Abstract:Penelitian ini bertujuan untuk mendeskripsikan peranan sarana dan prasarana dalam membangun citra positif sekolah di SDN 5 Limboto, Kabupaten Gorontalo. Latar belakang penelitian ini didasarkan pada pentingnya sarana dan…
prasarana sebagai penunjang proses pendidikan sekaligus sebagai unsur yang memengaruhi persepsi warga sekolah dan masyarakat terhadap kualitas lembaga pendidikan. Penelitian menggunakan pendekatan kualitatif dengan jenis deskriptif. Penelitian dilaksanakan di SDN 5 Limboto pada bulan Desember 2025. Informan penelitian terdiri atas kepala sekolah, guru, dan siswa yang dipilih secara purposive. Data diperoleh melalui observasi, wawancara, dan dokumentasi, kemudian dianalisis dengan teknik reduksi data, penyajian data, dan penarikan kesimpulan. Keabsahan data diuji melalui triangulasi sumber dan triangulasi teknik. Hasil penelitian menunjukkan bahwa sarana dan prasarana memiliki peranan yang signifikan dalam membangun citra positif sekolah. Peranan tersebut tampak melalui lima fungsi utama, yaitu fungsi edukatif, estetis, sosial, psikologis, serta administratif dan manajerial. Secara edukatif, sarana dan prasarana mendukung kelancaran proses pembelajaran dan meningkatkan keterlibatan siswa. Secara estetis, kondisi lingkungan sekolah yang bersih, rapi, dan tertata menciptakan suasana belajar yang nyaman dan menyenangkan. Secara sosial, fasilitas sekolah menjadi ruang interaksi yang mendukung terbentuknya hubungan harmonis antarwarga sekolah. Secara psikologis, lingkungan sekolah yang aman, bersih, dan nyaman memberikan rasa tenang dan meningkatkan motivasi belajar siswa. Sementara itu, secara administratif dan manajerial, sarana dan prasarana mendukung tata kelola sekolah yang lebih tertib dan sistematis. Temuan ini menegaskan bahwa sarana dan prasarana bukan sekadar fasilitas pelengkap, melainkan bagian strategis dalam membentuk persepsi positif terhadap kualitas layanan pendidikan di sekolah.
Abstract:Penelitian ini bertujuan untuk menganalisis pengaruh Aksesibilitas dan Fasilitas terhadap Keputusan Berkunjung Wisatawan di Wisata Citiis Galunggung Kabupaten Tasikmalaya, baik secara parsial maupun simultan. Penelitian…
menggunakan pendekatan kuantitatif dengan metode deskriptif verifikatif, dengan sampel sebanyak 100 responden yang ditentukan melalui teknik purposive sampling. Data dikumpulkan melalui penyebaran kuesioner menggunakan skala Likert dan dianalisis menggunakan regresi linear berganda dengan bantuan program IBM SPSS. Hasil analisis deskriptif menunjukkan bahwa variabel Aksesibilitas, Fasilitas, dan Keputusan Berkunjung berada pada kategori sangat kuat. Secara parsial (uji t), Aksesibilitas tidak berpengaruh signifikan terhadap Keputusan Berkunjung dengan nilai t hitung sebesar -0,999 dan nilai signifikansi 0,320 > 0,05. Sebaliknya, Fasilitas berpengaruh positif dan signifikan terhadap Keputusan Berkunjung dengan nilai t hitung sebesar 16,480 dan signifikansi 0,000 < 0,05. Secara simultan (uji F), diperoleh nilai F hitung sebesar 453,167 dengan signifikansi 0,000 < 0,05. Nilai R Square sebesar 0,903 menunjukkan bahwa 90,3% variasi Keputusan Berkunjung dapat dijelaskan oleh variabel Aksesibilitas dan Fasilitas, sedangkan 9,7% dipengaruhi oleh faktor lain di luar model penelitian. Temuan ini menunjukkan bahwa peningkatan kualitas fasilitas menjadi faktor yang paling dominan dalam mendorong keputusan wisatawan untuk berkunjung ke Wisata Citiis Galunggung Kabupaten Tasikmalaya. Oleh karena itu, pengelola diharapkan terus meningkatkan kualitas fasilitas serta melakukan perbaikan aksesibilitas guna meningkatkan daya tarik dan daya saing destinasi wisata.
Abstract:This study aims to examine the use of Instagram among 6th-semester Economics students at the Institute of Education of South Tapanuli (IPTS), the academic performance of these students, and whether there is a significant…
influence of Instagram usage on their academic performance. A quantitative descriptive research design was employed. The study population consisted of 28 6th-semester Economics students at IPTS, and a total sampling technique was used to include all 28 students. Data were collected using a questionnaire and analyzed through descriptive and inferential statistical methods. The descriptive analysis of Instagram usage yielded a mean score of 75.71, placing it in the "Good" category, while the mean academic score was 81, placing it in the "Very Good" category. Furthermore, inferential statistical testing showed that the calculated t-value (t-count) was greater than the t-table value (5.103 > 1.706). With a significance level of 0.000 at a 95% confidence level (or a 5% error rate/α = 0.05) where the significance value is less than α (0.000 < 0.05) it is concluded that there is a significant influence of Instagram usage on the academic performance of 6th-semester Economics students at the Institute of Education of South Tapanuli (IPTS).
