Garuda - Garba Rujukan Digital

DIGITALISASI ORGANISASI DAN DINAMIKA KEPUASAN KERJA: ANALISIS SINTESIS TERHADAP KINERJA KARYAWAN DI ERA TRANSFORMASI DIGITAL Hartutik, Dwi; Lastri, Novelma; Aditiya, Variza; Musdiana, Andi Desy; Suprasman, Suprasman
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5821

Abstract: Organizational digitalization has transformed workplace dynamics, influencing employee job satisfaction and performance outcomes. This study synthesizes findings from three Indonesian journal studies focusing on digital transformation, digital work environments, and human resource performance in the context of organizational modernization. Using a qualitative literature synthesis approach, the research integrates methodological and empirical insights to explore how digital adoption affects employee behavior and organizational outcomes. The findings indicate that digital technologies improve efficiency, collaboration, and flexibility, which contribute positively to employee performance. However, challenges such as digital competence gaps, technostress, and organizational adaptation remain critical issues. The study highlights that digital leadership, organizational support, and employee capability development play key roles in enhancing job satisfaction during digital transformation. This synthesis contributes to understanding how Indonesian organizations can optimize digital transformation strategies to achieve sustainable employee performance and organizational effectiveness. Keywords: digital transformation, job satisfaction, employee performance, Indonesian organizations. Abstrak: Digitalisasi organisasi telah mengubah dinamika lingkungan kerja dan memengaruhi kepuasan kerja serta kinerja karyawan. Penelitian ini mensintesis temuan dari tiga jurnal Indonesia yang membahas transformasi digital, lingkungan kerja digital, dan kinerja sumber daya manusia dalam konteks modernisasi organisasi. Dengan menggunakan pendekatan sintesis literatur kualitatif, penelitian ini mengintegrasikan wawasan metodologis dan empiris untuk memahami bagaimana adopsi teknologi digital memengaruhi perilaku karyawan dan hasil organisasi. Temuan menunjukkan bahwa teknologi digital meningkatkan efisiensi, kolaborasi, dan fleksibilitas kerja yang berdampak positif terhadap kinerja karyawan. Namun, tantangan seperti kesenjangan kompetensi digital, technostress, dan adaptasi organisasi masih menjadi isu penting. Studi ini menekankan peran kepemimpinan digital, dukungan organisasi, serta pengembangan kompetensi karyawan dalam meningkatkan kepuasan kerja selama proses transformasi digital. Kata Kunci: Transformasi Digital, Kepuasan Kerja, Kinerja Karyawan, Organisasi Indonesia.

AKTIVASI TEKNOLOGI DIGITAL KBBI VI DALAM MENGANALISIS DIKSI, RAGAM BAHASA DAN MAKNA LAGU ASMALIBRASI Maulidiah, Rina Hayati; Fitrianti, Eva
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.v8i4.5241

Abstract: This study aims to describe the activation of digital technology from the Big Indonesian Dictionary (KBBI) VI edition in analyzing the diction in the song Asmalibrasi. The use of this digital dictionary is considered important as a source of information in searching for word meanings according to the Indonesian dictionary online. Then the researcher is also interested in knowing the meaning of the song, as well as what language variations are found in the song. The researcher's interest in this song began with the song's title which is considered unique, with its unusual choice of words but has an element of beauty. This makes the researcher interested in finding out what the words of the song title mean and several other word choices so that they can find the intended meaning. Based on the analysis, it is known that the meaning of the song is telling about a relationship that has found a point of similarity "frequency" or compatibility of all aspects sought to continue a relationship to a serious level. Lowering the ego of each partner is a solution so that a relationship can run smoothly. Meanwhile, the language variations found in the song are a variety of languages, Javanese, and Sanskrit. Keyword: diction and language variety, digital technology, meaning of the asmalibrasi song Abstrak: Penelitian ini bertujuan mendeskripsikan aktivasi teknologi digital Kamus Besar Bahasa Indonesia (KBBI) edisi VI dalam menganalisis diksi pada lagu Asmalibrasi. Penggunaan kamus digital ini dianggp penting sebagai salah satu sumber informasi dalam mencari arti kata sesuai dengan kamus Bahasa Indonesia secara online. Kemudian peneliti juga tertarik untuk mengetahui makna lagu, serta ragam Bahasa apa saja yang terdapat pada lagu tersebut. Ketertarikan peneliti pada lagu ini berawal dari judul lagu tersebut yang dianggap unik, dengan pemilihan kata-kata yang tidak biasa namun memiliki unsur keindahan. Hal ini yang menjadi ketertarikan peneliti untuk mencari tahu apa arti kata dari judul lagu tersebut serta beberapa pilihan kata lainnya sehingga dapat menemukan makna yang ingin disampaikan. Berdasarkan analisis diketahui bahwa makna lagu tersebut yaitu menceritakan tentang sebuah hubungan yang telah menemukan titik persamaan "frekuensi" atau kecocokan dari segala aspek yang dicari untuk melanjutkan sebuah hubungan ke jenjang yang serius. Penurunan ego dari tiap pasangan menjadi solusi agar sebuah hubungan bisa berjalan dengan lancer. Sedangkan ragam Bahasa yang ditemukan dalam lagu tersebut adalah ragam Bahasa, Jawa, Melayu, dan Sansekerta.Kata Kunci: diksi dan ragam bahasa, makna lagu asmalibrasi, teknologi digital.

