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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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PENGARUH INTERAKTIVITAS MEDIA SOSIAL, KUALITAS INFORMASI DIGITAL, DAN ONLINE PROMOTION TERHADAP KEPUTUSAN PEMBELIAN DENGAN CUSTOMER ENGAGEMENT SEBAGAI VARIABEL MEDIASI Alfina TiurMida Sitanggang; Ade Suryani; Wirda Lilia; Lola Maharani; Alvi
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.v9i3.6505

Abstract

Abstract: This study aims to analyze the effect of social media interactivity, digital information quality, and online promotion on purchasing decisions with customer engagement as a mediating variable. The research employed a quantitative approach using a cross-sectional survey design. The population consisted of 100 respondents from Pelalawan Regency in 2026 using a census sampling technique. Data were collected through a structured questionnaire with a five-point Likert scale and analyzed using Partial Least Square–Structural Equation Modeling (PLS-SEM) through SmartPLS 4. The findings indicate that social media interactivity has a positive and significant effect on purchasing decisions (β=0.532; p<0.05), and online promotion also has a positive and significant effect on purchasing decisions (β=0.544; p<0.05). Meanwhile, digital information quality has no significant effect on customer engagement or purchasing decisions. Customer engagement was also found not to significantly influence purchasing decisions, indicating that its mediating role has not been optimal. The study concludes that digital marketing strategies emphasizing active social media interaction and attractive online promotions are more effective in improving consumer purchasing decisions than solely improving digital information quality. Keywords: Social Media Interactivity; Digital Information Quality; Online Promotion; Customer Engagement; Purchasing Decision.   Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh interaktivitas media sosial, kualitas informasi digital, dan online promotion terhadap keputusan pembelian dengan customer engagement sebagai variabel mediasi. Penelitian menggunakan pendekatan kuantitatif dengan desain survei potong lintang (cross-sectional). Populasi penelitian terdiri dari 100 masyarakat Kabupaten Pelalawan tahun 2026 dengan teknik sensus sampling. Pengumpulan data dilakukan menggunakan kuesioner skala Likert 5 poin dan dianalisis menggunakan Partial Least Square–Structural Equation Modeling (PLS-SEM) melalui SmartPLS 4. Hasil penelitian menunjukkan bahwa interaktivitas media sosial berpengaruh positif dan signifikan terhadap keputusan pembelian (β=0,532; p<0,05), demikian juga online promotion yang berpengaruh positif dan signifikan terhadap keputusan pembelian (β=0,544; p<0,05). Sementara itu, kualitas informasi digital tidak berpengaruh signifikan terhadap customer engagement maupun keputusan pembelian. Customer engagement juga tidak terbukti berpengaruh signifikan terhadap keputusan pembelian sehingga perannya sebagai variabel mediasi belum optimal. Simpulan penelitian menunjukkan bahwa strategi pemasaran digital yang menekankan interaksi aktif di media sosial dan promosi online yang menarik lebih efektif dalam meningkatkan keputusan pembelian konsumen dibandingkan peningkatan kualitas informasi digital semata. Kata kunci: interaktivitas media sosial; kualitas informasi digital; online promotion; customer engagement; keputusan pembelian.
KEPUASAN PENGGUNA APLIKASI FORE COFFEE BERDASARKAN RATING DI GOOGLE PLAY STORE DENGAN METODE TREND MOMENT Anita; Polardo Pinindo Purba
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.v9i3.6510

