Articles

The Formation of Optimal Portfolio of Mutual Shares Funds using Multi-Objective Genetic Algorithm Arkeman, Yandra; Yusuf, Akhmad; Mushthofa, Mushthofa; Fitri Laxmi, Gibtha; Boro Seminar, Kudang
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 11, No 3: September 2013
Publisher : Universitas Ahmad Dahlan

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Investments in financial assets have become a trend in the globalization era, especially the investment in mutual fund shares. Investors who want to invest in stock mutual funds can set up an investment portfolio in order to generate a minimal risk and maximum return. In this study the authors used the Multi-Objective Genetic Algorithm Non-dominated Sorting II (MOGA NSGA-II) technique with the Markowitz portfolio principle to find the best portfolio from several mutual funds. The data used are 10 company stock mutual funds with a period of 12 months, 24 months and 36 months. The genetic algorithm parameters used are crossover probability of 0.65, mutation probability of 0.05, Generation 400 and a population numbering 20 individuals. The study produced a combination of the best portfolios for the period of 24 months with a computing time of 63,289 seconds.
FINANCIAL FEASIBILITY STUDY OF WASTE COOKING OIL UTILIZATION FOR BIODIESEL PRODUCTION USING ANFIS Ahmad, Imam; Hermadi, Irman; Arkeman, Yandra
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

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Consumption of fuel oil is increasing, but it is not accompanied by supply. Transportation sector is spent the most existing fuel. Therefore, it is crucial to look for alternative type of fuel such as biodiesel to overcome the fuel shortage. The purpose of this study is to investigate the feasibility on how the investment of waste cooking oil as the biodiesel material production. This study consists of two phases. First is calculating feasibility fuzzy model with the input price of biodiesel, waste cooking oil prices and interest rates, and as its output are Net Present Value (NPV), Internal Rate of Return (IRR), Net Benefit Cost Ratio (Net B/C) and Payback Period (PBP). Second is predicting the feasibility of using Adaptive Neuro Fuzzy Inference System (ANFIS). The results of the analysis for each type of membership function (mf) were obtained triangular accuracy 77%, accuracy gaussian 53% and trapezoidal accuracy 61%. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7122
DESAIN SISTEM KOMPENSASI GAJI POKOK BERBASIS PERSON VALUE PADA PERUSAHAAN AGROINDUSTRI Denni, Alex; Jamaran, Irawadi; Hermawan, Aji; Arkeman, Yandra
Jurnal Manajemen dan Organisasi Vol. 1 No. 1 (2010): Jurnal Manajemen dan Organisasi
Publisher : IPB University

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The oobjective of this research is to design Base Pay Compensation System that based on Person Value in order to increase internal equity within a company. Person Value determined by short of competencies possessed by a job holder that relevant to the job competency model. Through this research, each and every managerial jobs under general manager completed by a competency model defined by a panel of expert. The expert panel also determines relative value of each competency based on its importance role in supporting the company achieving the goals. Person Value of job holders was calculated based on their available competency indicated through a multi-rater approach. Finally base pay of every job holders was calculated by redistributing current company budget proportionally based on their person value. The result of this research validated through a face validity method conducted by senior management team as key stake holders of the company.
ANALISIS ANDAL HASIL UJI PROFISIENSI UNTUK PRODUK AGROINDUSTRI Budiantari, Fajarina; Arkeman, Yandra; Kantasubrata, Julia
JURNAL STANDARDISASI Vol 14, No 3 (2012): Vol. 14(3) 2012
Publisher : Badan Standardisasi Nasional

