Abstract:Work motivation is a state or situation that cause a person to continue to improve, direct, and sustain his behavior both directly and indirectly with his work environment. This study aimed to determined the relationship…
of work motivation to nurse performance.This is quantitative research with a cross sectional approach, the population was 103 nurses in inpatient room and the sample was 51 nurse data collection techniques used questionnaires. The result showed that the variable of appreciation acquired (0.007), work itself (0.034) and job promotion (0.035) had a link with nursing performance. While the responsibility variable of received a value (0.891) the appreciation, work, and job promotion have a relationship with nurse performance, whereas responsibility have no relationship with nurse performance. Write an abstract content of about 250 words, covering the background of the problem, problem statements, conclusions, and the novelty of the scientific work. Abstract is only written in one paragraph.
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 study aims to determine the effect of intrapreneurship and organization on the financial performance of MSMEs (Micro, Small And Medium) in Denpasar City. This study uses a qualitative method. The MSME population in…
Denpasar City reached 32,476 MSMEs and the sample used was 100 MSMEs in Denpasar city. This study uses data collection techniques by distributing questionnaires. Validity and reliability tests were carried out on respondents who owned MSMEs in Denpasar City. The results of the t test can be obtained t-count of the Intrapreneurship variable of 1.231 with a significance value of 0.221. This significance value is greater than the significance limit value, which is equal to 0.05. Means that Intrapreneurship has a positive and insignificant effect on Financial Performance. The results of the t test can be obtained by the t-count value of the Organizational variable of 5.052 with a significance value of 0.000. This significance value is smaller than the significance limit value, which is equal to 0.05. Means the organization has a positive and significant effect on financial performance. Based on the results of the F test, the F value is 20.324 with a significance level of 0.000, so simultaneously the Intrapreneurship and Organization variables have a significant effect on the Financial Performance variable. As well as from the test results of the coefficient of determination, the R Square value shows a value of 0.295 or 29.5% indicating that the ability of the independent variable to explain the effect on the dependent variable and the remaining 70.5% can be explained by other variables outside of the research variable.
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: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:Penelitian ini mengkaji bentuk-bentuk kesalahan beserta faktor penyebabnya yang dialami siswa kelas VIII SMP ketika mengidentifikasi sisi, rusuk, dan titik sudut pada bangun kubus. Desain kualitatif deskriptif dipilih agar…
ar respons siswa dapat ditelaah secara mendalam tanpa adanya perlakuan atau manipulasi terhadap variabel penelitian. Sebanyak 30 siswa kelas VIII dijadikan subjek melalui teknik purposive sampling, dan 6 di antaranya dipilih untuk sesi wawancara semi terstruktur yang mewakili tiga tingkat kemampuan akademik, yaitu tinggi, sedang, dan rendah. Pengumpulan data dilakukan melalui tes diagnostik tertulis, wawancara yang direkam, dan dokumentasi. Analisis data mengacu pada model interaktif Miles dan Huberman yang terdiri atas reduksi data, penyajian data, dan penarikan kesimpulan, dengan triangulasi metode untuk menjaga keterpercayaan temuan. Hasil penelitian menunjukkan bahwa 46,67% siswa melakukan setidaknya satu kesalahan dalam mengidentifikasi sisi kubus, 63,33% siswa melakukan kesalahan terkait rusuk, dan 36,67% siswa mengalami kesulitan dalam mengidentifikasi titik sudut secara tepat. Tiga kategori kesalahan yang dominan teridentifikasi, yaitu kesalahan konsep berupa kekeliruan mengidentifikasi unsur geometris, kesalahan visualisasi yang berkaitan dengan kesalahan membaca representasi tiga dimensi, dan kesalahan prosedural dalam menghitung komponen geometris secara sistematis. Faktor penyebab meliputi dimensi internal, terutama lemahnya pemahaman konsep dan rendahnya kemampuan penalaran spasial, serta dimensi eksternal seperti minimnya media pembelajaran dan dominasi strategi mengajar berbasis ceramah. Temuan ini menegaskan perlunya pendekatan pembelajaran geometri bangun ruang yang lebih eksploratif, konstruktivis, dan berbasis media di jenjang SMP.
