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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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PREDICTING STUDENTS AT RISK OF DROPPING OUT USING XGBOOST BASED ON ACADEMIC DATA Indra Nasution; Muhammad Syahputra Novelan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6822

Abstract

Abstract: Student dropout has become a significant challenge for higher education institutions because it negatively affects academic performance, institutional reputation, and resource allocation. Early identification of students at risk of dropping out enables universities to implement timely interventions and improve student retention. This study proposes a predictive model for identifying students at risk of dropping out using the Extreme Gradient Boosting (XGBoost) algorithm based on academic data. The dataset consists of student academic records, including grade point average (GPA), course completion rate, attendance, accumulated credits, failed courses, and semester performance. The data were preprocessed through data cleaning, feature selection, and normalization to improve model performance. The dataset was then divided into training and testing sets using an 80:20 ratio. The XGBoost model was trained and evaluated using accuracy, precision, recall, F1-score, and Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The experimental results demonstrate that XGBoost effectively captures complex relationships among academic variables and provides high predictive performance in identifying students with dropout risk. Feature importance analysis further reveals that GPA, accumulated credits, attendance rate, and the number of failed courses are the most influential factors affecting student dropout. The proposed approach offers a practical decision-support tool for higher education institutions by enabling early detection of at-risk students and facilitating targeted academic support programs. The findings contribute to the application of machine learning in educational data mining and learning analytics, providing valuable insights for improving student retention strategies and academic success. Future research may integrate non-academic factors such as socioeconomic background, psychological characteristics, and student engagement to further enhance prediction accuracy and model generalizability across different educational institutions. Keywords: Student Dropout Prediction; XGBoost; Machine Learning; Educational Data Mining; Learning Analytics.   Abstrak: Putus kuliah merupakan tantangan signifikan bagi institusi pendidikan tinggi karena berdampak negatif terhadap kinerja akademik, reputasi institusi, dan alokasi sumber daya. Identifikasi dini terhadap mahasiswa yang berisiko putus kuliah memungkinkan universitas untuk menerapkan intervensi yang tepat waktu dan meningkatkan retensi mahasiswa. Penelitian ini mengusulkan model prediktif untuk mengidentifikasi mahasiswa yang berisiko putus kuliah menggunakan algoritma Extreme Gradient Boosting (XGBoost) berdasarkan data akademik. Kumpulan data mencakup rekam jejak akademik mahasiswa, termasuk Indeks Prestasi Kumulatif (IPK), tingkat penyelesaian mata kuliah, kehadiran, akumulasi kredit, mata kuliah yang gagal, dan kinerja semester. Data diproses melalui tahapan pembersihan data, seleksi fitur, dan normalisasi untuk meningkatkan kinerja model. Selanjutnya, kumpulan data dibagi menjadi set pelatihan dan pengujian dengan rasio 80:20. Model XGBoost dilatih dan dievaluasi menggunakan metrik akurasi, presisi, recall, skor-F1, dan Area Under the Receiver Operating Characteristic Curve (AUC-ROC). Hasil eksperimen menunjukkan bahwa XGBoost secara efektif menangkap hubungan kompleks antarvariabel akademik dan memberikan kinerja prediksi yang tinggi dalam mengidentifikasi mahasiswa dengan risiko putus kuliah. Analisis kepentingan fitur mengungkapkan bahwa IPK, akumulasi kredit, tingkat kehadiran, dan jumlah mata kuliah yang gagal merupakan faktor paling berpengaruh terhadap risiko putus kuliah mahasiswa. Pendekatan yang diusulkan ini menawarkan alat pendukung keputusan yang praktis bagi institusi pendidikan tinggi dengan memungkinkan deteksi dini mahasiswa berisiko serta memfasilitasi program dukungan akademik yang terarah. Temuan ini berkontribusi pada penerapan machine learning dalam penambangan data pendidikan dan analitik pembelajaran, serta memberikan wawasan berharga untuk meningkatkan strategi retensi mahasiswa dan keberhasilan akademik. Penelitian di masa mendatang dapat mengintegrasikan faktor non-akademik—seperti latar belakang sosial-ekonomi, karakteristik psikologis, dan keterlibatan mahasiswa—untuk lebih meningkatkan akurasi prediksi dan kemampuan generalisasi model di berbagai institusi pendidikan. Kata kunci: Prediksi Putus Kuliah Mahasiswa; XGBoost; Machine Learning; Penambangan Data Pendidikan; Analitik Pembelajaran.
STUDI OBSERVATIF HAMBATAN SAMPING TERHADAP KINERJA RUAS JALAN DI SEKITAR KAWASAN WISATA KULINER MALAM DI KISARAN Aditya Tri Putra; Alexander Tuahta Sihombing; Amir Hamzah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6823

