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All Journal Biospecies Edu-Sains: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Jurnal Natur Indonesia AL KAUNIYAH SPEKTRUM INDUSTRI TEKMAPRO Journal of Industrial Engineering and Management Inspiratif Pendidikan Edukasi: Jurnal Pendidikan dan Pengajaran OPERATION EXCELLENCE: Journal of Applied Industrial Engineering PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Jurnal Penelitian Pendidikan IPA (JPPIPA) JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Metode : Jurnal Teknik Industri Jurnal Biologi Tropis Tibuana : Journal of Applied Industrial Engineering Martabe : Jurnal Pengabdian Kepada Masyarakat BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains Jurnal Iktiologi Indonesia (Indonesian Journal of Ichthyology) Industri Inovatif : Jurnal Teknik Industri Matrik : Jurnal Manajemen dan Teknik Industri Produksi Dedikasi: Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Law and Economics Review Jurnal Filsafat Indonesia Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Indonesian Journal of Innovation Studies BIOMA : Jurnal Biologi dan Pembelajarannya Jurnal Literasi Pendidikan Fisika (JLPF) Jurnal Pengabdian Masyarakat Akademisi PELS (Procedia of Engineering and Life Science) Jurnal Teknologi dan Manajemen Industri Terapan Takuana: Jurnal Pendidikan, Sains, dan Humaniora Jurnal Karya Abdi Masyarakat Journal of Fish Health MIMBAR INTEGRITAS Jurnal Pengabdian Masyarakat Pinang Masak Innovative Technologica: Methodical Research Journal Physical Sciences, Life Science and Engineering Journal for Technology and Science Biodik: Jurnal Ilmiah Pendidikan Biologi Jurnal Natur Indonesia IJOT Widya Teknik Academia Open Biodiversitas Journal of Biological Diversity International Journal of Economic Integration and Regional Competitiveness

Tedjo Sukmono

Program Studi Teknik Industri Universitas Muhammadiyah Sidoarjo

Author-ID : 390562

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Determination of Preventive Maintenance Time Intervals on Nail Making Machines Using Reliability Centered Maintenance (RCM) II . Method Muhammad Arizki Zainul Ramadhan; Tedjo Sukmono
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 2 (2018): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i2.1349

With the increasing needs of productivity and the use of high technology in the form of machines and production facilities, the need for maintenance functions is growing. At PT. Surabaya Wire that produces nails and wires of problems that arise especially related to damage to nail making machine, it causes the hours to stop (downtime) and delay in the production process so that the engine performance becomes less effective. The purpose of the research is to determine the time interval schedule of care and know the action or maintenance activities to be done. To solve the problem in this research using Reliability Centered Maintenance (RCM) II method with Failure Modes and Effect Analyze (FMEA) calculation. RCM II defined a process used to determine what should be done for machine maintenance, whereas for FMEA it is defined as a method to identify the highest failure form on any machine malfunction. From the calculation result using FMEA and RCM II, we got treatment interval result on side shaft component (metal handlebar) with maintenance interval for 63 hours, for crank shaft component (metal road) with maintenance interval for 81 hours, and for Electric motor component with maintenance interval for 374 hours.

Perencanaan Jumlah Bahan Baku Produksi Soda Caustic PT. XK Dengan Metode Algoritma K-Nearest Neighbour Abdul Rohman; Tedjo Sukmono
Jurnal SENOPATI : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Vol 2, No 1 (2020): Jurnal SENOPATI Vol.2 No.1
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.senopati.2020.v2i1.924

