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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 4,065 Documents
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SISTEM INFORMASI E-RAPOR PADA MADRASAH ALIYAH SWASTAS (MAS) AL MA`ARIF NU MENGGUNAKAN METODE RAD (RAPID APPLICATION DEVELOPMENT) BERBASIS WEB Jacky Andre Prastya; Nova Mayasari
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4069

Abstract

Abstract: The web-based e-Rapor information system is an innovative solution to improve the efficiency and accuracy of student grade management at the Al Ma'arif NU Private Islamic Senior High School (MAS). The assessment process that was previously carried out manually often faced obstacles such as recording errors, delays in delivering results, and difficulties in storing and archiving data. Therefore, this study aims to design and develop a web-based e-Rapor system by implementing the Rapid Application Development (RAD) method to accelerate the process of developing an effective and responsive system to user needs. The RAD method was chosen because it is able to accelerate the software development cycle with an iterative approach that involves users in every stage, from planning, designing, to implementation. This system is designed with main features including student data management, inputting grades by teachers, automatic grade processing, and presenting grade reports in digital form that can be accessed by guardians and schools. The technology used in developing this system includes a web-based framework that supports system flexibility and scalability. The results of the study indicate that the developed e-Rapor system is able to increase efficiency in processing grades, reduce the potential for recording errors, and accelerate the distribution of academic reports to students and parents. With this system, the school can manage student academic data in a more structured and transparent manner. The conclusion of this study confirms that the application of the RAD method in the development of a web-based e-Rapor system at MAS Al Ma'arif NU has a positive impact on improving the quality of academic data management and providing easy access to information for all related parties. Keywords: Information System, E-Report, Rapid Application Development, Web,                 Madrasah Aliyah Abstrak: Sistem informasi e-Rapor berbasis web dirancang untuk meningkatkan efisiensi, akurasi, dan transparansi dalam pengelolaan nilai siswa di Madrasah Aliyah Swasta (MAS) Al Ma’arif NU. Proses penilaian yang sebelumnya dilakukan secara manual sering menghadapi kendala seperti kesalahan pencatatan, keterlambatan penyampaian hasil, serta kesulitan dalam penyimpanan data akademik. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem e-Rapor berbasis web menggunakan metode Rapid Application Development (RAD) guna mempercepat proses pengembangan sistem serta menyesuaikan fungsionalitasnya dengan kebutuhan pengguna. Metode RAD diterapkan karena memiliki pendekatan iteratif yang memungkinkan pengembangan perangkat lunak lebih cepat dengan keterlibatan aktif pengguna dalam setiap tahapannya, mulai dari perencanaan, perancangan, pembangunan, hingga implementasi. Sistem ini menyediakan fitur utama seperti manajemen data siswa, penginputan nilai oleh guru, pengolahan nilai otomatis, serta penyajian laporan akademik digital yang dapat diakses oleh siswa, wali murid, dan pihak sekolah. Teknologi berbasis web digunakan untuk memastikan fleksibilitas, kemudahan akses, serta keamanan data akademik yang tersimpan dalam sistem. Hasil penelitian menunjukkan bahwa sistem e-Rapor yang dikembangkan mampu meningkatkan efisiensi dalam pengelolaan nilai, mengurangi kesalahan pencatatan, serta mempercepat distribusi laporan akademik. Dengan penerapan sistem ini, pihak sekolah dapat mengelola data akademik secara lebih terstruktur, akurat, dan transparan, sehingga mendukung efektivitas proses pembelajaran dan evaluasi akademik. Kata kunci: Sistem Informasi, E-Rapor, Rapid Application Development, Web, Madrasah Aliyah
PENERAPAN TEKNOLOGI DEEP LEARNING DENGAN YOLOV4 DAN ALGORITMA SEGMENTASI SEMANTIK UNTUK MENDETEKSI JALAN BERLUBANG DALAM PENINGKATAN INFRASTRUKTUR TRANSPORTASI Muhammad Amin; Irianto Irianto; Feby Ariska
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4070

