Abstract:Digital financial transparency is crucial for achieving the Sustainable Development Goals (SDGs), particularly for building accountable and trustworthy public institutions. Limited studies examine whether digitalization…
actually delivers accessible financial information and whether such transparency strengthens sustainable public governance. This study addresses that gap by constructing an original, multi-dimensional, portal-level Digital Financial Transparency Index (DFTI) and linking it to sustainable public governance, an association not previously tested at the Indonesian subnational level. Using a quantitative, explanatory design, financial management and public information portals are assessed through content analysis. Twenty-one indicators covering organizational information, financial transparency, and website accessibility are aggregated into the DFTI. Sustainable public governance is proxied by the 2024 electronic-based government system (SPBE) index, the only nationally standardized, externally assessed, and annually published measure of digital public administration maturity in Indonesia. Ordinary least squares regression tests the hypothesis, complemented by Spearman correlation as a non-parametric robustness check suited to the small city and regency subsamples. The findings show DFTI has a positive and significant effect on SPBE (β = 0.026; p = 0.032). The effect operates through content rather than appearance: among regencies, organizational information and financial transparency correlate significantly (p < 0.05) with SPBE, website accessibility does not. The results provide recommendations that local governments should adopt a standardized minimum financial-disclosure content and prioritize the weakest indicators, which are raw data, citizen-friendly budget summaries, and personal data protection. Also the provincial government should channel budget-capacity support to low-DFTI regencies, where transparency and maturity are most strongly associated with budget resources to advance SDG 17.
Abstract:The economic structure of Aceh Province is still dominated by the agriculture, forestry, and fisheries sectors, while the contribution of the manufacturing industry sector is relatively lagging. This condition indicates…
that the structural transformation process in Aceh has not yet taken place optimally, so that the economic growth that occurs tends to be quantitative, marked by an increase in aggregate output, but does not fully reflect an increase in the quality of the economic structure. This study aims to analyze the influence of the agriculture, manufacturing industry, and mining sectors on the growth of the Regional Gross Regional Domestic Product (GRDP) of Aceh Province. The approach used is quantitative with secondary data sources from the BPS of Aceh Province. This study uses panel data which is a combination of cross-regional data and time series data from 2019 to 2023. The results of the study indicate, first; the agricultural sector has a positive effect on GRDP. This is based on the probability value of the agricultural sector variable, which is 0.002. This value is smaller than 0.05. Second; the industrial sector has no effect on GRDP. This is based on the probability value of the industrial sector variable, which is 0.610. This value is greater than 0.05. Third; the mining sector has a positive effect on GRDP. This is based on the probability value of the mining sector variable, which is 0.001. Fourth; The agricultural, industrial and mining sectors have a joint influence on the dependent variable, namely GRDP in Aceh Province
Abstract:Abstrak: The selection of housing is a critical decision that involves the consideration of multiple criteria objectively. In Kisaran City, the rapid growth of the property sector has led to a wide variety of housing options,…
ions, each with distinct characteristics, making it difficult for potential buyers to determine the most suitable choice. This study aims to apply the Weighted Aggregated Sum Product Assessment (WASPAS) method to support the decision-making process for selecting the best housing based on five main criteria: location, price, security, public facilities, and environment. Each criterion is analyzed quantitatively through the assignment of weights and scores to each housing alternative. The WASPAS method generates a final ranking, where the alternative with the highest score is considered the optimal choice. The results show that the WASPAS method is effective in simplifying the multi-criteria decision-making process and provides accurate and rational recommendations for selecting housing that best meets the needs of the community. This study is expected to serve as a reference for prospective buyers and property developers in planning and marketing strategies.
Keywords: waspas; housing selection; kisaran city; decision support system; multi-criteria decision-making.
Abstrack: Pemilihan perumahan merupakan keputusan penting yang memerlukan pertimbangan berbagai kriteria secara objektif. Di Kota Kisaran, pertumbuhan pesat di sektor properti menghadirkan beragam pilihan perumahan dengan karakteristik yang berbeda, sehingga calon pembeli sering kali kesulitan dalam menentukan pilihan yang paling sesuai. Penelitian ini bertujuan untuk menerapkan metode Weighted Aggregated Sum Product Assessment (WASPAS) dalam membantu proses pengambilan keputusan pemilihan perumahan terbaik berdasarkan lima kriteria utama, yaitu lokasi, harga, keamanan, fasilitas umum, dan lingkungan. Setiap kriteria dianalisis menggunakan pendekatan kuantitatif dengan pemberian bobot dan penilaian terhadap masing-masing alternatif perumahan. Hasil dari metode WASPAS menghasilkan peringkat akhir dari alternatif perumahan yang dianalisis, di mana alternatif dengan nilai tertinggi dianggap sebagai pilihan terbaik. Penelitian ini menunjukkan bahwa metode WASPAS efektif dalam menyederhanakan proses pengambilan keputusan multikriteria dan memberikan hasil yang akurat dan rasional dalam memilih perumahan yang paling sesuai dengan kebutuhan masyarakat. Temuan ini diharapkan dapat menjadi referensi bagi calon pembeli maupun pengembang dalam perencanaan dan strategi pemasaran properti.