Dalam proses kegiatan produksi soda caustic PT. XK, Maka diperlukannya perencanaan kesiapan bahan baku utama berupa garam granul (NaCl) yang diharapkan tepat perencanaan dengan melakukan prediksi pada ketersediaan bahan baku utama menggunkan metode algoritma K- Nearest Neighbour hingga bisa membantu perusahaan dalam merencankan jumlah bahan baku utama untuk kelancaran kegiatan industri. Dengan begitu PT.XK dapat menjamin kelancaran kegiatan produksi dan kapasitas produksi untuk melayani permintaan konsumen pada produk soda caustic (NaOH). Algoritma K- Nearest Neighbour merupakan proses mining data yang tergolong dalam kategori machine learning (supervised learning) yang berdasarkan pada basis instance atau kedekatan antara data latih dan data uji dengan rumus eucledian distance guna mencari hasil jarak terdekat. Dalam melakukan prediktif untuk perencanaan yang diinginkan maka perlu mengukur tingkat keakurasian data, data recall, data presisi dan kurva ROC (receiver operating characteristic). Maka berdasarkan penelitian yang dilakukan mendapatkan hasil prediktif guna merencanakan jumlah bahan baku selama satu periode yang akan datang dengan keakuratan data prediksi sebesar 92,67%, dengan perbandingan data recall dan presisi data, sehingga menghasilkan kurva ROC (receiver operating characteristic) sebesar 0,75 dimana prediksi tergolong cukup baik.

Peningkatan Pembelajaran Biologi Melalui Contoh-Contoh Kontekstual Bagi Guru-Guru MGMP di Kabupaten Tanjung Jabung Barat-Jambi-Indonesia Ali Sadikin; Asni Johari; Tedjo Sukmono; Muhammad Erick Sanjaya; Desfaur Natalia
JPM: Jurnal Pengabdian Masyarakat Vol 1 No 1 (2019): Januari-Juni 2019
Publisher : Pusat Pengabdian Masyarakat (PPM) Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) Institut Agama Islam Negeri (IAIN) Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (610.266 KB)

Berdasarkan survey di MGMP Biologi di Kabupaten Tanjung Jabung Barat diperoleh data bahwa guru-guru biologi disana mengalami kesulitan dalam membuat perangkat pembelajaran biologi yang berbasis contoh-contoh kontekstual. Maka dari itu tim pengabdian FKIP Universitas Jambi merasa terpanggil untuk membantu guru-guru biologi tersebut. Metode pelatihan yang akan dilaksanakan di MGMP Tanjung jabung Barat adalah mengindentifikasi materi-materi biologi yang memerlukan contoh-contoh kontekstual. Kemudian mendesain pembelajaran biologi dengan memasukkan contoh-contoh kontekstual. Memberikan ketrampilan mengindentifikasi contoh-contoh kontekstual yang dapat dijadikan media yang ada dilingkungan sekitar. Mengevaluasi ketercapaian peningkatan pembelajaran biologi melalui contoh-contoh kontekstual. Kegiatan pengabdian ini dilaksanakan pada tanggal 31 juli 2019 bertempat di SMA N 1 Tanjung jabung barat. Diikuti oleh 20 orang guru biologi yang tergabung dalam MGMP (Musyawarah Guru Mata Pelajaran) Biologi. Kegiatan PPM ini dibuka oleh Ketua MGMP Tanjung Jabung barat dan dihadiri oleh Kepala SMA N 1 Tanjung Jabung Barat. Dalam kegiatan ini diikuti secara antusias oleh guru-guru biologi. Materi disampaikan oleh bapak Ali sadikin, M.Pd tentang peningkatan pembelajaran biologi melalui contoh-contoh kontekstual. Diawali dengan materi pendekatan pembelajaran kontekstual secara umum kemudian lebih ditekankan pada learning comunity yang merupakan bagian penting dalam pembelajaran kontekstual. Disini guru sangat antusias karena guru diajarkan bagaimana mencari literasi dengan sci-hub, dan pdf drive. Guru sangat mengikuti dan bertanya tentang bagaimana menggunakan sci-hub untuk mencari jurnal internasional dan nasional. Ditambah penggunaan pdf drive untuk mencari buku-buku elektronik secara gratis tanpa perlu membeli. Guru-guru mengikuti kegiatan pengabdian ini sampai selesai dan berharap tahun depan diadakan lagi. Kata kunci: Pendakatan Kontekstual, Guru, MGMP

