bluuebunny/crossref_metadata_2025 huggingface dataset:
Perancangan Sistem Informasi Inventori Bahan Kimia Menggunakan Metode Distribution Research Planning (DRP)
Authors: Nurainun Tengku , Ikhsan Ikhsan , Hartati Misra , Yola Melfa
Published: March 2022

Intisari--Penelitian ini dilakukan pada salah satu Sistem penyediaan air minum (SPAM) yang ada di Kabupaten Siak. Sistem penyedia air minum Siak seringkali di hadapkan pada masalah persediaan bahan kimia, terutama bahan kimia PAC, Permasalahan yang sering terjadi adalah lokasi pemesanan yang jauh dan proses ekspedisi juga terjadi masalah, penyebabnya karena kendaraan mogok, rusak, dan macet, sehingga barang seharusnya ada ditempat ternyata belum ada. Permasalahan selanjutnya adalah sistem permintaan maupun peminjaman bahan kimia masih dalam bentuk manual, sehingga terjadi keterlambatan. Permasalahan berikutnya, besarnya jumlah kebutuhan bahan kimia PAC setiap minggunya pada bulan Juli 2017 sampai dengan Juni 2018 berbeda (Random) tergantung air baku, apabila cuaca hujan maupun air sungai pasang maka pemakaian bahan kimia akan tinggi juga. SPAM Dalam melakukan pemesanan tidak memiliki standar, keputusan yang menyangkut berapa banyak dan kapan harus melakukan pemesanan, merupakan permasalahan yang ada pada masalah persediaan perusaahan membutuhkan sebuah sistem informasi inventori, yang mana didalam sistem tersebut juga terdapat metode DRP (Distribusi Resource Planning) agar dapat memudahkan perencanaan dan pengendalian persediaan bahan baku yang tepat, serta mengetahui kapan saatnya mulai mengadakan pemesanan kembali. Sistem inventori ini juga memudahkan petugas dalam proses pelaporan permintaan dan peminjaman bahan baku serta mengetahui segala informasi persediaan yang ada didalam gudang SPAM Siak.Abstract-- This research conducted on one of the Drinking Water supply systems (SPAM) in Siak. Siak's drinking water supply system was often face the problems on the supply of chemicals, especially PAC chemicals, the problem often occurs that the location to ordering the item was far away and the expedition process also has a problem, the reason is that the vehicle broke down and jammed. The demand and lending system for chemicals was using manual, and cause delays. Then, the amount of PAC chemical needs every week in July 2017 to June 2018 was different, it was depend on raw water, in rainy season the use of chemicals would be high too. SPAM does not have a standard, a decision concerning how much and when to make an order, is a problem that exists. In the problem of inventory SPAM requires an inventory information system, which in the system there is also a DRP method (Distribution Resource Planning) to facilitate proper planning and inventory control, and to find out when to reorder. This inventory system also makes it easier for officers in the process of reporting requests and borrowing raw materials and knowing all inventory information that is in the Siak SPAM warehouse.
Integrasi Metode IPMS dan ANP dalam Pengukuran Kinerja Perusahaan (Studi Kasus : CV Ekasari)
Authors: Nurdiansah Irfan , Afraah Sayyidah Maulidatul , Yuniaristanto Yuniaristanto
Published: March 2022

Intisari— Dalam menjalankan katering diperlukan manajemen yang bertugas merencanakan, mengorganisir, dan mengontrol setiap aktivitas katering. CV. Ekasari merupakan perusahaan yang bergerak di bidang katering yang lebih fokus pada penyediaan roti dan kue. Perkembangan bisnis katering memaksa CV. Ekasari untuk selalu meningkatkan keseluruhan aspek kinerja perusahaan. Salah satu cara dalam mempertahankan daya saing dengan perusahaan lain ialah melalui penjagaan kualitas kinerja perusahaan yang dapat diketahui melalui pengukuran kinerja. Pada CV. Ekasari sebelumnya telah dilakukan penelitian pengukuran kinerja melalui integrasi metode Integrated Performance Measurement System (IPMS) dengan Analytical Hierarchy Process (AHP) namun hasil ini belum mempertimbangkan keterkaitan antarkriterianya. Penelitian ini menggabungkan metode IPMS dan Analytical Network Process (ANP) untuk mengetahui keterkaitan antarkriteria dan memberikan pembobotan yang lebih baik. Penelitian ini berhasil merumuskan key performance indicator (KPI) sejumlah 21 KPI tervalidasi dan KPI B31 yaitu current ratio dan KPI B32 yaitu debt of ratio membutuhkan perhatian khusus oleh perusahaan.Abstract— Managing catering means to plan, organize and control every catering activity. CV. Ekasari is a company engaged in catering focused on providing bread and cakes. The development of catering business forcing CV. Ekasari to enhance their performance. A way to maintain company competitiveness is through maintaining the quality of company performance through performance measurement. CV. Ekasari has previously conducted performance measurement research using the Integrated Performance Measurement System (IPMS) method integrated with Analytical Hierarchy Process (AHP) but these results have not taken into consideration the interrelationship between them. This study combines the methods of the IPMS and Analytical Network Process (ANP) to determine the inter-criteria linkages and provide a better weighting. This research succeeded in formulating 21 key performance indicator (KPI) that have been validated and KPI B31 and B32 which are the current ratio and debt of ratio require special attention by the company.
Perbaikan Fasilitas Taman Bermain Outdoor Santri Raudhatul Atfal Dengan Mempertimbangkan Prinsip Pengendalian Perancangan Yang Ergonomis
Authors: Wahyudin Wahyudin , Kusnadi Kusnadi , Nugraha Billy
Published: March 2022

