Articles
The Influence of Financial Literacy and Financial Behavior on Financial Well-being Moderated by Family Economic Education
Aliffansyah, Dhani;
Sudarno;
Sabandi, Muhammad
Economic Education Analysis Journal Vol. 13 No. 3 (2024): Economic Education Analysis Journal
Publisher : Universitas Negeri Semarang
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DOI: 10.15294/dykkaa86
This study aims to (1) the effect of financial literacy on financial well-being of UNS students; (2) the effect of financial behavior on financial well-being of UNS students; (3) the effect of family economics education in strengthening financial literacy and financial behavior on financial well-being of UNS students. This research was quantitative research with a population of UNS students. This study used 269 samples by using probably sampling technique. The data collection technique was used a Likert scale of 1-5 points and a dummy variable which was distributed directly via the Google form. Test the validity of the instrument using Confirmatory Factor Analysis (CFA) and test the reliability using Cronbach Alpha. The research hypothesis was tested using Moderated Regression Analysis (MRA) after descriptive statistical tests and analysis prerequisite tests were carried out and processed with SPSS 24 software. This study gave the results that (1) there was a positive and significant effect of financial literacy on the financial well-being of UNS students; (2) there was a positive and significant influence of financial behavior on financial well-being of UNS students; (3) family economic education moderates the relationship between financial literacy and financial behavior on the financial well-being of UNS students.
Pengaruh Literasi Keuangan dan Perilaku Keuangan Terhadap Minat Berinvestasi Mahasiswa Pendidikan Ekonomi UNS
Andriani, Hania;
Kristiani;
Sudarno
Jurnal Publikasi Ekonomi dan Akuntansi Vol. 4 No. 1 (2024): Januari: Jurnal Publikasi Ekonomi dan Akuntansi
Publisher : Pusat Riset dan Inovasi Nasional
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DOI: 10.51903/jupea.v4i1.2101
This study aims to identify (1) the effect of financial literacy on the interest in investment of students in the UNS Economics Education Study Program, (2) the effect of financial behavior on the interest in investment of students in the UNS Economics Education Study Program, (3) the effect of financial literacy and financial behavior on the interest in investment of students in the UNS Economics Education study program. This research is a quantitative research method with a population of 165 students in the UNS Economics Education Study Program batches of 2019 and 2020. The sampling technique used was proportionate random sampling with the data collection method using a questionnaires and the data analysis used was multiple linear regression analysis. The results of this study indicate that (1) there is a positive and significant influence of financial literacy on the interest in investment of students in the UNS Economic Education study program. (2) there is a positive and significant influence of financial behavior on the interest in investment of students in the UNS Economic Education study program. (3) there is a positive and significant influence of financial literacy and financial behavior on the interest in investment of students in the UNS Economic Education study program.
PENGARUH LITERASI DIGITAL DAN SOFT SKILL TERHADAP KESIAPAN KERJA MAHASISWA PENDIDIKAN EKONOMI UNIVERSITAS SEBELAS MARET SURAKARTA
Dian Muliasari;
Sudarno;
Dini Octoria
OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Vol 9 No 1 (2024): OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan
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This study aims to determine the influence of digital literacy and soft skills on the work readiness of Economics Education students. This research is a quantitative descriptive research with a population of 177 students. The sampling technique used in this research was proportionate random sampling which resulted in a sample of 130 student respondents. Data collection is carried out through questionnaires or questionnaires which are distributed via a google form link. The data analysis used is multiple linear regression analysis with SPSS. The results shown from this research are: First, digital literacy has a positive effect on the work readiness of UNS Economics Education Students. Second, soft skills have a positive effect on the work readiness of UNS Economics Education Students. Third, digital literacy and soft skills simultaneously have a positive effect on the work readiness of UNS Economics Education Students. Key words: digital literacy, soft skills, work readiness
ANALISIS KOMPARATIF PRESTASI BELAJAR KELOMPOK PENERIMA KIP-K DAN REGULER PADA MAHASISWA PENDIDIKAN EKONOMI FKIP UNS
Nur Rohmah;
Sudarno;
Feri Setyowibowo
OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Vol 9 No 1 (2024): OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan
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The purpose of this study was to gain an understanding of the differences between the learning achievement of groups that received KIP-K and those who did not and to identify the effect of interest in learning, achievement motivation, intelligence, family, and environment on student achievement. This study is a comparative study using quantitative methods involving 286 students as a population and 166 students as a sample from the FKIP UNS Economics Education study program. The purposive sampling method was used to select the sample. A Likert scale questionnaire was used as a data collection tool, and chi-square analysis was used to analyze the data. The research findings show that there is a significant difference in learning achievement between KIP-K recipients and regular groups with Sig. (2-tailed) of 0.000 < 0.05. Learning interest has a significant effect on regular group learning achievement with Asymptote scores. Sig (2-sided) of 0.022 < 0.05. Meanwhile, achievement motivation had a significant effect on the learning achievement of the KIP-K recipient group with an Asymptote value. Sig (2-sided) of 0.019 < 0.05. Meanwhile, intelligence, family, and environmental factors did not significantly affect the learning achievement of the KIP-K and regular recipient groups, as seen from the Asymp scores. Sig (2-sided) > 0.05.
