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All Journal Jurnal SOLMA Jurnal Sistem informasi dan informatika (SIMIKA) Generation Journal Indonesian Community Journal Jurnal Algoritma Journal of Research Applications in Community Services AL-UMRON: Jurnal Pengabdian kepada Masyarakat Jurnal Informatika Polinema (JIP) COMPUTECH : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Almantiq Jurnal Teras Pengabdian Masyarakat
Zakki Alawi
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 Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

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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%
Penerapan Rapid Prototyping Dalam Analisis dan Perancangan Sistem Pemasaran dan Pemesanan Properti Pada PT. Singgah Artha Sejahtera Hidayah, Nurul Hidayah; Alawi, Zakki
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.v5i2.5314

Abstract

Digital transformation in the property sector is essential due to the limitations of conventional marketing and ordering methods. PT. Singgah Artha Sejahtera still relies on manual systems that hinder service efficiency and reach. This study aims to analyze and design a web-based property marketing and ordering system using the Rapid Prototyping method. The method was chosen for its iterative nature and ability to quickly produce prototypes while involving users throughout the development process. The stages include needs assessment, interface design, initial system implementation, and usability testing. The result is a functional system that supports property data management, filtered property search, online booking, and transaction reporting. Usability testing indicates the system is user-friendly and enhances user experience. This study contributes to the application of Rapid Prototyping in property information system development and may serve as a reference for other property companies seeking business process digitalization.
Implementasi Metode K-Means untuk Rekomendasi Penerima Kartu Indonesia Sehat Desa Katur Irfani, Ulfi; Alawi, Zakki; Mahmudah, Nur
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 5 No. 1 (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.v5i1.5524

Abstract

The Healthy Indonesia Card is health insurance that is subsidized by the government for underprivileged people, but the provision of the Healthy Indonesia Card is not evenly distributed, because the selection of recipients of this KIS assistance is done manually. The government must provide adequate health facilities for underprivileged people with health insurance that is right on target. Therefore, this research is a solution for village governments in sorting KIS recipient participants automatically using a system, so that KIS distribution can be even and on target. The method used in this research is the K-Means algorithm which can group residents to recommend recipients of KIS assistance in Katur village. And implementing the K-Means method allows structured processing, resulting in accurate and efficient recommendations. There are 150 data from Katur village residents. And the calculation results from this system, cluster 1 has 90 residents and cluster 2 has 60 residents. With the provisions, cluster 1 is the priority that gets KIS. The conclusion of this research is that the application of the KMeans Clustering algorithm to the recommendation system for Healthy Indonesia Card recipients produces an accuracy of 89.3% and is proven to be effective. This implementation was successful in finding residents who were worthy of receiving KIS assistance.
Co-Authors Aftha Harianto, Febby Refindha Ahmad Farhan, Ahmad APRILLIA, YUSIFA Aralia, Shafa Kirana Audytra, Hastie Ayuni, Intan Sri Barata, Mula Bassalam, Ahmad Nasih Ulwan Ceisa, Nirma Dirgantoro, Guruh Putro Hidayah, Nurul Hidayah Ifa Khoiria Ningrum Irfani, Ulfi Ita Aristia Sa'ida Jauhar Vikri, Muhammad Kartini, Alif Yuanita Laili, Elok Fathiyatul Lestari, Iin Widya Moh. Shohibul Wafa Muhammad Hilmi Khafabihi Muhammad Yusuf Affandi Mula Agung Barata Nilna Indriana Nugraha, Krisna Wahyu Nur Mahmudah Rheyna Anggri Setyani Roihatur Rohmah Sanjaya, Ucta Pradema Sri Minarti Vita Dwi Rahmawati Zayn, Afta Ramadhan