ANALISIS KEPUASAN PASIEN RAWAT JALAN TERHADAP MUTU PELAYANAN KEFARMASIAN DI PUSKESMAS TANAWANGKO

ABSTRACTPatient satisfaction is an important indicator for pharmaceutical services and has a close relationship with service quality. A good quality of services will provide satisfaction to patient so that it affects to return the Health Center. The purpose of this study was to determine the satisfaction of outpatients with the quality of pharmaceutical services at the Tanawangko Health Center. This research is a descriptive study and the data collection tool used is the questionnaire given to 277 respondents. Based on the research results obtained, it is known that each question on the 5 dimensions has a negative value with an average value (-0.38) this value is obtained from the average value of the total service quality index between expectations and reality, meaning the patient is not satisfied. The reality received is lower yhan expectations.Keywords :  Level of satisfaction, expectations, reality. ABSTRAK Kepuasan pasien merupakan indikator penting bagi pelayanan kefarmasian dan memiliki hubungan erat dengan kualitas pelayanan. Kualitas pelayanan yang baik akan memberikan kepuasan kepada pasien sehingga mempengaruhi pasien untuk kembali lagi ke Puskesmas. Tujuan dari penelitian ini untuk mengetahui kepuasan pasien rawat jalan terhadap mutu pelayanan kefarmasian di Puskesmas Tanawangko. Penelitian ini merupakan penelitian deskriptif dan alat pengumpulan data yang digunakan yaitu kuesioner diberikan kepada 277 responden. Berdasarkan hasil penelitian yang diperoleh, diketahui bahwa setiap pertanyaan pada 5 dimensi memiliki nilai negatif dengan nilai rata-rata (-0,38) nilai ini diperoleh dari rata-rata nilai indeks total kualitas pelayanan antara harapan dan kenyataan, artinya pasien tidak puas. Kenyataan yang diterima lebih rendah dibandingkan dengan harapan.Kata Kunci  : Tingkat kepuasan, harapan, kenyataan

Green synthesis of silver nanoparticles using muntingia calabura leaf extract and evaluation of antibacterial activities

The present work aims to investigate a green synthesis of AgNPs using Muntingia calabura leaf extract as reducing and stabilizing agents. The AgNPs formation was monitored using UV-Vis spectrophotometer. Characterisations of AgNPs size and shape were observed by TEM. The elemental analysis was analyzed using XDS. The maximum surface Plasmon resonance for AgNPs was detected at 425-430 nm. This study revealed that the AgNPs were polydispersed and polycrystalline nature. The microbial inhibition test against Escherichia coli and Bacillus cereus showed that the muntingia leaf-mediated AgNPs had inhibited the growth of these bacteria, as indicated by the formation of inhibition zone. The average inhibition zone for Escherichia coli was 10.3±0.5 mm and for Bacillus cereus at 9.5±0.6 mm. TEM results showed that the synthesised AgNPs have spherical form with the sizes ranging from 22 to 37 nm. Hence, the synthesised AgNPs can potentially be applied for water treatment and medicinal purposes

Frequency parametrization to numerically predict flutter in turbomachinery

In the quest for performance, modern turbomachinery designs are increasingly proner to flutter hazards. Unfortunately, their prediction is currently too expensive and inaccurate for industrial purpose. A significant step towards faster methods would consist in substituting a sequential algorithm to the classical iterative ones encountered in loose coupling strategies. The approach proposed here makes it possible through the use of a meta-model taking into account the sensitivity to design variables. This parametrized method is evaluated on a standard well referenced turbine configuration

SENTIMENT ANALYSIS OF MYPERTAMINA APPLICATION USING SUPPORT VECTOR MACHINE AND NAÏVE BAYES ALGORITHMS

In line with the needs of the community and the progress of the times in the advanced field of fintech, cash payments are currently considered insecure as well as ineffective and efficient. To run a non-cash or cashless transaction program currently run by the government, PT. Pertamina invites the public to use E-Payment from the My Pertamina application in collaboration with LinkAja. In this study, the sentiments of MyPertamina application users will be analyzed based on reviews on the Google Play Store. Review data will be analyzed to determine whether the review has positive, negative, or neutral sentiments. The data analysis stage is text preprocessing to change uppercase to lowercase, clearing text, separating text, taking important words, changing essential words, and labeling data into positive, negative, and neutral classes. As well as the classification and evaluation of results. This study used the Support Vector Machine (SVM) and Naïve Bayes classification methods. To evaluate the results, the confusion matrix was used to test the accuracy, precision, recall, and F1 score value. The classification results obtained the highest accuracy value for the Support Vector Machine (SVM) method, which had accuracy (68.50%), precision (70.00%), recall (69.70%), and F1 score (68.46%). Meanwhile, the Naïve Bayes method has performance with accuracy (63.00%), precision (63.90%), recall (61.34%), and F1 score (59.55%)

Pendampingan Belajar IPA Fisika Berbasis Game Edukatif Melalui Kegiatan Kampung Belajar Lembang Rantedada

