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All Journal Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Pengelolaan Laboratorium Pendidikan WIDYA LAKSANA Integrated Lab Journal

Nunung Isnaini Dwi Ningsih

UIN Syarif Hidayatullah Jakarta

Author-ID : 333658

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Other

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Title

Pengendalian Keselamatan dan Kesehatan Kerja Kegiatan Laboratorium Menggunakan Job Safety Analysis (Akuisisi Data Geolistrik) Nunung Isnaini Dwi Ningsih
Integrated Lab Journal Vol. 10 No. 01 (2022)
Publisher : UIN Sunan Kalijaga Yogyakarta

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Research has been carried out on controlling occupational health safety in laboratory activities, namely the acquisition of geoelectrical data using the Job Safety Analysis (JSA) method. Primary data was obtained through direct observation in the field, while secondary data was obtained from documents related to the implementation of JSA. The purpose of this study is to determine the types of hazards that arise in geoelectric data acquisition activities. The results obtained will be the first step in preventing work accidents in these activities. Based on the research, it was found that the JSA method helps in identifying the hazards that arise in geoelectrical data acquisition activities and making controls to minimize each risk that may arise. In the acquisition of geoelectrical data, there are 3 (three) stages of work, namely personnel preparation, track preparation, and equipment installation. Through the JSA method, at each stage, the details of the work are made and then the identification of hazards, risks, and their control is carried out. At the three stages of work, all three can pose a hazard in terms of physics, chemistry, biology, ergonomics, and psychology. Those in charge of geoelectric data acquisition are supervisors and workers, Supervisors, in this case, are practicum lecturers or assistants or Educational Laboratory Institutions (PLP)/Labors, and workers, in this case, our students. To minimize all types of hazards, in the 3 (three) stages of the work, firstly for personnel preparation, it must be ensured that all personnel has attended K3 training on geoelectric data acquisition. All personnel participate in Safety Induction before carrying out the data acquisition process. At the stage of track preparation and equipment installation, it must be ensured that the equipment is ready for use in the field and that personal protective equipment is available in accordance with the OHS requirements for geoelectric data acquisition.

UJI KINERJA HANDYVIEWER MC-SEIS 3 CHANNEL UNTUK PENDETEKSIAN LAPISAN DIBAWAH PERMUKAAN Nunung Isnaini Dwi Ningsih
Integrated Lab Journal Vol. 6 No. 2 (2018)
Publisher : UIN Sunan Kalijaga Yogyakarta

Telah dilakukan uji kinerja alat ukur seismik refraksi Handyviewer Mc-Seis 3 Ch untuk mendeteksi lapisan bawah permukaan. Handyviewer Mc-Seis 3 Ch bekerja dengan prinsip metode seismik refraksi yaitu salah satu metode geofisika yang digunakan untuk mengetahui struktur bawah permukaan dangkal dengan akurasi dan resolusi yang cukup baik. Prinsip metode seismik refraksi atau bias adalah memanfaatkan gelombang primer yang menjalar di bawah permukaan tanah dan membentuk sudut kritis sehingga gelombang akan merambat pada bidang batas lapisan. Waktu tiba gelombang yang dibiaskan oleh lapisan bawah permukaanyang kemudian direkam dalam geophone dan kemudian diinterpretasikan sebagai struktur lapisan bawah permukaan dengan parameter fisis kecepatan sebagai fungsi kedalaman. Pengujian dilakukan di Bumi Perkemahan Ragunan Jakarta dengan pendekatan interpretasi menggunakan metode Hagiwara. Hasil yang diperoleh menunjukkan bahwa Handyviewer Mc-Seis 3 Ch ini masih bisa bekerja dengan baik dengan data kecepatan gelombang pada lapisan atas 166.67 m/s diinterpretasikan sebagai soil dengan ketebalan lapisan kurang lebih 2 - 2,5 meter. Lapisan kedua dengan kecepatan penjalaran gelombang 6333.33 m/s diinterpretasikan sebagai limestone dan dinterpretasikan ketebalan lapisan kurang lebih 2 meter sampai tak hingga.

PENERAPAN STATISTICS PROCESS CONTROL DALAM PENGAMATAN SIFAT FISIKA DAN KIMIA AIR BUANGAN DARI AIR CONDITIONING (AC) Titik Indrawati; Nunung Isnaini Dwi Ningsih
Integrated Lab Journal Vol. 6 No. 2 (2018)
Publisher : UIN Sunan Kalijaga Yogyakarta

Statistics Process Control (SPC) is a tool used for on-line quality control in mass production. Control Charts or control charts are selected from statistical sampling theory that is effectively applied in SPC. This paper will explain the function and method of applying one of the tools in SPC to observe the physical and chemical properties of wastewater from air conditioner (AC). The physical and chemical properties observed were TDS, pH, DHL, temperature, and turbidity. The results of the application of SPC by using the control chart shows that the control chart makes it easy for the observer to do the analysis process of the observation data. The results obtained can be taken from SPC on the observation of the physical and chemical properties of AC waste water in the Environmental Laboratory of the Faculty of Biology, Jenderal Soedirman University, namely the average value of each parameter, namely TDS = (4.85 mg / L), pH = 6.53, DHL = 0.00117 (ms), temperature = 23.3C, Turbidity = 0.4265 (NTU). Referring to the requirements of distilled water, the AC waste water is still suitable for use as a substitute for distilled water. The ploting of data on the Xbar-chart TDS data, pH, and Turbidity is within the control limit with a confidence level of 99%, while the Temperature and DHL data are within the control limit with a 95% confidence level. While the results of plotting the data on the Rbar-chart of TDS, DHL, and Temperature data are within the control limits with a 99% confidence level, while the pH and Turbidity data are within the control limits with a 95% confidence level.

Co-Authors Bagus Septyanto Festy Auliyaur Rahmah Fitriah Hatiningsih Muhammad Nafian Nita Rosita Padya Sumarwanto Puji Astuti Titik Indrawati Titik Indrawati Wahyu Permata

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