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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
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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Sistem Pendukung Keputusan Rantai Pasok Koperasi Pengolahan Susu X Di Jawa Barat Rina Fitriana; Taufik Djatna
JURNAL TEKNIK INDUSTRI Vol. 1 No. 2 (2011): Volume 1 No 2 Juli 2011
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.472 KB) | DOI: 10.25105/jti.v1i2.7004

Abstract

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
A MULTI-CRITERIA DECISION-MAKING APPROACH USING AHP FOR PUDAK PACKAGING SUPPLIER SELECTION Windi Habsari; Taufik Djatna; Faqih Udin; Yandra Arkeman
Jurnal Teknologi Industri Pertanian Vol. 32 No. 2 (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.2022.32.2.197

Abstract

Pemilihan pemasok merupakan salah satu hal krusial dalam kegiatan rantai pasok. Pentingnya pemilihan pemasok sangat berpengaruh pada kualitas dan ketersediaan suatu produk. Pemasok kemasan pudak dalam memenuhi kebutuhan kemasan pudak belum optimal. Tujuan penelitian ini adalah menentukan pemilihan pemasok yang berbasis Multi-Criteria Decision Making (MCDM). MCDM yang digunakan pada penelitian ini adalah metode Analytical Hierarchy Process (AHP). Peran AHP pada penelitian ini yaitu menentukan pemasok terbaik yang ada di Industri Pudak Gresik. Penentuan pemasok terbaik berdasarkan pada kinerja tiap pemasok. Ada 4 pemasok yang bekerja sama dengan industri pudak. Penelitian ini menggunakan kriteria berdasarkan hasil wawancara dengan pemangku kepentingan di industry pudak Gresik. Kriteria terdiri dari harga, kualitas, pengiriman, dan pelayanan. Penyelesaian menggunakan metode AHP terhadap 4 pemasok telah mendapatkan nilai ranking pada masing-masing pemasok. Pemasok A merupakan prioritas pemasok terbaik dengan nilai tertinggi yaitu 0,379. Analisis sesnsitivitas menghasilkan nilai peringkat dari pemasok konsisten walaupun dilakukan perubahan bobot pada kriteria secara upward change maupun downward change. Penelitian ini mampu menentukan supplier terbaik dan meningkatkan kinerja pemasok di masa yang akan datang. Kata kunci : analisis sensitivitas, analytical hierarchy process (AHP), Multi-Criteria Decision Making, pemilihan pemasok
Mapping and predicting research trends in international journal publications using graph and topic modeling Asep Herman Suyanto; Taufik Djatna; Sony Hartono Wijaya
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1201-1213

Abstract

Researchers and journal managers need summary information, such as research maps and trends. Topic and words-based document content analysis alternative to science mapping and trend prediction based on bibliographic analysis. The data are a collection of journal articles/proceeding documents and metadata for 2011-2020 published by the International Journal of Electrical and Computer Engineering (IJECE). A combination of several techniques and methods is used, such as text mining, topic modeling, cosine similarity, network analysis, graph theory, and seasonal autoregressive integrated moving average (SARIMA). This research has produced research topics, mapping, trend prediction, and visualization according to its objectives. The results of the topic coherence test obtained the optimal number of topics, as many as 6. The results of the topics were evaluated by experts to be given labels and areas of focus. On the research map for each topic, information is found on trending research, the most popular research, research that is central to the research group, and critical research on the development of the group path. It also identifies the type of breakthrough, incremental, and research gap. Predictions of research trends obtained are based on topics and words that describe the development of research. Visualization is descriptive and predictive.
AN IT2FS MODEL FOR SHARIA CREDIT SCORING: ANALYSIS & DESIGN Galih Kurniawan Sidik; Taufik Djatna; Agus Buono
Jurnal Sistem Informasi Vol. 9 No. 2 (2013): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.186 KB) | DOI: 10.21609/jsi.v9i2.352

Abstract

Credit scoring system is a classic problem which is still interesting to study. There are many studies on credit scoring. But, most of them only discuss feasibility analysis. In fact, credit scoring system should accommodate all processes from feasibility analysis until the end of contract. This study is aimed to analyze and design scoring of default status and fines computation processes in Islamic bank. BPMN 2.0 was used to model their processes. Beside that, this study proposed new mechanisms and algorithms using Interval Type-2 Fuzzy Sets for maintaining Sharia rules and fairness guarantee. The results showed that the new methods offer more fair and comply to sharia than existing methods.
SKYLINE QUERY BASED ON USER PREFERENCES IN CELLULAR ENVIRONMENTS Ruhul Amin; Taufik Djatna; Annisa Annisa; Imas Sukaesih Sitanggang
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 1 (2023): JITK Issue August 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i1.4192