Entertainment Cost Efficiency Analysis With Data Envelopment Analysis (Dea) And Fuzzy Logic (Flp & C-Iowa) Approach To Sales Level Dwi Kakung Saputro; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 1 (2021): Proceedings of the 1st Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

It caused some problems regarding to calculation and measurement of costs which is issued for the level of efficiency desired by the company, namely PT. LLL Surabaya. From the results of measurements and analysis, it shows that system has objective value in “efficient” category. Therefore, the ranking results of regional operating system (DMU3) are the most optimal in terms of sales capacity, which is Rp. 11,745,050,779. It is caused by the impact of providing these costs. Based on the decision-making preferences related to the entertainment costing system, (CI) value is 0.18 for (P1) and 0.03 for (P2). It means that marketing department has more preference for entertainment costing system should be given constantly with the aim that total sales capacity can continue to increase.

Forecasting Production Trafo to Get SDOH Using Seasonal ARIMA Method in PT. XYZ Muhammad Dio Dwi Septian; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

In the production process at PT. XYZ has a fluctuating data pattern and contains seasonality. This resulted in a reduction in the company's operational efficiency and difficulty in preparing supplies to meet uncertain demand. The method according to the demand pattern at PT. XYZ in this transformer product is the SARIMA method. The results of forecasting on transformer production at PT.XYZ gets the SARIMA(1,0,1)(1,1,1) model with influenced by the results observed at 13 weeks and errors at 14 weeks ago. The results of this forecast are used in determining the safety stock in 2021 with regard to SDOH. The SDOH planning in January 2021 will run out in 30 days with a stock plan of 838 units LV Busing so that a company policy needed to increase or decrease the stock plan if SDOH is below or above 30-35 days.

Forecasting Needs Of Mountain Types Of DDD Bike Using The Seasonal Autoregressive Integrated Moving Average Model Approach Didin Muhjidin; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

One of the bicycle manufacturers in Indonesia, namely PT. DDD is a manufacture engaged in the production of various types of bicycles with a make to stock production system. Market demand that fluctuates every year results in a lack of readiness to meet market needs. So a re-planning is needed in order to meet all market demands. The Box Jenkins statistical method, the Seasonal Autoregressive Integrated Moving Average model, is one of the appropriate approaches to solve problems at PT. DDD. The advantages of the SARIMA model can be used to forecast seasonal or non-seasonal time series simultaneously. The best SARIMA model approach to forecasting demand for mountain bikes at PT. DDD is SARIMA (0,0,0)(0,1,1)12 with the equation Zt=Zt-12+ΘQat-12+at with the smallest MAPE value of 32.35%. So that the model is said to be feasible to predict mountain bikes and the model can predict up to 12 periods in 2021.

Planning Total Veener Production PT. XYZ Krisna Risky Putra Irawan; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

PT. XYZ is engaged in the manufacture and sale of wood veneers. Starting from the constant occurrence of over stock, now the company must make improvements to the production forecasting process so that over stock can be avoided. It can be seen that accurate production forecasting can create conditions for an effective and efficient production system. This study aims to obtain a more accurate forecast of material requirements using the Support Vector Regression (SVR) method, which is the result of the development of a Support Vector Machine (SVM) which has good performance in predicting time series data. Application of the Support Vector Regression (SVR) method with the RBF kernel in predicting the need for veneer production using the MATLAB application, it produces the smallest error rate with a MAPE of 5%, RMSE of 4364.63 and of 0.748274147. on 67 training data and 20 testing data.

Forecasting the Number of Offset Printing Machine Breakdowns Using the Support Vector Machine (SVM) Metdhod Nafis Khumaidah; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

PT. MJT is a company engaged in manufacturing that produces various types of plastic tubes for cosmetic packaging. Production activities at PT. MJT uses an intermittent process, which in the printing division requires a longer total setup time because this process produces various types of specifications of goods to order. This has an effect on the amount of engine breakdown. The purpose of this research is to try the method of forecasting the number of breakdowns for offset printing machines at PT. MJT. One of the methods used in this research is the Support Vector Machine method. Support Vector Machine is a method that can help predict the number of breakdowns that will be experienced by the offset printing machine at PT. MJT. Support vector machine is a method that can reduce the error value in forecasting compared to other methods. From this research, it is hoped that it can produce a forecast of the number of breakdowns for offset printing machines at PT. MJT for a period of one year or twelve periods.