Abstract

Abstract: Advances in digital information systems have encouraged companies to utilize mobile applications as a customer service medium. Fore Coffee is a digital-based coffee company that uses a mobile application to support the ordering process and customer service. The level of application user satisfaction can be determined through ratings given on the Google Play Store. These ratings are dynamic, so an analytical method is needed to determine the direction of changes. This study aims to analyze the trend of user satisfaction of the Fore Coffee application based on rating data on the Google Play Store using the Trend Moment method. Data was obtained through web scraping using Python on Google Collaboratory with a data collection period of 2019–2025. The collected data was then processed using the Trend Moment method to identify trends in changes in user satisfaction levels over time. The results show that the average user rating of the Fore Coffee application during the 2019–2025 period ranged from 3.92 to 4.36. The highest value occurred in 2021 at 4.36, while the lowest value occurred in 2023 at 3.92. The results of the Trend Moment calculation produce a trend equation Y = 4.23 − 0.03X. The coefficient of −0.03 indicates a very small tendency for user satisfaction to decrease so that in general the level of user satisfaction remains stable and receives a positive response. Keywords: Fore Coffee, Google Play Store, User Rating, User Satisfaction, Trend Moment.   Abstrak: Kemajuan sistem informasi digital telah mendorong perusahaan memanfaatkan aplikasi seluler sebagai media layanan pelanggan. Fore Coffee merupakan salah satu perusahaan kopi berbasis digital yang menggunakan aplikasi seluler untuk mendukung proses pemesanan dan pelayanan pelanggan. Tingkat kepuasan pengguna aplikasi dapat diketahui melalui rating yang diberikan pada Google Play Store. Rating tersebut bersifat dinamis sehingga diperlukan metode analisis untuk mengetahui arah perubahannya. Penelitian ini bertujuan menganalisis tren kepuasan pengguna aplikasi Fore Coffee berdasarkan data rating pada Google Play Store menggunakan metode Trend Moment. Data diperoleh melalui proses web scraping menggunakan Python pada Google Colaboratory dengan periode pengambilan data tahun 2019–2025. Data yang terkumpul kemudian diolah menggunakan metode Trend Moment untuk mengidentifikasi kecenderungan perubahan tingkat kepuasan pengguna dari waktu ke waktu. Hasil penelitian menunjukkan bahwa rata-rata rating pengguna aplikasi Fore Coffee selama periode 2019–2025 berada pada rentang 3,92 hingga 4,36. Nilai tertinggi terjadi pada tahun 2021 sebesar 4,36, sedangkan nilai terendah terjadi pada tahun 2023 sebesar 3,92. Hasil perhitungan Trend Moment menghasilkan persamaan tren Y = 4,23 − 0,03X. Koefisien −0,03 menunjukkan adanya kecenderungan penurunan kepuasan pengguna yang sangat kecil sehingga secara umum tingkat kepuasan pengguna tetap stabil dan memperoleh respons positif.. Kata kunci: Fore Coffee, Google Play Store, Rating Pengguna, Kepuasan Pengguna, Trend Moment.
PENERAPAN ALGORITMA DECISION TREE UNTUK MEMPREDIKSI TINGKAT KEBERHASILAN STRATEGI BISNIS DIGITAL UMKM Angelina br Tampubolon; Jihan Zulwanda; Efandi H.B Sinuhaji; Saut Parsaoran Tamba
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.v9i3.6511

