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PENGARUH KEPERCAYAAN PASIEN RAWAT JALAN PADA PELAYANAN DOKTER TERHADAP MINAT KUNJUNGAN ULANG DI RUMAH SAKIT ISLAM JAKARTA PONDOK KOPI Meo, maria Hiasinta; Seiswati, Siswati; Hosizah, Hosizah; Temesvari, Nauri Anggita
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4645

Abstract: Hospitals are required to minimize errors made by medical and non-medical staff to build patient trust in the services provided. Data show that patient visits at Jakarta Islamic Hospital Pondok Kopi from January to August 2023 reached 36,188 with an average of 4,523 visits per month, with the lowest number recorded in April 2023. This study aims to describe the influence of outpatient trust in doctors’ services on their interest in repeat visits. The research employed a quantitative approach with a cross-sectional design, involving 100 non-BPJS outpatients at the Outpatient Unit, with data collected through questionnaires. Data were analyzed using a Simple Logistic Regression test. The findings indicate that patients trust doctors’ services and are interested in returning for subsequent visits. Bivariate analysis revealed that outpatient trust in doctors’ services simultaneously had a significant effect on repeat visit interest, as shown by the wald test result (f count 11.170 > f table 1.984467) with a significance level of 0.001 < 0.05. Thus, patient trust plays a crucial role in fostering loyalty through repeat visits at Jakarta Islamic Hospital Pondok Kopi. Keyword: Patient Trust, Doctor Services, Repeat Visits, Hospital, Outpatient Abstrak: Rumah sakit dituntut untuk meminimalkan kesalahan tenaga medis maupun nonmedis agar tercipta kepercayaan pasien terhadap pelayanan yang diberikan. Data menunjukkan kunjungan pasien di Rumah Sakit Islam Jakarta Pondok Kopi pada Januari–Agustus 2023 sebanyak 36.188 orang dengan rata-rata 4.523 kunjungan per bulan, di mana angka terendah terjadi pada April 2023. Penelitian ini bertujuan menggambarkan pengaruh kepercayaan pasien rawat jalan terhadap pelayanan dokter dalam meningkatkan minat kunjungan ulang. Penelitian menggunakan pendekatan kuantitatif dengan desain cross sectional, melibatkan 100 responden pasien non-BPJS di Unit Rawat Jalan, dan data dikumpulkan melalui kuesioner. Analisis dilakukan menggunakan uji Regresi Logistik Sederhana. Hasil penelitian menunjukkan bahwa pasien menaruh kepercayaan pada pelayanan dokter dan berminat melakukan kunjungan ulang. Analisis bivariat mengungkapkan kepercayaan pasien secara simultan berpengaruh signifikan terhadap minat kunjungan ulang, dibuktikan dengan hasil uji wald (f hitung 11.170 > f tabel 1.984467) pada tingkat signifikansi 0.001 < 0.05. Dengan demikian, kepercayaan pasien menjadi faktor penting dalam membangun loyalitas melalui kunjungan ulang di Rumah Sakit Islam Jakarta Pondok Kopi. Kata kunci: Kepercayaan Pasien, Pelayanan Dokter, Minat Kunjungan Ulang, Rumah Sakit, Rawat Jalan

MULTI-COMMODITY NON-OIL EXPORT FORECASTING IN INDONESIA USING BACKPROPAGATION ARTIFICIAL NEURAL NETWORK Suhermanto, Suhermanto; Siregar, Helmi Fauzi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4797