Intisari— Alat bermain di taman kanak-kanak merupakan salah satu fasilitas dan sarana yang perlu mendapatkan perhatian, mengingat besarnya fungsi dan manfaat alat tersebut dalam aktivitas belajar atau bermain anak-anak. Penelitian ini bertujuan untuk merancang beberapa alat bermain atau belajar, diantaranya; perosotan, panjatan globe, dan jembatan lingkar yang ergonomis menurut data antropometri siswa-siswi Taman Kanak-Kanak R.A Nurul Iman. Data tersebut digunakan sebagai parameter dalam membuat rancangan terbaru yang diusulkan secara ergonomis. Langka-langkah penilitian yang dilakukan dalam merancang alat bermain atau belajar tersebut. Dengan mempertimbangkan prinsip pengendalian perancangan yang ergonomis. Data yang digunakan dalam penelitian terbagi data primer dan data sekunder. Tujuan dan sasaran komponen dalam prinsip pengendalian perancangan yang ergonomis, terdiri dari: lokasi, tata letak, peralatan permainan, kontruksi dan material atau bahan. Selain itu dengan memperhatikan aspek yang dikendalikan (issue of concern), terdiri dari: keselamatan, kesehatan, kenyamanan, kemudahan, keamanan, dan keindahan.Abstract— Play equipment in kindergarten is one of the facilities and facilities that need attention, given the magnitude of the functions and benefits of these tools in learning activities or children's play. This study aims to design several play or learning tools, including; ergonomic slides, globe climbing and ring bridges according to anthropometric data of R.A Nurul Iman Kindergarten students. The data is used as a parameter in making the latest proposed ergonomically proposed. The research steps taken in designing the play or learning tool. By considering the principles of ergonomic design control. The data used in this study are divided into primary data and secondary data. Objectives and component objectives in the principle of ergonomic design control, consisting of: location, layout, game equipment, construction and materials or materials. In addition, taking into account aspects that are controlled (issue of concern), consisting of: safety, health, comfort, convenience, security, and beauty.
A case study on the application of activity-based costing on the inductor component
Authors: M Safeiee Filzah Lina , M Saad Siti Khadijah , Abu M Yazid
Published: March 2022

Abstract— Traditional cost accounting (TCA) is no longer reflecting the current economic reality due to distorted information about the profitability of their orders, products and customers. A new costing method is required to overcome the shortcoming of TCA in the era of rapidly increasing product complexity and diversification. The aim of this work is to apply the method of activity-based costing (ABC) on the inductor component for better accuracy. The work begins by collecting data at electronic industry located at Pahang, Malaysia and the product selected is inductor component. ABC focuses on the costs inherent in the activity -based products to produce, distribute or support the products concerned. Through the method, the work successfully gathered the time spent by operator to complete the task given. The largest time spent is at workstation 1 with 92.12% while the smallest at workstation 2,7, 8 and 14 with 0.1727% respectively. The highest cost of capacity supplied is drum core winding with epoxy activity with MYR 5,869,250.40 and the amount of material used is assigned as the cost driver. As the demand quantity of the product is increase by 10%, the total cost of production is predicted to be MYR 6,365,159.18 while the product cost per unit is MYR 1.50.
K-Means Clustering Data COVID-19
Authors: Indraputra R. A. , Fitriana Rina
Published: March 2022

Intisari— Pandemi COVID-19 merupakan suatu kejadian yang menimbulkan banyak sekali data yang sulit diolah. Data-data yang sangat penting seperti jumlah infeksi yang terkonfirmasi, jumlah kematian, dan jumlah orang yang pulih dapat diperoleh dari database seperti Kaggle, akan tetapi data tersebut perlu diolah lagi agar dapat menjadi berguna. Tujuan dari penelitian ini adalah untuk memperoleh dan mengolah data COVID-19 yang terdapat pada Kaggle mengunakan metode Data Mining yaitu K-Means Clustering Untuk K-Means Clustering pada penelitian ini, akan digunakan tiga metode untuk mengolah data yaitu pengolahan menggunakan software Microsoft Excel, dan software Data Mining yaitu Weka dan KNIME. Dari hasil pengolahan data, diperoleh dua cluster data, dimana cluster 2 memiliki jumlah terjangkit dan meninggal yang lebih tinggi dibandingkan dengan cluster 1, maka daerah-daerah cluster tersebut perlu diprioritaskan penanganannya.Abstract— The COVID-19 pandemic is an event that has generated lots of data that are difficult to process. Crucial data such as number of confirmed infections, number of deaths, and number of people recovered can be obtained from databases such as Kaggle, however these data needs to be processed further to become useful. The purpose of this research is to obtain and process COVID-19 data contained in Kaggle using Data Mining method namely K-Means Clustering Therefore, to process Big Data such as this, a Data Mining technique can be used which is Clustering. For K-Means Clustering in this research, there will be three methods used to process this data which is processing using the Microsoft Excel software, and using the Weka and KNIME Data Mining software. From the data processing results, two data clusters are obtained, in which cluster 2 have higher number of confirmed cases and deaths compared to cluster 1, thus the regions in that cluster needs priority in handling.
Analisis Risiko Dampak Wabah Pandemi Covid-19 Terhadap Rantai Pasok IKM Batik Keraton
Authors: Qisthani Nabila Noor , Hidayatuloh Syarif
Published: March 2022

