Abstract:The aim of this study is to explore the effectiveness of Trello in improving communication and collaboration enhance quality of service within a service company. The study will use a qualitative approach to collect and analyze…
nalyze data. Qualitative data will be collected through interviews with the CEO and Employee of Kotak Narsis, while the financial report 2020-2023 and the number of problems encountered will be used as secondary sources of data. The qualitative data from the interviews will be analyzed using thematic analysis to identify key themes and patterns in the data. Based on the results of the interviews, it appears that Trello can be an effective solution to the problems faced by the company, mainly poor quality of service. The company also found that the quality of the company's photobooth selfie box service improved, as evidenced by the reduced number of customer complaints.
Abstract:The purpose of this study was to determine the effect of sales promotions and brand awareness on purchasing decisions for Iconnet at PT. Icon+ in Makassar City. The population in this study are Iconnet customers. Sampling…
g in this study used the slovin formula so that 96 respondents were sampled. The type of research used is associative research. The data used is primary data obtained by distributing questionnaires to customers. The results of the study after being processed with SPSS 25 show that there is a partially significant effect between the independent variables on the dependent variable as evidenced by the t value of the sales promotion variable (X1) of 7.015 > t table of 1.661 with a sig. 0.000 < 0.05, and the calculated t value of the brand awareness variable (X2) is 2.873 > t table 1.661 with a significant value of 0.005 <0.05. Simultaneously there is a significant effect between the independent variable on the dependent variable as evidenced by the multiple linear regression equation Y = 4.565 + 0.302 X1 + 0.155 X2 +e and the significant effect of F count 41.345 > F table 3.094 with a significant level of 0.00 <0.05 The R Square value or the coefficient of determination of 0.471 indicates that 47.1% of the purchasing decision variable (Y) is influenced or can be explained by the independent variables of sales promotion and brand awareness, while the remaining 52.9% is explained by other variables not included in the this research. Based on this description.
Abstract:The Effect of Compensation on Employee Organizational Commitment of PT. Vale Tbk in Sorowako. The purpose of this study was to determine the Effect of Compensation on Employees' Organizational Commitment at PT. Vale Tbk…
in Sorowako. This type of research is quantitative research. The number of samples in this study were 60 employees who were employees in the Maintenance Department of PT. Vale The results of the study after the data were processed showed that there was a positive influence between the financial compensation (X1) and non-financial compensation (X2) variables on the Organizational Commitment variable (Y) which can be shown through the results of the T test, namely variable X1 has variable X1 has t count 4.653 > 2.002 (t table) and sig. 0.000 < 0.05. Variable X2 has a t count of 3.392 > 2.002 (t table) and a sig. 0.000 < 0.05.
Abstract:The purpose of this study was to determine the effect of the work environment on the job satisfaction of the Samsat Office UPT Regional Income Makassar 1 regionally partially and simultaneously. The samples used were 40…
employees of the UPT Regional Revenue Samsat Office Makassar Region 1. The data collection technique was carried out by means of a questionnaire. Data analysis techniques consist of validity test, reliability test, classic assumption test consisting of normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis test, hypothesis test, test of the coefficient of determination. Physical Work Environment Variables have a positive and significant effect on job satisfaction, and Non-Physical Work Environment variables have a positive and significant effect on job satisfaction. The most dominant variable affecting job satisfaction is the non-physical work environment variable. The dependent variable job satisfaction can be explained by variables consisting of the physical work environment, and the remaining non-physical work environment is explained by other variables that were not examined in this study.
