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REMAJA CERDAS, SEHAT, DAN BERAKHLAK: PENYULUHAN KESEHATAN REPRODUKSI DI MAS BABUN NAJAH Ulfa Husna Dhirah; Fitriyanti Fitriyanti; Rizka Amalia Putri; Finaul Asyura; Ririn Nabila
JURNAL PENGABDIAN KEPADA MASYARAKAT BIDANG KESEHATAN Vol 7, No 2 (2025): OKTOBER 2025
Publisher : Universitas Ubudiyah Indonesia

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Abstrak Remaja merupakan kelompok usia yang rentan terhadap permasalahan kesehatan reproduksi, seperti pernikahan dini, kehamilan tidak diinginkan, serta infeksi menular seksual. Kurangnya pengetahuan dan pemahaman yang benar menjadi salah satu faktor utama. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan dan sikap remaja mengenai kesehatan reproduksi melalui penyuluhan di MAS Babun Najah. Metode yang digunakan adalah edukasi melalui ceramah interaktif, diskusi, serta pembagian leaflet. Kegiatan diikuti oleh 45 siswi putri kelas XI. Evaluasi dilakukan menggunakan pretest dan posttest. Hasil menunjukkan adanya peningkatan pemahaman siswa mengenai konsep pubertas, kebersihan organ reproduksi, risiko pergaulan bebas, serta pentingnya menjaga nilai moral dan agama dalam pergaulan. Kesimpulan penyuluhan kesehatan reproduksi efektif meningkatkan pengetahuan dan membentuk sikap positif remaja dalam menjaga kesehatan reproduksi sesuai nilai agama dan norma sosial. Kata Kunci: Remaja, Kesehatan Reproduksi, Penyuluhan, Edukasi, Sekolah

PENINGKATAN KUALITAS HIDUP REMAJA PUTRI MELALUI EDUKASI NYERI HAID DAN PELAKSANAAN SENAM DISMENORE DI MAS BABUN NAJJAH KOTA BANDA ACEH Raudhatun Nuzul ZA; Fitriyanti Fitriyanti; Ulfa Husna Dhirah; Rizky Swastika Renjani
JURNAL PENGABDIAN KEPADA MASYARAKAT BIDANG KESEHATAN Vol 7, No 2 (2025): OKTOBER 2025
Publisher : Universitas Ubudiyah Indonesia

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Nyeri haid (dismenore) merupakan salah satu masalah kesehatan reproduksi yang paling sering dialami oleh remaja putri dan berdampak pada aktivitas belajar serta kualitas hidup mereka. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman dan kemampuan remaja putri dalam menangani nyeri haid melalui edukasi kesehatan serta praktik langsung senam dismenore sebagai metode non-farmakologis. Program dilaksanakan di MAS Babun Najjah Kota Banda Aceh dengan melibatkan 22 siswi kelas XII. Metode kegiatan mencakup penyuluhan, diskusi, demonstrasi video, dan praktik senam dismenore yang dievaluasi melalui observasi dan kuesioner. Hasil kegiatan menunjukkan peningkatan pengetahuan remaja mengenai mekanisme nyeri haid, faktor pencetus, serta teknik penanganan non-obat. Seluruh peserta mampu mengikuti gerakan senam dengan baik dan menyatakan bahwa senam mudah dilakukan serta bermanfaat untuk mengurangi ketidaknyamanan saat menstruasi. Kegiatan ini memberikan dampak positif melalui peningkatan pengetahuan, keterampilan manajemen nyeri, serta kesadaran akan pentingnya menjaga kesehatan reproduksi. Intervensi edukasi dan senam dismenore direkomendasikan untuk diterapkan secara berkelanjutan di lingkungan sekolah sebagai upaya promotif dan preventif bagi remaja putri.

