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All Journal International Journal of Artificial Intelligence Research Knowledge Engineering and Data Science ILKOM Jurnal Ilmiah Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Data and Science Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Open Community Service Journal Bulletin of Social Informatics Theory and Application Jurnal Pengabdian Masyarakat Kesehatan Gigi FOKGII
Salim, Yulita
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Mathematics Public Health Social Sciences Other

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Upaya Pencegahan Early Childhood Caries sebagai Salah Satu Faktor Penyebab Stunting dengan Edukasi Perilaku Makan dan Pelatihan Teknik Menyikat Gigi di Desa Paddinging Kecamatan Febriany, Mila; Puspitasari, Yustisia; Pamewa, Kurniaty; Salim, Yulita
Jurnal Pengabdian Masyarakat Kesehatan Gigi FOKGII (JPMKG FOKGII) Vol. 2 No. 1 (2025): Februari 2025
Publisher : Forum Komunikasi Kedokteran Gigi Islam Indonesia

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

Abstract

Pemberian makan merupakan salah satu faktor predisposisi perkembangan Early Childhood Caries yang umumnya terjadi pada usia anak prasekolah. Masa perkembangan anak mengalami peningkatan yang pesat pada usia 0-5 tahun, yang disebut fase “Golden Age”. Pada masa ini, kita dapat mendeteksi adanya kelainan tumbuh kembang anak yang meliputi aspek fisik, psikologi, dan sosial. Makanan memberikan nutrisi serta energi yang penting untuk kesehatan manusia. Korelasi antara zat gizi, makanan, dan pola makan memiliki implikasi terhadap pencegahan dan perkembangan penyakit kronis. Salah satu aspek psikologi yang dapat dipantau oleh orang tua adalah adanya gangguan perilaku makan. Diet dan nutrisi yang diberikan orang tua berpengaruh pada cara dan sikap orang tua terhadap pemberian makanan. Kesadaran tentang perilaku makan anak bermanifestasi pada karies anak usia dini dapat menjadi faktor penyebab gangguan pertumbuhan dan perkembangan anak di kemudian hari. Selain pola makan, teknik dan pembiasaan menyikat gigi turut berkontribusi dalam perkembangan karies anak. Metode pelaksanaan pengabdian ini dilakukan dengan tehnik penyuluhan langsung tentang perilaku makan menggunakan LCD diikuti pelatihan tehnik menyikat gigi. Kesimpulan pengabdian ini yakni pentingnya edukasi perilaku makan dan pelatihan teknik menyikat gigi yang berkasinambungan untuk ibu dan anak. Hasil yang didapatkan dari kegiatan pengabdian ini adalah peningkatan pengetahuan perilaku makan pada ibu, peningkatan pengetahuan mengenai teknik menyikat gigi pada balita dan anak-anak, pencegahan terjadinya ECC pada anak-anak dengan pemberian topical application fluor, bantuan sikat dan pasta gigi pada masyarakat, serta penyerahan media penyuluhan di kantor Desa Paddinging. Kata kunci: early childhood caries, topical application fluor, stunting, diet, perilaku makan Feeding behaviour during growing stage of children is one of the predisposing factors for the development of early childhood caries which generally occurs in preschool children. The period of child development experiences a rapid increase at the age of 0-5 years, which is called the "Golden Age" phase. At this time, we can detect abnormalities in children's growth and development which include physical, psychological and social aspects. Food provides nutrients and energy that are important for human health. The correlation between nutrients, food, and diet has implications for the prevention and development of chronic disease. One psychological aspect that parents can monitor is the presence of eating disorders. The diet and nutrition provided by parents influences the way and attitudes of parents towards providing food. Awareness of children's eating behavior manifested in early childhood caries can be a factor causing disruption to children's growth and development later in life. Apart from diet, toothbrushing techniques and habits also contribute to the development of children's caries. Dental Health Education (DHE) was performed regarding the role of feeding behaviour in children and demonstrating several toothbrusing technique for different stage of children’s age. Tooth brushing technique were also implemented by the mothers of the kids. The preschooler children were also received dental examination and topical application fluor. The conclusion of this service is the importance of education on eating behavior and training in sustainable tooth brushing techniques for mothers and children. Keyword: early childhood caries, topical application fluor, stunting, feeding behaviour, diet
Transformasi Digital Dan Keselamatan Online: Workshop Interaktif Untuk Siswa Internasional As'ad, Ihwana; Salim, Yulita; Azis, Huzain
Open Community Service Journal Vol. 4 No. 1 (2025): Open Community Service Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/ocsj.v4i1.109

