scholarly journals MANAJEMEN RISIKO KEHILANGAN PANEN EDAMAME (Glycine max (L) Merr.) DI PT. MITRATANI DUA TUJUH, JEMBER

2020 ◽  
Vol 14 (02) ◽  
pp. 165
Author(s):  
Yuli Wibowo ◽  
Winda Amilia ◽  
Dyah Rizki Karismasari
Keyword(s):  
Failure Mode ◽  
Control Strategy ◽  
Analytical Hierarchy Process ◽  
Effect Analysis ◽  
Post Harvest ◽  
Pests And Diseases ◽  
Fishbone Diagram ◽  
Almost All ◽  
Post Harvest Loss ◽  
Hierarchy Process

Post-harvest loss is a risk that can be faced by almost all agricultural commodities, including edamame. Post-harvest loss can be a potential loss for farming. This study aims to identify the risk of edamame post-harvest loss at PT. Mitra Tani Dua Tujuh Jember, as well as formulating its control strategy. This study uses the Failure Mode and Effect Analysis method to analyze the risk of post-harvest loss, integrated with the fishbone diagram to identify the risk causes. To formulate a risk control strategy used the Analytical Hierarchy Process method, which refers to the Pugh method to determine the strategic concept. The results showed that the most critical risks that need serious attention in edamame production are the emergence of pests and diseases. Pests and diseases that attack edamame plants have a high impact severity. Pests and diseases quite often attack edamame plants, and their presence is difficult to detect. The appropriate strategy for controlling pests and diseases in edamame is vegetable pesticides. The use of vegetable pesticides is easier, more efficient, cheaper, more effective, and easier to obtain than chemical pesticides. Keywords: analytical hierarchy process, edamame, failure mode and effect analysis, post-harvest loss, risk management

scholarly journals IDENTIFIKASI RISIKO PADA OKRA MENGGUNAKAN FAILURE MODE AND EFFECT ANALYSIS (FMEA) DI PT. MITRATANI DUA TUJUH DI KABUPATEN JEMBER

2019 ◽  
Vol 13 (01) ◽  
pp. 25
Author(s):  
Ida Bagus Suryaningrat ◽  
Wiwik Febriyanti ◽  
Winda Amilia
Keyword(s):  
Failure Mode ◽  
Critical Value ◽  
Agricultural Product ◽  
Effect Analysis ◽  
Post Harvest ◽  
Age Factor ◽  
Fishbone Diagram ◽  
Main Factors ◽  
Post Harvest Loss ◽  
And Training

Post-harvest is an activity processed from harvesting to becoming a product. Post-harvest handling aims to maintain the quality and minimize the loss of the agricultural product. Post-harvest loss of okra is the reduction of the okra harvest amount from picking up to transporting process. Many factors can cause the post-harvest loss of okra. This study aimed to determine the causal sources of the okra loss. This study used FMEA and fishbone diagram. Fishbone diagram was used to identify the causes of the okra loss in a fishbone skeleton. FMEA was used to give the value on the causes of the okra loss by assessing the severity, occurrence and detection to get the RPN value. The RPN value was used to rank the potential causes of the loss. From the result of the study, it was found that there were 4 main factors causing the okra loss which had the RPN value above the RPN critical value. It were lack of picker accuracy and training or counseling, handling pets and diseases, and age factor of picker. Keywords: fishbone diagram, FMEA, okra, post-harvest loss

scholarly journals PRIORITIZING SUSTAINABILITY IMPACT OF FAILURE MODE AND EFFECT ANALYSIS IN THE PALM OIL MILL USING ANALYTICAL HIERARCHY PROCESS

2020 ◽  
Vol 1529 ◽  
pp. 042035
Author(s):  
W.H.W. Mahmood ◽  
I. Abdullah ◽  
M.H.F., Md Fauadi ◽  
M.N.A. Rahman ◽  
M.F. M. Halim ◽  
...  
Keyword(s):  
Failure Mode ◽  
Palm Oil ◽  
Analytical Hierarchy Process ◽  
Effect Analysis ◽  
Palm Oil Mill ◽  
Hierarchy Process

scholarly journals Analisis Risiko dan Penentuan Strategi Mitigasi Pada Proses Produksi Beras

2020 ◽  
Vol 20 (2) ◽  
pp. 67
Author(s):  
Mansur Budi Yahman ◽  
Dharma Widada ◽  
Anggiarini Profita
Keyword(s):  
Risk Factors ◽  
Production Process ◽  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Mode Effect ◽  
Hierarchy Process ◽  
Very High ◽  
Failure Mode Effect Analysis