Intisari— Indonesia merupakan salah satu negara yang terdampak covid-19 diberbagai sektor perekonomian, salah satunya adalah Usaha Mikro Kecil Menegah (UMKM). Ketidakstabilan rantai pasok mengakibatkan banyak UMKM tidak dapat menjalankan aktivitas bisnis seperti biasa. Terjadinya wabah pandemi covid-19 pada rantai pasok merupakan contoh dari distruption risk yaitu risiko yang tidak sering terjadi namun memiliki dampak yang besar terhadap rantai pasok. Salah satu UMKM yang terdampak covid-19 adalah IKM Batik Keraton yang merupakan salah satu industri penghasil batik yang terletak di Kota Pekalongan. Penelitian ini bertujuan untuk menganalisis kejadian risiko dan agen risiko yang dapat terjadi pada aliran rantai pasok IKM Batik Keraton yang diakibatkan pandemi Covid-19. Hasil dari penelitian ini menunjukkan ada 26 potensi risiko dan 36 agen risiko yang berhasil teridentifikasi. Terdapat beberapa agen risiko yang muncul akibat dampak pandemi covid-19 yaitu agen risiko A27, A32, A33, A34 dan A35. Dengan pemetaan menggunakan House of Risk dan diagram pareto didapatkan 3 agen risiko yang menjadi prioritas untuk dilakukan strategi penanganan risiko dengan nilai ARP terbesar yaitu kestidakseimbangan lintasan produksi (A3), pekerja yang kurang kompten dibidangnya (A10) dan kelalaian tenaga kerja A29. Abstract— Indonesia is one of the countries affected by Covid-19 in various economic sectors, one of which is Small and Medium Enterprises (MSMEs). Supply chain instability has resulted in many MSMEs unable to carry out business activities as usual. The occurrence of the Covid-19 pandemic outbreak in the supply chain is an example of distruption risk, which is a risk that does not occur frequently but has a large impact on the supply chain. One of the MSMEs affected by covid-19 is the IKM Batik Keraton, which is one of the batik-producing industries located in Pekalongan City. This study aims to analyze the risk events and risk agents that can occur in the supply chain for the IKM Batik Keraton caused by the Covid-19 pandemic. The results of this study indicate that there are 26 potential risks and 36 risk agents identified. There are several risk agents that have emerged due to the impact of the covid-19 pandemic, namely risk agents A27, A32, A33, A34 and A35. By mapping using the House of Risk and Pareto diagram, there are 3 risk agents that are prioritized for risk management strategies with the largest ARP value, namely imbalance in the production line (A3), workers who are less competent in their fields (A10) and negligence of labor A29.
Pemilihan Produk Pandemi (Masker Kain) menggunakan Metode SAW dan WP
Authors: Silalahi Rut Juni Grace , Sinaga Ricka Juslia , Ziliwu Grace Esther Karana , Siagian Novia Kristina , Siboro Benedikta Anna Haulian
Published: March 2022

Intisari— Indonesia menjadi salah satu negara yang memastikan masyarakatnya menggunakan Alat Pelindung Diri (APD) saat terjadi pandemi Covid-19. Alat Pelindung diri (APD) digunakan oleh orang-orang yang berada di luar ruangan atau saat berada di ruang publik karena penyebaran virus ini sangat cepat, dimana Covid-19 dapat menular dari satu orang ke orang lainnya. Pemilihan Produk Pandemi adalah contoh masalah pengambilan keputusan berdasarkan banyak faktor atau kriteria semi terstruktur. Penelitian ini bertujuan untuk menganalisis dan menentukan jenis masker yang sesuai dengan kriteria alternatif dalam perankingan menggunakan metode Simple Additive Weighting (SAW) dan metode Weighted Product (WP). Kriteria yang dipilih dalam metode ini adalah harga, lapisan masker, pengulangan, efektivitas filtrasi, kualitas, penampilan, kesesuaian pelindung wajah, dan kenyamanan. Berdasarkan analisis yang dilakukan dengan metode SAW dan WP, diketahui bahwa jenis masker yang paling efektif dan paling baik digunakan saat terjadi pandemi adalah jenis masker medis. Pemilihan alternatif diperoleh berdasarkan perhitungan metode SAW dengan nilai terbesar 0,6875, sedangkan dengan metode WP diperoleh nilai terbesar yaitu 0,2810. Abstract— Indonesia is one of the countries that ensures that its people use Personal Protective Equipment (PPE) during the Covid-19 pandemic. Personal Protective Equipment (PPE) is used by people outside the room or when in public rooms because the spread of this virus is very fast, where Covid-19 can be transmitted from one person to another through droplets. Pandemic Product Selection is an example of a decision-making problem based on many factors or semi-structured criteria. This study aims to analyze and determine which type of mask fits the criteria of the alternatives in the ranking using method the Simple Additive Weighting (SAW) and Weighted Product (WP) methods. The criteria chosen in this method are price, mask coating, repeatability, filtration effectiveness, quality, appearance, suitability of the face shield, and comfort. Based on the analysis conducted using the SAW and WP methods, it was found that the type of mask that was the most effective and best used during a pandemic was the type of medical mask. The choice of alternative was obtained based on the calculation of the SAW method with the largest value of 0.6875, while using the WP method the largest value was obtained, namely 0.2810. Determination of the best alternative is obtained by involving the criteria chosen by the author for further analysis using available literature source.
Alat Pembayaran Otomatis untuk Depot Air Minum Isi Ulang di Masa Pandemi COVID - 19
Authors: Afandi Mas Aly , Christianti Risa Fareid
Published: March 2022

