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INDONESIA
JOURNAL OF SCIENCE AND SOCIAL RESEARCH
Published by Smart Education
ISSN : 26154307     EISSN : 26153262     DOI : -
Core Subject : Economy, Science, Education, Social,
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences
Journal of Science and Social Research is accepts research works from academicians in their respective expertise of studies. Journal of Science and Social Research is platform to disclose the research abilities and promote quality and excellence of young researchers and experienced thoughts towards Change for Development. The journal releases on February and July.
Arjuna Subject : -
Articles 3,645 Documents
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Optimalisasi Digital Workplace Berbasis Sistem Informasi Terhadap Kinerja PegawaiPada Sistem Work From Home Ahmad Syaukani; Muhammad Irfan Sarif
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6170

Abstract

This study aims to analyze the effect of a digital workplace based on information systems on employees’ administrative and documentation performance in supporting bureaucratic digital transformation. The research employs a qualitative approach through literature review and case studies. Three cases are examined, namely road damage management in North Maluku, the implementation of the SI MANTAP Sumut application with the Maker–Checker–Signer mechanism, and the use of SIMPEG e-Kinerja in Bogor City. The results indicate that a digital workplace based on information systems has a significant impact on improving employee performance, particularly in terms of administrative efficiency, data accuracy, documentation quality, as well as transparency and accountability. The North Maluku case shows improved reporting speed and responsiveness. SI MANTAP Sumut enhances data validity through internal control mechanisms, while SIMPEG e-Kinerja in Bogor City supports more objective, data-driven performance evaluation. However, challenges remain, including limited technological infrastructure, varying levels of digital competence among employees, and suboptimal system utilization. Therefore, strengthening system integration, improving human resource capacity, and developing more adaptive and integrated systems are necessary.
EFFECT OF SHADOWING ON INFORMATION SYSTEMS STUDENTS SPEAKING FLUENCY AT ROYAL UNIVERSITY Cecep Maulana; Irianto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6171

Abstract

This study aimed to investigate the effectiveness of the shadowing method in improving speaking fluency among Class SI 1D students in the Information Systems Department at Royal University. A quasi-experimental design was applied involving 27 students divided into an experimental and a control group. The experimental group received structured shadowing activities through guided audio repetition and pronunciation modeling, while the control group was taught using conventional speaking exercises. The findings showed a significant improvement in the experimental group, with a mean post-test score of 86 and a normalized gain of 0.65 (moderate–high), compared to the control group’s mean score of 70 and gain of 0.23 (low). An independent samples t-test confirmed a statistically significant difference between both groups (t = 10.12, p < 0.05). Classroom observations indicated increased confidence, reduced hesitation, and better speech continuity among students exposed to shadowing. The study concludes that the shadowing method is an effective and practical strategy for enhancing speaking fluency among university-level Information Systems students.
PIPELINE MACHINE LEARNING PREDIKSI RISIKOPENYAKIT DARI DATA KUESIONER Anggiat Roberto Sinaga; Siti Aisyah; Dheo Zakaria Harahap; Anindyia Sitorus Pane; Sendy Valiza A. Ginting
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6172

Abstract

This study aims to design a system capable of predicting disease risk levels using the Naive Bayes algorithm and questionnaire data. Respondent data was collected via Google Forms, covering variables such as age, lifestyle, stress levels, sleep quality, physical activity, and family health history. The data underwent preprocessing and was converted into a tabular format before being divided into 80 training data points and 20 testing data points. The Naive Bayes algorithm was used to classify disease risk into low, moderate, and high categories. Test results showed that the model could generate predictions with a high level of accuracy. The trained model was then implemented in a web-based system so that users could easily and quickly determine their disease risk.
ANALISIS KOMPARATIF ALGORITMA K-MEANS DAN K-MEDOIDS DALAM CLUSTERING RASIO DISTRIBUSI ALOKON TERHADAP PUS  DI PROVINSI SUMATERA UTARA TAHUN 2025 Panggabean Siahaan; Muhammad Irfan Sarif; Siti Qomariyah; Satria Sinurat; Norita Tampubolon
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6173