Abstract

Abstract: The development of digital marketing requires companies to understand customer behavior to ensure more effective promotional strategies. The problem in this study is the difficulty in identifying customers who are likely to respond to digital marketing campaigns because customer data has not been optimally utilized. To address this issue, this study applies the Decision Tree algorithm as a classification method to analyze and predict customer responses based on characteristics and purchasing behavior. The data used is the Customer Personality Analysis dataset from Kaggle, comprising 2,240 customer data. This data was processed through preprocessing, attribute selection, data transformation, SMOTE application, Decision Tree model development, and evaluation using a confusion matrix in RapidMiner Studio. The results showed that the Decision Tree model achieved an accuracy score of 74.48%, with the AcceptedCmp5 attribute being the most influential attribute due to its highest information gain. Based on these results, the Decision Tree algorithm is quite effective in assisting customer behavior analysis and supporting decision-making in digital marketing strategies Keywords: Decision Tree, Classification, Digital Marketing, Customer Behavior Rapidminer    Abstrak: Perkembangan pemasaran digital menuntut perusahaan untuk memahami perilaku pelanggan agar strategi promosi dapat berjalan lebih efektif. Permasalahan dalam penelitian ini adalah sulitnya menentukan pelanggan yang berpotensi memberikan respons terhadap kampanye pemasaran digital karena data pelanggan belum dimanfaatkan secara optimal. Untuk mengatasi masalah tersebut, penelitian ini menerapkan algoritma Decision Tree sebagai metode klasifikasi untuk menganalisis dan memprediksi respons pelanggan berdasarkan karakteristik dan perilaku pembelian. Data yang digunakan merupakan dataset Customer Personality Analysis dari Kaggle sebanyak 2.240 data pelanggan yang diolah melalui tahap preprocessing, seleksi atribut, transformasi data, penerapan SMOTE, pembentukan model Decision Tree, dan evaluasi menggunakan confusion matrix pada RapidMiner Studio. Hasil penelitian menunjukkan bahwa model Decision Tree memperoleh nilai accuracy sebesar 74,48% dan atribut AcceptedCmp5 menjadi atribut paling berpengaruh karena memiliki nilai information gain tertinggi. Berdasarkan hasil tersebut, algoritma Decision Tree cukup efektif digunakan untuk membantu analisis perilaku pelanggan dan mendukung pengambilan keputusan dalam strategi pemasaran digital Kata Kunci: Pohon Keputusan, Klasifikasi, Pemasaran Digital, Perilaku Pelanggan Rapidminer,
ANALISIS PERBANDINGAN ALGORITMA LINEAR REGRESSION DAN RANDOM FOREST UNTUK PREDIKSI MINAT PEMBELIAN KONSUMEN PADA E-COMMERCE SHOPEE DAN TOKOPEDIA Junior Mulatua S. Munthe; David Beckham Aritonang; Dio Kurnia Syahputra; Saut Parsaoran Tamba
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.v9i3.6513

Abstract

Abstract: The rapid growth of e-commerce in Indonesia, particularly on the Shopee and Tokopedia platforms, has increased the need for data-driven approaches to better understand consumer purchase intentions. This study aims to compare the performance of the Linear Regression and Random Forest algorithms in predicting consumer purchase intentions based on price perception, product ratings, consumer reviews, and trust in the platform. A quantitative approach was employed using primary data collected through questionnaires distributed to Shopee and Tokopedia users with a 1–5 Likert scale. The data were processed using Python through preprocessing, validity and reliability testing, and predictive model development. Model performance was evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and R² Score. The results indicate that Random Forest achieved better predictive performance on the Shopee dataset, while Linear Regression produced better results on the Tokopedia dataset. These findings suggest that the effectiveness of a prediction model is influenced by the characteristics of the dataset, highlighting the importance of selecting an appropriate algorithm to achieve optimal prediction performance in e-commerce applications Keywords: Purchase Intention, E-commerce, Linear Regression, Random Forest, Machine Learning   Abstrak: Perkembangan e-commerce di Indonesia, khususnya pada platform Shopee dan Tokopedia, mendorong kebutuhan akan pemanfaatan analisis data untuk memahami minat pembelian konsumen secara lebih akurat. Penelitian ini bertujuan membandingkan kinerja algoritma Linear Regression dan Random Forest dalam memprediksi minat pembelian konsumen berdasarkan variabel persepsi harga, rating produk, ulasan konsumen, dan kepercayaan terhadap platform. Penelitian menggunakan pendekatan kuantitatif dengan data primer yang diperoleh melalui penyebaran kuesioner kepada pengguna Shopee dan Tokopedia menggunakan skala Likert 1–5. Data diolah menggunakan Python melalui tahapan preprocessing, uji validitas dan reliabilitas, serta pembangunan model prediksi. Evaluasi model dilakukan menggunakan metrik Mean Absolute Error (MAE), Root Mean Square Error (RMSE), dan R² Score. Hasil penelitian menunjukkan bahwa Random Forest memberikan performa yang lebih baik pada data Shopee, sedangkan Linear Regression menghasilkan performa yang lebih baik pada data Tokopedia. Temuan ini menunjukkan bahwa karakteristik data memengaruhi kinerja algoritma, sehingga pemilihan model prediksi perlu disesuaikan untuk memperoleh hasil yang optimal. Kata kunci: Minat Pembelian, E-commerce, Linear Regression, Random Forest, Machine Learning
ANALISIS TREN PEMBELAJARAN BIOLOGI BERBASIS HIGHER ORDER THINKING SKILLS (HOTS) DALAM MENINGKATKAN KETERAMPILAN BERPIKIR KRITIS SISWA: SEBUAH SYSTEMATIC LITERATURE REVIEW Anggi Wulansari; Letti Nainggolan
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.v9i3.6515