Intisari— Air merupakan salah satu kebutuhan dasar bagi tubuh manusia. Badan Pusat Statistik (BPS) menyatakan kebutuhan air di Indonesia mencapai 3.242.458 (ribu m3) yang terdiri dari 108.559 (ribu m3) untuk pelanggan sosial, 2.543637 (ribu m3) untuk pelanggan non niaga, 426.267 (ribu m3) untuk pelanggan niaga dan industri, dan 173.995 (ribu m3) untuk pelanggan khusus. Permintaan air bersih yang begitu banyak tidak lepas dari kebutuhan dasar manusia untuk minum. Depot air minum isi ulang merupakan salah satu Industri yang berkembang dalam distribusian air minum. Pandemi COVID – 19 menyebabkan industri depot air minum isi ulang sebagai salah satu potensi penyebaran virus. Hal ini tidak lepas dari adanya interaksi antara pelayanan isi ulang dan beli air minum isi ulang. Indsutri depot air minum isi ulang membutuhkan sebuah inovasi untuk dapat berkembang di bagian otomatisasi. Penelitian ini bertujuan untuk merancang, membuat, dan menguji sistem otomatisasi dalam pembayaran di depot air minum isi ulang menggunakan uang koin yang beredar di Indonesia. Data pengujian berdasarkan penelitian menunjukkan bahwa alat yang dirancang dan dibuat dapat di implementasikan untuk depot air minum isi ulang. Tingkat akurasi dari alat yang dibuat adalah 97,38% dan tingkat kepresisianya adalah 89,50%. Dari penelitian ini dapat disimpulkan bahwa alat yang dibuat mampu menjadi sistem pembayaran otomatis untuk depot air minum isi ulang di masa pandemi COVID – 19. Abstract— Water is basic needs for human body. Badan Pusat Statistik (BPS) shows that water necessity in Indonesia reach out 3.242.458 (thousand m3) consist of 108.559 (thousand m3) for social needs, 2.543637 (thousand m3) for non commercial needs, 426.267 (thousand m3) for commercial and industry needs, and 173.995 (thousand m3) for special customer needs. Clean water needs is very much because of basic human needs to drink. COVID – 19 pandemic makes many refillable drink water industry is one of the many industry that cause virus spread. Refillable drink water industry service makes interaction from shopkeeper with buyer. This condition makes refillable drink water industry need an inovation to survive. Refillable drink water industry need otomation for payment process. This research aims to designing, make, and test payment automation system for refillable drink water industry using coins. Test result according to the research shows that the development device can be implement in refillable drink water industry. Research shows that accuracy device is 97,38% and 89,50% for the precission. According to the research can conclude that device payment system for refillable drink water industry can inmpelent in COVID – 19 pandemic.
Optimasi Lokasi Distribution Center UKM Mina Indo Sejahtera dengan Model Matematis Haversin dan Centre of Gravity Adjusting
Authors: Arsiwi Pramudi , Wijaya Dewa Kusuma , Wahyu Adi Prajanto
Published: March 2022

Intisari— Biaya distribusi produk yang masih cukup tinggi dan juga lokasi konsumen yang tersebar di berbagai wilayah Pulau Jawa menjadi sebuah tantangan yang cukup kompleks bagi UKM Mina Indo Sejahtera, agar dapat selalu memenuhi mayoritas bahkan seluruh demand dari konsumen potensialnya dengan biaya yang seefisien mungkin. Oleh karena itu, diperlukan sebuah desain jaringan supply chain yang optimal bagi UKM Mina Indo Sejahtera, agar seluruh konsumen dapat tetap terlayani dengan total biaya distribusi yang tetap efisien. Metode yang digunakan yaitu dengan menggunakan formulasi model matematis haversin dan juga Center of Gravity (COG) Adjusting. Koordinat lokasi yang dihasilkan terbukti mampu meminimalkan total jarak tempuh dan juga total biaya yang harus dikeluarkan UKM Mina Indo Sejahtera untuk mendistribusikan produknya ke seluruh market khususnya di Pulau Jawa. Hasil penurunan total jarak tempuh dan total biaya distribusi bulanan yang didapatkan melalui formula haversin dan metode COG Adjusting yaitu sebesar 22% dan 24%. Sehingga, apabila UKM Mina Indo Sejahtera memusatkan distribusinya pada lokasi baru tersebut, total jarak yang ditempuh ke seluruh pasar di Pulau Jawa dapat diminimalkan menjadi sejauh 1.720, 4 kilometer, dengan total biaya distribusi bulanan yang dikeluarkan hanya sebesar Rp Rp 11.736.455,-.. Abstract— The cost of product distribution is still quite high and also the location of consumers spread across various regions of Java Island is a fairly complex challenge for Mina Indo Sejahtera SMEs, in order to always meet the majority and even all demands from potential consumers at the most efficient cost possible. Therefore, an optimal supply chain network design is needed for Mina Indo Sejahtera SMEs, so that all consumers can still be served with efficient total distribution costs. The method used is by using a haversin mathematical model formulation and also Center of Gravity (COG) Adjusting. The resulting location coordinates are proven to be able to minimize the total distance traveled and also the total costs that must be incurred by Mina Indo Sejahtera SMEs to distribute their products to all markets, especially in Java. The results of the reduction in total mileage and total monthly distribution costs obtained through the haversin formula and the COG Adjusting method are 22% and 24%, respectively. Thus, if Mina Indo Sejahtera SMEs concentrated their distribution in the new location, the total distance traveled to all markets on Java Island could be minimized to 1,720, 4 kilometers, with a total monthly distribution cost of only Rp. 11,736,455,-.
Model Sistem Pendukung Keputusan Orientasi Pasar: Studi Kasus Factory Outlet
Authors: Rajat Marwan
Published: March 2022

