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MANAJEMEN PEMELIHARAAN PENCEGAHAN PADA KOMPONEN PERALATAN REBUSAN PREVENTIVE MAINTENANCE MANAGEMENT FOR STEW EQUIPMENT Hasanah, Ina Siti; Machfud, Machfud; Sukardi, Sukardi; Hambali, Erliza
Jurnal Ilmiah Ekonomi Bisnis Vol 17, No 3 (2012)
Publisher : Universitas Gunadarma

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Abstract

Pemeliharaan pencegahan pada suatu sistem sangat diperlukan untuk menjaga agarkegiatan produksi tidak berhenti. Kehandalan suatu sistem yang baik terlihat darijarangnya terjadi kerusakan pada sistem. Penelitian ini bertujuan untuk merencanakanpemeliharaan pencegahan komponen peralatan rebusan. Untuk itu pertama sekalididentifikasikan distribusi kerusakan komponen menggunakan uji kebaikan suai.Perencanaan pemeliharaan pencegahan kemudian disimulasikan. Hasil simulasimenunjukkan bahwa tindakan pemeliharaan pencegahan untuk komponen Seal pinturebusan sebaiknya dilakukan setiap 356 jam dengan kehandalan meningkat sebesar29,08% pada t = 1039,9207. Tindakan pemeliharaan pencegahan untuk komponen VBeltsebaiknya dilakukan setiap 1205 jam dengan kehandalan meningkat sebesar37,813% pada t = 1969,613.
IMPACT OF BIODIESEL AGROINDUSTRY ON THE ACHIEVEMENT OF NATIONAL ENERGY SECURITY Firdaus, Alfa; Machfud, Machfud; Suryani, Ani; Achsani, Noer Azam
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.2.009

Abstract

The National Energy General Plan (RUEN) has set 11.6 million kiloliters of biodiesel production target in 2025. The determination of biodiesel production targets in RUEN is part of the objectives mandated in the National Energy Policy (KEN), which is to achieve energy security and independence. Therefore, this study aims to analyze the impact of biodiesel agroindustry on the achievement of national energy security in 2025. The simulation conducted in this study uses Long-range Energy Alternatives Planning (LEAP) software, which based on the accounting model. The model has run on Business as Usual (BAU) scenario, using four dimensions and 12 indicators of energy security in the context of biodiesel agroindustry. Model simulation results show a decreasing energy security trend in the period of 2022-2025, while the biodiesel production target, which was set at RUEN, cannot be achieved in 2025. This is mainly related to availability and affordability, which experienced a decline in the period. Further research needs to be done on the strategy of developing biodiesel agroindustry by considering scenarios of increasing production capacity and productivity as well as its impact on national energy security.
Marine fuel efficiency for oil and gas offshore operation support activity by application of technology based speed control and contractor performance management Kelana, Alang; Ligafinza, Audra; Machfud, Machfud; Saipullah, Safri; Soedadi, Suryaningsih
Sustinere: Journal of Environment and Sustainability Vol 2 No 2 (2018): pp 65-107 (August 2018)
Publisher : Centre for Science and Technology, IAIN Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.171 KB) | DOI: 10.22515/sustinere.jes.v2i1.32

Abstract

PHE ONWJ is an upstream oil and gas company performing exploration and production of oil and gas. PHE ONWJ is subsidiary of Pertamina Hulu Energy (PHE) under PERTAMINA Group with working areas of 8.300 km2 covering offshore and onshore sites.  As response to the declining of global oil price, PHE ONWJ is required to reduce its operating costs. One of them is marine operation that accounted for 10% of the total operating cost, 53% of  which is the cost of energy (fuel). The marine fuel efficiency program is a technology based on approach through series of interconnecting activities namely determination of vessels’ economical speed, vessel control by Fuel Monitoring System (FMS) and Vessel Tracking System (VTS), and improvement of contractor performance management. This program has saved diesel fuel consumption for approximately 10,000 kiloliter or equivalent to savings by 34%. Financially it has saved Rp 80 billion and reduce emission by 40 ktons of CO2e during the year 2016. The keys of success of this program are strong commitment to implement economical speed, contractor  partnership, capacity building and awareness to raise contractor’s competence also behaviour towards energy efficiency.
Traceability System Model for Quality Gelatin Raw Material of Cattle Hides Nur, S; Munandar, JM; Machfud, Machfud
ANIMAL PRODUCTION Vol 12, No 3 (2010): September
Publisher : Universitas Jenderal Soedirman, Faculty of Animal Science, Purwokerto-Indonesia