Abstract

Anak-anak dan remaja sering menggunakan media sosial dan bermain game secara berlebihan, yang dapat berdampak negatif terhadap kesehatan dan prestasi akademik. Kurangnya kesadaran akan keamanan digital dan etika penggunaan teknologi menjadikan mereka rentan terhadap ancaman siber. Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi digital siswa Sekolah Kebangsaan Syeikh Mohd Idris Al-Marbawi di Malaysia melalui workshop interaktif. Metode pelaksanaan meliputi analisis kebutuhan, penyusunan dan pelaksanaan materi pelatihan, kepada 20 siswa kelas 5. Hasil kegiatan menunjukkan peningkatan pemahaman siswa terhadap penggunaan gadget yang bijak dan etika digital. Kegiatan ini juga mendorong pengembangan kemampuan interpersonal dan kesadaran terhadap keamanan siber.
Evaluation of VGG16 Performance in Multi-Input and Multi-Class Classification of Toraja Buffalo Breeds Manga’, Abdul Rachman; Nanda, As'syahrin; Salim, Yulita
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1203

Abstract

Traditional image classification research has focused on single-input and multiclass approaches. However, these approaches often fail to capture the complexity and diversity of real-world image data. To address the complexity and more diverse variation in data, as well as to improve the classification accuracy of various categories, a multi-input image approach is utilized. With a multi-input multi-class approach, a Transfer Learning model based on VGG16 is trained to identify objects from various perspectives and classify them into one of many predefined classes. The VGG16 architecture in the multi-input and multi-class classification of Toraja Buffalo breeds demonstrates excellent results with an average accuracy of 93.33%. The "Kerbau Lotong Boko" and "Kerbau Bonga Ulu" classes achieved 100% accuracy, while other classes showed high precision, recall, and F1 scores. Despite fluctuations in accuracy and loss during training, the model successfully achieved good convergence and generalization. This research is significant in the field of image classification by introducing a multi-input method capable of capturing richer and more diverse information from complex objects such as Toraja buffalo. It demonstrates that CNN architectures like VGG16 can be adapted to handle more complex classification tasks using a multi-input approach.
Pelatihan dan Pengembangan Konten Website Bagi Pengelola UPT. Managemen Inovasi dan Inkubasi Bisnis UMI Hayati, Lilis Nur; Salim, Yulita; Hermany, Nurul Inayah; Ismail, Wawan
Ilmu Komputer untuk Masyarakat Vol 5, No 1 (2024)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkomas.v5i1.2287

Abstract

UPT.Managemen Inovasi dan Inkubasi Bisnis (MIIB) UMI Memiliki website https://upt.miib.umi.ac.id/ Website menjadi gerbang utama bagi Tenan Inwoll dan Outwall dalam mencari informasi mengenai Kegiatan Bimtek, pelatihan pelatihan, Inkubasi Bisnis Oleh sebab itu, website harus menarik dan pentingnya melakukan pengembangan konten di dalam website, memiliki kewajiban untuk menjaga website MIIB agar tetap update setiap harinya, sehingga tidak ada satupun informasi yang tidak terpublikasikan dengan baik. “Selain itu, website yang informatif dan menarik juga menjadi poin penting dalam penilaian webometrics. Website  MIIB belum mengikuti standar penilaian webometrics sehingga belum banyak berpengaruh terhadap pemeringkatan webometrics UMI. Konten berita yang diposting pada website MIIB belum menggunakan standar SEO. Manajemen pengelolaan website MIIB masih dikelola oleh 1 orang operator. Operator yang ditugaskan tersebut belum mengetahui pengelolaan website berdasarkan standar penilaian webometric. Hal ini menyebabkan belum maksimalnya konten berita yang diposting pada website tersebut Target dalam pelaksanaaan PkM Lektor Fakultas Ilmu Komputer  UMI  sehubungan dengan bagaimana melakukan Sosialisasi Untuk Peningkatan Pemeringkatan Webomtrics dalam WEB UMI dalam UPT.Managemen Inovasi dan Inkubasi Bisnis UMI dan Memberikan Pelatihan dan Pengembangan Konten Website Bagi Pengelola
ANALISIS PERBANDINGAN ROUTING PROTOKOL OPEN SHORTES PATH FIRST (OSPF) DENGAN ENHANCED INTERIOR GATEWAY ROUTING PROTOCOL (EIGRP) Indah, Nur; Salim, Yulita; Satra, Ramdan
ILKOM Jurnal Ilmiah Vol 10, No 1 (2018)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i1.205.92-99