STRATEGI GURU DALAM MENANAMKAN NILAI-NILAI DISIPLIN PADA PESERTA DIDIK SMA MUHAMMADIYAH Hidayah, Ridho; Asmara, Nia; Azizah, Nur; Marti, Pipin Danu
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5851

Abstract: This study aims to analyze teachers’ strategies in instilling discipline values among students at Muhammadiyah Senior High School. Discipline is considered an essential character value that supports students’ academic achievement and moral development. This research employed a qualitative descriptive approach to obtain an in-depth understanding of how teachers implement discipline-oriented strategies in the school environment. The research subjects included subject teachers, Islamic education teachers, and school staff who play a role in fostering student discipline. Data were collected through in-depth interviews, observations, and documentation. The collected data were analyzed using data reduction, data display, and conclusion drawing techniques, while data validity was ensured through source and technique triangulation. The findings reveal that teachers apply various strategies to instill discipline values, including role modeling, habituation through school rules, effective classroom management, and the integration of discipline values into the learning process. Teachers consistently demonstrate disciplined behavior, such as punctuality and responsibility, which positively influences students’ attitudes. In addition, the implementation of clear and consistent school regulations helps students develop disciplined habits in their daily activities. The integration of technology-based learning also supports discipline by training students to manage time, complete assignments responsibly, and use digital media ethically. Furthermore, the application of educational reward and punishment strengthens students’ motivation and awareness of discipline. Overall, teachers’ strategies have proven effective in fostering students’ discipline and character development. This study concludes that teachers play a crucial role in shaping students’ discipline through comprehensive, consistent, and value-based educational practices. Keyword: Discipline Values; Teacher Strategies; Character Education Abstrak: Penelitian ini bertujuan untuk menganalisis strategi guru dalam menanamkan nilai-nilai disiplin di kalangan siswa SMA Muhammadiyah. Disiplin dianggap sebagai nilai karakter penting yang mendukung prestasi akademik dan perkembangan moral siswa. Penelitian ini menggunakan pendekatan deskriptif kualitatif untuk memperoleh pemahaman mendalam tentang bagaimana guru menerapkan strategi berorientasi disiplin di lingkungan sekolah. Subjek penelitian meliputi guru mata pelajaran, guru pendidikan agama Islam, dan staf sekolah yang berperan dalam membina kedisiplinan siswa. Data dikumpulkan melalui wawancara mendalam, observasi, dan dokumentasi. Data yang dikumpulkan dianalisis menggunakan teknik reduksi data, penyajian data, dan penarikan kesimpulan, sedangkan validitas data dipastikan melalui triangulasi sumber dan teknik. Hasil penelitian menunjukkan bahwa guru menerapkan berbagai strategi untuk menanamkan nilai-nilai disiplin, termasuk teladan, pembiasaan melalui peraturan sekolah, manajemen kelas yang efektif, dan integrasi nilai-nilai disiplin ke dalam proses pembelajaran. Guru secara konsisten menunjukkan perilaku disiplin, seperti ketepatan waktu dan tanggung jawab, yang secara positif memengaruhi sikap siswa. Selain itu, penerapan peraturan sekolah yang jelas dan konsisten membantu siswa mengembangkan kebiasaan disiplin dalam kegiatan sehari-hari mereka. Integrasi pembelajaran berbasis teknologi juga mendukung disiplin dengan melatih siswa untuk mengatur waktu, menyelesaikan tugas secara bertanggung jawab, dan menggunakan media digital secara etis. Lebih lanjut, penerapan penghargaan dan hukuman pendidikan memperkuat motivasi dan kesadaran siswa akan disiplin. Secara keseluruhan, strategi guru telah terbukti efektif dalam menumbuhkan disiplin dan pengembangan karakter siswa. Studi ini menyimpulkan bahwa guru memainkan peran penting dalam membentuk disiplin siswa melalui praktik pendidikan yang komprehensif, konsisten, dan berbasis nilai. Kata kunci: Nilai Disiplin; Strategi Guru; Pendidikan Karakter

