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:Fractional premium schemes in life insurance generally follow two main approaches: True Fractional Premiums, which are easy to implement but less fair to policyholders who die mid-period, and Apportionable Fractional Premiums,…
miums, which are more actuarially fair but administratively more complex. This study designs a Hybrid Fractional Premiums model that combines both approaches through a weighted linear combination using parameter , based on the 2023 Indonesian Mortality Table (TMPI), a 5% interest rate, a 10-year coverage period, and monthly premium payments. This descriptive quantitative study applies actuarial mathematics, covering the present value of insurance benefits, true fractional, apportionable fractional, and hybrid annuity factors, up to premium determination using the equivalence principle. The results show that the hybrid premium consistently lies between the true fractional and apportionable premiums, increases sharply with the insured's age, and is higher for males than females due to differences in mortality rates. Changes in the value of have a linear effect on the premium, although the impact is relatively small (a difference of less than IDR 200 per month). The hybrid model with is recommended as the optimal balance between actuarial fairness and ease of implementation, offering a more flexible alternative for premium determination in Indonesia's life insurance industry.
Abstract:Village infrastructure development planning often faces challenges in determining priorities due to limited budget allocations and assessment mechanisms that still tend to be subjective. This study aims to build an objective,…
tive, transparent, and measurable Decision Support System (DSS) to determine the priority order of infrastructure development proposals in Asam Jawa Village, Torgamba District. The applied solution integrates the Rank Order Centroid (ROC) method to calculate criteria weighting based on relative importance, and the Simple Additive Weighting (SAW) method to process the alternative ranking calculation. The evaluation was conducted on 23 physical infrastructure proposals using four main criteria: urgency level (C1), physical condition (C2), benefits (C3), and population size (C4). The results indicate that alternative A4 (Construction of Borehole Well and Public Toilet at Field) and alternative A18 (Sejahtera Street Concrete Cast) achieved the highest preference score of 1.000000, followed by other infrastructure proposals in a structured manner. The combined use of ROC and SAW methods is proven to be effective and consistent in generating accurate rural development priority rankings. The integration of these two methods facilitates village government officials in making accountable decisions while minimizing cognitive bias risks in optimizing development budget allocation.
Abstract:Fashion sellers on TikTok Shop increasingly rely on live streaming marketing to engage Generation Z consumers, although how well this approach translates into repeat purchases remains underexplored, particularly the extent…
nt to which customer experience functions as a psychological link between the two. This study examines how live streaming marketing influences repurchase intention through customer experience as a mediating variable, focusing on Generation Z fashion consumers who use TikTok Shop in Makassar City. A quantitative design was applied, drawing on a purposive sample of 280 respondents, with data analyzed through SEM-PLS using SmartPLS 4. Findings reveal that live streaming marketing has a positive and significant influence on customer experience, whereas its direct effect on repurchase intention is not significant. Customer experience, in turn, positively and significantly affects repurchase intention and fully mediates the link between live streaming marketing and repurchase intention. These patterns suggest that Generation Z consumers remain skeptical of direct marketing cues and instead give greater weight to personal experience quality when deciding to repurchase. The study extends the Stimulus-Organism-Response framework to the live commerce setting and offers practical guidance for sellers to redirect marketing efforts from promotional intensity toward building immersive, personalized shopping experiences.
Abstract:The issue of nutritional status among toddlers in Aceh Province, particularly in Kuta Baro Subdistrict, remains a serious concern due to the high prevalence of undernutrition and stunting. This study aims to determine the…
e relationship between parenting practices and children’s nutritional status in Kuta Baro Subdistrict. A descriptive-correlational method with a quantitative approach was used. The study population consisted of all 2,132 toddlers in Kuta Baro Subdistrict, with a sample of 96 toddlers selected using simple random sampling. Data on parenting practices were collected via a questionnaire, while nutritional status was measured using the weight-for-age indicator. Data analysis was conducted using a correlation test to determine the relationship between parenting practices and children’s nutritional status. The results indicate a significant relationship between parental child-rearing practices and children’s nutritional status (p=0.000). Positive and attentive child-rearing practices are correlated with optimal nutritional status, whereas inappropriate child-rearing practices are associated with poor to very poor nutritional status. Based on these findings, it is recommended that the Department of Health and educational institutions enhance parenting education and support programs for parents to improve children’s nutritional status in the region. Future research is expected to examine other factors influencing children’s nutritional status using more comprehensive methods.
