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Automatic Fish Feeding and Temperature Control System for Aquariums Based on Internet of Things (IoT) Widyati, Made Ayu Sri; Anshori, Yusuf; Lamasitudju, Chairunnisa Ar.; Laila, Rahmah; Joefrie, Yuri Yudhaswana
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8847

Abstract

Keeping fish in aquariums has become one of the people's hobbies. An important factor in fish maintenance is the process of feeding and controlling the temperature of the aquarium. However, with various activities, fish care is often not carried out properly. This study develops an automatic system for feeding and controlling the temperature of the aquarium with goldfish as the test object. This study designs an automatic system to control the temperature and feeding in the aquarium using hardware such as a DS18B20 temperature sensor, load cell, and ultrasonic sensor. This system is controlled by ESP32 for reading sensor data and Arduino Uno for controlling the relay, cooling system, heater, and servo motor. ESP32 reads sensor data and sends it via MQTT to Node-red. Based on this data, the system regulates the temperature by activating the cooler (peltier and water pump) if the temperature is >28℃ and turning off the cooler when the temperature is <26℃. The heater is active if the temperature is <24℃ and stops when the temperature reaches 26℃. Feeding is carried out according to schedule, with servo 1 dropping feed into the load cell until the weight reaches the target weight. After that, servo 2 moves the feed into the aquarium. If the weight has not reached the target, servo 1 continues to be active. Based on the test, the average percentage of error in the temperature sensor is 0,08%, the weight sensor is 1.10%, and the ultrasonic sensor is 1.61%. This system successfully performs four times a day feeding and controls the temperature within the optimal range for goldfish, which is 24-28℃. The test results show that this system functions well and is in accordance with the research objectives.
Strategi Efektif dalam Manajemen Kelas untuk Meningkatkan Keterlibatan Siswa Rahayu, Sri; Sudharsono, Muhamad; Damayanti, Sherli; Rahmah, Laila
NUSRA : Jurnal Penelitian dan Ilmu Pendidikan Vol. 5 No. 3 (2024): NUSRA: Jurnal Penelitian dan Ilmu Pendidikan, Agustus 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/nusra.v5i3.3125

Abstract

Increasing student participation is one of the main goals in education.Effective classroom management plays a key role in achieving this goal. This overview describes some effective classroom management strategies to increase student participation. Create a positive and informative learning environment. This can be achieved by building positive relationships with students, setting clear rules and expectations, and positively reinforcing desired behaviors. Implement active learning that is student-centered.This can be done by using various learning methods, such as collaborative learning, project-based learning and problem-based learning. Provide effective feedback and evaluation. Effective feedback and assessment help students understand their progress and learn from their mistakes. Parent and community involvement. Parents and the community can play an important role in supporting student learning.
Strategi Efektif dalam Manajemen Kelas untuk Meningkatkan Keterlibatan Siswa Sudharsono, Muhamad; Rahayu, Sri; Damayanti, Sherli; Rahmah, Laila
NUSRA : Jurnal Penelitian dan Ilmu Pendidikan Vol. 5 No. 3 (2024): NUSRA: Jurnal Penelitian dan Ilmu Pendidikan, Agustus 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/nusra.v5i3.3179

Abstract

Increasing student participation is one of the main goals in education.Effective classroom management plays a key role in achieving this goal. This overview describes some effective classroom management strategies to increase student participation. Create a positive and informative learning environment. This can be achieved by building positive relationships with students, setting clear rules and expectations, and positively reinforcing desired behaviors. Implement active learning that is student-centered.This can be done by using various learning methods, such as collaborative learning, project-based learning and problem-based learning. Provide effective feedback and evaluation. Effective feedback and assessment help students understand their progress and learn from their mistakes. Parent and community involvement. Parents and the community can play an important role in supporting student learning.
APPLICATION OF VGG16 ARCHITECTURE IN WOOD TYPE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK Afiah, Nurul Anggun; Syahrullah, Syahrullah; Ardiansyah, Rizka; Laila, Rahmah; Pohontu, Rinianty
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.3874