Conceptual Model of Leadership Style, Work Environment and Compensation on Job Satisfaction and Teacher Performance
Nyoto;
Sudarno;
Sriadmitum, Ike;
Renaldo, Nicholas;
Hutahuruk, Marice Br
Interconnection: An Economic Perspective Horizon Vol. 1 No. 1 (2023): Interconnection: An Economic Perspective Horizon
Publisher : First Ciera Publisher
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DOI: 10.61230/interconnection.v1i1.3
This study aims to analyze the determination of the leadership style of the work environment and compensation on job satisfaction and performance of public high school teachers in Tandun and Ujung Batu sub-districts. The motivation for this research is to form a research model in the field of education, especially teacher satisfaction and performance. This research is quantitative research by distributing questionnaires to respondents. The population in this study were all public high school teachers in Tandun and Ujung Batu sub-districts. The sample selection technique uses the census method. The sample in this study amounted to 90 respondents. Data analysis techniques use the Smart PLS application. The conclusion of this study is that the conceptual model can be used to test the model of job satisfaction and teacher performance. Recommendations for subsequent research are to use the conceptual model that has been made and test the hypothesis on current research objects and other research objects.
K-ALLY BASED DYNAMIC FUZZY CLUSTERING FOR GEOPOLITICAL ALLIANCE ANALYSIS: A CASE STUDY INSPIRED BY THE RUSSIAN-UKRAINIAN CONFLICT
Munirah;
Alwi, Aslan;
Sudarno;
Triyanto, Andy
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2025.6.1.907
Geopolitical alliances are often based on a combination of factors such as geographic proximity, military strength, and strategic interests. In this research, we introduce the K-Ally algorithm based on Dynamic Fuzzy Clustering to dynamically analyze alliance patterns between countries. Using fuzzy logic and adaptive thresholds, this algorithm evaluates the potential benefits of alliances based on key attributes, such as geographic distance and power differences. This study is inspired by the allied dynamics that emerged in the Russian-Ukrainian war, where changes in strategy and international relations were key to the continuation of the conflict. The paper also compare this algorithm with the K-Means method commonly used in geopolitical data analysis. Experimental results show that K-Ally based on Dynamic Fuzzy Clustering is able to capture alliance dynamics better than K-Means, especially in conditions of uncertainty or attribute imbalance between countries. This research contributes to the development of new analytical tools for the study of geopolitics and international conflict.