In a marketing development at the factory outlet needed an alternative to quick decisions and was followed by changes in the existing management. Although the reality on the ground that there is only a change in the marketing of factory outlet but not in management. The model helps decision support system to model changes in marketing and other business functions with information technology in responding to changing customer needs to factory outlets. To assist in this modeling is needed as data from the company's internal data, and customer data as external data. These data are quantitative data obtained from the performance appraisal is a comparison between perceive (the performance perceived by customers) with the expectation (customer expectations), then the results will be used to find correlations between the variables of market orientation with customer value. For the correlations obtained will be seen that the market orientation variables most influence on customer value to determine changes in activity on the existing business functions in the factory outlet with the help of COBIT model. The result of this decision support system model is an alternative decision to improvement in activity in the factory outlet business functions.
Analisis Dan Perancangan Ulang Leaf Trolys Yang Memenuhi Kaidah-Kaidah Ergonomi (Studi Kasus di PTP. Nusantara VI Pabrik Teh Danau Kembar)
Authors: Sari Emelia
Published: March 2022

Leaf trolys have been utilized in PTPN VI to transfer tea-leaves between workstations. 75% of operators suffer from manual handling injuries after using  leaf trolys mostly on their back and waist. Rapid Upper Limb Assessment (RULA) method is  utilized to analize whether those injuries caused by working posture. The analysis states all working postures not ideal and need to be changed immediately (level 4). Ideal working postures achieved by redesigning of leaf trolys i.e. new handle, hidraulics, changing the wheel size and  positition. Compliance of ergonomy principles is evaluated by RULA. The analysis reports all working postures have degraded from level 4 to level 1 or 2. Time evaluation reports mostly working postures have reduced the standard time,  especially in tea-leaves transfer activity from leaf trolys to DIBN 1 machine inlet by 62,39%.
Model Rencana Produksi Kaca Otomotif Dengan Metode Klasifikasi ABC Untuk Menurunkan Tingkat Persediaan (Studi kasus di PT. Asahimas Flat Glass, Tbk.)
Authors: Ruhimat Agus
Published: March 2022

The paper discusses about the model of production plan for automotive glasses using the ABC classification method to reduce  the supply level. The step being taken in this research is to classify each glass size based on each class and calculate the weight of primary factors influencing the accumulation of supply in form of cash value, risk of under supply and accuracy of estimate. The model of proposed production planning is based on the ABC classification method, and the result could direct the planning officer to conduct the different handling of supply for all glass sizes based on their actual condition.  Using this model, we obtain the realistic figure of supply level according to the needs and after being verified the figure can be reduced and the model cab be applied. In this paper, we also conduct case study in a main producer of automotive glass in Indonesia, which is PT.  AMG Tbk., which hereinafter is called AMG.  AMG is a primary producer for automotive glass in Indonesia with a market share accounting for more than 80%. Currently, almost all automotive industries implement Lean concept which among other is known as Kanban system where the incoming goods should exact, either in time and in the quantity. AMG as the supplier of automotive glasses should anticipate the risk of under supply because of the lack of estimate accuracy or reliability of the production process; so far the production planning officer has set the policy in the supply level of 1,3 month in the end of the current month for all glass sizes with average value of supply per month reaching 20 billions rupiah. The figure is too big because it is the retained cash flow, so that the level of supply for 1.3 month should be reviewed
Model Konseptual Analisis Perbaikan Kinerja Industri Gula
Authors: Dewayana Triwulandari S. , Ma’arif M. Syamsul , Sukardi Sukardi , Raharja Sapta
Published: March 2022

Research related to the analysis of performance improvement (as used in a systematic process to identify performance, determine the desired performance targets, and to determine the priority of improvement at the sugar industry in Indonesia has not been done. This research aims to produce a conceptual model that can be used to analyze the sugar industry performance improvement. The model produced an integrated model to achieve the objectives of the analysis phase of performance improvement. The resulting model consists of five sub-models : 1) grouping, 2) performance measurement, 3) selection of the best performance, 4) analysis of best practices, and 5) determination of priorities for improvement.
Sistem Pendukung Keputusan Rantai Pasok Koperasi Pengolahan Susu X Di Jawa Barat
Authors: Fitriana Rina , Djatna Taufik
Published: March 2022

