Abstract:Abstract In schools, up to now there are still symptoms of problems related to organizational culture, principal leadership and work motivation with teacher commitment, so that in the aspect of teacher hard work it is still…
till in the sufficient category and needs improvement. It is necessary to examine the influence of organizational culture, principal leadership and work motivation on teacher commitment. This research aims to examine the direct and indirect influence of organizational culture, principal leadership, and work motivation to teacher commitment at SMPN Kepulauan Riau. This research is research with an associative quantitative approach with a survey design taking the location of SMPN Kepulauan Riau. The population in this study was 801 teachers with civil servant status and the sample was 80 teachers. The results of the analysis show that there is a simultaneous direct influence between organizational culture, principal leadership and work motivation to teacher commitment at SMPN Kepulauan Riau with a multiple correlation coefficient of (0.460) with a contribution of (73.96%). The conclusion is that organizational culture, principal leadership and teacher work motivation partially or simultaneously influence teacher commitment. The implication is that the better the organizational culture, principal leadership and work motivation, the higher the teacher commitment at SMPN Kepulauan Riau.
Abstract:To be successful in the competitive market for sacrificial animals, with its short selling season and numerous sellers, prioritizing customer satisfaction is essential. This study was conducted in Meruyung Village, Limo…
District, Depok City on June 24–July 3, 2023, using descriptive-quantitative method to discover the service quality, product quality, and price offered by sellers, and how these three factors affect customer satisfaction of sacrificial animals. Convenience sampling was used to determine the respondents, which is by meeting people at the sales stalls who have bought goats or sheep as sacrificial animals at least once in Meruyung Village. This study involved 70 respondents. Data was obtained using a Likert scale questionnaire via Google Form and processed using multiple regression analysis. The results shows that the quality of service and product, as well as the price factor offered by sacrificial animal sellers, together affect customer satisfaction with sacrificial animals in Meruyung Village, Limo District, Depok City by 36.5%, but only the factor of product quality has a partially significant influence. Therefore, sellers must ensure product quality that meets the requirements of sacrificial animals and customer preferences, as this significantly affects satisfaction.
Abstract:To maximize customer satisfaction through marketing strategies residential property companies must understand the dynamics of appropriate marketing strategies. One of them is by maximizing consumer satisfaction with several…
ral important factors such as product, price, promotion and place. The aim of this research is to analyze the influence of the marketing mix on consumer satisfaction at Astapada Indah III Jombang housing. This type of research uses quantitative research with a cross-sectional study approach. The population of all residents of the Astapada Indah III housing complex was 68 and the sample was 58 people using incidental sampling technique. The independent variables are product, price, promotion, place and the dependent variable is consumer satisfaction. The research instruments used questionnaires, data processing using multiple linear regression tests. The results of the research showed that product and location had a significant effect on housing consumer satisfaction, while price and promotion had no effect on consumer satisfaction. However, simultaneously product, price, promotion and location all influence consumer behavior simultaneously by 79.4%.
Abstract:This research was conducted in the Food and Beverage sector companies listed on the Indonesia Stock Exchange during the period 2017-2021 with the title "Analysis of Activity, Liquidity, and Solvency on Profitability in Food…
ood and Beverage Companies Listed on the Indonesia Stock Exchange (IDX) Period 2017-2021." The data used in this study is quantitative data from secondary sources. The sample was selected using purposive sampling based on specific criteria, with 27 companies selected as samples, making a total of 135 companies studied from the period 2017-2021. The research technique used was multiple linear regression analysis.Partially, the findings of this research state that: 1) Activity has a positive and significant effect on profitability, indicated by a significant value of 0.052 ≤ 0.05 and a t-value of 1.963 > 1.65648. 2) Liquidity has a positive and significant effect on profitability, with a significant value of 0.044 ≤ 0.05 and a t-value of 2.038 > 1.65648. 3) Solvency has a positive and significant effect on profitability, with a significant value of 0.000 ≤ 0.05 and a t-value of 18.944 > 1.65648. 4) Simultaneously, activity, liquidity, and solvency have a positive and significant effect on profitability, as indicated by a significant value of 0.000 < 0.05 and an F-value of 147.949 > 3.07. The determination test shows that 76.7% of the variations in activity, liquidity, and solvency affect profitability, while 23.3% (100% - 76.7%) is influenced by other factors beyond the independent variables studied in food and beverage companies listed on the IDX from 2017 to 2021.
