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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Statistika dan Aplikasinya Prosiding Seminar Nasional Pengabdian Kepada Masyarakat MERDEKA: Jurnal Ilmiah Multidisiplin ARIMA : Jurnal Sosial Dan Humaniora Jurnal Konseling Komprehensif: Kajian Teori dan Praktik Bimbingan dan Konseling Agrinus: Jurnal Agro Marin Nusantara International Journal of Technology and Modeling
Nazwa
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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PELATIHAN ACHIEVEMENT MOTIVATION TRAINING UNTUK MENGURANGI BOARDING SCHOOL SYNDROME PADA SANTRI PONDOK PESANTREN DI DESA PASIRTANJUNG, KECAMATAN TANJUNGSARI, KABUPATEN BOGOR Lupi Yudhaningrum; Yufiarti; Irma Rosalinda; Erik; Novitasari R. Damanik; Maulin; Nazwa; Pradna
Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2024): PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT - SNPPM2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Negeri Jakarta

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Abstract

Abstract As part of community service, the Faculty of Psychology Education, State University of Jakarta (UNJ) implemented a community service program in Pasir Tanjung Village, Tanjungsari District, Bogor Regency. This program aims to improve achievement motivation of Islamic Boarding School students through Achievement Motivation Training (AMT). Based on initial observations, it was found that achievement motivation among students was still low. AMT training, developed by McClelland in 1960, aims to increase an individual's internal drive to achieve success. This program includes goal setting, use of feedback, increased personal responsibility, and curiosity about new situations. In addition to helping with learning success, AMT is also useful in facing life's challenges and achieving goals. Evaluation of the effectiveness of the program was carried out through pre-tests and post-tests to measured by NGain Score which will look over the impact of this training. The result is that AMT can reduce Boarding School Syndrome which is often experienced by boarding school students, analyzed with N-Gain (0.58) and effectiveness of 58.46% indicates a significant decrease in boarding school syndrome. Abstrak Sebagai bagian dari pengabdian kepada masyarakat, Fakultas Pendidikan Psikologi Universitas Negeri Jakarta (UNJ) melaksanakan program pengabdian di Desa Pasir Tanjung, Kecamatan Tanjungsari, Kabupaten Bogor. Program ini bertujuan untuk meningkatkan motivasi berprestasi santri Pondok Pesantren melalui pelatihan Achievement Motivation Training (AMT). Berdasarkan observasi awal, ditemukan bahwa motivasi berprestasi di kalangan santri masih rendah. Pelatihan AMT yang dikembangkan oleh McClelland pada tahun 1960, bertujuan untuk meningkatkan dorongan internal individu dalam mencapai kesuksesan. Program ini mencakup penetapan tujuan, penggunaan umpan balik, peningkatan tanggung jawab pribadi, dan rasa ingin tahu terhadap situasi baru. Selain membantu dalam keberhasilan belajar, AMT juga bermanfaat dalam menghadapi tantangan hidup dan mencapai cita-cita. Evaluasi efektivitas program dilakukan melalui pre-test dan post-test untuk mengukur dampak dari pelatihan ini. Hasilnya, Pelatihan AMT dapat mengurangi Boarding School Syndrome yang sering dialami oleh santri, dimana pada perlakuan ini dianalisis menggunakan N-Gain (0,58) dan efeketivitas sebesar 58,46% yang menunjukkan penurunan signifikan pada Boarding Schoole Syndrome yang dialami oleh santri.
Konseling Realitas dan Transformasi Perilaku Salah Suai Remaja Raidila, Aulia Syahrani; Nazwa; Lesmana, Gusman
Jurnal Konseling Komprehensif: Kajian Teori dan Praktik Bimbingan dan Konseling Vol. 12, No. 1: Mei 2025
Publisher : diterbitkan oleh Program Studi Bimbingan dan Konseling FKIP Universitas Sriwijaya Jl. Palembang Prabumulih KM 3.2 Palembang-Indonesia Email: jkk@fkip.unsri.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jkk.v12i1.194