Abstract

Unequal distribution of contraceptive supplies (Alokon) relative to the target population remains a persistent challenge in family planning programs, particularly in regions with high demographic heterogeneity. Evaluation based on absolute distribution values generates proportional bias, as larger-population areas automatically receive higher volumes without accounting for the proportional needs of the Reproductive Age Couples (PUS) population. This study proposes a ratio-based approach — dividing total Alokon distributed by the number of  PUS — as the primary clustering variable to enable proportional comparison and reduce population-scale bias across 33 districts and cities in North Sumatra Province. Two algorithms, K-Means and K-Medoids based on Partitioning Around Medoids (PAM), were comparatively evaluated using Silhouette Score as the evaluation metric. The optimal number of clusters (K = 3) was determined through a combination of the Elbow Method — which identified a 75.12% WCSS reduction from K = 2 to K = 3 — and Silhouette Score validation. Results show that both algorithms produced identical cluster compositions: 16 districts in the low-distribution group (48.5%; = 0.1687), 13 districts in the moderate group (39.4%; = 0.3117), and 4 districts in the high group (12.1%; = 0.6077), with equal average Silhouette Scores of = 0.6998 (reasonable structure). Densely populated areas such as Medan City and Deli Serdang — despite receiving the highest absolute distribution volumes — were classified in the low group when measured proportionally, demonstrating the superiority of the ratio-based approach. To the best of the authors' knowledge, this study is the first to apply comparative clustering on Alokon distribution using a proportional ratio framework in North Sumatra Province, providing empirical evidence on algorithm performance in normalized health service distribution data. 
ANALISIS SENTIMEN MASYARAKAT TERHADAP KEBIJAKAN PEMBERANTASAN JUDI ONLINE DI INDONESIA MENGGUNAKAN NATURAL LANGUAGE PROCESSING PADA MEDIA SOSIAL Irwansyah Putera Sitorus; Muhammad Irfan Sarif; Nurlina Sari Harahap
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6175

Abstract

The rapid growth of online gambling in Indonesia has become a serious social problem, prompting the government to implement various eradication policies. This study aims to analyze public sentiment toward Indonesia's online gambling eradication policy using Natural Language Processing (NLP) techniques on social media data collected from YouTube. A total of 237 comments were gathered and processed through preprocessing stages including cleaning, normalization, stopword removal, and stemming using the Sastrawi library. Sentiment labeling was performed using a weighted lexicon-based approach with 600+ sentiment words. Classification was conducted using three models—Random Forest, Linear SVM, and Logistic Regression—with SMOTE applied for class balancing and 5-fold cross-validation for robustness evaluation. The best model, Linear SVM, achieved an accuracy of 97.92% and a CV score of 97.56%. Results showed that 57.4% of public sentiment was neutral, 28.3% positive, and 14.3% negative, indicating that the majority of the public responds to this issue informationally. This study demonstrates that NLP-based sentiment analysis is an effective tool for evaluating public perception of digital policy in Indonesia.
PERBANDINGAN NLP DAN SVM DALAM ANALISIS SENTIMEN KOMENTAR INSTAGRAM TERKAIT STIGMA MASYARAKAT TERHADAP BANJIR SUMATERA 2025 Muhammad Akbar Firdaus; Maisya Fitri Anugrah; Sri Hidayati; Dedy Rahman Harahap; Rendy Rabensi Sembiring; Muhammad Syahputra Novelan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6176

Abstract

This study aims to analyze public sentiment regarding the 2025 Sumatra flood based on Instagram comments using a Natural Language Processing (NLP) approach. The methods applied include IndoBERT and Support Vector Machine (SVM) with TF-IDF features. A total of 711 comments were collected through a crawling process and processed using preprocessing techniques. The results show that negative sentiment dominates at 44.7%, followed by positive (30.4%) and neutral (24.9%) sentiments. Model evaluation indicates that IndoBERT outperforms SVM with an accuracy of 74.8% compared to 66.4%. WordCloud visualization reveals dominant terms such as flood, government, forest, and palm oil, reflecting public concerns about environmental issues and government policies.
PENGARUH SERVICE QUALITY, PRODUCT QUALITY DAN CUSTOMER EXPERIENCE TERHADAP KEPUASAN KONSUMEN PADA TOKO ROTI ZAHRA  BAKERY AND CAKE  DI KOTA KISARAN Dinda Sri Rahmadani; Zulfa Khairina Batubara
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6177

