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All Journal Jurnal Teknologi Industri Pertanian E-jurnal Agro-Industri Indonesia Jurnal Manajemen dan Agribisnis Jurnal Ilmu Komputer dan Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Agrointek Indonesian Journal of Business and Entrepreneurship (IJBE) Sinergi Journal of Regional and City Planning Journal of ICT Research and Applications agriTECH Scientific Journal of Informatics Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Sistem dan Manajemen Industri Faktor Exacta JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknologi Agro-Industri International Journal of Supply Chain Management Kilat Indonesian Journal of Electrical Engineering and Computer Science Airlangga International Journal of Islamic Economics and Finance SEAS (Sustainable Environment Agricultural Science) JURNAL TEKNIK INDUSTRI Jurnal Sistem Informasi Buletin Ilmiah Litbang Perdagangan

Taufik Djatna

Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Institut Pertanian Bogor, Kampus Institut Pertanian Bogor Darmaga Bogor 16680

Author-ID : 2471735

Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences Transportation Other

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Penerapan Fuzzy TOPSIS dalam Penentuan Lokasi Kawasan Pengembangan Rantai Pasok Bioenergi Kelapa Sawit Petir Papilo; Taufik Djatna; Yandra Arkeman; Marimin Marimin
agriTECH Vol 38, No 1 (2018)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

This study aims to obtain the best location of the target area of agro-industrial development of bioenergy in the supply chain. Through a systems approach, using fuzzy TOPSIS, an analysis of various key criteria was conducted, including availability of raw materials, land conditions and prices, the ease of access to transportation, the distance to the city center, the availability of labor at the target location, availability of infrastructure – such as water and electricity, the use of the location and orientation of multiplier effect. Based on the results of the analysis that has been done, from the five areas being targeted for locations of bioenergy agro-industry development in the province of Riau, including Industrial Area Kuala Enok; Palm Oil Region in Rokan Hulu; Pelintung Dumai Industrial Area; Palm Oil Region in Bagan Batu Rokan Hilir and Teknopolitan Region in Pelalawan, the one that has been voted the best location is Pelintung Dumai Industrial Area. ABSTRAKPenelitian ini bertujuan untuk memperoleh lokasi terbaik yang menjadi target kawasan pengembangan agroindustri bioenergi dalam satu mata rantai pasokan. Melalui pendekatan sistem, dengan menggunakan metode fuzzy TOPSIS, dilakukan analisis terhadap berbagai kriteria penting diantaranya ketersediaan bahan baku, kondisi lahan dan harga, kemudahan akses transportasi, jarak lokasi dengan pusat kota, ketersediaan tenaga kerja pada lokasi sasaran, ketersediaan infrastruktur seperti air dan listrik, orientasi pemanfaatan lokasi serta multiflier effect. Berdasarakan hasil analisis yang telah dilakukan, dari lima target kawasan yang menjadi sasaran lokasi pengembangan agroindustri bioenergi di Provinsi Riau, diantaranya Kawasan Industri Kuala Enok, Kawasan Perkebunan Kelapa Sawit di Rokan Hulu, Kawasan Industri Pelintung Dumai, Kawasan Perkebunan Kelapa Sawit di Bagan Batu Rokan Hilir dan Kawasan Teknopolitan di Kabupaten Pelalawan, telah terpilih lokasi terbaik, yakni di Kawasan Industri Pelintung Dumai

Mitigasi Rantai Pasok Rumput Laut dengan Pendekatan House of Risk dan Fuzzy AHP di Kabupaten Maluku Tenggara Wellem Anselmus Teniwut; Kamilius Deleles Betaubun; Marimin Marimin; Taufik Djatna
agriTECH Vol 40, No 3 (2020)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Seaweed is among fishery commodities with great potential economy prospect. Southeast Maluku District is one of the main producers in Eastern region of Indonesia. Despite the high production since 2012, the number of farmers and the product has declined due to inadequate supply chain coordination and information dissemination among members. Therefore, this study aimed to mitigate the assymetric information in the region using the house of risk (HOR) to identify the risks to be addressed, and also provide response on the source of supply chain risk. Furthermore, Analytic hierarchy process (AHP) with fuzzy approach was used to determine the major factor, and then choose the best alternative to mitigate asymmetric information in the supply chain. Results showed there were five factors that contributed 70% risks. The results also indicated that dependence on local distributor was a factor that had to be prioritized and addressed. In addition, to mitigate the operational risks, findings showed it is necessary to establish seaweed farmers forum, which is the best approach based on the cost and effectiveness. This study also stated that local ,government of Southeast Maluku District was the main actor that helps to overcome the risks and asymmetric information problem. Therefore, the best alternative was to form an information center for seaweed cultivation, which will provide the knowledge of prices and potential buyer outside the region.

Optimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach Erni Krisnaningsih; Taufik Djatna; Yandra Arkeman; Marimin Marimin; Erliza Hambali
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.009

This study proposes a Fuzzy Goal Programming approach to optimize the problem of aggregate planning of production processes in companies that produce charcoal husks. The application proposed to the company describes the process of Rice Husk Charcoal Production taking into account the uncertain factors involved in the aggregate planning process of Rice Husk charcoal production. Decision-making related to the level of material needs in each type of rice husk charcoal product is considered based on planning for the next 12 months by including weighting value in membership function, determination of membership function of each function objectives with equivalent Crip of fuzzy goal programming. Fuzzification is based on three main objectives with three membership levels for each purpose of Goal Programming. This research provides the results of the proposed adaptive model applied to companies that produce charcoal husks.

Individual Expert Selection and Ranking of Scientific Articles Using Document Length Fadly Akbar Saputra; Taufik Djatna; Laksana Tri Handoko
Journal of ICT Research and Applications Vol. 13 No. 1 (2019)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.1.3

Individual expert selection and ranking is a challenging research topic that has received a lot attention in recent years because of its importance related to referencing experts in particular domains and research fund allocation and management. In this work, scientific articles were used as the most common source for ranking expertise in particular domains. Previous studies only considered title and abstract content using language modeling. This study used the whole content of scientific documents obtained from Aminer citation data. The modified weighted language model (MWLM) is proposed that combines document length and number of citations as prior document probability to improve precision. Also, the author's dominance in a single document is computed using the Learning-to-Rank (L2R) method. The evaluation results using p@n, MAP, MRR, r-prec, and bpref showed a precision enhancement. MWLM improved the weighted language model (WLM) by p@n (4%), MAP (22.5%), and bpref (1.7%). MWLM also improved the precision of a model that used author dominance by MAP (4.3%), r-prec (8.2%), and bpref (2.1%).

A FAIRNESS MODEL BASED ON INTERVAL TYPE-2 FUZZY SET FOR ISLAMIC FINANCING SCORING IN INDONESIA Galih Kurniawan Sidik; Taufik Djatna
Airlangga International Journal of Islamic Economics and Finance Vol. 1 No. 1 (2018): JANUARY-JUNE 2018
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/aijief.v1i1.10431

Conventional credit scoring model could lead to serious and unfair problems because in certain case it would incriminate one party in financing. Islamic financing scoring model complies with Sharia rules and ensures fairness among parties. Currently, there are no certain rules on Islamic financing scoring model which lead to subjective judgments. In the subjective judgments, words could mean different things to different people. Thus, this paper proposed and deployed models for scoring of default risk level by using Interval Type-2 Fuzzy Set model to support the subjective judgments in maintaining Sharia rules. Installment amount and the sum of delay period has used as variables for that scoring. Interval Type-2 Fuzzy Set model was proposed to support the subjective judgments in maintaining Sharia rules. Beginning delay period also used as a weight to the risk scoring results. Besides that, this paper also proposed the method for computing real loss value. It has used as a basis for fines computation according to default risk level, bad debt expense, and installment weighted average.

Uncertainty Models in Reverse Supply Chain: A Review Paduloh Paduloh; Taufik Djatna; Sukardi Sukardi; Muslich Muslich
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 (722.253 KB)

Reverse logistic has become an important topic for the organization due to growing environmental concern, government regulation, economic value, and sustainable competitiveness. Uncertainty is one of the key factors in the reverse supply chain that must be controlled; thus, the company could optimize the reverse supply chain function. This paper discusses progress in reverse logistic research. A total of 72 published articles were selected, analyzed, categorized and the research gaps were found among them. The study began by analyzed previous research articles in reverse logistic. In this stage, we also collected and reviewed journals discussing about the reverse supply chain. Meanwhile, the result of this stage shows that uncertainty factor has not been reviewed in detail. The most common theme as the background research in reverse logistic is environmental and economic aspect. Uncertainty in Close Loop Supply Chain is the most widely used approach, followed by the usage on reverse logistics, reverse supply chain and reverse Model. The most used approach and method on uncertainty are Mixed Integer Linear Programing, mixed integer nonlinear Programing, Robust Fuzzy Stochastic Programming, and Improved kriging-assisted robust optimization method. Customer demand, total cost, product returns are the most widely researched aspects. This paper may be useful for academicians, researchers and practitioners in learning on reverse logistic and reverse supply chain; therefore, close loop supply chain can be guidance for upcoming researches. Research opportunity based on this research combines total cost, quality return product, truck capacity, delivery route, remanufacturing capacity, and facility location got optimum function in uncertainty. The research method and approach for MINLP, IK-MRO and RSFP provide many opportunities for research. For theme and area in reverse logistic, close loop supply chain is the theme that provides the most research opportunities.