Edukasi Dampak dan Solusi Pernikaham Usia Dini Pada Siswa SMP Negeri 7 Penukal Desa Air Itam Timur Kabupaten Penukal Abab Lematang Ilir (PALI) tahun 2025 Ratna Dewi; Trio Utomo; Nadia Septiani; Rara Febriana; Agnes Tirani; Sinta Afriani; Siti Kamaria; Dalina Dalina; Fitriyanti Fitriyanti; Dia afsari
JURNAL PENGABDIAN KADER BANGSA Vol 2 No 1 (2026): Jurnal Pengabdian Kader Bangsa
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Kader Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54816/jpkb.v2i1.900

Early marriage is not a new thing in Indonesia. Early marriage is a phenomenon that is considered normal in the general public. Cases of early marriage are social problems that occur in adolescents, the most victims of early marriage are adolescent girls and occur more in rural areas than in urban areas, early marriage often occurs in poor families, and those with low education. Early marriage is a marriage carriedout by couples before the age of The percentage of the population in PALI district who married at a young age from 2020-2022 was 50% of the population who married at ayoung age, most of whom were women. The purpose of this service is to increase the knowledge of students of SMP N7 Penukal, Air Itam Timur Village, PALI Regency about the impacts and solutions to early marriage. The steps of the activity consist of establishing cooperativerelationships, submitting proposals and setting schedules, and involving process evaluations with question and answer sessions. This counseling involves lecture methods, discussions and questions and answers, audio-visual media. The results of this community service activity are that there is an increase in understanding and knowledge of students of SMP N7 Penukal, Air Itam Timur Village, PALI Regency about the negative impacts and dangers of early marriage and efforts to prevent early marriage. Suggestion There needs to be cooperation from variousparties to prevent early marriages that have negative impacts and continue to make efforts to socialize education on the dangers of early marriage for teenagers.

ANALISIS KEBERTAHANAN HIDUP ORANG ASLI PAPUA BERDASARKAN ASPEK INFRASTRUKTUR DI PERMUKIMAN KUMUH KELURAHAN KLAWALU KOTA SORONG Ummi Hanifah Marshush; Murni Murni; Nabila Nabila; Fitriyanti Fitriyanti
Jurnal Pembangunan Nagari Vol 11 No 1 (2026)
Publisher : Badan Penelitian and Pengembangan (Balitbang), Padang, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30559/jpn.v6i11.797

Development in the land of Papua, particularly in terms of housing provision, often still places Indigenous Papuans (OAP) in a marginalized position. In Sorong City, many OAP live in slum settlements, one of which is located in Klawalu sub-district. The slum settlements are not fully equipped with basic infrastructure. However, they continue to live and survive in these conditions. The purpose of this study is to explore how OAP survive in the slum settlements of Klawalu sub-district despite in adequate infrastructure. This research was conducted using a qualitative approach, with phenomenology analytical method. The results show that there are several strategies by OAP to survive, including self-help efforts in providing infrastructure particularly in creating access to houses located in swamp area, adapting to the environment, seeking alternatives and strategies to meet needs such as lighting, electricity networks, clean water, and sanitation, the advantages of their stilt house structure, local wisdom, sharing energy resources, and receiving assistance from the government. Local wisdom that needs to be maintained is a very strong attitude of closeness and kinship, an attitude of solidarity of local leaders, an active and open mind towards the planning programs that the government wants to carry out. To improve the quality of life of OAP, it is necessary to develop and improve basic infrastructure.

Digital Visibility, Algorithmic Misclassification, and Welfare Exclusion Among Informal Workers: A Mixed-Methods Study in Indonesia Harun Urrashid; Fitriyanti Fitriyanti
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 3 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i3.325