Kata Kunci: waspas; pemilihan perumahan; kota kisaran; sistem pendukung keputusan; multikriteria
Abstract:Abstract: Understanding students’ emotional conditions is important for evaluating engagement and learning atmosphere in classroom environments. However, conventional evaluation methods are often subjective and difficult…
lt to apply in real time. Therefore, this study proposes a real-time multi-face emotion detection system designed for classroom learning environments. The system integrates a CNN-based Tiny Face Detector for multi-scale face localization with a convolutional neural network to classify seven facial emotions: angry, disgust, fear, happy, sad, surprise, and neutral. Experimental evaluation was conducted using classroom video data under varying lighting conditions, face orientations, partial occlusions, and different numbers of detected faces per frame. The proposed system achieves stable real-time performance with processing speeds ranging from 10–20 FPS, depending on face density. The results show higher recognition performance for expressive emotions, while subtle emotions remain more challenging. Overall classification accuracy reaches above 80% when emotion predictions are aggregated across multiple faces and time windows. These results indicate that the proposed system is suitable for objective analysis of emotional dynamics in classroom environments and supports the deployment of lightweight emotion-aware monitoring systems for educational applications.
Keywords: classroom monitoring; convolutional neural network; facial emotion recognition; multi-face detection; tiny face detector.
Abstrak: Pemahaman terhadap kondisi emosional mahasiswa penting untuk mengevaluasi keterlibatan dan suasana pembelajaran di kelas. Namun, metode evaluasi konvensional umumnya bersifat subjektif dan sulit diterapkan secara real-time. Oleh karena itu, penelitian ini mengusulkan sistem deteksi emosi multi-wajah secara real-time yang dirancang untuk lingkungan pembelajaran di kelas. Sistem mengintegrasikan Tiny Face Detector berbasis CNN untuk pelokalan wajah multi-skala dengan jaringan saraf konvolusional untuk mengklasifikasikan tujuh emosi wajah, yaitu marah, jijik, takut, senang, sedih, terkejut, dan netral. Evaluasi eksperimen dilakukan menggunakan data video kelas dengan variasi kondisi pencahayaan, orientasi wajah, oklusi parsial, serta jumlah wajah yang berbeda dalam satu frame. Sistem menunjukkan kinerja real-time yang stabil dengan kecepatan pemrosesan antara 10–20 FPS, bergantung pada kepadatan wajah. Hasil pengujian menunjukkan kinerja yang lebih baik pada emosi ekspresif, sementara emosi dengan ciri halus lebih menantang untuk dikenali. Akurasi klasifikasi keseluruhan mencapai di atas 80% ketika hasil emosi diagregasi berdasarkan banyak wajah dan interval waktu. Hasil ini menunjukkan bahwa sistem yang diusulkan berpotensi digunakan untuk analisis objektif dinamika emosi di kelas serta mendukung pemantauan lingkungan pembelajaran berbasis kecerdasan buatan.
Kata kunci: pengenalan emosi wajah; deteksi multi-wajah; Tiny Face Detector; jaringan saraf konvolusional; pemantauan kelas.
Abstract:The territory of Indonesia is a high level of earthquake risk among several earthquake areas around the world. One way to reduce the occurrence of potential damage to building construction is to utilize waste and metal as…
s added material from coarse and fine aggregate to the flexural strength of beams that have equivalent flexural strength. The equivalent flexural strength value tends to increase with the addition of metal fibers. This study aims to determine the effect of adding metal fibers to the flexural strength of the beam and the pattern of cracks and collapse mechanisms that occur in the beam when the object is tested. This research is a type of quantitative research with physical laboratory experimental methods. The data collection method used is a preliminary study, The selection of the type of aggregate and metal fiber and secondary data were then carried out laboratory tests for the gradation of fine aggregate and coarse aggregate. The data analysis technique is linear regression analysis in the Ms. program. Excell to determine the effect of metal fibers as additives on the flexural strength of the mixing of coarse and fine aggregates.
