evrita Hestiandari Samhuri, Refita Yunie Sapta Raharja Saputra, Irwansyah Sarinah Sarinah Setiadi Djohar Siti Jahroh Sony Hartono Wijaya Sri Hartoyo Sri Nurdiati Sri Rahardjo Subowo, Eko Sudirlan, Iwan Sugiarto S Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Suprihatinr, Suprihatinr Suria Darma Tarigan Suripto Suripto Sutedja, Indrajani Syamsu , Khaswar 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 Wardhani, Ratih Anindita 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

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