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All Journal Jurnal Kreatif Tadulako Online Edumaspul: Jurnal Pendidikan STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE Jurnal Ekonomi Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Erlita, Erlita
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Public Health Other

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Penggunaan Keterampilan Proses Sains dalam Pembelajaran IPA di SD Meningkatkan Kualitas dan Hasil Belajar Erlita, Erlita; Kamaluddin, Kamaluddin
Jurnal Kreatif Online Vol 7, No 4 (2019): Jurnal Kreatif Online
Publisher : Jurnal Kreatif Online

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Abstract

rendahnya pemahaman konsep, bahkan dapat menyebabkan terjadinya kesalahan konsep. Keadaan seperti ini telah terjadi di kelas IV SDN 15 Palu. Beberapa contoh pemahaman konsep IPA yang salah: (1) Masih sejumlah siswa yang belum mampu menginterfretasi benda-benda yang ditarik oleh magnet, dengan menganggap bahwa semua jenis logam ditarik oleh magnet; (2) kertas karton tidak dapat ditarik oleh magnet sehingga tidak dapat ditembus oleh gaya magnet; (3) demikian halnya kurangnya kemampuan siswa dalam hal memprediksi nyala lampu dalam suatu rangkaian listrik sederhana misalnya: nyala lampu yang dekat dengan kutub positif baterai lebih terang dari nyala lampu yang berjauhan dengan kutub positif, bahkan ada siswa yang menjawab bahwa lampu didekat kutub negatif tidak menyala. Untuk mengatasi masalah tersebut dilakukan penelitian tindakan kelas yang menggunakan keterampilan proses sains dalam pembelajaran. Penelitian dilaksanakan pada siswa kelas IV SDN 15 Palu dalam dua siklus, setiap siklus terdiri dari beberapa tahap. Hasil penelitian menunjukkan bahwa kualitas pembelajaran dengan menggunakan keterampilan proses sains sangat baik. Hal ini dapat dilihat dari tingginya aktivitas siswa berdasarkan penilaian sikap dan psikomotor selama proses pembelajaran, baik pada siklus I maupun pada siklus II. Dilihat dari kuantitas menunjukkan hasil belajar yang sangat bagus, diperoleh ketuntasan klassikal 83% pada siklus I, dan 78% pada siklus II.
PENGARUH NILAI PERUSAHAAN, DEBT TO EQUITY RATIO DAN DIVIDEND PAYOUT RATIO TERHADAP PERATAAN LABA PADA PERUSAHAAN PERBANKAN YANG TERCATAT DI BURSA EFEK INDONESIA PERIODE 2015-2017 Kevin, Kevin; Jesselyn, Gloria Iverose; Jessicca, Jessicca; Erlita, Erlita; Waruwu, Lilis Risna; Sitorus, Friska Darnawaty
Aksara Public Vol 3 No 2 (2019): Mei (2019)
Publisher : EDUTECH CONSULTANT

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Abstract

This study aims to test and analyze company value, debt to equity ratio and DPR (Dividend Payout Ratio) simultaneously to income smoothing in banking companies listed on the Indonesia Stock Exchange for the 2015-2017 period. The data collection method used is the documentation method. This type of research uses a quantitative approach, based on positivism philosophy and the nature of deductive research. The population in this study were 43 banking companies. The technique used in sampling is purposive sampling, so the sample is 14 companies. Data is analyzed by using multiple linear regression analysis models, determination coefficients, F test, and T test to get a good regression model. The results of the simultaneous and partial hypothesis research show that company value, debt to equity ratio and DPR (Dividend Payout Ratio) have no effect on income smoothing in banking companies listed on the Indonesia Stock Exchange for the 2015-2017 period with significant values> 0.05. The results of the coefficient of determination analysis obtained an adjusted R Square value of -0.034, meaning that the variable value of the company, debt to equity ratio and the House of Representatives (Dividend Payout Ratio) cannot explain the effect on earnings changes. The conclusion from the results of this study is that the value of the company, DER and DPR cannot be used as a predictor of earnings changes.
The Impact of Educational Technology Advancements on Efficiency and Professional Teacher Training in Sidrap Regency T, Syamsu; Sabri, Muhammad; Erlita, Erlita; Hermansyah, Sam; Mohamed, Dr.S.H.Sheik
Edumaspul: Jurnal Pendidikan Vol 8 No 2 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i2.8658

