JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri
1. Quality and Reliability Engineering (QRE) Includes tools and techniques for engineering products in the goods industry and service industry. QRE to prevent product errors or defects. While in the process of the service industry to avoid problems in providing the best service solutions to customers, includes: - Variable control charts (x-chart, r-chart, s-chart, exponentially, moving range) - Attribut control charts (p-chart, np-chart) - Rectifying inspection - Design of experiments (ANOVA, factorial design, random factors in experiments) - Response surface methodology (robust design, cross array design, taguchi method) - Lean six sigma (DPMO, DMAIC, DMADV) - Failure analysis, Maintenance (sensors applications, preventive maintenance, group replacement) - Machine learning methods for analysing degradation data 2. Facilities Engineering and Energy (FEC) untuk Facilitis Engineering about resources to support the optimal production and distribution of goods and services. Meanwhile, energy related to power / power sources is needed for production activities, such as renewable power, as well as waste innovation for energy in production, includes : - Material handling system design, Order picking methods - Warehouse layout models, Facilities maintenance management systems - Design for racks and blockstacking - Biomass energy, energy storage for production/ distribution - Enegy modelling, energy planning and life cycle energy for production/ distribution with linear or non linear programming 3. Operation Engineering (OE) deals with production engineering closely with mathematical models to achieve optimizing limited resources in meeting user needs, includes: - Life cycle product, service and process - Forecasting models, trend based, seasonal series - Aggregate planning and control for manufacturing systems - Job shops, Just in time, work schedules - Inventory management and control, voice of customer - Master production schedule, multiline optimizaton, enterprise resource planning - Green supply chain, supply chain 4.0, reverse logistics, supplier risk - Machine learning methods for operation - Operation modelling, transport algorithm, production scheduling algorithm - Optimization problems (linear, non liniear and constraint programming) in operation 4. Technology – Ergonomic and Human Factors (TEHF) closely with design, devices and equipment that are technologically compatible with the human body and cognitive, include: - Anthropometric (musculoskeletal disorders, human variability, designing for everyone) - Occupational biomechanic, cardiovascular system, physiology in work system - Ergonomic Cognitif 4.0 (task demand, mental capacity, usability engineering) - Vision, lighting, hearing, sound, noise, vibration in work system - Ergonomic interventions, psychological factors, risk factors, displays and controls system
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<![CDATA[Pengembangan Produk Kursi Tunggu Multifungsi Dengan Menggunakan Metode Quality Function Deployment (QFD) ]]>
<![CDATA[Dicky Rizaldi Sandova]]>;
<![CDATA[Imam Safi'i]]>;
<![CDATA[Afiff Yudha Tripariyanto]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol 2, No 1 (2020): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v2i1.861
<![CDATA[Waiting for chairs that have attractive designs can give interest to the user. From observations and interviews with waiting for chair users at Kadiri University, chairs used for seating cannot be moved according to the user's wishes. From the results of the customer statement questionnaire (Voice of Customer) obtained 7 attributes of consumer needs, namely Comfortable, There is a backrest, Metal material, according to body size, Easy to use, Multifunctional, Affordable price and 7 technical needs include waiting for chair design, additional facilities, Material quality, Anthropometry, Product design, Additional functions, and Pricing. Improvement of multifunctional waiting chair products by looking at the HOQ analysis on the absolute important value of technical needs is 103.1, namely in product design and 92.4 in price determination. In the goal value, the average value of consumers' attribute needs increases from old products to products that are developed.Kursi tunggu yang mempunyai desain menarik dapat memberikan minat bagi pengguna. Dari hasil observasi dan beberapa wawancara kepada pengguna kursi tunggu di Universitas Kadiri , kursi yang digunakan untuk tempat duduk tidak dapat dipindah sesuai keinginan pengguna. Dari hasil kuesioner