Abstract

Abstract: Biology learning that integrates Higher Order Thinking Skills (HOTS) has emerged as a significant trend in improving students' critical thinking abilities. This study aims to analyze the trend of HOTS-based biology learning and its impact on students' critical thinking skills through a Systematic Literature Review (SLR). Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, 10 articles published between 2021–2025 were selected from Google Scholar, SINTA, and DOAJ databases based on inclusion and exclusion criteria. The results show that Problem Based Learning (PBL) and Project Based Learning (PjBL) are the most frequently used HOTS-based learning models in biology education. The application of these models consistently shows a significant positive impact on students' critical thinking skills across various educational levels. Research trends over the past five years indicate an increase in the use of digital media integrated with HOTS to support more effective learning. This study concludes that HOTS-based biology learning is effective and recommended to be widely implemented in Indonesian schools, particularly in the context of the Merdeka Curriculum. Keywords: Higher Order Thinking Skills, Biology Learning, Critical Thinking, Systematic Literature Review, PRISMA   Abstrak: Pembelajaran biologi yang mengintegrasikan Higher Order Thinking Skills (HOTS) telah menjadi tren signifikan dalam meningkatkan keterampilan berpikir kritis siswa. Penelitian ini bertujuan menganalisis tren pembelajaran biologi berbasis HOTS dan dampaknya terhadap keterampilan berpikir kritis siswa melalui Systematic Literature Review (SLR). Menggunakan kerangka PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), sebanyak 10 artikel yang diterbitkan pada rentang tahun 2021–2025 dipilih dari basis data Google Scholar, SINTA, dan DOAJ berdasarkan kriteria inklusi dan eksklusi. Hasil penelitian menunjukkan bahwa Problem Based Learning (PBL) dan Project Based Learning (PjBL) merupakan model pembelajaran berbasis HOTS yang paling sering digunakan dalam pendidikan biologi. Penerapan kedua model tersebut secara konsisten menunjukkan dampak positif yang signifikan terhadap keterampilan berpikir kritis siswa di berbagai jenjang pendidikan. Tren penelitian lima tahun terakhir mengindikasikan peningkatan penggunaan media digital yang terintegrasi dengan HOTS untuk mendukung pembelajaran yang lebih efektif. Penelitian ini menyimpulkan bahwa pembelajaran biologi berbasis HOTS efektif dan direkomendasikan untuk diimplementasikan secara luas di sekolah-sekolah Indonesia, khususnya dalam konteks Kurikulum Merdeka. Kata Kunci: Higher Order Thinking Skills, Pembelajaran Biologi, Berpikir Kritis, Systematic Literature Review, PRISMA
GREEN HRM, EMPLOYEE GREEN BEHAVIOR, DAN ENVIRONMENTAL PERFORMANCE DALAM PENGUATAN KINERJA LINGKUNGAN ORGANISASI: SEBUAH LITERATURE REVIEW Elly Rahayu; Wan Mariatul Kifti; Donni Nasution; Feriyanto; Jufrizen
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.v9i3.6516