Abstract:The purpose of the study was to determine the effect of product quality and service quality on customer satisfaction at the SLV Room Boutique. The population in this study were consumers of SLV Room Boutique. the sampling…
g in this study was carried out using a purposive sampling technique so that 80 respondents were sampled. The type of research used is quantitative. The data used is primary data obtained by distributing questionnaires to consumers. The results of the study after the data was processed with SPSS.23 show that there is a partially significant effect between the independent variable and the dependent variable which can be proven by the calculated t value of the product quality variable (X1) of 2,938> t table 1.665 with a significant value of 0.004 <0.05 and the calculated t value of the service quality variable (X2) of 4.700> t table 1.665 with a significant value of 0.000 <0.05. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. Simultaneously there is a positive and significant effect on the dependent variable (X2). Simultaneously, there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016 > F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. there is a positive and significant influence between the independent variables on the dependent variable as evidenced by the multiple linear regression equation, namely Y = -0.754 + 0.167 X1 + 0.338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study. 338 X2 + e and a significant effect with a calculated F value of 56.016> F table 3.965 with a significant level of 0.00 <0.05. The R Square value or the coefficient of determination of 0.593 indicates that 59.3% of the customer satisfaction variable (Y) is influenced or can be explained by the independent variables of product quality and service quality, while the remaining 40.7% is explained by other variables not included in this study.
Abstract:This study aims to determine the effect of marketing mix on sales volume at PT. Megahputra Prosperous Pettarani Makassar Branch. The population in this study are consumers at PT. Megahputra Sejahtera Pettarani Makassar Branch…
ranch who purchased Suzuki Ertiga car products in 2018-2022. Data collection was carried out using documentation and questionnaire methods. The data analysis technique used is multiple linear regression analysis. Multiple linear regression equations produce equations Y ̂= 0.308+ 0.248X_1+ 0.009X_2+ 0.027X_( 3)+ 0.094X_4 + ( -0.151 ) X_5+ 0.403X_6 + 0.137X_7. This the results of this study found that simultaneously the Marketing Mix variable (X1, X2, X3, X4, X6, and X7) has a positive effect on Sales Volume while X5 has a negative effect on Sales Volume. The results of the determination correlation analysis (R Square) were 0.343 which indicated that 34.3% of the independent variables namely X1, X2, X3, X4, X5, X6, and X7 had an effect or were able to explain the characteristics of the dependent variable (Y). While the remaining 65.7% is influenced or explained by other variables not included in this research model. The results of the F test explain that the seven Marketing Mix variables have a significant effect on the Sales Volume variable with a calculated F value (6.157) > F table (2.16) with a significance level of 0.000 <0.05 and the t test results explain that the Product variable (X1) with value 0.017 <0.05 and Process (X6) with a value of 0.001 <0.05 has a significant effect on Sales Volume variable
Abstract:Pantai Bohay merupakan salah satu destinasi ekowisata yang berada di Desa Binor, Kecamatan Paiton, Kabupaten Probolinggo. Kawasan ini memiliki berbagai potensi ekowisata yang didukung oleh keindahan panorama pantai, keberadaan…
radaan terumbu karang, ekosistem mangrove, wisata kuliner berbasis hasil laut, serta keterlibatan masyarakat lokal dalam pengelolaannya. Di sisi lain, aktivitas ekowisata juga menimbulkan berbagai dampak yang perlu dikaji sebagai dasar pengembangan kawasan secara berkelanjutan. Penelitian ini bertujuan untuk mengidentifikasi potensi dan dampak ekowisata Pantai Bohay, serta menganalisis strategi pengembangannya menggunakan analisis SWOT. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian studi kasus. Subjek penelitian terdiri atas pengelola ekowisata Pantai Bohay, masyarakat lokal, dan wisatawan yang dipilih menggunakan teknik purposive sampling. Pengumpulan data dilakukan melalui observasi, wawancara semi terstruktur, dan studi dokumen. Analisis data menggunakan model Miles dan Huberman yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan, sedangkan strategi pengembangan dianalisis menggunakan SWOT. Hasil penelitian menunjukkan bahwa Pantai Bohay memiliki potensi ekowisata yang meliputi ekowisata bahari berbasis terumbu karang, panorama pantai dan sunset, ekosistem mangrove, serta wisata kuliner hasil laut. Dampak positif yang ditimbulkan meliputi peningkatan pendapatan masyarakat, terbukanya lapangan kerja, meningkatnya partisipasi masyarakat dalam kegiatan konservasi, serta tumbuhnya kesadaran terhadap pelestarian lingkungan. Namun demikian, masih terdapat beberapa kendala, seperti keterbatasan fasilitas tertentu, pengelolaan mangrove yang belum optimal, dan ancaman terhadap ekosistem pesisir. Berdasarkan analisis SWOT, strategi pengembangan diarahkan pada penguatan potensi sumber daya alam dan kelembagaan lokal, peningkatan fasilitas pendukung, pengembangan atraksi ekowisata, serta penguatan upaya konservasi lingkungan.