Abstract

This study examines the impact of educational technology advancements on the efficiency and effectiveness of professional teacher training programs in Sidrap Regency. The integration of technology in education has created opportunities for flexible, accessible, and innovative learning, particularly in improving teacher competencies. Through the use of online platforms, digital tools, and multimedia resources, educational technology supports teachers in enhancing their skills and pedagogical approaches.Using a qualitative descriptive approach, data were collected through interviews, observations, and document analysis with teachers and training coordinators. The findings indicate that while educational technology improves efficiency by offering flexible learning and collaborative opportunities, challenges persist, such as limited digital literacy, insufficient infrastructure, and inconsistent internet access in rural areas. Despite these barriers, teachers recognize the benefits of technology in making professional training more effective and engaging. The study concludes that targeted interventions, including digital literacy training, infrastructure improvements, and increased support for technology adoption, are necessary to maximize the impact of educational technology. These findings provide valuable insights for policymakers and educational institutions to enhance teacher training programs, ensuring they meet the demands of modern education systems.
Penerapan Algoritma C4.5 dan Random Forest untuk Pemetaan Kerusakan Jalan dengan WebGIS Justam, Justam; Jamilah, Nur; Umar, Sitti Mawaddah; Erlita, Erlita; Ramba, Jousadrah
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 2 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i2.270

Abstract

Kerusakan jalan di wilayah Luwu Raya menjadi tanggung jawab BBPJN VI Makassar, yang melakukan pemantauan kondisi jalan dan melaporkan hasilnya untuk tindakan perbaikan. Penelitian ini bertujuan untuk membandingkan algoritma C4.5 dan Random Forest dalam memprediksi prioritas perbaikan jalan dan persebaran kerusakan jalan. Data yang digunakan dalam penelitian ini adalah 6100 data kerusakan jalan pada tiga ruas jalan dari tahun 2021 hingga 2023. Hasil penelitian menunjukkan bahwa meskipun akurasi antara kedua algoritma hampir sama, algoritma Random Forest memberikan hasil yang lebih konsisten dan lebih baik dibandingkan C4.5. Dengan menggunakan algoritma C4.5, didapatkan nilai presisi sebesar 87,9%, recall 82,6%, f1-score 87,8%, dan akurasi 88%. Sementara itu, Random Forest menghasilkan presisi 86,6%, recall 86,8%, f1-score 86,6%, dan akurasi 87%. Penelitian ini menghasilkan sistem informasi pemetaan berbasis WebGIS yang digunakan untuk menentukan prioritas perbaikan jalan. Hasil penelitian ini menunjukkan bahwa Random Forest lebih efektif dalam memprediksi dan menentukan prioritas perbaikan jalan di wilayah Luwu Raya
Sistem Identifikasi Kesegaran Ikan Berbasis Android Menggunakan Convolutional Neural Network (CNN) Justam, Justam; Takbir, Muh. Nashir; Umar, Sitti Mawaddah; Erlita, Erlita; Lewa, Revah Oktria
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 2 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i2.271

Abstract

Ikan merupakan sumber protein hewani penting dengan kandungan vitamin dan mineral esensial yang tinggi. Sebagai negara kepulauan, Indonesia memiliki potensi perikanan yang besar, namun masih banyak masyarakat yang kesulitan membedakan ikan segar dan tidak segar. Penelitian ini mengembangkan sistem berbasis Android untuk mengidentifikasi kesegaran ikan menggunakan Convolutional Neural Network (CNN). Model dilatih dengan 540 sampel gambar dalam tiga kategori (segar, baik, dan tidak layak) dengan resolusi 256 × 256 piksel RGB. CNN yang digunakan terdiri dari tiga lapisan konvolusi dan dua fully connected layer, dengan optimizer Adam dan fungsi aktivasi ReLU serta Softmax. Model dilatih di Google Colaboratory, lalu dikonversi ke TensorFlow Lite untuk diterapkan pada Android. Hasil pengujian menunjukkan akurasi 98% pada data uji dan 96,67% pada aplikasi Android dengan 60 sampel baru, membuktikan sistem mampu berfungsi dengan baik dalam mengidentifikasi kesegaran ikan
Perbandingan Kinerja YOLO vs Faster R-CNN untuk Deteksi & Estimasi Berat Ikan Justam, Justam; Malik, Abdul; Erlita, Erlita; Mangellak, Deo; Yuyun, Yuyun
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 2 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i2.273