Abstract

Abstract: The growing awareness of the importance of sustainability has prompted organizations to incorporate environmental elements into management and operational procedures. Green Human Resource Management (GHRM) is one of the most studied approaches. It is considered to be able to encourage the formation of Employee Green Behavior (EGB) and improve the company's Environmental Performance (EP). The purpose of this study is to analyze and synthesize previous research on green human resource management, green employee behavior, and environmental achievement. This study uses a qualitative literature review method. Data was obtained from 30 journal articles published from 2020–2026. This article consists of 10 articles on Green Human Resource Management, 10 articles on Green Worker Behavior, and 10 articles on Environmental Performance. The selection of articles is based on the relevance of the topic, the year of publication, and the number of citations. Content analysis and theme synthesis are used to find patterns of relationships between variables, research trends, and research gaps that need to be improved. The results of the study show that GHRM plays an important role in creating environmentally friendly worker behavior. Through various practices such as green labor acceptance, green training, and green performance assessments, GHRM plays this role. Through resource use efficiency, waste reduction, and increased environmental awareness, EGB has been shown to improve environmental performance. In addition, it was found that the research conducted was still mainly on the manufacturing and hospitality industries, while the amount of research conducted in the field of education and developing countries was very limited. According to this study, GHRM, EGB, and EP are important components in supporting the sustainable strengthening of organizational environmental performance. Keywords: Green Human Resource Management; Employee Green Behavior; Environmental Performance; Sustainability; Literature Review.   Abstrak: Bertambahnya kesadaran akan pentingnya keberlanjutan telah mendorong organisasi untuk memasukkan elemen lingkungan ke dalam prosedur manajemen dan operasional. Green Human Resource Management  (GHRM) adalah salah satu pendekatan yang banyak dipelajari. Dianggap dapat mendorong pembentukan Employee Green Behavior (EGB) dan peningkatan Environmental Performance (EP) perusahaan. Tujuan dari penelitian ini adalah untuk menganalisis dan mensintesis penelitian sebelumnya tentang manajemen sumber daya manusia hijau, perilaku karyawan hijau, dan prestasi lingkungan. Penelitian ini menggunakan metode review literatur kualitatif. Data diperoleh dari 30 artikel jurnal yang dipublikasikan dari tahun 2020–2026. Artikel ini terdiri dari 10 artikel Manajemen Sumber Daya Manusia Hijau, 10 artikel Perilaku Pekerja Hijau, dan 10 artikel Kinerja Lingkungan. Pemilihan artikel didasarkan pada relevansi topik, tahun publikasi, dan jumlah sitasi. Analisis isi dan sintesis tema digunakan untuk menemukan pola hubungan antarvariabel, tren penelitian, dan kesenjangan penelitian yang perlu diperbaiki. Hasil penelitian menunjukkan bahwa GHRM  memainkan peran penting dalam menciptakan perilaku pekerja yang ramah lingkungan. Melalui berbagai praktik seperti penerimaan tenaga kerja hijau, pelatihan hijau, dan penilaian kinerja hijau, GHRM  memainkan peran ini. Melalui efisiensi penggunaan sumber daya, pengurangan limbah, dan peningkatan kesadaran lingkungan, EGB telah terbukti meningkatkan kinerja lingkungan. Selain itu, ditemukan bahwa penelitian yang dilakukan masih terutama pada industri manufaktur dan perhotelan, sementara jumlah penelitian yang dilakukan pada bidang pendidikan dan negara berkembang sangat terbatas. Menurut penelitian ini, GHRM, EGB, dan EP merupakan komponen penting dalam mendukung penguatan kinerja lingkungan organisasi secara berkelanjutan.. Kata Kunci: Green Human Resource Management; Employee Green Behavior; Environmental Performance; Sustainability; Literature Review.
PENERAPAN DIGITAL MARKETING DALAM MEMBANGUN CITRA MEREK PADA SAGA CREATIVE HUB SEBAGAI PUSAT EKONOMI KREATIF Yana Diana; Vina Arnita
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.v9i3.6517

