Peningkatan Produktivitas Usaha Budidaya Ayam Kampung UKM Putra Budi Kecamatan Mojolaban Kabupaten Sukoharjo

<p><em><strong>Increasing the Productivity of Kampong Chicken in the Putra Budi SME’s Mojolaban District Sukoharjo Regency</strong></em>. Putra Budi Small and Medium-Sized Enterprises (SMEs) located in Bekonang Village, Mojolaban Subdistrict, Sukoharjo Regency, is a business unit owned by Mr Apri with traditional kampong chicken breeding with a capacity of 50-100 chickens/period. Mr Apri. Putra Budi SMEs is engaged in traditional village chicken farming with a capacity of 50-100 chickens/period. Mr Apri started this business 5 years ago, but the maintenance method is still simple and has not been carried out intensively so that the productivity is low. Chicken sales are carried out on a wholesale basis, causing lower prices. Providing feed that does not meet the standard needs of livestock. The main problem faced by Putra Budi SME’s lies in the management of native chicken maintenance which includes management of feed, cages, sanitation, selection of broodstock, and hatching which are carried out traditionally (extensively). This service aims to increase the business of native chicken cultivation by implementing intensive cultivation, diversifying the marketing pattern of native chickens, and being able to increase partner income. Some of the solutions offered are to provide broader knowledge about the management of domestic chicken rearing which is still extensive/traditional towards programmed intensive management. The result of this service activity is that SME’s can apply feed management by selecting feed raw materials around the location and the practice of compiling quality native chicken rations, broiler-type chicken maintenance systems that are free from dangerous diseases/viruses, increasing productivity, efficiency, and speed of return on investment, and can establish cooperation with restaurants or SMEs processing native chicken. Based on the economic analysis carried out, the maintenance of the Putra Budi village chickens with 200 chickens experienced a 5% depletion and earned a profit of IDR 1,400,000 per breeding period.</p>

RESEARCHES ON THE TESTING IN LABORATORY CONDITIONS OF AN ECOLOGICAL CLIMATE SYSTEM USED FOR SELFPROPELED AGRICULTURAL MACHINES

Nowadays, cooling the air by means of climate maintenance systems is achieved, in most cases, using installations based on freon or other substances that cause pollution. Taking into account the fact that the EEC standards and regulations increase the emphasis on ensuring the quality, labour safety, health and environment, finding a solution for air conditioners that do not use a substance that causes pollution, has become a necessity. As a great part of farming work is done in the warmest periods of the year, temperatures being frequently over 35oC, it is necessary to equip the agricultural machines with air conditioners in order to achieve a thermic comfort in the cab. For this purpose, an air conditioner based on the process of water evaporation was designed, made and tested. The installation is able to cool the air that enters into the cab through the evaporation process that takes place in the special filling, with an efficiency of the mixing process more than 90%. Air passing sections are calculated so that they can assure both the quantity needed for climate maintenance in the cab (about 3.5 - 4 m3/min) and the relative speed between air and water in the filling, in order for the evaporation process to be conducted in the best conditions that were theoretical established.

Review of the State-of-the-art Sewer Monitoring and Maintenance Systems Pune Municipal Corporation - A Case Study

There is an increasing trend of using automated and robotic systems for the tasks that are hazardous or inconvenient and dirty for humans. Sewers maintenance and cleaning is such a task where robots are already being used for inspection of underground pipes for blockages and damage. This paper reviews the existing robotic systems and various platforms and algorithms along with their capabilities and limitations being discussed. A typical mid-size city in a developing country, Pune, India is selected in order to understand the concerns and identify the requirements for developing robotic systems for the same. It is found that major concern of sewers are blockages but there is not enough information on both real-time detection and removal of it with robotic systems. On-board processing with computer vision algorithms has not been efficiently utilized in terms of performance and determinations for real-world implementations of sewer robotic systems. The review highlights the available methodologies that can be utilized in developing sewer inspection and cleaning robotic systems.

Anomaly detection in multi-class time series

For modern operation and maintenance systems, they are usually required to monitor multiple types and large quantities of machine’s key performance indicators (KPIs) at the same time with limited resources. In this paper, to tackle these problems, we propose a highly compatible time series anomaly detection model based on K-means clustering algorithm with a new Wavelet Feature Distance (WFD). Our work is inspired by some ideas from image processing and signal processing domain. Our model detects abnormalities in the time series datasets which are first clustered by K-means to boost the accuracy. Our experiments show significant accuracy improvements compared with traditional algorithms, and excellent compatibilities and operating efficiencies compared with algorithms based on deep learning.

