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IMPACT OF BIODIESEL AGROINDUSTRY ON THE ACHIEVEMENT OF NATIONAL ENERGY SECURITY Alfa Firdaus; Machfud Machfud; Ani Suryani; Noer Azam Achsani
SINERGI Vol 24, No 2 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (524.724 KB) | 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.
ANALISIS POLA KONVERSI LAHAN SAWAH DAN STRUKTUR HUBUNGAN PENYEBAB DAN PENCEGAHANNYA (STUDI KASUS KABUPATEN SUBANG, PROVINSI JAWA BARAT) Paulus Basuki Kuwat Santoso; Widiatmaka Widiatmaka; Supiandi Supiham; Machfud Machfud; I Wayan Rusastra
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 7 No. 2 (2017): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.7.2.184-194

Abstract

The extent of land use and land cover (LULC) of paddy field in Subang Regency has decreased because of the conversion into non-paddy field. The objectives of this research were to review the spatial pattern of LULC change, to analyze the cause and to identify the anticipation strategy of paddy field conversion. The analysis used the Landsat data of 1999, 2004, 2009, and 2014 which were interpreted by supervise technique. The interpretation result was compared with the existing LULC and was examined by Kappa methode. This research focuses on the spatial pattern of LULC change, integrated with the Interpretative Structural Modeling (ISM) to review the cause and the anticipation strategy of the conversion. The results revealed that the paddy field was converted into plantation, built-up area, and dryland agriculture. The ISM result revealed that the conversion causes were: (1) increasing the farmer economic needs, (2) increasing the built-up area, (3) increasing the selling price of land and (4) decreasing the farming motivation. To anticipate the conversion, several priorities are needed, namely (1) rehabilitation of the irrigation infrastructures and regulation of the spatial planning, (2) tighten the conversion permit and maximization of the abandoned land, and (3) giving the incentive and disincentive for the farmers, land consolidation, and establishment of corporate farming.
PRAKIRAAN HARGA AKARWANGI: APLIKASI METODE JARINGAN SYARAF TIRUAN CHANDRA INDRAWANTO; ERIYATNO ERIYATNO; ANAS M. FAUZI; MACHFUD MACHFUD; SUKARDI SUKARDI; NOER SOETRISNO
Jurnal Penelitian Tanaman Industri Vol 13, No 1 (2007): MARET 2007
Publisher : Pusat Penelitian dan Pengembangan Perkebunan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jlittri.v13n1.2007.14-20

Abstract

ABSTRAKPrakiraan harga terna akarwangi dan harga minyak akarwangi telahdilakukan dengan menggunakan metode jaringan syaraf tiruan. Memakaidata harga dari Januari 2000 sampai Agustus 2006 dilakukan prakiraanharga untuk 24 bulan kedepan. Prakiraan terbaik dengan Mse pelatihandan Mse testing yang rendah didapat pada kombinasi fungsi aktivasi layartersembunyi sigmoid biner dan fungsi aktivasi output sigmoid bipolardengan rentang data transformasi (0,1) untuk prakiraan harga ternaakarwangi. Sedangkan untuk prakiraan harga minyak akarwangi didapatpada fungsi aktivasi layar tersembunyi sigmoid bipolar dan fungsi aktivasioutput sigmoid biner dengan rentang data (0,1). Hasil prakiraan hargamenunjukkan harga rata-rata terna akarwangi dan harga rata-rata minyakakarwangi untuk tahun 2007 dan 2008 masih di atas harga titik impasusahatani maupun usaha agroindustri minyak akarwangi.Kata kunci : Akarwangi, Vetiveria zizanioides L., harga, prakiraan,jaringan syaraf tiruan, Jawa BaratABSTRACTVetiver oil prices forecasting with artificial neuralnetwork methodVetiver and vetiver oil prices forecasting with artificial neuralnetwork method has been done. Time series data from January 2000 toAugust 2006 was used to forecast the prices for 24 months ahead. The bestresult for forecasting of vetiver prices was gotten using sigmoid binaryactivation in hidden layer, sigmoid bipolar activation in output layer andtransformation data spread (0,1). The best result for forecasting of vetiveroil prices was gotten using sigmoid bipolar activation in hidden layer,sigmoid binary activation in output layer and transformation data spread(0,1). The result shows that the average forecasting prices of vetiver andvetiver oil in 2007 and 2008 higher than the prices needed for vetiverfarming and vetiver oil agroindustry to reach break event point.Key words: Vetiveria zizanioides L., prices, forecasting, artificial neuralnetwork, West Jav
MODEL PERENCANAAN PRODUKSI PADA RANTAI PASOK CRUDE PALM OIL DENGAN MEMPERTIMBANGKAN PREFERENSI PENGAMBIL KEPUTUSAN Rika Ampuh Hadiguna; Machfud Machfud
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi 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 | Full PDF (172.084 KB) | DOI: 10.9744/jti.10.1.38-49