Abstract: Forecasting non-oil export commodities is critical for Indonesia's trade strategy, as these commodities contribute 93.8% of total national exports. This study develops a multi-commodity export prediction system using Artificial Neural Network (ANN) with backpropagation algorithm for 32 Indonesian non-oil commodities across six strategic sectors. Using monthly export data from February to August 2025 from Indonesia's Central Statistics Agency, we identified optimal neural network architecture 6-5-1 (6 input neurons for 6-month historical data, 5 hidden neurons, 1 output neuron). The model achieved 89.16% training accuracy and 88.43% testing accuracy with minimal 0.73% differential, indicating strong generalization without overfitting. Highest accuracy occurred on stable commodities (Tobacco: 99.94%, Animal/Plant Fats: 99.90%) while volatile commodities showed lower accuracy (Oil Seeds: 42.57%). The developed web-based system enables policymakers and exporters to make strategic decisions for international trade. This research demonstrates ANN backpropagation effectiveness for multi-dimensional commodity forecasting and provides practical decision-support tools for Indonesia's non-oil export sector. Keyword: artificial neural network; backpropagation; export forecasting; commodity prediction; Indonesia. Abstrak: Peramalan komoditas ekspor nonmigas sangat penting untuk strategi perdagangan Indonesia karena berkontribusi 93,8% dari total ekspor nasional. Penelitian ini mengembangkan sistem prediksi ekspor multi-komoditas menggunakan Jaringan Syaraf Tiruan (JST) dengan algoritma backpropagation untuk 32 komoditas nonmigas Indonesia di enam sektor strategis. Menggunakan data ekspor bulanan Februari-Agustus 2025 dari Badan Pusat Statistik Indonesia, kami mengidentifikasi arsitektur jaringan optimal 6-5-1 (6 neuron input untuk data 6 bulan, 5 neuron tersembunyi, 1 neuron output). Model mencapai akurasi training 89,16% dan testing 88,43% dengan diferensial minimal 0,73%, menunjukkan generalisasi kuat tanpa overfitting. Akurasi tertinggi pada komoditas stabil (Tembakau: 99,94%, Lemak dan Minyak: 99,90%) sedangkan komoditas volatil menunjukkan akurasi lebih rendah (Biji-bijian Berminyak: 42,57%). Sistem berbasis web memungkinkan pembuat kebijakan dan eksportir membuat keputusan strategis untuk perdagangan internasional. Penelitian ini menunjukkan efektivitas JST backpropagation untuk peramalan komoditas multi-dimensi dan menyediakan alat pengambilan keputusan praktis untuk sektor ekspor nonmigas Indonesia. Kata kunci: jaringan syaraf tiruan; backpropagation; peramalan ekspor; prediksi komoditas; Indonesia.

PENGARUH MODEL COOPERATIVE INTEGRATED READING AND COMPETITION TERHADAP KEMAMPUAN MENGANALISIS TEKS CERPEN SISWA KELAS XI SMA NEGERI 1 TALAWI Sari, Rafika Muspita; Karimaliana, Karimaliana; Nasution, Susi Masriani
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4845

