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Penerapan Job Safety Analysis Sebagai Bentuk Pencegahan Bahaya Pada Aktifitas Pelayanan Teknik ABSw (Air Break Switch) PT. PLN (Persero) ULP (Unit Layan Pelanggan) Purwodadi
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IMPLEMENTASI METODE IQRA’ DALAM MENINGKATKAN KEMAMPUAN MEMBACA AL-QUR’AN DI TPA BAHRUL ‘ULUUM KLATEN TENGAH KLATEN
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Analysis of pharmaceutical technical staff needs at hospital X in Bandung using the WISN method
Get PDFOne of the essential and inseparable health services in hospitals is pharmaceutical services.
Pharmaceutical services in hospitals are carried out by the Hospital Pharmacy Installation (Instalasi
Farmasi Rumah Sakit/IFRS). The implementation of pharmaceutical services in hospitals must be
supported by adequate, skilled, and competent human resources so that pharmaceutical service activities
can run well and are high quality for patients. The lack of human resources for pharmaceutical services
will result in excessive workload and reduced quality of pharmaceutical services. One method widely
used to determine the number of staff needs is the Workload Indicators of Staffing Needs (WISN).
Analysis of the need for pharmaceutical technical staff at Hospital X in Bandung City was carried out
using the WISN method. The data used for the analysis were obtained from interviews, observations,
and data collection on pharmaceutical services from the pharmacy installation of the Hospital X. The
results of the WISN analysis showed that the need for pharmaceutical technical personnel for central
pharmacy installations providing outpatient and inpatient services is 87 people, the total need for the
emergency room pharmacy satellite is 6 people, the operating room pharmacy satellite is 6 people, and
the pharmacy warehouse is 3 people. From the results of WISN ratio, the number of pharmaceutical
technical staff available for the central pharmacy installation, emergency room pharmacy satellite, and
operating room pharmacy satellite are still inadequate for the existing workload (WISN ratio < 1). In
contrast, for the pharmaceutical warehouse, it is adequate (WISN ratio = 1). Therefore, Hospital X needs
to consider adding existing pharmaceutical technical staff to support more optimal pharmaceutical
services at the hospital
Optimization of self-nanoemulsifying drug delivery system of rifampicin for nebulization using cinnamon oil as oil phase
Get PDFLung delivery can overcome the problems related to the effectiveness of tuberculosis treatment by
increasing the drug concentration at the target site. Rifampicin as the first-line antibiotic for tuberculosis
has low water solubility and is unstable in gastric which hinders its effectiveness. Self-nanoemulsifying
drug delivery system (SNEDDS) is a strategy known to improve the solubility and stability of such
drugs. This study aimed to obtain the optimum formula of rifampicin SNEDDS intended for lung
nebulization using essential oil as an oil phase. Several essential oils are known to have effective
antibacterial on Mycobacterium tuberculosis. However, a high capability to solubilize the drug is
required for SNEDDS formulation. Cinnamon oil, tween 80, and transcutol P were chosen as SNEDDS
components for optimization using a D-optimal mixture based on the physicochemical characteristics.
The optimum formula comprised 12.65% cinnamon oil, 75.00% tween 80, and 12.35% transcutol P
which dispersed easily to form a highly transparent emulsion in normal saline under 1 minute. Upon
dilution with saline, the optimal SNEDDS can produce a homogenous nanometer droplet (169.2±19.771
nm, PDI of 0.258±0.070) with acceptable pH for lung administration. It also has a viscosity similar to
water (0.94±0.01 cP) which allows it to be nebulized easily (aerosol output rate of 0.14±0.02 g/min).
Although the diluted SNEDDS has a zeta potential of -2.533±0.268 mV, it was stable for up to 4 hours
during the nebulization. These results indicate the potential of cinnamon oil-based rifampicin SNEDDS
to be an alternative in the pulmonary delivery of rifampicin via nebulization
Random Forest Algorithm to Measure the Air Pollution Standard Index
Get PDFThis study uses the Random Forest algorithm to measure and predict the Air Pollution Standard Index (APSI) at Blimbing Banyuwangi Airport. Air pollution data, including concentrations of O3, CO, NO2, SO2, PM2.5, and PM10, were collected from air monitoring stations at the airport from April 15-30, 2024. APSI measurement followed established formulas by relevant authorities. Data analysis utilized statistical approaches and computational algorithms. The findings reveal that air quality at the airport is generally "Moderate," with occasional "Good" days. The Random Forest algorithm effectively predicts APSI based on existing pollution data. These results provide insights for improving air pollution management at the airport and surrounding areas, emphasizing the need for continuous air quality monitoring. Days classified as "Moderate" suggest health risks for sensitive groups, indicating the need for targeted mitigation strategies. Recommendations include increasing green spaces, optimizing flight schedules to reduce peak pollution, and raising public awareness about air quality. The effectiveness of the Random Forest algorithm suggests its potential application in other airports for proactive air quality management. Future research could integrate real-time data and advanced machine learning models for more accurate and timelier APSI predictions
Debtor Eligibility Prediction Using Deep Learning with Chatbot-Based Testing
No full textPredicting debtor eligibility is essential for effective risk management and minimizing bad credit risks. However, financial institutions face challenges such as imbalanced data, inefficient feature selection, and limited user accessibility. This study combines Recursive Feature Elimination (RFE) and Deep Learning (DL) to improve prediction accuracy and integrates a chatbot interface for user-friendly testing. RFE effectively identifies critical features, while the DL model achieves a validation accuracy of 97.62%, surpassing previous studies with less comprehensive methodologies. The chatbot's novel design not only ensures accessibility but also enhances user engagement through flexible input options, such as approximate values, enabling non-experts to interact seamlessly with the system. For financial institutions, this chatbot-based testing approach offers practical benefits by streamlining debtor evaluation processes, reducing dependency on manual assessments, and providing consistent, scalable, and efficient solutions for credit risk management. It allows institutions to handle inquiries outside business hours, ensuring a continuous service flow. Furthermore, the system’s flexibility supports better customer interaction, increasing trust and transparency. By combining advanced machine learning with accessible interfaces, this study offers a scalable solution to improve the precision and practicality of debtor eligibility assessments, making it a valuable tool for modern financial institutions
Darurat Nazam dan ‘Aib Qafiyah dalam Nazam Kharidah Al-Bahiyyah Karya Ahmad Addardiri
No full textPenelitian ini mengkaji tentang Darurat nazam dan ‘aib Qafiyah dalam kitab al Kharidah al Bahiyyah dengan pendekatan ilmu Arud dan ilmu Qafiyah. Obyek material penelitian ini adalah kitab al Kharidah al Bahiyyah, sebuah kitab yang menerangkan dasar-dasar ilmu Tauhid karya imam Ahmad Ad Dariri.