Abstract:This study aims to evaluate the return on investment (ROI) of ScienceDirect subscriptions at Universitas Terbuka during the 2024–2026 period by examining research productivity, publication characteristics, and scholarly…
y impact beyond conventional usage statistics. Rather than assessing subscription value solely through download counts, this study adopts a value-based assessment approach that integrates research performance indicators. A quantitative descriptive design with a bibliometric approach was employed. The dataset comprised 31 Scopus-indexed publications affiliated with Universitas Terbuka published between 2024 and 2026. Data were analyzed using publication productivity, citation performance, publication outlets, publisher distribution, and collaboration patterns. The findings indicate relatively stable research productivity, with 12 publications in 2024, 10 in 2025, and 9 in 2026. Publications were disseminated across various international publishers, predominantly Emerald, Turkish Online Journal of Distance Education, AIP Publishing, and Springer Nature, while no publication in the analyzed dataset appeared in Elsevier journals hosted on ScienceDirect. These findings suggest that the primary value of ScienceDirect lies not in serving as a publication destination but in functioning as a strategic knowledge infrastructure that supports literature discovery, research design, and scholarly writing. Consequently, evaluating subscription ROI should extend beyond COUNTER usage statistics and incorporate research productivity, citation impact, collaboration, and alternative metrics to capture broader institutional benefits. This study contributes a multidimensional framework for assessing electronic resource investments in academic libraries and provides empirical evidence to support evidence-based collection management and research policy in open and distance higher education institutions.
Abstract:Penelitian ini menganalisis defisit firewall normatif dalam perlindungan data keselamatan pada pendidikan penerbang Indonesia serta membangun konsep Double Burden Vulnerability (DBV) pada taruna pra-lisensi. Metode socio-legal…
-legal digunakan dengan bobot dominan analisis doktrinal terhadap ICAO Annex 19 Edisi Ketiga, Undang-Undang Nomor 1 Tahun 2009 tentang Penerbangan, Undang-Undang Nomor 1 Tahun 2023 tentang KUHP, PM 2 Tahun 2026, dan Safety Management System Manual, yang didukung wawancara semi-terstruktur terhadap 14 informan. Tiga belas transkrip dikodekan dalam NVivo melalui dua siklus, sedangkan satu wawancara ahli digunakan untuk validasi doktrinal. Hasil menunjukkan bahwa Pasal 359 Undang-Undang Penerbangan membentuk firewall hanya untuk hasil investigasi kecelakaan dan kejadian serius, sementara Pasal 584 ayat (1) KUHP 2023 memidana kealpaan biasa tanpa mensyaratkan korban. Ketidakpastian status taruna berulang pada tingkat internasional, nasional, dan institusional, serta termanifestasi sebagai ketakutan melapor, quiescent silence, penyaringan oleh senioritas, dan anonimitas yang bersyarat. Reformasi memerlukan ambang kesalahan yang lebih tinggi, perlindungan pelapor yang operasional, dan pengakuan eksplisit taruna sebagai subjek yang dilindungi.
This study examines the normative firewall deficit in safety-data protection within Indonesian pilot education and develops the concept of Double Burden Vulnerability (DBV) for pre-licence cadets. A socio-legal design was employed, weighted toward doctrinal analysis of ICAO Annex 19 Third Edition, Law Number 1 of 2009 on Aviation, Law Number 1 of 2023 on the Penal Code, Minister of Transportation Regulation PM 2 of 2026, and the institutional Safety Management System Manual, supported by semi-structured interviews with 14 informants. Thirteen transcripts were coded in NVivo through two cycles, while one legal-expert interview was used for doctrinal validation. The findings show that Article 359 of the Aviation Law provides a firewall only for investigation records concerning accidents and serious incidents, whereas Article 584(1) of the 2023 Penal Code criminalises ordinary negligence without requiring a victim. Cadets’ uncertain legal status recurs across international, national, and institutional rules and manifests socially as fear of reporting, quiescent silence, seniority-based filtering, and conditional anonymity. Reform requires a higher culpability threshold, operational reporter protection, and explicit recognition of cadets as protected reporting subjects.