Abstract

Wood is an important natural resource in construction and the furniture industry, with various types possessing unique characteristics. The selection of wood types is often done manually, which is prone to errors that can negatively impact the working process, product quality, and the sustainability of the forests that source the wood. Therefore, this research aims to improve classification accuracy through the application of technology. This study utilizes Convolutional Neural Network (CNN) with the VGG16 architecture to process images in analyzing the visual characteristics of wood, with the goal of building a model capable of classifying wood types based on images. The dataset used consists of 1,584 samples of wood images sourced from Kaggle. Four models were tested with variations in the training and validation data splits, as well as the use of Adam and Adamax optimizers, over 100 epochs. Model 1 achieved a training accuracy of 96.68% and a testing accuracy of 98.10%. Model 2, with a training accuracy of 99.47% and a testing accuracy of 98.41%, showed the best performance. Models 3 and 4 also yielded testing accuracies of 97.46% and 97.78%, respectively. The results of this study indicate that the application of CNN with the VGG16 architecture can enhance the effectiveness of wood type classification and contribute to more accurate and efficient wood selection practices.
IMPLEMENTASI SVM DAN SMOTE PADA ANALISIS SENTIMEN MEDIA SOSIAL X TERHADAP PELANTIKAN AGUS HARIMURTI YUDHOYONO Fajriyah, Nurul; Lapatta, Nouval Trezandy; Nugraha, Deny Wiria; Laila, Rahmah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6246

Abstract

Pelantikan Agus Harimurti Yudhoyono sebagai Menteri Agraria dan Tata Ruang/Badan Pertanahan Nasional (ATR/BPN) telah memicu berbagai reaksi publik yang terekam dalam media sosial X. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap pelantikan tersebut menggunakan algoritma Support Vector Machine (SVM) dan teknik Synthetic Minority Oversampling Technique (SMOTE). Data yang digunakan dalam penelitian ini diambil dari komentar masyarakat di media sosial X, yang kemudian diolah untuk membedakan antara sentimen positif, negatif, dan netral. Dalam proses analisis, data awal yang diperoleh cenderung tidak seimbang, dengan jumlah data sentimen negatif yang lebih banyak dibandingkan dengan sentimen positif dan netral. Oleh karena itu, teknik SMOTE diterapkan untuk mengatasi ketidakseimbangan kelas dan meningkatkan performa model. Algoritma SVM kemudian digunakan untuk melakukan klasifikasi sentimen. Hasil penelitian menunjukkan bahwa model SVM yang diimbangi dengan SMOTE memiliki tingkat akurasi yang tinggi dalam mengklasifikasikan sentimen publik dibandingkan dengan model tanpa SMOTE dengan akurasi sebesar 0.93, presisi sebesar 0.93 dan recall sebesar 0.93.
Utilization of EfficientNet-B0 to Identify Oncomelania Hupensis Lindoensis as a Schistosomiasis Host Lamadjido, Moh. Raihan Dirga Putra; Laila, Rahmah; Pusadan, Mohammad Yazdi; Yudhaswana, Yuri; Lapatta, Nouval Trezandy; Ngemba, Hajra Rasmita
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9058

Abstract

Schistosomiasis caused by the Schistosoma japonicum worm is a significant health problem in Indonesia, especially in endemic areas such as the Napu Plateau and Bada Plateau. The main problem in controlling this disease is the difficulty in rapid and accurate identification of Oncomelania hupensis lindoensis snails as intermediate hosts of the parasite. This research aims to develop an artificial intelligence-based system that can efficiently identify the snail species. The stages of this research include collecting snail image data from the Central Sulawesi Provincial Health Office, consisting of 2100 images covering seven snail species, then processed through preprocessing and augmentation stages. The model applied was EfficientNet-B0. The results showed that the EfficientNet-B0 model achieved 98.80% training accuracy and 98.33% validation accuracy. Confusion matrix testing showed good performance, with an accuracy of 98% and for the species Oncomelania hupensis lindoensis had a recall of 93%, precision of 100%, F1-score of 97%, and the resulting AUC value of 99.7%. This research successfully developed an efficient identification system, which is expected to help health surveillance personnel in accelerating the identification process of schistosomiasis intermediate hosts.
Analisis Pola Kepemimpinan Guru dan Kepala Sekolah Berbasis Gender di Provinsi Nusa Tenggara Barat Joned Bangkit Wahyu Laksono; Lailaturrahmah, Etika; Diana Wahyuni Sulasti; Silvi Husnaini; Imas Hasdianti; A Wahab Jufri
JPAP (Jurnal Praktisi Administrasi Pendidikan) Vol. 9 No. 1 (2025): JANUARI 2025
Publisher : Postgraduate University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpap.v9i1.804

