Nur Fajar
Program Studi Teknik Industri Fakultas Teknik Universitas Diponegoro

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ANALISIS DAN USULAN PERBAIKAN SISTEM MANAJEMEN KESELAMATAN DAN KESEHATAN KERJA (SMK3) PADA PT. FUMIRA SEMARANG Fajar, Nur; Puspitasari, Diana
Industrial Engineering Online Journal Volume 3, Nomor 3, Tahun 2014
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.62 KB)

Abstract

PT. FUMIRA merupakan sebuah perusahaan yang bergerak dibidang pengolahan baja menjadi seng, dimana salah satu produknya adalah baja lembaran lapis seng (BJLS). PT. FUMIRA Semarang melakukan produksi massal walaupun disamping itu juga menerima pesanan dari konsumen. Namun, masalah kerja yang ada di PT. FUMIRA yaitu banyak terjadinya kecelakaan kerja 46% di bagian produksi yang dapat menyebabkan cacat fisik pada bagian tubuh pekerja dan produktivitas kerja menurun. Untuk mengurangi penyebab kecelakaan kerja di bagian produksi maka dilakukan evaluasi SMK3 kurang optimal dalam idenfikasi bahaya dan menangani penyebab kecelakaan kerja. Identifikasi potensi (sumber) bahaya ini dilakukan dengan mencatat semua langkah-langkah tiap aktifitas yang terjadi pada departemen produksi di PT. FUMIRA dengan menggunakan pendekatan tahapan manajemen risiko atau  Hazard Identification, Risk Assessment, Risk Control (HIRARC) sehingga didapat total bahaya sebanyak 43 risk event. Potensi bahaya yang memiliki katagori Risk  Priority Indeks (RPI) tertinggi  ada 22 risk event, kemudian 14 risk event untuk dicari penyebab kejadian risik dengan Fault Tree Analysis. Rekomendasi sesuai dengan potensi bahaya adalah mengunakan alat pelindung diri (APD), Pengawasan pelaksanaan aktivitas pekerjaan, pelatihan dan melakukan perawatan pada mesin.. Sehingga hasil yang didapat dari penyebab kecelakaan kerja diharapkan dapat mengurangi tingkat kecelakaan kerja yang ada dari kecelakaan sebelumnya dengan melakukan metode HIRARC dan FTA.  Fumira Semarang, Inc. is a a company engaged in the processing of steel into zinc, in which one of its products is zinc-coated steel sheet. Fumira, Inc. produces in bulk, though beside that also receives orders from customers. However, work issues that occur in Fumira, Ltd. is there are a lot of work accidents by 46% in production that can cause physical defects in the body parts of the workers and decrease work productivity. To reduce the causes of the accident, it is necessary to evaluate SMK3 less than optimal in the hazard identification and addressing the causes of workplace accidents. The identification potential hazards records all the steps for each activity that occurs in the production department at Fumira, Inc. using a risk management stage approach or Hazard Identification, Risk Assessment, Risk Control (HIRARC) in order to get as many as 43 total hazard risk events. The potential of hazards that has category of Risk Priority Index (RPI) which the highest were 22 risk events, then 13 risk events to look for the causes of risk events with Fault Tree Analysis (FTA). Recommendation in accordance with the potential of hazard is the using of personal protective equipment, monitoring the implementation of work activities, training and performing maintenance on the machine. So that results of the causes of the accidents can reduce the accident rate of the previously accidents with HIRARC and FTA method.
Implementation of Ensemble Machine Learning Classifier and Synthetic Minority Oversampling Technique for Sentiment Analysis of Sustainable Development Goals in Indonesia Gufroni, Acep Irham; Hoeronis, Irani; Fajar, Nur; Rachman, Andi Nur; Sidik Ramdani, Cecep Muhamad; Sulastri, Heni
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1949

Abstract

As part of the Sustainable Development Goals (SDGs), governments worldwide have committed to improving people's lives to improve the quality of life for all, including the 17 such goals that were agreed upon in 2015 to benefit the human race as a whole. It would be interesting to see how society responds to the SDGs after approximately half of them have been achieved. This public response was analyzed in terms of sentiment. Within the total number of internet users in Indonesia, there are 18.45 million Twitter users. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. To model the data collected, the researchers used Ensemble Machine Learning Classifiers (EMLC) to model the data by using a machine learning classifier that uses machine learning techniques. The best model in this study is EMLC-Stacking with a data splitting of 80:20 and using SMOTE, which obtains an accuracy of 91%. This accuracy results from a 5% increase compared to when not using SMOTE. From 15,698 tweets, this research found that 47% were positive sentiments, 28% were negative sentiments, and 25% were neutral sentiments. The results that we measured offer hope that there will be a positive trend in the journey of the SDGs until 2030 if these findings are true.
Peran Lembaga Pemberdayaan Masyarakat Desa Mewadahi Partisipasi Masyarakat Dalam Pembangunan Di Desa Balassuka Kecamatan Tombolo Pao Kabupaten Gowa Fajar, Nur; Tahir, Muhammad; Abdi, Abdi
Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Vol 1, No 2 (2020): Oktober 2020
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/kimap.v1i2.3844

Abstract

This study aimed to determine the role of the LPMD in accommodating community participation in development and what factors influence the role of the LPMD so that the village development of Balassuka Village, Buttono Pao district, Gowa Regency could be carried out properly. This study used qualitative with a descriptive approach. The Informants in this study were 10 people. Data collection techniques used observation, interviews and documentation. The results of this study indicated that the role of the Village Community Empowerment Institution (LPMD) either as a facilitator was still less than optimal so that in achieving a more prosperous standard of living was very difficult, mediators had  been carried out but not yet maximized so that community interest in participating in any development was still lacking However, motivators and dynamists were still not maximized in order to facilitate community participation in the development of Balasukka Village. The factors that influenced the pran LPMD  were age, education, and employment or income.