Abstract

This study aims to determine the simultaneous and partial effects of service quality, product quality, and customer experience on consumer satisfaction. The sample consisted of 96 respondents. The data analysis technique used multiple linear regression. The regression results produced the equation: Y = 1,901 + 0,315X1 + 0,561X2 + 0,407X3. The F-test result shows an Fcount (33.997) > Ftable (2.70), indicating that service quality, product quality, and customer experience simultaneously have a significant effect on consumer satisfaction. The t-test results show that, partially, service quality has a positive effect on consumer satisfaction because tcount (2.145) > ttable (1.986), product quality has a positive effect on consumer satisfaction because tcount (6.240) > ttable (1.986), and customer experience also has a positive effect on consumer satisfaction because tcount (3.386) > ttable (1.986). The R² test result shows an Adjusted R Square value of 0.510, meaning that the independent variables consisting of service quality, product quality, and customer experience are able to explain consumer satisfaction by 51%, while the remaining 49% is explained by other variables not included in this study.
OPTIMALISASI PENGETAHUAN PASIEN TERKAIT DENGAN SURAT IZIN OPERASI DI RUMAH SAKIT NATAMA TEBING TINGGI Muhammad Chairul; Chrismis Novalinda Ginting; Sri Lestari Ramadhani Nasution
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6178

Abstract

Patient understanding of the Surgical Consent Letter (SIO) is a crucial aspect in ensuring patient safety, rights, and involvement in medical procedures. However, limited patient knowledge remains, potentially leading to misunderstandings and legal and ethical risks in hospitals. This study aims to optimize patient knowledge regarding the Surgical Consent Letter through a systematic educational approach. The method used is descriptive quantitative, with data collected through questionnaires from patients undergoing surgery. Analysis was conducted by comparing the level of patient knowledge before and after the education. The results showed a significant increase in patient knowledge after the educational intervention, with most patients previously in the low to moderate knowledge category improving to the good category. Direct education provided using communicative media has proven effective in improving patient understanding. Thus, optimizing patient knowledge regarding the Surgical Consent Letter can be achieved through planned and ongoing education, thereby supporting patient safety and strengthening the principle of informed consent in healthcare.
HUBUNGAN KETERSEDIAAN OBAT BPH DAN KUALITAS PELAYANAN FARMASI TERHADAP KEPUASAN PASIEN DI RS NATAMA TEBING TINGGI Doli Catur Utomo; Ermi Girsang; Sri Lestari Ramadhani Nasution
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6179

Abstract

This study examines the relationship between the availability of Benign Prostatic Hyperplasia (BPH) medication and the quality of pharmaceutical services on patient satisfaction at Natama Tebing Tinggi Hospital. BPH is a common disease in elderly men and can reduce quality of life, requiring ongoing therapy and good pharmaceutical support. This study used a quantitative method with an observational analytical design and a cross-sectional approach in outpatients with BPH. Data were collected through questionnaires and statistically analyzed to determine the relationship between variables. The results showed that adequate medication availability and optimal pharmaceutical service quality were positively associated with patient satisfaction. Therefore, improving medication management and the quality of pharmaceutical services needs to be a priority for hospitals to increase patient satisfaction.
PENGARUH LOAN TO DEPOSIT RATIO (LDR), TOTAL ASSETS TURNOVER (TATO), CAPITAL ADEQUACY RATIO (CAR) DAN NET PROFIT MARGIN (NPM) TERHADAP RETURN ON ASSET (ROA) PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) Nur Abjizah Safarini; Dian Wahyuni
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6180

