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INDONESIA
JOURNAL OF SCIENCE AND SOCIAL RESEARCH
Published by Smart Education
ISSN : 26154307     EISSN : 26153262     DOI : -
Core Subject : Economy, Science, Education, Social,
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences
Journal of Science and Social Research is accepts research works from academicians in their respective expertise of studies. Journal of Science and Social Research is platform to disclose the research abilities and promote quality and excellence of young researchers and experienced thoughts towards Change for Development. The journal releases on February and July.
Arjuna Subject : -
Articles 3,645 Documents
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STUDI KOMPARATIF PENETAPAN PERUBAHAN JENIS KELAMIN BAGI PEMOHON PASCA TRANSISI GENDER  (STUDI PENETAPAN NOMOR: 195/PDT.P/2021/PN.JKT.UTR DAN PENETAPAN NOMOR: 30/PDT.P/2022/PN PWT) Dara Santari; Rosnidar Sembiring; Syarifah Lisa Andriati
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.v9i3.6366

Abstract

Gender change is a legal phenomenon that has generated debate in the Indonesian legal system, particularly regarding the recognition of legal identity for applicants after gender transition. The main problem in this study lies in the absence of legal regulations that specifically and comprehensively regulate the procedures, requirements, and legal consequences of gender change, resulting in disparities in court decisions. This study aims to analyze the legal vacuum related to gender change in Indonesia, the legal consequences of determining gender change on population administration, and to comparatively analyze the judges' considerations in Decision Number: 195/Pdt.P/2021/PN.Jkt.Utr and Decision Number 30/Pdt.P/2022/PN.Pwt. The research method used is normative legal research with a statutory approach, a conceptual approach, and a case approach. The research results show that the regulation of gender reassignment in Indonesia is still limited to aspects of population administration, as stipulated in Article 56 paragraph (1) of Law Number 23 of 2006 concerning Population Administration in conjunction with Law Number 24 of 2013. The absence of substantive regulations causes judges to rely on legal findings in deciding gender reassignment requests. The legal consequences of gender reassignment include changes in population identity, civil legal status, and implications for marriage and inheritance. In Decision Number 195/Pdt.P/2021/PN.Jkt.Utr, the judge used a progressive, human rights-based approach, resulting in the granting of the request. Whereas in Decision Number 30/Pdt.P/2022/PN.Pwt, the judge used a normative, moral, and religious approach, resulting in the rejection of the request. This disparity demonstrates the lack of legal certainty regarding gender reassignment in Indonesia.
IMPLEMENTASI ALGORITMA FUZZY C-MEANS DALAM CLUSTERING TINGKAT KEPUASAN MAHASISWA TERHADAP FASILITAS PENDIDIKAN Abdul Aziz Ardana; Bambang Irwansyah
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.v9i3.6367

Abstract

The assessment of student satisfaction regarding educational facilities at the Faculty of Engineering, Universitas Asahan, has been subjective and limited to manual recapitulation. This study aims to implement a web-based Fuzzy C-Means (FCM) algorithm (using PHP and MySQL) to group student satisfaction levels more objectively. This study uses primary data obtained from questionnaires given to 200 respondents. Based on the computational testing results, the FCM algorithm successfully reached convergence and grouped the data into three clusters. From a total of 200 data, 89 respondents were in the Dissatisfied cluster (C1), 64 respondents in the Moderately Satisfied cluster (C2), and 47 respondents in the Satisfied cluster (C3). This system is also capable of grouping qualitative data in the form of student suggestions according to their clusters. This implementation is proven effective in generating accurate information as a comprehensive evaluation report for faculty leaders to prioritize eduacational facility improvements.
PENERAPAN DATA MINING DALAM MENENTUKAN PRIORITAS TINDAKAN MEDIS PASIEN BPJS BERDASARKAN RIWAYAT MEDIS MENGGUNAKAN METODE KNN Wilson Panjaitan; Dicky Apdillah
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.v9i3.6368