Abstract: The purpose of this study was to determine the effect of the Cooperative Integrated Reading And Competition model on the Ability to Analyze Short Story Texts of Class XI of SMA Negeri 1 Talawi in the 2024/2025 Academic Year. This type of research is Experimental research. The sample in this study was class XI-2 as a control class using the Cooperative Integrated Reading And Competition Model and class XI-3 as an experimental class using conventional methods. After the learning was completed, a post-test was obtained with an average result of the experimental class of 80 (good category) and the control class of 61.9 (sufficient category). The results of the to calculation that have been obtained show that the t value is obtained, then consulted with the t table at the 5% and 1% levels with df = (N1 + N2) -2 = (36 + 36) -2 = 70. The t-table with df = 70 yields a significance level of 5% = 2.00 and a significance level of 1% = 2.65 because the calculated t (to) is greater than the t-table (t1), i.e., a significance level of 5% (6.93>2.00). Therefore, the significance level of 1% (6.93>2.65) means the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. This indicates that the experimental class performed better in learning to analyze short stories than the control class. Therefore, the alternative hypothesis, namely that there is a significant influence of the Cooperative Integrated Reading and Competition model on the ability to analyze short stories in grade XI of SMA Negeri 1 Talawi in the 2024/2025 academic year, is accepted. Keywords: model, learning, short story text Abstrak: Tujuan penelitian ini adalah untuk mengetahui pengaruh model Cooperative Integrated Reading And Competition terhadap Kemampuan Menganalisis Teks Cerpen Kelas XI SMA Negeri 1 Talawi Tahun Ajaran 2024/2025. Jenis penelitian ini adalah penelitian Eksperimen. Sampel dalam penelitian ini yaitu kelas XI-2 sebagai kelas kontrol dengan menggunakan Model Cooperative Integrated Reading And Competition dan kelas XI-3 sebagai kelas eksperimen dengan menggunakan metode konvensional. Setelah pembelajaran selesai diberikan, diperoleh post-test dengan hasil rata-rata kelas eksperimen 80 ( kategori baik) dan kelas kontrol 61,9 (kategori cukup). Hasil perhitungan to yang telah diperoleh yakni menunjukkan bahwa nilai t diperoleh, selanjutnya dikonsultasikan dengan ttabel pada taraf 5% maupun 1 % dengan dk = (N1+N2) -2 = (36+36)-2=70. Pada tabel t dengan dk =70 diperoleh taraf signifikan 5% = 2,00 dan taraf signifikan 1% = 2,65 karena thitung (to) lebih besar dari ttabel (t1), yakni taraf signifikan 5% (6,93>2,00). Maka taraf signifikan 1% (6,93>2,65), maka hipotesis nihil (Ho) ditolak dan hipotesis alternative (Ha) diterima. Hal ini berarti dalam pembelajaran menganalisis teks cerpen kelas eksperimen lebih baik dibandingkan dengan kelas kontrol. Maka artinya hipotesis alternatif yaitu ada pengaruh yang signifikan dengan model Cooperative Integrated Reading And Competition terhadap kemampuan menganalisis teks cerpen kelas XI SMA Negeri 1 Talawi Tahun Ajaran 2024/2025 diterima. Kata kunci : model, pembelajaran, teks cerpen

PERENCANAAN REPARASI KAPAL MENGGUNAKAN RANDOM FOREST Wardani, Rahma; Saleh, Khairul
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4791

