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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan BAREKENG: Jurnal Ilmu Matematika dan Terapan J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Indonesian Journal of Mathematics Education Specta Journal of Technology Buletin Pembangunan Berkelanjutan Jurnal Teknik Informatika (JUTIF) Journal Social Science And Technology For Community Service Community Empowerment Journal Mathematical Journal of Modelling and Forecasting Indonesian Journal of Statistics and Its Applications
Primadina Hasanah
Institut Teknologi Kalimantan
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Pelatihan Desain Berbasis Canva dalam Upaya Pengembangan Kreativitas Pelajar di Kawasan Rt 05 Balikpapan Selatan Luh Made Wisnu Satyaninggrat; Primadina Hasanah
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 1 (2024): Volume 5, Nomor 1, March 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i1.3639

Abstract

Di wilayah Daksa Timur Sepinggan di Balikpapan Selatan, banyak siswa SMA/SMK dan setara yang masih kurang dalam pengetahuan dan penggunaan teknologi informasi, terutama dalam menggunakan aplikasi Canva. Tujuan dari kegiatan ini adalah agar siswa-siswa tersebut dapat mahir dalam mendesain menggunakan Canva, yang akan membantu dalam kegiatan belajar mereka dan juga meningkatkan keterampilan mereka untuk masa depan di dunia kerja. Metode yang digunakan dalam pelaksanaan ini meliputi identifikasi masalah, merumuskan solusi, persiapan, dan implementasi. Terdapat peningkatan pemahaman tentang aplikasi Canva di kalangan pelajar RT 05 sebesar 73%, dan juga terlihat bahwa mereka dapat menerapkan prinsip-prinsip dasar desain grafis dalam membuat tata letak yang estetis dan menggunakan elemen visual yang menarik. Sebanyak 83% responden sangat puas dan 17% puas dengan adanya pelatihan Aplikasi Canva.
Peningkatan mutu pendidikan di Yayasan Darush Sholihin Balikpapan Utara Fitriani, Yustina; Hasanah, Primadina; Sasikirana, Sabina; Isnaniah, Ukhti Nurul; Achmad, Adha Karamina; Auliya, Annisa Nur
Community Empowerment Journal Vol. 2 No. 3 (2024)
Publisher : CV. Yudhistt Fateeh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61251/cej.v2i3.60

Abstract

Yayasan Darush Sholihin merupakan yayasan yang bergerak dalam bidang pendidikan. Dalam proses pelaksanaan program dan kegiatan yang dijalankan, pelayanan pendidikan yang diberikan kepada anak-anak masih belum optimal, terutama terkait Sumber Daya Manusia (SDM) dan fasilitas yang belum memadai. Dalam upaya mengatasi hal tersebut, tim pengabdian kepada masyarakat berupaya untuk membantu dan memberikan dukungan yang dapat meningkatkan mutu pendidikan Yayasan Darush Sholihin. Metode pelaksanaan program ini dimulai dari survei, kemudian perancangan program, selanjutnya pelaksanaan program, dan evaluasi program. Hasil yang diperoleh dari program pengajaran berdasarkan hasil pre-test dan post-test adalah terdapat peningkatan sebesar 7.5 dari rata-rata nilai murid. Hal ini menunjukkan bahwa program pengajaran telah berhasil meningkatkan kemampuan belajar siswa. Data hasil survei juga menunjukkan sebagian besar orang tua murid yayasan merasa sangat puas terhadap empat aspek yaitu kualitas pengajaran dan pendampingan meningkat, pengetahuan akademik anak-anak berkembang, peningkatan fasilitas yayasan memuaskan, dan pemberian dukungan dalam memahami dan menangani kebutuhan khusus murid lebih diperhatikan. Dengan hasil yang positif seperti peningkatan nilai dan kepuasan orang tua, yayasan dapat terus mengembangkan dan meningkatkan mutu pendidikan untuk membuka potensi keberhasilan siswa di masa depan. Yayasan Darush Sholihin is a foundation engaged in the field of education. In the process of implementing programs and activities, the educational services provided to children are still not optimal, especially concerning human resources and inadequate facilities. In an effort to address this, the community service team strives to assist and provide support to enhance the quality of education at Yayasan Darush Sholihin. The implementation method of these programs starts with surveys, followed by designing the programs, Implementing the programs, and evaluating the programs. The results obtained from the teaching program based on pre-test and post-test results showed an improvement of 7.5 in the average student scores. This indicates that the teaching program has successfully enhanced students' learning abilities. Survey data also indicates that most of parents are very satisfied with four aspects: improved teaching quality and support, academic knowledge development in children, satisfactory improvement in foundation facilities, and increased support in understanding and addressing the special needs of students. With positive outcomes such as increased scores and parental satisfaction, the foundation can continue to develop and improve the quality of education to give a big chance for student success in the future.
Electricity Load Forecasting in East Kalimantan on Religious Holidays Using SARIMA Primadina Hasanah; Chindy Alvionita Sari; Syalam Ali Wira Dinata
Mathematical Journal of Modelling and Forecasting Vol. 1 No. 2 (2023): December 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v1i2.15