Abstract:This study aims to evaluate the stability of three rock slopes in an artisanal kaolin mine in Semin, Gunungkidul, Yogyakarta, Indonesia, using deterministic and probabilistic approaches, and to identify the geotechnical…
parameters most influencing slope stability. The evaluation is conducted in compliance with Indonesian Mining Regulation (Kepmen ESDM No. 1827 K/30/MEM/2018) to provide quantitative geotechnical evidence for a mine that has been operated without prior formal geotechnical assessment. Field data were collected using the scanline method to characterize rock mass discontinuities. Laboratory tests comprising direct shear and physical properties tests were conducted to determine cohesion (c), friction angle (ϕ), and unit weight (γ) for each slope. Seismic coefficient (ks = 0,0913) was incorporated as a dynamic loading parameter. Slope stability was analyzed using the General Limit Equilibrium (GLE) method to obtain the deterministic Factor of Safety (FoS). Monte Carlo simulation (N = 10.000 iterations) was applied to determine the Probability of Failure (PoF), coefficient of variation of FoS (CoV), and reliability index (β). Sensitivity analysis was performed to quantify the contribution of each geotechnical parameter to FoS reduction. Results show that FoS values ranged from 2,019 (Slope III) to 10,55 (Slope II), all exceeding the regulatory minimum of 1,1. The PoF was 0,00% for all three slopes, well below the maximum allowable limit of 25%, with reliability indices ranging from 5,70 to 31,38. The CoV of FoS ranged from 3% to 9%, indicating low dispersion in stability outcomes despite parameter variability. Sensitivity analysis identified cohesion as the most dominant parameter in Slopes I and II, contributing 28% and 31% to FoS reduction respectively, while Slope III exhibited near-equal contributions from cohesion (20%) and friction angle (21%), reflecting its lower shear strength conditions. All three slopes satisfy the acceptance criteria of Kepmen ESDM No. 1827 K/30/MEM/2018 under current geotechnical and geometric conditions. The combined deterministic-probabilistic approach provides a more comprehensive slope safety assessment than deterministic analysis alone and is recommended for application in artisanal kaolin mining operations. Cohesion is identified as the critical parameter to be monitored and preserved to maintain slope stability.
Abstract:Pemilihan Ketua Badan Eksekutif Mahasiswa (BEM) merupakan proses penting dalam menentukan mahasiswa yang memiliki kompetensi terbaik untuk memimpin organisasi kemahasiswaan. Namun, proses seleksi yang masih bergantung pada…
da popularitas dan penilaian subjektif berpotensi menghasilkan keputusan yang kurang optimal. Penelitian ini bertujuan membangun Sistem Pendukung Keputusan (SPK) menggunakan metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) untuk membantu proses pemilihan Ketua BEM secara objektif. Data penelitian diperoleh melalui wawancara dengan pembina BEM untuk menentukan kriteria dan bobot penilaian. Lima kriteria yang digunakan meliputi kepemimpinan, kemampuan komunikasi, pengalaman organisasi, integritas, dan indeks prestasi kumulatif (IPK). Tahapan metode MOORA terdiri atas penyusunan matriks keputusan, normalisasi, perhitungan nilai optimasi, dan proses perangkingan. Hasil penelitian menunjukkan bahwa alternatif K1 memperoleh nilai optimasi tertinggi sebesar 0,473 sehingga direkomendasikan sebagai Ketua BEM terpilih. Penerapan metode MOORA mampu menghasilkan proses pengambilan keputusan yang lebih objektif, sistematis, transparan, dan akurat sehingga dapat dijadikan sebagai alat bantu dalam menentukan Ketua BEM berdasarkan kriteria yang telah ditetapkan.
The selection of the Student Executive Board (BEM) President is an important process in determining the most qualified student to lead the student organization. However, conventional selection processes often rely on popularity and subjective judgments, which may lead to less optimal decisions. This study aims to develop a Decision Support System (DSS) using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to support a more objective selection process. Research data were collected through interviews with BEM advisors to determine the assessment criteria and their corresponding weights. Five criteria were used, namely leadership, communication skills, organizational experience, integrity, and grade point average (GPA). The MOORA method consists of decision matrix construction, normalization, optimization value calculation, and ranking. The results indicate that candidate K1 achieved the highest optimization value of 0.473 and was therefore recommended as the selected BEM President. The implementation of the MOORA method provides a more objective, systematic, transparent, and accurate decision-making process, making it an effective tool for supporting the selection of the most suitable BEM President based on predetermined criteria.
Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:Pariwisata halal di Indonesia menunjukkan perkembangan signifikan, ditandai dengan meningkatnya kebutuhan akan akomodasi yang sesuai dengan prinsip syariah. Hotel syariah hadir sebagai jawaban atas kebutuhan wisatawan muslim…
slim dengan menyediakan fasilitas ibadah, makanan halal, serta desain yang sesuai ketentuan syariah. Penelitian ini bertujuan untuk menganalisis persepsi konsumen terhadap fasilitas dan desain hotel syariah di wilayah Jabodetabek. Penelitian menggunakan pendekatan kuantitatif dengan metode survei, melibatkan 150 responden yang pernah menginap di hotel syariah. Data dikumpulkan melalui kuesioner terstruktur dan dianalisis menggunakan teknik Weighted Mean Score (WMS) untuk mengetahui tingkat penilaian responden pada setiap indikator. Hasil penelitian menunjukkan bahwa pada aspek fasilitas, responden memberikan penilaian sangat tinggi dengan rata-rata skor 4,760 – 4,880. Fasilitas ibadah, termasuk ketersediaan perlengkapan shalat di kamar dan area bersuci, merupakan aspek yang paling diapresiasi. Pada aspek desain, rata-rata penilaian responden berada di atas 4,300, dengan apresiasi tinggi terhadap tata letak yang memperhatikan arah kiblat serta ketiadaan dekorasi berbentuk makhluk hidup. Namun, pemisahan ruang tunggu atau ruang pertemuan pria dan wanita memperoleh skor relatif lebih rendah (4,127). Temuan ini menegaskan bahwa hotel syariah di Jabodetabek telah memenuhi ekspektasi tamu muslim, meskipun masih perlu perbaikan pada aspek diferensiasi gender untuk memperkuat identitas syariah dan meningkatkan daya saing di industri perhotelan.