Abstract

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.
A Literature Review on The Design of Intelligent Supply Chain for Natural Fibre Agroindustry Nunung Nurhasanah; Machfud Machfud; Djumali Mangunwidjaja; Muhammad Romli
International Journal of Supply Chain Management Vol 9, No 2 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (643.311 KB)

Abstract

Natural fibre is an environmentally friendly raw material that has a great potential to develop, and is abundantly available in nature [1]. Currently, the growth of natural fibre processing industries in the world has been increasingly important [2]. Processing of abundant natural fibre in both upstream and downstream productions requires effective and collaborative supply chain management in terms of information sharing. Thus, an intelligent system would be implemented in supply chain management from upstream to downstream. Based on review of 46 scientific papers discussing on types of natural fibre, process, technology, and methods, as well as application areas of natural fibre in downstream industries. According to review on different aspects in 55 scientific papers, there were 5 aspects mapped, i.e. supply chain analytic, value chain, performance, collaboration, big data, and decision support system. A concept of 4.0 industry underlies utilization of opportunities for application of supply chain analytic [3]. Upcoming research opportunities include mediating relationship in supply chain network by utilizing Internet of things (IoT) and Big data (BD), in a collaborative relationship to use information sharing. The most possibly contributing research is the development of collaboration between supply chain and genetic algorithm [4]. Integration between production and inventory planning becomes an approach that utilizes Particle swarm optimization (PSO) by developing production planning [5], and production and inventory planning [6]. There is a research opportunity in the design of intelligent supply chain for natural fibre agroindustry by implementing IoT and BD as a tool in supply chain analytic, collaboration through Collaboration prediction forecasting and replenishment (CPFR) that occurs between stakeholders with the aim of improving agroindustry supply chain performance in production integration material and inventory, and performance measurement by integrating the Value chain operation reference (VCOR) model developed in supply chain analytic.
The Design of Stacking Yards Management of The Early Warning System Model: A case study in Jakarta International Container Terminal, Indonesia Arief Witjaksono; Marimin Marimin; Machfud Machfud; Sri Rahardjo
International Journal of Supply Chain Management Vol 6, No 1 (2017): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

As a part of the Indonesia-National Logistics System, Jakarta International Container Terminal (JITC), facing a long dwell time which impacts to high yard occupancy ratio (YOR). This is happened because of the long necessary documents of clearance processing time, the limited yard provided, and the owners preferring for storing their goods in the terminal for cost reasons, etc. The objectives of this research are to design an early warning system model to avoid YOR above the normal by using adaptive neuro fuzzy inference system (ANFIS); designing the inter-agency institutional collaboration to apply the model by using interpretive Structural Modeling (ISM); and formulating YOR above normal mitigation strategy. The primary data used are collected through the in-depth interviews and the focus group discussions with the multi-discipline experts. The secondary data are collected from JITC daily operations and from other supporting agencies. The proposed model is validated, verified and tested. It shows the promising results. Keywords: dwell time, yard occupancy ratio, institution model, ANFIS, ISM.
Method and Approach Mapping of Fair and Balanced Risk and Value-added Distribution in Supply Chains: A Review and Future Agenda Muhammad Asrol; Marimin Marimin; Machfud Machfud; Mohamad Yani
International Journal of Supply Chain Management Vol 7, No 5 (2018): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

