Article Per Year (5 Year)
p-Index From 2021 - 2026
1.116
P-Index
This Author published in this journals
All Journal Psikoislamedia : Jurnal Psikologi International Journal of Educational Research and Social Sciences (IJERSC) Journal of Innovation Research and Knowledge Jurnal Visualika
Dewi, Nur Kumala
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
THE EFFECTIVENESS OF FAMILY INTERVENTION MODEL ON PARENTS EFFECTIVE COMMUNICATION SKILLS IN SEXUAL VIOLENCE Dewi, Nur Kumala; Jati, Sri Nugroho; Trisnawati, Elly
Psikoislamedia: Jurnal Psikologi Vol. 8 No. 1 (2023): PSIKOISLAMEDIA: JURNAL PSIKOLOGI
Publisher : Fakultas Psikologi, Universitas Islam Negeri (UIN) Ar Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/psikoislamedia.v8i1.17107

Abstract

Sexual violence that occurs in children's classrooms places them with a significant impact on their health and lifelong well-being. This study aimed to identify the Family Intervention Model's effectiveness on parents' practical communication skills in preventing children from acts of sexual violence in border areas. This research comprised 23 wives and 23 husbands from Kecamatan Sajingan Besar. Qualitative data was collected with observations. During the research, the Parents Effective Communication Scale was used as means of quantitative data collection. The pre-test scale was given in the rapport-building session, and the post-test for the last session of intervention. The data has been analyzed using Wilcoxon Test. The Wilcoxon test showed the Z value is -5.437 with a significance value (p-value) of 0.000. The test significance value (p-value) is smaller than 0.05 (0.000 < 0.05), so there was a significant difference in parents' effective communication after the intervention.Keywords: effective communication; family intervention models; sexual violence
ARTIFICIAL INTELLIGENCE AND THE JOBS OF THE FUTURE: PREPARING YOUNG MODERATES FOR CHANGE Dewi, Nur Kumala; Wulandari, Novita
Journal of Innovation Research and Knowledge Vol. 5 No. 4: September 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan pesat artificial intelligence (AI) membawa perubahan besar pada berbagai aspek kehidupan, termasuk dunia kerja. Otomatisasi dan robotisasi yang didorong oleh AI diprediksi akan menggantikan banyak pekerjaan yang saat ini dilakukan oleh manusia menimbulkan kekhawatiran tentang masa depan pekerjaan, terutama bagi generasi muda. Penelitian ini bertujuan untuk memahami bagaimana AI akan memengaruhi dunia kerja di masa depan dan bagaimana pendidikan karakter dan moderasi beragama dapat membantu generasi muda dalam menghadapi perubahan tersebut. Penelitian ini menggunakan metode penelitian kualitatif. Teknik pengumpulan data pada penelitian ini yakni dengan studi literatur. Data yang telah terkumpul kemudian dianalisis dalam tiga tahapan yakni reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukan tantangan etika, sosial, dan pendidikan yang muncul seiring dengan perkembangan AI, serta strategi pendidikan dan kebijakan yang diperlukan untuk mempersiapkan generasi muda. Kolaborasi lintas sektor menjadi kunci dalam menghadapi tantangan ini, yaitu pemerintah, lembaga pendidikan, dan sektor swasta bekerja bersama untuk memastikan bahwa generasi mendatang memiliki fondasi yang kuat untuk menghadapi era AI dengan keyakinan dan kesuksesan. Dengan demikian, pentingnya upaya bersama dalam mempersiapkan generasi muda untuk masa depan yang dipengaruhi oleh AI di PD Multi Ras.
Supervision and Law Enforcement on Intelligent Transportation Systems on the Highway Dewi, Nur Kumala
International Journal of Educational Research & Social Sciences Vol. 2 No. 1 (2021): February 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i1.20

