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A CIA-based Sustainable Security Risk Mitigation Model for E-Certificate Systems
Suharsono, Teguh Nurhadi
; Choi , John
; Agusiady , Raden Ricky
; Saepudin, Didin
; Sukadwilinda
; Purwanto, Heri
; Savitri , Peti
; Munastha, Ketut Abimanyu
E-certificates are increasingly adopted across sectors, yet existing studies have not developed an integrated risk mitigation model that combines CIA-based sustainable security with operational and stakeholder perspectives. Current frameworks primarily address isolated technical risks or focus on general PKI security, leaving a gap in holistic modeling tailored to end-to-end e-certificate implementation. This study addresses this gap by proposing a Sustainable Security Risk Mitigation Model for...
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From school to state university: The role of teachers in building high school students' motivation for further education
Higher education plays an important role in improving human resource quality and social mobility. However, participation in higher education among Indonesian high school graduates remains relatively low, particularly in peripheral regions such as South Bangka Regency. This study aimed to explore the role of teachers in fostering Grade XII students’ motivation to pursue public universities. A descriptive qualitative approach was employed involving 14 participants, including principals, homeroom t...
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Student academic hardiness: descriptive analysis and its relationship with individual characteristic
Harahap, Ade Chita Putri
; Indreswari, Henny
; Hidayah, Nur
; Setyowati, Arbin Janu
; Ramli, M
; Makhsin, Mardzelah Binti
; Harahap, Dinda Permatasari
; Simarmata, Sari Wardani
This study aims to analyze students' academic hardiness and examine its differences based on individual characteristics as well as its relationship with academic achievement. This research employed a quantitative approach with a descriptive and correlational design. The participants consisted of 103 students selected using accidental sampling. Data were collected using a Likert-scale questionnaire measuring the dimensions of commitment, control, and challenge. Data analysis was conducted using d...
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Premarital guidance based on the prepare model (premarital preparation and relationship enhancement) to improve students’ readiness for marriage
The low level of marriage readiness among college students is a significant issue in the field of Guidance and Counseling, as it is linked to high rates of marital conflict and divorce among young married couples. Research on PREPARE-model-based premarital guidance services for college students remains relatively limited, particularly in the context of higher education institutions in Indonesia. This study aims to test the effectiveness of PREPARE (Premarital Preparation and Relationship Enhance...
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Effect of Perceptual Motor Program Combined with Obstacle Course Exercise on Dynamic Balance in Children with Autism Spectrum Disorders
Devi, An-nissa Istifarra Koestya
; Ramadhani, Alinda Nur
; Mirawati, Dita
; Agustyaningsih, Nugraheni
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Disorders of the neuromuscular system in children with autism cause motor deficits which cause children with autism to be unable to move. This is caused by a decrease in postural tone. Disturbed postural tone in children with autism will also cause coordination disorders and abnormal movement patterns. Apart from that, improper postural control in children with autism will cause changes in balance and balance disorders. For this reason, researchers provide Perceptual Motor Program...
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Comparative Deep Learning Models for Indonesian Gold Price Forecasting
Putra, Albi Pernata Jomantara
; Williamsyah, Baginda Mi’raj
; Rizal, Achmad
; Dewanta, Favian
; Prasasti, Anggunmeka Luhur
; Ziani, Said
This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best nu...
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Design and Implementation of a Web-Based QR Code Employee Attendance System for Optimizing Attendance Management: A Case Study at Bento and Es Teh Luwes Ungaran
Nufninu, Novinda Grezen
; Rudjiono, Rudjiono
; Panjaitan, Cherlina Helena Purnamasari
; Nufninu, Novinda Grezen
; Rudjiono, Rudjiono
; Panjaitan, Cherlina Helena Purnamasari
Penelitian ini dilatarbelakangi oleh proses absensi karyawan pada Stand Bento dan Stand Es Teh Luwes Ungaran yang masih dilakukan secara manual menggunakan buku absensi. Kondisi tersebut menimbulkan beberapa kendala, seperti kesalahan pencatatan jam masuk dan pulang, risiko kehilangan atau kerusakan data, serta lambatnya proses rekapitulasi laporan kehadiran. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi karyawan berbasis web menggunakan teknologi QR Code guna m...
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Formulation of Indigofera sp. Leaf Extract Nanoparticles Using Ionic Gelation and Freeze-Drying Method as a Feed Supplement for KUB Chickens: Improving Physicochemical Properties and Feed Applicability of Indigofera Extract
This study aimed to formulate nanoparticles of ethanol extract of Indigofera sp. leaves using the ionic gelation method combined with freeze-drying, and to evaluate their potential as a feed supplement for Kampung Unggul Balitbangtan (KUB) chickens. Indigofera leaves are known to be rich in bioactive compounds, particularly tannins and flavonoids, which act as natural antioxidants that can enhance poultry growth performance and health. However, their limited stability and bioavailability reduce...
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A Decision Support System Based on Transformer-Driven Sentiment Analysis of Social Media Data
The growing availability of social media data offers new opportunities for decision support systems (DSS) in large-scale human resource screening. This study proposes a technology-driven DSS architecture integrating transformer-based sentiment analysis to support early-stage candidate profiling. Its novelty lies in combining IndoBERT-based sentence embeddings with a structured DSS layer that aggregates tweet-level sentiment into risk-aware recommendations, rather than treating sentiment classifi...
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Skrining Tekanan Darah Sebagai Upaya Pencegahan Hipertensi di Posyandu Kenanga 1 Desa Bendan
Natalia Novel, Desi
; Dhuha, Ahad Agafian
; Vionyca, Faureladinda
; Yumna, Destya Ashila
; Nanda, Evilia
; Purnama, Ghafari Surya
; Fathurrohman, Muhammad
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar Belakang: Hipertensi merupakan kondisi meningkatnya tekanan darah di atas batas normal dan menjadi salah satu penyebab utama penyakit kardiovaskular. Rendahnya kesadaran masyarakat dalam melakukan pemeriksaan tekanan darah secara rutin menjadikan hipertensi sebagai “silent killer” yang berbahaya. Tujuan: Untuk mengidentifikasi hipertensi melalui skrining tekanan darah dan memberikan informasi kesehatan sebagai upaya pencegahan dan pengendalian hipertensi. Metode: Kegiatan pengabdian kepada...
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