pernyataan pelanggan(Voice Of Customer) didapatkan hasil 7 atribut kebutuhan konsumen, yaitu Nyaman, Terdapat sandaran, Material logam, Sesuai ukuran tubuh, Mudah dalam penggunaan, Multifungsi, Harga terjangkau serta 7 kebutuhan teknisnya antara lain Desain kursi tunggu, Fasilitas tambahan, Kualitas material, Anthropometri, Desain produk, Fungsi tambahan, dan Penentuan harga. Perbaikan produk kursi tunggu multifungsi dengan melihat analisis HOQ pada nilai absolute important kebutuhan teknis sebesar 103,1 yaitu pada Desain produk dan kedua sebesar 92,4 pada penentuan harga. Pada nilai goals, nilai rata-rata atribut kebutuhan konsumen meningkat dari produk lama ke produk yang dikembangkan. ]]>
<![CDATA[Analisis Rejected Produk Dalam Proses Return Di PT. Gunawan Fajar Menggunakan Metode FMEA ]]>
<![CDATA[Dyan Putra Pradana]]>;
<![CDATA[Sri Rahayuningsih]]>;
<![CDATA[Heribertus Budi Santoso]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol 2, No 1 (2020): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v2i1.863
<![CDATA[Business is an activity carried out by individuals or organizations that involve production, marketing, or service activities intending to make a profit or profit. In business-related activities, product defects will also occur due to human error and faulty production equipment used. Product defects that occur at PT. Gunawan Fajar has product defect codes determined by the company with RPN assumptions from the FMEA method, which is used to find out product defects by identifying and carrying out preventive activities against production failures to errors in raw materials and equipment, including machines used. From the research using this method, the results showed that on average, there were 14.3742 pieces of defects during the study with a total production per month of 44,943,473 sheets, while for RPN 294 ≥200 in number one printing block while for RPN 150 <200 at number one that is, the Weight does not match. From the Pareto diagram that occurs at the highest defect according to the measurement of the Severity, Occurrence and Detection values for PN (Printing Block), BU (Under Weight), KKC (Defective Sack Condition), KR (Renggang Sack) reaches the Risk Number Priority (RPN). Bisnis merupakan kegiatan yang dilakukan individu maupun organisasi yang melibatkan aktivitas produksi, marketing, atau jasa dengan tujuan mendapat keuntungan atau laba. Dalam kegiatan terkait bisnis, juga akan terjadi kecacatan produk dikarenakan kesalahan faktor manusia, maupun faktor kesalahan peralatan produksi yang digunakan. Kecacatan produk yang terjadi pada PT. Gunawan fajar, memiliki kode- kode cacat produk yang sudah ditentukan oleh perusahaan dengan asumsi – asumsi RPN dari penggunaan metode FMEA, yang digunakan untuk mengetahui kecacatan produk dengan cara mengidentifikasi dan melakukan aktivitas pencegahan terhadap kegagalan produksi dikarenakan kesalahan bahan baku maupun peralatan termasuk mesin yang digunakan. Dari penelitian menggunakan metode tersebut didapat hasil bahwa dimana rata-rata terjadi cacat 14.3742 lembar selama penelitian berlangsung dengan total produksi tiap bulan sebesar 44.943.473 lembar, sedangkan untuk RPN 294 ≥200 pada nomor satu printing ngeblock sedangkan untuk RPN 150 <200 pada nomor satu yaitu berat tidak sesuai. Dari diagram pareto yang terjadi pada cacat tertinggi sesuai dengan pengukuran pada nilai Severity, Occurrence dan Detection untuk PN (Printing ngeblock), BU (Berat Under), KKC (Kondisi Karung Cacat), KR (Karung Renggang) mencapai Risk Number Priority (RPN). ]]>
<![CDATA[PERENCANAAN DAN PENGENDALIAN BIAYA PRODUKSI UNTUK MENINGKATKAN EFISIENSI BIAYA PRODUKSI ]]>
<![CDATA[Abilio De Jesus Martin]]>;
<![CDATA[Sri Rahayuningsih]]>;
<![CDATA[Imam Safi'i]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol 2, No 1 (2020): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v2i1.864
<![CDATA[To maximize the optimization of production costs in planning and control production costs, namely by reducing costs as much as possible to provide maximum profit. Therefore, the sugar factory must regulate all its production activities as effectively and efficiently as possible. This activity intends to describe the planning and management of production costs as an objective that aims to increase the efficiency of production prices at PT. PG Pesantren Baru Keiri. The research method used in this research is to explain the case approach at PT. PG Pesantren Baru, taking samples by interview and taking pictures or recording. From the research results or thoughts that have been carried