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All Journal Jurnal Teknologi Industri Pertanian OPSI JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Sistemasi: Jurnal Sistem Informasi Jurnal Sistem Teknik Industri OISAA Journal of Indonesia Emas INVENTORY : Industrial Vocational E-Journal On Agroindustry Jurnal IPTEK Bagi Masyarakat Journal of Industrial Engineering and Halal Industries Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Journal of Industrial Community Empowerment SAINTI: Majalah Ilmiah Teknologi Industri
Nadiyah, Khairun
Politeknik ATI Padang
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Physics Public Health Social Sciences Transportation

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AN ANALYSIS OF SPARE PARTS DEMAND FORECASTING CASE STUDY: PT. RIUNG MITRA LESTARI, INDONESIA Khairun Nadiyah
Jurnal PPI Dunia Vol 2 No 1 (2019)
Publisher : OISAA

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

Abstract

PT Riung Mitra Lestari adalah salah satu perusahaan kontraktor penambangan baru di Indonesia yang didirikan pada tahun 2006. Diidentifikasi bahwa Riung membuat prediksi permintaan (bulanan) untuk menentukan jumlah stok yang 'tepat'. Namun, ‘tingkat akurasi’ metode peralaman yang digunakan oleh Riung tidak dapat diukur, sementara meningkatkan akurasi peralaman dapat meningkatkan tingkat kinerja perusahaan (yaitu meminimalkan kemungkinan kehabisan persediaan dan inventaris yang berlebihan). Laporan ini bertujuan untuk menemukan metode prediksi terbaik bagi Riung untuk mengelola kontrol inventaris suku cadangnya; yang dimulai dengan mengelompokkan suku cadang menggunakan metode analisis ABC untuk menentukan penanganan pengendalian persediaan yang tepat untuk setiap kelompok. Data menunjukkan bahwa ada 37 suku cadang di Riung yang termasuk dalam kategori A, oleh karena itu diperlukan kebijakan yang lebih ketat. Hal ini menjadi dasar untuk memilih kategori A sebagai objek utama analisis dalam penelitian ini. Penelitian ini akan membandingkan tiga metode prediksi, Moving Average (MA), Weight Moving Average (WMA) dan Single Exponential Smoothing (SES). Kinerja setiap metode prediksi dinilai dengan menghitung nilai kesalahan prediksi (MAD, MSE, MAPE, TS). Diketahui bahwa ada empat suku cadang dengan metode Moving Average sebagai metode prediksi terbaik, delapan suku cadang terbaik dengan menggunakan WMA dan sisanya 25 suku cadang terbaik dengan metode Single Exponential Smoothing (SES) PT Riung Mitra Lestari is one of the new mining contractor company in Indonesia founded in 2006. It is identified that Riung creates (monthly) demand forecasting for determining its ‘proper’ stock quantities. However, the accuracy level of forecasting method used by Riung cannot be measured, while improving the forecasting accuracy may rise the performance level of company (i.e. minimizing the probability of the stock out and excessive inventory). This report is aimed to find the best forecasting method for Riung to manage its spare parts inventory control; which is began by grouping spare parts using ABC analysis method to determine the appropriate inventory control handling for each group. Data showed that there are 37 spare parts in Riung that belong to category A, hence a more stringent policy is required. This correspondingly became the basis for selecting category A as the main objects of analysis in this study. The research will compare three forecasting methods, Moving Average (MA), Weight Moving Average (WMA) and Single Exponential Smoothing (SES). The performance of every forecasting method was assessed by calculating the value of forecast errors (MAD, MSE, MAPE, TS). It is known that there are four spare parts with Moving Average method as the best forecasting method, eight spare parts is best by using WMA and the rest 25 spare parts is best with Single Exponential Smoothing (SES) method.
FORECASTING METHODS DETERMINATION OF RAW MATERIAL REQUIREMENTS FOR SHEEP CABRETTA AND BATTING LEATHER AT PT ADI SATRIA ABADI Khairun Nadiyah; Grita Supriyanto Dewi
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 1 (2022): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.3531