Abstract

Abstract: Advances in digital technology are encouraging players in the creative economy to adopt more effective and sustainable marketing strategies. This study aims to analyse the role of digital marketing strategies in building the image of Saga Creative Hub as a hub for the creative economy. The method used in this study is a qualitative descriptive approach, with data collected through observation, interviews and documentation of the digital promotional activities carried out by Saga Creative Hub. The results of the study indicate that the use of social media, particularly Instagram, the consistent creation of creative content, and well-planned digital communication are capable of increasing brand awareness, audience engagement, and strengthening the image of Saga Creative Hub as a space for collaboration and innovation. Digital marketing strategies also contribute to expanding the creative community network and enhancing appeal for MSME practitioners and the general public. The conclusion of this study emphasises that the implementation of appropriate and sustainable digital marketing strategies plays a strategic role in building the image of creative economy institutions. It is hoped that this study will serve as a reference for creative hub managers and creative economy practitioners in developing effective digital promotion strategies. Keywords: digital marketing, brand image, creative economy, creative hub, social media   Abstrak: Perkembangan teknologi digital mendorong pelaku ekonomi kreatif untuk mengadaptasi strategi pemasaran yang lebih efektif dan berkelanjutan. Penelitian ini bertujuan untuk menganalisis peran strategi digital marketing dalam membangun citra Saga Creative Hub sebagai pusat ekonomi kreatif. Metode yang digunakan dalam penelitian ini adalah pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi terhadap aktivitas promosi digital yang dilakukan oleh Saga Creative Hub. Hasil penelitian menunjukkan bahwa pemanfaatan media sosial, khususnya Instagram, pembuatan konten kreatif yang konsisten, serta komunikasi digital yang terencana mampu meningkatkan brand awareness, engagement audiens, dan memperkuat citra Saga Creative Hub sebagai ruang kolaborasi dan inovasi. Strategi digital marketing juga berkontribusi dalam memperluas jejaring komunitas kreatif serta meningkatkan daya tarik bagi pelaku UMKM dan masyarakat. Kesimpulan dari penelitian ini menegaskan bahwa implementasi strategi digital marketing yang tepat dan berkesinambungan memiliki peran strategis dalam membangun citra lembaga ekonomi kreatif. Penelitian ini diharapkan dapat menjadi referensi bagi pengelola creative hub dan pelaku ekonomi kreatif dalam mengembangkan strategi promosi digital yang efektif. Kata Kunci: digital marketing, citra merek, ekonomi kreatif, creative hub, media sosial
STRATEGI DAN IMPLEMENTASI PENINGKATAN KUALITAS SUMBER DAYA MANUSIA DI PERGURUAN TINGGI Aries Sundoro; Novi Irwansyah; Aries Setiawan; Lesna Purnawan; Kuntartoadi Twijugo
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.v9i3.6518