Method and Mapping of Trust and Trustworthiness in Agroindustry Logistic and Supply Chain: a Systematic Review Rindra Yusianto; Sambas Sundana; Marimin Marimin; Taufik Djatna
International Journal of Supply Chain Management Vol 9, No 1 (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 (904.507 KB)

This paper proposes trust and trustworthiness as a novel approach in agroindustry logistic and supply chain. The objective of this article is to analyze the existing methods and approaches for trust and trustworthiness to develop a new framework in agroindustry logistics and the supply chain from shipment planning, routing and scheduling, shipping execution and inventory control processes. The author reviewed and synthesized 84 scientific articles which were published between 2004 and 2019. The reviewed articles were categorized into contract, competencies, goodwill, and performance trust and trustworthiness. The potentials identified for future research were the importance role of management in maintaining trust and trustworthiness in the supply chain system. Most previous authors have applied an approach of interaction and impact on collaborative relationship and performance in supply chains. The dominant methods we found in literature were contractual and impact on relationship quality. Most of the literature focuses on managing trust relationships and there is a lack of discussion about the relationship of trust in shipment planning, routing and scheduling, shipping execution and inventory control. The contribution of this paper was mapping the method in relationship of trust, trustworthiness and develop new framework. This paper developed and suggested a new framework for maintaining trust and trustworthiness in the agroindustry logistic and supply chain model.

ANALISIS SISTEM PRODUKSI GULA SEMUT FORTIFIKASI VITAMIN A DENGAN TIGA TINGKATAN KUALITAS GRADE Nina Hairiyah; Taufik Djatna
Jurnal Teknologi Agro-Industri Vol 1 No 1 (2014)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Politeknik Negeri Tanah Laut

Sistem produksi gula semut fortifikasi vitamin A dengan tiga tingkatan kualitas grade adalah sebuah sistem yang menjelaskan tentang proses produksi gula semut dengan bahan baku utama yaitu air nira dengan fortifikasi (pengkayaan kandungan) ekstrak vitamin A dan menghasilkan klasifikasi produk menjadi tiga tingkatan kualitas grade. Penulisan paper ini bertujuan untuk melakukan analisis dan klasifikasi tiga tingkatan kualitas grade pada produk akhir yang dihasilkan berdasarkan kandungan dan mengidentifikasi setiap tahapan proses produksi gula semut untuk mendapatkan keuntungan optimal. Hasil Correctly Classified Instances untuk pengklasifikasin grade A, B dan C menggunakan naïve bayes adalah sebesar 85% yang artinya meode ini layak untuk digunakan dalam aplikasi pengklasifikasian grade pada industri gula semut fortifikasi vitamin A.

Double Exponential Smoothing Berimputasi LOCF Dan Linear Interpolation Dalam Akurasi Peramalan Harga Harian Emas Riki Ruli A. Siregar; Taufik Djatna; Sergius Sarmose Manggara Putra Sarmose Manggara Putra; Irwansyah Saputra
KILAT Vol 10 No 1 (2021): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v10i2.1200

Gold is another kind of investment that often experiences price change, mostly every day. Because of its price fluctuation, forecasting is needed to help the investor in investment decision making. But during this Coronavirus Disease 2019 (Covid-19), the gold price is fluctuating extremely than the past 4 years so a better forecasting method approached and analysis technique is needed due to this case. Double Exponential Smoothing method is chosen to forecast this daily gold price. On the other hand, there are so many missing values spreading around the main dataset so the imputation method is needed too, Last Observation Carried Forward (LOCF) and linear interpolation are chosen for imputing the missing values. In this research, the main dataset was split into 3 (three) datasets, which are Precovid-19 (before Covid-19, used only for visualizing the actual fluctuation condition during this pandemic), Incovid-19 (during Covid-19 based on the date where the first Covid-19 case occurred in Indonesia), and Combination (a binding dataset of Pracovid-19 and Incovid-19). Although Incovid-19’s MAPE value is higher than Pracovid-19 and Combination’s MAPE values, in evaluation session showed that Incovid-19’s MAPE of forecast results has the lowest value rather than Combination’s MAPE of forecast results, so the conclusion of this research is Incovid-19 dataset with LOCF imputation is the most adaptive with the actual condition and it is used to forecast the daily gold price until the last period of the main dataset then.

