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Responsive Feeding Management of Mothers with Picky Eater Incidents in Children Aged 1 Year To 3 Years Sunanto, Sunanto; Handayani, Erna; Imran, Suryadi
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1508

Abstract

Responsive Bolstering is the capacity of moms to effectively give nourishment in which there's an demeanor in nourishing agreeing to the age of the child, can empower children to eat without constraint, can give a safe environment within the process of children learning to eat conjointly how to utilize positive intelligent when children eat. The estimation of picky eaters was carried out utilizing the Child Eating Conduct Survey (CEBQ) which was received from the children's eating behavior survey. The reason of the consider was to decide the relationship between maternal responsive bolstering and the rate of picky eaters in children matured 1 year to 3 a long time in Sentul Probolinggo Town. The comes about of the ponder conducted on 35 respondents gotten the most noteworthy esteem of Responsive Nourishing Mother, to be specific 21 respondents (60%) with the category of Continuously and the comes about of picky eating given to children gotten the most noteworthy esteem, specifically 22 respondents (62.9%) with the category of bolstering more than 1 x a day Information investigation utilizing the spearman correlation test appeared that there was a relationship Responsive Nourishing of Moms with Picky Eater Rate in children matured 1 to 3 a long time in Sentul Probo Departement of Nursing, linggo town with a P esteem of 0.000 < 0.05, at that point Ha is acknowledged. Children's eating propensities can be affected by the part of guardians or caregivers with children through child rearing in bolstering.
OPTIMASI PENGATURAN STEAM UAP MENGGUNAKAN ALGORITMA GREEDY UNTUK MENDUKUNG PROSES PEREBUSAN KELAPA SAWIT Sunanto, Sunanto; Faural Abadi
Journal of Software Engineering and Information System (SEIS) Vol. 1 No. 1 (2021)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (535.89 KB) | DOI: 10.37859/seis.v1i1.2815

Abstract

The sterilizer station is the core station in the processing of palm fruit. Where in the process of boiling oil palm fresh fruit bunches must be in the applicable boiling standard. In order to obtain high yields. To optimize the work of the boiling station, especially in horizontal boiling vessels to avoid trouble or problems that arise during boiling, an automation system is made that can regulate the amount ofsteam pressure that enters the boiling vessel with a predetermined time so that it can adjust the inlet valve, condensate valve, exhaust valve. Where this automation system utilizes the greedy algorithm method. And in this research, the implementation, testing and results of the automation system will be carried out, on a prototype that utilizes the NodeMCU microcontroller (esp32),the Web Thinger IO, and the pressure sensor.
Pembelajaran Gerak Lokomotor Sebagai Upaya Mengembangkan Motorik Kasar Anak Down Syndrome SD Inklusif Galuh Hadayani Surabaya maharani, krisnina; sunanto, Sunanto; Ibrahim, Muslimin; Lutfauziah, Asmaul
Sentra Cendekia Vol 5 No 3 (2024): Oktober
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/sencenivet.v5i3.3342

Abstract

Latar belakang Salah satu pendekatan yang efektif adalah dengan fokus pada pembelajaran gerak lokomotor. Melalui pendidikan jasmani, siswa dengan Down syndrome dapat memperoleh manfaat dari aktivitas fisik yang sesuai dan terstruktur, yang membantu meningkatkan koordinasi, kekuatan, dan kemampuan motorik kasar mereka.Tujuan Penelitian ini dilakukan untuk menganalisis kemampuan motorik kasar anak Down syndrome melalui pembelajaran gerak lokomotor.Metode penelitian yang digunakan adalah kualitatif deskriptif, dengan teknik pengumpulan data melalui observasi, wawancara dan dokumentasi. Penelitian ini difokuskan pada 3 siswa dengan Down syndrome di kelas 2 SD Galuh Handayani Surabaya.Hasil penelitian bahwa ketiga siswa menunjukkan antusiasme tinggi dan keterampilan yang baik dalam setiap gerakan yang diajarkan dalam kategori baik. Simpulan menunjukkan antusiasme tinggi dan keterampilan yang baik dalam setiap gerakan yang diajarkan dalam kategori baik.
PENINGKATAN KONDISI FISIK MELALUI PEMBELAJARAN SENAM PUTRI ANGGOTA UNIT KEGIATAN MAHASISWA AEROBIK UNIVERSITAS NADHLATUL ULAMA SURABAYA Sunanto, Sunanto; Mariati, Pance; Rusdiyanto, Nurholis
Konstruktivisme : Jurnal Pendidikan dan Pembelajaran Vol 11 No 2 (2019): Juli 2019
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/konstruk.v11i2.712

