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Pengaruh Emotional Intelligence, Disiplin Kerja, dan Job Commitment Terhadap Produktivitas Kerja Pegawai DP3AP2KB Kota Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 4
(2025)
This study aims to analyze the influence of emotional intelligence, work discipline, and job commitment on employee productivity at DP3AP2KB Kota Kediri. The research employed a quantitative approach with a population of 45 employees, all of whom were included as the sample using a saturated sampling technique. The research instrument was a five-point Likert-scale questionnaire tested for validity and reliability. Data were analyzed using multiple linear regression with the aid of SPSS version 2...
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The Role of High Pressure Processing in Maintaining Microbiological Safety and Flavor of Fresh and Minimally Processed Foods: A Mini Review
Prayitno, Citra Pratiwi
; Defira, Citra
; Ichsan, Onne Akbar Nur
; Sujatmiko, Harumi
; Saputra, Doris
; Lestari, Windi
; Aldoni, M.
Journal of Food and Agricultural Product
Vol 5
, No 2
(2025)
The microbiological safety of fresh food products is a crucial challenge in the food industry, mainly due to the high prevalence of pathogenic microorganisms such as Salmonella spp., Escherichia coli, and Listeria monocytogenes. At the same time, there is an increase in consumer demand for fresh products with optimal organoleptic and natural nutritional qualities. High-Pressure Processing (HPP), as a non-thermal processing technology, offers an innovative solution to these problems. This mini re...
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APPLICATION OF ECOLITERACY IN IMPROVING STUDENTS' GREEN BEHAVIOR IN ELEMENTARY SCHOOLS
Nugroho, Bayu Sapto
; Sumardjoko, Bambang
; Desstya, Anatri
; Rahmawati, Laili Etika
; Widyasari, Choiriyah
Dikdas Bantara
Vol 8
, No 2
(2025)
The implementation of ecoliteracy in elementary schools is an important strategy in shaping students' green behavior from an early age as part of character education and ecological awareness. This study aims to describe the application of ecoliteracy in improving students' green behavior at SD Negeri Gumpang 01, a school that has won the Adiwiyata School award at the Central Java Province level. The method used was descriptive qualitative research with a naturalistic approach, involving the prin...
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THE EFFECT OF PROJECT-BASED LEARNING (PJBL) BASED ON ETHNOMATHEMATICS ON THE NUMERACY LITERACY ABILITY OF STUDENTS AT ELEMENTARY SCHOOL PATUK II GUNUNGKIDUL, YOGYAKARTA
Dikdas Bantara
Vol 8
, No 2
(2025)
This study aims to determine the effect of the ethnomathematics-based PJBL learning model on improving students' numeracy literacy skills in reading and writing numbers at Patuk II Public Elementary School, Gunungkidul. This research was motivated by students' low numeracy literacy skills, characterized by difficulty understanding basic mathematical concepts and low interest in learning. The research method used was quantitative with a one- group pretest-posttest design. The study sample involve...
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Mengembangkan Kesadaran Digital Sehat Pada Siswa Sekolah Dasar Melalui Pemberdayaan Sosialisasi Etika Bermedia Sosial
Gunadharma, Aditya
; Anjelina, Anjelina
; Prasetyo, Dahlan
; Hapsari, Elok Fadinda
; Mukaromah, Eti Faidatul
; Amalina, Fafa Nurul
; Nisa, Ilma Nazihatun
; Setianingsih, Lilis
; Puspitasari, Melani Indah
; Jumani, Nurul Putri Azkiyyah
; Setyamien, Salsabila Khairunisa
; Subekti, Sigit Waris
; Al Islami, Teuku Mohammad Daffa
; Rizqy, Wafa Maulana
; Futri, Widya Aqilla
; Ma`summah, Siti
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 4
, No 2
(2025)
This community service activity aims to enhance elementary school students’ awareness of healthy digital behavior through the socialization of social media ethics and responsible internet use. The method applied was Participatory Action Research (PAR), involving students, teachers, and school stakeholders in an active, collaborative learning process. The program took place at MI Muhammadiyah, Pagentan District, on August 16, 2025, for three hours, including material presentation, case simulation...
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Pengaruh Environmental, Social, and Governance (ESG) Disclosure dan Volatilitas Harga Energi Terhadap Return Saham Pada Perusahaan Sektor Energi di BEI
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 4
(2025)
This study aims to examine the effect of Environmental, Social, and Governance (ESG) disclosure and energy price volatility on stock returns of energy sector companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2024 period. A quantitative approach was employed using multiple linear regression as the analytical method. The sample consisted of 10 energy companies selected through purposive sampling, based on the availability of sustainability reports, stock price data, and resear...
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Pengaruh Work Family Conflict, Stres Kerja dan Kompensasi Terhadap Kinerja Karyawan di PT Nusa Gas Pratiwi
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 4
(2025)
This study aims to analyze the influence of work-family conflict, job stress, and compensation on employee performance at PT Nusa Gas Pratiwi. A quantitative approach with a survey method was employed, and data were collected through questionnaires distributed to 35 permanent employees. The data were analyzed using multiple linear regression with SPSS software. The results indicate that work-family conflict, job stress, and compensation have a positive and significant effect on employee performa...
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Penerapan metode radial basis function neural network dalam memprediksi curah hujan
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 2
(2025)
North Tapanuli Regency is highly vulnerable to natural disasters such as floods and landslides due to high rainfall intensity and complex geographical conditions. To anticipate these risks, this study aims to predict rainfall using the Radial Basis Function Neural Network (RBFNN) method. The number of nodes in the input layerwas determined based on significant lags identified in the Partial Autocorrelation Function (PACF) plot. The hidden layerwas constructed using the K-Means clustering method...
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Implementasi Algoritma K-Nearest Neighbor Dalam Prediksi Penyakit Jantung
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Heart failure is a serious and pressing health problem that affects millions of people worldwide. Several factors influence the occurrence of heart failure, such as age, type of pain, blood pressure, cholesterol levels, and other risk factors associated with heart disease. With current technological developments, data mining and machine learning can be used to predict patient health conditions. Therefore, the problem of this research is how to implement data mining techniques for identifying hea...
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Comparative Analysis of Classification Models for Competencies Certification: A Data Mining Approach
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
This study elaborates the application of various machine learning (ML) algorithm models to identify the classification of employee competency to take the competency certification needed to support the work. The goal is to choose the best ML model to improve accuracy, scalability, and fairness. The algorithms to be tested in this study are Logistic Regression, SVM, KNN, and Naive Bayes as traditional algorithms with Random Forest as an ensemble algorithm. This study took data from 13,830 employee...
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