Abstract: Under these conditions, at the Tanjung Tiram Port shipyard where the researcher conducted the research, various complaints were found related to ship repairs, such as port congestion during ship arrivals, cargo volume, dock availability, weather conditions, available slots at the port, and the number of available cranes. Based on these issues, the researcher will use the random forest method to determine the ship repair process at the Tanjung Tiram shipyard. This random forest method is capable of analyzing ship repair patterns and automatically recommending optimal decisions. The data used in this study comes from historical data from the Tanjung Tiram shipyard, which includes information such as cargo volume and dock availability. The purpose of this study is to apply the Random Forest algorithm to accurately predict ship repair durations based on these variables. Based on the test results, the Random Forest method has a higher level of predictive accuracy than conventional planning methods that still rely on technician experience or manual estimation. The test results show that in classification 3, the Accuracy value is 0.529, Precision is 0.333, and Recall is 0.143. For classification 1, the Accuracy value was 0.471, Precision was 0.429, and Recall was 0.857. The Random Forest method can be effectively applied in ship repair planning at the Tanjung Tiram shipyard by utilizing historical ship repair data such as cargo volume, dock availability, weather conditions, available slots, and the number of cranes. This algorithm is capable of building a predictive model that identifies repair needs and predicts repair times with a high degree of accuracy. Keywords: Ship Repair Planning, Random Forest, Web Abstrak: Dalam kondisi ini di galangan kapal Pelabuhan Tanjung Tiram tempat peneliti melakukan penelitian ditemukan berbagai keluhan terkait dengan perbaikan kapal seperti kepadatan pelabuhan saat kedatangan kapal, jumlah muatan, ketersediaan dermaga, kondisi cuaca, slot yang tersedia di pelabuhan dan jumlah crane yang tersedia. Berdasarkan permasalahan diatas, peneliti akan menggunakan metode random forest untuk menentukan proses refarasi kapal yang ada di galangan kapal Tanjung Tiram dimana metode random forest ini mampu menganalisis pola perbaikan kapal dan merekomendasikan keputusan optimal secara otomatis. Data yang digunakan dalam penelitian ini berasal dari data historis galangan kapal Tanjung Tiram, yang mencakup informasi seperti jumlah muatan dan ketersediaan dermaga. Tujuan penelitian ini untuk menerapkan algoritma Random Forest untuk memprediksi durasi perbaikan kapal yang akurat berdasarkan variable-variabelnya. Berdasarkan hasil pengujian, metode Random Forest memiliki tingkat akurasi prediksi yang lebih tinggi dibandingkan metode perencanaan konvensional yang masih mengandalkan pengalaman teknisi atau estimasi manual. Dari hasil pengujian terlihat bahwa pada klasifikasi 3 nilai Accuracy sebesar 0.529, Precision sebesar 0.333 dan Recall sebesar 0.143. Untuk klasifikasi 1 nilai Accuracy sebesar 0.471, Precision sebesar 0.429 dan Recall sebesar 0.857. Metode Random Forest dapat diterapkan secara efektif dalam perencanaan reparasi kapal di galangan Tanjung Tiram dengan memanfaatkan data historis perbaikan kapal seperti jumlah muatan, ketersediaan dermaga, kondisi cuaca, slot yang tersedia dan jumlah crane. Algoritma ini mampu membangun model prediktif yang mengidentifikasi kebutuhan perbaikan dan memprediksi waktu reparasi dengan tingkat akurasi tinggi.Kata Kunci : Perencanaan Reparasi Kapal, Random Forest, Web.

ANALISIS PENGARUH PROMOSI DAN CRM TERHADAP KEPUTUSAN KONSUMEN MELAKUKAN PERAWATAN BERKALA MELALUI MINAT SERVICE SEPEDA MOTOR HONDA PADA AHASS WAHANA RITEL HONDA JATAKE TANGERANG Benedictus Febriadi Maharanto1 Maharanto, Benedictus Febriadi; Pradiani, Theresia; Ruspitasari, Widi Dewi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4842

Abstract: Indonesia’s motorcycle industry has experienced rapid growth, yet consumer participation in after-sales services such as periodic maintenance remains low. This study aims to analyze the influence of promotion and Customer Relationship Management (CRM) on consumer decisions to engage in periodic maintenance, with service interest as a mediating variable. The research was conducted using a quantitative approach with a sample of 100 consumers from AHASS Wahana Honda Jatake, Tangerang. Data were analyzed using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method. Results show that promotion and CRM have no significant direct effect on consumer decisions, but both have a significant positive effect on service interest. Service interest was found to fully mediate the relationship between promotion and CRM on consumer decisions. These findings highlight the importance of fostering service interest as a strategic link between marketing efforts and customer loyalty in official motorcycle service centers. Keyword: Consumer decision, Customer relationship management, Periodic maintenance, Promotion, Service interest Abstrak: Industri sepeda motor di Indonesia mengalami pertumbuhan pesat, namun tingkat partisipasi konsumen dalam layanan purna jual seperti perawatan berkala masih rendah. Penelitian ini bertujuan untuk menganalisis pengaruh promosi dan Customer Relationship Management (CRM) terhadap keputusan konsumen melakukan perawatan berkala, dengan minat service sebagai variabel mediasi. Penelitian dilakukan pada 100 responden pengguna layanan AHASS Wahana Honda Jatake, Tangerang, menggunakan pendekatan kuantitatif dan teknik analisis Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil menunjukkan bahwa promosi dan CRM tidak berpengaruh langsung secara signifikan terhadap keputusan konsumen, tetapi berpengaruh positif dan signifikan terhadap minat service. Minat service terbukti memediasi secara penuh hubungan antara promosi dan CRM terhadap keputusan konsumen. Temuan ini menekankan pentingnya membangun minat service sebagai jembatan strategi promosi dan CRM dalam meningkatkan loyalitas konsumen terhadap layanan perawatan berkala di bengkel resmi. Kata kunci: Customer Relationship Management, minat service, keputusan konsumen, perawatan berkala, promosi