Abstract

The high level of fluctuating demand for products that consumers want, makes companies need to have a demand estimation or forecasting tool. PT. Satria Abadi is a manufacturing company engaged in the leather tanning process. Leather processed by PT. Adi Satria Abadi consists of two types of leather, namely goat skin (Goat Cabretta and Goat Batting) and sheep skin (Sheep Cabretta and Sheep Batting). In the tanning process, PT. Adi Satria Abadi sometimes encounters several obstacles, one of which is insufficient raw materials. This is because there has not been an estimate of the need for raw materials for the production process to fulfil demand. To deal with these obstacles, it is necessary to estimate the need for raw materials for the type of Sheep Cabretta Leather and Sheep Batting Leather so that there is no shortage of raw materials that can hinder the leather tanning production process. Based on the pattern of demand for raw materials, Sheep Cabretta Leather and Sheep Batting Leather are included in a random or fluctuating demand pattern. Therefore, the method used to predict the need for raw materials is Single Exponential Smoothing with 0.1 to 0.9. From the results of the calculation of forecasting accuracy, it was found that the smallest MSE value lies in the results of forecasting with the Single Exponential Smoothing method with an alpha value of 0.7 of 44560919259, while in sheep Batting Leather, it also lies in the Single Exponential Smoothing forecasting with an alpha of 0.7 with an MSE value amounting to 31462955201. Therefore, the need for raw materials for the type of Sheep Caretta Leather for June based on forecasting calculations using the Single Exponential Smoothing method with an alpha value of 0.7 is 964,878.62 SF, while for the need for raw materials for the type of Sheep Batting Leather is 989,018.39 SF.
Quality Control Analysis Using Flowchart, Check Sheet, P-Chart, Pareto Diagram and Fishbone Diagram Khairun Nadiyah; Grita Supriyanto Dewi
OPSI Vol 15, No 2 (2022): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v15i2.7445

Abstract

SP Aluminum is engaged in the manufacturing industry by producing cooking utensils. In its application, SP Aluminum has tried to produce quality products to satisfy consumers. However, there are still defects that appear in its products. Another problem is the product defects have not been handled seriously by the company. Based on these problems, this study utilizes 5 quality control methods from seven tools: flowchart, check sheets, p-chart, Pareto diagram, and fishbone diagrams. This research is a quantitative qualitative with direct data collection through observation and interviews. The data taken is the product defect in Super Wok Number 12. There are 49 defects data that have been processed. From the results of the check sheet analysis, it was found that the intensity category of the product defects occurrence was obtained. Furthermore, control chart analysis show that there are some data that are out of control. Then, Pareto diagram analysis show the most dominant types of defects are holes, dregs, and pores. Finally, the factors of the absence of written SOPs, less thorough and less competent employees, poor working environment, lack of machine maintenance, poor handling of raw materials and inappropriate material handling processes were common causes of product defects.
Productivity Analysis Using the Multi Factor Productivity Measurement Model (MFPMM) as an Effort to Increase Competitiveness (Case Study: WL Alumunium Yogyakarta) Grita Supriyanto Dewi; Khairun Nadiyah
Journal of Industrial Engineering and Halal Industries Vol. 3 No. 2 (2022): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.3785

Abstract

It is known that the national economy is dominated by Cooperatives and Small & Medium Enterprises (SMEs), this proves that Cooperatives and SMEs have competitiveness and potential that must be maintained. WL Aluminum is an SME located in the Yogyakarta area which is engaged in the metal casting industry with products that include frying pans, citel, pans and other kitchen utensils. In order for a business to survive and continue to grow, it must be able to compete by preparing various strategies so that the products it produces will always exist in the market. One form of strategy that can be used is by measuring the company's productivity. This is used to determine the extent to which the effectiveness of the product produced and the efficiency of the use of available resources. Several variables that affect productivity include raw materials, energy and labor. The purpose of this research is to find out what the productivity index (PI) is for WL Aluminum using the MFPMM, and to find out whether there is an influence between the profitability received by WL Aluminum and productivity and price changes using the Multiple Linear Regression method. The results of productivity calculations using the MFPMM show that PI was in a row October-November 2015, November-December 2015; December-January 2016; January-February 2016; February-March 2016; March-April 2016; April-May 2016 of 1.0064; 1.2370; 0.8545; 0.9016; 0.9607; 1,1,068; 0.7348. The results of the mathematical equation using Multiple Linear regression are profitability (Y): -0.952+ 1.001 productivity (x1) + 0.951 price recovery (x2). Testing with the F test shows that the calculated F value is 1401891.948 with a significance value of 0.000 <0.05. This proves that profitability is influenced by productivity and price changes.
Rest Time Analysis Based on Operator's Workload Using a Physiological Measures at PT. Amanah Insanillahia Maria Isfus Senjawati; Khairun Nadiyah; Diego Arya Permana
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4201