A decision support system is a computerized information system, designed to support business and organizational decision-making activities. Agroindustrial Supply Chain Management (Agro-SCM) is the management of the entire set of production, transformation/processing, distribution and marketing activities in agroindustry by which a consumer is supplied with a desired product. Milk Processing Cooperation has a strategic role to support the milk industry development in Indonesia. The purpose of this research is to make a proposal supply chain decision support system of Milk Processing Cooperative X in West Java. The first sub model is Sales and Purchase. The second sub model is a Quality Risk. Third sub model is the Forecasting. The fourth sub model is Transportation. The Fift sub model is Supply Chain Management. Validation and Verification of Decison Support System conducted through case studies with empirical data in Milk Processing Cooperative X in West Java
PERANCANGAN MODEL PENERIMAAN DAN EVALUASI PESANAN PADA INDUSTRI KEMASAN KARTON YANG BERBASISKAN MAKE TO ORDER
Authors: Azmi Nora , Jamaran Irawadi , Arkeman Yandra , Mangunwidjaja Djumali
Published: March 2022

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.
ANALISA SUPPLY CHAIN RISK MANAGEMENT BERDASARKAN METODE FAILURE MODE AND EFFECTS ANALYSIS (FMEA)
Authors: Badariah Nurlailah , Surjasa Dadang , Trinugraha Yuda
Published: March 2022

Today PT. Jakarta Pertamina Unit Produksi Pelumas Jakarta (UPPJ) has some problems with inbound supply of raw materials. Deficiency dock may pose risks to the process of loading raw material base oil, resulting in delay in supply of raw materials. This delay could have an impact on other processes, such as delays to produce, and iddle of existing production facilities at the plant; it would be very detrimental to the company if the obstacle is often the case. Supply chain management is always influenced by three factors, namely how to reduce costs, reduce time and improve quality. If at first study on supply chain management is only classified in three categories, namely the field of operations, design and strategy, then this can be added to the four categories, namely the field of risk, which is commonly referred to as supply chain risk Management (SCRM). Based on the problems that occurred the first stage done is to identify risks in each process and then determine the influence of the effect in terms of cost, time and quality of the results of the determination of the influence. the next step is to determine the weights based on the severity of the bottleneck (severity), the possibility of resistance (Occurrence) and the possible causes of the barriers can be detected (Detection). The last step is to calculate the Risk priority Number (RPN) is obtained from the product of severity, Occurrence and Detection then obtained the highest priority for 144 the factors that most influence the leak rate of the production process.
PERANCANGAN TATA LETAK DEPARTEMEN FINISHING PABRIK CV. SG-BANDUNG
Authors: Anugrawati Hidayat Nita Puspita
Published: March 2022

CV. SG Bandung is a convection company that produces moslem clothes. High competitive in market push company to be more effective and efficient.Company must be able to increase productivity on the production floor and reduce cost.From this observation, CV. SG doesn’t have a good layout. It seen from the departments and facilities in finishing department placement that have not been arranged properly. One of the parameters of a good layout is minimize material handling cost which can be seen from the movement moment, which is calculated by multiplying the distance and frequency of material movement between facilities. Before preparing the new layout, it needs the initial layout, from-to chart, move-cost chart which becomes input for CRAFT algorithm in the WinQSB software.Through this research, can be obtained the plant facility layout design is better, it can be seen from the movement moment which can be reduced in the finishing department proposed layout.
TRUECRYPT SEBAGAI ALAT BANTU YANG EFEKTIF UNTUK PENYIMPANAN DOKUMEN MENGGUNAKAN PERANGKAT YANG TERENKRIPSI
Authors: Adisuwiryo Sucipto
Published: March 2022

The document is one of the outputs of an activity both individuals and organizations. With thepassage of time and the increasing activity of the resulting document will be many more. The resultingdocuments exist that are not confidential, but there is also a secret document in which those who do nothave the right authorization or permission is forbidden to access the document. The more secretdocuments to be protected, the more inefficient when any protected documents one by one. Hence theneed is being protected storage devices such documents, not the documents.TrueCrypt is a software that can be used to create an encrypted document storage device that canbe stored either in the hard disk or USB flash disk. Document storage device capacity can vary rangingfrom kilobytes (KB) to the units of gigabytes (GB). In addition, TrueCrypt can be mounted either on theMicrosoft Windows operating system, Mac OS X, and Linux. Encryption and decryption process fordocument storage devices will be done automatically before loading and storage process with no userintervention. To protect your document storage device with TrueCrypt can use a password only or acombination of passwords and key-file.TrueCrypt can be used to decrypt the document storage device with more than one format (FATand NTFS) simultaneously. Two or more document storage device that has been created can be decryptedon a different drive so that all storage devices such documents can be used like any other storage devicedocuments. After the document storage device didekripsikan or op
Perancangan dan Pengukuran Kinerja Rantai Pasok Produk Alat Kesehatan dengan Supply Chain Operations Rerenrence (Scor)
Authors: Amran Tiena Gustina , Gonawan Valianto
Published: March 2022

