Article Per Year (5 Year)
p-Index From 2021 - 2026
2.737
P-Index
This Author published in this journals
All Journal International Journal of Informatics and Communication Technology (IJ-ICT) 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 Ilmiah Teknik (JUIT) 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

Published : 53 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 53 Documents
Search

 2   3   4   5   6 
A Supply Chain Risk Management for Dadih Product by Pricing Optimization D. Delfitriani; Taufik Djatna; Ma’ruf Pambudi Nurwantara
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.2.1.552.41-52

Abstract

Risk mitigation by using risk sharing approach is a method to minimize risk on supply chain management. In this case, the pricing optimization is needed to maximize and to balance the profit of each stakeholder on its sphere. This paper focused on Dadih product supply chain risk modelling which has three objectives: (1) to identify, (2) to evaluate the risk of each sphere along Dadih product supply chain, and (3) to build a supply chain risk management model for Dadih product by pricing optimization. The model is started by risk identification which showed that there were 52 risks along the whole chain. Then these risks were evaluated by using risk index measurement which showed that the dairy farmer sphere has the highest risk proportion on the whole chain. Finally, the optimum prices were obtained by using risk sharing model which is generated from the result of risk evaluation and the result of stakeholder efficiency measurement by using DEA method. We also found that the prices fluctuation among the DMU became smoothly after the optimization which occurred as a result of risk distribution along the chain.
Integrated Biorefinery Pathways for Organic Waste Valorisation: A Systematic Literature Review of Biological, Thermochemical, and Anaerobic Digestion Technologies Stephanus Benedictus Bera Liwun; Nastiti Siswi Indrasti; Suprihatin Suprihatin; Taufik Djatna
Jurnal Ilmiah Teknik Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v5i2.2866

Abstract

The increasing generation of organic and lignocellulosic waste has created significant environmental challenges, requiring sustainable and efficient waste management strategies. Biorefinery systems have emerged as a key approach within the circular bioeconomy framework, enabling the conversion of complex waste streams into value-added products such as biofuels, platform chemicals, animal feed, and fertilisers. Objective: This study aims to systematically review recent developments in biorefinery-based waste valorisation technologies and evaluate their environmental and technological performance within a circular bioeconomy perspective. Methods: This research employs a qualitative systematic literature review (SLR) approach. Data were collected from peer-reviewed journal articles indexed in Scopus, ScienceDirect, Web of Science, and Google Scholar. The analysis was conducted using narrative synthesis and comparative evaluation of biological, thermochemical, and hybrid biorefinery technologies published between 2015 and 2026. Results: The results indicate that Black Soldier Fly (BSF) bioconversion can reduce organic waste mass by approximately 50% while producing high-value protein and lipid products. Hydrothermal Carbonisation (HTC) effectively converts wet biomass into hydrochar at 180–280 °C. Decentralised anaerobic digestion systems show superior environmental performance compared to incineration, particularly in reducing Global Warming Potential (GWP) and Fossil Fuel Depletion Potential (FFP). Lignin valorisation demonstrates strong potential for producing aromatic chemicals, although it remains constrained by feedstock variability and processing challenges. Implications: The findings suggest that integrated biorefinery systems supported by Life Cycle Assessment (LCA) offer a more sustainable pathway for organic waste management compared to single-process technologies. However, scalability, feedstock heterogeneity, and process optimisation remain key challenges for industrial implementation. Originality: The originality of this study lies in its integrated comparative analysis of biological, thermochemical, and hybrid biorefinery technologies within a circular bioeconomy framework, combining environmental performance assessment and technological evaluation to provide a comprehensive perspective for sustainable waste management development.
Exploring multi-answer visual question answering with object detection: a systematic review Nidaul Hasanati; Taufik Djatna; Imas Sukaesih Sitanggang; Arif Imam Suroso
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1097-1114

Abstract

Visual question answering (VQA) is a challenging research area that enables machines to answer natural language questions based on visual content by jointly understanding images and text. Conventional VQA systems typically produce a single answer for each image–question pair. However, many real world visual questions are ambiguous or complex, allowing multiple valid answers to exist. This systematic literature review (SLR) focuses on multi answer VQA systems and the use of object detection, following the PRISMA 2020 guidelines. We analyzed 58 peer-reviewed journal articles retrieved from the Scopus database published between 2020 and 2025. Ten of these studies clearly stated that generating multiple answers was their main goal. Forty-eight others indirectly supported answer variability by using object-based or multi-instance reasoning. Through this review, we examine the current methodologies for supporting multi-answer generation, including model architecture, datasets, and evaluation metrics. Most multi answer generation approaches utilize attention mechanisms, graph neural networks, and transformer-based models. Additionally, we propose a taxonomy of multi-answer VQA organized along four dimensions. Limitations are identified in datasets and evaluation metrics (i.e., answer ambiguity/subjectivity). Future research should focus on improving model interpretability and designing an evaluation framework that incorporates subjective and context-sensitive responses.
Co-Authors Afifah Nur Arfiana Agus Buono Agus Mulyana Aisah Rini Susanti Akhmad Fatikhudin Andri Agung Riyadi Annisa Annisa Arif Imam Suroso 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 Nidaul Hasanati 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 Stephanus Benedictus Bera Liwun Sukardi Sukardi Sukardi Sukardi Sukardi Sukardi Suprihatin Suprihatin 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