Abstract

The availability of electrical energy is one of the main focus in energy security in East Kalimantan. Power outages often occur in East Kalimantan both in weekdays and holidays. Some previous research had conducted to estimate the electricity demand during certain years. However, there are some particular events which are interesting to be carried out. For example, the electricity demands on holiday events such as the religious holidays which are important moment among Indonesian. This research was conducted to find the best model to predict how many electrical loads in East Kalimantan should be prepared by Indonesian’s State Electricity Company (PT PLN) in order to ensure comfortable for communities on religious holidays. Two sample religious holidays have been taken; Eid al-Fitr and Christmas Day, then the forecasting was carried out using SARIMA model on historical hourly data from 2015-2018. The result of this research shown that the best SARIMA model on Eid al-Fitr is SARIMA (0,2,1)(0,1,0)24 with 16,99% of MAPE and the best SARIMA model on Christmas Day is SARIMA (0,2,1)(0,1,0)24 with 8.68%.of MAPE.
OPTIMIZATION OF BACKTRACKING ALGORITHM WITH HEURISTIC STRATEGY FOR LOGIC-BASED SORTING PUZZLE GAME SOLVING Nuranti, Eka Qadri; Intizhami, Naili Suri; Hasanah, Primadina
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.4031

Abstract

Puzzle Game Sorting is a logic-based puzzle game where players must transfer colored balls into tubes until each tube contains only one color. Although it appears simple, the game becomes increasingly challenging at higher levels, testing players’ logical thinking and patience. This study proposes using the backtracking algorithm combined with optimization strategies, such as conflict heuristics and lookahead, to address players’ challenges at advanced levels. The test results indicate that the optimized backtracking algorithm can solve the game faster and with more efficient steps compared to manual methods. Specifically, heuristic optimization strategies significantly improved performance, reducing execution time by up to 91.4% and the number of steps by up to 76.9% at the most complex levels. These findings demonstrate that combining the backtracking algorithm and optimization strategies is an effective solution for solving puzzles in Sorting, particularly at levels with increasing complexity.
PERAMALAN SUHU UDARA DAN DAMPAKNYA TERHADAP KONSUMSI ENERGI LISTRIK DI KALIMANTAN TIMUR Susanti, Lisa; Hasanah, Primadina; Winarni, Winarni
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.3 KB) | DOI: 10.30598/barekengvol14iss3pp397-410