Abstract

Ikan kerapu dan ikan kakap memiliki nilai ekonomi tinggi di pasar global, sehingga identifikasi jenis dan estimasi beratnya menjadi aspek penting dalam perdagangan. Metode manual yang umum digunakan memerlukan waktu lama dan tenaga kerja besar. Oleh karena itu, penelitian ini membandingkan performa dua model deep learning, yaitu YOLO dan Faster R-CNN, dalam mendeteksi jenis dan mengestimasi berat ikan. Dataset terdiri dari 2.991 citra yang terbagi dalam 18 kelas dan diperluas melalui augmentasi menjadi 6.843 citra. Proses deteksi menggunakan detection threshold 0,8, dengan evaluasi berdasarkan precision, recall, accuracy, serta Mean Absolute Percentage Error (MAPE) untuk estimasi berat. Hasil menunjukkan bahwa model YOLO memiliki precision, recall, dan accuracy masing-masing sebesar 0,98, 0,98, dan 0,96, sedangkan Faster R-CNN mencapai 0,97, 0,98, dan 0,95. Untuk estimasi berat, MAPE YOLO pada citra sebesar 2,42% dan pada video 3,66%, sementara Faster R-CNN memiliki MAPE 14,62% pada citra dan 13,59% pada video. Dengan demikian, model YOLO menunjukkan kinerja lebih baik dibandingkan Faster R-CNN dalam mendeteksi jenis dan mengestimasi berat ikan
The Effectiveness of the Teams Games Tournament (TGT) Cooperative Learning Model in Enhancing Pancasila Education Learning Motivation Among Eleventh Grade Students at SMK Negeri 5 Sidrap Mahyiyuddin, Abiyyu Arib; Pacinnongi, Anis; Huser, Huser; Erlita, Erlita
Edumaspul: Jurnal Pendidikan Vol 9 No 1 (2025): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i1.8838

Abstract

Learning motivation is a key factor in educational success, particularly in Pancasila Education, which aims to develop moral character, critical thinking skills, and social responsibility among students. However, many students face difficulties in understanding and actively participating in Pancasila Education, as evidenced by low learning motivation. This study aims to explore the effectiveness of the Teams Games Tournament (TGT) cooperative learning model in enhancing the learning motivation of eleventh-grade students at SMK Negeri 5 Sidrap. The research method used is Classroom Action Research (CAR) with a one-group pre-test and post-test design. Data was collected from 25 students through observation and a learning motivation test, which were then analyzed using the Wilcoxon test. The results show that the implementation of the TGT model significantly increased students' learning motivation, with a z-value of -4.392 and a significance value of 0.000. This study confirms that the TGT model creates a more engaging, interactive, and collaborative learning environment, which boosts students' motivation and involvement in Pancasila Education. The implication of this study is that this model can serve as an alternative, effective learning strategy to enhance learning motivation among vocational school students. Keywords: Learning Motivation, Cooperative Learning, Teams Games Tournament, Pancasila Education
Advanced Education Based on Effective Learning Book Guide Motivative to Improve Ability to Write Short Storie Erlita, Erlita; Hermansyah, Sam; Roni, Roni
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

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Abstract

This research focused on entrepreneurship education-based learning within motivation guidebook. The purpose of the research was to determine the effectiveness of the entrepreneurship education-based learning within motivation guidebook on students ' short stories writing skills. This research was a quantitative type of research. It was conducted to students of grade XI in SMA Negeri 6 Sidrap. Data collection method was a short stories writing test. Data analysis was conducted by t-test formula to determine whether there was an improvement before and after the treatment. The results of the research indicated that value of t count was 6.62 and on 5% significance, n = 30, t table = 1.68. The t count was higher than t table , meaning that Ha was acceptable. Thus, the learning of entrepreneurship education-based short story writing within motivation guidebook was effective to develop short story writing skills.
Implementation Of Monokrom Cafe Marketing Strategies On Social Media Instagram And Facebook Faruk, Khofifah; Erlita, Erlita
Jurnal Ekonomi Vol. 13 No. 02 (2024): Jurnal Ekonomi, Edition April - June 2024
Publisher : SEAN Institute

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Abstract

This research aims to determine the implementation of the Monochrome Cafe marketing strategy on social media Instagram and Facebook. This research applies qualitative methods with a descriptive approach. From this research it was found that due to the limited ability of business people to evaluate the effectiveness of implementing media marketing on Instagram and Facebook, the proposed strategy includes implementing appropriate analytical tools and metrics to track and evaluate social media marketing performance. With this approach, businesses can better understand the effectiveness of marketing strategies and make necessary adjustments to improve results. In this way, Monokrom Cafe can continue to develop and strengthen its position as an attractive culinary destination in the city of Ampana.
Co-Authors Abdul Malik Faruk, Khofifah Huser, Huser Jamilah, Nur Jesselyn, Gloria Iverose Jessicca, Jessicca Justam, Justam Kamaluddin Kamaluddin Kevin kevin Lewa, Revah Oktria Mahyiyuddin, Abiyyu Arib Mangellak, Deo Mohamed, Dr.S.H.Sheik Muhammad Sabri Pacinnongi, Anis Ramba, Jousadrah Roni, Roni Sam Hermansyah Sitorus, Friska Darnawaty Sitti Mawaddah Umar T, Syamsu Takbir, Muh. Nashir Waruwu, Lilis Risna Yuyun, Yuyun