Article Per Year (5 Year)
p-Index From 2020 - 2025
4.393
P-Index
This Author published in this journals
All Journal JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi SINTECH (Science and Information Technology) Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMATICS Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Informatika Global Prosiding Seminar Nasional Multidisiplin Jurnal Sistem informasi dan informatika (SIMIKA) At-Thullab : Jurnal Pendidikan Guru Madrasah Ibtidaiyah Jurnal Inovasi Penelitian Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian kepada Masyarakat Journal of Education Research Indonesian Community Journal Edu Research : Jurnal Penelitian Pendidikan Inspirasi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Media Bina Ilmiah Journal of Research Applications in Community Services AL-UMRON: Jurnal Pengabdian kepada Masyarakat E-Amal: Jurnal Pengabdian Kepada Masyarakat Almantiq NAWASENA BHAKTI
Ita Aristia Sa'ida
Universitas Nahdlatul Ulama Sunan Giri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Almantiq

 1 
Implementasi Algoritma Naive Bayes Dengan Feature Selection Backward Elimination Dalam Pengklasifikasian Status Penderita Stunting Pada Balita APRILLIA, YUSIFA; ALAWI, ZAKKI; ARISTIA SA'IDA, ITA
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3238

Abstract

Stunting or stunting is one of the nutritional problems experienced by toddlers, where toddlers experience failure to thrive as a result of chronic malnutrition so that toddlers are too short for their age. Broadly speaking, stunting is caused by a lack of nutrition for a long time and the occurrence of recurrent infections, and these two causative factors are influenced by inadequate parenting from the womb to the first 1,000 days of birth. The Asian Development Bank (ADB) reports that the prevalence of children with stunting under the age of five in Indonesia is the second highest in Southeast Asia. Its prevalence reaches 31.8% in 2020. Further monitoring and data collection by the Singgahan Pukesmas regarding stunting cases determines the growth and development factors of toddlers both in the womb and toddlers who have been born. However, the problem that often arises at the Singgahan Pukesmas is that examining the status of stunting in toddlers still takes quite a long time because it is done manually and is also prone to inaccuracies, so a system is needed that can classify toddler examination data to predict whether the child is in stunting or not stunting status. fast and accurate. From the results of this study it can be concluded that the Naive Bayes Algorithm with backward elimination feature selection makes it easier to determine the status of stunted or not stunted toddlers with the variables gender, age, weight, height, BB/U, Z-core BB/U, BB/ TB, Z-Core BB/TB, Z-core TB/U with a total of 450 dataset records, 360 training data records and 90 testing data records taken randomly with an accuracy of 86.11%
Sistem Identifikasi Pencemaran Air Sungai Berbasis Internet Of Things Eli Widyawati, Reza; Audytra, Hastie; Aristia Sa'ida, Ita
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3239

Abstract

Rivers are open-water ecosystems that are vulnerable to pollution or damage. Pollution that occurs in rivers is usually caused by environmental conditions and human activity that settles around the river. Water ecosystems consist of interrelated biotic and abiotic components; when both components are interrupted, changes in the ecosystem become unbalanced. Water pollution can be caused either intentionally or accidentally, but the main factor in the occurrence of water contamination that is often found is the result of human activity. Technology in this era is evolving very fast. Therefore, there are many prototypes that can support the development of such technologies, such as node-MCU and the Internet of Things (IOT). NodeMCU is a microcontroller equipped with the WiFi module ESP8266. NodeMCU also has a relatively cheaper price.The test results on this system were obtained by conducting a black box test and a validity test on an IOT-based river water pollution identification system using a pH sensor and a turbidity sensor. The results of testing the application of fuzzy sugeno produce a value of 100% from the compatibility of the 3 tests, namely testing on the system, matlab and manual calculations.He suggested that this system could make it easier to know the quality of contaminated or uncontaminated river water.
Sistem Kamera Cerdas Pendeteksi Kendaraan Salip Kiri untuk Mengurangi Laka Lantas Berbasis Pembelajaran Mesin agustian, rifan; Dirgantoro, Guruh Putro Dirgantoro; Sa’ida, Ita Aristia Sa’ida
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 5 No. 2 (2025): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v5i2.5256

Abstract

Sistem ini dirancang untuk mendeteksi pelanggaran lalu lintas berupa salip kiri menggunakan kamera dan algoritma YOLOv5. Sistem memanfaatkan ESP32 untuk mengontrol floodlight sebagai peringatan serta mengirim notifikasi otomatis ke Telegram. Pengujian menunjukkan deteksi real-time dapat dilakukan dengan tingkat akurasi tinggi dan respons cepat. Hasil implementasi juga menunjukkan sistem ini efisien, murah, serta mudah diadopsi di wilayah rawan kecelakaan. Studi ini diharapkan dapat menjadi solusi teknologi dalam mendukung keselamatan jalan.
Co-Authors Abdul Faqih Aftha Harianto, Febby Refindha Agus Afriliyanto agustian, rifan Ainu Zuhriyah APRILLIA, YUSIFA Asfira, Eka Audytra, Hastie Ayu Mauliana Intahaya Bakti Putra Pamungkas Ceisa Santi, Nirma Devi Dwi Nuraliza Diah Anggraini, Diah Diah Fitriani, Diah Dirgantoro, Guruh Putro Dirgantoro, Guruh Putro Dirgantoro Dwi Issadari Hastuti Eli Widyawati, Reza Elsa Azia Ulhaq Fajar Nawulansih, Dewi Guruh Putro Dirgantoro Jauhar Vikri, Muhammad Laily, Amalia Nur M. Iqbal Tawakkal Mochamad Nizar Palefi Ma’ady Muarofah, Isna Ayu Muhammad Adib Asrori Muhammad Zaenal Abidin Mula Agung Barata Nawafila Februyani Niken Sukmawati Nurul Huda Nurul Maratus Sholihah Sahri Sahri Sahri Sahri Sahri Sahri Sanjaya, Ucta Pradema Santi, Nirma Ceisa Saputra, Agus Bima Siti Cholifah Siti Shoimah Sunu Wahyudhi Taufiq Hidayat Tawakkal, M. Iqbal Wulan, Diah Nawang Wulandari, Devi Ayu Zakki Alawi Zeti Novitasari