IMPLEMENTASI ALGORITMA K-MEANS UNTUK SEGMENTASI PRODUK MAKANAN BERDASARKAN HARGA DAN RATING PADA GOFOOD Saragih, Irma Sari Dewi; Sitorus, Zunaida
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5736

Abstract: This study aims to apply the K-Means algorithm for food product segmentation on the GoFood service based on price and rating variables. The large variety of available products makes data difficult to analyze without systematic grouping, necessitating a method capable of automatically clustering data so that patterns and characteristics become clearer. The K-Means algorithm was chosen for its simple, fast, and effective computational process in dividing data based on distance similarity. The research process includes collecting public datasets, determining the number of clusters, selecting initial centroids, calculating distances using Euclidean Distance, grouping data to the nearest cluster, and iteratively updating centroids until convergence is achieved. Results show that K-Means successfully grouped data into three clusters: Cluster 1 with high price and high rating, Cluster 2 with moderate price and highest rating, and Cluster 3 with low price and very high rating. This study produced a web-based system that automatically processes data and displays clustering results in an easily understandable interface. Keywords: K-Means, Clustering, Segmentation, GoFood, Data Mining Abstrak: Penelitian ini bertujuan menerapkan algoritma K-Means untuk segmentasi produk makanan pada layanan GoFood berdasarkan variabel harga dan rating. Banyaknya variasi produk menyebabkan data sulit dianalisis tanpa pengelompokan sistematis, sehingga diperlukan metode yang mampu mengelompokkan data secara otomatis agar pola dan karakteristik terlihat lebih jelas. Algoritma K-Means dipilih karena memiliki proses perhitungan yang sederhana, cepat, dan efektif dalam membagi data berdasarkan tingkat kemiripan jarak. Proses penelitian meliputi pengumpulan dataset publik, penentuan jumlah cluster, pemilihan centroid awal, perhitungan jarak menggunakan Euclidean Distance, pengelompokan data ke cluster terdekat, hingga pembaruan centroid secara iteratif sampai kondisi konvergen tercapai. Hasil penelitian menunjukkan K-Means berhasil mengelompokkan data ke dalam tiga cluster: Cluster 1 dengan harga tinggi dan rating tinggi, Cluster 2 dengan harga sedang dan rating tertinggi, serta Cluster 3 dengan harga rendah dan rating sangat tinggi. Penelitian ini menghasilkan sistem berbasis web yang mengolah data secara otomatis dan menampilkan hasil clustering dalam tampilan mudah dipahami. Kata kunci: K-Means, Clustering, Segmentasi, GoFood, Data Mining

TRANSFORMASI SOSIAL DAN NILAI RESIPROSITAS DALAM TRADISI PASAJI PONAN PADA MASYARAKAT SUMBAWA KONTENPORER Utami, Endang
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5121