Abstract

Amanah Insanillahia is a manufacturing company that produces bottled drinking water (AMDK). The high demand for drinking water production at PT Amanah Insanillahia requires workers to do their work as much as possible in order to achieve the targets desired by the company. In addition to the targets to be achieved, the company must also pay attention to the operator's workload. Workload related to physical fatigue will reduce performance and increase errors at work. This study aims to determine the operator's rest time using a physiological approach. The method used is quantitative with data collection carried out directly. The object of research is the population of employees in the 220 ml packaging station. Heart rate measurement is done by utilizing the 10-beat method. The results show that the value of K < S, the energy expended during work is less than the standard value of energy expended (men = 5 kcal/min, women = 4 kcal/min), then Rt = 0. This means that the rest time provided by the company is adequate, so there is no need for additional resting time at the 220 ml packaging station.
Pembuatan Mesin Penyerut Bahan Baku Serundeng Ubi Guna Meningkatkan Produktifitas UMKM Kampioen di Kota Padang Rizki Alfi; Maria Isfus Senjawati; Maryam; Fikri Arsil; Verra Syahmer; Khairun Nadiyah; Nadya Rishelin
KREASI : Jurnal Inovasi dan Pengabdian kepada Masyarakat Vol. 3 No. 3 (2023): Desember
Publisher : BALE LITERASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kreasi.v3i3.702

Abstract

Serundeng adalah makanan khas Indonesia yang sering digunakan sebagai lauk-pauk nasi yang dibuat dari berbagai bahan ubi yang digoreng. Serundeng terdiri atas kentang dan ubi yang dipotong kecil-kecil serta kacang lalu diberi rempah-rempah dan digoreng. Salah satu UMKM yang memproduksi produk serundeng ubi ini adalah UMKM Kampioen dengan merk produk “Srondeng Mercons”. Pada proses pembuatan serundeng ini, UMKM Kampioen masih menggunakan alat penyerut manual. Hal ini memunculkan suatu keluhan dari pekerja pembuat serundeng yaitu merasa lelah dan pegal pada saat ataupun sesudah memarut/menyerut ubi, karena dapat memakan waktu yang lama sekitar 5-7 jam sekali produksi sampai dikemas dengan kapasitas 5-10 Kg perhari. Dengan metode perancangan dengan mepertimbangkan aspek ergonomi dan produktifitas, maka penulis mencoba untuk membantu UMKM Kampioen untuk membuat mesin produksi/penyerut bahan baku serundeng ubi ini agar pekerjaan menjadi lebih efektif, efisien dan produktif. Hasil kegiatan memberikan evaluasi bahwa mesin dapat meningkatkan produktifitas kerja dengan waktu standar ± 5kg/jam. Kata kunci : efektif, efisien, serundeng ubi, pembuatan mesin Abstract Serundeng is an Indonesian specialty often used as a side dish for rice made from various fried yam ingredients. Serundeng consists of potatoes and sweet potatoes cut into small pieces and peanuts then given spices and fried. One of the MSMEs that produces this sweet potato serundeng product is Kampioen MSME with the product brand "Srondeng Mercons". In the process of making this serundeng, UMKM Kampioen still uses a manual pulverizer. This gave rise to a complaint from workers making serundeng, namely feeling tired and sore during or after grating / grating sweet potatoes, because it can take a long time around 5-7 hours of production until it is packaged with a capacity of 5-10 Kg per day. With the design method by considering aspects of ergonomics and productivity, the authors try to help Kampioen MSMEs to make a production machine / grater of raw materials for this sweet potato serundeng so that work becomes more effective, efficient and productive. The results of the activity provide an evaluation that the machine can increase work productivity with a standard time of ± 5kg / hour. Keywords : effective, efficient, sweet potato serundeng, machine manufacturing.
Pembuatan Barcode Kemasan Produk Pada CV. Kuliner Makmur Sejahtera Kota Padang Maryam, Maryam; Alfi, Rizki; Senjawati, Maria Isfus; Putri, Gustiarini Rika; Arsil, Fikri; Syahmer, Verra; Nadiyah, Khairun
Journal of Industrial Community Empowerment Vol 3, No 2 (2024): Published in October 2024
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/jice.v3i2.278

