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All Journal Jurnal Ilmu Pendidikan JMM (Jurnal Masyarakat Mandiri) Data Science: Journal of Computing and Applied Informatics Jurnal Sistem Komputer dan Informatika (JSON) Yayasan Cita Cendikiawan Al Khwarizmi Djtechno: Jurnal Teknologi Informasi Majalah Ilmiah UPI YPTK Journal of Software Engineering, Information and Communication Technology Jurnal Pengabdian Masyarakat Gemilang (JPMG) Wahana Deli Sains Informatika Hanif Journal of Information Systems Journal of Mathematics, Computation and Statistics (JMATHCOS)
Dian Septiana
Statistika, Universitas Negeri Medan
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Wildfires Classification Using Feature Selection with K-NN, Naïve Bayes, and ID3 Algorithms Ichwanul Muslim Karo Karo; Sisti Nadia Amalia; Dian Septiana
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 3, No 1: June 2022
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v3i1.47537

Abstract

Wildfires are a problem with a high intensity of occurrence and recurrence in Indonesia. If this problem is not properly addressed, it will threaten air circulation in the world. The source of fire can be natural or man-made. As a preventive measure for the widespread spread of fire, it is necessary to investigate the type of fire early on so that it can be determined the type of fire with the highest priority to be extinguished immediately. The process of identifying fire types can be done by classification. This research aims to classify the type of fire with three algorithms, namely K-Nearest Neighbour (K-NN), Naïve Bayes and Iterative Dichotomise 3 (ID3). The forest fire dataset was obtained from the Global Forest Watch (GFW) platform. Before entering the classification stage, the dataset went through a feature selection process, where attributes meeting the threshold were selected for the classification process. The performance of ID3 algorithm is superior compared to other algorithms with an accuracy of 65.83, precision 67.4, recall 67.02 and F1 67.21 per cent. Finally, the feature selection process contributes positively to the classification process, increasing the model performance by 2-5 per cent.
COMPARATION BETWEEN FEED FORWARD NEURAL NETWORK (FFNN) AND SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) IN FORECASTING SEASONAL TIME SERIES DATA Dian Septiana; Melly Br Bangun Melly Br Bangun
Deli Sains Informatika Vol. 2 No. 2 (2023): Artikel Riset Juni 2023
Publisher : LPPM Universitas Deli Sumatera

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

Abstract

Seasonal patterns in time series data are periodic and recurring patterns caused by certain factors such as weather, holidays, repetition of promotions, or changes in the economic climate. Good data forecasting is very important for making decisions in the business sector, such as retail prices, marketing, production and other business sectors. There are several approaches that can be taken to analyze time series data that has a seasonal or trending pattern. Among them is the classical approach which decomposes seasonal and non-seasonal factors, then forecasts with certain assumptions. Then there is also an approach using artificial intelligence, in this case a more flexible feed-forward neural network is used as a tool for forecasting time series data. In this study the data used is data with a regular seasonal pattern 12. For data with a pattern like this SARIMA (1,1,1)(0,1,1)12 with a MAPE of 1.775% gives better results than FFNN 12-10-1 which produces a MAPE value of 7.5226%.
Sosialisasi Internet Sehat untuk Kalangan Remaja pada Sekolah di Pedesaan Adidtya Perdana; Nurul Maulida Surbakti; Dian Septiana; Panggabean, Suvriadi
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 2 No. 5: November 2022
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/jpmg.v2i5.76

Abstract

Internet merupakan salah satu teknologi yang sangat berkembang sekarang ini. Namun penggunaan internet di kalangan remaja terutama pelajar sekolah menengah sering di salah gunakan sehingga dapat memberikan dampak negatif. Biasanya remaja maupun anak-anak menggunakan internet untuk membuka media sosial seperti facebook, twitter, instagram, dan lain sebagainya, bermain game online, dan yang lebih parahnya membuka situs-situs yang mengandung unsur pornografi. Hal ini tidak dapat dibiarkan terus terjadi dikalangan remaja maupun anak-anak. Untuk itu perlu dilakukan pembatasan terhadap penggunaan internet dengan menerapkan penggunaan internet sehat. Tujuan dalam melaksanakan pengabdian masyarakat ini adalah dengan memainkan peran internet dalam penyampaian informasi yang cepat agar nantinya siswa dapat menggunakan internet sebagai sarana pembelajaran yang tepat baik dan penggunaan internet yang tepat guna, dan tim juga memberikan sosialisasi secara interaktif. Metode pelaksanaan kegiatan yang dilakukan di ruangan kelas MTs Ar-Rahman Stabat adalah dengan memberikan ceramah, dan diikuti dengan contoh-contoh serta animasi agar para siswa dapat memahami lebih cepat. Hal ini dilakukan adalah untuk membangkitkan motivasi diri yang dimiliki oleh para siswa serta diiringi humor-humor singkat agar siswa-siswi tersebut tidak bosan dengan materi yang diberikan, pemberian materi diakhiri dengan sesi tanya jawab, dengan tahapan kegiatan yaitu Tahap Pra-pelaksanaan, Tahap Pelaksanaan dan Tahap Evaluasi. Hasil dari kegiatan pelatihan adalah Para siswa-siswi di MTs tersebut memahami dampak negatif dan positif dari penggunaan internet dan cara menghindari serta menyikapi dampak-dampak tersebut.
Animated Mathematics Learning Media on guru.tesonlineku.com using Plotagon Story and Lectora Inspire Sagala, Prihatin Ningsih; Septiana, Dian; Widyastuti, Eri
Jurnal Ilmu Pendidikan Vol 30, No 1 (2024): June
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um048v30i1p29-39