Abstract

Abstract: Potholes are a serious problem in transportation infrastructure that directly impacts driver safety and travel efficiency. This study proposes a deep learning-based method by integrating the YOLOv4 algorithm for rapid object detection and using semantic segmentation to produce more precise pixel image analysis of various forms of potholes. The YOLOv4 method (You Only Look Once version 4) is used as the main algorithm in the object detection process because of its ability to identify objects in real-time with high speed and optimal accuracy. This study lies in a hybrid approach between object detection using YOLOv4 and semantic segmentation with DeepLab, which enables the system to recognize potholes. Testing was carried out using two methods: by inputting images (PNG/JPG) and using real-time video input via webcam. The dataset used was 1,561 images with various variants of road damage, which were annotated and labeled using Roboflow. The test results of the YOLOv4 model showed a detection accuracy ranging from 90–92%, with the highest performance of 95% for large potholes at close range, and a minimum of 59% for small potholes at long distances. These results confirm the effectiveness of YOLOv4 in quickly and accurately detecting potholes across various road conditions. This research is expected to contribute to the automation of road infrastructure maintenance systems, reduce the risk of traffic accidents, and improve the comfort and safety of road users.Keywords: pothole detection; YOLOv4; deep learning; semantic segmentation; transportation infrastructureAbstrak: Kerusakan jalan berlubang menjadi permasalahan serius dalam infrastruktur transportasi yang berdampak langsung terhadap keselamatan pengendara dan efisiensi perjalanan. Penelitian ini mengusulkan metode berbasis deep learning dengan mengintegrasikan algoritma YOLOv4 untuk deteksi objek secara cepat dan menggunakan  segmentasi semantik guna menghasilkan analisis gambar piksel yang lebih presisi terhadap berbagai bentuk jalan berlubang. Metode YOLOv4 (You Only Look Once versi 4) digunakan sebagai algoritma utama dalam proses deteksi objek karena kemampuannya dalam melakukan identifikasi objek secara real-time dengan kecepatan tinggi dan akurasi yang optimal. Penelitian ini terletak pada pendekatan hibrida antara deteksi objek menggunakan YOLOv4 dan segmentasi semantik dengan DeepLab, yang memungkinkan sistem dapat mengenali jalan berlubang. Pengujian dilakukan dengan dua metode yaitu dengan cara input menggunakan citra (PNG/JPG) dan menggunakan input video real-time melalui webcam. Dataset yang digunakan berjumlah 1.561 citra dengan berbagai varian kerusakan jalan, yang dianotasi dan dilabeli menggunakan Roboflow. Hasil pengujian model YOLOv4 menunjukkan akurasi deteksi berkisar antara 90–92%, dengan performa tertinggi sebesar 95% untuk lubang besar pada jarak dekat, dan minimum 59% untuk lubang kecil pada jarak jauh. Hasil ini menegaskan efektivitas YOLOv4 dalam mendeteksi jalan berlubang secara cepat dan akurat di berbagai kondisi jalan. Penelitian ini diharapkan dapat memberikan kontribusi dalam otomatisasi sistem pemeliharaan infrastruktur jalan, mengurangi risiko kecelakaan lalu lintas, serta meningkatkan kenyamanan dan keselamatan pengguna jalan.Kata kunci: deteksi jalan berlubang; YOLOv4; deep learning; segmentasi semantik; infrastruktur transportasi
DISPARITAS PERSEPSI DAN REALITAS: ANALISIS DETERMINAN RETENSI KERJA GENERASI Z SEBAGAI STRATEGI PENINGKATAN RETENSI DI KABUPATEN ASAHAN Nirda Julianda; Maulana Dwi Sena
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4071