PENGARUH KUALITAS GURU, KUALITAS LAYANAN DAN NILAI YANG DIPERSEPSIKAN (PERCEIVED VALUE) TERHADAP LOYALITAS SISWA SMA ALFA CENTAURI BANDUNG Ibrahim, Yusup; Bukhori, Moh.; Dura, Justita
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4728

Abstract: This study aims to analyze the influence of teacher quality (X1), service quality (X2), and perceived value (X3) on student loyalty (Y) at Alfa Centauri High School Bandung. The research employs a quantitative approach withÂ Partial Least Squares Structural Equation ModelingÂ (PLS-SEM) analysis using SmartPLS 4. A sample of 91 students was selected through stratified random sampling. The results indicate that: (1) Teacher quality has no significant effect on student loyalty; (2) Service quality shows a positive and significant influence; (3) Perceived value has the strongest effect. Collectively, these variables explain 69.7% of the variance in student loyalty. Practical implications suggest the need to enhance school service quality and strengthen student perceived value through structured branding programs, while teacher quality requires optimization through a more holistic approach. These findings enrich the literature on student loyalty determinants in secondary education by confirming the dominance of perceived value as the primary predictor.Â Keyword: Student Loyalty, Teacher Quality, Service Quality, Perceived Value, PLS-SEMÂ Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh kualitas guru (X1), kualitas layanan (X2), dan nilai yang dipersepsikan (X3) terhadap loyalitas siswa (Y) di SMA Alfa Centauri Bandung. Metode penelitian menggunakan pendekatan kuantitatif dengan teknik analisisÂ Partial Least Squares Structural Equation ModelingÂ (PLS-SEM) melalui SmartPLS 4. Sampel penelitian terdiri dari 91 siswa yang dipilih dengan teknikÂ stratified random sampling. Hasil penelitian menunjukkan bahwa: (1) Kualitas guru tidak berpengaruh signifikan terhadap loyalitas siswa; (2) Kualitas layanan berpengaruh positif dan signifikan; (3) Nilai yang dipersepsikan memiliki pengaruh paling kuat. Secara simultan, ketiga variabel menjelaskan 69,7% variasi loyalitas siswa. Implikasi praktis penelitian ini menyarankan perlunya peningkatan kualitas layanan sekolah dan penguatan nilai persepsian siswa melalui program branding yang terstruktur, sementara peran kualitas guru perlu dioptimalkan melalui pendekatan yang lebih holistik. Temuan ini memperkaya literatur tentang determinan loyalitas siswa di konteks pendidikan menengah dengan mengonfirmasi dominasi nilai persepsian sebagai prediktor utama.Â Kata kunci: Loyalitas Siswa. Kualitas Guru, Kualitas Layanan, Nilai yang Dipersepsikan, PLS-SEMÂ

ANALISIS PREDIKSI PENURUNAN PENJUALAN PRODUK PADA MINIMARKET MENGGUNAKAN ALGORITMA NAIVE BAYES Putri, Nazifa; Wanayumini, Wanayumini
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4812