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Sampel yang sama dapat mempunyai data hasil analisis yang berbeda apabila dianalisis pada beberapa laboratorium yang berbeda. Perbedaan hasil pengujian yang cukup besar dapat menimbulkan keraguan dalam mengambil suatu keputusan atau kesimpulan. Untuk mengetahui unjuk kerja laboratorium dan meningkatkan kinerja laboratorium dapat dilakukan uji profisiensi. Evaluasi hasil uji profisiensi yang berbeda dapat menyebabkan interpretasi hasil uji profisiensi yang berbeda pula. Hal ini berarti berpengaruh pula bagi penilaian kinerja laboratorium peserta. Penelitian ini bertujuan menganalisis beberapa metode evaluasi hasil uji banding (Metode 1: seleksi data Grubbs 1 kali kemudian terhadap data yang tersisa dilakukan perhitungan Robust Z-Score; Metode 2: seleksi data Grubbs berulang kali sampai tidak ada lagi data yg keluar, kemudian terhadap data yang tersisa dilakukan perhitungan Robust Z-Score; Metode 3: langsung Robust Z-Score). Selain itu dalam makalah ini akan dinalisis juga jenis metode pengujian yang digunakan oleh peserta uji profisiensi. Data yang digunakan adalah data hasil uji profisiensi yang dikoordinasikan oleh Komite Akreditasi Nasional (KAN) tahun 2011 untuk komoditi kakao bubuk dan saus cabai. Hasil penelitian menunjukkan metode evaluasi hasil uji 2 adalah yang paling sensitif (memberikan jumlah laboratorium outlier paling banyak) apabila dibandingkan dengan metode evaluasi hasil uji 1 dan 3. Hasil kinerja laboratorium peserta yang menggunakan metode pengujian Standar Nasional Indonesia (SNI) cukup memuaskan.
Identifikasi Jenis Kayu Menggunakan Support Vector Machine Berbasis Data Citra Gunawan, AA Gede Rai; Nurdiati, Sri; Arkeman, Yandra
Jurnal Ilmu Komputer dan Agri-Informatika Vol 3, No 1 (2014)
Publisher : Departemen Ilmu Komputer IPB

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Identifikasi jenis kayu di Indonesia pada umumnya dilakukan secara manual, dengan cara memperhatikan pori kayu pada daerah penampang kayu menggunakan kaca pembesar atau mikroskop dengan pembesaran minimal 10 kali. Teknik komputerisasi belum banyak dilakukan terutama karena kurangnya penelitian di bidang ini dan sulitnya mendapatkan database kayu. Penelitian ini bertujuan mengembangkan sebuah sistem untuk mengklasifikasikan 4 jenis kayu yang diperdagangkan di Indonesia dengan metode support vector machine (SVM) berbasis citra. Teknik ekstraksi ciri yang digunakan adalah two-dimensional principal component analysis (2D-PCA). Sistem ini dapat mengidentifikasi kayu dalam waktu singkat sehingga mempercepat proses identifikasi jenis kayu. Hasil klasifikasi dari 120 kali percobaan dengan menggunakan 96 data citra dengan 4 jenis kayu menunjukkan akurasi terbaik sebesar 95.83% pada kernel Polinomial. Kata kunci: Citra mikroskopis, Identifikasi jenis kayu, SVM
IDENTIFIKASI DAN EVALUASI RISIKO MENGGUNAKAN FUZZY FMEA PADA RANTAI PASOK AGROINDUSTRI UDANG Nasution, Syarifuddin; Arkeman, Yandra; Soewardi, Kadarwan; Djatna, Taufik
Jurnal Riset Industri Vol 8, No 2 (2014): Teknologi Pengendalian Pencemaran Lingkungan untuk Industri Hijau
Publisher : Badan Penelitian dan Pengembangan Industri

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Agroindustri udang dihadapkan pada berbagai masalah yang kompleks dan rentan terhadap gangguan.Untuk dapat mengenali risiko masing-masing pelaku rantai pasok dan memilih tindakan berdasarkan prioritas diperlukan suatu model identifikasi dan evaluasi risiko.Tujuan penelitian ini adalah menghasilkan modelidentifikasidan evaluasirisikorantai pasok udang. Identifikasi risiko akan dilakukan dengan pendekatan what-if analysis dan evaluasi risiko yang dikembangkan menggunakan model fuzzy FMEA, dengan input data dari beberapa ahli dan pelaku rantai pasok udang. Hasil penelitian menunjukkan bahwa pelaku petani mempunyai risiko yang paling tinggi dengan probabilitas sebesar 0,45. jika dibandingkan risiko pada tingkat pedagang pengumpul (0,29) dan risiko agroindustri (0,18). Risiko dominan pada tingkat petani disebabkan oleh kegagalan panen akibat serangan hama dan penyakit. Pada tingkat pengumpul risiko dominan adalah keberadaan dan loyalitas pemasok.Sedangkan pada tingkat prosesor risiko dominan adalah keragaman mutu pasokan dan kontaminasi antibiotik pada komoditi udang. Secara keseluruhan model ini dapat digunakan untuk mengidentifikasi faktor-faktorrisiko dan variabel pada tiap tingkatan rantai pasok serta memilih tindakan prioritas sehingga akan diperolehrekomendasi berupa tindakan yang tepat untukmengantisipasinya. Kata kunci: identifikasi dan evaluasi risiko, rantai pasok udang, fuzzy FMEA
Strategi Peningkatan Rantai Nilai Agroindustri Daging Sapi Shabrina, Nur; Syarief, Rizal; Arkeman, Yandra
UB Online Journal -- Development Version -- OJS 2.4.7.1 Vol 13, No 4 (2015)
Publisher : UB Online Journal -- Development Version -- OJS 2.4.7.1

