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Nagari Tanjung Balik Menuju Digitalisasi Data Syafriandi, Syafriandi; Amalita, Nonong; Vionanda, Dodi; Fitria, Dina; Zilrahmi, Zilrahmi; Yarman, Yarman
Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 22, No 3 (2022): Suluah Bendang: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sb.03280

Abstract

Kegiatan pembangunan hendaknya dilaksanakan dengan menggunakan perencanaan yang tepat. Perencanaan ini memerlukan informasi yang diperoleh dengan adanya data.  Nagari Tanjung Balik Kecamatan X Koto Singkarak merupakan salah satu nagari yang termasuk dalam Kecamatan X Koto Singakarak, Kabupaten Solok. Untuk perencanaan pembangunan, nagari ini memerlukan adanya informasi dan data. Namun, nagari ini tidak memiliki akses ke data sektoral yang terhimpun di BPS. Di sisi lain, nagari ini juga dihadapkan pada keterbatasan sumber daya yang memiliki pengetahuan tentang Statistika. Oleh karena itu, tim pengabdi melaksanakan Kegiatan Pengabdian kepada Masyarakat di Nagari Tanjung Balik untuk membantu mengatasi kedua masalah di atas.  Dari kegiatan pengabdian ini, pemerintah Nagari Tanjung Balik memiliki database yang terbaru, akurat, dan mudah diakses yang bisa digunakan untuk mengetahui informasi yang detail tentang masyarakat nagari ataupun untuk memetakan potensi dan masalah di nagari. Begitu pula, dari kegiatan ini,  pemerintah nagari telah memiliki kader yang bisa melakukan pengumpulan data di waktu yang akan datang dengan menggunakan aplikasi RSN dan mengelola database yang telah dibangun.
Comparison of K-Means and K-Medoids in Clustering Regency/City in West Sumatra Province Based on Environmental Indicators Robiati, Silfi; Fitria, Dina; Vionanda, Dodi; Sulistiowati, Dwi
Indonesian Journal of Statistics and Applications Vol 8 No 2 (2024)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v8i2p191-201

Abstract

The Environmental Quality Index is an index that describes the condition of environmental management results nationally, and generalises from all regencies/cities and provinces in Indonesia. Although the Environmental Quality Index of West Sumatra Province has increased, there are still regencies/cities in West Sumatra Province have decreasing Environmental Quality Index. Therefore, it is necessary to conduct further analysis, one of which is to form a group of regencies/cities into a group according to their similarities or characteristics. This study aims to compare the K-Means and K-Medoids methods in grouping regencies/cities in West Sumatra Province based on environmental quality indicators in 2023. The data used in this research is secondary data, which is orginally the publication of Central Bureau of Statistics namely Sumatera Barat Dalam Angka in 2024. The research compares the K-Means cluster method and the K-Medoids cluster method. It concludes K-Means better than K-Medoids methods based on DB index with three clusters. First cluster has 12 regencies/cities with a high average air quality index, the second cluster has 6 regencies/cities that have small amounts of waste, and the third cluster has 1 city with a high average water quality index and land quality index, but a large amount of waste.   Keywords: Cluster, Comparison, Environmental, K-Means, K-Medoids
Application of Area Sampling Frame for Digitizing Household Data in Talawi Mudiak to Support Sustainable Development Goals Syafriandi, Syafriandi; Fitria, Dina; Amalita, Nonong; Kurniawati, Yenni; Permana, Dony; Fitri, Fadhilah; Martha, Zamahsary; Mukhti, Tessy Octavia
Pelita Eksakta Vol 8 No 2 (2025): Pelita Eksakta, Vol. 8, No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol8-iss2/293

Abstract

Desa Talawi Mudiak menghadapi tantangan dalam pengelolaan data kependudukan. Meskipun mereka telah menyusun RPJMD 2022-2027 yang mengacu pada SDG's, pendataan yang dilakukan masih terbatas pada aspek kependudukan dan demografi. Padahal, pemutkhiran data harus mencakup 17 pilar SDg's agar dapat digunakan sebagai dasar dalam perencanaan pembangunan desa. Selain itu, keterbatasan akses internet dan kurangnya pemanfaatan teknologi informasi juga menjadi kendala pengembangan sistem informasi desa yang lebih komprehensif. Program Studi S1 Statistika hadir dalam menjembatani pencapaian beberapa pilar itu melalui pemutakhiran data hingga dilitalisasinya. Kegiatan diawali dengan pengumpulan data awal, perhitungan kerangka sampling, pelaksanaan survei, dan pemrosesan data pasca survei hingga diperoleh suatu kesimpulan yang dapat digunakan untuk pembangunan desa. Kegiatan melibatkan banyak pihak, mulai dari dosen program studi, perangkat desa, mahasiswa, dan masyarakat. Hasil yang diperoleh berupa data yang mutakhir dan sebuah buku berisikan kondisi Desa Talawi Mudiak tahun 2025.
SISTEM KONTROL PEMANTAU KEBERSIHAN PENDINGIN UDARA BERBASIS MIKROKONTROLLER NODEMCU ESP-32 Pratama, Muhammad Nuryan; Atika, Ratna; Fitria, Dina
JURNAL TELISKA Vol 18 No III (2025): TELISKA November 2025
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17768986