Abstract

Abstract: Generation Z now dominates Indonesia's population and has great potential in supporting the growth of a technology-based economy. However, in the reality of the world of work, they are often faced with negative stigma, mismatched expectations, and the risk of low job retention. This study aims to analyze the relationship between work perceptions, work realities, and job retention of generation Z in Asahan Regency. The approach used is explanatory quantitative with the SEM-PLS 3 method, involving 110 respondents from among Gen Z who have worked. The results showed that perception has a significant effect on work reality (β = 0.954), and both perception (β = 0.470) and reality (β = 0.448) have a direct influence on job retention. These findings indicate that the alignment between Gen Z's initial expectations and the real conditions in the world of work plays an important role in their decision to stay. Therefore, strategies to improve retention need to be directed at transparent organizational communication and the creation of a work environment that suits the characteristics of this generation. Keywords: Gen Z; Indonesia Emas 2045; Perception; Reality; Retentio Abstrak: Generasi Z kini mendominasi populasi Indonesia dan memiliki potensi besar dalam mendukung pertumbuhan ekonomi berbasis teknologi. Namun, dalam realitas dunia kerja, mereka kerap dihadapkan pada stigma negatif, ketidaksesuaian ekspektasi, dan risiko rendahnya retensi kerja. Penelitian ini bertujuan untuk menganalisis hubungan antara persepsi kerja, realitas kerja, dan retensi kerja generasi Z di Kabupaten Asahan. Pendekatan yang digunakan adalah kuantitatif eksplanatori dengan metode SEM-PLS 3, melibatkan 110 responden dari kalangan Gen Z yang telah bekerja. Hasil penelitian menunjukkan bahwa persepsi berpengaruh signifikan terhadap realitas kerja (β = 0,954), serta baik persepsi (β = 0,470) maupun realitas (β = 0,448) memiliki pengaruh langsung terhadap retensi kerja. Temuan ini mengindikasikan bahwa keselarasan antara harapan awal Gen Z dan kondisi nyata di dunia kerja berperan penting dalam keputusan mereka untuk bertahan. Oleh karena itu, strategi peningkatan retensi perlu diarahkan pada komunikasi organisasi yang transparan dan penciptaan lingkungan kerja yang sesuai dengan karakteristik generasi ini. Kata Kunci: Gen Z; Indonesia Emas 2045; Persepsi; Realitas; Retensi
ANALISA PREDIKSI PENJUALAN SPAREPART SEPEDA MOTOR HONDA MENGGUNAKAN REGRESI LINIER Zulfan Efendi; Maulana Dwi Sena; Muhammad Bayu Al Dhana; Wulan Dari
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4082

Abstract

Abstract: The availability of motorcycle spare parts on time and in sufficient quantities is the key to maintaining customer satisfaction and the smooth operation of authorized workshops and dealers. However, one of the main problems faced is the uncertainty in the amount of demand that often fluctuates due to seasonal factors, consumer behavior, and vehicle maintenance trends. This condition can cause excess stock which increases storage costs or shortages of stock which has an impact on declining service and the potential for losing customers. This study aims to analyze and predict sales of Honda motorcycle spare parts by utilizing the linear regression method. This method was chosen because of its ability to map the relationship between time variables and sales volume quantitatively and simply. The data used are monthly sales data for the last two years from authorized Honda distributors. The results of the analysis show that the linear regression model can predict sales trends with a fairly good level of accuracy, indicated by the coefficient of determination (R²) of 0.86. Thus, this model can be used as a decision-making tool in inventory management and marketing strategy planning that is more adaptive to changes in market demand Keywords: linear regression; motorcycle spare parts; sales prediction; stock                  management. Abstrak: Ketersediaan sparepart sepeda motor secara tepat waktu dan dalam jumlah yang memadai merupakan kunci dalam menjaga kepuasan pelanggan dan kelancaran operasional bengkel maupun dealer resmi. Namun, salah satu permasalahan utama yang dihadapi adalah ketidakpastian dalam jumlah permintaan yang sering kali fluktuatif akibat faktor musiman, perilaku konsumen, hingga tren perawatan kendaraan. Kondisi ini dapat menyebabkan kelebihan stok yang meningkatkan biaya penyimpanan atau kekurangan stok yang berdampak pada penurunan pelayanan dan potensi kehilangan pelanggan. Penelitian ini bertujuan untuk menganalisis dan memprediksi penjualan sparepart sepeda motor Honda dengan memanfaatkan metode regresi linier. Metode ini dipilih karena kemampuannya dalam memetakan hubungan antara variabel waktu dan jumlah penjualan secara kuantitatif dan sederhana. Data yang digunakan merupakan data penjualan bulanan selama dua tahun terakhir dari distributor resmi Honda. Hasil analisis menunjukkan bahwa model regresi linier dapat memprediksi tren penjualan dengan tingkat akurasi yang cukup baik, ditunjukkan oleh nilai koefisien determinasi (R²) sebesar 0,86. Dengan demikian, model ini dapat dijadikan alat bantu pengambilan keputusan dalam pengelolaan persediaan dan perencanaan strategi pemasaran yang lebih adaptif terhadap perubahan permintaan pasar. Kata kunci: manajemen stok; prediksi penjualan; regresi linier; sparepart motor.
PENGARUH PENGETAHUAN KEUANGAN, SIKAP KEUANGAN, DAN KEPRIBADIAN TERHADAP PERILAKU MANAJEMEN KEUANGAN (STUDI KASUS PADA PELAKU UMKM KELAPA MUDA DI KISARAN) Bela Astuti; Novica Irawati; Andri Nata
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4085