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Abstract: The increasing demand of beef commodity in Indonesia must be supported by agood supply chain management to achieve self-sufficiency and food security. This study aimsto analyze consumers’ expectations for commodity beef in Depok, identifying and mappingthe beef agro-industry value chain, and analyze strategic alternatives in order to enhancethe value chain agroindustry beef based on the characteristics of the livestock industry inDepok. The method used in this research is descriptive method with a case study approach.Based on analysis, 11 attributes was obtained to affect the quality of the beef ie. ratio of fat,flavor, color, marbling, juiceness, scents, halalness, freshness, price, texture, and availabilityin the market. The result of gap analysis showed that the actual conditions perceived byconsumers related quality of beef has not fulfilled consumers’ expectations. In result of qualityhouse, strong relationships contained the halalness attributes. Moderate relationshipsare contained in the freshness and cutting process. Weak relationship found in all facilitiesin the technical characteristics. In the value chain analysis, identified two types of flowactivity. The results of the stakeholder analysis shows that the attributes of consumers andentrepreneurs have the same powerful and highest position compared with other stakeholders.Keywords: agroindustry, beef, Depok city, strategy, value chain
STRATEGI PENINGKATAN PRODUKSI AGROINDUSTRI PEMBENIHAN LELE DI BOGOR Kunandi, Kunandi; Arkeman, Yandra; Maulana, Agus
Jurnal Manajemen & Agribisnis Vol. 10 No. 1 (2013): Vol. 10 No. 1, Maret 2013
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