Abstract:The purchase decision is the main goal or purpose of selling a product. This study aims to analyze the influence of marketing experience, price and brand trust on purchasing decisions. This study was conducted using a descriptive…
scriptive quantitative research method with data collection using a research tool in the form of questionnaires distributed directly to respondents. The subjects of this study include consumers who purchased Jotun brand paint products from CV. Asia Maju Rantauprapat during the period specified by the author. Determining the sample size used the purposive sampling technique with a total of 65 consumers. To analyze and analyze the research data, it was carried out using the computer program SPSS version 20 with instrumental testing, classical hypothesis testing, multiple regression analysis and hypothesis testing. Research results show that marketing experience, price and brand trust have a positive and significant impact on purchasing decisions. At the same time, marketing experience, price and brand trust have a positive and significant impact on purchase decisions with a contribution of 0.888 or 88.80% and the remaining 11.20% is influenced by other factors. Other factors were not considered in this study.
Abstract:In the era now, the rapid development of technology makes people use the internet. E-commerce players use the internet as a digital marketing medium. One of the e-commerce that developed at that time was Bukalapak. This…
study aims to determine the effect of trust and ease of use of applications on purchasing decisions on the Bukalapak site in East Lombok. The method used in this research is associative method and the type of data used is quantitative data. The population of this study were all people who used the Bukalapak application in East Lombok. Determination of the sample using Non-Probability Sampling with a total of 75 respondents. The data analysis method uses validity test, reliability test, classical assumption test, hypothesis testing and multiple linear regression. The results of this study indicate that the trust variable has a positive and significant influence on purchasing decisions The Ease-of-Use variable has a positive and significant influence on purchasing decisions.
Abstract:Abstract: This study is motivated by the underutilization of transaction data at Toko F3I Kisaran in supporting decision-making related to inventory and pricing strategies. Currently, decisions are made conventionally based…
sed on experience, which may lead to overstock or stockout conditions. This research aims to develop a sales prediction model by applying Data Mining techniques using the Multiple Linear Regression method to analyze the influence of stock and price variables on sales. The research methodology includes historical data collection, regression analysis, web-based system design using PHP and MySQL, and system testing through the Black Box method. The results indicate that the developed model is capable of generating measurable and systematic sales estimations based on stock and price variables. The implementation of this system can assist store management in planning inventory levels and pricing strategies more efficiently, thereby improving operational effectiveness and business competitiveness.
Keywords: data mining; multiple linear regression; PHP; sales prediction; web-based system
Abstrak: Penelitian ini dilatarbelakangi oleh belum optimalnya pemanfaatan data transaksi penjualan pada Toko F3I Kisaran dalam mendukung pengambilan keputusan terkait persediaan dan penetapan harga. Selama ini, keputusan masih dilakukan secara konvensional berdasarkan pengalaman, sehingga berpotensi menimbulkan overstock maupun stockout. Penelitian ini bertujuan untuk membangun model prediksi penjualan dengan menerapkan teknik Data Mining menggunakan metode Regresi Linier Berganda guna menganalisis pengaruh variabel stok dan harga terhadap penjualan. Metodologi penelitian meliputi pengumpulan data historis, analisis perhitungan regresi, perancangan sistem berbasis web menggunakan PHP dan MySQL, serta pengujian sistem dengan metode Black Box. Hasil penelitian menunjukkan bahwa model yang dibangun mampu menghasilkan estimasi penjualan berdasarkan variabel stok dan harga secara lebih terukur dan sistematis. Implementasi sistem ini dapat membantu manajemen toko dalam merencanakan jumlah persediaan dan strategi harga secara lebih efisien, sehingga meningkatkan efektivitas pengelolaan bisnis dan daya saing perusahaan.