Abstrak: The Pasaji Ponan tradition is a longstanding reciprocity practice that plays a central role in the social life of Sumbawa communities. It functions not only as a system of material exchange and mutual assistance but also as a mechanism for strengthening solidarity and preserving cultural identity. However, modernization, technological development, and shifts in social structure have influenced the form and meaning of this practice. This study employs a qualitative approach using mini ethnography to examine how social transformation affects the values of reciprocity within Pasaji Ponan in contemporary Sumbawa society. Data were collected through participant observation, in-depth interviews, and documentation. The findings reveal that Pasaji Ponan has undergone changes in the forms of exchange from agricultural products to processed foods and financial contributions and in coordination mechanisms that now often occur through digital platforms. Nevertheless, the core values of reciprocity, solidarity, and social honor remain intact. These adaptations demonstrate that Pasaji Ponan is not a static tradition but a flexible cultural practice capable of negotiating with social change. This study concludes that Pasaji Ponan remains relevant as a form of social capital and a marker of cultural identity among the people of Sumbawa. Keyword: Pasaji Ponan, reciprocity, social transformation. Abstrak: Tradisi Pasaji Ponan merupakan praktik resiprositas yang telah lama menjadi bagian penting dari kehidupan sosial masyarakat Sumbawa. Tradisi ini tidak hanya berfungsi sebagai mekanisme pertukaran barang dan bantuan, tetapi juga sebagai penguat solidaritas dan identitas budaya. Namun, modernisasi, perkembangan teknologi, dan perubahan struktur sosial telah memengaruhi bentuk dan makna praktik ini. Penelitian ini menggunakan pendekatan kualitatif dengan etnografi mini untuk menganalisis bagaimana transformasi sosial memengaruhi nilai resiprositas dalam Pasaji Ponan pada masyarakat Sumbawa kontemporer. Data diperoleh melalui observasi partisipan, wawancara mendalam, dan dokumentasi. Hasil penelitian menunjukkan bahwa Pasaji Ponan mengalami perubahan bentuk pemberian dari hasil pertanian menuju makanan olahan dan bantuan finansial serta pergeseran mekanisme koordinasi melalui media digital. Meskipun demikian, nilai inti resiprositas, solidaritas, dan kehormatan sosial tetap dipertahankan. Adaptasi ini membuktikan bahwa Pasaji Ponan bukan tradisi statis, melainkan praktik budaya yang fleksibel dan mampu bernegosiasi dengan perubahan zaman. Penelitian ini menegaskan bahwa Pasaji Ponan tetap relevan sebagai modal sosial dan identitas budaya masyarakat Sumbawa. Kata kunci: Pasaji Ponan, resiprositas, transformasi sosial.

PENGARUH MOTIVASI KERJA, BEBAN KERJA, TEAM WORK TERHADAP KINERJA PEGAWAI PADA PT. KOPERASI TELEKOMUNIKASI SELULAR (KISEL) REGIONAL I PROVINSI SUMATERA UTARA Syahputra, Reza; Lumbanraja, Prihatin; Aritonga, Evawany Yunita
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5781

Abstract: This study aims to determine the extent of influence of work motivation, workload level, and teamwork on employee performance at PT. Koperasi Telekomunikasi Selular (Kisel) Regional I North Sumatra. The approach used in this study is a quantitative method with an associative research type. The number of samples consisted of 110 respondents selected through incidental sampling techniques and calculations using the Slovin formula with an error rate of 10%. The results of the study revealed that work motivation (X1) is the most dominant and significant factor in influencing employee performance, indicated by a significance value of 0.000 and a t-count value of 4.864. In addition, workload (X2) also has a significant influence with a significance value of 0.020, followed by the teamwork variable (X3) which also has a significant influence with a significance of 0.040. These three variables together are proven to have a significant influence on employee performance, as indicated by the results of the F test with a significance value of 0.000. The regression model in this study was able to explain 27.8% of the variation in employee performance (R² = 0.278), while the remaining 72.2% was explained by other variables not included in the model. These results indicate that efforts to improve employee performance can be done through strengthening motivation, balancing workload arrangements, and increasing the effectiveness of teamwork. Keywords: Work Motivation, Workload, Teamwork and Employee Performance Abstrak: Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh motivasi kerja, tingkat beban kerja, serta kerja tim terhadap kinerja karyawan di PT. Koperasi Telekomunikasi Selular (Kisel) Regional I Sumatera Utara. Pendekatan yang digunakan dalam penelitian ini adalah metode kuantitatif dengan jenis penelitian asosiatif. Jumlah sampel terdiri dari 110 responden yang dipilih melalui teknik insidental sampling dan perhitungan menggunakan rumus Slovin dengan tingkat kesalahan 10%. Hasil penelitian mengungkapkan bahwa motivasi kerja (X1) menjadi faktor paling dominan dan signifikan dalam mempengaruhi kinerja karyawan, ditunjukkan dengan nilai signifikansi sebesar 0,000 dan nilai t-hitung sebesar 4,864. Selain itu, beban kerja (X2) juga memiliki pengaruh signifikan dengan nilai signifikansi 0,020, diikuti oleh variabel kerja sama tim (X3) yang turut memberikan pengaruh signifikan dengan signifikansi 0,040. Ketiga variabel tersebut secara bersama-sama terbukti memiliki pengaruh signifikan terhadap kinerja karyawan, sebagaimana ditunjukkan oleh hasil uji F dengan nilai signifikansi 0,000. Model regresi dalam penelitian ini mampu menjelaskan 27,8% dari variasi kinerja pegawai (R2 = 0,278), sementara sisanya, sebesar 72,2%, dijelaskan oleh variabel lain yang tidak termasuk dalam model. Hasil ini menunjukkan bahwa upaya untuk meningkatkan kinerja karyawan dapat dilakukan melalui penguatan motivasi, pengaturan beban kerja yang seimbang, serta peningkatan efektivitas kerja sama dalam tim. Kata kunci: Motivasi Kerja, Beban Kerja, Kerja Sama Tim dan Kinerja Karyawan