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ABSTRACTThe study aimed to 1) identify internal and external factors that influence the strategy to increase the production of  catfish hatchery agro-industry,  2) identify and determine the factors, actors, goals and the alternative strategy to increase the production capacity of catfish hatchery agro-industry, 3) determine strategy priority in increasing the production capacity and operational sustainability of catfish hatchery agro-industry.  Methods of analytical hierarchy process and focus group discussions were used in the data analysis. The result showed that capital and main actors are the main factors that determine the production increase of catfish hatchery agro industry in Bogor. The main purpose of the increase in hatchery production of catfish in Bogor agro-industry is to create more job opportunities and the main strategy for catfish hatchery production is the human resources training.Keywords: AHP, agroindustry catfish, catfish hatchery, focus  group discussions/FGDABSTRAKTujuan dari  penelitian ini adalah 1) mengidentifikasi  faktor-faktor internal dan  eksternal yang memengaruhi strategi peningkatan kapasitas produksi agroindustri pembenihan lele di Bogor, 2) mengidentifikasi dan menetapkan elemen-elemen, seperti  faktor/kriteria, aktor, tujuan, dan alternatif strategi yang memengaruhi dalam peningkatan kapasitas produksi usaha pembenihan lele, dan 3) merumuskan prioritas strategi bisnis dalam peningkatan kapasitas produksi agroindustri pembenihan lele dan kelangsungan operasionalnya. Metode analisis data menggunakan analytical hierarchy process dan focus group discussions. Hasil penelitian menunjukkan bahwa faktor yang menentukan peningkatan produksi agroindustri pembenihan lele di Bogor adalah modal dan pelaku utama dalam pembenihan peternak lele. Tujuan utama dari peningkatan pembenihan agroindustri produksi lele di Bogor adalah menciptakan lapangan kerja. Sementara itu, strategi utama untuk memproduksi pembenihan ikan lele yaitu dengan pelatihan terhadap sumber daya manusia.Kata kunci: AHP, agroindustri lele, pembenihan lele, focus  group discussions/FGD
FINANCIAL AND NON-FINANCIAL FACTORS ARE IMPORTANT INDICATORS TO EVALUATE PERFORMANCE OF CORPORATION.  THE MAIN OBJECTIVE OF THIS STUDY IS TO BUILD A MODEL FOR IMPROVING PERFORMANCE OF ESTATE AND PLANT BY USING BALANCE SCORECARD.  THE STUDY USES BALANCE SCORECARD, AND FUZZY ANALYTICAL HIERARCHY PROCESS TO MODEL THE CRITERIA OF PERFORMANCE MEASUREMENT FOR BOTH ESTATE AND PLANT.  RESULTS GENERATED FROM THE MODEL OF ESTATE PERFORMANCE CRITERIA MEASUREMENTS ARE SEED, FERTILIZING, COST MANAGEMENT, Farida, Aida; Jamaran, Irawadi; Darwis, A. Aziz; Syamsu, Khaswar; Arkeman, Yandra
Forum Pasca Sarjana Vol. 34 No. 3 (2011): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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Financial and non-financial factors are important indicators to evaluate performance of corporation.  The main objective of this study is to build a model for improving performance of estate and plant by using balance scorecard.  The study uses balance scorecard, and fuzzy analytical hierarchy process to model the criteria of performance measurement for both estate and plant.  Results generated from the model of estate performance criteria measurements are seed, fertilizing, cost management, harvest, plant maintenance, production, and employee development.  Results generated from the model of plant performance criteria measurements are production rate, cost management, losses, plant utilization, CPO quality, employee development, and environmental friendly production process.  Estate and plant scoring board model are used to measure the performance of estate and plant based on set targets.  Results generated from estate scoring board model are low performance in cost management, production, and employed development.  Results generated from plant scoring board model are low performance in cost management, losses, and environmental friendly production process.  Performance improvement model for estate and plant are conducted by using expert management.  The result generated from this study is a software of decision support system by using expert management, and it is called In-KK v1.00.   Keywords: oil palm agroindustry, key performance indicator, scoring board
Studi Peningkatan Kinerja Manajemen Rantai Pasok Sayuran Dataran Tinggi di Jawa Barat Setiawan S, Alim; Marimin, Marimin; Arkeman, Yandra; Udin, Faqih
Agritech Vol 31, No 1 (2011)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