Abstract

Abstract: Enhancing the quality of human resources (HR) in higher education is a crucial factor in supporting the excellence of teaching, research, and community service. This study aims to identify effective strategies and implementations for HR development within universities. A descriptive qualitative method was used, employing a case study approach in several higher education institutions in Indonesia. The findings reveal that HR quality improvement strategies include faculty training and competency development, academic degree advancement, implementation of a reward and punishment system, and strengthening a professional work culture. Implementation of these strategies faces several challenges, such as budget constraints, resistance to change, and the lack of integrated HR management. Nevertheless, with visionary leadership and institutional policy support, HR development can be pursued sustainably. This study recommends the importance of synergy among university leaders, faculty members, and administrative staff in fostering a conducive work environment for HR quality enhancement. Keywords: Human Resource Quality, Higher Education, Strategy, Implementation   Abstrak: Meningkatkan kualitas sumber daya manusia (SDM) di pendidikan tinggi merupakan faktor penting dalam mendukung keunggulan pengajaran, penelitian, dan pengabdian masyarakat. Studi ini bertujuan untuk mengidentifikasi strategi dan implementasi yang efektif untuk pengembangan SDM di dalam universitas. Metode kualitatif deskriptif digunakan, dengan menggunakan pendekatan studi kasus di beberapa institusi pendidikan tinggi di Indonesia. Temuan menunjukkan bahwa strategi peningkatan kualitas SDM meliputi pelatihan dan pengembangan kompetensi dosen, peningkatan gelar akademik, implementasi sistem penghargaan dan hukuman, dan penguatan budaya kerja profesional. Implementasi strategi ini menghadapi beberapa tantangan, seperti kendala anggaran, resistensi terhadap perubahan, dan kurangnya manajemen SDM yang terintegrasi. Namun demikian, dengan kepemimpinan visioner dan dukungan kebijakan institusional, pengembangan SDM dapat dilakukan secara berkelanjutan. Studi ini merekomendasikan pentingnya sinergi antara pimpinan universitas, anggota fakultas, dan staf administrasi dalam membina lingkungan kerja yang kondusif untuk peningkatan kualitas SDM. Kata kunci: Kualitas Sumber Daya Manusia, Pendidikan Tinggi, Strategi, Implementasi
PEMODELAN PERTUMBUHAN PENDUDUK KABUPATEN ASAHAN MENGGUNAKAN PERSAMAAN DIFERENSIAL MODEL EKSPONENSIAL DAN MAPE Sisca Sri Dewi Saragih; Khofifa Romaito Siregar; Nayla Aiwina Putri
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.v9i3.6521

Abstract

Abstract: Population growth is an important factor in regional development planning because it affects the provision of public services and infrastructure. This study aims to model the population growth of Asahan Regency using an exponential differential equation and evaluate the accuracy of the resulting predictions. A descriptive quantitative approach was employed using population data from Asahan Regency for the period 2021–2025 obtained from the Central Bureau of Statistics (BPS). The analysis involved constructing several exponential growth models and assessing their predictive performance using the Mean Absolute Percentage Error (MAPE). The results indicate that Exponential Model IV is the most accurate model, with a MAPE value of 0.2646%. Based on this model, the population of Asahan Regency is projected to increase from 838,852 people in 2026 to 898,377 people in 2030. These findings demonstrate that the exponential differential equation model provides highly accurate short-term population forecasts and can be utilized as a reference for regional planning and policy formulation related to population growth. Keywords: population growth; exponential model; differential equation; population projection; MAPE.   Abstrak: Pertumbuhan penduduk merupakan faktor penting dalam perencanaan pembangunan daerah karena memengaruhi kebutuhan layanan publik dan infrastruktur. Penelitian ini bertujuan memodelkan pertumbuhan penduduk Kabupaten Asahan menggunakan persamaan diferensial eksponensial serta mengevaluasi tingkat akurasi prediksinya. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data jumlah penduduk Kabupaten Asahan tahun 2021–2025 yang diperoleh dari Badan Pusat Statistik (BPS). Analisis dilakukan melalui pembentukan beberapa model pertumbuhan eksponensial dan pengujian akurasi menggunakan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa Model Eksponensial IV merupakan model terbaik dengan nilai MAPE sebesar 0,2646%. Berdasarkan model tersebut, jumlah penduduk Kabupaten Asahan diproyeksikan meningkat dari 838.852 jiwa pada tahun 2026 menjadi 898.377 jiwa pada tahun 2030. Hasil penelitian menunjukkan bahwa model eksponensial memiliki tingkat akurasi yang sangat baik dan dapat digunakan untuk memproyeksikan pertumbuhan penduduk Kabupaten Asahan dalam jangka pendek.. Kata kunci: pertumbuhan penduduk; persamaan diferensial; model eksponensial; proyeksi penduduk; MAPE.
PENGARUH BEBAN KERJA DAN STRES KERJA TERHADAP KINERJA APARATUR SIPIL NEGARA Dika Irawan; Novit Hidayat; Hakmal Lisauda; Nurhayati
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.v9i3.6527