This paper proposes a fair and balanced risk and value-added distribution as a novel approach for collaborative supply chain. The objective of this article is to analyze the existing methods and approaches for risk management, value-adding, risk and revenue sharing to develop a new framework for balancing risk and value-adding in collaborative supply chains. The authors reviewed and synthesized 162 scientific articles which were published between 2001 and 2017 and. The reviewed articles were categorized into supply chain management and performance, risk management, value-added, fair risk and value-added distribution and supply chain negotiation. The potentials identified for future research were the importance of decision-making and sustainability for effectiveness of supply chain risk management. Most previous authors have applied an approach of revenue and risk-- sharing with both decentralized and centralized supply chains to achieve the fair risk and value-added distribution. The dominant methods we found in literature were game theory and complex mathematical formulation. Most literature focused on operation research techniques. We identified a lack of discussion of the intelligent system approach and a potential for future exploration. This paper guide future research and application agenda of fair risk and value-added distribution in supply chain collaboration. We developed a new framework for a fair and balanced risk and value-added distribution model. For a future agenda, we point towards the development of a systematic intelligent system applying soft-computing techniques and knowledge transfer for maintaining sustainable supply chains.Keywords Supply chain collaboration, Fair risk and value-added distribution, Revenue sharing, Risk management, Risk sharing
MODEL PERENCANAAN DAN PENGENDALIAN PRODUKSI DI INDUSTRI PENGOLAHAN BUAH CARICA (CARICA PUBESCENS) Machfud Machfud; Abdurrafi Abdurrafi
Jurnal Teknologi Industri Pertanian Vol. 32 No. 1 (2022): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2022.32.1.50

Abstract

The competition in the carica fruit processing industry is increasing, so that efforts are needed to increase production efficiency through good production planning and control (PPC). CV XYZ is one of the carica fruit processing companies which has PPC problems. PPC activities done intuitively and not systematically causing a decision in PPC is ineffective and production process is inefficient. Those problems can be resolved by developing a PPC model in accordance with CV XYZ’s business process. So, this research objective was to develop a PPC model at CV XYZ. The model consisted of four sub-models which were related to each other. The first sub-model was Sub-model of Demand Forecasting and the second sub-model was Sub-model of Carica Fruit Availability Forecasting. Those two sub-models used the Auto-regressive Integrated Moving Average (ARIMA). The third sub-model was Sub-model of Production and Packaging Planning using Integer Linear Programming (ILP). The fourth sub-model was Sub-model of Carica Fruit Inventory Control using Material Requirement Planning (MRP). PPC model can clarify the PPC system at CV XYZ and produce optimal plans. PPC model improves efficiency of total production cost up to 39.86% and total inventory cost up to 27.56%. Keywords: carica industry, model, optimal, production planning and control
MANAJEMEN PEMELIHARAAN PENCEGAHAN PADA KOMPONEN PERALATAN REBUSAN PREVENTIVE MAINTENANCE MANAGEMENT FOR STEW EQUIPMENT Ina Siti Hasanah; Machfud Machfud; Sukardi Sukardi; Erliza Hambali
Jurnal Ilmiah Ekonomi Bisnis Vol 17, No 3 (2012)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (72.41 KB)

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.
Risk analysis of gold processing in artisanal and small-scale gold mining in Bolaang Mongondow Regency, North Sulawesi, Indonesia Margareth Rosalinda Sapulete; Hefni Effendi; Etty Riani; Machfud Machfud
Journal of Degraded and Mining Lands Management Vol 10, No 2 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.102.4093

