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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jupiter Coding: Jurnal Komputer dan Aplikasi Techno.Com: Jurnal Teknologi Informasi CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Informatika Upgris Jurnal Khatulistiwa Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI CYBERNETICS JURIKOM (Jurnal Riset Komputer) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi dan Sistem Tertanam Djtechno: Jurnal Teknologi Informasi KLIK: Kajian Ilmiah Informatika dan Komputer JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) International Journal of Humanities Education and Social Sciences CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Informatika Polinema (JIP) The Indonesian Journal of Computer Science Jurnal Media Informasi Teknologi Mekongga: Jurnal Pengabdian Masyarakat
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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

Pemanfaatan Internet of Things (IoT) Untuk Sistem Kendali dan Otomatisasi Pemeliharaan Bibit Ikan Lele Kaffi, Muhammad Syahrul; Hidayati, Rahmi; Suhardi, Suhardi
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5833

Abstract

Catfish farming is one of the fisheries businesses that requires intensive attention to various environmental factors such as water quality, weather conditions, and feeding schedules so that productivity remains optimal. These conditions if not managed properly can cause a decrease in water quality which results in fish death or growth that is not maximized. To overcome these problems, an automatic control system based on the Internet of Things (IoT) was developed by utilizing the Arduino Uno microcontroller and ESP32 as the main components in the system. The system is equipped with various sensors, such as a pH sensor to monitor water acidity, an ultrasonic sensor to measure water depth, and a rain sensor to detect weather changes. In addition, the system is also equipped with relays, water pumps, and servos that function to regulate water conditions, automatic feeding, and automatic roof operations on fish ponds. This research was tested 72 times with different values of pH and ultrasonic sensor accuracy. The test results show that this system works without errors, with the pH sensor accuracy level reaching 89% and the ultrasonic sensor at 97%. With this automation system, it is hoped that catfish farmers can manage ponds more efficiently, monitor pond conditions in real-time, and increase cultivation productivity through the management of fish ponds.
Klasifikasi Siswa Slow Learner Menggunakan Algoritma C4.5 Dalam Optimalisasi Pembelajaran di Sekolah Menengah Pertama Gloria, Bela Priska; Hidayati, Rahmi; Hasfani, Hirzen
Journal of Information System Research (JOSH) Vol 6 No 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i3.6932

Abstract

Education is a learning process aimed at enhancing students' abilities in the school environment. SMP Negeri 12 Sungai Ambawang is one of the educational institutions located in Sungai Ambawang District. In the learning process, each student has a different level of understanding of the material being taught. Some students struggle to grasp lessons at the same pace as their peers, which categorizes them as slow learners. Lack of awareness about slow learners can hinder the teaching and learning process, as teachers must repeatedly explain the material. Therefore, this study aims to identify and classify slow learners using the C4.5 machine learning algorithm to help schools design more effective and adaptive learning strategies. The classification of slow learners is divided into four categories: normal, mild, moderate, and severe. The dataset consists of 135 data points, including 81 training samples and 54 testing samples. The attributes used include scores from subjects such as Civics (PKN), Indonesian Language, Mathematics, Natural Sciences (IPA), Social Sciences (IPS), and English. The C4.5 algorithm generates a decision tree with Natural Sciences (IPA) as the root node attribute. Testing using the Confusion Matrix shows an accuracy of 91%, precision of 54%, recall of 68%, and an error rate of 9%. The classification results indicate that 9% of students fall into the normal category, 24% into the mild category, 62% into the moderate category, and 0% into the severe category. These results demonstrate that the C4.5 algorithm is effective in classifying slow learners.
Co-Authors Achyar, Athif Tafrihan Adam, Chairul Agus Harjoko Aji, Maulana Setia Alfikri, Nadya Syifa Alhadi Fadhli Andreni, Gracella Aqila Zulfahmi Putri, Nessa Ariansyah Sudarsono Arif Rahmawan Aris Fajrianto Basuki Ilham, Maulana Cucu Suhery Darmawansyah Darmawansyah Dea Rizki Febrinamas Dedi Triyanto Deni Deni Destia Arini Hairunnisa Dwi Marisa Midyanti Dwi Marisa Midyanti Ellif Ellif Fajar Mu'alim Firdaus, Nurul Fajri 'Aini Fransiskus Julian Adresman Frasila Frasila Gloria, Bela Priska Gunawan Gunawan Hafiz Muhardi Herawati, Yunita Hirzen Hasfani Huda, Nur'ainul Miftahul Ika Nurul Hidayah Ikhsan, Afif Muhammad Ikhwan Ruslianto Ilhamsyah Imro'ah, Nurfitri Irma Nirmala Irma Nirmala Irma, Irma Nirmala Irwan Guntoro Irwan Guntoro Jaka, Jaka Jakiya Junianti, Suci Kaffi, Muhammad Syahrul Karika Sari Kartika Sari Kartika Sari Kartika Sari Kasliono Kasliono Kresna Satya Nugroho Krisna Madani Lestari, Ayu Lathalia Lestarry, Indah Advia Marettania, Felisitas Marisa Midyanti, Dwi Michael Michael Muhamad Reksy Mulia Muhammad Luthfi Nirmala, Irma Nur Fitriana Putri Nurul Mutiah PERMADANI, CHANDRA MONICA Pratama, Rakha Daffa Primus Mario Andaka Ginting Rahmanita Widiyanti Rahmawan, Arif Rika, Irmina Riska Wulandari, Riska Rizky Risan R Ruslan Abdul Gan Sampe Hotlan Sitorus Saputra, Dimas Bagus Saputra, Yoga Sari, Ita Permata Septiana Hapsari Putri Subri, Hafiz Adlan Afrigi Suci Junianti Suci Pania, Tika Suhardi Suhardi Suhardi Suhardi Suwanty, Erina Sy Kamal Baraqbah Syamsul Bahri Syamsul Bahri Sylviana Kusuma Tedy Rismawan Tedy Rismawan Teodora Fenny Aliansih Uray Ristian Utami, Retnaning Tyas Vidyana, Irma Yuniardi, Amalia