IMPLEMENTATION OF THE INTERNET OF THINGS IN CREATING SMART CLASSROOMS Ginting, Subhan Hafiz Nanda; Wahyuni, Dewi; Sridewi, Nurmala; Wayahdi, M. Rhifky; Darma, Surya
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5806

Abstract: The development of digital technology has driven the transformation of educational services through the implementation of data-based learning systems and smart devices. One of the emerging approaches is the use of the Internet of Things (IoT) in building smart classrooms, which are classrooms capable of integrating physical devices, sensors, and information systems to improve learning efficiency and learning environment management. This study aims to analyze the implementation of IoT in the formation of smart classrooms, covering aspects of system design, device integration, and evaluation of its effectiveness in supporting the teaching and learning process. The research method used is a quantitative and experimental approach, by designing an IoT-based smart classroom prototype that integrates temperature, humidity, light intensity, and presence detection sensors, as well as device control such as lights, air conditioning, and projectors through an automatic system and remote control. Data was collected through device performance measurements, network stability tests, and questionnaires distributed to users (teachers and students) to assess the system's ease of use and usefulness. The results showed that the implementation of IoT in classrooms can improve the efficiency of facility management through device automation, facilitate real-time monitoring of classroom conditions, and provide a more comfortable and responsive learning environment. In addition, the developed system demonstrated stable data communication performance with low latency within acceptable operational limits. These findings indicate that the application of IoT in smart classrooms has the potential to contribute significantly to improving the quality of learning and classroom management, particularly in supporting a technology-based education ecosystem. This study recommends further development in the areas of data security, device interoperability, and integration with Learning Management Systems (LMS) to strengthen the sustainable implementation of smart classrooms. Keywords: Internet of Things, Smart Classroom, Classroom Automation, Sensors, Technology Based Education. Abstrak: Perkembangan teknologi digital mendorong transformasi layanan pendidikan melalui penerapan sistem pembelajaran berbasis data dan perangkat cerdas. Salah satu pendekatan yang berkembang adalah pemanfaatan Internet of Things (IoT) dalam membangun smart classroom, yaitu ruang kelas yang mampu mengintegrasikan perangkat fisik, sensor, serta sistem informasi untuk meningkatkan efisiensi pembelajaran dan pengelolaan lingkungan belajar. Penelitian ini bertujuan untuk menganalisis implementasi IoT dalam pembentukan smart classroom, mencakup aspek desain sistem, integrasi perangkat, serta evaluasi efektivitasnya dalam mendukung proses belajar mengajar. Metode penelitian yang digunakan adalah pendekatan kuantitatif dan eksperimental, dengan merancang prototipe smart classroom berbasis IoT yang mengintegrasikan sensor suhu, kelembapan, intensitas cahaya, deteksi kehadiran, serta pengendalian perangkat seperti lampu, pendingin ruangan, dan proyektor melalui sistem otomatis maupun kendali jarak jauh. Data dikumpulkan melalui pengukuran kinerja perangkat, uji stabilitas jaringan, serta penyebaran kuesioner kepada pengguna (guru dan siswa) untuk menilai tingkat kemudahan penggunaan dan kebermanfaatan sistem. Hasil penelitian menunjukkan bahwa implementasi IoT pada ruang kelas mampu meningkatkan efisiensi pengelolaan fasilitas melalui otomasi perangkat, mempermudah monitoring kondisi kelas secara real-time, serta memberikan dukungan lingkungan belajar yang lebih nyaman dan responsif. Selain itu, sistem yang dikembangkan menunjukkan performa komunikasi data yang stabil dengan tingkat keterlambatan (latency) yang rendah dalam batas operasional yang dapat diterima. Temuan ini mengindikasikan bahwa penerapan IoT dalam smart classroom berpotensi memberikan kontribusi signifikan terhadap peningkatan kualitas pembelajaran dan manajemen kelas, khususnya dalam mendukung ekosistem pendidikan berbasis teknologi. Penelitian ini merekomendasikan pengembangan lanjutan pada aspek keamanan data, interoperabilitas perangkat, serta integrasi dengan Learning Management System (LMS) untuk memperkuat implementasi smart classroom secara berkelanjutan. Kata Kunci: Internet Of Things, Smart Classroom, Otomasi Ruang Kelas, Sensor, Pendidikan Berbasis Teknologi.