Abstract

Penelitian ini bertujuan untuk menganalisis perbedaan pola kepemimpinan guru dan kepala sekolah berbasis gender di Provinsi Nusa Tenggara Barat (NTB). Penelitian ini menggunakan metode survei dengan menggunakan angket yang terdiri dari 5 aspek berjumlah 89 pertanyaan tertutup skala likert dengan 4 kategori pilihan jawab serta 5 pertanyaan terbuka. Responden dari penelitian ini adalah seluruh guru dan kepala sekolah di Provinsi NTB. Sampel penelitian berjumlah 170 responden. Hasil penelitian menunjukkan bahwa laki-laki cenderung lebih terstruktur dalam menjalankan peran kepemimpinan mereka, menunjukkan pola kepemimpinan yang lebih transaksional dan berfokus pada pencapaian hasil, sementara perempuan lebih dominan dalam aspek kolaborasi dan hubungan interpersonal, yang lebih mencerminkan gaya kepemimpinan transformasional. Laki-laki lebih sering bekerja secara konsisten dalam hal kolaborasi dan komunikasi yang efektif, sementara perempuan lebih menekankan pada aspek pengetahuan dan pedagogik, yang mencerminkan pendekatan yang lebih berfokus pada pengembangan dan pemahaman. Laki-laki lebih unggul dalam hal kepemimpinan yang berorientasi pada hasil dan pencapaian, sementara perempuan lebih dominan dalam pendekatan yang lebih kolaboratif dan berbasis hubungan interpersonal. Kedua gaya kepemimpinan ini dapat saling melengkapi dalam menciptakan suasana kerja yang produktif dan inklusif.
EVALUASI STANDAR PELAYANAN MINIMAL PENGENDALIAN DIABETES MELITUS DI PUSKESMAS BOGOR UTARA KOTA BOGOR TAHUN 2019 Rahmah, Laila; Khodijah Parinduri, Siti
PROMOTOR Vol 3 No 3 (2020)
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (780.118 KB) | DOI: 10.32832/pro.v3i3.4176

Abstract

Standar Pelayanan Minimal (SPM) pengendalian Diabetes Melitus adalah SPM yang harus dilaksanakan sesuai standar oleh Puskesmas. Menurut laporan kegiatan pengendalian diabetes melitus pada tahun 2018 terdapat 207 penderita Diabetes Melitus di wilayah kerja Puskesmas Bogor Utara dan belum semua penderita diabetes melitus mendapatkan pelayanan sesuai standar yang di tetapkan oleh Permenkes. Tujuan penelitian ini adalah untuk mengetahui evaluasi standar pelayanan minimal pengendalian diabetes melitus di Puskesmas Bogor Utara mulai dari Input, Proses dan Outputnya. Penelitian ini merupakan jenis penelitian kualitatif, dengan jumlah populasi yaitu 235 dan sampel berjumlah 10 orang yang dipilih berdasarkan. metode purposive sampling yaitu teknik sampling non random sampling Instrumen yang digunakan adalah pedoman wawancara, daftar ceklist observasi dan daftar ceklist telaah dokumen. Hasil penelitian menunjukan bahwa sumber daya manusia yang berkaitan dengan pengendalian diabetes melitus belum mencukupi, peralatan HbA1C yang belum memadai untuk melakukan pemeriksaan, ketersediaan obat insulin yang belum ada di Puskesmas serta pencapaian kinerja yang belum optimal Kesimpulan dari penelitian adalah pelaksanaan kegiatan pengendalian diabetes melitus di Puskesmas Bogor Utara belum dilaksanakan secara optimal yaitu belum semua penderita diabetes mendapatkan pemeriksaan HbA1C, serta tenaga sumber daya manusia belum mencukupi, hal ini mengakibatkan pencapaian kinerja yang masih rendah. Semoga dengan adanya penelitian ini Puskesmas Bogor Utara dapat mengevalusi dan menaggulangi hambatan-hambatan yang ada saat ini sehingga pengendalian diabetes melitus bisa dilaksanakan secara optimal.
Evaluating IT Service Capability of Palu BPS Website Using COBIT 5 Framework Ningsih, Alief Surya; Lapatta, Nouval Trezandy; Laila, Rahmah; Kasim, Anita Ahmad; Joefrie, Yuri Yudhaswana; Anshori, Yusuf
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3909