Kata kunci: data mining; prediksi penjualan; regresi linier berganda; sistem berbasis web; PHP
Abstract:Abstrak: The selection of housing is a critical decision that involves the consideration of multiple criteria objectively. In Kisaran City, the rapid growth of the property sector has led to a wide variety of housing options,…
ions, each with distinct characteristics, making it difficult for potential buyers to determine the most suitable choice. This study aims to apply the Weighted Aggregated Sum Product Assessment (WASPAS) method to support the decision-making process for selecting the best housing based on five main criteria: location, price, security, public facilities, and environment. Each criterion is analyzed quantitatively through the assignment of weights and scores to each housing alternative. The WASPAS method generates a final ranking, where the alternative with the highest score is considered the optimal choice. The results show that the WASPAS method is effective in simplifying the multi-criteria decision-making process and provides accurate and rational recommendations for selecting housing that best meets the needs of the community. This study is expected to serve as a reference for prospective buyers and property developers in planning and marketing strategies.
Keywords: waspas; housing selection; kisaran city; decision support system; multi-criteria decision-making.
Abstrack: Pemilihan perumahan merupakan keputusan penting yang memerlukan pertimbangan berbagai kriteria secara objektif. Di Kota Kisaran, pertumbuhan pesat di sektor properti menghadirkan beragam pilihan perumahan dengan karakteristik yang berbeda, sehingga calon pembeli sering kali kesulitan dalam menentukan pilihan yang paling sesuai. Penelitian ini bertujuan untuk menerapkan metode Weighted Aggregated Sum Product Assessment (WASPAS) dalam membantu proses pengambilan keputusan pemilihan perumahan terbaik berdasarkan lima kriteria utama, yaitu lokasi, harga, keamanan, fasilitas umum, dan lingkungan. Setiap kriteria dianalisis menggunakan pendekatan kuantitatif dengan pemberian bobot dan penilaian terhadap masing-masing alternatif perumahan. Hasil dari metode WASPAS menghasilkan peringkat akhir dari alternatif perumahan yang dianalisis, di mana alternatif dengan nilai tertinggi dianggap sebagai pilihan terbaik. Penelitian ini menunjukkan bahwa metode WASPAS efektif dalam menyederhanakan proses pengambilan keputusan multikriteria dan memberikan hasil yang akurat dan rasional dalam memilih perumahan yang paling sesuai dengan kebutuhan masyarakat. Temuan ini diharapkan dapat menjadi referensi bagi calon pembeli maupun pengembang dalam perencanaan dan strategi pemasaran properti.
Kata Kunci: waspas; pemilihan perumahan; kota kisaran; sistem pendukung keputusan; multikriteria
Abstract:Abstract: Managing fast-moving drug inventory requires accurate supplier selection to ensure product availability and minimize the risk of overstock and out-of-stock conditions. At Annisa Pharmacy, the supplier selection…
process has traditionally relied on experience and subjective judgment, which may lead to less optimal decisions. This study aims to design and implement a Decision Support System (DSS) for selecting fast-moving drug suppliers using the Weighted Product (WP) method. The WP method is applied because it is capable of processing multiple criteria simultaneously through structured weighting, including demand frequency, delivery lead time, remaining shelf life, purchase price, and profit margin. The system is developed as a web-based application using PHP and MySQL. The results show that the implementation of the Weighted Product method successfully produces preference values and accurate supplier rankings, enabling the system to correctly determine the most optimal fast-moving drug supplier based on the defined criteria. Therefore, the developed system can assist the owner of Annisa Pharmacy in making more precise, objective, and structured inventory procurement decisions.