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This research aims at investigating the improvement of physical condition of members of Student Activity Unit (UKM) of women aerobic gym in Universitas Nahdhlatul Ulama Surabaya (UNUSA) through aerobic gym learning. This research adopted quantitative approach through descriptive method to describe physical condition of UKM members of women aerobic gym that included: endurance of heart muscle, arm muscle, and stomach muscle, and flexibility. Sample of this study engaged 20 students of women aerobic gym of UNUSA. Results revealed that90% of the students had very low heart muscle endurance. 80% of the students had low arm muscle endurance, whereas 20% of the students’ arm muscle endurance was very low. 65% of the students had adequate stomach muscle endurance, while 35% of the students had low stomach muscle endurance. 40% of the students had low flexibility, while 60% of the students had very low flexibility. Aerobic gym learning needs to be done gradually and well programmed by following frequency standard, intensity, and training tempo. To achieve a good physical condition, portion of physical training must suit the possessed skills.
Advanced tourist arrival forecasting: a synergistic approach using LSTM, Hilbert-Huang transform, and random forest Mukhtar, Harun; Remli, Muhammad Akmal; Mohamad, Mohd Saberi; Wan Salihin Wong, Khairul Nizar Syazwan; Ridhollah, Farhan; Deprizon, Deprizon; Soni, Soni; Lisman, Muhammad; Amran, Hasanatul Fu'adah; Sunanto, Sunanto; Ismanto, Edi
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp517-526

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An advanced synergistic approach for forecasting tourist arrivals is presented, integrating long short-term memory (LSTM), Hilbert-Huang transform (HHT), and random forest (RF). LSTM is leveraged for its capability to capture long-term dependencies in sequential data. Additional data from Google Trends (GT) is processed with HHT for feature extraction, followed by feature selection using the RF algorithm. The combined HHT-RF-LSTM model delivers highly accurate forecasts. Evaluation employs regression analysis with metrics such as root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean square error (MSE), highlighting the effectiveness of this innovative approach in predicting tourist arrivals. This methodology provides a robust framework for handling limited datasets and improving forecast reliability. By incorporating diverse data sources and advanced preprocessing techniques, the model enhances prediction performance, demonstrating the strong performance of RF in feature selection.
Sistem Informasi Medical Check Up Berbasis Web Pada Laboratorium Klinik Patra Medica Cilacap Saifudin, Saifudin; Sunanto, Sunanto; Imam Fadlilah, Nuzul; Dhian Pratiwi, Novita
Informatics and Computer Engineering Journal Vol 5 No 1 (2025): Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v5i1.7615

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Sistem informasi berbasis website saat ini dibutuhkan oleh berbagai bidang usaha salah satunya yang bergerak dibidang kesehatan seperti laboratorium klinik.Sistem informasi ini bermanfaat untuk menyebarkan informasi dan menarik minat masyarakat yang ingin melakukan cek kesehatan.Laboratorium Klinik Patra Medica Cilacap adalah suatu badan usaha dibidang kesehatan yang menyediakan pelayanan medical check up bagi masyarakat.Laboratorium Klinik Patra Medica Cilacap membutuhkan adanya suatu web yang dapat memberikan kemudahan bagi masyarakat yang ingin mengetahui informasi tentang Laboratorium Klinik Patra Medica Cilacap tanpa harus datang langsung ketempat. Dalam penelitian ini, menganalisis tentang bagaimana cara membangun sistem informasi medical check up berbasis web pada Laboratorium Klinik Patra Medica Cilacap dengan menggunakan metode waterfall. Website ini dibuat menggunakan PHP dan basis data MySQL. Tahapan yang dilakukan dalam pembuatan website ini dengan mengumpulkan data, menganalisis kebutuhan, membuat rancangan antar muka, basis data dirancang dengan ERD dan LRS, file spesifikasi dan implementasi, kemudian diuji dengan pengujian blackbox. Website yang telah dihosting, selanjutnya dapat diakses oleh masyarakat luas supaya lebih mengenal dan mengetahui informasi lengkap dari Laboratorium Klinik Patra Medica Cilacap
Kesejahteraan Usaha Kecil Menengah melalui Promosi Jejaring Sosial Media E-Commerce Desa Sindanglaut Kecamatan Carita Kabupaten Pandeglang Banten Ningsih, Dewi; Capriat, Zelin Ferdias; Sunanto, Sunanto
ABDIMAS Iqtishadia Vol. 1 No. 2 (2023): ABDIMAS Iqtishadia
Publisher : Prodi Ekonomi Syariah Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/iqtis.v1i2.37353