ABSTRACT UD Sido Muncul factory is a rice milling business that produces rice for consumed which in its production is inseparable from the risk. These risks cause a disruption in the production process and also cause losses such as the cessation of the production process so that it cannot meet demand. To manage the risks that occur, the Fuzzy Failure Mode Effect Analysis (Fuzzy FMEA) and Analytical Hierarchy Process (AHP) methods are used. The risk identification use the production process flow in general, namely raw material (input), production (process), and finished product (output) factors. From the results of FMEA fuzzy data processing, a total of 25 risks and priority risks from each factor were found, those are; the risk of competing rice buyers (894) very high; the risk of damage to the prime mover 883 very high, and the risk of competing suppliers of rice (748) high-very high. To mitigate the risks priority, 7 alternative strategies were developed. The priority mitigation strategies were chosen for each risk factor; the partnership building strategy (0.731) for input risk factors; routine engine maintenance strategies (0.637) for process risk factors and the product quality maintenance strategy (0.637) for output risk factors.   Keywords: Risk Management, Production Processes Risk, Mitigation Strategy, Fuzzy FMEA, AHP   ABSTRAK Pabrik UD Sido Muncul merupakan usaha penggilingan padi yang memproduksi beras siap konsumsi yang didalam produksinya tidak terlepas dari adanya risiko. Risiko tersebut menyebabkan terganggunya proses produksi dan menyebabkan kerugian seperti terhentinya proses produksi sehingga tidak dapat memenuhi permintaan. Untuk dapat mengelola risiko yang terjadi digunakan metode Fuzzy Failure Mode Effect Analysis (Fuzzy FMEA) dan Analytical Hierarchy Process (AHP). Identifikasi risiko menggunakan alur proses produksi secara umum yaitu faktor bahan baku (input), proses produksi (process), dan produk jadi (output). Dari hasil pengolahan data fuzzy FMEA didapatkan total 25 risiko dan risiko prioritas dari setiap faktor yaitu risiko pesaing pembeli padi (894) very high, risiko kerusakan pada motor penggerak utama 883 very high, dan risiko pesaing supplier beras (748) high-very high. Untuk memitigasi risiko prioritas maka dikembangkan 7 alternatif strategi. Adapun strategi mitigasi prioritas yang terpilih untuk setiap faktor risiko yaitu strategi menjalin kemitraan (0,731) untuk faktor risiko input, strategi pemeliharaan mesin secara rutin (0,637) untuk faktor risiko process dan strategi menjaga kualitas produk (0,637) untuk faktor risiko output.   Kata kunci: Manajemen Risiko, Risiko Proses Produksi, Strategi Mitigasi, Fuzzy FMEA,  AHP

scholarly journals STRATEGI MITIGASI RISIKO PROSES PENGEMASAN MENGGUNAKAN METODE FAILURE MODES AND EFFECTS ANALYSIS (FMEA) DAN ANALYTICAL HIERARCHY PROCESS (AHP) (STUDI KASUS DI UD HARUM MANIS KOTA WISATA BATU)

2019 ◽  
Author(s):  
Abdel Rafi' Mufrodi
Keyword(s):  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Failure Modes ◽  
Effect Analysis ◽  
Hierarchy Process

Keripik apel merupakan suatu produk agroindustri sebagai upaya agar apel segar dapat bertahan lama dengan memertahankan nilai gizi serta meningkatkan nilai jual/tambah. Penelitian ini bertujuan menganalisis risiko proses pengemasan, mengidentifikasi faktor-faktor yang menyebabkan terjadinya risiko, dan usulan strategi mitigasi pada proses pengemasan keripik apel. Metode Failure Mode and Effect Analysis (FMEA) sebagai alat identifikasi dan penilaian terhadap risiko proses pengemasan dan Analytical Hierarchy Process (AHP) sebagai alat dalam pembobotan alternatif strategi mitigasi risiko secara hirarki. Hasil penelitian menunjukkan nilai prioritas risiko tertinggi masing-masing variabel yaitu kemasan tidak tersegel rapat 209,8 dan kinerja operator berbeda-beda 111,6. Strategi mitigasi untuk mengurangi risiko proses pengemasan keripik apel yaitu tenaga kerja, dan pada masing-masing alternatif strategi mitigasi risiko training pekerja 0,47, menjalin kemitraan 0,32, dan peningkatan akses informasi 0,12.

scholarly journals Ranking port state control detention remarks: professional Judgement and spatial overview

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Efe Akyurek ◽  
Pelin Bolat
Keyword(s):  
Analytical Hierarchy Process ◽  
Professional Judgment ◽  
State Control ◽  
The Public ◽  
Marine Industry ◽  
Almost All ◽  
Safety Systems ◽  
Regulation Compliance ◽  
Hierarchy Process ◽  
Port State Control