Abstract

Abstract: This study aims to determine the influence of Financial Knowledge (X1), Financial Attitude (X2), and Personality (X3) on Financial Management Behavior (Y), with the research subjects being young coconut MSME (Micro, Small, and Medium Enterprises) actors in Kisaran. The population in this study consisted of 150 respondents, with purposive sampling used to select a sample of 75 respondents. Data analysis was conducted using the Structural Equation Modeling – Partial Least Squares (SEM-PLS) method with the SmartPLS 4 software. The results show that Financial Knowledge does not have a positive and significant effect on Financial Management Behavior. Financial Attitude has a positive and significant effect on Financial Management Behavior. Personality has a positive and significant effect on Financial Management Behavior. Furthermore, Financial Knowledge, Financial Attitude. Keywords: Financial Knowledge; Financial Attitude; Personality; Financial Management Behavior. Abstrak: Penelitian ini dilakukan untuk mengetahui pengaruh Pengetahuan Keuangan (X1), Sikap Keuangan (X2), Dan Kepribadian (X3) terhadap Perilaku Manajemen Keuangan (Y) dengan objek penelitian adalah pelaku UMKM Kelapa Muda di Kisaran. Populasi dalam penelitian ini sebanyak 150 responden, kemudian dilakukan pemilihan responden dengan teknik purposive sampling sehingga sampel menjadi 75 responden. Analisis data menggunakan metode Structural Equation Modeling – Partial Least Squares (SEM-PLS) melalui perangkat lunak SmartPLS 4. Hasil Pengujian menunjukkan bahwa Pengetahuan Keuangan tidak berpengaruh positif dan signifikan terhadap Perilaku Manajemen Keuangan, Sikap Keuangan berpengaruh positif dan signifikan terhadap Perilaku Manajemen Keuangan, Kepribadian berpengaruh positif dan signifikan terhadap Perilaku Manajemen Keuangan. Kata kunci: Pengetahuan Keuangan; Sikap Keuangan ; Kepribadian; Perilaku Manajemen Keuangan.
KAJIAN SOSIOLINGUISTIK TERHADAP VARIASI BAHASA INDONESIA DALAM IKLAN TELEVISI NASIONAL Maryska Debora Silalahi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4086