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Dalam era digital sekarang ini, pengguna internet untuk perdagangan yang semakin bertambah, sehingga mendorong munculnya bisnis baru sebagai start up bisnis. Semua bisnis tersebut bergerak dalam bidang perdagangan dan jasa yang memenuhi kebutuhan sehari-hari, mayoritas dari mereka bergerak di bidang online. Pemanfaatan perkembangan teknologi pada bidang pemasaran yang mengubah cara pengerjaan suatu pekerjaan dari cara konvensional mengarah kepada teknologi digital dengan memanfaatkan e-commerce. Namun karena keterbatasan latar belakang pendidikan dan pengetahuan yang dimiliki oleh sebagian penduduk, membuat para Usaha Kecil Menengah (UKM) ini mengalami kesulitan dalam memasarkan produk-produk hasil karya mereka. Pemasaran akan produk- produk hasil kerajinan tangan dan olahan kebun, selama ini hanya diperdagangkan melalui pasar tradisional atau dengan cara menitipkan ke warung-warung atau dengan promosi dari mulut ke mulut. Cara pemasaran yang konvensional ini membuat penghasilan mereka kurang meningkat, mengingat perkembangan teknologi saat ini makin berkembang. Tentu saja Usaha Kecil Menengah (UKM) ini akan tergerus oleh perkembangan zaman yang sudah menggunakan teknologi informasi. Melihat situasi seperti itu, maka kami mencoba untuk mengarahkan dalam membantu perekonomian Usaha Kecil Menengah (UKM) agar dapat meningkatkan penghasilan melalui pemanfaatan e- commerce sebagai solusi alternatif dalam melakukan inovasi pada strategi pemasaran dengan tujuan untuk menjaring potensi pasar yang lebih besar.
TRAFFIC FLOW DETECTION USING YOLOV4 AND DEEPSORT ON NVIDIA JETSON NANO Taufiq, Reny Medikawati; Syahril, Syahril; Rafdi, Faris Abi; Firdaus, Rahmad; Sunanto, Sunanto; Muarif, Putri Fadhilla
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 3 (2025): Juni 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i3.3871

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Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm. Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4  Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti  peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan. Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4
Manfaat Media Sosial Sebagai Alat Pemasaran bagi Pengusaha Muda di Desa Situgadung Kabupaten Tangerang Ningsih, Dewi; Sunanto, Sunanto; Capriat, Zelin Ferdias
Jurnal PKM Manajemen Bisnis Vol. 5 No. 2 (2025): Jurnal PKM Manajemen Bisnis
Publisher : Perhimpunan Sarjana Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/pkmb.v5i2.1584

Abstract

In today’s digital era, social media has become an essential tool for marketing, offering vast opportunities for young entrepreneurs to expand their businesses. However, many small business owners in rural areas still face challenges in effectively utilizing these platforms. This community service program aimed to empower young entrepreneurs in Situgadung Village, Tangerang Regency, by enhancing their knowledge and skills in social media marketing. The program took place in April 2025 at Situgadung Village and was facilitated by 12 lecturers from Universitas Pamulang. It involved 25 local MSME entrepreneurs as participants. The activities were carried out through a combination of lectures, practical simulations, interactive discussions, and question-and-answer sessions to maximize learning outcomes. Findings indicate that the participants improved their ability to use social media for promoting their products, engaging customers, and building their brand image. Many expressed greater confidence in managing digital marketing strategies and maintaining social media presence. This initiative contributed to raising awareness about modern marketing methods and is expected to support the growth and sustainability of the local businesses. Overall, the program demonstrates the critical role of social media as a marketing tool for young entrepreneurs in rural communities and offers a valuable framework for similar community empowerment efforts.
The Effectiveness of the Mind Mapping Model on Elementary School Students’ Learning Outcomes in Indonesian Language Subjects Ainia, Faridah Zahrotul; Mariati, Pance; Susanto, Rudi Umar; Sunanto, Sunanto
Edumaspul: Jurnal Pendidikan Vol 9 No 2 (2025): Edumaspul: Jurnal Pendidikan (In Press)
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i2.8997