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Abstract

Several criteria must be accomplished within the provision of quality products in terms of the types of materials, the processing methods and effort to get it. Traceability system involves various parties that have different needs and goals in the process of supplying raw materials.  Hence, there is a need for institutional systems engineering that can organize and manage the tracking process, the procurement of raw materials that guarantee the origin of gelatin raw materials, and facilitate the industry and customer to create a standardized quality of product. The purpose of the study formulates the institutional tracking models of gelatin raw material from cattle hide based on various criteria and assessment of the expert opinion. The methods used in this study were Interpretative structural modeling to formulate a representation of institutional tracking efficiently and analytical hierarchy process to determine the tracking strategy of industrial gelatin raw materials from cowhide. The results obtained from the study were some key elements of institutional tracking model for industrial gelatin raw materials from cowhide and the traceability strategies for industrial raw materials from cattle hide gelatin Indonesia. (Animal Production 12(3): 190-198 (2010) Key Words: traceability, institutional model, cattle hide, gelatin
ANALISIS SPASIAL KEMAMPUAN DAN KESESUAIAN LAHAN UNTUK MENDUKUNG MODEL PERUMUSAN KEBIJAKAN MANAJEMEN LANSKAP DI SEMPADAN CILIWUNG, KOTA BOGOR Susetyo, Budi; Widiatmika, Widiatmaka; Arifin, Hadi S; Machfud, Machfud; Arifin, Nurhayati H.S.
MAJALAH ILMIAH GLOBE Vol 16, No 1 (2014)
Publisher : Badan Informasi Geospasial

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Abstract

ABSTRAKKeputusan Presiden No 32/1990 menyatakan bahwa sempadan sungai adalah kawasan perlindungan setempat. Pelestarian kawasan sempadan ini juga didukung oleh peraturan lainnya. Meskipun demikian, berbagai pelanggaran terhadap peraturan perundangan terus terjadi, termasuk banyaknya permukiman ilegal di kawasan sempadan Ciliwung yang memunculkan bahaya lingkungan. Oleh karena itu langkah pencegahan perlu segera ditempuh. Model perumusan kebijakan pengelolaan lanskap dirancang untuk dapat mengatasi hal ini melalui dukungan analisis spasial kemampuan lahan dan kesesuaiannya. Tujuan dari penelitian ini adalah untuk menganalisis kemampuan lahan dan kesesuaiannya untuk beberapa tanaman guna mendukung program penghijauan di kawasan sempadan Ciliwung. Evaluasi lahan dilakukan melalui analisis Satuan Peta Lahan (SPL). Kawasan sempadan Ciliwung di Kota Bogor ini terbagi menjadi 18 SPL. Analisis spasial yang dilakukan berdasarkan data tahun 2006-2013, menunjukkan terjadinya peningkatan permukiman ilegal sebesar 0,8% dan tingkat pengurangan luas ruang terbuka hijau sebesar 0,17%. Hasil analisis kemampuan lahan menunjukkan bahwa 85,78% dari total luas lahan memiliki kemampuan sedang hingga tinggi (kelas II-e, II-w, III dan IV-e). Kelas kemampuan lahan II-IV direkomendasikan untuk lahan pertanian, sedangkan kelas V-VII direkomendasikan sebagai lahan konservasi. Berdasarkan analisis kesesuaian lahan, daerah ini memiliki potensi kesesuaian lahan untuk jenis tanaman budidaya, khususnya buah-buahan. Hasil ini dapat menjadi alat yang kuat untuk merumuskan kebijakan pengelolaan lanskap di sempadan Sungai Ciliwung di Kota Bogor.Kata Kunci: evaluasi lahan, kemampuan lahan, kesesuaian lahan, manajemen lanskap, penghijauan, kebijakanABSTRACTAccording to the Presidential Decree No. 32/1990, riparian area is among locally protected areas. Other government regulations strongly recommend on conservation of the riparian area. Typically, continuous violation of governmental regulation is noted mainly illegal settlements in the Ciliwung riparian area, which led to environmental hazards. Hence preventive major should be taken in this regard. A policy formulation model of landscape management can be designed through spatial analysis of land capability and land suitability. The aim of this research is to analyze land capability and suitability for re-greening program in the Ciliwung riparian area. Land evaluation is carried out through analysis of soil map units (SPL), which are divided into 18 SPL, followed by land capability and suitability analysis. Results of spatial analyzes based on data year 2006-2013 showed a rate of increase in illegal settlement area by 0.8% and a rate of reduction in green open space area by 0.17%. The result of land capability analysis shows that the total area is approximately 85.78% has moderate to high land capability (class II-e, II-w, III-e and IV-e). The land capability classes II-IV are recommended for agricultural land, while classes V-VII are recommended for conservation area. Based on land suitability analysis, this area has potential for local crops. These results can be strong tools for formulating a landscape management policy for Ciliwung riparian area in Bogor City.Keywords: land evaluation, land capability, land suitability, landscape management, re-greening, policy
DINAMIKA PERTUMBUHAN DAN STATUS KEBERLANJUTAN KAWASAN PERMUKIMAN DI PINGGIRAN KOTA WILAYAH METROPOLITAN JAKARTA Hidajat, Janthy Trilusianthy; Sitorus, Santun R.P; Rustiadi, Ernan; Machfud, Machfud
MAJALAH ILMIAH GLOBE Vol 15, No 1 (2013)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.635 KB) | DOI: 10.24895/MIG.2013.15-1.77