Keywords: decision support system; drug inventory; supplier selection; weighted product.
Abstrak: Pengelolaan stok obat fast moving di Toko Obat Annisa memerlukan ketepatan dalam menentukan supplier agar ketersediaan obat tetap terjaga dan risiko overstock maupun out of stock dapat diminimalkan. Selama ini, proses pemilihan supplier masih dilakukan secara konvensional berdasarkan pengalaman, sehingga berpotensi menghasilkan keputusan yang kurang optimal. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) pemilihan supplier obat fast moving menggunakan metode Weighted Product (WP). Metode WP digunakan karena mampu mengolah beberapa kriteria secara simultan melalui pembobotan yang terstruktur, meliputi frekuensi permintaan, lead time, sisa masa kedaluwarsa, harga beli, dan margin keuntungan. Sistem dikembangkan berbasis web menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian menunjukkan bahwa penerapan metode Weighted Product mampu menghasilkan nilai preferensi dan perankingan supplier secara objektif, sehingga sistem berhasil menentukan supplier obat fast moving yang paling optimal sesuai dengan kriteria yang telah ditetapkan. Dengan demikian, sistem yang dibangun dapat membantu pemilik Toko Obat Annisa dalam mengambil keputusan pengadaan stok obat secara lebih tepat, objektif, dan terstruktur.
Kata kunci: sistem pendukung keputusan; toko obat; pemilihan pemasok; weighted product
Abstract:Abstract: This research is motivated by the problem of building material inventory management at Jaqfar Building Store, which is still done manually and based on subjective estimates. This often results in inaccuracies in…
n determining stock levels, either in the form of overstock or understock, which hinders operational effectiveness. The purpose of this study is to apply the Multiple Linear Regression method to analyze the relationship between incoming stock (X1) and outgoing stock (X2) variables with the ending stock variable (Y) to produce an optimal inventory prediction model. The research methodology used includes collecting historical transaction data for building materials such as cement, ceramics, zinc, plywood, and iron. This web-based prediction system was developed using the PHP programming language and a MySQL database. The analysis results show that the resulting regression model can provide a mathematical picture of future inventory patterns based on historical data. Implementation of this system is expected to assist the management of Jaqfar Building Materials Store in making strategic decisions regarding purchasing and sales in a more measured and efficient manner.
Keyword: building materials; data mining; inventory; multiple linear regression
Abstrak: Penelitian ini dilatarbelakangi oleh permasalahan pengelolaan persediaan bahan bangunan di Toko Bangunan Jaqfar yang masih dilakukan secara manual dan berdasarkan perkiraan subjektif. Hal ini menyebabkan sering terjadinya ketidaktepatan dalam menentukan jumlah stok, baik berupa kelebihan barang (overstock) maupun kekurangan barang (understock) yang menghambat efektivitas operasional. Tujuan dari penelitian ini adalah menerapkan metode Multiple Linear Regression (Regresi Linear Berganda) untuk menganalisis hubungan antara variabel stok masuk (X1) dan stok keluar (X2) terhadap variabel stok akhir (Y) guna menghasilkan model prediksi persediaan yang optimal. Metodologi penelitian yang digunakan mencakup pengumpulan data historis transaksi bahan bangunan seperti semen, keramik, seng, triplek, dan besi. Sistem prediksi ini dikembangkan berbasis web menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil analisis menunjukkan bahwa model regresi yang dihasilkan mampu memberikan gambaran matematis mengenai pola persediaan di masa mendatang berdasarkan data historis. Implementasi sistem ini diharapkan dapat membantu manajemen Toko Bangunan Jaqfar dalam mengambil keputusan strategis terkait pembelian dan penjualan secara lebih terukur serta efisien.
Kata kunci: bahan bangunan; data mining; persediaan; regresi linear berganda