Productivity Measurement Analysis Using Multi Factor Productivity Measurement Model (MFPMM) At PT. Primabox Adiperkasa Much Syafiudin; Boy Isma Putra; Ribangun Bamban Jakaria; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1250

PT Primabox Adi Perkasa is a company located on Jl. Jaksa Agung Suprapto, Sumber Gedang, Pandaan, Pasuruan. This company is engaged in manufacturing, namely the production of cardboard boxes. This company can produce up to 550,000 pcs of cardboard boxes per year, employing 300 employees. The problem that arises in the company is caused by changes in the price of raw materials or materials which make changes in costs that must be considered in the production proces. Measuring productivity by using the Multi-Factor Productivity Measurement Model (MFPMM). This method is used to make it easier to measure changes in previous performance, controllers, and controllers of current company performance and can assess and evaluate the effect of profitability resulting from changes in productivity.The results of the research on Productivity Measurement Analysis Using the Multi-Factor Productivity Measurement Model (MFPMM) obtained the productivity index of used cardboard 89.69%, glue 97.72%, electricity 100.79%, fuel 82.24%, oil 109.61%, and The workforce is 123.75%.

Continuous Ship Unloader Availability Analysis Using Association Rules Method with Apriori Algorithm Radiana Atika Sari; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1266

Petrokimia Gresik is a company engaged in the argo industry. In an effort to increase productivity, PT. Petrokimia Gresik has a special port used for loading and unloading activities. During loading and unloading activities, special equipment is needed to make it easier to move cargo. Not infrequently this equipment suffers damage that is not known what object affects the damage. Based on the 2021 Asset Utilization Data, internal tools whose availability is still below the target of more than 1% are CSU I and 81.66%. The percentage of equipment availability that is below the target causes the process of unloading raw materials to be not optimal and can cause demurrage costs or company fines to the ship if the cause of the damage is not immediately identified and addressed. This study aims to help companies obtain information about objects that affect CSU I and CSU II experiencing breakdowns. The role of data mining that will be used in this research is association rules with a priori algorithms. Data processing is assisted by Microsoft Excel, RapidMiner software and WEKA software. There are no association rules that are formed with the application of a minimum support value of 50% and a minimum value of 50% confidence, both in CSU I and CSU II data processing. The association rules formed by applying a minimum support value of 20% and a minimum confidence value of 50% for CSU I data processing are 3 rules, while the association rules obtained for CSU II data processing are 2 rules. Based on the rules formed in CSU I and CSU II, the breakdown item that is likely to be damaged is Vertical – Motor 2M1.