This study investigates the types and underlying causes of errors made by eighth-grade junior high school students when identifying the faces, edges, and vertices of a cube. A qualitative descriptive research design was employed to examine students' responses in depth without manipulating any research variables. Thirty students from the eighth grade were selected through purposive sampling, and six of them participated in semi-structured interview sessions representing three levels of academic ability: high, moderate, and low. Data were gathered using written diagnostic tests, audio-recorded interviews, and documentation. Analysis followed the interactive model proposed by Miles and Huberman, encompassing data reduction, data display, and conclusion drawing, with methodological triangulation applied to ensure the trustworthiness of findings. Results indicated that 46.67% of students committed at least one error in identifying cube faces, 63.33% made errors related to edges, and 36.67% had difficulty identifying vertices correctly. Three dominant error categories were identified: conceptual errors, visualization errors, and procedural errors. Causal factors encompassed internal dimensions, particularly weak conceptual understanding and limited spatial reasoning ability, and external dimensions, including insufficient instructional media and lecture-based teaching strategies.
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:Abstract: Household waste management in Waru Village is still dominated by conventional practices without sorting, so it has the potential to cause environmental problems and has not been used as a source of economic value.…
ue. This community service activity aims to optimize waste banks as an instrument for implementing the circular economy at the household level. The method used is a participatory approach with a quantitative descriptive design through socialization, training, and mentoring to farmer group mothers, as well as evaluation using pre-test and post-test questionnaires. The results of the activity showed an increase in community capacity in all variables measured, with an average score increasing from 3.67 to 4.19 or by 14.2%. The highest increase occurred in the aspect of perception and impact of the program, while behavior changes showed a tendency to increase gradually. In addition, this activity also encouraged the formation of more structured waste bank management at the group level. These findings show that participatory approaches are effective in driving changes in waste management understanding and practices, as well as supporting the implementation of a household-based circular economy.
Keywords: waste banks; waru villages; circular economy; community service; waste management
Abstrak: Pengelolaan sampah rumah tangga di Desa Waru masih didominasi oleh praktik konvensional tanpa pemilahan, sehingga berpotensi menimbulkan permasalahan lingkungan sekaligus belum dimanfaatkan sebagai sumber nilai ekonomi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengoptimalkan bank sampah sebagai instrumen penerapan ekonomi sirkular di tingkat rumah tangga. Metode yang digunakan adalah pendekatan partisipatif dengan desain deskriptif kuantitatif melalui sosialisasi, pelatihan, dan pendampingan kepada ibu-ibu kelompok tani, serta evaluasi menggunakan kuesioner pre-test dan post-test. Hasil kegiatan menunjukkan adanya peningkatan kapasitas masyarakat pada seluruh variabel yang diukur, dengan rata-rata skor meningkat dari 3,67 menjadi 4,19 atau sebesar 14,2%. Peningkatan tertinggi terjadi pada aspek persepsi dan dampak program, sementara perubahan perilaku menunjukkan kecenderungan meningkat secara bertahap. Selain itu, kegiatan ini juga mendorong terbentuknya pengelolaan bank sampah yang lebih terstruktur di tingkat kelompok. Hasil ini menunjukkan bahwa pendekatan partisipatif efektif untuk tranformasi perilaku dalam mendorong perubahan pemahaman dan praktik pengelolaan sampah, serta mendukung penerapan ekonomi sirkular berbasis rumah tangga.
Kata kunci: bank sampah; desa waru; ekonomi sirkular; pengabdian masyarakat; pengelolaan sampah
Abstract:Abstract: Student graduation is an urgent matter that is an indicator of the success of a university in producing its learning output. Several factors influence student graduation such as GPA, attendance, late taking credits,…
dits, and lack of student involvement in academic activities. The urgency of this research, universities need a method that is able to predict student graduation early so that it can provide academic intervention to students who have the potential to experience delays or fail to graduate. However, limited access to real academic data is often an obstacle in the development of predictive models, Therefore, this study aims to implement the XGBoost algorithm to predict student graduation based on several academic variables, namely the Cumulative Grade Point Average (GPA), the number of credits taken, the percentage of attendance, and the average grade of students. Model training using the XGBoost algorithm using a simulation dataset of 500 students who are labeled as graduating into two classes, namely passed and failed. The results of the study showed that the classification performance was very good with an accuracy value of 99.6%, Precision 99.7%, recall 99.4%.