Abstract

The recommendation system is an important tool for providing personalized suggestions to users about products or services. However, previous research on individual recommendation systems using skyline queries has not considered the dynamic personal preferences of users. Therefore, this study aims to develop an individual recommendation model based on the current individual preferences and user location in a mobile environment. We propose an RFM (Recency, Frequency, Monetary) score-based algorithm to predict the current individual preferences of users. This research utilizes the skyline query method to recommend local cuisine that aligns with the individual preferences of users. The attributes used in selecting suitable local cuisine include individual preferences, price, and distance between the user and the local cuisine seller. The proposed algorithm has been implemented in the JALITA mobile-based Indonesian local cuisine recommendation system. The results effectively recommend local cuisine that matches the dynamic individual preferences and location of users. Based on the implementation results, individual recommendations are provided to mobile users anytime and anywhere they are located. In this study, three skyline objects are generated: soto betawi (C5), Mie Aceh Daging Goreng (C4), and Gado-gado betawi (C3), which are recommended local cuisine based on the current individual preferences (U1) and user location (L1). The implementation results are exemplified for one user located at (U1L1), providing recommendations for soto betawi (C5) with an individual preference score of 0.96, Mie Aceh Daging Goreng (C4) with an individual preference score of 0.93, and Gado-gado betawi (C3) with an individual preference score of 0.98. Thus, this research contributes to the field of individual recommendation systems by considering the dynamic user location and preferences.
Metadata Modeling of LoRa Based Payload Information for Precision Agriculture Tea Plantation Eddy Prasetyo Nugroho; Taufik Djatna; Imas Sukaesih Sitanggang; Irman Hermadi; Agus Mulyana; Sri Wahjuni; Heru Sukoco
Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i2.43432

Abstract

Purpose: The purpose of this study is to model the metadata of Payload Information on Agriculture Drones which consists of the results of images computational and the Onboard system of the Drone.Methods: The stages of the research were carried out with the process of forming Payload information metadata from the Agriculture Drone with sensors/actuators based on the architecture and computing with Image Processing or Computer Vision on the camera captures. This study describes the metadata modeling process formed from the Internet of Things system with Drone and GCS communication based on the Long Range or Long-Range Wide Area Network protocols with Payload information consisting of drone data and image computation results. Result: The result obtained is the formation of Payload information from LoRa-based Drones with a frame size of 142 bytes. Novelty: Payload information is formed into a metadata model indicator with the formation scheme being part of the tea plantation dataset. The metadata model will be test expected to obtain field data on Drones and GCS communication in the LoRaWAN Network in tea plantations which are rural environments. 
Measuring Indonesian Cocoa Agroindustry Competitiveness from a Global Value Chain Perspective: Pengukuran Daya Saing Agroindustri Kakao Indonesia dari Perspektif Rantai Nilai Global Dianawati; Nastiti S.I.; Andes Ismayana; Taufik Djatna; Indah Yuliasih
Buletin Ilmiah Litbang Perdagangan Vol. 17 No. 2 (2023): BILP
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/bilp.2023.978

Abstract

Indonesian cocoa products in international trade face challenges in quality, food safety, and environmental requirements. Developing the cocoa agro-industry is essential to meet those global demands. The research aims to analyze the competitiveness of business in Indonesian cocoa products using the Global Value Chain (GVC), Revealed Comparative Advantage (RCA), and Trade Specialization Index (TSI) methodology. Research data uses the time series of Indonesian cocoa product export trade from 2001-2020. From a GVC perspective, the diversity of cocoa product exporters and the same competition drive a significant increase in competitiveness. Market access opportunities and regulatory support will encourage domestic industrial growth by utilizing efficient supply chains and making Indonesia part of the global production network. Cocoa products require economic value, from dry beans to ready-to-consume products. They are improving farmer’s bargaining position towards agro-industry institutions and better stakeholder coordination. The results of RCA show the comparative advantage of Indonesia cocoa exporters for HS code products 1801, 1802, 1803, 1804, and 1805 in the international market. The stages of identification of Indonesian cocoa products are the maturity stage for cocoa beans, the commercial maturity stage for cocoa paste and butter products, and the growth stage for cocoa product powder.
Digital community readiness assessment for cocoa agroindustry in Lampung Dianawati Dianawati; Nastiti S Indrasti; Taufik Djatna; Andes Ismayana; Indah Yuliasih
AGROINTEK Vol 18, No 1 (2024)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v18i1.19105