Abstract

ABSTRAKPertumbuhan perkotaan di Indonesia, khususnya di wilayah metropolitan Jakarta secara fisik ditandai denganpertumbuhan yang cepat di pinggiran kota (suburbanisasi), membentuk daerah permukiman baru dimanapertumbuhannya cenderung meluas dan tersebar secara acak serta tidak terkendali (urban sprawl). Daerah pinggirankota adalah zona transisi yang berada dalam proses tekanan perkotaan, mengakibatkan terjadi kondisi degradasilingkungan, krisis infrastruktur, kemacetan, risiko bencana dan fragmentasi kelembagaan sehingga prosespertumbuhan mengarah pada ketidakberlanjutan. Tujuan penelitian ini adalah menganalisis dinamika pertumbuhandan status keberlanjutan kawasan permukiman di pinggiran perkotaan wilayah metropolitan Jakarta. Analisisdilakukan dengan menggunakan Teknik GIS dan Teknik Multi Dimensional Scaling (MDS). Hasil penelitianmenunjukkan bahwa kecenderungan pertumbuhan meningkat setiap tahun dengan percepatan sebesar 2,35 dan nilaiindeks sprawl sebesar 7,21 serta nilai indeks status keberlanjutan multi dimensi sebesar 41,46.Kata Kunci: Pertumbuhan, Status Keberlanjutan, Kawasan Permukiman, Pinggiran Kota.ABSTRACTThe growth of urban areas in Indonesia, especially in Jakarta metropolitan area is physically marked by rapidgrowth in the urban fringe (suburbanization), which is forming a new settlement areas where its growth tend to bewidespread and dispersed randomly which is getting out of control (urban sprawl). The urban fringe area is atransitional zone that is in theurban pressures process which resulted in the degradation of environmental,infrastructure crisis, congestion, disaster risk and institutional fragmentation so that the growth process leads tounsustainability. The aims of this research were to analyze the dynamic of growth and sustainability status ofsettlement areas in urban fringe of Jakarta metropolitan area. Analysis was done by using GIS Technique and MultiDimensional Scaling (MDS) Technique. The result showed that the growth trends was increasing every year with anacceleration of 2.35 and a sprawl index of 7.21. The sustainability status of settlement area was less sustainabilitywith a sustainability index of 41.46.Keywords: Growth, Sustainability Status, Settlement Areas, Urban Fringe.
The Impact of Mobile Internet Adoption by Cocoa Farmers: A Case Study in Southern East Java, Indonesia Nabhani, Irfan; Daryanto, Arief; Machfud, Machfud; Rifin, Amzul
INTERNATIONAL RESEARCH JOURNAL OF BUSINESS STUDIES Vol 8, No 2 (2015): August-November 2015
Publisher : Universitas Prasetiya Mulya