Abstract

Room temperature and humidity in tropical climates, such as in Indonesia, are generally controlled using air conditioning (AC), which has now become a basic necessity. This study aims to improve the durability and energy efficiency of air conditioning systems through the application of microcontroller-based devices. Monitoring is carried out by measuring the AC electrical current, where the normal value is in the range of 3.2–3.6 amperes, while when the current exceeds 4 amperes, the system automatically cuts off the electricity supply. In addition, a water level control sensor with a maximum limit of ±4 cm is installed on the inner water tank. If the water level reaches ±3 cm and touches the sensor, the system will automatically stop the AC operation. To support remote monitoring, the system is equipped with an Arduino NodeMCU ESP-32 module integrated with the Blynk application, so that users receive notifications when a disturbance occurs. Real-time monitoring information is also displayed on the LCD screen on the control panel. The results of the study show that this design is able to provide protection against damage caused by excessive current and water levels, while also increasing the operational efficiency of the AC.
Forecasting Foreign Tourists to West Sumatera Before and After COVID-19 Using ARIMA and Prophet and Its Impact on Foreign Exchange Alandra, Cindy Resha; Permana, Dony; Vionanda, Dodi; Fitria, Dina
Indonesian Journal of Statistics and Applications Vol 9 No 2 (2025)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v9i2p157-168

Abstract

Foreign exchange earnings are very important for the improvement of the economy in Indonesia, where these foreign exchange earnings can be obtained through the tourism sector. One of the provinces in Indonesia that is a major tourist destination is West Sumatra. The number of foreign tourists coming to West Sumatra is influenced by various factors, one of which is the COVID-19 pandemic that resulted in a decrease in visitor numbers. The research was conducted to forecast the number of foreign tourists to West Sumatra using the ARIMA and Prophet methods, as well as to calculate the loss and foreign exchange earnings and the forecasting accuracy of both methods. The data for this study was taken from the BPS West Sumatra website regarding the number of foreign tourists to West Sumatra from 2015 to 2024. In this data, forecasting for the year 2020 will be done using the ARIMA method and forecasting for the year 2025 using the Prophet method. The data in this study tends to be stable before the pandemic, making the ARIMA method suitable. Meanwhile, after the pandemic, the data fluctuated, making the Prophet method suitable. From the results obtained, the best ARIMA model is ARIMA (1, 0, 1). The forecasting accuracy is 1.82% with an estimated foreign exchange loss of $52,095,688 for the year 2020. Meanwhile, using the Prophet method, the forecasting accuracy obtained is 12.13% with an estimated foreign exchange revenue of $208,546,812 for the year 2025.
Whatsapp and Wordplay: Gamified English Learning in Nonformal Classroom Fitria, Dina; Sujito
Teaching English and Language Learning English Journal Vol. 6 No. 1 (2026): February
Publisher : Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/telle.v6i1.10129

Abstract

English vocabulary mastery presents a significant challenge for nonformal education students characterized by heterogeneous backgrounds and limited face-to-face instructional time. This study explores the effectiveness of gamified vocabulary challenges through WhatsApp in improving vocabulary mastery among Grade XI students at PKBM Arrohmah Demak Package C program. Employing a pre-experimental design with one-group pretest-posttest, the research involved 40 students participating in a two-week gamification program with structured daily and weekly tasks. Data were collected through standardized vocabulary tests and participation tracking via WhatsApp platform. Analysis using paired sample t-test and Pearson correlation revealed significant improvement in mean scores from 56.2 to 74.8 with participation rates reaching 87.5%. The multidimensional assessment system measured timeliness, completeness, accuracy, and creativity with an overall achievement of 77.4%. A strong positive correlation was identified between participation levels and learning achievement. Findings confirm that integrating gamification and mobile learning through WhatsApp effectively enhances vocabulary mastery in nonformal education contexts. This platform offers high accessibility and flexibility suitable for adult learner characteristics. Despite its effectiveness, challenges such as limited internet access and low student creativity require attention in future digital learning implementations.
Metode Guru PAI dalam Membentuk Karakter Islami Santri Kalong di Pesantren Al-Barkah Gunung Tua Fitria, Dina; Rahmat, Rini
Indonesian Research Journal on Education Vol. 6 No. 2 (2026): Irje 2026
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v6i2.4296

Abstract

Penelitian ini bertujuan untuk menganalisis metode yang digunakan oleh guru Pendidikan Agama Islam (PAI) dalam membentuk karakter Islami santri kalong di Pondok Pesantren Al-Barkah, Gunung Tua. Penelitian ini menggunakan pendekatan kualitatif dengan metode penelitian lapangan dan studi kasus. Data dikumpulkan melalui wawancara, observasi, dan dokumentasi, dan dianalisis menggunakan model analisis interaktif yang terdiri dari reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa pembentukan karakter Islami di kalangan santri kalong dilakukan melalui beberapa metode utama, yaitu teladan, pembiasaan, nasihat, dan sanksi pendidikan. Pembiasaan diimplementasikan melalui kegiatan keagamaan rutin seperti shalat berjamaah, membaca Al-Qur'an, zikir, dan muhadarah. Faktor pendukung meliputi lingkungan pondok pesantren yang religius, pengaruh teman sebaya yang positif, dan sistem kehadiran dan pengawasan. Sementara itu, faktor penghambat meliputi interaksi sosial di luar pondok pesantren, penggunaan smartphone yang tidak terkontrol, dan rendahnya minat sebagian siswa dalam berpartisipasi dalam kegiatan.
Using Statistical Software in Analyzing Educational Data: A Community Service to Mathematics Teacher’s in 50 Kota Regency Amalita, Nonong; Kurniawati, Yenni; Fitria, Dina
Pelita Eksakta Vol 1 No 2 (2018): Pelita Eksakta Vol. 1 No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol1-iss02/34

Abstract

Analyzing data using statistical software is an interesting work. Many teachers in 50 Kota regency lack of it. Given a workshop on data analysis using statistical software. There is increasing ability of teachers in analyzing data using simple statistical software. They are able to organize their data on education, i.e result of exam