Article Per Year (5 Year)
p-Index From 2021 - 2026
8.951
P-Index
This Author published in this journals
All Journal TEKMAPRO Journal of Industrial Engineering and Management JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Briliant: Jurnal Riset dan Konseptual Jurnal Bisnis dan Manajemen PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Journal of Research and Technology EKONOMIS : Journal of Economics and Business Tibuana : Journal of Applied Industrial Engineering Jurnal INTECH Teknik Industri Universitas Serang Raya MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Pengabdian Al-Ikhlas JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI International Journal of Economics Development Research (IJEDR) Nusantara Science and Technology Proceedings International Journal of Eco-Innovation in Science and Engineering (IJEISE) Indonesian Journal of Industrial Engineering & Management Juminten : Jurnal Manajemen Industri dan Teknologi Journal La Multiapp Jurnal Algoritma Journal of Scientech Research and Development Student Scientific Creativity Journal Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS IIJSE The Indonesian Journal of Computer Science Jurnal Abdimas Peradaban Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Venus: Jurnal Publikasi Rumpun Ilmu Teknik INOVTEK Polbeng - Seri Informatika
Dwi Sukma Donoriyanto
Universitas Pembangunan Nasional Veteran Jawa Timur
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation

Published : 84 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 84 Documents
Search

 3   4   5   6   7 
Penerapan Metode Six Sigma dan Failure Mode Effect Analyze Untuk Meminimalisasi Defect di PT. ABC Handy Natan Permana; Dwi Sukma Donoriyanto
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 2 No. 1 (2024): Februari : Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v2i1.79

Abstract

This study aims to determine the number of rejected products (products that do not meet consumer and company standards) for 220 mL cup products using the six sigma method with 5 stages (define, measure, analyze, improve, and control) which will then be given improvement recommendations using failure mode effect analyze (FMEA). After going through the calculation process, it is known that the company's Deffect Per Million Opportunity (DPMO) value is 3.67 which indicates that the percentage of production without deffects is 96.32%. There are four critical to process (CTQ) in the 220 mL cup defect and the largest is the skewed seal with a percentage of 70%. The results of calculations using risk priority number (RPN) found recommendations in the form of corrective actions in 80% of the group of causes of oblique seal deffects so that it is hoped that the company will review and make improvements to the proposal so as to reduce deffects per million opportunity (DPMO) in the 220 mL cup production unit.
Quality Control Analysis to Reduce Instant Noodle Product Defects with Six Sigma and Kaizen Method Isna Nugraha; Dwi Sukma Donoriyanto
Nusantara Science and Technology Proceedings 4th International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3633

Abstract

PT. XYZ is a company operating in the food industry, with its main product being instant noodles. In its production process, not all products produced meet the quality standards set by the company. This indicates the presence of defective products, often due to errors in factors such as machinery or human resources, among others. Initial observations reveal that there are still many defects in their products. Quality control at PT. XYZ is done manually by the owner, who supervises each production cycle. Defects in PT. XYZ's products are categorized into three types: torn noodle packaging, crushed noodles, and torn seasoning packaging. Therefore, improvements are needed in the production of instant noodles by PT. XYZ. This research aims to improve the quality of production in the company and to explain the approach to analyzing the defect rate of instant noodles using Six Sigma and Kaizen. The results obtained using the Six Sigma method in the DMAIC analysis (Define, Measure, Analyze, Improve, Control), showed that product quality testing during the instant noodle production process resulted in 3238 failures. The Defects Per Million Opportunities (DPMO) value was 41172.88, which, when converted to a sigma level, was 3.23, indicating that the sigma level was at the industry average in Indonesia. This suggests that there is a potential for 41172.88 defects per one million productions, showing an inconsistent pattern of DPMO and sigma achievement. This indicates that the production process has not been managed accurately and requires improvement, particularly in the quest for zero defects.
Analysis of Quality Control of Bread Products Using the Seven Tools Method and Kaizen in Banana Bread Shop Jombang Khakiki, Elin Ken; Donoriyanto, Dwi Sukma
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22205

Abstract

Banana Bread Shop Jombang is a micro company engaged in the food industry by producing sweet bread with various variants. However, in the production process there are still defects in the product, there by reducing the quality of the bread production. The purpose of this study was to minimize defects in Mexican chocolate bread products produced by Banana Bread Shop Jombang by conducting an analysis using the seven tools and kaizen methods in the production process. The data collection technique used was interview, observation and documentation methods during March-May 2023. The results of the analysis showed that the types of defects that occurred in Mexican chocolate bread products were non-standard forms, burnt, flat, and cut by the packaging machine. Based on the four types of disability, flat is the most dominant with a total of 2.198 pcs. The occurrence of defects in mexico chocolate bakery products is caused by 5M factors: man, methods, machines, materials, and milieu. Improvements made to minimize the occurrence of defects in Mexican chocolate bread are by implementing the kaizen method.
System Dynamic Approach to Analyzing the Watermelon Supply Chain in Sidoarjo, East Java Ubaiyi, R. Vanji Abdillah; Donoriyanto, Dwi Sukma; Rahmawati, Nur
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22388