Abstract:The assessment of student career readiness requires a systematic approach that considers multiple competencies and experiences relevant to workplace demands. This study develops an intelligent decision support system based…
ed on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate and map student career readiness. The study uses 20 student samples and five assessment criteria: field-specific competence (C1), internship experience (C2), communication skills (C3), digital literacy (C4), and English language proficiency (C5). Each criterion is assigned a weight based on its relative importance. The TOPSIS method involves decision matrix construction, normalization, weighted normalization, determination of positive and negative ideal solutions, distance calculation, and preference value calculation. The results show that Y11 achieved the highest preference value of 0.8296, followed by Y6 (0.7951), Y19 (0.7274), Y5 (0.7116), and Y2 (0.6999), while Y9 obtained the lowest preference value of 0.3112. Based on the classification results, 1 student (5%) was categorized as Highly Ready, 5 students (25%) as Ready, 12 students (60%) as Moderately Ready, and 2 students (10%) as Not Ready. These findings demonstrate that TOPSIS can effectively rank and classify student career readiness based on multiple assessment criteria. The proposed system can support higher education institutions in identifying students’ readiness levels and developing more objective, targeted, and data-driven career development strategies.
Abstract:Course timetable preparation in the Information Technology Study Program at Universitas PGRI Sumatera Barat is still performed in spreadsheets, typically requires three to five days, and can produce instructor, class, or…
room conflicts. This study develops a web-based scheduling information system that centralizes timetable data, detects collisions automatically, and offers alternatives with support from the Google Gemini API. Development followed the Waterfall System Development Life Cycle, comprising requirements analysis, design, implementation, testing, deployment, and maintenance. The application was built with PHP, Laravel, and MySQL. A deterministic rule identifies overlapping allocations involving the same instructor, class, or room on the same day. Gemini is used only to rank and explain feasible candidates; the application revalidates each recommendation, and the Study Program Secretary retains final approval. Black-box testing of ten functions achieved a 100% success rate. Beta testing produced an average score of 89.22% from three experts and 89.79% from two users, with both results classified as Very Good. The findings indicate that the system is highly feasible for integrated course timetable preparation and administration.
Abstract:The development of information technology has significantly influenced information management and dissemination, including in road infrastructure. However, road condition data collection in Muara Bulian is still conducted…
d manually, resulting in ineffective data management and limited public access to accurate information. This study aims to design and develop a web-based Geographic Information System (Web-GIS) for road conditions in Muara Bulian. The study employed a descriptive qualitative method using observation, interviews, documentation, and literature review for data collection. The system was developed using the Waterfall model, consisting of requirements analysis, system design, implementation, and testing. The application was developed using Python and the Flask framework, with SQLite as the database and Leaflet.js and QGIS to support interactive map visualization. The results show that the system can display road condition information through interactive digital maps, provide road location search and detailed information, support basemap switching, facilitate road data management, and generate reports. Black Box Testing confirmed that all system functions operated according to the specified requirements. The Web-GIS is expected to support the government in managing road infrastructure data and facilitate public access to road condition information effectively and efficiently.
Abstract:The rapid growth of electronic transactions necessitates systems capable of monitoring seller quality and reputation across marketplace platforms. This study aims to design and implement a seller referral system on a Laravel…
avel 13 based e-commerce platform integrated with performance monitoring and seller accountability mechanisms. Built using the Prototype model encompassing communication, planning, modeling, prototyping, and deployment phases the system utilizes MySQL for database management. Registered sellers can distribute unique referral codes to prospective sellers, with the system automatically recording these relationships to enable structured tracking of activities, product counts, store ratings, and access status of referred sellers. Functional testing conducted via a black-box approach demonstrated that the authentication, referral registration, dashboard, monitoring, order management, and store settings modules operated strictly according to specifications, achieving a 100% test case pass rate. The primary contribution of this research lies in shifting the referral paradigm from simple user acquisition to a peer-accountability framework that holds referring sellers responsible for the performance of their recruits, thereby mitigating the presence of unreliable sellers and fostering greater trust in the online shopping environment.
Abstract:The implementation of examinations at SMA Negeri 7 Sarolangun previously encountered operational challenges due to an unintegrated workflow, where exam authoring was conducted via Google Forms and exam delivery relied on…
an Android-based third-party application paired with a custom keyboard. This workflow caused severe device incompatibility, system crashes, and manual score recapitulation delays lasting up to one week. This research aims to design and develop an integrated web-based examination application utilizing the Django framework under the Rapid Application Development (RAD) model to support Midterm (PTS) and Final (PAS) semester exams. The application features master data management, manual question authoring and bulk imports via Excel, token-protected scheduling, asynchronous AJAX auto-saving on computer-based test (CBT) sheets, live proctoring controls, auto-grading, score visibility authorization (Hide Score), and dynamic class-filtered report exports in Excel and PDF formats. System evaluation was conducted through Alpha testing (White Box and Black Box testing) and Beta testing (ISO/IEC 25010:2011 quality evaluation by system experts and End-User Computing Satisfaction/EUCS by end-users). Alpha testing verified that all 29 independent logic paths in White Box testing executed without branching errors and Black Box testing achieved 100% validity across 13 functional modules. Beta testing with 2 system experts yielded an average score of 98.25% (Very Good), and end-user testing involving 27 respondents achieved an average satisfaction score of 84.75% (Very Good). Thus, the developed system is highly feasible, reliable, and effective for school examination operations.