Abstract

Routing adalah proses pemilihan rute terbaik untuk suatu paket data agar dapat sampai ke tujuannya. Proses routing sangat dibutuhkan dalam proses pengiriman  data. Penelitian ini melakukan analisis implementasi routing protocol Enhanced Interior Gateway Routing Protocol (EIGRP) dengan Open Shortest Path First (OSPF). Kinerja jaringan dievaluasi menggunakan software GNS3 dan aplikasi Wireshark dengan memperhatikan parameter Quality of Service (QoS) seperti delay, throughput dan packet loss pada kedua routing protocol yang digunakan. Berdasarkan hasil pengujian maka diperoleh nilai delay sebesar 283,953 ms pada OSPF dan 268,217  ms pada EIGRP, nilai throughput sebesar 3004 bps pada OSPF dan 3162,813 bps pada EIGRP serta nilai packet loss sebesar 9% pada OSPF dan 0% pada EIGRP. Dengan demikian diketahui bahwa kinerja routing protocol EIGRP lebih baik 5,19% untuk nilai delay, 5% untuk nilai throughput dan 100% untuk nilai packet loss daripada kinerja dari routing protocol OSPF yang diimplementasikan pada jaringan PT. Phinisi Global Data.
APLIKASI PENCARIAN LOKASI PANTI ASUHAN DI KOTA AMBON BERBASIS MOBILE Irawati, Irawati; Aswin, Hafiza; Salim, Yulita
ILKOM Jurnal Ilmiah Vol 10, No 3 (2018)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v10i3.371.338-343

Abstract

The diverse population of Ambon City has led to a diversity of spiritual beliefs that can be found in this city, this also has an impact on the orphanages built in Ambon City. Based on the source www.malukuprov.go.id, which is the official address of the Ambon City Government website, there is no information relating to the orphanage. As a result, donors in Ambon City experienced difficulties in getting accurate information about orphanages, because limited information from prospective donors took the initiative by asking the public to obtain information about the local orphanage. The location search application for this orphanage was built using the Location Based Service (LBS) system that can provide information on routes to orphanages to donors through mobile android users equipped with navigation features and display information about the related orphanage to facilitate donors in concluding the orphanage which ones need more donations.
K-Means and K-Medoid in Clustering Analysis of Network Congestion Level Darwis, Herdianti; Purnawansyah, Purnawansyah; Umalekhoa, Alfi Syahrin; Adnan, Adam; Salim, Yulita; Umar, Fitriyani; Raja, Roesman Ridwan; Fajar AR, Muh. Aqil
ILKOM Jurnal Ilmiah Vol 17, No 3 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i3.2083.323-335

Abstract

This research investigates the application of clustering techniques to network congestion data at Universitas Muslim Indonesia, employing a hybrid metric approach based on packet loss and delay. The study utilized two algorithms, K-Means and K-Medoid, applied in a semi-supervised scenario to group 255,147 network data points into 3, 4, and 5 clusters, considering 10 principal variables. During the pre-processing phase, data cleansing was conducted to address missing values, followed by normalization to standardize the scale of numerical variables, thereby preparing the data for the clustering process. Model validation was performed using four cluster evaluation methods: Gap Statistic, Davies-Bouldin Index, and Elbow Method. The evaluation results indicate that both algorithms were capable of forming valid and reliable clusters. However, the K-Means algorithm demonstrated superior performance compared to K-Medoid, particularly when utilizing three Quality of Service variables: throughput, packet loss, and delay. In this configuration, K-Means yielded more stable clusters, a clearer separation between clusters, and a more structured visualization. Consequently, K-Means is considered more optimal for classifying network congestion levels and presents an effective approach for network data segmentation
Evaluating the Effectiveness of TBaWI for Imputation of Missing Rainfall Data Syafie, Lukman; Awangga, Narendra; Salim, Yulita
ILKOM Jurnal Ilmiah Vol 18, No 1 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i1.3273.97-108