INTEGRASI SENSOR IOT DAN OPTIMASI ALGORITMA MACHINE LEARNING UNTUK DETEKSI REAL-TIME TINGKAT STRES MAHASISWA Andrianto, Richi; Lubis, Mustopa Husein; Irawan, Rina; Irawan, Yuda; Utami, Urfi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5178

Abstract: High levels of stress among university students are a critical issue that can affect mental health, well-being, and academic performance. This study aims to develop a real-time student stress detection system using physiological data integrated with IoT technology and machine learning algorithms. The data used includes body temperature, blood oxygen saturation (SpO₂), heart rate, and blood pressure, acquired via embedded sensors and automatically transmitted to the cloud. The classification model was built using a combination of Random Forest and XGBoost, with enhanced accuracy through SMOTE-based data balancing and hyperparameter optimization using Optuna. The system was tested on a dataset of 3,420 records, classified into four stress levels: anxious, calm, tense, and relaxed. Evaluation results showed that the Random Forest model achieved the highest accuracy of 91%, followed by RF + XGBoost and RF + XGBoost + Optuna with accuracies of 90% each. The final model was deployed in a user interface using Streamlit, allowing real-time stress classification from IoT sensor input and manual input testing. The system proved to be effective and responsive in detecting stress objectively and can support digital-based mental health monitoring and counseling services for students. Keywords: Stress detection, IoT, Machine Learning, Random Forest, XGBoost Abstrak: Tingkat stres yang tinggi di kalangan mahasiswa merupakan permasalahan serius yang dapat memengaruhi kesehatan mental, kesejahteraan, dan performa akademik. Penelitian ini bertujuan untuk mengembangkan sistem deteksi tingkat stres mahasiswa secara real-time menggunakan data fisiologis berbasis teknologi IoT dan algoritma machine learning. Data yang digunakan meliputi suhu tubuh, kadar oksigen dalam darah (SpO₂), detak jantung, dan tekanan darah yang diperoleh melalui sensor terintegrasi dan dikirim ke cloud secara otomatis. Model klasifikasi yang dikembangkan memanfaatkan kombinasi algoritma Random Forest dan XGBoost, dengan peningkatan akurasi melalui teknik balancing data menggunakan SMOTE dan optimasi hyperparameter otomatis menggunakan Optuna. Sistem diuji menggunakan dataset berjumlah 3.420 data dengan distribusi empat kelas stres: cemas, tenang, tegang, dan rileks. Hasil evaluasi menunjukkan bahwa model Random Forest menghasilkan akurasi tertinggi sebesar 91%, disusul oleh RF + XGBoost dan RF + XGBoost + Optuna dengan akurasi masing-masing sebesar 90%. Model akhir kemudian diintegrasikan ke dalam antarmuka pengguna berbasis Streamlit, yang memungkinkan klasifikasi stres secara real-time dari data sensor IoT dan juga melalui input manual. Sistem ini terbukti efektif dan responsif dalam mendeteksi stres secara objektif dan dapat digunakan untuk mendukung layanan konseling atau pemantauan kesehatan mental mahasiswa secara digital. Kata kunci: Deteksi stres, IoT, Machine Learning, Random Forest, XGBoost