Abstract

The supply chain system will greatly affect the distribution channel that will be targeted, thereby affecting the availability of products and also the fulfillment of needs for the community. Sidoarjo Regency has the potential to produce watermelons independently; this is supported because Sidoarjo Regency is included in the Gerbangkartasusila region, with Surabaya City as one of the main supporting districts. Watermelon fruit has a very abundant amount of production in Sidoarjo Regency, but watermelon fruit is a seasonal fruit with erratic public consumption and tends to decrease, causing an excess supply of watermelon. Therefore, this research was conducted to determine supply chain behavior, then model and simulate it, as well as design a model for improving the watermelon supply chain in Sidoarjo Regency. Through a system dynamics simulation approach using Vensim software, the results show that the amount of watermelon stock in Sidoarjo is affected by production, consumption, and depreciation values. Then, the current total production of watermelons will be 1110 quintals in 2021. Through a simulation of the improvement model design with the addition of other regional distributions and the assumption of a distribution of 350 tons/year for the next 5 years, the supply of watermelons is still able to meet the needs of the people of Sidoarjo Regency. The improvement model reduces excess inventory in Sidoarjo Regency.
Pemetaan Wilayah Desa di Kabupaten Kediri dengan Data Mining PAMUNGKAS, CATUR ARTA; DONORIYANTO, DWI SUKMA
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 9, No 2 (2024): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v9i2.124-134

Abstract

ABSTRAKKediri yang terdiri dari beberapa wilayah memiliki kelebihan dan kekurangan sehingga perlu diketahui potensi wilayahnya agar dapat mencukupi satu sama lain. Potensi wilayah ini dapat dilakukan dengan pemetaan menggunakan metode complate linkage, metode klasifikasi, dan analisis biplot berdasarkan potensi wilayah tiap desa. Dengan metode ini penyebaran dan sifat data secara heterogen serta heterogen dapat diketahui. Maka penelitian ini memiliki tujuan untuk mengetahui pengelompokan desa, keragaman variabel potensi, dan korelasi keunggulan tiap wilayahnya. Penelitian ini memanfaatkan data dari Badan Pusat Statistik tahun 2018 hingga 2023 agar mudah diketahui wilayah yang memiliki kekuatan komoditas wilayah dengan melihat sumber daya manusianya. Hasil dari penelitian ini menunjukkan nilai complate linkage sebesar 17859125, pada metode kalsifikasi variabel jumlah SMA homogen dan variabel kepala keluarga heterogen, sedangkan untuk analisis biplot menghasilkan nilai sebesar 75,6%.Kata kunci: Analisis Biplot, Data Mining, Kediri, Faktor variabel, Pemetataan wilayahABSTRACTKediri has several regions that have advantages and disadvantages, so it is necessary to know the potential of the regions so that they can be sufficient for each other. This regional potential can be done by mapping using the complate linkage method, classification method, and biplot analysis based on the regional potential of each village. With this method, the distribution and heterogeneous nature of data can be known. So this research aims to determine village groupings, the diversity of potential variables, and the correlation between the advantages of each region. This research utilizes data from the Badan Pusat Statistik 2018 to 2023 so that it is easy to identify regions that have regional commodity strengths by looking at their human resources. The results of this research show a complate linkage value of 17859125, in the classification method for the variable number of homogeneous high school students and the variable for heterogeneous family heads, while the biplot analysis produces a value of 75.6%.Keywords: Area mapping, Biplot Analysis, Data Mining, Kediri, Variable factors
PENYULUHAN STRATEGI PEMASARAN USAHA PRODUK MINUMAN HERBAL TELANG PANJARE DI DESA GUNUNG ANYAR Widjajati, Endang Pudji; Aryanny, Enny; Donoriyanto, Dwi Sukma
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 2 (2024): April
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i2.630