Abstract

This study aims to determine the effectiveness of the Mind Mapping learning model on the learning outcomes of fourth-grade students at SDN 207 Gresik in the Indonesian language subject. The background of this research is the low student achievement in understanding reading materials, identifying main ideas, and connecting information within texts—primarily caused by the use of conventional, less engaging teaching methods. The Mind Mapping model was chosen because it is believed to help students visually and logically organize information, thereby enhancing conceptual understanding and critical thinking skills. This research employed an experimental method with a pretest-posttest control group design. The sample consisted of 30 randomly selected fourth-grade students. The instruments used included multiple-choice and essay tests as well as student perception questionnaires. The validity and reliability tests indicated that all instruments met the necessary standards. The t-test results showed a significant improvement in student learning outcomes after implementing the Mind Mapping model in the experimental class compared to the control class. In conclusion, the application of the Mind Mapping learning model is effective in improving student achievement in the Indonesian language subject and can serve as an innovative alternative teaching strategy in elementary education.
Co-Authors Afkar, Muh Tanwirul Ahmad MAULANA Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Nouvel - AMIK BSI Purwokerto Ainia, Faridah Zahrotul Akhwani Akhwani, Akhwani Albertus Sewianto Alfiyah, Zuraida Nisaul Almaniar, Siska Amran, Hasanatul Fu'adah Andini Hardiningrum Anggraini, Mirna Aprilian, Pingkan Aprini, Hidayah Arabiatul Adawiyah Arif Rahman Hakim Asep Sulaeman, Asep Asmarani, Ratih Asmaul Lutfauziah BERDA ASMARA Capriat, Zelin Ferdias Dede Kusmana Dedi Setiawan Deprizon, Deprizon Dewi Ningsih, Dewi Dhian Pratiwi, Novita Dukiyah, Dukiyah Edi Ismanto Eka Wardani, Aris Farisha Andi Baso, Farisha Andi Faural Abadi Ferry Sugara, Ferry Hady, Hamdy Handayani, Erna hanifah, iis Harun Mukhtar Hasibuan, Rahmawaty Hidayati, Tutik Huda, Muchamad Samsul Huda, Muchamad Samsul Huda, Samasul Izzatunnisa, Nazwa Karsid, Karsid Kasiyun, Suharmono Kusyairi, Achmad Leisthari, Fepi Lestari, Novianti Kamla Lestari, Noviyanti Kartika Dwi Lisman, Muhammad maharani, krisnina Manoefris Kasim Mariani Mariani Mariati, Pance Maryani, Ina Mashuri Mashuri Mauludiya, Melynda Mispani, Mispani Mohamad, Mohd Saberi Moyo, Kgomotso Muarif, Putri Fadhilla Muhammad Thamrin Muhammad Thamrin Hidayat Mukti, Fiqhri Nugroho Mulya, Yusha Tri Musarofah, Musarofah MUSLIMIN IBRAHIM Nafiah, Nafiah Nafolion Nur Rahmat, Nafolion Nur Najih, Arjun Napitupulu, Rizal Afif A. Nur Hamim Nurfita, Roro Nurismalatri, Nurismalatri Nuzul Imam Fadlilah Pannyiwi, Rahmat Praptiningtiyas, Ariska Purba, Horas V Purwati Purwati Rafdi, Faris Abi Rahmad Firdaus Rahmat, Rezqiqah Aulia Remli, Muhammad Akmal Ridhollah, Farhan Rofan Aziz Rohmah, Syifaur Rusdiyanto, Nurholis Rusnaeni, Nani Safariningsih, Ratna Tri Hari Saifudin Saifudin Saifudin Sari, Maftuhatul Ulumiyah Kumalasari Shabrina, Nina Sholihah, Nasihatus Soni Sri Hartatik Suciati Suciati Suharmanto, Ardelia Suryadi Imran, Suryadi Susanto, Rudi Umar Syahril Syahril Syamsul Ghufron Taufiq, Reny Medikawati Tika Handayani Tutik Ekasari Wan Salihin Wong, Khairul Nizar Syazwan Wardika, Wardika Wicaksono, Dedi Yogasnumurti, Raras Risia Zahro, Ma’rifatul Lailatus