Bohay Beach is an ecotourism destination located in Binor Village, Paiton District, Probolinggo Regency. The area boasts various ecotourism potentials supported by scenic coastal views, coral reefs, mangrove ecosystems, seafood-based culinary tourism, and local community involvement in its management. However, ecotourism activities also generate impacts that require assessment to inform sustainable area development. This study aims to identify the ecotourism potential and impacts of Bohay Beach and to analyze development strategies using SWOT analysis. This study employs a qualitative approach using a case study design. Research subjects include Bohay Beach ecotourism managers, local community members, and tourists, selected via purposive sampling. Data collection involved observation, semi-structured interviews, and document analysis. Data analysis utilized the Miles and Huberman model—comprising data reduction, data display, and conclusion drawing—while development strategies were analyzed using SWOT. The results indicate that Bohay Beach possesses ecotourism potential including coral reef-based marine ecotourism, coastal scenery and sunsets, mangrove ecosystems, and seafood culinary tourism. Positive impacts include increased community income, job creation, heightened community participation in conservation activities, and growing environmental awareness. Nevertheless, challenges remain, such as limited facilities, suboptimal mangrove management, and threats to the coastal ecosystem. Based on the SWOT analysis, development strategies focus on strengthening natural resource potential and local institutions, upgrading supporting facilities, developing ecotourism attractions, and reinforcing environmental conservation efforts.
Abstract:The advancement of information technology has accelerated digital transformation in healthcare, particularly through the implementation of Electronic Medical Records (EMRs). However, many healthcare facilities still use…
hybrid systems that combine manual and digital record-keeping without proper integration, resulting in inefficient patient data management. This study aims to develop an integrated hybrid Electronic Medical Record system at Damai Clinic to improve healthcare services and patient data management. A descriptive research method with a system development approach was employed through system analysis, problem identification, and system design. The results indicate that the proposed system successfully integrates patient registration, medical examination, pharmacy services, payment, and reporting into a single system. The hybrid implementation allows paper-based records to remain as supporting archives while electronic records become the primary source of patient information. The developed system is expected to improve service efficiency, reduce documentation errors, enhance data security, and support digital transformation in healthcare facilities.
Abstract:Promosi penerimaan mahasiswa baru (PMB) merupakan salah satu faktor penting dalam meningkatkan jumlah dan kualitas calon mahasiswa. Namun, strategi promosi yang belum memanfaatkan data historis secara optimal dapat menyebabkan…
babkan kegiatan promosi kurang tepat sasaran. Penelitian ini bertujuan untuk menganalisis data historis PMB sebagai dasar dalam menyusun strategi promosi yang lebih efektif pada Jurusan Teknologi Informasi dan Komputer Politeknik Negeri Lhokseumawe. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan memanfaatkan data sekunder PMB periode 2023–2025. Analisis dilakukan melalui tahapan data cleaning, transformasi data, statistik deskriptif, segmentasi calon mahasiswa, dan visualisasi data menggunakan dashboard analitik. Variabel yang dianalisis meliputi program studi, asal sekolah, jurusan asal sekolah, kecamatan, kabupaten/kota, provinsi, jalur masuk, dan sumber informasi pendaftar. Hasil penelitian menunjukkan bahwa sebagian besar pendaftar berasal dari Provinsi Aceh, khususnya Kabupaten Aceh Utara dan Kota Lhokseumawe, dengan dominasi lulusan jurusan IPA serta peminat terbesar pada Program Studi Teknik Informatika. Instagram dan website menjadi sumber informasi utama bagi calon mahasiswa. Pemanfaatan data historis melalui visualisasi data mampu memberikan informasi yang lebih komprehensif mengenai karakteristik calon mahasiswa sehingga dapat mendukung pengambilan keputusan dalam penyusunan strategi promosi PMB yang lebih terarah, efektif, dan berbasis data.