Abstract

The increase in air temperature due to climate change and global warming has become a major concern for policy makers, one of which is the government of East Kalimantan. Electric energy consumption has a close relationship with economic development in East Kalimantan. So it is necessary to forecast the temperature of air in order to predict the consumption of electrical energy in the future. The purpose of this study was to determine the forecasting of air temperatures in East Kalimantan, namely the cities of Balikpapan, Samarinda and Berau and to determine the relationship between air temperature and electricity consumption in East Kalimantan. In this study, the method used is the ARIMA (Autoregressive Integrated Moving Average) and multiple linear regression methods. The results of the analysis using the ARIMA method obtained the best models for the cities of Balikpapan, Samarinda and Berau respectively, namely ARIMA(1,1,1), ARIMA(1,1,1) and ARIMA(3,1,0). Based on the results of multiple linear regression obtained R-square value of 39%, which mean that the influence of air temperature on the consumption of electrical energy is 39%. From the results of the t test and F test, it is known that air temperature has a significant effect on the increase in electricity consumption in East Kalimantan
Comparison of Short-Term Load Forecasting Based on Kalimantan Data Syalam Ali Wira Dinata; Muhammad Azka; Primadina Hasanah; Suhartono Suhartono; Moh Danil Hendry Gamal
Indonesian Journal of Statistics and Applications Vol 5 No 2 (2021)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i2p243-259

Abstract

This paper investigates a case study on short term forecasting for East Kalimantan, with emphasis on special days, such as public holidays. A time series of load demand electricity recorded at hourly intervals contains more than one seasonal pattern. There is a great attraction in using a modelling time series method that is able to capture triple seasonalities. The Triple SARIMA model has been adapted for this purpose and competitive for modelling load. Using the least squares method to estimate the coefficients in a triple SARIMA model, followed by model building, model assumptions and comparing model criteria, we propose and demonstration the triple Seasonal Autoregressive Integrated Moving Average model with AIC 290631.9 and SBC 290674.2 as the best model for this study. The Triple seasonal ARIMA is one of the alternative strategy to propose accurate forecasts of electricity load Kalimantan data for planning, operation maintenance and market related activities.
APPLICATION OF K-MEANS AND FUZZY C-MEANS ALGORITHMS TO DETERMINE FLOOD VULNERABILITY CLUSTERS (CASE STUDY: KUTAI KARTANEGARA REGENCY) Nurjanah, Desi; Anggriani, Indira; Hasanah, Primadina
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0821-0836

Abstract

Flooding show situation where areas that are not usually inundated, such as farmland and settlements, and city district areas, become inundated due to water. Floods can to occur when the flow of water on rivers or waste channels overrun its normal measurements. This study describes the K-Means and Fuzzy C-Means Algorithm methods for clustered flood-prone areas built on Districts in Kutai Kartanegara Regency. This research begins with data collection in the character of rainfall, land elevation, the number of victims affected, the quantity of damaged houses, the quantity of damage to facilities and the quantity of flood events. Before the data is processed using these two methods, data normalization will be carried out in a dataset which aims to shape the data into positional values from the same range. K-Means and Fuzzy C-Means are accustomed to identifying groups in each sub-district in Kutai Kartanegara Regency that have a level of vulnerability to floods. At this stage, 3 initial clusters were carried out, namely high, medium, and low vulnerability clusters. The validity test produces a Silhouette Index value of 0.574283589 and a Partition Coefficient Index of 0.78905. The outcome of the K-Means method with the standard deviation within and between clusters are 0.5131 and the Fuzzy C-Means method for the standard deviations within and between clusters is 0.3489. based uppon value of the silhouette index, partition coefficient index and standard deviation within and between clusters it results that Fuzzy C-Means is the best method of this study.
Co-Authors Achmad, Adha Karamina Anggriani, Indira Annisa Rahmita Soemarsono Annisa Rahmita Soemarsono Auliya, Annisa Nur Chindy Alvionita Sari Eka Qadri Nuranti Filiana, Firilia Fitria, Irma Hargiani, Fransisca Xaveria Ida Ayu Putu Sri Widnyani Indira Anggriani Irma Fitria Isnaniah, Ukhti Nurul Lisa Susanti, Lisa Luh Made Wisnu Satyaninggrat Moh Danil Hendry Gamal Muhammad Azka Muhammad Azka Muhammad Azka Naili Suri Intizhami Nanda Septiana Nashrul Millah NIA FEBRIANTI, NIA Nurjanah, Desi Sasikirana, Sabina Shadrina Khairani Arinda Sigit Pancahayani Siti Qomariyah Nasir Subchan, Subchan Suhartono Suhartono Syalam Ali Wira Dinata Syalam Ali Wira Dinata Winarni Winarni