Abstract

Abstract: This study aims to partially and simultaneously determine the Loan to Deposit Ratio (LDR), Total Asset Turnover (TATO), Capital Adequacy Ratio (CAR), and Net Profit Margin on Return on Assets (ROA) in banking companies listed on the Indonesia Stock Exchange (IDX). The sample size was 11 companies for the 2021-2024 period with a total of 44 observation objects. Quantitative research methods and multiple linear regression. The partial t-test results of LDR have a calculated t value (1.727) < t table (2.02108) and a significant value greater than 0.05, namely 0.092 > 0.05, so H0 is accepted and H1 is rejected, which means that partially the LDR variable has no effect on Return On Assets (ROA), Total Asset Turn Over (TATO) has a calculated tvalue (6.693) > ttable (2.02108) and a significant value less than 0.05, namely 0.000 < 0.05, so H0 is rejected and H2 is accepted, which means that partially the TATO variable has a positive effect on Return On Assets (ROA), CAR has a calculated tvalue (-0.592) > -ttable (-2.02108) and a significant value greater than 0.05, namely 0.558 > 0.05, so H0 is accepted and H3 is rejected, which means that partially the CAR variable has no effect on Return On Asset (ROA) and NPM has a calculated tvalue (13.298) > ttable (2.02269) and a significant value smaller than 0.05, namely 0.000 < 0.05, then H0 is rejected and H4 is accepted, which means that partially the NPM variable has a positive effect on Return on Asset (ROA). The results of the simultaneous F test of LDR, TATO, CAR and NPM have an effect on the dependent variable Return On Asset (ROA). The calculation results obtained an F calculated value of 48.023 and a significance value of 0.000. While the Ftable value at a 95% confidence level (? = 5%), with dƒ1 = 4 and dƒ2 = 39, an Ftable value of 2.61 was obtained. Thus, the F calculated value > F table is 48.023 > 2.61 and a significance value of 0.000 < 0.05. Therefore, H0 is rejected and H1 is accepted, meaning that the independent variables are: Keywords: LDR, TATO, CAR, NPM, and ROA Abstrak: Penelitian ini bertujuan untuk mengetahui secara parsial dan simultan Loan to Deposit Ratio (LDR), Total Asset Turn Over (TATO), Capital Adequacy Ratio (CAR) dan Net Profi Margin Terhadap Return On Asset (ROA) pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia (BEI). Jumlah sampel 11 perusahaan pada periode 2021-2024 dengan jumlah 44 objek pengamatan. Metode penelitian kuantitatif serta regresi linear berganda. Hasil uji t secara parsial LDR memiliki nilai thitung (1,727) < ttabel (2,02108) dan nilai signifikan lebih besar dari 0,05 yaitu 0,092 > 0,05, maka H0 diterima dan H1 ditolak yang berarti bahwa secara parsial variabel LDR tidak berpengaruh terhadap Return On Asset (ROA), Total Asset Turn Over (TATO) memiliki nilai thitung (6,693) > ttabel (2,02108) dan nilai signifikan lebih kecil dari 0,05 yaitu 0,000 < 0,05, maka H0 ditolak dan H2 diterima yang berarti bahwa secara parsial variabel TATO berpengaruh positif terhadap Return On Asset (ROA), CAR memiliki nilai thitung (-0,592) > -ttabel (-2,02108) dan nilai signifikan lebih besar dari 0,05 yaitu 0,558 > 0,05, maka H0 diterima dan H3 ditolak yang bararti secara parsial variabel CAR tidak berpengaruh terhadap Return On Asset (ROA) dan NPM memiliki nilai thitung (13,298) > ttabel (2,02108) dan nilai signifikan lebih kecil dari 0,05 yaitu 0,000 < 0,05, maka H0 ditolak dan H4 diterima yang berarti bahwa secara parsial variabel NPM berpengaruh positif terhadap Return on Asset (ROA). Hasil uji F secara simultan LDR, TATO, CAR dan NPM tersebut berpengaruh terhadap variabel dependen Return On Asset (ROA) hasil perhitungan diperoleh nilai Fhitung sebesar 48,023 dan nilai signifikansi sebesar 0,000. Sedangkan nilai Ftabel pada tingkat kepercayaan 95% (? = 5%), dengan dƒ1 = 4 dan dƒ2 = 39, diperoleh nilai Ftabel sebesar 2,61. Dengan demikian nilai Fhitung > Ftabel yaitu 48,023 > 2,61 dan nilai signifikasi yaitu 0,000 < 0,05. Oleh karena itu maka H0 ditolak dan H1 diterima, ini berarti bahwa variabel independen. Kata Kunci: LDR, TATO, CAR, NPM dan ROA

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