Abstract: The decline in product sales is a common issue faced by minimarkets as it affects revenue stability and stock management strategies. To address this problem, a system capable of predicting potential sales decline accurately and efficiently is required. This study aims to implement the Naive Bayes algorithm to predict product sales decline in a minimarket, measure the prediction accuracy, and identify the most influential factors contributing to sales decrease. This research employs a quantitative method with a data mining approach. The dataset used consists of minimarket sales data from 2020 to 2023, including attributes such as product name, product category, quantity sold, price, sales period, and promotion status. The research stages include data preprocessing, data splitting into training and testing sets, applying the Naive Bayes algorithm, and evaluating the results using accuracy, precision, and recall metrics. The system implementation was developed using the Python programming language and the CodeIgniter framework for a web-based interface. The results show that the Naive Bayes algorithm achieved a 100% accuracy rate, indicating excellent performance in predicting sales decline. The most influential factors affecting sales decline are promotion status and product category, where non-promoted products and those belonging to the instant food category are more likely to experience decreased sales. Therefore, the implementation of the Naive Bayes algorithm proves to be effective in helping minimarket management monitor sales trends, design promotion strategies, and improve data-driven decision-making efficiency. Keywords: Naive Bayes, sales prediction, sales decline, data mining, minimarket. Abstrak: Penurunan penjualan produk merupakan permasalahan yang sering dihadapi oleh minimarket karena dapat memengaruhi stabilitas pendapatan dan strategi pengelolaan stok barang. Untuk mengatasi permasalahan tersebut, diperlukan suatu sistem yang mampu memprediksi potensi penurunan penjualan secara akurat dan efisien. Penelitian ini bertujuan untuk menerapkan algoritma Naive Bayes dalam memprediksi penurunan penjualan produk pada minimarket, mengukur tingkat akurasi hasil prediksi, serta mengidentifikasi faktor-faktor yang paling berpengaruh terhadap penurunan penjualan. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan data mining. Data yang digunakan berupa data penjualan minimarket periode 2020–2023 dengan atribut meliputi nama produk, kategori produk, jumlah terjual, harga, waktu penjualan, dan status promosi. Proses penelitian meliputi tahap data preprocessing, pembagian data menjadi data latih dan data uji, penerapan algoritma Naive Bayes, serta evaluasi hasil menggunakan metrik accuracy, precision, dan recall. Implementasi sistem dilakukan dengan bahasa pemrograman Python serta framework CodeIgniter untuk antarmuka berbasis web. Hasil penelitian menunjukkan bahwa algoritma Naive Bayes mampu memberikan hasil prediksi dengan tingkat akurasi sebesar 100%, menunjukkan kemampuan model yang sangat baik dalam memprediksi penurunan penjualan produk. Faktor yang paling memengaruhi penurunan penjualan adalah status promosi dan kategori produk, di mana produk tanpa promosi dan kategori makanan instan lebih sering mengalami penurunan penjualan. Dengan demikian, penerapan algoritma Naive Bayes terbukti efektif untuk membantu manajemen minimarket dalam memantau tren penjualan, merancang strategi promosi, serta meningkatkan efisiensi pengambilan keputusan secara berbasis data. Kata kunci: Naive Bayes, prediksi penjualan, penurunan penjualan, data mining, minimarket.

PENGARUH PEMBERIAN UMPAN BALIK, SIKAP BELAJAR DAN LINGKUNGAN KELUARGA TERHADAP HASIL BELAJAR SISWA DI SMA ALFA CENTAURI KOTA BANDUNG Rustandi, Agus; Rachmawati, Ike Kusdyah; Handoko, Yunus
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4713