Abstract Introduction The merchant marine fleet is under inspection by several parties to ensure maritime regulation compliance. International Maritime Organization mainly regulates the industry, and the most effective defender is indeed Port StateControl run by the regional memorandum of understandings. Objective This article aims to analyze all detention remarks of Paris Memoranda of Understanding (MOU) from 2013 to 2019 for EU15 countries (except Luxemburg and Austria) to guide marine industry on detainable Port State Control remarks and country risk profile. Methods The data of the detained vessels taken from the public website of Paris MOU and each report considered as a professional judgment that causes detention. Analytical Hierarchy Process Approach has been utilized to indicate the ranking of basic maritime regulations from the perspective of the Port State Control, and Geographic Information System (GIS) helps us to demonstrate the regional dispersion amongst EU15. Results Through an approach based on Analytical Hierarchy Process and demonstrating the results on GIS has been shown that almost all the country’s top priorities for regulation are Safety of Life at Sea (SOLAS) and Fire Safety Systems (FSS). Moreover, a comparative demonstration of the detention percentage of each regulation to AHP results demonstrates a better understanding of EU15 countries' detention profile. Conclusion The results of the study can assist Port State Officers, ship crew, ship owners, and managers in presenting the facts of their inspection and able to improve themselves. The spatial analysis is also expected to guide ship owners and managers to focus their vessel’s deficiencies on preventing sub-standardization. Policymakers also utilize these reports to evaluate their inspection practices.

A Systematic Measurement of CSP Based on Fuzzy Analytical Hierarchy Process

2012 ◽  
Vol 195-196 ◽  
pp. 847-852
Author(s):  
Shou Ming Chen ◽  
Jia Si Fan
Keyword(s):  
Analytical Hierarchy Process ◽  
Corporate Social Performance ◽  
Social Performance ◽  
Preliminary Investigation ◽  
Social Awareness ◽  
Fuzzy Analytical Hierarchy Process ◽  
Academic Literature ◽  
Almost All ◽  
Corporate Social ◽  
Hierarchy Process

With increasing social awareness on the issue of corporate social performance (CSP), the measurement of CSP has received considerable attention in both academic literature and managerial practice. Though earlier literature provides several methods for measuring corporate social activities, almost all of them have some limitations. In this paper, we propose a methodology for the development of a systematic measure of CSP based on fuzzy analytical hierarchy process (FAHP). In addition, a preliminary investigation is presented to explain how the approach can help in evaluating CSP in practice.

scholarly journals The Exploitation of Technology in an Islamic Funeral Arrangement

2021 ◽  
Vol 58 (1) ◽  
pp. 5431-5435
Author(s):  
Syarilla Iryani A. Saany Et al.
Keyword(s):  
User Experience ◽  
Analytical Hierarchy Process ◽  
Service Provider ◽  
Almost All ◽  
Hierarchy Process

Technologies are keep evolving and growing where almost all activities and services such as in the area of trading, commerce and education can be completed via online.  Unfortunately, the funeral arrangement and handling service is still operating in the same process as it is done by our elderly before. Here, the proposed application will help user handling the funeral a lot faster and easier. I-JenzCare is a platform where the service provider and the user can match with one’s need on the funeral arrangement service. I-JenzCare is a unique idea because no similar application or system had been developed in related on a Muslim funeral handling yet in Malaysia. This study provides new values to the traditional Islamic funeral arrangement services which has been practiced in the Malay community. I-JenzCare which employs analytical hierarchy process (AHP) technique just requires a medium-end smartphone to keep everything on the best user experience standard. In a nutshell, the system is a handy application for those who needs immediate assistance on funeral handling in Malaysia  

scholarly journals ANALISIS POST-HARVEST LOSS PADA OKRA DENGAN METODE OBJECTIVE MATRIX (OMAX) DI PT MITRATANI DUA TUJUH JEMBER

2020 ◽  
Vol 14 (01) ◽  
pp. 13
Author(s):  
Ida Bagus Suryaningrat ◽  
Ferry Julio Prabowo ◽  
Winda Amilia
Keyword(s):  
Research Result ◽  
Pairwise Comparison ◽  
Performance Level ◽  
Post Harvest ◽  
Fishbone Diagram ◽  
Removal Plot ◽  
Harvesting Process ◽  
Post Harvesting ◽  
Post Harvest Loss ◽  
Comparison Technique

Post-harvest loss is a process of the loss or the broken material from production in the field to the food being ready to be consumed. Losses in agricultural or horticultural produce are a major problem in the post-harvest process. Therefore, it was needed to identify the criteria based on the post-harvesting process to know the performance level of each criterion provided. This study was aimed to know the post-harvest loss source in the occurrence of the post-harvest process of okra. This research used Objective Matrix method (OMAX) to evaluate the performance level of each criterion provided. AHP method was also implemented in this research by using the pairwise comparison technique to measure the weight on OMAX and fishbone diagram and to identify causes factors of the okra loss. The research result showed that the picking and weighing process during post-harvest okra have lower performance level and it was not meet the expected target of the company (PT Mitratani Dua Tujuh). Other result of okra loss level was also still far from the expected target of the company. The improvement recommendations were needed to reduce post-harvest okra loss, i.e. increasing supervision by the manager, making removal plot during okra harvesting, and briefing every morning with the okra picker. Keywords: AHP, fishbone diagram, OMAX, post-harvest loss

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