Abstract

The rapid development of information technology has encouraged the healthcare sector to utilize data as a basis for faster, more precise, and effective decision-making. One of the largest data sources in the healthcare sector is BPJS (Social Security Administration for Health) patient data, which includes medical history, examination results, previous medical procedures, and medication use. This data is a critical asset that, when properly managed and analyzed, can assist hospitals and healthcare facilities in determining appropriate medical interventions for patients. The purpose of this study was to design and develop an application for prioritizing medical procedures for BPJS patients in, using the KNN method, the PHP programming language, and a MySQL database. The data used in this study were BPJS patient visit data. Based on test results at various levels of K=3, K=5, and K=7, the data demonstrated very high consistency. Even though the K value (number of nearest neighbors) was increased from 3 to 7, the final classification results still showed a predominance of the Medium Priority category. With a KNN-based classification system, medical personnel no longer need to manually assess each patient.
PENGARUH MODEL DISCOVERY LEARNING BERBANTUAN QUIZIZZ TERHADAP KEMAMPUAN BERPIKIR KRITIS SISWA DI SMK SWASTA AL-MA'SHUM SIDODADI Raffi Azizi; Ely Syafitri
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.v9i3.6369

Abstract

The study aims to analyze the effect of the Discovery Learning model assisted by the interactive media Quizizz on students' critical thinking skills in mathematics at SMK Swasta Al-Ma'shum Sidodadi. The main background of this study is the low level of students' critical thinking skills in solving complex problems. The research method used was a quasi-experimental design with a nonequivalent control group design. The research sample consisted of the experimental class (Xth-2) implementing the Discovery Learning model assisted by Quizizz and the control class (Xth-1) using direct learning. Data were collected through a critical thinking skills test in the form of essay questions measuring indicators of interpretation, analysis, evaluation, and inference. The results of the data analysis showed a significant increase in the average critical thinking skills in the experimental class (80.65) compared to the control class (66.41). Hypothesis testing using an Independent Samples T-Test in SPSS 20 yielded a significance value of 0.000 < 0.05. These findings confirm that the integration of the discovery learning model with the Quizizz gamification media has a significant positive impact on improving students' critical thinking skills.
KLASIFIKASI KEPUASAN KUNJUNGAN MAHASISWA TERHADAP PERPUSTAKAAN MENGGUNAKAN METODE FUZZY SUGENO Reza Fahlevi; Khairul Saleh
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.v9i3.6370

Abstract

The assessment of student visit satisfaction at the Asahan University library is currently influenced by various uncertainty factors from each individual, making it difficult to measure objectively using the existing system. This study aims to build a more measurable classification system using the Fuzzy Sugeno logic method. The system is evaluated using four input parameters with a value range of 0 to 100, namely service quality, facilities, environmental comfort, and ease of information access, to generate an output variable divided into dissatisfied, satisfied, and very satisfied categories. Based on the test results, inputting a service quality value of 85, facilities 85, environmental comfort 55, and ease of information access 55 produced a recommendation value of 54.285, which was successfully classified linguistically into the "Satisfied" category. The application of the Fuzzy Sugeno method is proven to provide an accurate assessment, which is expected to assist library management in evaluating services and making strategic decisions for future quality improvements.
SISTEM PAKAR PENILAIAN TINGKAT KESEHATAN MENTAL MAHASISWA TINGKAT AKHIR MENGGUNAKAN METODE FAZZY INFERENCE SYSTEM (FIS) SUGENO Triana Puspa Handayani; Khairul Saleh
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.v9i3.6371

Abstract

The mental health of final year students is an important aspect in the world of higher education, especially in facing the demands of completing a thesis at the Faculty of Engineering, Asahan University. However, until now there is no system that can help assess students' mental health levels in a structured and automatic manner. Therefore, this research aims to design and build an expert system application using the Sugeno Fuzzy Inference System (FIS) method based on PHP and MySQL to assess the mental health level of final year students. The data used in this research was obtained through distributing questionnaires to final year students at the Faculty of Engineering, Asahan University. The variables used include stress intensity, sleep quality, academic load, and social interaction. The data obtained was 99 final year student respondents. The data processing was carried out using the FIS Sugeno method by forming fuzzy sets, membership functions, and 81 fuzzy rules to produce students' mental health levels. Based on the results of system testing, the FIS Sugeno method was successfully applied to automatically assess students' mental health levels. The system is capable of carrying out data input processes, fuzzification, fuzzy inference, and producing assessment output quickly and in a structured manner. The benefit of this research is that it helps provide an initial picture of the mental health conditions of final year students so that it can be taken into consideration in efforts to treat and assist students.
PENINGKATAN BELAJAR MENGGUNAKAN MODEL PEMBELAJARAN KOOPERATIF TIPE MAKE A MATCH PADA MAHASISWA POLITEKNIK TANJUNGBALAI (POLTAN)SUMATERA UTARA Zulkhairani; Hidayatullah; Mhd.Ihsan
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.v9i3.6372