Â Abstract: This study aims to analyze the influence of teacher feedback, learning attitudes, and family environment on studentsâ€™ academic achievement at SMA Alfa Centauri in Bandung. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with data collected from 100 respondents. The results revealed that, partially, only the family environment had a significant effect on academic achievement, while teacher feedback and learning attitudes did not show significant direct effects. However, simultaneously, the three independent variables were able to explain 31.1% of the variance in academic achievement, as indicated by an RÂ² value of 0.311. These findings highlight the critical role of the family environment in supporting studentsâ€™ academic success and emphasize the need for integrated efforts to strengthen a culture of learning within schools.Â Keywords: Academic achievement, Teacher feedback, Learning attitudes, Family Â Â Â Â Â Â Â Â Â Â Â Â Â Â environment. Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh pemberian umpan balik, sikap belajar, dan lingkungan keluarga terhadap hasil belajar siswa SMA Alfa Centauri Kota Bandung. Penelitian ini menggunakan pendekatan kuantitatif dengan metode analisis Partial Least Squares Structural Equation Modeling (PLS-SEM) terhadap 100 responden. Hasil penelitian menunjukkan bahwa secara parsial, hanya lingkungan keluarga yang memiliki pengaruh signifikan terhadap hasil belajar, sedangkan pemberian umpan balik dan sikap belajar tidak menunjukkan pengaruh yang signifikan. Namun demikian, secara simultan ketiga variabel independen tersebut mampu menjelaskan 31,1% variasi hasil belajar, sebagaimana ditunjukkan oleh nilai RÂ² sebesar 0.311. Temuan ini menggarisbawahi pentingnya peran lingkungan keluarga dalam mendukung keberhasilan akademik siswa serta perlunya pendekatan terpadu dalam penguatan budaya belajar di sekolah.Â Kata kunci: Hasil belajar, Umpan balik, Sikap belajar, Lingkungan keluarga..Â

FILSAFAT TVET DALAM LENSA SDGs REALISME, HATI DAN LOGIKA DALAM PENDIDIKAN VOKASI Yuberta, Andre; Refdinal, Refdinal; Abdullah, Rijal; Mardizal, Jonni
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4802

Abstract: Technical and Vocational Education and Training (TVET) plays a crucial role in bridging the needs of the industrial world with the goals of sustainable human development. Within the context of the Sustainable Development Goals (SDGs), particularly Goal 4.7 on Education for Sustainable Development, this study revisits the philosophy of TVET through three dimensions: realism, heart, and logic. The research aims to uncover the philosophical foundations of TVET within the SDG framework by tracing classical German thought (Kerschensteiner, Spranger, Fischer) alongside modern paradigms rooted in technology, vocational psychology, and educational sustainability. The method employed is an integrative bibliometric-based literature analysis of 1,041 Scopus-indexed articles (2015–2024), combined with a philosophical review of five major sources from Germany, the United Kingdom, China, and Indonesia. The findings reveal four key insights: (1) Educational realism emphasizes contextual and meaningful work competencies; (2) The dimension of heart highlights moral values, humanity, and psychological well-being within the TVET system; (3) Educational logic is reflected in technology-based curricula that integrate knowledge, skills, and values; and (4) The integration of SDGs fosters ecological awareness and social responsibility. TVET is thus conceptualized as a philosophical system that unites work reality, humanity, and scientific rationality toward a sustainable vocational curriculum for the 21st century. Keyword: Philosophy of TVET; SDGs; vocational ethics; vocational psychology; educational sustainability Abstrak: Pendidikan Teknik dan Kejuruan (TVET) berperan penting dalam menjembatani kebutuhan dunia industri dengan tujuan pembangunan manusia berkelanjutan. Dalam konteks Tujuan Pembangunan Berkelanjutan (SDGs), khususnya poin 4.7 tentang Education for Sustainable Development, kajian ini meninjau ulang filsafat TVET melalui tiga dimensi: realisme, hati, dan logika. Penelitian ini bertujuan mengungkap fondasi filosofis TVET dalam kerangka SDGs dengan menelusuri pemikiran klasik Jerman (Kerschensteiner, Spranger, Fischer) serta paradigma modern berbasis teknologi, psikologi vokasional, dan keberlanjutan pendidikan. Metode yang digunakan adalah integrative literature analysis berbasis bibliometrik terhadap 1.041 artikel Scopus (2015–2024), dipadukan dengan telaah filosofis terhadap lima sumber utama dari Jerman, Inggris, Tiongkok, dan Indonesia. Hasil penelitian menunjukkan empat temuan utama: (1) realisme pendidikan menekankan kompetensi kerja kontekstual dan bermakna; (2) dimensi hati menyoroti nilai moral, kemanusiaan, dan kesejahteraan psikologis dalam sistem TVET; (3) logika pendidikan tercermin pada kurikulum berbasis teknologi yang menghubungkan pengetahuan, keterampilan, dan nilai; serta (4) integrasi SDGs menumbuhkan kesadaran ekologis dan tanggung jawab sosial. TVET dipandang sebagai sistem filosofis yang menyatukan realitas kerja, kemanusiaan, dan rasionalitas ilmiah menuju kurikulum kejuruan berkelanjutan abad ke-21. Kata kunci: Filsafat TVET; SDGs; etika vokasional; psikologi kejuruan; keberlanjutan pendidikan.