Abstract

This research aims to examine the contribution of reality counseling in overcoming the behavior of misfit individuals in adolescence. The focus of this study is to analyze the extent to which the reality counseling approach can assist adolescents in changing their behavior in a more positive and adaptive direction. This research uses a qualitative approach with a case study method. The results showed that reality counseling contributed to improving adolescents' self-awareness, emotion management, interpersonal skills, and responsibility for their actions. In addition, this approach helps adolescents build healthier social relationships, increase academic motivation, and develop the ability to overcome challenges independently. The relevance of reality counseling to the underlying theory is reflected in the application of the principles of behavior evaluation and concrete step planning through the WDEP framework. This process not only helps adolescents achieve short-term changes but also provides skills and mindsets that support their future development.
TANTANGAN BELAJAR MANDIRI KURIKULUM MERDEKA SDN KUIN CERUCUK 1 Akhmad Rafi'i; Diani Ayu Pratiwi; Romamarisa Putri Utami; Nazwa
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10 No. 02 Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.24392

Abstract

The implementation of the Merdeka Curriculum in elementary schools has brought positive impacts on learning approaches, one of which is the emphasis on independent learning. This study aims to identify the challenges faced by students in optimizing independent learning in the era of the Merdeka Curriculum. The research method used is descriptive, with data collected through interviews and documentation. The findings indicate that students face difficulties in learning independently. Factors such as social background, cognitive abilities, and the presence of students with special needs (SEN) influence the effectiveness of independent learning. SDN Kuin Cerucuk 1 has 22 students with special needs who are supported by five specialized teachers. This assistance is a positive step in ensuring they continue to receive equal access to education. Regular students also face challenges, such as being reluctant to communicate their learning difficulties. Factors that can enhance the effectiveness of independent learning include the school’s efforts in providing guidance and the involvement of parents in the learning process. The lack of material review at home and minimal parental support also contribute to students’ slow understanding of lessons taught in class.
Predicting Air Pollution Using Simpson Integration Karmilah; Nazwa
International Journal of Technology and Modeling Vol. 2 No. 3 (2023)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v2i3.82

Abstract

Increasing air pollution, especially in urban areas, is a serious issue that has a negative impact on public health and the environment. Accurate prediction of air pollution levels is critical to supporting mitigation efforts and data-driven decision-making. This study aims to develop an air pollution prediction model using the Simpson Integration method, a numerical approach used to calculate integrals with a high degree of accuracy. The data used included concentrations of pollutants such as PM2.5, PM10, and NO2 taken from daily measurements for one year. This method utilizes an interpolation algorithm to model changes in pollutant concentrations as a function of time. Simpson integration is used to calculate the area under the daily pollutant curve that represents the accumulated exposure to air pollution. The results show that this method is able to provide accurate predictions with an average error rate of less than 5% compared to actual data. This model has advantages in computational efficiency over conventional methods such as simple linear regression analysis. These findings prove that Simpson Integration can be effectively applied in air quality prediction and provide important information for governments and the public. This system is expected to support the development of an air pollution early warning system to increase public awareness and help formulate more responsive environmental policies.
Kecerdasan AI Dalam Proses Pembelajaran Nazwa; Mutia, Aldila Vinka; Rosdiana, Irna Rosdiana; Firdaus, Muhammad Abdillah; Tohirun, Revandi; Kusumadinata, Ali Alamsyah
AGRINUS : Jurnal Agro Marin Nusantara Vol. 2 No. 1 (2025): AGRINUS: JURNAL AGRO MARIN NUSANTARA
Publisher : Yayasan Pengembangan Dan Pemberdayaan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62180/xybhs604