Efektivitas Kepatuhan Protokol Kesehatan Covid-19 Pada Pekerja Sektor Informal Di Kota Makassar (Studi Kasus di Terminal Mallengkeri)

ABSTRACT Facing the adaptation of new habits (IMR) towards a productive and safe society against COVID-19, the Minister of Health issued a Minister of Health Decree number HK.01.07 / MENKES / 382/2020 concerning Health Protocols. The target in this study is the availability of a Covid-19 Health Protocol Compliance Effectiveness Study for Informal sector workers at Mallengkeri Terminal. This research is a quantitative method with cross sectional design. The research was conducted at Mallengkeri Terminal. The population in this study were all Mallengkeri Terminal drivers with a total sample of 97 respondents using accidental sampling technique. The results showed that there were 88 respondents (90.7%) who were good and 9 respondents (9.3%) who were not good enough in the effectiveness of compliance with the COVID-19 health protocol. The statistical test results showed that the achievement of goals and results (p = 0.004), target group satisfaction (p = 0.357), maintenance systems (p = 0.236), action (p = 0.068), facilities (p = 0.288), and motivation ( p = 0.744). Based on the research results, it can be concluded that only the achievement of goals and outcomes variables have a significant relationship with the effectiveness of compliance with the COVID-19 health protocol, while the other variables have no relationship

Identifikasi Pemeliharaan Vertical Garden di Fairmont Sanur Beach Bali

Maintenance Identification on Vertical Garden at Fairmont Sanur Beach Bali. Fairmont Sanur Beach Bali has a vertical garden with an area of 10 m x 4 m. The Hotel is able to maintain the plant condition. The purpose of this research is to identify the vertical garden maintenance system at the Fairmont Sanur Beach Bali. The research method uses survey and literature study methods. Data collection techniques are observation, interview, and literature study. Data analysis methods with descriptive methods and scoring tables. The results about the identification of vertical garden maintenance systems consist of watering, water disposal system, trimming, fertilizing, replanting plants, media replacement, sanitation, pest and disease control. Watering in 2 hours creating high humidity in the media. The volume of water released is not fully experienced evapotranspiration. The planting media do not experience drought during the day, so the plants keep fresh. In the calculation of plant suitability values, the corresponding values are Hemigraphis alternata. Plants with adequate value are Epipremnum aureum, Asparagus densiflorus, Ananas bracteatus tricolor, Schefflera Arboricola, and Portulaca grandiflora. In the maintenance process requires a fertigation system to facilitate fertilization. The use of automated systems such as timmers will simplify the maintenance and a more scheduled.

ANALISIS RELIABILITY CENTERED MAINTENANCE (RCM) PADA ALAT BONGKAR MUAT RUBBER TYRE GANTRY CRANE (RTGC) DI PT XXX

The loading and Unloading operational activities in port often run into obstacle, because happened malfunction occurrence of the equipment used. Failure to operate the equipment has resulted in downtime decreased of company productivity. Therefore, a system is needed maintenance of planning in order to produce the equipment that can be operated optimally. This research was choosen the company PT. XXX which is a company that enganged in the field maintenance of equipments port operational (quayside container crane, rubber tyre gantry crane, gantry luffing crane, and others) the place where the equipment maintenance system, especially the rubber tyre gantry crane (RTGC) which has been done are still a breakdown maintenance and corrective maintenance. The aim of this research is to analyze by method of reliability centered maintenance (RCM) to able to determined the optimal maintenance and it can be predict steps to overcome the damage that might will happen in the next period based on existing data. From data processing and analysis was obtained that the components most frequently damaged on the equipment of RTGC, cause of failure, selection decision and recommendations for maintenance systems are based on Reliability Centered Maintenance (RCM).

An Experiment to Design an Operation and Maintenance System Integrating Apriori Association Rules for a Telecom Platform

The operation and maintenance management of telecom platforms puts more emphasis on operation and alarm monitoring and less on business flow, and it is difficult to have a seamless connection between operation and maintenance and sales. To improve the cooperative efficiency and the informatization level of telecom platform operation and maintenance, a new operation and maintenance system integrating Apriori association rules for a telecom platform is proposed. In this paper, the Apriori algorithm is firstly used to analyse the fault correlation of the operation and maintenance system of the telecommunications platform to get the alarm message. Then, the fault risk of the operation and maintenance platform is evaluated intelligently by the system-business alarm causality model. Finally, based on the fixed end and the mobile end, the dynamic presentation of the system running state and alarm monitoring, device query and positioning, and online and offline inspection are implemented and designed, respectively. Experimental results show that the proposed operation and maintenance systems integrating Apriori association rules for the telecom platform innovate the cooperative mode between the operations and sales team, and the average time reduces to 3.9 minutes from 4.7 minutes and the risk forecasting accuracy increases from 8% to 26%. The assumed method can significantly improve the operational efficiency and intelligent level of the telecom platform’s system and business.