PENGARUH MODEL PEMBELAJARAN PERMAINAN TERHADAP KEMAMPUAN MOTORIK KASAR SISWA KELAS III DI SD NEGERI LABAN TENGAH Sidik, Sahrul; Nursehah, Uvia; Oktaviani, Anna Maria
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4467

Abstract: This research aims to determine the effect of the game movement learning model on the gross motor skills of third grade students at SDN Laban Tengah, Tirtayasa Sub-district, Serang Regency. The study employed a quantitative approach with an experimental design involving 31 students, consisting of 18 students in the control class and 13 students in the experimental class. Data on gross motor skills were obtained through several test instruments, namely a 30-meter sprint test to measure speed, a shuttle run 4 x 10 meters test to measure agility, a throwing and catching ball test to measure coordination, and a stork stand test to measure balance. The results of the study revealed significant differences between the control and experimental classes. In the experimental class, 30.77% of students were categorized as very high in gross motor skills, while in the control class only 16.67% achieved the same category. The t-test analysis showed a significance value of 0.002 < 0.05, indicating that the game movement learning model had a significant effect on students’ gross motor skills. In addition, the F-test supported these findings, with an Fvalue of 6.564 ? Ftable 3.091 and a significance value of 0.002 < 0.05. Keyword: Learning Model, Game Movement, Gross Motor Skills. Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran gerak permainan terhadap kemampuan motorik kasar siswa kelas III SDN Laban Tengah, Kecamatan Tirtayasa, Kabupaten Serang. Penelitian ini menggunakan pendekatan kuantitatif dengan desain eksperimen yang melibatkan 31 siswa, yang terdiri dari 18 siswa di kelas kontrol dan 13 siswa di kelas eksperimen. Data kemampuan motorik kasar diperoleh melalui beberapa instrumen tes, yaitu tes lari cepat 30 Meter untuk mengukur kecepatan, tes lari bolak-balik 4 x 10 Meter untuk mengukur kelincahan, tes melempar dan menangkap bola untuk mengukur koordinasi, dan tes berdiri bangau untuk mengukur keseimbangan. Hasil penelitian menunjukkan adanya perbedaan yang signifikan antara kelas kontrol dan eksperimen. Pada kelas eksperimen, 30,77% siswa berkategori sangat tinggi pada kemampuan motorik kasar, sedangkan pada kelas kontrol hanya 16,67% yang mencapai kategori yang sama. Analisis uji-t menunjukkan nilai signifikansi 0,002 < 0,05, yang menunjukkan bahwa model pembelajaran gerak permainan berpengaruh signifikan terhadap kemampuan motorik kasar siswa. Selain itu, uji F mendukung temuan ini, dengan nilai F sebesar 6,564 ? F tabel 3,091 dan nilai signifikansi 0,002 < 0,05.Kata kunci: Model Pembelajaran, Gerak Permainan, Motorik Kasar.

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Home Page

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Journal Mail Official lppm_stmik@royal.ac.id

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Abstract

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Contact Name
Andy Sapta

Contact Email
saptaandy@gmail.com

Phone
-

Journal Mail Official
lppm_stmik@royal.ac.id

Editorial Address
-

Location
,

INDONESIA