Metode yang digunakan dalam penelitian ini ialah deskriptif kualitatif dengan menganalisis data Darurat nazam dan ‘aib Qafiyah dalam nazam Kharidah al Bahiyyah, kemudian data yang diperoleh diklasifikasikan sesuai dengan kajian ilmu arud dan Qafiyah.
Hasil penelitian terhadap Darurat nazam dan ‘aib Qafiyah dalam nazam Kharidah al Bahiyyah menunjukkan bahwa Darurat Nazam dalam nazam Kharidah al-Bahiyyah berupa: a) Mensukun huruf yang hidup. b) Penambahan huruf Mad. c) Tidak mentanwin isim Munshorif. d) Membaca pendek isim Mamdud. e) Mengharokati huruf yang mati. f) Memberikan harakat Kasroh pada fi’il Mudhori’ yang dibaca Jazm. g) Memberikan harakat Kasrah pada fi’il Amr’ yang mabni Sukun. ‘Aib Qafiyah dalam nazam Kharidah al-Bahiyah berjumlah 70 nazam, sedangkan nazam yang tidak ada ‘aib Qafiyah terdapat pada nazam ke 61. Jenis-jenis ‘aib Qafiyah dalam nazam Kharidah al-Bahiyah berupa: a) Israf terletak pada nazam ke 45, 46, dan 47, 48 . b) Iqwa’ terletak pada nazam 36 37. c) Sinad Ridf terletak pada nazan 1 dan 2, 10 dan 11, 20 dan 21, 33 dan 34, 38 dan 39, 62 dan 63, 67 dan 68 . d) Sinad Ta’sis terletak pada nazam 2 dan 3, 51 dan 52. e) Tadlmin terletak pada nazam 68 dan 69, 70 dan 71 . f) Ikfa’ terletak pada nazam 7 dan 8, 68 dan 69 . g) Ijazah terletak pada nazam 1 samapai 10, 11 sampai 16,17 sampai 60, dan 63 sampai 69.
Kata kunci: Darurat nazam,‘aib Qafiyah, Arud, Qafiyah.
This research examines the Darurat nazam and ‘aib Qafiyah in the book al Kharidah al Bahiyyah. This research uses an approach from Arud science and Qafiyah science perspective to analyze the Darurat nazam and ‘aib Qafiyah in each nazam al Kharidah al Bahiyyah. The material object of this research is the book al Kharidah al Bahiyyah, which explains the basics of the science of Tauhid by Imam Ahmad Ad Dariri.
This research uses a qualitative descriptive method by analyzing the Darurat nazam and ‘aib Qafiyah data in nazam Kharidah al Bahiyyah, then the data obtained will be classified according to the study of Arud and Qafiyah science.
The results of research on the Darurat nazam and ‘aib Qafiyah in the nazam Kharidah al Bahiyyah show: First, that the Darurat nazam in the nazam Kharidah al Bahiyyah takes the form of: a) Making living letters. b) Addition of the letter Mad. c) Not marrying Munshorif's isim. d) Short reading of Mamdud's isim. e) Harokating the dead letter. f) Giving the Kasroh character to Mudhori fi'il, which is read Jazm. g) Giving the harakat of Kasrah to fi'il Amr' who is mabni Sukun. Second, ‘Aib Qafiyah in the Kharidah al-Bahiyah nazam is 70 nazams, while the nazam that does not have ‘Aib Qafiyah is found on the 61st nazam. The types of ‘Aib Qafiyah in the Kharidah al-Bahiyah nazam are: a) Israf, located on the 45th, 46th, and 47th, 48th nazam. b) Iqwa', located on Nazam 36th and 37th. c) Sinad Ridf, that is located on nazam 1st and 2nd, 10th and 11th, 20th and 21st, 33rd and 34th, 38th and 39th, 62nd and 63rd, 67th and 68th. d) Sinad Ta'sis is located on nazam 2nd and 3rd, 51st and 52nd. e) Tadlmin, located on nazam 68th and 69th, 70th and 71st. f) Ikfa' is located on nazam 7th and 8th, 68th and 69th. g) Ijazah, are located on: 1st to 10th, 11th to 16th, 17th to 60th, and 63rd to 69th nazam.
Key words: Darurat nazam, ‘aib Qafiyah, Arud, Qafiyah