Background: Algorithmic governance is reshaping social protection, yet the distributive consequences of automated welfare targeting in the Global South remain poorly understood. The study was grounded in street-level bureaucracy and procedural-justice theory. Objective: To examine whether digital transaction visibility and employment informality predict false-negative welfare exclusion, whether perceived algorithmic misclassification mediates these effects, and whether algorithmic procedural justice moderates them. Methods: An explanatory-sequential mixed-methods design combined an audit of 2,500 automated eligibility decisions with a cross-sectional survey of 640 household heads served by a public organization in Palembang, South Sumatera, Indonesia (response rate 84.2%), and phenomenological interviews with false-negative cases. Results: All scales were reliable (Cronbach's alpha 0.79-0.88). The audit found 72.3% aggregate accuracy and a 23.4% false-negative rate, rising to 55.1% among undocumented households. Employment informality (beta=0.28), misclassification (beta=0.31), and digital transaction visibility (beta=0.19) positively predicted exclusion, while procedural justice was protective (beta=-0.22); the model explained 52% of variance (F(9,630)=75.84, p<0.001). Misclassification partially mediated the informality-exclusion link (indirect effect=0.17, 95% CI [0.12, 0.23]), procedural justice buffered it (interaction beta=-0.14, p=0.002), and non-digital informal workers had 4.27 times higher exclusion odds (95% CI [2.98, 6.12]). Interviews showed that gross e-wallet throughput was misread as income and frontline discretion collapsed into a computer-says-no bureaucracy. Conclusion: Algorithmic unfairness in Indonesia reflects parameterization bias against informal livelihoods. Welfare systems should restore conditional human-in-the-loop discretion and accessible appeal mechanisms.

Digital Visibility, Algorithmic Misclassification, and Welfare Exclusion Among Informal Workers: A Mixed-Methods Study in Indonesia Harun Urrashid; Fitriyanti Fitriyanti
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 3 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i3.325

Background: Algorithmic governance is reshaping social protection, yet the distributive consequences of automated welfare targeting in the Global South remain poorly understood. The study was grounded in street-level bureaucracy and procedural-justice theory. Objective: To examine whether digital transaction visibility and employment informality predict false-negative welfare exclusion, whether perceived algorithmic misclassification mediates these effects, and whether algorithmic procedural justice moderates them. Methods: An explanatory-sequential mixed-methods design combined an audit of 2,500 automated eligibility decisions with a cross-sectional survey of 640 household heads served by a public organization in Palembang, South Sumatera, Indonesia (response rate 84.2%), and phenomenological interviews with false-negative cases. Results: All scales were reliable (Cronbach's alpha 0.79-0.88). The audit found 72.3% aggregate accuracy and a 23.4% false-negative rate, rising to 55.1% among undocumented households. Employment informality (beta=0.28), misclassification (beta=0.31), and digital transaction visibility (beta=0.19) positively predicted exclusion, while procedural justice was protective (beta=-0.22); the model explained 52% of variance (F(9,630)=75.84, p<0.001). Misclassification partially mediated the informality-exclusion link (indirect effect=0.17, 95% CI [0.12, 0.23]), procedural justice buffered it (interaction beta=-0.14, p=0.002), and non-digital informal workers had 4.27 times higher exclusion odds (95% CI [2.98, 6.12]). Interviews showed that gross e-wallet throughput was misread as income and frontline discretion collapsed into a computer-says-no bureaucracy. Conclusion: Algorithmic unfairness in Indonesia reflects parameterization bias against informal livelihoods. Welfare systems should restore conditional human-in-the-loop discretion and accessible appeal mechanisms.

UJI AKTIVITAS ANTIBAKTERI EKSTRAK ETIL ASETAT DAUN TIGARON (Crataeva nurvala Buch. Ham) TERHADAP Staphylococcus aureus DENGAN METODE SUMURAN Putri Kartika Sari; Nanda Amelia Rahmi; Fitriyanti Fitriyanti
Klinikal Sains : Jurnal Analis Kesehatan Vol. 12 No. 2 (2024): Desember
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/klinikal_sains.v12i2.5121

