Abstract, The research was conducted to determine: 1. To determine the effect of Auditor Integrity partially on the Quality of Audit Results at the Inspectorate Office of Gorontalo Regency. 2. To determine the effect of Auditor Independence partially on the Quality of Audit Results at the Inspectorate Office of Gorontalo Regency. 3. To determine the effect of Auditor Ethics partially on the Quality of Audit Results at the Inspectorate Office of Gorontalo Regency, 4. To determine the effect of Auditor Integrity, Auditor Independence, Auditor Ethics simultaneously on the Quality of Audit Results at the Inspectorate Office of Gorontalo Regency. The subjects of this study were auditors working at the Inspectorate Office of Gorontalo Regency. The data collection method in this study used a questionnaire. This test was carried out using SPSS 21 and using the Method of Successive Interval (MSI). The data analysis techniques used to test the hypothesis were simple regression analysis and multiple regression analysis. Based on the results of the study, it can be concluded that the variables of Integrity, Independence, and Auditor Ethics have a positive and significant influence on the quality of Internal Audit at the Inspectorate Office of Gorontalo Regency, both partially and simultaneously.

This study investigates enhancing multi-label hate speech and abusive language detection on Indonesian Twitter using Recurrent Neural Networks (RNNs) with hyperparameter tuning. A dataset of Indonesian tweets labeled for various hate speech and abusive language categories was preprocessed through text cleaning, tokenization, and sequence padding. A baseline RNN model was initially constructed and evaluated. Hyperparameter tuning was then performed using Keras Tuner to optimize performance. The best hyperparameters identified were an embedding dimension of 32, 32 LSTM units, and a dropout rate of 0.2. The tuned model was trained and compared with the baseline. Results indicated improved precision for labels like Abusive, HS_Group, HS_Moderate, and HS_Strong, but a decline in recall and F1-scores for labels like HS_Religion and HS_Race. Overall performance metrics showed a slight decline, highlighting trade-offs in the tuning process. In conclusion, while hyperparameter tuning can enhance certain performance aspects, it also introduces complexities and trade-offs. It is recommended to use hyperparameter tuning in model optimization with careful consideration of application requirements. Further research will explore different model architectures and additional tuning strategies for better overall performance.

Automatic detection of hate speech and abusive language is crucial for combating online toxicity. This study explores Gaussian Naive Bayes for multi-label classification of hate speech on Indonesian Twitter, including target, category, and level. We combined TF-IDF features with contextual BERT embeddings. The model achieved balanced performance for general hate speech and good non-abusive language detection. However, it exhibited limitations with imbalanced data and specific hate speech types. The classifier consistently favored the majority class (non-hateful/non-abusive) across labels, particularly struggling with HS_Gender, HS_Physical, etc. This suggests difficulty detecting less frequent but potentially severe hate speech, likely due to limited training data. Overall accuracy and F1-scores confirm that while Gaussian Naive Bayes is efficient, it lacks robustness for nuanced multi-label classification with imbalanced datasets. This necessitates exploring alternative approaches for effectively detecting specific and less frequent hate speech.

Penelitian ini bertujuan untuk mengimplementasikan algoritma Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) sebagai Pendukung Keputusan dalam memilih penerima Bantuan Tunai Langsung di Desa Ilomangga, Gorontalo. Dengan dataset sebanyak 169 calon penerima, penelitian ini berfokus pada pengembangan pendekatan yang efisien untuk membantu kepala desa dalam proses pemilihan penerima manfaat. Dengan menggabungkan optimisasi multi-obyektif dan analisis rasio, algoritma MOORA secara objektif mengevaluasi dan mengurutkan penerima berdasarkan kelayakan dan kesesuaian. Temuan penelitian ini menunjukkan efektivitas MOORA dalam menyederhanakan proses seleksi, memastikan transparansi, dan mengoptimalkan alokasi sumber daya bagi mereka yang paling membutuhkan. Penelitian ini memberikan kontribusi pada sistem pendukung keputusan dengan memperlihatkan implementasi praktis MOORA.