Keywords: xgboost algorithm; data mining; student graduation
Abstrak: Kelulusan mahasiswa merupakan hal urgensi yang menjadi indikator keberhasilan sebuah perguruan tinggi dalam menghasilkan output pembelajarannya. Beberapa Faktor yang mempengaruhi kelulusan mahasiswa seperti IPK, kehadiran, keterlambatan pengambilan SKS, serta kurangnya keterlibatan mahasiswa dalam aktifitas akademik. Yang menjadi urgensi penelitian ini, Perguruan tinggi memerlukan suatu metode yang mampu memprediksi kelulusan mahasiswa secara dini sehingga dapat memberikan intervensi akademik kepada mahasiswa yang berpotensi mengalami keterlambatan atau tidak lulus. Namun, keterbatasan akses terhadap data akademik riil sering menjadi kendala dalam pengembangan model prediksi, Oleh karena itu, penelitian ini bertujuan mengimplementasikan algoritma XGBoost untuk memprediksi kelulusan mahasiswa berdasarkan beberapa variabel akademik, yaitu Indeks Prestasi Kumulatif (IPK), jumlah SKS yang ditempuh, persentase kehadiran, dan nilai rata-rata mahasiswa. Pelatihan model menggunakan algoritma XGBoost dengan menggunakan dataset simulasi 500 mahasiswa yang diberi label kelulusan menjadi dua kelas yaitu lulus dan tidak lulus. Hasil penelitian menunjukan bahwa performance klasifikasi yang sangat baik dengan nilai accurasi sebesar 99,6%, Precision 99,7%, recall 99,4%.
Kata kunci: algoritma xgbosst; kelulusan mahasiswa; penambangan data
Abstract:Abstract: Accurate forecasts of tea harvest production are important for workforce planning, factory operations, and marketing decisions, yet conventional estimation in plantations often relies on field experience and can…
n be biased and less adaptive to changing conditions. This study aims to develop a Random Forest Regression model to predict tea harvest production at the Bah Butong tea plantation using historical operational and climate-related data. The dataset consists of 60 monthly records (2020–2024) with six predictor variables: rainfall (mm), number of rainy days, pest level, weed level, number of harvested trees and land area. Data were split into 80% training (48 samples) and 20% testing (12 samples). Model hyperparameters were optimized using RandomizedSearchCV with RepeatedKFold cross-validation (5 folds, 3 repeats). The tuned model achieved MSE of 668,980,524.45, RMSE of 25,864.66 kg, MAE of 19,838.69 kg, and MAPE of 7.59% on the test set. The results indicate that the model can provide practical production estimates, with errors averaging about 7–8% of the actual production. Feature importance analysis shows that the number of harvested tea bushes and cultivated area contribute most to predictions. Future work should extend the historical period and incorporate time-based features (seasonality/lag) for improved forecasting.
Keywords: hyperparameter tuning; production prediction; random forest; regression; tea harvest
Abstrak: Perkiraan akurat produksi panen teh sangat penting untuk perencanaan tenaga kerja, operasional pabrik, dan keputusan pemasaran, namun estimasi konvensional di perkebunan seringkali bergantung pada pengalaman lapangan dan dapat bias serta kurang adaptif terhadap perubahan kondisi. Studi ini bertujuan untuk mengembangkan model Regresi Random Forest untuk memprediksi produksi panen teh di perkebunan teh Bah Butong menggunakan data operasional dan data terkait iklim historis. Dataset terdiri dari 60 catatan bulanan (2020–2024) dengan enam variabel prediktor: curah hujan (mm), jumlah hari hujan, tingkat hama, tingkat gulma, jumlah pokok panen, dan luas lahan. Data dibagi menjadi 80% data pelatihan (48 sampel) dan 20% data pengujian (12 sampel). Parameter model dioptimalkan menggunakan RandomizedSearchCV dengan validasi silang RepeatedKFold (5 lipatan, 3 pengulangan). Model yang telah disempurnakan mencapai MSE sebesar 668.980.524,45, RMSE sebesar 25.864,66 kg, MAE sebesar 19.838,69 kg, dan MAPE sebesar 7,59% pada set data uji. Hasil tersebut menunjukkan bahwa model dapat memberikan estimasi produksi yang praktis, dengan kesalahan rata-rata sekitar 7–8% dari produksi aktual. Analisis kepentingan fitur menunjukkan bahwa jumlah semak teh yang dipanen dan luas lahan budidaya paling berkontribusi pada prediksi. Pekerjaan selanjutnya harus memperpanjang periode historis dan menggabungkan fitur berbasis waktu (musiman/lag) untuk peramalan yang lebih baik.
Kata kunci: panen teh; prediksi produksi; random forest; regresi; tuning parameter