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A performance measurement model is a necessary tool for highland vegetables supply chain performance improve- ment in West Java. The performance measurement is conducted to support an objective planning, a performance evaluation, and determination of the future steps in strategical, tactical and operational levels. This study used system approach which is supported by Exponential Comparison Method (ECM) for the selection of superior products;  the combination of the SCOR Model with the Fuzzy AHP to design performance metrics; the Data Envelopment Analy- sis (DEA) for performance measurement; and the SWOT analysis to formulate the strategy for increasing the supply chain performance. The result of the ECM showed three commodities with the highest value i.e. Papprica, Lettuce Head and Broccoli. The combined SCOR - Fuzzy AHP analysis produced the performance metric values as follows: delivery performance (0.111), compliance to quality standards (0.299), order fulfillment performance (0.182), order leadtime (0.068), order fulfillment cycle time (0.080), supply chain flexibility (0.052), the SCM cost (0.086), cash-to- cash cycle time (0.080), and the daily stock (0.048). The supply chain performance measurement for Lettuce with the DEA approach indicated that the farmers had not been 100% efficient. While at the company level, the supply chain performance measurement of Lettuce crop and fresh cut showed the efficiency performance of 100 %.  Eventually, the SWOT strategy analysis on the Lettuce lead to the following recommendations to improve the performance:1) use hydrophonic cultivation technology and reduce excessive pesticides, 2) optimize the planting and harvesting schedules considering the climate; 3)  increase the responsiveness and the flexibility in meeting consumer orders, and 4) imple- ment the required standard quality assurance and management systems to ensure the consistency of the product quality and acceptability by the consumers.ABSTRAKModel pengukuran kinerja sangat diperlukan sebagai alat untuk peningkatan kinerja rantai pasok sayuran dataran tinggi di Jawa Barat. Pengukuran kinerja dapat mendukung perencanaan tujuan, evaluasi kinerja, perumusan kebijakan strategik, taktis dan operasional rantai pasok. Studi ini dilaksanakan dengan pendekatan sistem yang didukung dengan Teknik/Metode Perbandingan Eksponensial (MPE) untuk menyeleksi komoditi prioritas, kombinasi teknik SCOR dan Fuzzy AHP digunakan untuk merancang metrik pengukuran kinerja, Data Envelopment Analysis (DEA) untuk pen- gukuran kinerja individu anggota rantai pasok dan analisis SWOT untuk merumuskan strategi peningkatan kinerja ran- tai pasok. Hasil MPE menunjukkan bahwa 3 (tiga) komoditas yang diunggulkan adalah Paprika, Lettuce dan Brokoli. Kombinasi SCOR - Fuzzy AHP menghasilkan bobot metrik kinerja rantai pasok: kinerja pengiriman (0,111), Kesesua- ian dengan standar kualitas (0,299), kinerja pemenuhan pesanan (0,182), waktu tunggu pesanan (0.068), pemenuhan siklus pesanan (0,080), fleksibilitas rantai pasok (0,052), biaya manajemen rantai pasok (0,086), siklus pembayaran tunai (0,080), dan stok harian (0.048). Pengukuran kinerja rantai pasok komoditi lettuce dengan teknik DEA menun- jukkan bahwa kinerja efisiensi petani belum mencapai 100 %. Kinerja efisiensi perusahaan pada kasus komoditi lettuce dan sayuran segar potong telah mencapai 100%. Analisa SWOT merekomendasikan strategi untuk peningkatan kinerja rantai pasok lettuce sebagai berikut: 1) penggunaan teknologi hidroponik dan pengurangan penggunaan pestisida, 2) optimasi penjadwalan penanaman dan pemanenan dengan memperhatikan iklim, 3)  peningkatan fleksibilitas dalam pemenuhan pesanan, dan 4) penerapan standar manajemen penjaminan kualitas untuk menjamin konsistensi kualitas produk dan penerimaan produk oleh konsumen.
Co-Authors A. Aziz Darwis AA Gede Rai Gunawan Adisalamun Adisalamun Agus Maulana Aida Farida Aji Hermawan Akhmad Yusuf Alim Setiawan S ANDIYONO, ANDIYONO Ani Suryani Arisusanty, Dian Junita Budhi Hascaryo Iskandar Casnan Casnan, Casnan Choiriyati, Nur Dadan Umar Daihani, Dadan Umar Denni, Alex Dewi Auditiya Marizka, Dewi Auditiya Dewi Sondari Djumali Mangunwidjaja Dorina Hetharia Ekaterina Setyawati, Ekaterina Eriyatno Eriyatno Erliza Noor Etty Riani Fairuzzahira, Fadhillah Fajarina Budiantari Faqih Udin Gibtha Fitri Laxmi Gunadi, Ahmad Dading Gunawan Gunawan Hermanto, Bambang Mulyana Herry Purnomo Imam Ahmad Irawadi Jamaran Irman Hermadi Iveline Anne Marie, Iveline Anne Iwan A Soenandi, Iwan A Joko Affandi Julfi Restu Amelia, Julfi Restu Julia Kantasubrata Junardi Junardi Kadarwan Soewardi Kapelle I.B.D, Kapelle Khaswar Syamsu Kirbrandoko Kirbrandoko Kudang Boro Seminar Kunandi Kunandi Liesbetini Hartoto M Syamsul Maarif, M Syamsul M. Syamsul Maarif Marimin Marimin Ma’arif, M. Syamsul Misgiyarta Misgiyarta, Misgiyarta Muhammad Alkaff Mushthofa Mushthofa Nazli, Rizal Syarief Siaiful Nora Azmi Nur Shabrina, Nur Oktavia, Nova Petir Papilo Rahardjo, Teguh Rizal Syarief Sarinah Sarinah Soeboer, Deni Achmad Sri Hartoyo Sri Nurdiati Sri Rahardjo Subowo, Eko Sudirlan, Iwan Sukardi Sukardi Suripto Suripto Syamsul Ma’arif Syarifuddin Nasution, Syarifuddin Taufik Djatna Titi Candra S, Titi Titi Candra S., Titi TITI CANDRA SUNARTI Trisna Trisna, Trisna Utami, Teja Primawati Vonny Indah Sari Wachjudiningsih, Aulijati Wilda Sukmawati Winarto, Catur Winarto, Catur Winnie Septiani Wisnu Ananta Kusuma Zaman, Fasika Khaerul Zulfiandri Zulfiandri