Abstract

The Cocoa agroindustry requires future changes based on information technology that provide significant value benefits for organizations/companies (digital transformation). The experience during the pandemic required us to transform digitally. Cocoa agroindustry stakeholders such as cocoa farmers, farmer facilitators, and regulators have not been responsive to this, and the industry does not know what to do. The urgency of assessing the readiness for technology adoption in the cocoa agroindustry in Indonesia is urgently needed so that all stakeholders can feel the implementation of 4.0-based technology. What are the benefits of digital transformation to increase productivity, value creation, and social welfare in the industry?  This study aims to investigate and identify profiling of technology-based adoption, develop quantitative and qualitative models of TRI 2.0 and validate the assessment results. In this work, we take the case of agroindustry in Lampung province by involving cocoa agroindustry stakeholders. The technology readiness index 2.0 methodology provides a comprehensive framework with the result that the value of the Optimism variable is 1.05, the Innovativeness variable is 1.01, the Discomfort variable is 0.6, and the Insecurity variable is 0.75. The results of calculating the TRI 3.5 value, including the Intermediate Technology Readiness Index (Medium). The TRI value can be interpreted as Lampung cocoa agroindustry stakeholders in this case have have information and communications technology (ICT) potential and are not resistant to using new technology. Hopefully this will become a milestone for establishing a cocoa agroindustry community within the framework
Early fault detection system for sugar mill machines through various machine learning approach Thabed Tholib Baladraf; Taufik Djatna; Agriananta Fahmi Hidayat; Akhmad Fatikhudin; Helynda Mulya Arga Retha; Zulfikar Dabby Anwar
Jurnal Sistem dan Manajemen Industri Vol. 9 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v9i2.10530

Abstract

The milling machine is a crucial aspect of the sugarcane agroindustry production system; a disturbed milling machine will cause a decrease in production efficiency, sap quality degradation, and excessive energy consumption. An early fault anomaly detection system through machine learning is a solution to overcome the problems in sugarcane milling machines. The purpose of this research is to propose a system architecture design for early fault anomaly detection in sugarcane agroindustry milling machines and to evaluate the performance of various machine learning models on historical sensor data, identifying the most promising approach. This study proposes a novel anomaly detection framework for sugarcane milling machines to advance smart monitoring in agro-industrial systems. Using an empirical dataset of 7,673 sensor instances (temperature, vibration, pressure, and humidity), and applying several machine learning algorithms (logistic regression, decision tree, and random forest), the framework integrates multi-sensor data to improve fault prediction and reduce downtime. The results showed that the random forest had the best accuracy, at 98.13%, followed by the decision tree, at 97.87%, and logistic regression, at 89.70%. Feature contribution analysis reveals that the vibration signal is the most dominant contributing factor among other features. The results show that machine learning is a potential approach for predicting faults in sugarcane milling machines, which can help the sugarcane agriculture industry make informed decisions in the event of disturbances in these machines.
Production System Design bio-oil of Microalgae with POME as Raw Material For Media Cultivation Rahmat Wahyudi Nasution; Taufik djatna
SEAS (Sustainable Environment Agricultural Science) Vol. 2 No. 1 (2018)
Publisher : Warmadewa University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/seas.2.1.540.61-66

Abstract

Palm Oil Mill Effluent (POME) produced by the Palm Oil Mill as a waste is now being used as a medium for cultivating microalgae for bio-oil raw materials. However, the bio-oil production process from POME raw materials is still limited to lab scale. Therefore, in this project, the analysis of bio-oil production system from microalgae for the development of existing production system. In this paper, the optimization model of bio-oil production from microalgae biomass is simulated into Digital Business Ecosystem (DBE) concept then analyzed to related stakeholders in system and interaction of each process or between fellow stakeholders. And the results are defined in the form of Information Communication and Technology (ICT). The method used for this DBE concept is Unified Modeling Language (UML) which is use case diagram and Business Process Model and Notations (BPMN) diagram. And to predict an increase in yield by using ARM (Association Rule Mining). The results of this study are shown in the use case diagram and BPMN consisting of five communities, namely raw materials community, cultivation community, harvesting community, extraction community and quality control (QC). The process of production and storage of the resulting data is illustrated in the BPMN diagram. In this paper the association rule is used to explore the relationship pattern between Cell Density attributes, Lipid Content and Light Intensity. The integration of association rule with a priori paradigm has succeeded in finding 34 rules with 11 valid rules top rank which have lift > 1 of relation between attributes
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 Ma’ruf Pambudi Nurwantara 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