out, it can be concluded that the production cost budget is still inefficient. The factor that causes this is the weakness in securing production costs globally. It cannot minimize the things that cause the loss of production costs carried out by irresponsible individuals. Usaha untuk yang digunakan pada proses produksi akan berkaitan dengan perencanaan yang berasumsi pada pengendalian bahan baku yang berguna mengurangi biaya produksi untuk menambah laba pada produksi di pabrik PT. PG Pesantren Baru Kediri. Pada penelitian yang saat ini sudah mencapai hasil dengan asumsi bahwa aktivitas produksi harus bias dilakukan agar efektif serta dapat mencapai efisiensi.Metode penelitian yang dipakai pada riset ini yaitu menjelaskan dengan pendekatan kasus pada PT. PG Pesantren baru, pengambilan sampel dengan interview dan pengambilan gambar atau rekaman. Dari hasil riset atau pemikiran yang telah dilaksanakan dapat di ambil kesimpulan bahwa budget biaya produksi masih tidak efisien. Yang terjadi pada sarana kelemahan pengamanan pada biaya produksi harus diglobalkan supaya terjadi kehilangan biaya prduksi yang minimal. ]]>
<![CDATA[Penentuan Waktu Standar dam Jumlah Tenaga Kerja Optimal pada Bagian Winding Primercurrent Transformer (Travo Arus) ]]>
<![CDATA[Mohammad Farid Ismail]]>;
<![CDATA[Sri Rahayuningsih]]>;
<![CDATA[Ana Komari]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol 2, No 1 (2020): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v2i1.854
<![CDATA[In the production process using this work sampling method aims to determine whether a job is fast or not so that workers work in typical conditions that are needed in the production of primary current transformer winding based on standard time. The sampling method was developed based on the low probability. By using a degree of the confidence level of 95% and a level of accuracy of 5%, and the adjustment factor with the westing house method. The results of this study indicate the standard time required by worker 1 to complete the work is 128.4 minutes/unit; worker 2 is 125.7 minutes/unit, worker 3 is 121.9 minutes/unit and standard time of worker 4 is 123.3 minutes/unit. And the optimal number of workers that should be employed is 5.1 people, while the number of workers available in the primary winding current transformers is 4 people, so there is a need to add 1 new workforce so that the products produced according to the specified time. It is also known that the average productivity of all operators is 89.37% with the percentage of idle (idle time) of 10.62%.Kegiatan dalam proses produksi divisi winding primer current transformer dilakukan penelitian yang berkaitan dengan produktivitas menggunakan metode work sampling. Didalam metode tersebut, digunakan tingkat kepercayaan sebesar 95% dan tingkat ketelitian sebesar 5% dengan penyesuaian yang menggunakan metode westing house. Didalam perhitungannya dihasilkan nilai standar pada pekerja 1 ketika selesai tiap project dengan waktu sebesar 128,4 menit/ unit, kemudian pada pekerja 2 sebesar 125,7 menit/ unit, pada pekerja 3 sebesar 121,9 menit/ unit dan untuk pekerja 4 dapat menyelesaikan per project winding current transformer sebesar 123,3 menit/ unit. Dalam penggunaan tenaga kerja yang optimal didapat hasil bahwa dibutuhkan 5,1 atau 5 orang yang digunakan untuk melakukan proses produksi. Sehingga, pada awalnya ada 4 pekerja maka harus ditambah sebanyak 1 orang agar produk yang dihasilkan sesuai waktu yang sudah ditentukan. Disini diketahui juga produktivitas rata-rata semua operator sebesar 89,37 % dengan prosentase idle (waktu menganggur) sebesar 10,62 %. ]]>
<![CDATA[ANALISIS RESIKO KESEHATAN DAN KESELAMATAN KERJA PADA PG. PESANTREN BARU MENGGUNAKAN METODE HAZOP ]]>
<![CDATA[Randy Erviando]]>;
<![CDATA[Imam Safi'i]]>;
<![CDATA[Heribertus Budi Santoso]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol 2, No 1 (2020): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v2i1.858