AKSIOLOGI DAN ETIKA PENGGUNAAN ARTIFICIAL INTELLIGENCE DALAM PENGAMBILAN KEPUTUSAN MANAJEMEN Nasution, Donni; Feriyanto, Feriyanto; Mujiatun, Siti
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5646

The development of Artificial Intelligence (AI) has brought significant changes to managerial decision-making processes. AI is capable of improving efficiency, accuracy, and the speed of data analysis across various managerial functions. However, the utilization of AI also raises axiological and ethical issues, particularly concerning values, responsibility, transparency, fairness, and the social impacts of the decisions generated. This paper aims to examine the axiological and ethical aspects of AI usage in managerial decision-making by highlighting its benefits, risks, and associated moral implications. Through a conceptual approach and literature review, this study discusses the importance of applying ethical principles such as accountability, fairness, and human oversight in the use of AI. The findings indicate that the integration of AI in management must be accompanied by a clear value-based and ethical framework to ensure that the technology provides optimal benefits without neglecting human values and social responsibility

MODEL PERAMALAN TIME SERIES PREDIKSI MINAT MAHASISWA MENGGUNAKAN DOUBLE EXPONENTIAL SMOOTHING Manalu, Samuel Carlos A.; Aisyah, Siti; Malau, Livia Grace; Manurung, Clara Sinta Uly; Situngkir, Steven Hikari Hoshi; Naibaho, Frainskoy Rio; Agus, Raja Tama Andri; Amalia, Amalia; Radhi, Muhammad
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5876

Abstract : Changes in prospective students interest in majors university occur dynamically over time, requiring a forecasting method capable of accurately predicting interest trends. This study aims to apply the Double Exponential Smoothing (DES) method to predict the number of prospective students. The research employs a quantitative descriptive-analytical approach using secondary data on student interest from 2023 to 2025. The forecasting process is conducted using smoothing parameters for level (α) and trend (β), both set at 0.9. Furthermore, the accuracy of the forecasting model is evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the Double Exponential Smoothing method is effective in capturing the downward trend in student interest. The forecasted number of prospective students for 2026 is estimated at 462 students. Accuracy evaluation yields a MAD value of 98, an MSE of 19,208, and a MAPE of 18.63%, indicating that the forecasting error remains within an acceptable range. Therefore, the results of this study can be used as a supporting basis for strategic decision-making in planning new student admissions, strengthening promotional strategies, and managing academic resources. Keywords: forecasting time series, Double Exponential Smoothing, prediction, Student. Abstrak: Perubahan minat calon mahasiswa terhadap jurusan di perguruan tinggi terjadi secara dinamis dari waktu ke waktu, sehingga diperlukan metode peramalan yang mampu memprediksi tren peminatan secara akurat. Penelitian ini bertujuan menerapkan metode Double Exponential Smoothing (DES) dalam memprediksi jumlah minat mahasiswa. Metode penelitian yang digunakan adalah pendekatan kuantitatif deskriptif analitis dengan memanfaatkan data sekunder berupa jumlah minat mahasiswa pada tahun 2023–2025. Proses peramalan dilakukan dengan menggunakan parameter pemulusan level (α) dan tren (β) sebesar 0,9. Selanjutnya, tingkat akurasi model dievaluasi menggunakan ukuran kesalahan Mean Absolute Deviation (MAD), Mean Squared Error (MSE), dan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa metode Double Exponential Smoothing dapat menangkap pola tren penurunan jumlah minat mahasiswa secara efektif. Nilai peramalan jumlah peminat pada tahun 2026 diperkirakan sebesar 462 orang. Evaluasi akurasi menghasilkan nilai MAD sebesar 98, MSE sebesar 19.208, dan MAPE sebesar 18,63%, yang menunjukkan bahwa tingkat kesalahan peramalan masih berada dalam batas yang dapat diterima. Dengan demikian, hasil penelitian ini dapat dijadikan sebagai salah satu dasar pendukung dalam pengambilan keputusan strategis terkait perencanaan penerimaan mahasiswa baru, penguatan promosi, serta pengelolaan sumber daya akademik. Kata Kunci: forecasting time series, Double Exponential Smoothing, prediksi,Mahasiswa

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Andy Sapta

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lppm_stmik@royal.ac.id

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Andy Sapta

Contact Email saptaandy@gmail.com

Phone -

Journal Mail Official lppm_stmik@royal.ac.id

Editorial Address -

Location , INDONESIA

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