Abstract

Abstract: This study examines variations in Indonesian language found in television advertisements using a sociolinguistic approach. Sociolinguistics is a discipline that explores the relationship between language and society, including how social aspects influence language use and variation. Television advertisements are a form of mass communication with a wide reach, are persuasive, and are designed to attract public attention. Therefore, the language used in advertisements often reflects interesting variations and is appropriate to the social context of the target community. This study aims to describe the types of Indonesian language variations in television advertisements, identify the sociolinguistic causes that impact these variations, and analyze the role of language in achieving the advertisements' persuasive goals. Using a qualitative descriptive approach, data were obtained through recording, observation, and recording methods of several television advertisements broadcast on national private television channels in Indonesia. Data selection was carried out using a purposive sampling technique to obtain informative cases. Keyword: sociolinguistics; television advertising; television advertising language. Abstrak: Penelitian ini mengkaji variasi bahasa Indonesia yang terdapat dalam iklan televisi dengan pendekatan sosiolinguistik. Sosiolinguistik merupakan disiplin yang mengeksplorasi keterkaitan antara bahasa dan masyarakat, termasuk bagaimana aspek sosial mempengaruhi pemakaian dan variasi bahasa. Iklan televisi merupakan salah satu bentuk komunikasi massa dengan jangkauan luas, bersifat persuasif dan disusun untuk menarik perhatian kalangan publik. Karena itu, bahasa yang digunakan dalam iklan sering kali mencerminkan variasi menarik dan sesuai dengan konteks sosial masyarakat yang dituju. Penelitian ini bertujuan untuk menggambarkan jenis-jenis variasi bahasa Indonesia dalam iklan televisi, mengidentifikasi penyebab sosiolinguistik yang berdampak pada variasi tersebut, serta menganalisis peran bahasa dalam mencapai tujuan persuasif iklan. Dengan menerapkan pendekatan deskriptif kualitatif, data diperoleh melalui metode perekaman, pengamatan, dan pencatatan dari sejumlah iklan televisi yang ditayangkan di saluran televisi swasta nasional di Indonesia. Pemilihan data dilakukan menggunakan Teknik purposive sampling agar memperoleh kasus-kasus yang informatif. Kata kunci: sosiolinguistik; iklan televisi; bahasa iklan televisi.
PENERAPAN HAZARD IDENTIFICATION RISK ASSESMENT AND MITTIGATION (HIRM) PADA PENGGUNAAN LABORATORIUM WORKSHOP POLITEKNIK PENERBANGAN MEDAN Saut Maruli Manurung; Rivan Daniel Malau; Adolf Valentino Simanungkalit; Liber Tommy Hutabarat; Natanael Riansa Bakkara; Yesaya Swabra
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4087

Abstract

Abstract This study discusses the implementation of the Hazard Identification, Risk Assessment, and Mitigation (HIRM) system at the Electrical Workshop Laboratory of Politeknik Penerbangan Medan as part of efforts to create a safe practice environment and foster a culture of occupational safety from an early stage. The laboratory serves as a facility for students to perform practical electrical engineering activities such as soldering, panel assembly, electrical measurements, and handling heavy equipment—activities with inherently high safety risks. The research applies the HIRM approach through stages of hazard identification, risk assessment using a probability and severity matrix based on ICAO Doc 9859 standards, and the formulation of mitigation strategies. Results identified seven main activities with moderate to high-risk levels. The highest risks were found in electrical installation assembly, battery testing, and distribution panel work, which can cause electric shock or serious injuries. Recommended mitigation includes the use of personal protective equipment (PPE), regular safety training, strict implementation of standard operating procedures (SOPs), and increased instructor supervision. The study concludes that HIRM is effective for implementation in vocational education settings, particularly in electrical engineering fields, and recommends the future development of digital monitoring systems for real-time risk assessment and improved laboratory safety management.. Keywords:   HIRM, Occupational Safety, Workshop Laboratory, Risk Assessment,                   Hazard Mitigation Abstrak: Penelitian ini membahas penerapan sistem Hazard Identification, Risk Assessment, and Mitigation (HIRM) di Laboratorium Workshop Kelistrikan Politeknik Penerbangan Medan sebagai bagian dari upaya menciptakan lingkungan praktik yang aman dan mendukung budaya keselamatan kerja sejak dini. Laboratorium ini digunakan oleh mahasiswa untuk kegiatan praktik kelistrikan seperti penyolderan, perakitan panel, pengujian alat ukur, dan pengangkatan peralatan berat yang memiliki potensi risiko tinggi. Penelitian dilakukan dengan pendekatan HIRM melalui tahapan identifikasi bahaya, penilaian risiko menggunakan matriks probabilitas dan keparahan berdasarkan standar ICAO Doc 9859, serta penyusunan langkah mitigasi. Hasilnya menunjukkan tujuh aktivitas utama dengan tingkat risiko sedang hingga tinggi. Risiko tertinggi terdapat pada perakitan instalasi listrik, pengujian baterai, dan pemasangan panel distribusi yang dapat menyebabkan sengatan listrik atau luka serius. Mitigasi yang disarankan mencakup penggunaan alat pelindung diri (APD), pelatihan keselamatan kerja, penerapan SOP, serta peningkatan pengawasan dosen. Studi ini menyimpulkan bahwa sistem HIRM efektif untuk diimplementasikan di lingkungan pendidikan vokasi teknik, khususnya pada bidang kelistrikan, dan ke depan perlu dikembangkan sistem monitoring digital berbasis teknologi informasi untuk penilaian risiko secara real-time.  Kata kunci: HIRM, Keselamatan Kerja, Laboratorium Workshop, Penilaian Risiko,                    Mitigasi Bahaya
SEGMENTASI CALON ORANG TUA BERDASARKAN MINAT DAN PERILAKU ONLINE UNTUK MENYUSUN STRATEGI PROMOSI SEKOLAH TK AL-FARIQ Novica Irawati; Sisca Sri Dewi Saragih; Johny Johny
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4088

