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All Journal agriTECH Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Agroindustrial Journal
Ibnu Wahid Fakhrudin Aziz
Fakultas Teknologi Pertanian, Universtas Gadjah Mada, Yogyakarta
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences

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Identifikasi Produk Unggulan Daerah Propinsi Daerah Istimewa Yogyakarta Ibnu Wahid Fakhrudin Aziz
agriTECH Vol 20, No 3 (2000)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1586.025 KB) | DOI: 10.22146/agritech.13683

Abstract

This research was done for identifying domestic superior analysis (product unggulan daerah) through establishing the strategic indicator criterias and weighted strategic indicators. The strategic indicators were developed cord on Directorat General Regional Development (Dirjen Bangda) decision number : 050.05/30/Bangda tanggal 07-01-1999 and fromMinistry of Industrial and Trade (DEPPERINDAG). The strategic indicators and their weighed factors are : Export (25 %), Local contains in product (20 %), labor (20 %), value added (10 %), linkage (10 %), marketing reached (10 %) and environment (5 %). The composition that resulted from data, calculation and justification are 52 potential product, with sequence 5 highest potential product : Volatile oil, meubelair / household set, craft (beside bamboo), bamboo craft, and chips made from cassava and flour. Related the policy of province government with Kecamatan as Center of Economical Growth, so many superior product in there, such as volatile oil in Kec Samigaluh and meubelair in Kec Godean, so this related can be increased in the future there. All of product are superior product, but the sequence of product explanation nowadys, and can be hope to increasing of performance and positif growth for industry. The sequence of potential product can be comprehensive topics for the government to design industrial and commodity policy whether domestic autonomy in the future.
Evaluation of Working Postures at a Garden Maintenance Service to Reduce Musculoskeletal Disorder Risk (A Case Study of PT. Dewijaya Agrigemilang Jakarta) Adisty Savitri; Guntarti Tatik Mulyati; Ibnu Wahid Fakhrudin Aziz
Agroindustrial Journal Vol 1, No 1 (2012)
Publisher : APTA and DTIP FTP UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1328.521 KB) | DOI: 10.22146/aij.v1i1.24990

Abstract

This research is carried out in order to evaluate the working postures of seven workers withdifferent job categories at a garden maintenance service. These seven categories of works aredivided into 23 work elements. The aim of this research is to investigate the presence of work-related pain symptoms, find all risk related to poor working postures, and finally propose sets ofrecommendations for improvement of working methods. Nordic Body Map questionnaire is usedin the study to detect the occurrences of workrelated pain. Meanwhile, risk level assessment forworking postures was carried out by means of Rapid Entire Body Assessment (REBA) method.All the two applied on seven job categories of workers.The results showed that all workers observed experienced with pain symptoms both after and before carry out the work. According to REBA analysis, there are 82.6% medium level risk working elements, 10.9% high level risk, 4.3% very high level risk, and 2.2% low level risk. Recommendation for improvement of working posture was given for work element, namely fertilizer sowing(very high level risk), hedge trimming (high level risk), and pesticide spraying (high level risk).Implementation of these proposed improvements result on diminishing the frequency of occurrence and the level of risk on physical pain.
Analysis of Factors Influencing Interest in Purchasing Porang Rice Using The Extended Theory of Planned Behavior (E-TPB) Annisa, Amalia Widya; Aziz, Ibnu Wahid Fakhrudin; Suharno, Suharno
Agroindustrial Journal Vol 11, No 1 (2024)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v11i1.96250

Abstract

Porang rice, as imitation rice made from porang tubers, can be used as a substitute for white rice because it contains low calories and high fiber. In Indonesia, the marketing of porang rice and related research is still limited.  This research aims to determine the characteristics of respondents and the factors that influence interest in buying porang rice, as well as recommendations for marketing strategies based on the research results. Data were analyzed using descriptive statistics, chi-square test, and SEM-PLS. The sample used was selected using a non-probability sampling method using a purposive sampling technique. The number of respondents obtained was 112 respondents. The research results found that the knowledge and status of respondents who were on a calorie diet were the main characteristics of respondents regarding their interest in buying porang rice. Subjective norms and perceived behavioral control directly influence interest in buying porang rice. Product availability indirectly influences interest in buying porang rice through perceived behavioral control. Recommendations for manufacturers' marketing strategies include providing information about low calories and high fiber on their packaging and promotional media, expanding their partner network with retail stores that are frequently visited by the public, and maximizing sales using e-commerce.
Comparison of Machine Learning Models for Classifying Consumer Sentiment of Coffee Shops on Social Media X Pamungkas, Agung Putra; Mahendra, Adam; Aziz, Ibnu Wahid Fakhrudin
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1905-1912

Abstract

With the intense competition in the coffee shop industry, understanding consumer opinions has become crucial for businesses. This study analyzes consumer sentiment toward the Janji Jiwa and Kopi Kenangan brands using tweet data from platform X. Sentiments were classified into positive, neutral, and negative categories using three algorithms: Logistic Regression (LR), Naïve Bayes (NB), and Support Vector Machine (SVM). The performance of these algorithms, in terms of accuracy and predictive capability, was evaluated using the TF-IDF method for text representation. The evaluation results show that LR achieved the highest accuracy at 79%, followed by SVM (78%) and NB (75%). Additionally, LR recorded consistent and balanced scores across the precision, recall, and F1-score metrics. These findings indicate that LR and SVM are more effective for multiclass sentiment classification in social media contexts
Co-Authors Adisty Savitri Agung Putra Pamungkas Annisa, Amalia Widya Guntarti Tatik Mulyati Mahendra, Adam Suharno Suharno