Abstract

This research aims to develop animated story-learning media that helps students improve their understanding of mathematical concepts. This research uses the ADDIE development (R and D) method, which consists of analysis, design, development, implementation, and evaluation stages. The sample research subjects consisted of 6 experts, two material, media, and language validator experts each, one teacher, 5 and 147 class VII students who assessed the practicality and effectiveness of the product being developed. Data was collected through expert validation, interviews with teachers, teacher and student response tests, and tests on students. At the same time, the N-Gain test was used to evaluate media effectiveness. Expert validation results show that the criteria are very valid, with an average score of 89 percent. The teacher and student response test showed an average score of 86 percent, which shows that the animated story media is practically used for mathematics learning. The N-Gain test of 67 percent shows that students' ability to understand mathematical concepts is increasing. Therefore, using animated stories to develop skills in understanding mathematical concepts is feasible, practical, and effective
Pemanfaatan Aplikasi Geogebra dalam Pembelajaran Matematika di Sekolah Menengah Kejuruan Surbakti, Nurul Maulida; Dewi, Sri; Septiana, Dian; Farhana, Nurul Ain; Perdana, Adidtya
Dedikasi Sains dan Teknologi (DST) Vol. 3 No. 2 (2023): Dedikasi Sains dan Teknologi : Volume 3 Nomor 2, Nopember 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v3i2.3008

Abstract

Berdasarkan data yang diperoleh, terlihat bahwa saat ini penggunaan komputer dalam proses pembelajaran terbatas pada penggunaan PowerPoint. Para guru mata pelajaran matematika menghadapi tantangan dalam menciptakan materi dan alat bantu pembelajaran yang efektif. Untuk mengatasi masalah ini, salah satu solusi yang diusulkan adalah dengan memberikan pelatihan penggunaan aplikasi Geogebra kepada guru-guru matematika. Pelatihan ini bertujuan untuk meningkatkan pemahaman guru terkait peran media pembelajaran dalam pembelajaran matematika dan untuk meningkatkan pengetahuan serta keterampilan mereka dalam memanfaatkan media pembelajaran virtual (mathlet) yang interaktif dan efektif. Pendekatan yang akan diterapkan dalam pelatihan ini mencakup beberapa tahap, seperti observasi langsung, wawancara, presentasi, dan sesi tanya jawab. Diharapkan bahwa hasil dari pelatihan ini akan membawa berbagai manfaat, termasuk peningkatan kualitas proses pembelajaran yang sesuai dengan pengetahuan yang diperoleh dalam pelatihan, peningkatan kemampuan guru dalam berkreasi dan berinovasi dalam merancang pembelajaran, pemahaman yang lebih mendalam tentang media pembelajaran virtual, keterampilan guru dalam menggunakan aplikasi Geogebra untuk membuat media pembelajaran virtual, serta kemampuan guru dalam mengembangkan materi visual, bahan ajar, dan instrumen penilaian yang relevan dengan materi aljabar dan geometri.
Forecasting Rice Prices with Holt-Winter Exponential Smoothing Model Septiana, Dian
Hanif Journal of Information Systems Vol. 1 No. 2 (2024): February Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v1i2.17

Abstract

Rice, as a staple food, plays a crucial role in global food security. Accurate forecasting of rice prices is essential for policymakers, farmers, and consumers alike. This article explores the application of the Holt-Winter exponential smoothing model to predict rice prices. Holt-Winter method is chosen for its ability to capture both trend and seasonality in time series data, which are prominent features in agricultural commodity prices such as rice. The study analyzes historical price data, identifies trends, seasonality, and incorporates smoothing parameters in additive and multiplicative methods. Results indicate that additive method of Holt-Winter exponential smoothing provides a better performance. This research contributes valuable insights to the field of agricultural economics and informs strategies for managing food supply chains and market stability.
Pelatihan Pemanfaatan Google Sites sebagai Media Pembelajaran di SMK Dharma Pancasila dewi, sri; Perdana, Adidtya; Harliana, Putri; Maulidina Fadila, Putri; Ain Farhana, Nurul; Septiana, Dian; Maulida Surbakti, Nurul
Majalah Ilmiah UPI YPTK Vol. 31 (2024) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v31i1.160