<![CDATA[PG PESANTREN BARU is a company engaged in the manufacturing industry which began operating on July 19, 1978 with a capacity of 4,000 tons of sugar cane per day. Negligence in operating the machine in addition to causing disruption in the production process, can also endanger workers. The problem formula of this research is where it relates to the fundamental issues regarding Boiler stations, and how to minimize the risk of work accidents at Boiler stations using the HAZOP method, while the purpose of this study is to find hazard resources at Boiler stations, and minimize the use of work accidents at the Boiler station using the HAZOP method. The results of K3 research at the boiler station using the hazop method, have found 31 potential hazards which are then classified into 5 sources of hazards that have been identified at the boiler station. From the results of the risk assessment, there are 3 sources of danger that have extreme risks associated with the attitude of workers, floors, and kitchen boiler rooms, then 1 source of danger that has a higher risk on the stairs and 1 source of danger that has a risk of being exposed to oil spills . Keywords : Job Safety, Risk, HAZOP ( Hazard and Operability Study ) PG PESANTREN BARU merupakan sebuah perusahaan yang bergerak dalam bidang industri pembuatan gula yang mulai beroperasi pada tanggal 19 Juli 1978 dengan kapasitas giling 4.000 ton tebu perhari. Kelalaian dalam mengoperasikan mesin selain akan menyebabkan proses produksi terganggu, juga dapat membahayakan pekerja. Rumuan masalah penelitian ini adalah dimanakah letak resiko tertinggi sumber bahaya pada stasiun Boiler, dan bagaimana cara meminimalisir resiko terjadinya kecelakaan kerja pada stasiun Boiler dengan menggunakan metode HAZOP, Sedangkan tujuan dari penelitian ini adalah untuk mengetahui potensi sumber bahaya tertinggi pada stasiun Boiler, dan meminimalisir terjadinya kecelakaan kerja pada stasiun Boiler dengan menggunakan metode HAZOP. Hasil dari penelitian K3 di stasiun boiler menggunakan metode hazop, telah ditemukan 31 potensi bahaya yang kemudian digolongkan menjadi 5 sumber bahaya yang sudah teridentifikasi pada stasiun boiler. Dari hasil penilaian resiko, maka terdapat 3 sumber bahaya yang memiliki resiko ekstrem yang meliputi sikap pekerja, lantai, dan ruang dapur boiler, kemudian 1 sumber bahaya yang memiliki resiko tinggi terletak pada tangga dan 1 sumber bahaya yang memiliki resiko sedang yaitu pada tumpahan oli. Kata Kunci : Keselamatan Kerja, Resiko, HAZOP ( Hazard and Operability Study ) ]]>
<![CDATA[Analisis Pengendalian Ketersediaan Bahan Baku Di PT. Akasha Wira Internasional, Tbk Menggunakan Metode EOQ ]]>
<![CDATA[Sandi Wardani]]>;
<![CDATA[Sri Rahayuningsih]]>;
<![CDATA[Ana Komari]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol 2, No 1 (2020): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v2i1.860
<![CDATA[This study aims to analyze the availability of raw materials at PT. Akasha Wira Internasional Tbk analyzes the total cost of raw material inventories, analyzes to reorder point raw materials, analyzes the amount of raw materials' safety stock, and explores raw material inventory control. The analytical method used is the Economic Order Quantity method to determine the optimal order or purchase quantity to minimize inventory costs consisting of ordering fees and storage costs. The results showed that the purchase of optimal Ades 1500 ML label raw materials according to the Economic Order Quantity method during the 2017 period for each message was more significant than what the company did. The company's optimal purchase of raw materials in 2017 is 397 m with the frequency of orders that must be done as much as 2 times. According to the Economic Order Quantity, the safety stock quantity that must be available in the warehouse is 480.15 m, and the Re-Order Point is at the time of the inventory in the warehouse is 512.91 m. The total inventory cost for the production process incurred according to the Economic Order Quantity method is smaller than the company's total inventory cost. Penelitian ini bertujuan untuk menganalisis ketersediaan bahan baku di PT. Akasha Wira Internasional Tbk, menganalisis total biaya persediaan bahan baku, menganalisis untuk melakukan pemesanan kembali (reorder point) bahan baku, menganalisis jumlah persediaan pengamanan barang (safety stock) bahan baku, menganalisis pengendalian persediaan bahan baku. Penggunaan pendekatan yaitu metode Economic Order Quantity sebagai cara menyimpan bahan baku untuk ketersediaan biaya pesan dan biaya simpan bahan baku. Data yang diperoleh adalah data primer dan data sekunder. Pada bahan baku ades 1500 ML tahun 2017 memiliki tingkat pemesanan yang lebih tinggi. Pembelian bahan baku optimal yang harus dilakukan perusahaan pada tahun 2017 adalah sebesar 397 m dengan frekuensi pemesanan yang harus dilakukan adalah sebanyak 2 kali. Kuantitas persediaan pengaman yang harus tersedia digudang adalah sebesar 480,15 m dan titik pemesanan kembali menurut Economic Order Quantity yaitu saat persediaan digudang tinggal 512,91 m. Maka dalam proses produksi menurut EOQ lebih kecil diabnding dengan total pembiayaan dari perusahaan. ]]>