Abstract

Abstract: This study aims to analyze the effect of workload and job stress on the performance of Civil Servants (ASN). Employee performance is an essential factor in achieving effective public administration and service delivery. An appropriate workload can encourage employees to perform more productively, while excessive job stress may reduce their performance. Therefore, this study investigates the influence of these two variables on the performance of civil servants.  This research employed a quantitative approach using a survey method. The population consisted of 162 civil servants working at the SATPOL PP Office of Indragiri Hilir Regency. The sample size was determined using the Slovin formula with a 5% margin of error, resulting in 116 respondents. Data were collected through questionnaires measured on a five-point Likert scale. The collected data were analyzed using multiple linear regression with the assistance of Statistical Package for the Social Sciences (SPSS). The results indicate that workload has a positive and significant effect on employee performance, with a regression coefficient of 0.722 and a significance value of 0.000. Conversely, job stress has a negative and significant effect on employee performance, with a regression coefficient of -0.125 and a significance value of 0.005. Simultaneously, workload and job stress significantly affect employee performance, as evidenced by an F-value of 229.528 and a significance level of 0.000. Furthermore, the coefficient of determination (R²) of 0.802 indicates that 80.2% of the variation in employee performance can be explained by workload and job stress, while the remaining 19.8% is influenced by other factors not examined in this study. Effective workload management and job stress control are therefore crucial for improving civil servant performance. Keywords: Workload; Job Stress; Employee Performance; Civil Servants Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh beban kerja dan stres kerja terhadap kinerja Aparatur Sipil Negara (ASN). Kinerja ASN merupakan salah satu faktor penting dalam mewujudkan efektivitas penyelenggaraan pemerintahan dan pelayanan publik. Beban kerja yang sesuai dapat mendorong peningkatan produktivitas pegawai, sedangkan stres kerja yang berlebihan berpotensi menurunkan kinerja. Oleh karena itu, penelitian ini dilakukan untuk mengetahui pengaruh kedua variabel tersebut terhadap kinerja ASN. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Populasi penelitian berjumlah 162 ASN pada Kantor SATPOL PP Kabupaten Indragiri Hilir. Penentuan sampel menggunakan rumus Slovin dengan tingkat kesalahan 5%, sehingga diperoleh sampel sebanyak 116 responden. Teknik pengumpulan data dilakukan melalui penyebaran kuesioner dengan skala Likert. Data dianalisis menggunakan regresi linear berganda dengan bantuan program Statistical Package for Social Sciences (SPSS). Hasil penelitian menunjukkan bahwa beban kerja berpengaruh positif dan signifikan terhadap kinerja ASN dengan nilai koefisien regresi sebesar 0,722 dan nilai signifikansi 0,000. Sementara itu, stres kerja berpengaruh negatif dan signifikan terhadap kinerja ASN dengan nilai koefisien regresi sebesar -0,125 dan nilai signifikansi 0,005. Secara simultan, beban kerja dan stres kerja berpengaruh signifikan terhadap kinerja ASN dengan nilai F-hitung sebesar 229,528 dan signifikansi 0,000. Nilai koefisien determinasi (R²) sebesar 0,802 menunjukkan bahwa 80,2% variasi kinerja ASN dapat dijelaskan oleh beban kerja dan stres kerja, sedangkan sisanya sebesar 19,8% dipengaruhi oleh faktor lain di luar penelitian. Dengan demikian, pengelolaan beban kerja yang tepat dan pengendalian stres kerja menjadi faktor penting dalam meningkatkan kinerja ASN. Kata kunci: Beban Kerja; Stres Kerja; Kinerja ASN; Aparatur Sipil Negara

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