Abstract

Abstract: The behavior of prospective parents in choosing kindergartens is increasingly shifting towards the use of online media as the main source of information, without neglecting the influence of personal recommendations. This study aims to identify the segmentation of prospective parents based on their interests and behaviors in seeking information about schools, both through digital channels such as social media and the internet, and conventional channels such as verbal communication. The study was conducted at AL-FARIQ Kindergarten with data collection through structured interviews using Google Forms. Data were analyzed using K-Means and Rapid Miner software with cluster analysis methods to group respondents based on similarities in digital behavior. The research results are expected to produce a segmentation document that includes the profile of each segment and recommendations for more targeted digital promotion strategies. This research is at Technology Readiness Level (TRL) level 3 as an initial validation of the data-driven segmentation approach, and is expected to serve as the basis for the development of a more integrated digital promotion system in the future. Keywords: K-Means; Information Behavior; Prospective Parents; Promotion Strategy. Abstrak: Perilaku calon orang tua dalam memilih taman kanak-kanak (TK) semakin bergeser ke arah pemanfaatan media online sebagai sumber informasi utama, tanpa meninggalkan pengaruh rekomendasi personal. Penelitian ini bertujuan untuk mengidentifikasi segmentasi calon orang tua berdasarkan kecenderungan minat dan perilaku mereka dalam mencari informasi tentang sekolah, baik melalui saluran digital seperti media sosial dan internet, maupun jalur konvensional seperti komunikasi lisan. Studi dilakukan di TK AL-FARIQ dengan pengumpulan data melalui wawancara terstruktur menggunakan Google Form. Data dianalisis menggunakan perangkat lunak RapidMiner dan metode K-Means dengan cluster analysis untuk mengelompokkan responden berdasarkan kesamaan perilaku digital. Hasil penelitian diharapkan menghasilkan dokumen segmentasi yang memuat profil masing-masing segmen serta rekomendasi strategi promosi digital yang lebih tepat sasaran. Penelitian ini berada pada Tingkat Kesiapan Teknologi (TKT) level 3 sebagai validasi awal terhadap pendekatan segmentasi berbasis data, dan diharapkan menjadi dasar pengembangan sistem promosi digital yang lebih terintegrasi di masa depan. Kata kunci: K-Means; Perilaku Informasi; Calon Orang Tua; Strategi Promosi
ANALISIS PENGARUH TOTAL EMISI TERHADAP PENERIMAAN NEGARA BUKAN PAJAK (PNBP) SEBAGAI UPAYA PENDANAAN MITIGASI PERUBAHAN IKLIM PERIODE 2016-2020 Ruslan Juliana Pardosi; Pretty Luci Lumbanraja; Penny Chariti Lumbanraja; Rio Rianto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4090