Co-Authors Abdul Rohman Abdul Rohman Adistyas Nastiti, Octavia Afreni Hamidah Agung Laksono Agus Subagyo Ahmad Fikri Ardianto Alfian Fajar Gunawan Ali Mashar Ali Sadikin Ali Sadikin Amatullah, Dhiny Angela, Fitrah Cornellya Apriliana Sari Wulandari, Indah Arba, Risqi Mutia Ardiansyah Eko Saputra Arifin , Zainul Arinda Jayanti Putri Askhaarina Aulia Tsalits Asni Johari Asrial Asrial Atika, Dewi Nur Atikha Sidhi Cahyana Azhari, Asri Bambang Hariyadi Bambang Hariyadi Bambang Haryadi Benedika Ferdian Hutabarat Bestia Dewi Boy Isma Putra Damayanti , Maharani Lutfiah Damris Muhammad Dani Sartika Darlim Darmawi Dawam Suprayogi Desfaur Natalia Dewi Nurus Silmi Dian Ratna Sari Didin Muhjidin Diwanti Faradiba, Nabila Dristiana, Fila Dwi Kakung Saputro Dyah Ayu Shinta Permatasary Dzati Fauziyah Ervan Johan Wicaksana Erwin Widiantono Fahrell Andhika Pratama Fajar Ardian Cahyo Putra FEBRINA ROLIN Fila Dristiana Gusti Nurina Azhariani Hafizah, Mutia Hana Catur Wahyuni Harlis Harlis Harlis Harlis Hartanti, Lusia Permata Sari Heni Asmora Ritonga Hery Murnawan, Hery Hutwan Syarifuddin Ihsan, Mahya Indra Lesmana Inggit Marodiyah Jamaaluddin Jamaluddin Jamaluddin Kania Fatikasari Khairatinisa Khairatinisa Krisna Risky Putra Irawan Lega Anattri Leksono, Rudy Bowo Lestari, Wiwik Puji Lindyawati, Lely M. F. Rahardjo M. Rusdi M.Haris Efendi Hsb Mardhotillah, Bunga Mauli, Fajar Dwi Mishani, Adinda Chamilia Mochammad Amru Nail Suherman Mochammad Imam Mashuri Mohammad Andi Rasyid Mohammad Buchori Mohammad Ekki Hadian Much Syafiudin Muhaimin Muhaimin Muhammad Arizki Zainul Ramadhan Muhammad Dio Dwi Septian Muhammad Erick Sanjaya Muhammad Hafid Fikrianto Mukhammad Rifky Ramadhan Mukhammad Surya Lesmana Muswita Muswita Muswita Muswita Nafis Khumaidah Natalia, Desfaur Naufalut Tharif Qurniawan Naufalut Tharif Qurniawan Nazifa, Boti Iffa Nisrina Salsabila Novi Prastyanda Putra Pratama Nugraha, A. Prima Nugroho, Dizsa Arliansyah NURJIRANA NURJIRANA Nurma M. Hidayatulloh Octavia Adistyas Nastiti Octavia Adistyas Nastiti Pangestu, Retno PRADITA EKO PRASETYO UTOMO Putra, Tri Syukria Putri Ramadhani Putri, Andini Faizatul Putri, Melinda Aprilia R. Dwi Hadidjaja Rasjid Saputra Rachman, Meisya Azzahra Radiana Atika Sari Rahmansyah, Muhammad Miftah Arzaq Rany Riyantati, Dena Rasyid, Mohammad Andi Rayandra Asyhar Revis Asra Revis Asra Ribangun Bamban Jakaria Rifli Rindes Riska Afrilia Rista Dwi Cahyaningurm Rizky Janatul Magwa Rudy Bowo Leksono Safitri , Salsa Zulfa SANDI KURNIAWAN Sanjaya, Muhammad Erick Saputra, Nur Qomaruddin Sari , Indah Apriliana Sari W, Indah Apriliana Sari Wulandari, Indah Apriliana SARWO EDY WIBOWO Setiawan, Ardhi Wahyu Setiawan, Ari Rio De Sigit Wahono sisiliani, fitria trisna Sofillauny, Zahara Sonia Angellina Saputri Suhadak Sulistiono Suzanti, Sriliah Syaiful Syaiful Syaifullah, Dikril Ilham TARUNI SRI PRAWAST MIEN KAOMINI ANY ARYANI DEDY DURYADI SOLIHIN Tedy Azmi Nasution TEJA KASWARI Tia Wulandari TIA WULANDARI Tri Syukria Putra Ucop Haroen Upik Yelianti Utomo, Pradita Eko Prasetyo Vanisa Reyhan Faradiba Varid Jainuri Vivin Nur Oktavianty Wahono, Sigit Wahyu Nugroho Wahyu Setiawan, Ardhi Wardhani, Devira Kusuma Wawan Kurniawan Wijatmiko, Erie Fadma Noer Fitriana Wilda Syahri Winda Dwi Kartika, Winda Dwi Wiwik Sulistiyowati Wulandari, Indah Apriliana Sari Yoppie Wulanda Yusuf Effri Prastyo Budi Zurweni Zurweni

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