Abstract

Rendang, a traditional Minangkabau dish from West Sumatra, Indonesia, has gained international recognition and has inspired many entrepreneurs to promote this cuisine globally. One such entrepreneur is CV. Kuliner Makmur Sejahtera (KMS), which produces rendang under the brand Katuju. To enhance operational efficiency and support global market expansion, KMS requires an improved inventory management system. The primary challenge is the difficulty in monitoring inventory and tracking products without a barcode system. This community service program aims to address this issue by implementing barcode technology on Katuju's product packaging. The activities include designing, creating, and printing barcodes, as well as training KMS staff on how to use them. The process starts with observation and interviews to identify needs, followed by barcode design and production using an online barcode generator, and testing the barcode functionality with a scanning system. The results indicate that the community service team successfully trained KMS in barcode creation and printing, and integrated barcodes into product packaging. Evaluation through questionnaires showed participant satisfaction with the program and readiness to apply the barcode system to their products. This program is expected to improve inventory management, data accuracy, and support CV. KMS's global market expansion by providing tools necessary for efficient product tracking and valuable consumer data collection.
Pengendalian Kualitas Mooney Viscosity (MV) dan Plasticity Retention Index (PRI) dalam Crumb rubber SIR 3CV 60 dengan Metode Statistical Quality Control (SQC) di Perusahaan Karet Putri, Gustiarini Rika; Nadiyah, Khairun; Rishelin, Nadya; Futeri, Renny; Susanto, Raihan Akbar
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 18, No 3 (2024): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2024.v18i3.003

Abstract

Industri manufaktur, khususnya industri karet, dihadapkan pada tuntutan untuk terus meningkatkan kualitas produk guna menjaga daya saing di pasar. Salah satu produk yang memerlukan pengendalian kualitas yang ketat adalah Crumb rubber SIR 3CV 60, di mana dua parameter penting yang harus dijaga adalah Mooney Viscosity (MV) dan Plasticity Retention Index (PRI). Penelitian ini bertujuan untuk menerapkan metode Statistical Quality Control (SQC) menggunakan alat-alat seperti Peta Kendali X̅ dan R serta Diagram Fishbone guna mengidentifikasi penyebab penyimpangan pada kedua parameter tersebut. Data yang digunakan adalah hasil pengujian kadar MV dan PRI selama 30 hari pada bulan November 2021. Hasil analisis menunjukkan bahwa proses produksi Crumb rubber SIR 3CV 60 terkendali secara statistik, namun kapabilitas proses berdasarkan perhitungan Cp dan Cpk menunjukkan bahwa nilai MV dan PRI belum sepenuhnya memenuhi spesifikasi yang ditetapkan, dengan nilai Cpk yang lebih rendah dari 1 untuk kedua parameter tersebut. Selanjutnya, diagram Fishbone digunakan untuk mengidentifikasi berbagai faktor penyebab, termasuk kualitas bahan baku, metode produksi, mesin, serta faktor manusia dan lingkungan. Berdasarkan temuan ini, disarankan agar perusahaan melakukan perbaikan pada pengelolaan bahan baku dan parameter mesin untuk mengurangi variasi dan meningkatkan kapabilitas proses produksi, sehingga produk yang dihasilkan dapat lebih konsisten dan memenuhi standar kualitas yang ditetapkan.
Designing a Barcode System to Optimize Food Product Production and Distribution Management Alfi, Rizki; Maryam, Maryam; Nadiyah, Khairun; Mardesci, Hermiza
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4955