Abstract

This research discusses the supervision and law enforcement on the transportation system, which will be applied to the smart transportation system. With this system, the police and local governments will be able to monitor the transportation system in a city, especially law enforcement on roads. The method used in this study is to use a literature review which is the basis for this research, by using a literature review it will be able to deepen a research, and be able to understand previous studies in order to create new research. The problem raised in this research is how to apply law enforcement on the highway to land transportation, both public vehicles and private vehicles that are on the highway every day, with strict law enforcement it will reduce crime on the road and can reduce accidents on the road Highway. This research will produce a proposed system, which can be used by the police and local governments in enforcing the law on public or private vehicles on the road.
Decision Support System to Determine the Right Department in Higher Education Based on the Interests and Talents of Prospective Students by Applying the AHP Method Dewi, Nur Kumala
International Journal of Educational Research & Social Sciences Vol. 2 No. 1 (2021): February 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i1.23

Abstract

The background of this research is how to determine the best choice in determining a major in higher education, with various existing majors, students must be able to choose the right department for themselves, with the right majors, the lectures will be maximized and the student will not experience difficulties. in entering lectures. The method used in this study is to use quantitative methods, based on literature reviews, with literature review methods, it will refer to previous research that has produced something for the wider community, with the development of previous research, this research will become the latest research. . There are several studies that use the AHP method, for example in the field of decision support systems in the field of psychology, the recruitment department of new employees, using the AHP method can determine which employee is the best for a position in a company, this method will help HRD in determining acceptable employees in a company. This research will show how an AHP method can provide the best solution in choosing a department in a college, which is carried out on prospective new students at a university.
APLIKASI BELAJAR BAHASA INGGRIS MANDIRI DENGAN CHATBOT KOREKSI GRAMMAR REAL-TIME BERBASIS NATURAL LANGUAGE PROCESSING Angeli, Ananda Gracia; Dewi, Nur Kumala
Jurnal Visualika Vol. 11 No. 2 (2025): Jurnal Visualika
Publisher : Prodi Sistem Informasi Universitas Saintek Muhammadiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56459/82epxr72

Abstract

Pembelajaran Bahasa Inggris di SMP Bethesda Indonesia menghadapi kendala metode konvensional yang belum mampu mengakomodasi kemampuan siswa yang beragam, diperparah keterbatasan waktu kelas (1,5 jam) sehingga umpan balik individual dari guru menjadi minim dan tidak tersedia media latihan interaktif di luar jam pelajaran. Penelitian ini bertujuan merancang dan membangun aplikasi pembelajaran Bahasa Inggris berbasis mobile yang menyajikan materi secara adaptif serta menerapkan metode Natural Language Processing (NLP) agar sistem mampu menganalisis dan memberikan respons korektif secara otomatis dan real-timeterhadap input kalimat siswa. Penelitian menggunakan pendekatan kualitatif dengan metodologi pengembangan sistem model waterfall. Sistem memproses inputkalimat melalui empat komponen berurutan, yaitu parser untuk analisis sintaksis, sistem representasi pengetahuan untuk analisis semantik, pattern matching untuk validasi tata bahasa, dan output translator untuk menghasilkan umpan balik. Aplikasi dibangun dengan bahasa JavaScript dan framework React Native serta basis data MySQL, dimodelkan menggunakan UML. Pengumpulan data dilakukan melalui studi pustaka, observasi, dan wawancara dengan guru dan siswa. Hasil penelitian berupa aplikasi pembelajaran berbasis mobile dengan fitur chatbot NLP yang memberikan umpan balik korektif instan terhadap kesalahan grammar dan struktur kalimat. Pengujian User Acceptance Test (UAT) mencapai 99,25% dengan klasifikasi Sangat Baik, sedangkan USE Questionnaire terhadap 34 responden memperoleh 83,06% dengan klasifikasi Sangat Baik. Dengan demikian, penelitian ini menyimpulkan bahwa aplikasi belajar berbasis chatbot NLP terbukti efektif memberikan koreksi grammar secara instan, mendukung kemandirian belajar siswa, sekaligus meringankan beban koreksi manual guru dalam pembelajaran bahasa Inggris tingkat SMP.
Co-Authors Angeli, Ananda Gracia Elly Trisnawati Jati, Sri Nugroho Novita Wulandari Putra, Arman Syah