Abstract

Perkembangan kecerdasan buatan (Artificial Intelligence/AI) telah membawa perubahan signifikan dalam proses pembelajaran, termasuk di Indonesia. Pemanfaatan AI dalam pendidikan menawarkan berbagai manfaat, seperti efisiensi waktu, pembelajaran yang lebih personal, serta kemudahan dalam memahami materi. Namun, di sisi lain, penggunaan AI juga menimbulkan sejumlah kekhawatiran, seperti potensi ketergantungan, penurunan kreativitas, dan kemalasan berpikir. Penelitian ini bertujuan untuk mengetahui persepsi pelajar Indonesia terhadap penggunan AI dalam proses pembelajaran serta menganalisis faktor-faktor yang memengaruhi dukungan terhadap penerapan AI di bidang pendidikan. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei terhadap 100 responden yang mayoritas merupakan mahasiswa berusia 18–23 tahun. Data dianalisis menggunakan korelasi dan analisis jalur (path analysis) untuk melihat hubungan antara variabel persepsi positif dan negatif AI terhadap dukungan penggunaan AI. Hasil penelitian menunjukkan bahwa sebagian besar responden memiliki persepsi positif terhadap AI, khususnya dalam membantu belajar dan menghemat waktu. Namun demikian, kekhawatiran terhadap dampak negatif AI terbukti memiliki pengaruh negatif terhadap dukungan penggunaan AI. Penelitian ini diharapkan dapat menjadi acuan dalam merumuskan strategi pemanfaatan AI secara bijak dan efektif dalam dunia pendidikan Indonesia.
Kuliah Kerja Nyata sebagai Media Dialektika Pengetahuan dan Praktik Sosial dalam Pemberdayaan Desa Nazwa; Ridwan Syahputra
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 04 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i04.1911

Abstract

Kuliah Kerja Nyata (KKN) merupakan kegiatan akademik yang berfungsi sebagai sarana penerapan ilmu sekaligus penguatan kapasitas sosial mahasiswa di masyarakat. Kegiatan ini memiliki potensi strategis dalam membangun dialektika antara pengetahuan teoritis dan praktik sosial melalui proses pemberdayaan masyarakat desa. Penelitian ini bertujuan untuk menganalisis peran KKN sebagai media dialektika pengetahuan dan praktik sosial dalam mendukung pembangunan berbasis pemberdayaan. Metode penelitian menggunakan pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui observasi lapangan, wawancara, dan dokumentasi kegiatan KKN di beberapa desa. Hasil penelitian menunjukkan bahwa KKN merupakan ruang transformasi sosial dan intelektual, di mana mahasiswa berperan sebagai agen perubahan yang memfasilitasi transfer ilmu kepada masyarakat. Proses interaksi menghasilkan peningkatan kapasitas lokal, kemandirian, dan kesadaran kritis terhadap potensi desa. Dengan demikian, KKN berfungsi tidak hanya sebagai kegiatan pengabdian, tetapi juga sebagai media pembelajaran reflektif yang mengintegrasikan pengetahuan akademik dengan praktik sosial secara berkelanjutan.
COMPARISON OF OVERSAMPLING, UNDERSAMPLING, AND SMOTE TECHNIQUES FOR MULTICLASS BALANCE DATA HANDLING IN RANDOM FOREST AND MULTINOMIAL LOGISTIC REGRESSION Fadjryani; Asfar; Nazwa; Tokandari, Allin Floria; Lestari, Tri Andayani; Ghani, Muhammad Azi Zarir
Jurnal Statistika dan Aplikasinya Vol. 9 No. 2 (2025): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.09207