Abstract

Gold processing at artisanal and small-scale gold mining (ASGM) in Indonesia is inherently risky due to the high severity and likelihood of accidents causing serious injury. The objectives of this study were to identify hazards, assess risks, and determine risk control measures in the ASGM location at Imandi Village, East Dumoga District, Bolaang Mongondow Regency, North Sulawesi Province. The method used was Hazard Identification Risk Assessment and Risk Control (HIRARC). The determination of work stages and identification of hazards was carried out through observation at 14 ASGM units and interviews with 14 informants consisting of 6 mining workers and 8 ASGM business owners. The risk assessment was carried out by observing and interviewing 8 experts as informants selected from health and environmental scientists, various offices of the Government Bolaang Mongondow Regency, and non-government institutions. The results showed that the stage of gold processing work in ASGM consists of 13 sources of hazards that can pose 16 risks. The obtained risk assessment results showed that 19% were low risk, 31% moderate risk, 25% high risk, and 25% very high risk caused by exposure to mercury through the gold ore burning process with a risk value of 25. The identified risk control measures were PPE (personal protective equipment) 43%, administrative controls 14%, engineering controls 14%, substitution 21%, and elimination 7%. Realistic risk controls that can be applied in ASGM are a combination of administrative controls and PPE.
Co-Authors Abdurrafi Abdurrafi Achmad Fahrudin Afifah Nur Arfiana Agus Maulana Agusfian, M. Ahmad Irfan Nurmahdy Ahmad Mukti Almansur Alfa Firdaus Aminudin Soetara Amzul Rifin Anas Miftah Fauzi Ani Suryani Ani Suryani Arief Daryanto Arief Rakhman Arief Safari Arief Witjaksono Arifin, Hadi S Asnawi Asnawi Asrol, Muhammad Bambang Haryanto Bambang Haryanto Bondansari Bondansari Budi Hadi Narendra BUDI HADI NARENDRA Budi Susetyo Cecep Kusmana Chandra Adiputra Tarigan CHANDRA INDRAWANTO Daniel Bunga Paillin Daniel Djokosetiyanto Depi Susilawati Djumali Mangunwidjaja Dody Alexander Nababan Edi Santosa Efendi, . Elisa Anggraeni Endang Warsiki Endang Warsiki Eriyatno . Erliza Hambali Erliza Noor Ernan Rustiadi Etty Riani Faqih Udin Faqih Udin Gatot Yulianto Hanik Atus Sangadah Hartrisari Hardjomidjojo Hayu Kartika Hayu Kartika Hefni Effendi Henny Fitrinawati Heny K Daryanto Hermanto Siregar I Made Arka Hermawan I Wayan Rusastra I.F Poernomosidhi Poerwo I.F Poernomosidhi Poerwo Iffan Maflahah Illah Sailah Ina Siti Hasanah Indah Yuliasih Janthy T Hidayat JM Munandar, JM Kadarwan Suwardi Kelana, Alang Khursatul Munibah Khursatul Munibah Kirana Rukmayuninda Ririh Lidya Susanti Ligafinza, Audra Lina Karlinasari LINA KARLINASARI Lukman M Baga Luky Adrianto M. Agusfian M. Faiz Syuaib M. Joko Affandi Manggala, Panji Wira Margareth Rosalinda Sapulete Marimin , Marimin Marimin Mas’ud, Zainal Alim Megawati Simanjuntak Miftahul Jannah Moh Nurul Iman Moh. Yani Mohamad Syamsul Ma’arif Muhammad Arif Darmawan Muhammad Asrol Muhammad Panji Islam Fajar Putra Muhammad Romli Muhammad Romli dan Suprihatin Andes Ismayana Nabhani, Irfan Nabhani, Irfan naz'aina, naz'aina Nazli, Rizal Sjarief Sjaiful Nining, Euis NOER SOETRISNO Nunung Nurhasanah Nunung Nurhasanah Nurhayati H.S. Arifin Nurul Taufiqu Rochman Paulus B.K. Santoso Petrus F.T.P. Tampubolon Pusaka Sinulingga Rahmat Fadhil Retno Astuti Rika Ampuh Hadiguna Roedhy Poerwanto Rokhani Hasbullah S Nur, S Safari, Arief Saipullah, Safri Samudra, Ferdianto Budi Santun R.P Sitorus Santun R.P Sitorus SANTUN R.P SITORUS Santun R.P. Sitorus Sigit Priyono Sobir Sobir Soedadi, Suryaningsih Sri Rahardjo Sugiarto Sugiarto Suharjito Suharjito Suharjito Suharjito, Suharjito SUKARDI SUKARDI Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi, Sukardi Supiandi Supiham Surya, Mulyana Tajuddin Bantacut Taryono, Taryono Taufik Djatna Titi Candra Sunarti Tri Maryono Ulfah Choerunnisa Nurul Litasari Umar Mansyur Umi Marfuah Wibowo, Raden Bagus Tri Joko Widiatmaka Widiatmaka Widiatmaka WIDIATMAKA WIDIATMAKA Widiatmaka Widiatmaka Widiatmaka Widiatmaka Wiwin Ambarwulan Wiwin Ambarwulan Yandra Arkeman Yusmiati Yusmiati