Kegiatan ini merupakan  kegiatan desa binaan berupa pendampingan belajar IPA Fisika berbasis game edukatif melalui kegiatan kampung belajar di Lembang Rantedada. Tujuan pengabdian kepada masyarakat yang dilaksanakan di Lembang Rantedada ini dapat meningkatkan minat dan motivasi siswa Sekolah Dasar terhadap IPA Fisika  serta mengembangkan keterampilan berpikir kritis dan praktis siswa. Hasil Pengabdian masyarakat ini yang berupa pendampingan belajar siswa terdapat peningkatan minat dan motivasi siswa  yang dapat dilihat dari hasil belajar melalui game edukatif. Pengembangan keterampilan berpikir kritis dan praktids siswa dapat dilihat dari  kegiatan eksperimen sederhana yang dilakukan

Rumah Adat “Tongkonan” Bastem, Kabupaten Luwu Provinsi Sulawesi Selatan 1998-2019

Penelitian dan penulisan ini bertujuan untuk mengetahui latar belakang pembangunan Tongkonan Bastem di Luwu, fungsi Tongkonan bagi masyarakat Batem di Luwu, dan Perkembangan Tongkonan Bastem di Luwu. Penelitian ini menggunakan metode penelitian sejarah yang terdiri atas empat tahapan yaitu: heuristik (pengumpulan data atau sumber), kritik sumber yang terdiri dari kritik intern dan ekstern, interpretasi atau penafsiran sumber, dan historiografi yaitu penulisan sejarah. Hasil penelitian ini menunjukkan bahwa pembangunan Tongkonan Bastem dilakukan oleh dua suku besar yang ada di Sulawesi Selatan, yaitu suku Bugis (Luwu) dan Toraja. Mereka melakukan perluasan wilayah ke daerah Bastem dan membuat peradaban tersendiri, dan melakukan perkawinan antar suku, hingga akhirnya rumah Tongkonan Bastem berpadu antar dua budaya, yaitu Bugis (Luwu) dan Toraja. Fungsi Tongkonan Bastem sendiri sebagai istana atau tempat tinggal Parengge dan turunannya, sebagai lambang kebesaran dan tempat sumber kekuasaan dan peraturan pemerintah adat. Pada tahun 1998 Tongkonan Bastem tidak lagi digunakan sebagai pusat pemerintahan dan tempat upacara keagamaan. Rumah Tongkonan Bastem sudah mengalami perkembangan, seperti atapnya yang sudah menggunakan atap Seng. Kata Kunci : Tongkonan Bastem, Kabupaten Luwu, Sulawesi Selatan

In vivo inhibition of c-MYC in myeloid cells impairs tumor-associated macrophage maturation and pro-tumoral activities

Although tumor-associated macrophages (TAMs) are involved in tumor growth and metastasis, the mechanisms controlling their pro-tumoral activities remain largely unknown. The transcription factor c-MYC has been recently shown to regulate in vitro human macrophage polarization and be expressed in macrophages infiltrating human tumors. In this study, we exploited the predominant expression of LysM in myeloid cells to generate c-Myc(fl/fl) LysM(cre/+) mice, which lack c-Myc in macrophages, to investigate the role of macrophage c-MYC expression in cancer. Under steady-state conditions, immune system parameters in c-Myc(fl/fl) LysM(cre/+) mice appeared normal, including the abundance of different subsets of bone marrow hematopoietic stem cells, precursors and circulating cells, macrophage density, and immune organ structure. In a model of melanoma, however, TAMs lacking c-Myc displayed a delay in maturation and showed an attenuation of pro-tumoral functions (e.g., reduced expression of VEGF, MMP9, and HIF1α) that was associated with impaired tissue remodeling and angiogenesis and limited tumor growth in c-Myc(fl/fl) LysM(cre/+) mice. Macrophage c-Myc deletion also diminished fibrosarcoma growth. These data identify c-Myc as a positive regulator of the pro-tumoral program of TAMs and suggest c-Myc inactivation as an attractive target for anti-cancer therapy

Autophagy and the lysosomal system in cancer

Autophagy and the lysosomal system, together referred to as the autophagolysosomal system, is a cellular quality control network which maintains cellular health and homeostasis by removing cellular waste including protein aggregates, damaged organelles, and invading pathogens. As such, the autophagolysosomal system has roles in a variety of pathophysiological disorders, including cancer, neurological disorders, immune- and inflammation-related diseases, and metabolic alterations, among others. The autophagolysosomal system is controlled by TFEB, a master transcriptional regulator driving the expression of multiple genes, including autophagoly sosomal components. Importantly, Reactive Oxygen Species (ROS) production and control are key aspects of the physiopathological roles of the autophagolysosomal system, and may hold a key for synergistic therapeutic interventions. In this study, we reviewed our current knowledge on the biology and physiopathology of the autophagolysosomal system, and its potential for therapeutic intervention in cancer