Abstract

This study was designed to improve student learning engagement using the Make a Match cooperative learning model for students at Tanjungbalai Polytechnic. The learning engagement in this study focused on physical and mental engagement. This study employed Classroom Action Research (CAR), where the lecturer acted as the learning implementer while the researcher acted as the observer. The design of the study employed the Kemmis and Mc. Taggart model. This study was conducted in the even semester. The subjects were students at Tanjungbalai Polytechnic. The object of the study was the participants' learning engagement, and data collection techniques used observation and interviews. The data were analyzed descriptively and presented in tables and graphs. The results showed an increase in student learning engagement in siklus I, reaching 80.10% (good category), and then in siklus II, increasing to 90.10% (very good category). This represents a 9.54% increase. Therefore, the use of the Make a Match cooperative learning model in courses at Tanjungbalai Polytechnic is
SIMULASI ADAPTIVE PURSUIT ROUTE ALGORITHM (APRA) UNTUK ALGORITMA INTERSEPSI ADAPTIF BERBASIS PREDIKSI DINAMIS UNTUK PERENCANAAN JALUR TARGET BERGERAK DENGAN MANUVER TINGGI Devanta Abraham Tarigan
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.v9i3.6374

Abstract

Intercepting a highly maneuvering moving target remains a difficult planning problem because the target may change heading, accelerate, halt, or reverse without warning, while the pursuer only receives noisy position observations. This study proposes the Adaptive Pursuit Route Algorithm (APRA), an interception path-planning method that combines short-horizon target-state estimation, time-to-go aim-point projection, dynamically weighted cost terms, and a bounded residual that is learned online from past prediction errors. APRA is evaluated against three classical pursuit laws-Pure Pursuit, Proportional Navigation (PN), and Augmented PN (APN)-on a physics-based synthetic dataset of 3,200 trajectories spanning eight motion regimes, yielding 12,800 engagements. APRA attains the best result on every metric: an interception rate of 90.91% (95% CI 0.899-0.919), the shortest mean interception time (9.65 s), the lowest mean prediction error (8.73 units), the highest path efficiency (0.798), and the lowest control energy (48,022). One-way ANOVA confirms that the differences in time, energy, and prediction error are statistically significant (p < 0.001), and a Welch t-test shows APRA is significantly faster than APN (t = -14.48, p < 0.001). The results indicate that disciplined filtering combined with bounded online adaptation is more robust against deceptive and abrupt maneuvers than raw lead-based guidance.
PERAN MARKET AGILITY DALAM MEMEDIASI PENGARUH DIGITAL MARKETING CAPABILITY TERHADAP KINERJA UMKM Indra Heri Rukmana; Lisa Elianti Nasution
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.v9i3.6375

Abstract

This study aims to analyze the effect of digital marketing capability on SME performance with market agility as a mediating variable. The research employs a quantitative approach with an explanatory design. The population consists of SME actors in Kecamatan Medan Kota, with a sample of 100 respondents selected using purposive sampling. Data were collected through questionnaires using a Likert scale and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that digital marketing capability has a positive and significant effect on both SME performance and market agility. Market agility also has a significant positive effect on SME performance. Furthermore, market agility mediates the relationship between digital marketing capability and SME performance with partial mediation. These findings suggest that digital marketing capability will be more effective in improving SME performance when supported by the ability to adapt to market changes. This study contributes to the business management literature and provides practical implications for SME actors in optimizing adaptive digital marketing strategies to enhance business performance.
PERAN KETERIKATAN KERJA DALAM MEMEDIASI TRANSFORMASI DIGITAL MSDM TERHADAP KINERJA KARYAWAN UMKM Lisa Elianti Nasution; Muhammar Syafii; Indah Mawarni
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.v9i3.6376

Abstract

This study aims to analyze the role of work engagement in mediating the effect of digital transformation of human resource management (HRM) on employee performance in SMEs in Medan City. This research employs a quantitative approach with an explanatory design. Data were collected through questionnaires distributed to 100 SME employees using purposive sampling technique. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. The results indicate that digital transformation of HRM has a positive and significant effect on work engagement and employee performance. Work engagement also has a positive and significant effect on employee performance. Furthermore, work engagement significantly mediates the relationship between digital transformation of HRM and employee performance with partial mediation. These findings suggest that the success of digital transformation in improving employee performance depends not only on the implementation of technology but also on the level of employee work engagement. This study contributes theoretically to the development of digital HRM literature and provides practical implications for SMEs in managing human resources more effectively in the digital era.

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