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Abstract

Model Prakiraan Harga dan Permintaan pada Rantai Pasok Karet Spesifikasi Teknis Menggunakan Jaringan Syaraf Tiruan Erni, Nofi; Maarif, M. Syamsul; S.Indrasti, Nastiti; Machfud, Machfud; Honggokusumo, Soeharto
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 1, No 3 (2012)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v1i3.49

Abstract

Karet spesifikasi teknis (TSR) merupakan jenis karet alam yang penting, dengan pertumbuhan permintaan yang tinggi dibanding jenis karet alam yang diproduksi dan diekspor oleh Indonesia. TSR paling banyak digunakan sebagai bahan baku untuk industri ban, sehingga dengan tumbuhnya indutri otomotif mendorong peningkatan permintaan terhadap TSR. Namun permasalahan muncul dalam produksi TSR, dimana tingkat  fluktuasi baik karena kelebihan maupun kekurangan produksi sangat berpengaruh terhadap perubahan harga TSR di pasar Internasional. Untuk mengurangi fluktuasi tersebut diperlukan suatu metode untuk memperkirakan tingkat permintaan dan harga. Penelitian ini bertujuan untuk merancang suatu metode prakiraan yang dapat merperkirakan tingkat harga dan volume permintaan untuk TSR 20.  Prakiraan dilakukan dengan Jaringan Syaraf Tiruan (JST) dengan algoritma propagasi balik, menggunakan data perkembangan pasar TSR di bursa berjangka SICOM. Model JST yang dirancang  mempertimbangkan pola harga, pola permintaan dan interaksi kedua faktor.  Hasil simulasi menunjukkan penggunaan 5 input neuron yaitu: 1) harga tertinggi, 2) harga terendah, 3) harga penutupan, 4) volume permintaan awal, 5) volume permintaan penutupan, 15 neuron pada lapisan tersembunyi dan 2 output yaitu harga dan volume permintaan pada lapisan output. Tingkat akurasi hasil prakiraan harga mencapai 91% dan akurasi prakiraan permintaan 87%. Berdasarkan hasil prakiraan ditentukan status harga dan permintaan. Harga tinggi jika perbedaan antara nilai maksimum dan nilai tengah lebih tinggi dari 47%, harga rendah jika perbedaan antara nilai minimum dan nilai tengah lebih dari 20%.  Prakiraan permintaan dinyatakan tinggi atau rendah jika terjadi peningkatan maupun penurunan sebesar 50 % dari rata-rata permintaan.Abstract Technically Specified Rubber (TSR) is the most important of natural rubber type which has a high demand growth which is produced and exported by Indonesia. TSR is mostly used as raw material for tire industries, as the world’s automotive industries grow up the demand for TSR is also rise up. However, the problem appears in the production of TSR, which is fluctuative production rate in the form of over and under production correlated to the price change in International market.  Therefore, a method to forecast the price and demand level is needed to design in order to reduce fluctuation. The result is a forecasting that used as an input for preparing and adjusting TSR rubber production planning that working adaptively with market condition by utilising the expert knowledge. This research aimed to design a method that can forecast the changes in price level and demand volume. Artificial Neural Network (ANN) which is  backpropagation algorithm that has been designed according to data TSR market condition in SICOM is used in this research, the ANN model is modified by observing the price pattern, demand pattern and the connection between both of them together. Experiments have shown that the optimal architecture network for price and demand forecasting can be obtained by using 5 different neuron parameter, there are: 1) the highest price, 2) the lowest price, 3) the closing price, 4) demand volume interest, 5) demand volume close for input layer, 15 neuron for hidden layer and 2 different neuron there are price and demand volume for output layer. The accuracy of forecasting price had reached 91% and 87% for forecasting demand.  Based on forecasting result had determined the state of price and demand. The price is high if the differences between maximum and mean score is higher than 47% and the price is low if the differences between the minimum and mean score is higher than 20%. The demand is high if the demand forecasting is higher than 50% and it is low if smaller than 50% of average demand volume.
Model Penunjang Keputusan Jadwal Produksi Jus Buah Segar Maflahah, Iffan; Machfud, Machfud; Udin, Faqih
Jurnal Teknik Industri Vol 13, No 1 (2012): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.625 KB) | DOI: 10.22219/JTIUMM.Vol13.No1.51-59