Analisis Sentimen Pelayanan Publik Pada Imigrasi Dengan Metode Algoritma Neural Network, K-Nearest Neighbor (K-NN) Dan Naive Bayes
Priyatna, Agus;
Sudarno
urn:multiple://2988-7828multiple.v3i39
Publisher : Institute of Educational, Research, and Community Service
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Pelayanan publik merupakan salah satu aspek penting dari penyelenggaraan pemerintahan karena dapat mempengaruhi kepuasan masyarakat dan reputasi pemerintah. Penelitian ini bertujuan untuk menganalisis pola dan tren keluhan masyarakat terhadap layanan publik Imigrasi di Kementerian Hukum dan Hak Asasi Manusia Republik Indonesia melalui data media sosial X. Selain itu, penelitian ini juga mengukur efektivitas algoritma Neural Network, k-NN, dan Naive Bayes dalam mengklasifikasikan sentimen positif, negatif dan netral pada komentar terkait layanan publik tersebut. Penelitian dilakukan dengan menggunakan sejumlah 1948 untuk data latih dan 595 untuk data uji. Metodologi data mining yang digunakan yaitu CRISP-DM dengan melakukan preprocessing untuk menghilangkan karakter yang tidak diperlukan. Untuk merepresentasikan dokumen ke dalam bentuk numerik dilakukan pembobotan TF-IDF. Pemodelan menggunakan perangkat lunak Orange Data Minning. Pengujian dilakukan menggunakan confusion matrix untuk mendapatkan nilai akurasi dan presisi. Hasil terbaik yang di dapat pada analisis sentimen layanan imigrasi adalah algoritma Neural Network dengan memberikan nilai akurasi rata-rata sebesar 71,8%. Pada kasus ini Neural Network konsisten memberikan performa terbaik untuk kelas "negatif" dan "netral". Hasil dari penelitian ini diharapkan dapat memberikan rekomendasi untuk meningkatkan kualitas pelayanan publik Imigrasi serta pengambilan kebijakan yang lebih efektif berdasarkan hasil analisis sentimen.
ANALISA PENGARUH VARIASI DILUTION SOLUBLE OIL DAN FEEDING TERHADAP KEKASARAN PERMUKAAN BAJA KARBON RENDAH (ST37) DENGAN PROSES PEMBUBUTAN TURNING
Baliningtyas, Nadia Selva;
Sudarno;
Agusti, Nur Dana Candra;
Sutrisno;
Pambudi, Feta Kukuh
Conference on Innovation and Application of Science and Technology (CIASTECH) Vol. 7 No. 1 (2024): CIASTECH 2024 Potensi dan Dampak Artificial Intelligence (AI) di Era Society 5.
Publisher : Universitas Widyagama Malang
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DOI: 10.31328/ciastech.v7i1.6942
Terdapat beberapa proses dalam industri manufaktur, salah satunya adalah proses pemesinan bubut yang digunakan di berbagai bidang. Beberapa faktor dapat mempengaruhi spesimen dari proses pembubutan, termasuk pendinginan dan pemakanan. Dalam penelitian ini, spesimen dibuat menggunakan proses pembubutan yang diberi perlakuan pemesinan berupa variasi konsentrasi pengenceran minyak terlarut dan pemakanan yang berbeda. Kemudian dianalisis dengan metode ANOVA dua arah untuk mengetahui pengaruh variabel pengenceran minyak terlarut dan pemakanan terhadap kekasaran permukaan ST37. Analisis menggunakan ANOVA, diberikan nilai signifikansi (Sig.) masing-masing variabel sebesar 0,00. Jadi dari nilai-nilai tersebut dapat disimpulkan bahwa variabel pengenceran minyak terlarut dan pemakanan berinteraksi terhadap kekasaran permukaan spesimen. Hasil penelitian menunjukkan bahwa semakin tinggi kecepatan pemakanan maka nilai kekasaran juga semakin tinggi, sedangkan semakin kental konsentrasi pengenceran minyak terlarut akan menurunkan nilai kekasaran. Nilai kekasaran permukaan terendah terjadi saat pengumpanan 0,07 mm/rev dan konsentrasi pengenceran minyak terlarut 1:10 dengan Ra 3,12 µm. Nilai kekasaran permukaan tertinggi terjadi saat menggunakan pengumpanan 0,11 mm/rev dan konsentrasi pengenceran minyak terlarut 1:50 dengan Ra 7,21 µm.
PENGARUH BERAT ROLLER TERHADAP RASIO TRANSMISI CVT DAN TORSI VARIO 150 CC
Setiyawan, Puri;
Sutrisno;
Sudarno
Conference on Innovation and Application of Science and Technology (CIASTECH) Vol. 7 No. 1 (2024): CIASTECH 2024 Potensi dan Dampak Artificial Intelligence (AI) di Era Society 5.