Kansei Engineering Modelling for Packaging Design Chocolate Bar Muhammad Amirul Ghiffari; Taufik Djatna; Indah Yuliasih
SEAS (Sustainable Environment Agricultural Science) Vol. 2 No. 1 (2018)
Publisher : Warmadewa University Press

Indonesia became the third largest cocoa producer in the world. However, the consumption of domestic chocolate is still very low. In order to increase the consumption of chocolate in Indonesia, we must to improve all aspects related to chocolate. Manage the right business processes modelling can improve overall Small and Medium Enterprises (SME) performance. Business Process Modeling Notation (BPMN) is an efficient method aligning an organization with the wants and needs of industry.. Nowadays, chocolate bar production is packaged by simple SME with a visual display that isn’t varied. To support customer preferences and build an identity that is embed in the minds of consumer, needs a comprehensive design oriented consumer perspective. Kansei Engineering selected because it’s able to connect gap between industry and consumer. This study aim to improve consumer preferences in chocolate bar product. Hypotheses were carried out on various chocolate bar indicate that changes of visual appearance will increase the acceptance of consumer. The methodology in this study consisted of four steps: Need analysis and system modelling, identification element design process, find kansei words and packaging design formulation. Data were collected by Term Frequency - Inverse Document Frequency (TF - IDF) and Quantification Theory Type (QTT) 1. The result of this research show that the formulation of new packaging design with eye catching strategy, make the color is red, the image is Milk, the typography is custom and the shape is attractive.

Co-Authors Afifah Nur Arfiana Agus Buono Agus Mulyana Aisah Rini Susanti Akhmad Fatikhudin Andri Agung Riyadi Annisa Annisa Asep Herman Suyanto Basrum Basrum Betaubun, Kamilius D Dadan Kusdiana Delfitriani Dianawati Dianawati Dianawati Dinar Ajeng Kristiyanti Ditdit N Utama E Gumbira Said Eddy Prasetyo Nugroho Erliza Hambali Erliza Noor Erna Rusliana Muhamad Saleh Erni Krisnaningsih Fadly Akbar Saputra Faqih Udin Galih Kurniawan Sidik Galih Kurniawan Sidik Hasbi Rahma Yani Helynda Mulya Arga Retha Hendra Utama Heru Sukoco Hidayat, Agriananta Fahmi Ifri Handi Lubis Imas Sukaesih Sitanggang Indah Yuliasih Irfan Wahyudin Irman Hermadi Irwansyah Saputra Irwansyah Saputra Irzaman, Irzaman Kamilius Deleles Betaubun Khusun, Helda Laksana Tri Handoko Lira Ruhwinaningsih M Amirul Ghiffari M. Syamsul Maarif Machfud Machfud Marimin , Ma’ruf Pambudi Nurwantara Muhammad Romli dan Suprihatin Andes Ismayana Muslich Muslich Nastiti S Indrasti Nastiti S.I. Nastiti Siswi Indrasti Neny Rosmawarni Nina Hairiyah Paduloh Paduloh Petir Papilo Puspa Eosina Rahmat Fadhil Rahmat Wahyudi Nasution Ramdani, Ahmad Luky Riki Ruli A. Siregar Riki Ruli A. Siregar, Riki Ruli A. Rina Fitriana Rina Fitriana Ruhul Amin Sambas Sundana Sapta Rahardja Sarinah Sarinah Sergius Sarmose Manggara Putra Sarmose Manggara Putra Silmi Azmi Sitanggang, Imas S. Siti Yuliyanti, Siti Sony Hartono Wijaya Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Suprihatin Suprihatin Tanti Novianti Teniwut, Wellem Anselmus Thabed Tholib Baladraf Ummi Safrianti Vonny Setiaries Johan Windi Habsari Winnie Septiani Wisnu Ananta Kusuma Yandra Arkeman Yandra Arkeman Yani Nurhadryani Yogi Purna Rahardjo Yusianto Rindra Zulfikar Dabby Anwar

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