Abstract

Abstract: This study aims to determine the effect of side barriers on the performance of Jalan A. Rivai in the Kisaran night culinary tourism area. The method used was an observational study with a traffic volume survey for seven consecutive days in November 2025. Data was collected through direct counts of light vehicles, heavy vehicles, and motorcycles using traffic counters. The analysis included calculating traffic volume (Q), road capacity (C), degree of saturation (DJ), free-flow speed (FV), and the frequency of side barriers. The results showed the highest volume on Sunday with 1,219 vehicles and a Q of 273.4 pcu/h, a road capacity of 1,952.8 pcu/h, a degree of saturation of 0.14, and a free-flow speed of 30.19 km/h. The greatest side barriers occurred on Sunday nights due to vehicle parking and street vendors on the roadside. However, these barriers did not significantly impact road performance. This study recommends shoulder space management and parking management to maintain smooth traffic flow in the area. Keywords: Side barriers, road performance, level of service, traffic volume, night culinary tourism.   Abstrak: Penelitian ini bertujuan mengetahui pengaruh hambatan samping terhadap kinerja ruas Jalan A. Rivai di kawasan wisata kuliner malam Kisaran. Metode yang digunakan adalah studi observatif dengan survei volume lalu lintas selama tujuh hari berturut-turut pada November 2025. Data dikumpulkan melalui penghitungan langsung kendaraan ringan, berat, dan sepeda motor menggunakan traffic counter. Analisis meliputi perhitungan volume lalu lintas (Q), kapasitas jalan (C), derajat kejenuhan (DJ), kecepatan arus bebas (FV), dan frekuensi hambatan samping. Hasil menunjukkan volume tertinggi pada hari Minggu dengan 1.219 kendaraan dan Q sebesar 273,4 smp/jam, kapasitas jalan sebesar 1.952,8 smp/jam, derajat kejenuhan 0,14, dan kecepatan arus bebas 30,19 km/jam. Hambatan samping terbesar terjadi pada hari Minggu malam disebabkan aktivitas parkir kendaraan dan pedagang kaki lima di bahu jalan. Meski demikian, hambatan ini belum berpengaruh signifikan terhadap kinerja jalan. Penelitian ini merekomendasikan penataan ruang bahu jalan dan pengelolaan parkir untuk menjaga kelancaran lalu lintas di kawasan tersebut. Kata kunci: Hambatan samping, kinerja jalan, tingkat pelayanan, volume lalu lintas, wisata kuliner malam.
PREDIKSI PENUTUPAN HARGA SAHAM HARIAN MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM BERBASIS FUZZY C-MEANS Aras Hardi Cusinia; Tekad Matulatan; Feri Irawan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6824

Abstract

This study develops a stock price prediction model based on the Adaptive Neuro-Fuzzy Inference System integrated with Fuzzy C-Means clustering (ANFIS-FCM) for three information technology stocks listed on the Indonesia Stock Exchange: Anabatic Technologies (ATIC), Elang Mahkota Teknologi (EMTK), and Metrodata Electronics (MTDL). Daily OHLC data from 2015 to 2025 were transformed using a five-day sliding window and normalized with Min-Max scaling. Fuzzy C-Means was used to generate cluster centers for the fuzzy inference system, avoiding the rule explosion problem associated with grid partitioning on twenty input features. Hyperparameters (number of rules, epochs, and learning rate) were tuned separately for each stock using grid search based on validation RMSE. Testing results show MAPE values of 1.95% for ATIC, 3.01% for EMTK, and 1.64% for MTDL, all well below the 10% accuracy threshold commonly used in time-series forecasting. Model performance was found to be data-dependent, with the lowest error obtained for the most stable stock and the highest for the most volatile one.
MODERASI MANAJEMEN RISIKO PADA HUBUNGAN HUMAN RESOURCE MANAGEMENT DAN KINERJA DI INDUSTRI KELAPA SAWIT Wendi Amsuri Nasution
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6825