AbstrakPemantauan kesejahteraan janin merupakan bagian penting dalam penatalaksanaan kehamilan danpersalinan, oleh karenya perlu dilakukan pemeriksaan ibu hamil dan janin secara teratur, berupapemeriksaan BB ibu, tekanan darah ibu, tinggi fundus uteri ibu, denyut jantung janin dan pergerakan janindalam rahim. Hal ini untuk mencegah kematian janin, meskipun kematian janin tidak selalu pada kelompokibu hamil dengan risiko tinggi, akan tetapi beberapa kematian dapat terjadi pada kehamilan dengan risikorendah bahkan normal. Salah satu cara untuk membantu permasalahan ibu hamil khususnya ibu hamildengan usia kehamilan lebih dari 28 minggu dalam pemantauan gerak janin harian adalah denganmemberikan pengetahuan terkait pemantauan gerak janin harian sebagai upaya meningkatkankesejahteraan janin dan pendampingan dalam pemantauan gerak janin harian yang difasiitasi oleh tenagakesehatan. Hasil dari penyuluhan dan pendampingan nilai rata-rata pengetahuan ibu juga mengalamipeningkatan dari 66,32 (pre-test) meningkat menjadi 90,42 (post-test). 80% (35 ibu ) melakukanpemantauan pergerakan janin secara rutin selama 5 hari dan sebanyak 20% (9 ibu) tidak melakukanpemantauan secara rutin selama 5 hari. Rata – rata waktu yang dibutuhkan ibu untuk merasakan 10 kaligerakan janin adalah 8 jam. Pemberian edukasi tentang cara pemantauan pergerakan janin harian secaraluas diharapkan meningkatkan kemampuan ibu untuk mengetahui kondisi janin yang dikandungnya,.
AbstractMonitoring the well-being of the fetus is an important part of managing pregnancy and childbirth,so it is necessary to carry out regular examinations of pregnant women and the fetus. These checks includechecking the mother's weight, blood pressure, uterine fundal height, fetal heart rate and fetal movement inthe uterus. All these are to prevent fetal death, although fetal death does not always occur in groups ofhigh-risk pregnant women. Some deaths can actually occur in low-risk and even normal pregnancy groups.One way to solve the problems of pregnant women, especially pregnant women with a gestational age ofmore than 28 weeks in monitoring daily fetal movements, is to provide knowledge related to monitoringdaily fetal movements as an effort to improve fetal well-being, and provide assistance in monitoring dailyfetal movements which is facilitated by health personnels. Results of counseling and mentoring activitiesshow that the average value of the mothers' knowledge has increased from 66.32 (pre-test) to 90.42 (posttest).80% (35 mothers) monitored fetal movements routinely for 5 days and 20% (9 mothers) did notmonitor routinely for 5 days. The average time it takes for a mother to feel 10 fetal movements is 8 hours.Providing education on how to widely monitor daily fetal movements is expected to increase the mothers’ability to know the condition of the fetus they are carrying.

Penerapan metode menyenangkan dalam pembelajaran SKI di MIN 12 Kota Medan berpengaruh besar terhadap hasil belajar siswa, serta mampu menumbuhkan rasa semangat dalam belajar. Penelitian ini bertujuan untuk menerapkan metode pembelajaran yang kreatif dan inovatif yang dapat menciptakan suasana belajar yang menyenangkan. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif analitis. Adapun hasil penelitian: (1) Sebelum memulai pembelajaran guru harus menumbuhkan minat belajar siswa dengan cara bercerita. (2) Melibatkan siswa untuk mengalami langsung materi yang dipelajari. (3) Memperkenalkan siswa dalam penamaan materi yang berkaitan dengan pengalamannya dengan suatu rumusan teori ilmiah, (4) Memberikan kesempatan kepada siswa untuk menerapkan segala hal baru disertai bukti-bukti. (5) Memberikan kesempatan kepada siswa untuk menjelaskan kembali materi yang telah disampaikan di depan kelas. (6) Memberikan penghargaan atau pujian kepada siswa yang antusias saat pembelajaran berlangsung.