Abstract

Teknologi berkembang  sangat pesat begitu pula dengan dunia pendidikan. Pendidikan merupakan upaya pengembangan potensi sumber daya manusia melalui proses pembelajaran. Tujuan utama dari proses pembelajaran di sekolah adalah menciptakan suasana belajar yang baik dan menyenangkan, membangkitkan semangat dan mendorong mereka untuk selalu giat belajar, karena proses belajar yang baik dan menyenangkan akan memberikan dampak positif terhadap tercapainya hasil pembelajaran yang optimal. Pemilihan metode pembelajaran yang tepat merupakan salah satu cara menciptakan proses pembelajaran menjadi lebih menarik. Salah satu metode pembelajaran yang dapat meningkatkan proses belajar yaitu pemilihan media pembelajaran. Saat ini sudah banyak pilihan teknologi informasi yang dapat digunakan untuk diterapkan dalam proses pembelajaran. Salah satu media pembelajaran yang dapat digunakan adalah Google Sites. Google Sites merupakan salah satu dari sekian banyak produk Google yang digunakan sebagai alat pembuat website secara gratis sehingga siapapun dapat menggunakan atau membuat membuat website dengan memanfaatkan Google Sites. Penggunaan Google Sites dapat dijadikan sebagai solusi  memudahkan akses informasi dengan memanfaatkan jaringan internet. Tujuan dilakukan kegiatan pelatihan ini adalah peningkatan softskill Guru SMK Dharma Pancasila untuk membangun sebuah website secara gratis dengan memanfaatkan Google Sites. Hasil dari kegiatan pelatihan ini setiap guru mampu menggunakan dan mengembangkan website dengan memanfaatkan Google Site. Melalui kegiatan ini juga telah membantu  pihak sekolah dalam menggunakan media pembelajaran yang lebih variatif yang tersedia secara gratis melalui Google Sites sehingga siswa dan guru dapat mengembangkan pembelajaran yang lebih baik
Hybrid DAC-GA and K-Means for Spatial Clustering of Stunting Risk in North Sumatra Andy Satria; Ibnu Rusydi; Dian Septiana; Fanny Ramadhani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i1.9071

Abstract

Stunting continues to pose a severe global health concern, particularly in Indonesia, where prevalence rates persist above international standards despite recent advances in reduction initiatives. Accurately documenting the regional variation of stunting is critical to facilitate targeted interventions and successful policymaking. This paper offers a hybrid clustering framework that merges the classic K-Means approach with the Dynamic Artificial Chromosomes Genetic approach (DAC-GA) to increase the resilience and reliability of spatial analysis. The dataset used combines demographic and population statistics from the Central Bureau of Statistics (BPS), strategic policy documents from the Regional Medium-Term Development Plan (RPJMD) of North Sumatra, and health indicators including stunting prevalence data from the Ministry of Health of the Republic of Indonesia. The research approach consists of four primary phases: data preparation, clustering model construction, cluster evaluation, and geographical visualization. Three evaluation metrics Sum of Squared Errors (SSE), Davies–Bouldin Index (DBI), and Silhouette Coefficient were applied to validate clustering performance. Results demonstrate that DAC-GA dynamically determined the ideal number of clusters at k=2 in just 1.171677 seconds, classifying Kota Medan and Deli Serdang into the low-risk cluster, while all other districts were consistently put into the high-risk cluster. Both DAC-GA and standard K-Means yielded similar spatial maps, giving significant methodological validation and strengthening the dependability of the findings. The study reveals not just the technical advantages of DAC-GA in maximizing clustering but also its practical utility in guiding spatially targeted health interventions. Future research is recommended to add dimensionality reduction utilizing Principal Component Analysis (PCA) to improve computing efficiency and enhance the interpretability of clustering results.
INTEGRASI TEKNOLOGI INFORMASI UNTUK DIGITALISASI BISNIS DAN MANAJEMEN PRODUKSI UMKM SILMARILS Fanny Ramadhani; Dian Septiana; Andy Satria
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 5 (2025): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i5.34586