New student admissions (PMB) promotion is an important factor in increasing the number and quality of prospective students. However, promotional strategies that do not optimally utilize historical data can result in less targeted promotional activities. This study aims to analyze historical PMB data as a basis for developing a more effective promotional strategy in the Information and Computer Technology Department of the Lhokseumawe State Polytechnic. The study uses a descriptive quantitative approach utilizing secondary PMB data for the 2023–2025 period. The analysis was carried out through the stages of data cleaning, data transformation, descriptive statistics, prospective student segmentation, and data visualization using an analytical dashboard. The variables analyzed included study program, school of origin, major of origin of school, sub-district, regency/city, province, admission route, and applicant information sources. The results show that most applicants come from Aceh Province, especially North Aceh Regency and Lhokseumawe City, with a predominance of science graduates and the greatest interest in the Informatics Engineering Study Program. Instagram and websites are the main sources of information for prospective students. The use of historical data through data visualization can provide more comprehensive information regarding the characteristics of prospective students so that it can support decision-making in developing more targeted, effective, and data-based PMB promotion strategies.
Abstract:Penelitian ini bertujuan untuk menganalisis dan mengidentifikasi faktor-faktor penghambat dalam pembelajaran motorik dasar yang dihadapi oleh guru PJOK pada jenjang sekolah dasar kelas rendah di MI Baitul Huda Semarang.…
Melalui pendekatan kualitatif dengan desain studi kasus, data dikumpulkan melalui wawancara semiterstruktur dengan guru dan siswa, observasi lapangan yang sistematis, serta dokumentasi kurikulum. Analisis data dilakukan menggunakan model interaktif Miles dan Huberman yang meliputi reduksi, penyajian, dan verifikasi data. Temuan terpenting dalam penelitian ini menunjukkan bahwa meskipun pembelajaran berlangsung aktif dan berbasis permainan, terdapat hambatan struktural berupa keterbatasan sarana-prasarana serta hambatan pedagogis terkait heterogenitas kemampuan siswa yang sulit dikondisikan. Lebih lanjut, ditemukan adanya kesenjangan antara aktivitas fisik yang tinggi dengan pemahaman konseptual siswa yang masih rendah, di mana pembelajaran cenderung bersifat intuitif-pragmatis namun belum berbasis pada asesmen diagnostik yang sistematis. Refleksi atas temuan ini mengungkap bahwa ketergantungan pada teacher agency atau kreativitas individu guru dalam memodifikasi alat belum cukup untuk mengatasi persoalan tanpa dukungan kebijakan institusional. Sebagai kontribusi, penelitian ini memberikan peta jalan bagi pengembangan model pembelajaran PJOK yang lebih holistik, yang tidak hanya menekankan pada keaktifan fisik, tetapi juga mengintegrasikan penguatan konsep dan diferensiasi instruksional yang responsif terhadap tahap perkembangan anak. Hasil studi ini diharapkan menjadi referensi bagi pemangku kebijakan dalam merancang program pendampingan guru dan penataan alokasi sumber daya yang lebih tepat sasaran guna menjamin optimalisasi kompetensi motorik dasar pada fase kritis perkembangan anak.