Abstract

Daily rainfall data plays an important role in hydrological and climatological analysis, especially in tropical regions characterised by high rainfall variability and sharp seasonal changes. However, observational data often has gaps, which can reduce model accuracy and obscure relevant climatological signals. This study addresses these issues by applying the Trend-Based Adaptive Window Imputation (TBaWI) method, an adaptive imputation approach that considers local temporal trends and seasonal dynamics in estimating missing rainfall values. This method was tested using CHIRPS data for the Makassar region for the period 2014–2023 with synthetic data loss scenarios of 10%, 15%, 20%, and 25%. The results show that TBaWI consistently provides a lower Mean Absolute Error (MAE) value, namely 6.14–7.65 mm, compared to linear interpolation, which produces 6.46–7.75 mm. The SMAPE value of TBaWI is also lower, for example 33.16% in the 15% data loss scenario, compared to interpolation at 35.06%. In addition, this method showed an improvement in the ability to identify dry days through the Zero Hit Rate (ZHR), which reached 60.08% in the 20% data loss scenario, higher than the interpolation of 58.32%, while the Rainy Hit Rate (RHR) remained in a stable range of 79–88%. These findings indicate that TBaWI is more effective in maintaining climatological consistency and numerical accuracy of tropical rainfall data. Further research is expected to integrate spatial aspects and optimise machine learning-based parameters to improve the generalisation of the method under various climatic conditions.
SISTEM PENANDA KEPEMILIKAN FILE DOKUMEN MENGGUNAKAN METODE DIGITAL WATERMARK PADA FILE PENELITIAN DOSEN UNIVERSITAS MUSLIM INDONESIA Salim, Yulita; Azis, Huzain
ILKOM Jurnal Ilmiah Vol 9, No 2 (2017)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v9i2.125.161-166

Abstract

UMI sebagai perguruan tinggi terbesar dan terbaik di Indonesia bagian timur memiliki database yang cukup besar, terutama pada database penelitian dosen. Banyaknya data yang tersimpan memiliki resiko adanya pengambilan dan pengakuan kepemilikan data khususnya data penelitian dosen. Penelitian ini bertujuan untuk merancang sebuah sistem yang dapat memberi penanda kepemilikan pada sebuah dokumen teks penelitian yang dapat digunakan oleh dosen di UMI. Metode penelitian yang dilakukan meliputi identifikasi masalah, studi literature mengenai file dokumen yang akan digunakan sebagai data uji dan metode Digital Watermark sebagai algoritma untuk penanda kepemilikan file dokumen yang diuji, desain aplikasi desktop menggunakan bahasa pemrograman Java dan MySQL sebagai database server. Hasil penelitian ini adalah sistem yang dapat digunakan dosen maupun pihak Lembaga Penelitian dan Pengembangan Sumber Daya (LP2S) UMI untuk memberi tanda kepemilikan pada dokumen agar dapat memberikan layanan tambahan dalam pengecekan kemiripan judul yang telah ada sebelumnya di LP2S.
Backpropagation Neural Network with Combination of Activation Functions for Inbound Traffic Prediction Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Darwis, Herdianti; Azis, Huzain; Salim, Yulita
Knowledge Engineering and Data Science
Publisher : citeus

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

Abstract

Predicting network traffic is crucial for preventing congestion and gaining superior quality of network services. This research aims to use backpropagation to predict the inbound level to understand and determine internet usage. The architecture consists of one input layer, two hidden layers, and one output layer. The study compares three activation functions: sigmoid, rectified linear unit (ReLU), and hyperbolic Tangent (tanh). Three learning rates: 0.1, 0.5, and 0.9 represent low, moderate, and high rates, respectively. Based on the result, in terms of a single form of activation function, although sigmoid provides the least RMSE and MSE values, the ReLu function is more superior in learning the high traffic pattern with a learning rate of 0.9. In addition, Re-LU is more powerful to be used in the first order in terms of combination. Hence, combining a high learning rate and pure ReLU, ReLu-sigmoid, or ReLu-Tanh is more suitable and recommended to predict upper traffic utilization.
Co-Authors Admojo, Fadhila Tangguh Adnan, Adam Anas, Risnayanti As'ad, Ihwana Aswin, Hafiza Awangga, Narendra Aziz, Huzain Bangsawan, Muhammad Hari Dwiyanti, Sri Ulfa Ericha Apriliyani Fajar AR, Muh. Aqil Febriany, Mila Haviluddin Haviluddin Hermany, Nurul Inayah Huzain Azis Irawati Irawati Ismail, Wawan jabir, sitti rahmah lilis nurhayati Manga, Abdul Rachman Mashur, Mulyanul Ilmi Muhammad Arfah Asis Muis, Ismunandar Nanda, As'syahrin Nur bahri, Nur Bahri Nur Indah, Nur Nurul A'ayunnisa Pamewa, Kurniaty Purnawansyah Purnawansyah Puspitasari, Yustisia Raja, Roesman Ridwan Ramdan Satra Ramdaniah, Ramdaniah Rasyid, Reskyanto Syafie, Lukman Umalekhoa, Alfi Syahrin Umar, Fitriyani Utami, Aulia Putri