In general, good Supply Chain Management (SCM) provides benefits, namely customer satisfaction, increasing revenue, decreasing costs, increasing asset utilization, increasing profits. In a medical equipment company, one of the products produced is Gris Emergency Trolley 3 Drawer. There are products returned by consumers and delays in sending them, indicating that the company's supply chain needs improvement with the first step in measuring performance. The purpose of this study is to design a performance measurement system and measure the supply chain performance of Gris Emergency Trolley 3 Drawer using the SCOR (Supply Chain Operations Reference) method. SCORcards uses 5 perspectives as indicators for measuring SCM performance, namely supply chain reliability, supply chain responsiveness, supply chain agility, supply chain costs and supply chain asset management. Based on the results of SCORcards performance measurement there are 2 perspectives whose performance is still low, namely the perspective of Supply Chain Reliability with the Perfect Order Fullfilment metrics having attainment of 22.29%, metric of Orders Delivered in Full having an achievement of 57.96%, Delivery Performance to Customer Commitment having 66.89%, the overall perspective of Supply Chain Reliability obtained a value of 2.69, which means that this perspective is in fairly good condition. Supply Chain Cost Perspective with Supply Chain Management Cost (as a Precentage of Revenue) metric has 66.70%, Sold Cost of Goods (as a Precentage of Revenue) has 88.41% and metrics Cost to Return has an achievement of 15%, overall perspective Supply Chain Cost has a value of 2.13 which means that this perspective is in a bad condition.
Penyelesain Vehicle Routing Problem (VRP) dalam Penugasan Kendaraan dan Penentuan Rute untuk Meminimasi Biaya Transportasi pada PT. XYZ dengan Menggunakan Algoritma Genetika
Authors: Abdurrahman Ahmad Fauzan , Ridwan Ari Yanuar , Santosa Budi
Published: March 2022

In the process of transportation it is very in accordance with the route, the route the mode / vehicle goes to the destination. Route about the number of vehicles and which locations are passed. PT XYZ is a company engaged in the fast moving consumer goods (FMCG), with fields that make the flow of goods going higher so that the distribution of goods becomes fast and frequent. The distribution process is carried out using 1 fleet in each customer. Currently in the process of distributing goods, companies still use utilities that are used, so that the availability of empty space in capacity still occurs and this makes transportation costs high. Combining (considering) some customers is possible, while considering the time window, capacity and some products. This study discusses the route by considering various constraints to get the route, the number of vehicles, increasing the utility of each vehicle and the optimal distance so as to minimize transportation costs. Using a genetic algorithm that is preceded by the nearest neighbour algorithm is used to resolve this complication. Later the route will be formed and get the number of vehicles, increase the number of vehicles and the optimal distance. These results make an increase in vehicle utility by an average of 35.317%, an increase in the number of vehicles by 34.05%, and a distance of 10.075% thus saving transportation costs by 26.56% from the initial conditions.
Perancangan Pebaikan Kualitas Produk Baut dan Sekrup Menggunakan Metode Six Sigma dan Data Mining di PT. A
Authors: Fitriana Rina , Anisa Nur
Published: March 2022

PT. A is a manufacturing company that manufactures bolts and screws in accordance with customer demand. This study aims to determine the type of dominant defect that causes a decrease in quality, the factors that cause disability and apply proposed improvements to reduce the level of disability. Improvements are made by using the Six Sigma method, namely the DMAIC stage and making a decision tree (decision tree) using the Data Mining application. Where for the DMAIC stage are: Define, Measure, Analyze, Improvement, and Control (DMAIC). At the define stage, it was found that the production process with the largest number of defects was in the process of heading with the number of defects exceeding the target of 600 PPM (parts per million) that had been determined by the factory during April - June 2017. The heading process was the most important problem focused on the research conducted. The results of identification of Critical to Quality (CTQ) for the characteristics of attribute defects in the production of bolts and screws in the heading process are head burry, head no center, head crack, and body scratch. The second stage is the measure stage, where the control used by statistical process control (SPC) for attribute data is using the P control map and is known to have a sigma 3.50 level with a DPMO value of 22,727. The third stage is the Analyze stage, analyzing the problems of the four types of defects using the Ishikawa diagram. The improvement stage resulted from the decision tree in data mining processing that is obtained by standardizing inspections with seven IF THEN RULE functions, and making maintenance activity plans in the heading process. After implementation, there is a control stage, the results of the analysis show that after implementation using the data mining method and the Six Sigma method, the sigma value has increased which was originally 3.50 to 3.67.
Analysis of Production Priority using Winter Forecasting Method and Analytical Hierarchy Process
Authors: Fitriyono Ary , Kusuma Raditya Indra , Purba Humiras Hardi
Published: March 2022

Forecasting is a tool to determine the extent of future conditions which will affect decisions on the strategic policy direction. Making the best decisions requires an analysis tool as a means for the level of accuracy can be achieved. This paper aims to forecast sales conditions radiator type A, type B and type C in 2016 and set priorities based on the results of analysis AHP production. The method used in forecasting using the method of Winter and decision analysis using AHP Pairwise comparison. Forecasts for radiator type A and type B tend to fluctuate while the linear C-type radiator, resulting in the production of type C are preferred. AHP analysis results indicate that the radiator of type C have a dominant score on the criteria of Production (0.382), Selling Price (0.376), Design (0.340), and Market Segment (0.329). As for Durability criteria, type B has the highest score of 0.391. Changes in sensitivity criteria has no significant effect on C-type radiator, so that it can be concluded radiator type C is a priority in radiator production line at company X for 2016.
Penjadwalan Produksi Flow Shop untuk Meminimalkan Makespan dengan Metode Pour, Pemrograman Dinamis dan Branch and Bound di CV. Bonjor Jaya
Authors: Kurniawati Dwi Agustina
Published: March 2022