Abstract

Abstrak: UMKM Silmarils di Kota Medan menghadapi permasalahan pencatatan inventori manual, ketiadaan sistem Key Performance Indicator (KPI), pemasaran yang masih bergantung pada marketplace pihak ketiga, serta proses pemotongan roti yang manual. Program pengabdian ini bertujuan mengintegrasikan teknologi digital untuk meningkatkan efisiensi dan daya saing. Metode meliputi sosialisasi, penyuluhan, dan pelatihan dengan 14 peserta inti. Evaluasi dilakukan melalui observasi, wawancara, dan angket berisi 14 pertanyaan yang mencakup aspek relevansi, pelaksanaan, manfaat dan hasil, serta dampak dan kepuasan. Target minimal satu orang peserta memahami alur sistem tercapai dengan pemilik UMKM yang sudah mampu memahami alur dan mengoperasikan sistem, sementara karyawan masih dalam tahap adaptasi. Pada aspek produksi, mesin pemotong roti otomatis meningkatkan efisiensi waktu pemotongan 1 roti tawar sebesar 98,3% dengan hasil seragam. Seluruh responden menilai program relevan, bermanfaat, dan dapat langsung diterapkan, dengan 100% menyatakan keterampilan baru digunakan dalam pekerjaan harian. Program ini berdampak nyata pada peningkatan hardskill, efisiensi operasional, serta potensi nilai ekonomis UMKM.Abstract: UMKM Silmarils in Medan faces challenges of manual inventory recording, the absence of a Key Performance Indicator (KPI) system, marketing that still relies on third-party marketplaces, and manual bread cutting processes. This community service program aims to integrate digital technology to enhance efficiency and competitiveness. Methods included socialization, counseling, and training with 14 core participants. Evaluation was carried out through observation, interviews, and a questionnaire consisting of 14 questions covering aspects of relevance, implementation, benefits and outcomes, as well as impact and satisfaction. The target of having at least one participant understand the system workflow was achieved, as the UMKM owner successfully operated the system, while the employees are still in the process of adaptation. Evaluation was carried out through observation, interviews, and satisfaction surveys. The results showed improved digital skills among participants in operating the web-based inventory system, KPI dashboard, and online store management. In terms of production, the automatic bread slicer increased cutting efficiency by 98.3% with uniform results. All respondents rated the program relevant, useful, and directly applicable, with 100% reporting that the new skills were applied in daily work. The program had a tangible impact on hardskill development, operational efficiency, and the economic potential of UMKM.
Spatial Clustering Analysis of Stunting in North Sumatra Based on Environmental Factors Using K-Means Algorithm Fanny Ramadhani; Dian Septiana; Sisti Nadia Amalia; Putri Maulidina Fadilah; Andy Satria
Data Science: Journal of Computing and Applied Informatics Vol. 9 No. 2 (2025): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v9.i2-17179

Abstract

This research aims to analyze the spatial grouping of stunting events in North Sumatra based on environmental factors using the K-Means algorithm. The data used in this research includes the incidence of stunting, environmental factors (such as access to health services, living environment conditions, water use and sanitation), and spatial data (geographical coordinates). The data comes from Basic Health Research (RISKESDAS 2018, then processed and normalized. The elbow method and silhouette analysis are used to determine the optimal number of clusters, resulting in four different clusters. The application of the K-Means algorithm produces the following cluster characteristics: Cluster 1, with good environmental conditions and access to health services, shows low levels of stunting; Cluster 2, with moderate environmental conditions, shows moderate levels of stunting; Cluster 3, which is characterized by poor living conditions and limited access to health services, has levels high stunting; and Cluster 4, with varied environmental conditions but very limited access to health and sanitation services, also shows a high stunting rate. Validation using the Silhouette Coefficient produces an average score of 0.65 which indicates good clustering quality shows that environmental factors, access to health services, and sanitation conditions have a significant impact on the incidence of stunting. Based on these findings, policy and intervention recommendations are focused on Clusters 3 and 4, which have high stunting rates. The interventions carried out include increasing access and quality of nutrition, health services, sanitation conditions, economic empowerment, and health education.
Co-Authors Ade Andriani Adidtya Perdana, Adidtya Andy Satria Andy Satria ARNAH RITONGA Arnita Arnita Arnita Arnita Diah Retno Wahyuningrum Dinda Kartika Eri Widyastuti Erita Astrid Fahmi Ashari S. Sihaloho Fanny Ramadhani Fanny Ramadhani Ibnu Rusydi Ichwanul Muslim Karo Karo Maulida Surbakti, Nurul Maulidina Fadila, Putri Melly Br Bangun Muhammad Ashari Nadrah Afiati Nadrah Afiati Nasution Nurul Ain Farhana Nurul Maulida Surbakti Nurul Maulida Surbakti Panggabean, Suvriadi Prihatin Ningsih Sagala Putri Maulidina Fadilah Ramadhani, Fanny Riza Pahlawan Said . Iskandar Sisti Nadia Amalia Sisti Nadia Amalia Sisti Nadia Amalia Sri Dewi Sri Dewi Sri Dewi