Abstract

Abstract: Human Resource Management (HRM) plays a strategic role in improving organizational performance through effective workforce management. However, its effectiveness also depends on an organization's capability to manage operational risks. This study develops a Risk Management moderation model by examining the relationship between Human Resource Management and Employee Performance as a representation of performance in the palm oil industry. A post positivist paradigm with a quantitative explanatory approach was employed at PT Perkebunan Nusantara IV Regional 2 Pulu Raja Estate and Palm Oil Mill. Data were collected from 193 permanent employees selected through proportionate stratified random sampling from a population of 370 employees and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. The results show that Human Resource Management (β = 0.554, p < 0.001) and Operational Risk Readiness (β = 0.447, p < 0.001) have positive and significant effects on Employee Performance. Moreover, Operational Risk Readiness significantly moderates the relationship between Human Resource Management and Employee Performance (β = 0.132, p = 0.003). The model demonstrates satisfactory explanatory and predictive capability (R² = 0.522; Q² = 0.417; SRMR = 0.048). These findings highlight the importance of integrating Human Resource Management and Risk Management to improve Employee Performance in the palm oil industry.  
THE HIDDEN HEART COST OF LONELINESS: NURSING STRATEGIES FOR CARDIOVASCULAR RISK Nova Langingi; Grace F. Kaparang; Michelle Sambuaga
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6826

Abstract

Abstract: Loneliness is a subjective lack of satisfying relationships, whereas social isolation is an objective limitation in social contact or network availability. This rapid systematic review synthesized evidence published from 2021 to 5 July 2026 on loneliness, social isolation, cardiovascular outcomes, and nursing interventions. Searches included PubMed/MEDLINE, PubMed Central, publisher records, and citation tracking. Adult studies were reported using PRISMA 2020 principles and appraised with JBI tools. Of 34 candidates, five were excluded and 29 studies were narratively synthesized. Evidence linked loneliness and social isolation with cardiovascular disease incidence, heart failure, mortality, poorer adaptation, and impaired self-management, although measures and adjustment varied. Repeated or persistent social disconnection may be more informative than one-time assessment. Psychological, social-contact, home-based, telephone, and digital interventions may improve loneliness, but evidence for reducing major cardiovascular events remains insufficient. Nurses should screen both constructs, integrate findings into cardiovascular care, coordinate referrals, support rehabilitation, and monitor clinical outcomes. Keywords: Loneliness; social isolation; cardiovascular disease; nursing; cardiovascular risk. Abstrak: Kesepian merupakan pengalaman subjektif berupa kurangnya hubungan yang memuaskan, sedangkan isolasi sosial adalah keterbatasan objektif dalam kontak sosial atau ketersediaan jaringan sosial. Tinjauan sistematis cepat ini menyintesis bukti yang dipublikasikan dari tahun 2021 hingga 5 Juli 2026 mengenai kesepian, isolasi sosial, luaran kardiovaskular, dan intervensi keperawatan. Pencarian dilakukan melalui PubMed/MEDLINE, PubMed Central, catatan penerbit, dan penelusuran sitasi. Studi pada populasi dewasa dilaporkan berdasarkan prinsip PRISMA 2020 dan dinilai menggunakan instrumen JBI. Dari 34 artikel kandidat, lima dikeluarkan dan 29 studi disintesis secara naratif. Bukti menunjukkan bahwa kesepian dan isolasi sosial berkaitan dengan kejadian penyakit kardiovaskular, gagal jantung, mortalitas, adaptasi yang lebih buruk, dan gangguan manajemen diri, meskipun terdapat variasi dalam pengukuran dan penyesuaian faktor perancu. Keterputusan sosial yang berulang atau menetap mungkin lebih informatif dibandingkan penilaian satu kali. Intervensi psikologis, kontak sosial, layanan berbasis rumah, telepon, dan digital dapat mengurangi kesepian, tetapi bukti mengenai penurunan kejadian kardiovaskular mayor masih belum memadai. Perawat perlu melakukan skrining terhadap kedua kondisi tersebut, mengintegrasikan hasilnya ke dalam perawatan kardiovaskular, mengoordinasikan rujukan, mendukung rehabilitasi, dan memantau luaran klinis. Kata kunci: Kesepian; isolasi sosial; penyakit kardiovaskular; keperawatan; risiko kardiovaskular
TRANSFORMASI TEKNOLOGI INFORMASI DI ERA DIGITAL: PELUANG, TANTANGAN, DAN IMPLEMENTASI PADA BERBAGAI SEKTOR Ridwan Ridwan; Solly Aryza; Zulham Sitorus; Muhammad Iqbal
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6829