De novo identification of universal cell mechanics regulators

Mechanical proprieties determine many cellular functions, such as cell fate specification, migration, or circulation through vasculature. Identifying factors governing cell mechanical phenotype is therefore a subject of great interest. Here we present a mechanomics approach for establishing links between mechanical phenotype changes and the genes involved in driving them. We employ a machine learning-based discriminative network analysis method termed PC-corr to associate cell mechanical states, measured by real-time deformability cytometry (RT-DC), with large-scale transcriptome datasets ranging from stem cell development to cancer progression, and originating from different murine and human tissues. By intersecting the discriminative networks inferred from two selected datasets, we identify a conserved module of five genes with putative roles in the regulation of cell mechanics. We validate the power of the individual genes to discriminate between soft and stiff cell states in silico, and demonstrate experimentally that the top scoring gene, CAV1, changes the mechanical phenotype of cells when silenced or overexpressed. The data-driven approach presented here has the power of de novo identification of genes involved in cell mechanics regulation and paves the way towards engineering cell mechanical properties on demand to explore their impact on physiological and pathological cell functions

Caveolin-1 dolines form a distinct and rapid caveolae-independent mechanoadaptation system.

In response to different types and intensities of mechanical force, cells modulate their physical properties and adapt their plasma membrane (PM). Caveolae are PM nano-invaginations that contribute to mechanoadaptation, buffering tension changes. However, whether core caveolar proteins contribute to PM tension accommodation independently from the caveolar assembly is unknown. Here we provide experimental and computational evidence supporting that caveolin-1 confers deformability and mechanoprotection independently from caveolae, through modulation of PM curvature. Freeze-fracture electron microscopy reveals that caveolin-1 stabilizes non-caveolar invaginations-dolines-capable of responding to low-medium mechanical forces, impacting downstream mechanotransduction and conferring mechanoprotection to cells devoid of caveolae. Upon cavin-1/PTRF binding, doline size is restricted and membrane buffering is limited to relatively high forces, capable of flattening caveolae. Thus, caveolae and dolines constitute two distinct albeit complementary components of a buffering system that allows cells to adapt efficiently to a broad range of mechanical stimuli.We thank R. Parton (Institute for Molecular Biosciences, Queensland), P. Pilch (Boston University School of Medicine) and L. Liu (Boston University School of Medicine) for kindly providing PTRFKO cells and reagents, S. Casas Tintó for kindly providing SH-Sy5y cells, P. Bassereau (Curie Institute, Paris) for kindly providing OT setup, V. Labrador Cantarero from CNIC microscopy Unit for helping with ImageJ analysis, O. Otto and M. Herbig for providing help with RTDC experiments, S. Berr and K. Gluth for technical assistance in cell culture, F. Steiniger for support in electron tomography, and A. Norczyk Simón for providing pCMV-FLAG-PTRF construct. This project received funding from the European Union Horizon 2020 Research and Innovation Programme through Marie Sklodowska-Curie grant 641639; grants from the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033): SAF2014-51876-R, SAF2017-83130-R co-funded by ‘ERDF A way of making Europe’, PID2020-118658RB-I00, PDC2021-121572-100 co-funded by ‘European Union NextGenerationEU/PRTR’, CSD2009- 0016 and BFU2016-81912-REDC; and the Asociación Española Contra el Cáncer foundation (PROYE20089DELP) all to M.A.d.P. M.A.d.P. is member of the Tec4Bio consortium (ref. S2018/NMT¬4443; Comunidad Autónoma de Madrid/FEDER, Spain), co-recipient with P.R.-C. of grants from Fundació La Marató de TV3 (674/C/2013 and 201936- 30-31), and coordinator of a Health Research consortium grant from Fundación Obra Social La Caixa (AtheroConvergence, HR20-00075). M.S.-A. is recipient of a Ramón y Cajal research contract from MCIN (RYC2020-029690-I). The CNIC Unit of Microscopy and Dynamic Imaging is supported by FEDER ‘Una manera de hacer Europa’ (ReDIB ICTS infrastructure TRIMA@CNIC, MCIN). We acknowledge the support from Deutsche Forschungsgemeinschaft through grants to M.M.K. (KE685/7-1) and B.Q. (QU116/6-2 and QU116/9-1). Work in D.N. laboratory was supported by grants from the European Union Horizon 2020 Research and Innovation Programme through Marie Sklodowska-Curie grant 812772 and MCIN (DPI2017-83721-P). Work in C.L. laboratory was supported by grants from Curie, INSERM, CNRS, Agence Nationale de la Recherche (ANR-17-CE13-0020-01) and Fondation ARC pour la Recherche (PGA1-RF20170205456). Work in P.R.-C. lab is funded by the MCIN (PID2019-110298GB-I00), the EC (H20 20-FETPROACT-01-2016-731957). Work in X.T. lab is funded by the MICIN (PID2021-128635NB-I00), ERC (Adv-883739) and La Caixa Foundation (LCF/PR/HR20/52400004; co-recipient with P.R.-C.). IBEC is recipient of a Severo Ochoa Award of Excellence from the MINECO. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the MCIN and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (grant CEX2020-001041-S funded by MICIN/AEI/10.13039/501100011033).S