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All Journal Jurnal Informatika KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Abdi Insani TIERS Information Technology Journal
WINDHA MEGA PRADNYA DHUHITA
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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CLUSTERING MENGGUNAKAN METODE K-MEAN UNTUK MENENTUKAN STATUS GIZI BALITA Dhuhita, Windha Mega Pradnya
Jurnal Informatika Vol 15, No 2 (2015): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Malnutrition is one of the health problems that quite often among toddlers in Indonesia. Trace data from the WHO, the number of infants who had died from malnutrition in Indonesia in 2012 was 29 out of 1000 births. Caring parents and village officials (in this case the officer Public Health Service Center - HEALTH) to monitor the nutritional indispensable. Research conducted to try to perform a grouping of 50 children in the village of Karang Songo into 5 clusters nutritional status. Grouping nutritional status of children in the village of Songo Flower using the K-Means method is done through several stages, namely: the determination of business objectives, data collection 50 children in the village of Songo coral, grouping balitake nutritional status in five clusters, namely cluster 1 - malnutrition; cluster 2 - malnutrition; cluster 3 - good nutrition; cluster 4 - nutrition; Cluster 5 - obesity, cluster calculations using SPSS software, analysis of the output data, grouping nutritional status of children using tables Growth Chart, and the latter tested by comparing the results of the grouping of K-means algorithm and tables Growth Chart. By comparing the results of grouping using a table Growth Chart and K-Means algorithm obtained 17 data have the same group. From this figure it can be concluded that the K-Means algorithm only has an accuracy score of 34% correct.Keywords—Data Mining , Nutritional Status , K -Means
A Comparative Study of Three Decision Support Methods: Proving Consistency in Decision-Making with Identical Inputs Nasyuha, Asyahri Hadi; Dhuhita, Windha Mega Pradnya; Harmayani, Harmayani; Marwanta, Y. Yohakim; Chung, Meng-Yun; Ikhwan, Ali
TIERS Information Technology Journal Vol. 6 No. 1 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i1.6157

Abstract

Decision-making in complex environments often requires evaluating multiple alternatives against various criteria, which can sometimes result in inconsistent outcomes when different decision support methods are employed. Such inconsistencies pose significant challenges for decision-makers in determining the most reliable methodology. To address this gap, the present study examines whether three widely adopted decision support methods, Simple Additive Weighting (SAW), Simple Multi-Attribute Rating Technique (SMART), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), produce consistent results when applied to identical input values, criteria, and alternatives. The primary aim is to explicitly assess the consistency of decision-making outcomes across these methods under controlled conditions. The evaluation was conducted using a set of alternatives, with A1 consistently emerging as the top choice. Specifically, the SAW method produced a final score of 0.8998 for A5, the SMART method assigned a value of 0, and the TOPSIS method yielded a closeness coefficient of 0.826 for the same alternative. The unique contribution of this study lies in its systematic, side-by-side comparison of SAW, SMART, and TOPSIS using precisely the same dataset, an approach seldom addressed in prior research. By empirically demonstrating that these methods generate identical rankings under strictly controlled scenarios, this research provides new evidence supporting the methodological robustness and practical interchangeability of these widely used decision support techniques. The findings underscore the reliability of these methods in facilitating objective decision-making and offer valuable guidance for researchers and practitioners in selecting the most suitable DSS method without concern for inconsistent results.
PELATIHAN MANAJEMEN MEDIA SOSIAL DAN DESAIN GRAFIS UNTUK PENINGKATAN SOSIALISASI PENGELOLAAN BANK SAMPAH DI DESA TRIHARJO SLEMAN YOGYAKARTA Agusta, Rivga; Dhuhita, Windha Mega Pradnya; Huda, Arif Akbarul
Jurnal Abdi Insani Vol 12 No 7 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i7.2663

Abstract

Pengelolaan sampah merupakan permasalahan di Daerah Istimewa Yogyakarta. Salah satu solusi yang diterapkan di Desa Murangan Triharjo adalah dengan menyelenggarakan Bank Sampah ATRAS. Dalam pelaksanaannya, Bank Sampah ATRAS memerlukan sosialisasi yang menyeluruh kepada masyarakat untuk memahami proses pengelolaan sampah secara mandiri di rumah hingga sampai ke bank sampah. Untuk meningkatkan pengetahuan masyarakat terkait pengelolaan sampah tersebut, diperlukan kegiatan Pengabdian Kepada Masyarakat untuk mendukung peningkatan kemampuan masyarakat dalam melakukan sosialisasi melalui media sosial. Kegiatan Pengabdian Kepada Masyarakat ini bertujuan untuk memberikan pelatihan manajemen media sosial dan desain grafis kepada pengelola Bank Sampah ATRAS agar dapat secara mandiri memproduksi konten bermuatan edukasi pengelolaan sampah di media sosial. Metode yang dilakukan dalam pelaksanaan kegiatan ini yaitu dengan produksi video company profile Bank Sampah ATRAS dan pemberian pelatihan secara luring di gedung pertemuan di daerah Murangan Triharjo Sleman selama 4 jam. Materi yang diberikan antara lain berfokus pada empat aktivitas manajemen media sosial meliputi research, ideation, creation, dan distribution, jenis konten media sosial, pengelolaan media sosial, dan pengelolaan aplikasi desain grafis. Hasil dari kegiatan ini, Bank Sampah ATRAS memiliki video company profile dan dipublikasikan pada website resmi Bank Sampah ATRAS. Selain itu terdapat peningkatan pengetahuan pengelola Bank Sampah ATRAS dalam mengelola media sosial. Selain itu terdapat peningkatan kemampuan pengelola dalam membuat infografis seputar pengelolaan sampah menggunakan aplikasi Canva.
Pemanfaatan sistem informasi untuk manajemen bank sampah di Desa Murangan Triharjo Sleman Dhuhita, Windha Mega Pradnya; Huda, Arif Akbarul; Agusta, Rivga; Sukamta, Sukamta; Wiyana, Satria Hadi; Saputra, Agel; Kristanto, Heru
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 8, No 1 (2025): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v8i1.2577

Abstract

Pengelolaan bank sampah secara manual sering menghadapi berbagai kendala seperti pencatatan transaksi yang tidak akurat, keterbatasan transparansi, dan rendahnya partisipasi masyarakat dalam pemilahan sampah. Kegiatan ini bertujuan untuk mengatasi masalah tersebut melalui penerapan Sistem Informasi Manajemen (SIM) Bank Sampah di Murangan, Sleman. Sistem ini dirancang untuk mencatat transaksi sampah secara digital, memudahkan pengelolaan data nasabah, dan menyediakan laporan otomatis yang transparan. Analisis menggunakan metode tulang ikan dilakukan untuk mengidentifikasi kendala, meliputi aspek manusia, metode, mesin, material, lingkungan, dan manajemen. Hasil pelatihan SIM menunjukkan peningkatan pemahaman tentang pengelolaan bank sampah hingga 81%. Dengan pengimplementasian SIM ini juga meningkatkan transparansi dan akurasi data transaksi. Dengan demikian, penerapan SIM Bank Sampah dapat menjadi solusi efektif untuk memperkuat pengelolaan sampah yang lebih efisien dan berkelanjutan.
Co-Authors Agusta, Rivga Ali Ikhwan Ankisqiantari, Nurrofiqi Arif Akbarul Huda Asyahri Hadi Nasyuha Chung, Meng-Yun Darmawan, Muhammad Farhan Khairul Amri Heru Kristanto Marwanta, Y. Yohakim Saputra, Agel Sukamta Sukamta Triana, Lasmita Wiyana, Satria Hadi