Abstract

Abstract: Information technology transformation has become a major driver of change across various sectors, including education, business, government, healthcare, and industry. The rapid advancement of digital technologies such as cloud computing, Artificial Intelligence (AI), the Internet of Things (IoT), big data, and modern communication technologies has improved operational efficiency, service quality, and data-driven decision-making within organizations. This study aims to analyze the opportunities, challenges, and implementation of information technology across multiple sectors in the digital era. The research employed a Systematic Literature Review (SLR) by examining national and international scientific publications published between 2022 and 2026. The findings indicate that information technology implementation significantly enhances productivity, innovation, transparency, and organizational competitiveness when supported by effective governance, adequate digital infrastructure, and competent human resources. Nevertheless, digital transformation continues to face challenges related to cybersecurity, personal data protection, digital inequality, infrastructure limitations, and insufficient digital literacy. Therefore, integrated, adaptive, and sustainable digital transformation strategies are required to maximize the benefits of information technology for organizations and society. Keywords: Digital Transformation, Information Technology, Artificial Intelligence, Internet of Things, Systematic Literature Review   Abstrak: Transformasi teknologi informasi telah menjadi pendorong utama perubahan di berbagai sektor, termasuk pendidikan, bisnis, pemerintahan, kesehatan, dan industri. Perkembangan teknologi digital seperti cloud computing, Artificial Intelligence (AI), Internet of Things (IoT), big data, dan teknologi komunikasi modern telah meningkatkan efisiensi operasional, kualitas layanan, serta kemampuan organisasi dalam pengambilan keputusan berbasis data. Penelitian ini bertujuan menganalisis peluang, tantangan, dan implementasi teknologi informasi pada berbagai sektor di era digital. Metode penelitian menggunakan Systematic Literature Review (SLR) dengan mengkaji artikel ilmiah nasional dan internasional yang dipublikasikan pada periode 2022–2026. Hasil kajian menunjukkan bahwa penerapan teknologi informasi memberikan dampak positif terhadap peningkatan produktivitas, inovasi, transparansi, dan daya saing organisasi apabila didukung oleh tata kelola yang efektif, infrastruktur digital yang memadai, serta sumber daya manusia yang kompeten. Namun, implementasi transformasi digital masih menghadapi tantangan berupa keamanan siber, perlindungan data pribadi, kesenjangan digital, keterbatasan infrastruktur, dan rendahnya literasi digital. Oleh karena itu, diperlukan strategi transformasi digital yang terintegrasi, adaptif, dan berkelanjutan agar pemanfaatan teknologi informasi mampu memberikan nilai tambah bagi organisasi dan masyarakat. Kata kunci: Transformasi Digital, Teknologi Informasi, Artificial Intelligence, Internet of Things, Systematic Literature Review.
PENGARUH STRES KERJA DAN BUDAYA KERJA TERHADAP KINERJA PEGAWAI PADA KANTOR DINAS PENDIDIKAN KABUPATEN TORAJA UTARA Melvipatricia Ampu Lembang; Jens Batara Marewa; Marinus Ronal
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6832

Abstract

This study aims to examine the effect of work stress and work culture on employee performance at the Education Office of North Toraja Regency. A quantitative research approach was employed using questionnaires and documentation for data collection. The study involved 46 employees, all of whom were selected as respondents through a census sampling technique. Data were analyzed using IBM SPSS with multiple linear regression, t-test, and F-test. The results revealed that work stress had no significant effect on employee performance, as indicated by a calculated t-value of -1.690, which was lower than the critical t-value of 2.016, with a significance level of 0.098 (>0.05). In contrast, work culture had a positive and significant effect on employee performance, with a calculated t-value of 5.525, exceeding the critical value of 2.016 and a significance level of 0.000 (<0.05). Simultaneously, work stress and work culture significantly influenced employee performance, as evidenced by an F-value of 19.563, which was greater than the F-table value of 3.21, with a significance level of 0.000 (<0.05). These findings indicate that work culture is the dominant factor in improving employee performance.  
PENGARUH FAKTOR-FAKTOR PSIKOLOGIS TERHADAP KEPATUHAN PAJAK KENDARAAN BERMOTOR PEGAWAI PEMERINTAH DAERHA DI KABUPATEN TANA TORAJA Kevin Afandi Willem; Elisabet Pali’; Olivia Devi Pongpeng
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6833