Abstract

In the digital era, efficient supply chain and inventory management pose significant challenges for Micro, Small, and Medium Enterprises (MSMEs), particularly in the food sector. The use of barcode technology can enhance stock management and product tracking in real-time. However, the adoption of this technology among MSMEs, especially for traditional food products like rendang, remains limited. This study aims to design and implement a Code 128 barcode system for rendang products produced by MSMEs, incorporating information such as product variants, production batch, production date, and expiration date. The research employs a Research and Development (R&D) method, consisting of needs analysis, design, implementation, and evaluation stages. The findings reveal that the designed barcode system improves stock management efficiency, reduces recording errors, and facilitates integration with modern retail systems. Nonetheless, the study is limited to a small scale and encounters challenges related to infrastructure and human resources. To address these limitations, the research proposes solutions such as utilizing more affordable devices and providing training to enhance human resource skills. This study is expected to contribute to the digital transformation of food-sector MSMEs, helping them improve competitiveness in an increasingly challenging market.
Optimalisasi Kinerja Mesin Intasept Melalui Analisis FMEA dan Diagram Fishbone untuk Meningkatkan Efisiensi Produksi di Perusahaan Pengolahan Kelapa Putri, Gustiarini Rika; Nadiyah, Khairun; Rishelin, Nadya; Senjawati, Maria Isfus; Apriansah, Friski
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 19, No 1 (2025): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2025.v19i1.008

Abstract

Keandalan mesin dalam proses produksi sangat menentukan kualitas dan kelancaran operasional, khususnya di industri pengolahan makanan dan minuman. Penelitian ini dilakukan pada sebuah perusahaan pengolahan kelapa yang memproduksi berbagai produk turunan kelapa, seperti coconut powder, desiccated coconut, coconut water, dan coconut milk. Perusahaan ini menghadapi kendala berupa gangguan operasional pada mesin Intasept di bagian filling, yang memiliki peran penting dalam proses pengemasan produk cair seperti santan dan air kelapa. Berdasarkan hasil pengamatan selama 4 bulan dan kuesioner kepada personel maintenance, ditemukan bahwa kerusakan yang sering terjadi melibatkan komponen O-Ring, gasket, dan Teflon sealing. Kerusakan ini berdampak langsung pada kebocoran produk dan penghentian sementara proses produksi. Penelitian ini bertujuan untuk menganalisis potensi kerusakan pada mesin Intasept menggunakan metode Failure Mode and Effect Analysis (FMEA) dan diagram fishbone. Hasil FMEA menunjukkan bahwa kerusakan O-Ring memiliki nilai Risk Priority Number (RPN) tertinggi, yaitu 99. Penyebab kerusakan dianalisis lebih lanjut menggunakan diagram fishbone, yang mengungkapkan faktor utama berasal dari manusia, mesin, metode, dan material. Penelitian ini memberikan rekomendasi perbaikan yang meliputi peningkatan kualitas sparepart, pemeliharaan preventif yang lebih ketat, dan pelatihan operator. Diharapkan hasil penelitian ini dapat membantu perusahaan dalam meminimalkan risiko kerusakan mesin, memperpanjang usia pakai mesin, dan meningkatkan efisiensi proses produksi.
Co-Authors Adlina Safitri Helmi Akli, Khairul Alfi, Rizki Apriansah, Friski Arsil, Fikri Dian Hasni Dian Hasni, Dian Diego Arya Permana Edwar, Ester Ekawati, Irna Eko Supriadi Ester Edwar Fikri Arsil Fitria Rizelda Grita Supriyanto Dewi Gustiarini Rika Putri Helmi, Adlina Safitri Hermiza Mardesci Irna Ekawati Isfus Senjawati, Maria Khairul Akli Kushisa Atta Jaeba Maria Isfus Senjawati Maria Isfus Senjawati Maria Isfus Senjawati Maryam Maryam Maryam Maryam Muhammad Syarif Hidayat Nadya Rishelin Nesti, Lisa Rahma Sawitri Renny Futeri Rika Putri, Gustiarini Rishelin, Nadya Rizki Alfi Rizki Alfi Satria, Andika Senjawati , Maria Isfus Susanto, Raihan Akbar Syahmer, Verra Verra Syahmer