Scheduling is defined as the process of allocating resources to select a set of tasks within a certain period. CV. Bonjor Jaya implements scheduling with the First Come First Serve (FCFS) system. This study aims to find the sequence combination of products that have a minimum makespan value using the Pour method, Dynamic Programming and Branch and Bound. The Pour method produces a combination of 3-4-2-1 with an makespan value of 89814.59 seconds. Dynamic Programming Method produces a combination of 3-1-2-4 sequence with an makespan value of 90012.03 seconds. The Branch and Bound method produces a sequence combination of 3-4-2-1 and 3-2-4-1 with an makespan value of 89814.59 seconds. Based on the makespan value obtained, the Pour and Branch and Bound methods are the most appropriate method to be applied in the CV. Bonjor Jaya with the difference in makespan value 484.39 faster than the scheduling method applied by the company.
Optimizing the Assembly Process in the Hang on Part Station by Adding Supporting Tools at Automotive Company PT. XYZ Indonesia
Authors: Lie Felix Siswanto , Ahmad Anton Royanto , Awibowo Setijo
Published: March 2022

Human is the most important aspect in every manual process. When it comes to the manufacturing process, the power of human will affect a huge part of the result. It does not matter how good the raw material is, if the worker cannot do the good job to the material, the product will not be good as well. The same case happens in an automotive company. In their factory plant, most of all activities are done by human. The automatic process can still be counted. These manual processes affect directly to the cycle time in the stations. In this research, the focus of the observation is in a Hang on Part station which is the first station in the assembly line of this automotive factory plant. Since it is the first place to start the assembly process in whole plant, an improvement is important in order to increase the productivity in the assembly line. The improvement is conducted by designing the supporting tools to help the worker in the station optimizing the activity they do, analyzing the product with software to see if there is any mistake by the design, and count the new cycle time by using the supporting tools to see if there is any improvement. It is expected to reduce the cycle time and reduce the worker in the station.
Aplikasi Model DMAIC dari Six Sigma dapat Memperbaiki Kualitas Produk Kapur Aktif
Authors: Sudirdjo Purwo
Published: March 2022

The need for active lime for the industry is quite a lot, including as a raw material for the production process, management of its main industrial waste and as a filler because many elements of CaO are needed. The needs are still insufficient because the items requested are mostly not in accordance with the specter requested by the user and after all the producers still use traditional methods and their human resources are still low so that meeting consumer demand is very difficult. With the Six Sigma method, the DMAIC model is used to improve and improve the quality of continuous active lime products so as to improve quality and quantity in the hope that consumer needs can be met. Based on the results of testing in the field and making repairs in the production unit to fruition can reduce the value of DPMO in the month before repairs (January - March 2015) amounting to 159506 and in June to 11585 with a percentage decrease of 7.26%. Thus the increase in sigma value in April was 3.43 sigma to 3.77 sigma. if a comparison of rework cost recording is made, the amount of rework cost before repairs is 10.63% of the total production value (Rp. 12,242,000) and after repairs in June 4.63% (Rp. 5,672,000), the savings obtained from the company are 6% (Rp. 7.343689, -) for spending on rework costs. By applying the Six Sigma method the DMAIC model in the production process which always makes continuous improvements can increase profits on the part of producers.
Model Sistem Intelejensia Bisnis Untuk Perbaikan Pelayanan E-Service Pada PT. X
Authors: Fitriana Rina , Saragih Johnson , Aseanita Marya Anggi
Published: March 2022

PT. X is one of the best airlines in Indonesia. The business intelligence system can participate as a tool to provide accurate and useful information for decision makers within the time limit that is determined to support decision making in the company's E-service services. The purpose of this study is to identify the factors that are attributes of E-Service services at PT. X. and proposed the adoption of the Business Intelligence system model for PT.X airline E-service services as a proposed service improvement. The data used are customer comment data on the Jakarta route to Singapore and Singapore to Jakarta for the period January to December 2015. The research method used is a combination to develop business intelligence research is the Pareto Diagram, Unified Modeling Language (UML), Naïve Bayes Data Mining algorithm, On Line Analytical Processing (OLAP), Extract, Transform, Loading (ETL), and Data Warehousing. From the results of data processing that has been done, it can be seen the factors attributes of E-service services are case origin, comment type, flight number, root case, and unit to charge. From the results of the calculation of the second stage of Naïve Bayes data mining, it is obtained that the greatest probability of the highest probability on the Jakarta route to Singapore is the prior probability between the customer care classification class and the suggestion form with a prior probability value of 0.92, between the inflight service classification class and the customer care priority value. equal to 1, class classification comment type compliment and customer care with prior values probability of 0.76. The prior probability of the greatest probability on the Singapore route to Jakarta is the prior probability between the customer care classification class and the suggestion form with the prior probability value of 0.92, between the inflight service classification class and the customer care with a probability prior value of 1, and between class classifications comment type compliment and customer care with a prior value of probability of 0.78. Based on the results of the largest posterior calculations, the proposed improvements were prioritized more on divisions or units to charge.