Abstract

This research assesses the IT service capability of the official website of the Palu City Central Bureau of Statistics (BPS) by applying the COBIT 5 framework. The assessment is centered on four key processes from the Deliver, Service, and Support (DSS) as well as Monitor, Evaluate, and Assess (MEA) domains—namely DSS01 (Manage Operations), DSS02 (Manage Service Requests and Incidents), DSS06 (Manage Business Process Controls), and MEA01 (Monitor, Evaluate, and Assess Performance and Conformance). Data were collected through structured interviews, observation sessions with website administrators, and an analysis of supporting documents to determine the current capability levels and compare them with the desired target level of 3. The results show that DSS01 and MEA01 have reached capability level 2, indicating that the processes are defined but not consistently standardized. Meanwhile, DSS02 and DSS06 remain at level 1, indicating reactive operations with limited documentation. The average capability level of 1.5 suggests that there is room for significant improvement in terms of documentation, process formalization, and the use of enabling technologies. Based on these findings, this study recommends targeted improvements to enhance the overall performance and reliability of digital public services, as well as to support better IT governance and e-government practices.
E-Prescription: Opportunities and Challenges Jamil, Ahmad Mochtar; Fahrudda, Ansarul; Mundakir, Mundakir; Hartamto, Offia Melda Permata; Absor, Sholihul; Suswojo, Heru; Anas, Muhammad; Rahmah, Laila
MAGNA MEDIKA Berkala Ilmiah Kedokteran dan Kesehatan Vol 12, No 2 (2025): AUGUST
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/magnamed.12.2.2025.182-195

Abstract

Background: The research explores the advancements and implications of e-prescribing systems within modern healthcare.Objective: The primary objective is to assess the growing body of literature, examining global trends, effectiveness, and challenges associated with e-prescribing implementation.Methods: Using a comprehensive literature review methodology, data were sourced from the Scopus database, revealing many publications from 1980 to 2024.Results: A notable increase in scholarly interest was observed, particularly from 2015 to 2024, highlighting e-prescribing as a mature research subject. The results indicate a high concentration of research activity in advanced healthcare systems, contrasting with the limited contribution from developing contexts such as Indonesia.Conclusion: The study identifies that while e-prescribing improves medication safety and efficiency, gaps in understanding its long-term impacts on patient outcomes persist. Additionally, disparities in technology adoption among demographic groups emerge as significant barriers. This research contributes to existing knowledge by underscoring the need for localized studies and international collaboration to enhance e-prescribing practices. Future research directions should focus on evaluating long-term outcomes, improving digital literacy, and assessing training impacts on healthcare professionals.
Co-Authors A Wahab Jufri Absor, Sholihul Afiah, Nurul Anggun Ahmad Chirzun Al Hakim, Roby Maulana Anita Ahmad Kasim Anwar, Asriani Azkia, St. Aulia Billyardi Ramdhan Bogheiry, Ali Damayanti, Sherli Deny Wiria Nugraha Dessy Santi Diana Wahyuni Sulasti Dwiyanto, Andika Fahrudda, Ansarul Fajriyah, Nurul Faldiansyah, Faldiansyah Firhan Nurfaizi Hajra Rasmita Ngemba Haniifah, Ulaa Hartamto, Offia Melda Permata Imam Abdullah , Ahmad Imas Hasdianti Jamil, Ahmad Mochtar Jonathan Wongkar, Noel Marcell Joned Bangkit Wahyu Laksono Jujun Ratnasari Lamadjido, Moh. Raihan Dirga Putra Lamasitudju, Chairunnisa M Thaha, M M Zakaria Meyssa Dwi Miftah Miftah, Miftah Mohammad Yazdi Pusadan Muhammad Anas Muhammad Jindan Mundakir Ningsih, Alief Surya Nouval Trezandy Lapatta Nugroho, Yudhistiro Andri Nurholisoh, Siti Nursalim, Moh. Agung Nursiana Zasqia, Andi Nirina Pratama, Moh. Asry Eka Pratama, Moh. Rezki Pratiwi, Dian Asri Puspita, Eka Ari Qothrunnada, Widya Rahmasena, Naomi Rasmita Ngemba, Hajra Rifai, Muhammad Fajar Rima Ahadiah Rini Septiani Rinianty, Rinianty Risaldi Pata’Dungan, Adi Rita Arlitia Rizka Ardiansyah Rosmala Nur Ruddy Indra Frahasta Rumampuk, Viola Gracella Ryfial Azhar Saleh, Muhammad Taufik Salhudin, Salhudin Selpi Susilawati Septiano Anggun Pratama Setiono Setiono Sibawaihi, Muhammad Silvi Husnaini Siti Jamilah Siti Khodijah Parinduri Sri Purnawati SRI RAHAYU Sudharsono, Muhamad Suswojo, Heru Syahrullah Syahrullah Syahrullah Syaiful Hendra Teti Damayanti Thaha, M. Thaha TITIN SUNARYATI Ulfa Fauzi Vira Safitri Aulia Widyati, Made Ayu Sri Wilda Waliam Wirdayanti Wiska Hera Yuri Yudhaswana Joefrie Yusuf Anshori