Abstract

Abstract: This study aims to determine the effect of total emissions on non-tax state revenues as a means of financing climate change mitigation. The type of data used is secondary data with a time series from 2016-2020, with the analysis used simple linear regression. The model testing conducted has met the criteria of classical assumptions. Therefore, the results of the study partially indicate that total emissions generated from activities of all sectors in Indonesia have a positive and significant effect on non-tax state revenues (significant value 0.0410 < 0.05). Addressing climate change in Indonesia is carried out through climate adaptation and mitigation strategies. Efforts to develop adaptation and mitigation strategies to address climate change in Indonesia require substantial funding in the form of a carbon tax (PNBP). Revenue from the carbon tax can be used to increase development funds, invest in environmentally friendly technologies, or provide support to low-income communities in the form of social programs.Keyword: emissions, mitigation, taxes, Non-Tax State Revenue (PNBP) Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh total emisi terhadap penerimaan negara bukan pajak sebagai upaya pembiayaan mitigasi perubahan iklim. Jenis data yang digunakan adalah data sekunder dengan rangkaian waktu (Times Series) dari tahun 2016-2020 dengan analisis yang digunakan adalah regresi regresi linier sederhana. Pengujian model yang dilakukan telah memenuhi kriteria asumsi klasik. Sehingga hasil penelitian secara parsial menunjukkan bahwa total emisi yang dihasilkan dari kegiatan semua sektor di Indonesia berpengaruh positif dan signifikan terhadap penerimaan negara bukan pajak (nilai signifikan 0,0410 < 0,05). Penanganan perubahan iklim di Indonesia dilakukan melalui strategi adaptasi dan mitigasi iklim. Upaya mengembangan strategi adaptasi dan mitigasi untuk mengatasi perubahan iklim di Indonesia memerlukan pendanaan yang cukup besar dalam bentuk pajak karbon (PNBP). Penerimaan dari pajak karbon tersebut dapat dimanfaatkan untuk menambah dana pembangunan, investasi teknologi ramah lingkungan, atau memberikan dukungan kepada masyarakat berpendapatan rendah dalam bentuk program sosial. Kata kunci: emisi, mitigasi, pajak, Penerimaan Negara Bukan Pajak (PNBP)
SKRINING FITOKIMIA DARI DAUN LIDAH MERTUA (SANSEVIERIA TRIVASCIATA) Ella Oktavianna Siahaan; Ricky Andi Syahputra; Ani Sutiani; Jamalum Purba; Ahmad Nasir Pulungan; Zuhairiah Nasution
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4092

Abstract

Abstract: Sansevieria Trivasciata (snake tongue) is a traditional medicinal plant known to contain various bioactive compounds. This study aims to identify secondary metabolite content and characterize Sansevieria leaf crude extract. Plant samples were obtained from Aekbolon village, North Sumatra, and have undergone a taxonomic identification process. The crude extract was prepared by drying and grinding the leaves. The characterization results showed a water content of 8.5% and a water-soluble extract content of 23.85%, which is in accordance with the quality standards of crude extracts according to the Indonesian Herbal Pharmacopoeia. Extraction was carried out using a maceration method using 96% ethanol for three consecutive days. The resulting thick extract was then tested qualitatively to detect secondary metabolites. The screening results showed the presence of allkaloids, flavonoids, saponins, and steroids, while tannins were not detected. These findings indicate that Sansevieria has potential as a source of natural active ingredients for the development of herbal medicines. Keywords: Sansevieria Trivasciata, Phytochemical Screening, Secondary Metabolites Abstrak: Sansevieria Trivasciata (lidah mertua) merupakan tanaman obat tradisional yang diketahui mengandung berbagai senyawa bioaktif. Penelitian ini bertujuan untuk mengidentifikasi kandungan metabolit sekunder serta melakukan karakterisasi simplisia daun Sansevieria. Sampel tanaman diperoleh dari desa Aekbolon, Sumatera Utara, dan telah melalui proses identifikasi taksonomi. Simplisia disiapkan melalui proses pengeringan dan penghalusan daun. Hasil karakterisasi menunjukkan kadar air sebesar 8,5% dan kadar sari larut dalam air sebesar 23,85%, yang sesuai dengan standar kualitas simplisia menurut Farmakope Herbal Indonesia. Ekstraksi dilakukan dengan metode maserasi menggunakan etanol 96% selama tiga hari berturut-turut. Ekstrak kental yang diperoleh kemudian diuji secara kualitatif untuk mendeteksi metabolit sekunder. Hasil skrining menunjukkan adanya senyawa allkaloid, flavanoid, saponin, dan steroid, sedangkan tanin tidak terdeteksi. Temuan ini menunjukkan bahwa Sansevieria memiliki potensi sebagai sumber bahan aktif alami untuk pengembangan obat herbal. Kata kunci: Sansevieria Trivasciata, Skrining Fitokimia, Metabolit Sekunder

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