Abstract

Dalam melakukan suatu usaha, dipelrukan strategi pemasaran yang tepat sesuai dengan target dan permintaan pasar agar usaha tersebut dapat menghasilkan keuntungan dan bertahan di tengah persaingan dengan produk kompetitor. Salah satu usaha yang dapat dijalankan oleh warga Desa Gunung Anyar, Surabaya adalah dengan memproduksi Minuman Herbal Telang PANJARE dan memasarkannya dengan memanfaatkan sosial media serta e-commerce. Kegiatan penyuluhan dilakukan oleh Tim Abdimas UPN “Veteran” Jawa Timur tidak hanya membahas tentang proses produksi, namun strategi pemasaran yang tepat meliputi penentuan segmentasi pasar, strategi bauran pemasaran, dan timing strategy. Selanjutnya akan diberikan contoh pembuatan business model canvas (BMC) yang bertujuan untuk mempermudah warga dalam memahami dan mengimplementasi metode strategi pemasaran yang tepat untuk usaha Minuman Herbal Telang PANJARE. Kata kunci: Minuman Herbal, Penyuluhan, Strategi Pemasaran
Optimization of Preventive maintenance with Downtime and Setup Time Using Goal Programming Method at XY Sugar Factory Abdul Rouf, Imron; Donoriyanto, Dwi Sukma
Tekmapro Vol. 20 No. 1 (2025): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

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

Abstract

This research analyzes downtime and setup time at XY Sugar Factory for the period May 2023 to September 2023. The main objectives of the study were to evaluate the difference between the actual downtime and setup time and the set targets, as well as optimize operational efficiency through the Goal Programming method. The results showed that the actual downtime at Boiler, Mill, and Power House stations exceeded the target, with a significant positive deviation. Similarly, setup times at all stations were higher than the set targets. Overall, the actual total downtime and setup time exceeded the target with a large positive deviation. This study suggests strengthening the preventive maintenance system, managing setup time more efficiently, and adjusting targets to improve efficiency. The results of this study are expected to provide practical recommendations in reducing downtime and setup time and increasing plant productivity. Keywords: Downtime, Setup Time, Goal Progamming
Optimization Of Raw Material Inventory for Rayon Yarn at CV XYZ Using the EOQ-Lagrange Multiplier Method and Theory Of Constraint Virga, Avril; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4559

Abstract

CV XYZ is a manufacturer of woven sarong in East Java. The problem faced challenges with excess rayon yarn inventory, leading to overcapacity in storage and high costs. Additionally, suppliers' minimum order requirements exacerbate the issue. This study uses the Lagrange Multiplier and Theory of Constraint methods to optimize rayon yarn inventory to minimize costs and storage needs. The results reveal an adjusted storage space requirement of 84 m³, with details of the total storage space and the minimum order quantity, namely rayon yarn R80/2 of 28.32 m³ (147 boxes), R60/2 of 25.80 m³ (134 boxes), and R32/2 of 29.88 m³ (155 boxes). This method also reduces the total inventory cost to IDR 30,640,592, achieving a remarkable 84.61% saving (IDR 168,574,408) compared to the company's current process. The findings demonstrate that combining Lagrange Multiplier and TOC effectively addresses storage limitations, optimizes order quantities, and minimizes inventory costs.
Implementation of Data Mining to Analyze Consumer Purchasing Patterns at CV XYZ Using the Apriori Algorithm Sulistyo Wibowo, Arief; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4652

Abstract

CV XYZ is a retail store located on Jl. Tidar, Surabaya, East Java, specializing in the trade of industrial and household chemical products. To remain competitive amid rapid technological advancements and increasing competition in the area, CV XYZ has adopted online sales through the Shopee platform. This study aims to analyze consumer purchase patterns using the Apriori algorithm based on sales transaction data to support effective and efficient marketing strategies. Based on the analysis, five purchasing patterns were identified: (1) if Silicon Oil is purchased, Counterdust will also be purchased with a support value of 0.391 and a confidence value of 0.818; (2) if Cocamidopropyl Betain is purchased, Counterdust will also be purchased with a support value of 0.391 and a confidence value of 0.857; (3) if Car Shampoo is purchased, Counterdust will also be purchased with a support value of 0.359 and a confidence value of 0.868; (4) if Talc is purchased, Counterdust will also be purchased with a support value of 0.348 and a confidence value of 0.842; and (5) if Linear Alkylbenzene Sulfonate is purchased, Counterdust will also be purchased with a support value of 0.359 and a confidence value of 0.892. These findings indicate that data mining techniques using the Apriori algorithm provide an effective approach for identifying consumer purchasing patterns of chemical products sold online through the Shopee platform. This insight can help businesses optimize their marketing strategies and decision-making processes.
Logistics Distribution Route Design Using Taboo Search Method Nugraha, Yaskie Cahyana Septiviandra Ade; Donoriyanto, Dwi Sukma; Nugraha, Isna
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1789