Abstract

This study aims to analyze the influence of attitude, subjective norms, perceived behavioral control, tax awareness and knowledge, and motivation on tax compliance. This research is motivated by the importance of improving taxpayer compliance as one of the key factors supporting the optimization of state revenue from the taxation sector. The study employed a quantitative research method, with data collected through questionnaires distributed to 55 respondents. Data analysis was conducted using validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, t-tests, F-tests, and the coefficient of determination with the assistance of statistical software. The results of the study indicate that, partially, the attitude variable has a positive and significant effect on tax compliance, with a t-value of 2.288 and a significance value of 0.026. Tax awareness and knowledge also have a positive and significant effect on tax compliance, with a t-value of 3.535 and a significance value of 0.001. Meanwhile, subjective norms, perceived behavioral control, and motivation do not have a significant effect on tax compliance. Simultaneously, attitude, subjective norms, perceived behavioral control, tax awareness and knowledge, and motivation significantly influence tax compliance, with an F-value of 13.564 and a significance value of 0.000. The coefficient of determination test shows an Adjusted R Square value of 0.538, indicating that 53.8% of the variation in tax compliance can be explained by the independent variables in this study, while the remaining 46.2% is explained by other factors outside the research model. Based on the findings, it can be concluded that attitude as well as tax awareness and knowledge are important factors in improving tax compliance, whereas subjective norms, perceived behavioral control, and motivation do not show a significant influence on tax compliance.
ANALISIS PENGELOLAAN KEUANGAN OBJEK WISATA PINUS PA’TENGKO KECAMATAN MENGKENDEK KABUPATEN TANA TORAJA Riani Rudin; Helba Rundupadang; Mince Batara
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6834

Abstract

This descriptive qualitative research aims to analyze the financial management of BUMDes in managing the Pinus Pa’tengko Tourism Object, Mengkendek District, Tana Toraja Regency. The analysis covers five stages: planning, execution, record-keeping, reporting, and accountability. Data were collected through observation, documentation studies, and semi-structured interviews with the Head of Lembang, the BUMDes Chairman, and the Treasurer. The results show that during planning, budgeting is participatory involving the community and traditional leaders, although revenue targets rely on rough estimates without detailed expenditure drafts. In execution, business units for ticketing, parking, ATV rentals, and camping successfully create local employment, despite facing tourist fluctuations and high maintenance costs for non-permanent facilities. In record-keeping, administrative dualism was identified: the Chairman claims to use digital applications, whereas the Treasurer still relies on manual daily cashbook recording. The reporting stage is hindered by unpunctual unit managers, misplaced transaction receipts, and unclear field reports. In accountability, the Accountability Report (LPJ) is submitted annually to the Lembang Government alongside net profit distributions (35% employee salaries, 30% retained earnings, 20% BUMDes, and village income contribution). However, periodic in-depth evaluations remain passive and are tightened only when financial irregularities are indicated.
ANALISIS PERILAKU KONSUMEN DALAM KEPUTUSAN PEMBELIAN DI MBAK NINGSIH KOSMETIK KABUPATEN TORAJA UTARA Tirsa Tasik; Isak Pasulu’; Dwibin Kannapadang
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6835

Abstract

This study aims to analyze consumer behavior regarding purchase decisions at Mbak Ningsih Cosmetics in North Toraja Regency. The study employs a qualitative approach, utilizing data collection techniques such as observation, interviews, and documentation. The results indicate that consumer purchase decisions are influenced by product quality, price, service, promotion, and recommendations. These findings are expected to provide valuable insights for Mbak Ningsih Cosmetics in enhancing its marketing strategies and customer satisfaction.

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