Abstract

Class imbalances in multiclass classifications are an important challenge in applied machine learning, particularly in the medical field such as predicting how patients will exit. Although various studies have demonstrated the effectiveness of resampling techniques, the best combination of classification algorithms and balancing methods for highly unbalanced multiclass hospital data is still rarely studied. This study aims to compare the performance of Random Forest (RF) and Multinomial Logistic Regression (MLR) algorithms in dealing with class imbalances using three resampling techniques: Random Oversampling (ROS), Random Undersampling (RUS), and Synthetic Minority Oversampling Technique (SMOTE). The dataset used included 1,032 inpatients with Non-Insulin-Dependent Diabetes Mellitus (NIDDM) at Undata Hospital, Central Sulawesi, for the period January 2021 to December 2023. Data pre-processing includes coding, normalization, and data sharing by stratified sampling (80:20). Feature selection was conducted using Recursive Feature Elimination (RFE), and model evaluation was conducted with 5-fold cross-validation using accuracy, recall, F1-score, and MCC metrics. The results showed that the combination of RF and ROS provided the best performance with an accuracy of 93.65%, F1-macro of 0.935, and a balanced accuracy of 0.95. This combination has been shown to be able to recognize minority classes well without sacrificing overall accuracy. In contrast, the MLR model shows the lowest performance, especially when using RUSs that cause the loss of important data. Although SMOTE is showing competitive results, it remains below ROS in this context. This study was limited to structured clinical data and only compared two types of classification models. In the future, deep learning-based approaches or advanced ensembles can be explored. The novelty of this study lies in the thorough evaluation of the combination of balancing techniques and classical classification algorithms for medical predictions with extremely unbalanced multiclass data.
Etika Humor dalam Ruang Publik: Mengapa Kita Tidak Boleh Menormalisasi Candaan kebencian Ester Melisa; Syarah Febrina; Chelisie Adila Putri; Nazwa
ARIMA : Jurnal Sosial Dan Humaniora Vol. 3 No. 3 (2026): Februari
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/arima.v3i3.6855

Abstract

Humor merupakan instrumen komunikasi sosial yang kuat, namun batas antara komedi dan penghinaan sering kali menjadi kabur dalam praktik sehari-hari. Artikel ini mengeksplorasi fenomena normalisasi candaan kebencian ( perkataan kebencian yang disamarkan sebagai humor ) di masyarakat. Menggunakan pendekatan kualitatif-deskriptif, artikel ini menganalisis dampak psikologis dan sosiologis dari humor yang mempengaruhi kelompok tertentu. Hasil pembahasan menunjukkan bahwa normalisasi candaan kebencian berkontribusi pada desensitisasi moral dan memperkuat stigma sosial. Kesimpulan utama menekankan bahwa humor yang sehat harus menjunjung tinggi martabat manusia tanpa harus mengorbankan integritas pihak lain.
IMPLEMENTASI SISTEM SURVEILANS KESEHATAN DI PUSKESMAS Dinda Rizky Fadillah; Fanya Aullrelya Putry; Fidelma Felicia Br Sitepu; Nazwa; Rezky Khabiza Syahdu; Rizky Aditya Hutomo
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 3 No. 3 (2026): Februari
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v3i3.6828

Abstract

Health surveillance is an essential activity within the healthcare service system to monitor disease occurrences and to serve as a basis for health program decision-making. This study aims to describe the implementation of health surveillance at a community health center (puskesmas) using an interview-based approach. The research employed a descriptive qualitative method, with data collected through in-depth interviews with surveillance officers. The findings indicate that health surveillance activities have been conducted routinely and are integrated with the Ministry of Health information system; however, several challenges remain, particularly related to limited human resources and delays in reporting from service networks. Surveillance data are utilized as a basis for the formulation of disease control programs, thereby playing an important role in health intervention planning. The study concludes that the surveillance system has been implemented fairly well, but further strengthening is needed in terms of human resources and coordination with service networks.
Co-Authors Akhmad Rafi'i Ali Alamsyah Kusumadinata Asfar Chelisie Adila Putri Diani Ayu Pratiwi Dinda Rizky Fadillah Erik Ester Melisa Fadjryani, Fadjryani Fanya Aullrelya Putry Fidelma Felicia Br Sitepu Firdaus, Muhammad Abdillah Ghani, Muhammad Azi Zarir Karmilah Lesmana, Gusman Lestari, Tri Andayani Lupi Yudhaningrum Maulin Mutia, Aldila Vinka Novitasari R. Damanik Pradna Raidila, Aulia Syahrani Rezky Khabiza Syahdu Ridwan Syahputra Rizky Aditya Hutomo Romamarisa Putri Utami Rosalinda, Irma Rosdiana, Irna Rosdiana Syarah Febrina Tohirun, Revandi Tokandari, Allin Floria Yufiarti