Abstract

Logistics, as the science and art of managing goods, energy, information, and other resources, plays a vital role in the economy through shipping, receiving, warehousing, and distribution. Optimal routes can reduce travel distances and maximize transport capacity, optimize resource use, and reduce the environmental impact of logistics activities. PT Spectrum Indo Transport is a logistics company serving the Java-Bali region with 40 trucks, including wingbox, colt diesel, and colt diesel long. However, the company often experiences delays in delivery. The largest demand is for 275 gram cereals distributed to the East Java region. The East Java region includes Malang (3,100 kg), Mojokerto (2,500 kg), Gresik (2,500 kg), Lamongan (2,300 kg), Nganjuk (2,700 kg), and Surabaya (2,300 kg). The fleet chosen is a colt diesel with a capacity of 5 tons due to high consumer demand. The company wants to optimize the distance of the delivery route to prevent delays in the distribution of goods. The purpose of this study is to improve the efficiency of the delivery of the Colt Diesel Box fleet in East Java carried out by PT Spectrum Indo Transport through the application of the Tabu Search method in determining the distribution route. It is expected that by implementing Tabu Search, the company can achieve more efficient delivery. With the shortest route, it will provide an optimal influence on the delivery of goods and can meet delivery on time.
Co-Authors Abdul Rouf, Imron Achmad Gufron Adelia Hernalis Agustin Afiady Fitsal Ubaidillah Agraprana, Al Aileen Al Habri, Muhammad Anjab Al-Zaher, Abdulqader Ali, Munawar Amanullah Fathurrahman Ananta Agung Purwoko Anggarnis Dwikalyana Ardyani Anthony Surya Wirawan Ardlianti , Rana Atikah Ardlianti, Rana Atikah Ardyani, Anggarnis Dwikalyana Ario Adityawarman Avril Firda Amelia Dessy Indra Puspitasari Dewi, Ratna Sari Dewi2 Dzannisa Ghotrun Nada Endang Pudji W Endang Pudji Widjajati Enny Aryanny Erlina Purnamawati Erwan Adi Saputro Fajrina Rizki Izzati Fanani, Syahrul Nur Farida Pulansari Farrel Azriel Septrianto Fawwazy , Neyzard Alby Firmansyah, Mokhamad Ghani, Mukhammad Rivaldi Gladies Putri Suprapto Handoyo Handoyo Handy Natan Permana Imam Qulub Mustaqim Indah Yansi Nofianto Indiyanto, Rus Iriani Iriani Irma Dian Isna Nugraha Isna Nugraha Juliardi A. R., Naniek Ratni Kartikasari, Bintang Andita Khakiki, Elin Ken Laksono Trisnantoro Laurentius Urip Widodo Liora Darista Zahra M. Wildan Kautsar Masdani Irfan Prakoso Karmawan Mega Cattleya Prameswari Annissaa Islami Moch Abu Naim Moch Tutuk Safirin Mohammad Nailul Falah Muhammad Miftahul Hamdi Naniek Ratni Juliardi A.R Noventya Cahyani, Salma Nugraha, Isna Nugraha, Yaskie Cahyana Septiviandra Ade Nur Rahmawati Nur Rahmawati Nur Rahmawati NUR RAHMAWATI PAMUNGKAS, CATUR ARTA Prasetya, Adi Tulus Prasetyo Ari Bowo, Prasetyo Ari Rahsya Akbar Muhammad Amin Rana Atikah Ardlianti Rangga Dwi Saputra Rendy Christian Riamto, Mohammad Shodiq Wahyu Rizky Setiawan Rizquina Aldila Putri Rofiatul Adawiyah Rus Indiyanto Safirin, M. Tutuk Safirin, Moch Tutuk Satriya Dwi Santoso Satya Winarung Ekauji Shania Andra Fitriana Sholihin, Qouman Siswanto Moenandar Siswanto Moenandar Strada, Yoga Andys Sulistyo Wibowo, Arief Sumiati Sumiati Syamsi, Muhammad Nabighoh Badarus Syamsiah, Yuliatin Ali Tegar Garin Widodo Teo Billy Chandra Yunanto Tranggono Tranggono Tranggono Tranggono Tranggono Tranggono Ubaiyi, R. Vanji Abdillah Ulfa Chusnia Wahyunita Umami, Amastasia Cindy Virga, Avril Wahyu Kurniawan Wening, Marshanda Citra Widjajati, Endang Pudji Yekti Condro Winursito Yuliatin Ali Syamsiah Yuliatin Ali Syamsiah Yuniar Nur Latifah Yustina Ngatilah Zharfan Hamzah Zulfiqa Irfidianis Ifada