Publisher : Universitas Widyagama Malang
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DOI: 10.31328/ciastech.v7i1.6943
Kinerja sebuah CVT (Continuously Variable Transmission) sangat tergantung pada roller, hal ini dikarenakan roller mempengaruhi perbedaan variasi puli primer dan puli sekunder. Roller CVT memiliki beberapa jenis varian bobot. Tujuan dari penelitian ini adalah untuk mengetahui perbedaan berat roller terhadap rasio transmisi CVT dan torsi vario 150 cc. Pada penelitian ini digunakan berat roller sebesar 11 gram, 13 gram, dan 15 gram. Metode penelitian yang digunakan adalah metode eksperimen dengan analisis ANOVA satu arah. Pengujian dengan bantuan tachometer tipe non kontak untuk mengukur kecepatan putaran puli primer dan puli sekunder serta alat dynotest untuk mengukur torsi. Hasil penelitian tentang pengaruh berat roller terhadap rasio transmisi CVT menunjukkan bahwa berat roller sebesar 15 gram menghasilkan rasio transmisi CVT tertinggi sebesar 2,97 pada putaran 2000 rpm. Sedangkan berat roller 13 gram sebesar 2,52 pada putaran 2000 rpm dan berat roller 11 gram sebesar 1,99 pada putaran 2000 rpm. Hasil penelitian torsi menunjukkan bahwa torsi tertinggi dengan berat roller 15 gram sebesar 27,61 Nm pada putaran mesin 2000 rpm. Dengan berat roller 13 gram torsi tertinggi sebesar 30,14 Nm pada putaran mesin 2000 rpm dan berat roller 11 gram memperoleh torsi tertinggi dari semua berat roller sebesar 31,91 Nm pada putaran mesin 2000 rpm.
PENGARUH BIOETANOL TERHADAP KONSUMSI BAHAN BAKAR DAN EMISI GAS BUANG PADA MOTOR SUZUKI SHOGUN 125
Aziz, Mohammad Aldo;
Sudarno;
Ridwan;
Sutrisno
Conference on Innovation and Application of Science and Technology (CIASTECH) Vol. 7 No. 1 (2024): CIASTECH 2024 Potensi dan Dampak Artificial Intelligence (AI) di Era Society 5.
Publisher : Universitas Widyagama Malang
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DOI: 10.31328/ciastech.v7i1.6944
Nilai oktan bahan bakar kendaraan bermotor memiliki pengaruh yang sangat besar terhadap proses pembakaran di dalam ruang silinder. Diantara faktor yang mempengaruhi kinerja kendaraan bermotor adalah kualitas fuelyang digunakan. Bioetanol merupakan bahan bakar yang berasal dari bahan organik. Fungsi bioetanol adalah untuk meningkatkan kadar oktan bahan bakar sehingga dapat meningkatkan efisiensi bahan bakar. Penelitian ini bertujuan untuk mengetahui efek bioetanol terhadap konsumsi bahan bakar dan kandungan emisi gas buang pada sepeda motor Suzuki Shogun 125 CC. Metode eksperimen digunakan dalam penelitian ini, yaitu dengan melakukan pengujian pengaruh suatu percobaan dengan cara membandingkan percobaan baru dengan perlakuan control. Setelah dilakukan penelitian diperoleh data konsumsi bahan bakar untuk campuran bahan bakar E0 memiliki hasil konsumsi sebesar 3,7666 ml/menit dan campuran E2% sebesar 2,9333 ml/menit mengalami gradient penurunan konsumsi bahan bakar sebesar 0,8333 ml/menit. Penurunan kadar CO yang semula pada campuran E0 sebesar 6,08% menjadi CO terendah diantara campuran lainnya pada campuran E2% dengan kadar CO sebesar 5,60% mengalami penurunan sebesar 0,48%, dan pada kadar HC campuran E0 dengan nilai 387ppm menjadi lebih rendah pada campuran bahan bakar E2% dengan kadar 344ppm mengalami penurunan sebesar 43 ppm.