Abstract:Evaluasi kinerja pegawai honorer di instansi publik seringkali bergantung pada penilaian linguistik yang subjektif, sehingga memicu bias penilai dan keterbatasan akuntabilitas. Untuk mengatasi masalah tersebut, penelitian…
n ini mengusulkan model hibrida Fuzzy-Weighted Product. Logika Fuzzy diterapkan untuk mentransformasikan istilah linguistik menjadi Triangular Fuzzy Numbers (TFN) dan skor tegas (crisp), sementara metode Weighted Product digunakan untuk mengagregasikan skor tersebut berdasarkan bobot multi-kriteria. Model ini dievaluasi melalui studi kasus yang melibatkan sepuluh pegawai honorer berdasarkan lima kriteria: disiplin, tanggung jawab, kualitas kerja, kerja sama, dan inisiatif. Hasil eksperimen menunjukkan bahwa model hibrida ini berhasil meminimalkan subjektivitas penilai dan menghasilkan perengkingan yang dapat direproduksi secara matematis. Analisis sensitivitas mengonfirmasi stabilitas hasil peringkat akhir, sehingga model Hibrida Fuzzy Weighted Product yang diusulkan ini sangat sesuai untuk digunakan sebagai kerangka kerja utama dalam sistem pendukung keputusan untuk penilaian kinerja di sektor publik.
Performance evaluation of honorary employees in public institutions often relies on subjective linguistic assessments, leading to evaluator bias and limited accountability. To address this, this paper proposes a Hybrid Fuzzy-Weighted Product (Fuzzy-Weighted Product) model. Fuzzy Logic is adopted to transform linguistic terms into Triangular Fuzzy Numbers (TFN) and crisp scores, while the Weighted Product method aggregates these scores based on multi-criteria weights. The model was evaluated using a case study of ten honorary employees across five criteria: discipline, responsibility, work quality, cooperation, and initiative. The experimental results demonstrate that the hybrid model successfully minimizes evaluator subjectivity and delivers mathematically reproducible rankings. A sensitivity analysis confirms the stability of the final rankings, making the proposed Hybrid Fuzzy–Weighted Product model highly suitable as a core framework for decision-support systems in public sector performance appraisal.
Abstract:Dalam dunia akademik, khususnya di jurusan Sistem Informasi, pemilihan laptop yang sesuai menjadi kebutuhan esensial guna menunjang kegiatan pembelajaran. Banyaknya pilihan laptop dengan spesifikasi dan harga yang sangat…
bervariasi sering membingungkan mahasiswa dalam menentukan pilihan terbaik. Penelitian ini bertujuan untuk membangun sebuah Sistem Pendukung Keputusan (SPK) yang membantu mahasiswa dalam memilih laptop berdasarkan kriteria objektif menggunakan metode Weighted Aggregated Sum Product Assessment (WASPAS). Metode ini menggabungkan pendekatan jumlah tertimbang (WSM) dan produk tertimbang (WPM), sehingga menghasilkan evaluasi yang lebih komprehensif. Kriteria yang digunakan meliputi harga, prosesor, RAM, dan kapasitas penyimpanan. Hasil akhir dari sistem menunjukkan bahwa laptop Compaq Presario memperoleh nilai preferensi tertinggi sebesar 0,9341, sehingga direkomendasikan sebagai pilihan terbaik bagi mahasiswa. Dengan adanya sistem ini, mahasiswa dapat memperoleh referensi yang lebih akurat dan berbasis data dalam memilih laptop sesuai kebutuhan perkuliahan mereka
Abstract:Penelitian ini bertujuan untuk mengembangkan metode pemilihan penerima bantuan pemanfaatan dan penghunian rumah susun kota Tanjungbalai dengan menggunakan metode Weighted Aggregated Sum Product Assesment (WASPAS). Metode…
WASPAS digunakan untuk menyelesaikan masalah pemilihan yang kompleks dengan mempertimbangkan kriteria yang berbeda dan bobot yang berbeda untuk masing-masing kriteria. Penelitian ini menggunakan data calon penerima bantuan pemanfaatan dan penghunian rumah susun kota Tanjungbalai. Terdapat 7 kriteria yang digunakan dalam penelitian ini. Setelah mendapatkan data kriteria, maka dilakukan analisis WASPAS untuk menentukan bobot kriteria dan ranking kandidat. Selanjutnya, ranking kandidat ditentukan dengan membandingkan nilai preferensi setiap calon penerima bantuan dengan nilai preferensi ideal. Hasil penelitian menunjukkan bahwa calon penerima bantuan dengan ranking tertinggi adalah calon penerima bantuan yang memenuhi kriteria yang ditetapkan. Berdasarkan hasil penelitian ini, dapat disimpulkan bahwa metode WASPAS dapat digunakan sebagai alat bantu dalam pemilihan penerima bantuan pemanfaatan dan penghunian rumah susun kota Tanjungbalai dengan efektif dan efisien. Metode ini dapat juga dapat meminimalkan kesalahan dalam pemilihan dan meningkatkan efektivitas bantuan yang diberikan.