Staphylococcus aureus infection is characterized by tissue damage accompanied by purulent abscesses. Antibiotics are a group of drugs using to treat and prevent bacterial infections. However, long-term use causes antibiotic resistance. Efforts made to increase antibiotic resistance include using natural ingredients as alternative treatments. Tigaron is an empirical medicinal plant whose leaves are used to treat abscesses, wounds and skin diseases. This research aims to determine the types of secondary metabolite compounds and antibacterial activity against Staphylococcus aureus from ethyl acetate extract of tigaron leaves (Crataeva nurvala Buch. Ham). This research was experimental with a post test only control group design with 7 concentration variations. Extraction made by maceration using ethyl acetate, identification of secondary metabolite using phytochemical screening, antibacterial activity tested using well diffusion method. The results showed that concentration â€‹â€‹of 0.31 mg/mL, 1.55 mg/mL and 7.75 mg/mL were in medium category. Concentrations of 38.75 mg/mL and 193.75 mg/mL were in strong category. Chloramphenicol as a positive control had strongest inhibition zone diameter. The conclusion are ethyl acetate extract of tigaron leaves contain alkaloid, flavonoid and steroid which inhibiting the growth of Staphylococcus aureus, so it has the potential to be a natural antibiotic using to treat infectious diseases

Workshop Peningkatan Kompetensi Pemrograman Web bagi Siswa Peserta Lomba Kompetensi Siswa SMK Adisuputra Adisuputra; Aditya Ahmad Fauzi; Ditra Liandaputra; Fitriyanti Fitriyanti; Tri Dewi Yuni Utami; Dzalfa Tsalsabila Rhamadiyanti
JPMNT JURNAL PENGABDIAN MASYARAKAT NIAN TANA Vol. 4 No. 3 (2026): Juli: Jurnal Pengabdian Masyarakat Nian Tana
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/jpmnt.v4i3.1427

The Student Competency Competition (LKS) in the field of Web Technologies for Vocational High Schools (SMK) demands a high level of web programming expertise aligned with the requirements of the modern digital industry. However, most participating students often face constraints in implementing clean code architecture, optimal performance, and W3C standardization validation. This community service activity aims to improve the technical web programming competence of vocational students who are prospective LKS participants through an intensive workshop delivery method. The partners for this service involve vocational students majoring in Software Engineering along with their mentoring teachers. The implementation method is systematically organized into three main phases, including prerequisite needs analysis, intensive training based on LKS jury standard modules, and independent project simulation evaluation. The results of the workshop implementation showed a significant increase in the technical capabilities of the participants, where the understanding of modern web architecture, basic security implementation, and compliance with code writing regulations experienced optimal improvement. Documentation of activities and students' portfolio work proves that the LKS jury criteria-based workshop approach is effective in preparing the mental and technical competence of the participants. The implication of this activity is expected to serve as a sustainable coaching model for schools to increase the competitiveness of vocational graduates in both regional and national competition events.

Analisis Komparatif Metode Machine Learning dalam Klasifikasi Risiko Penyakit Jantung Berbasis Data Kaggle Adisuputra Adisuputra; Aditya Ahmad Fauzi; Ditra Liandaputra; Fitriyanti Fitriyanti; Tri Dewi Yuni Utami
Switch : Jurnal Sains dan Teknologi Informasi Vol. 4 No. 4 (2026): Juli : Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v4i4.952

Heart disease remains one of the leading causes of the highest mortality rates worldwide, requiring a fast and accurate early detection system to minimize the risk of fatality. This study aims to test, compare, and analyze the performance of two popular machine learning methods, Support Vector Machine (SVM) and Naive Bayes, in classifying the risk of heart attacks. The research method applied is quantitative experimental, utilizing structured secondary data from the Kaggle repository, which includes 79,583 patient medical records. The data preprocessing stages involve handling missing values, feature normalization using the MinMax Scaler technique, and dataset splitting with a proportion of 80% training data and 20% testing data. The research findings indicate that the SVM architecture significantly dominates global performance, achieving an accuracy rate of 0.9847, a precision of 0.9594, and an F1-score of 0.8745. On the other hand, the Naive Bayes algorithm records the highest sensitivity (recall) value of 0.9017, compared to SVM, which only reaches 0.8034. The implications of this study confirm that although SVM is highly superior in the aggregate and accurate in suppressing false-positive rates, Naive Bayes demonstrates better characteristics for initial screening scenarios due to its high sensitivity in minimizing the risk of undetected critical patients.

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