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Planning and production control are important factors to determine the efficiency derived through proper management of raw material supply of fresh fruits, production planning and master production schedule. This research aimed to develop the aggregate production planning model, and master production schedule model for juice production from fresh fruit, while also considered the perishability of the fresh fruit. There were several methods applied in the works, namely autoregressive integrated moving average (ARIMA) for forecasting of raw material product sale, mathematical model for raw material supply, linear programming for production planning and prospective production scheduling to develop master production schedule. This research developed software for decision support system called RP_JUS. The results showed that all raw material damage was distributed exponentially. Decision Support Model of Production Schedule for Fresh Fruit Juice can be applied to the processing indudtries that use fresh fruit.
MODEL PERENCANAAN PRODUKSI PADA RANTAI PASOK CRUDE PALM OIL DENGAN MEMPERTIMBANGKAN PREFERENSI PENGAMBIL KEPUTUSAN Hadiguna, Rika Ampuh; Machfud, Machfud
Jurnal Teknik Industri Vol 10, No 1 (2008): JUNE 2008
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.10.1.pp. 38-49

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A model of production planning in Crude Palm Oil industry is discussed on this paper. An interactive model is made due to the involvement of decision maker’s preference in production planning. The model is built for Nucleus-Plasma palm estate system. The sources of fresh palm fruit bunches are obtained from nucleus estate, plasma estate and outsourcing. A single objective fuzzy linear programming model is built with the following steps: (1) Decision variables, parameters are identified from the real system of Crude Palm Oil industry as well as determination of constraints and objective function; (2) Fuzzy parameters are determined using modified S curve membership function. Linear programming model is also formulated at this step. Risk quality of raw material is represented by percentage of defect raw material; (3) Model is then validated using data from Nucleus-Plasma palm estate system. The result shows that S curve membership function is able to represent the preference of decision makers. Abstract in Bahasa Indonesia: Tulisan ini membahas sebuah model perencanaan produksi dalam kerangka rantai pasok agroindustri crude palm oil (minyak sawit mentah). Model dibuat interaktif karena melibatkan preferensi pengambil keputusan dalam perencanaan produksi. Model dibangun pada lingkup perkebunan yang menggunakan sistem Perkebunan Inti Rakyat (PIR). Sumber pasokan tandan buah segar berasal dari kebun inti, kebun petani plasma, dan kebun luar. Konsep pemodelan yang diterapkan adalah programa linear fuzzy dengan obyektif tunggal. Model dikembangkan dalam beberapa tahapan. Pertama, mengidentifikasi variabel, parameter, kendala dan fungsi obyektif. Kedua, menetapkan parameter fuzzy dengan fungsi keanggotaan berbentuk kurva S dimodifikasi. Pada tahap ini dilakukan formulasi model dalam bentuk programa linear. Resiko kualitas yang berasal dari bahan baku direpresentasikan dalam bentuk persen jumlah cacat. Ketiga, melakukan pengujian model menggunakan data yang diadopsi dari sebuah perusahaan perkebunan yang mempunyai sistem PIR. Hasil yang diperoleh menunjukkan bahwa model mempunyai kemampuan untuk mengakomodir preferensi pengambil keputusan. Kata kunci: rantai pasok, agroindustri, programa linear, fuzzy, kualitas, preferensi.