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All Journal Jurnal Ampere PENDIPA Journal of Science Education JUTIS : Jurnal Teknik Informatika Pelita Eksakta Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Abdimas Bina Bangsa Publikasi Hasil Pengabdian Kepada Masyarakat. UNP Journal of Statistics and Data Science Indonesian Journal of Statistics and Its Applications
Dina Fitria, Dina
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Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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ANALISIS PENGHEMATAN KONSUMSI ENERGI PADA SISTEM PENGKONDISIAN UDARA DAN SISTEM PENERANGANDIAREA PRODUKSI PT. SRIWIJAYA ALAM SEGAR PALEMBANG Fitria, Dina; Irwansi, Yudi; Yuwon, Yuwon
JURNAL AMPERE Vol 2, No 1 (2017): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.892 KB)

Abstract

ABSTRAKEnergi listrik sangat penting peranannya dalam kehidupan sehari-hari.Dalam menunjang operasionalnya PT. Sriwijaya Alam Segar menggunakan suplay listrik dari PLN dengan kapasitas 855kVA. Konsumsi energinya terbagi dalam beberapa kelompok beban: beban penerangan, beban pendingin ruangan (AC), beban sistem produksi dan utility. Penghematan pemakaian energi listrik merupakan tindakan yang tepat untuk menekan biaya operasional yang menggunakan energi listrik, sehingga dengan penggunaan energi yang efektif dan efesien di harapkan dapat menaikan produktivitas. Berdasarkan hasil perhitungan di peroleh kesimpulan bahwa konsumsi energi pada sistem penerangan sebelum penggantian lampu TL LED 16W sebesar 34.698 kWH sedangkan setelah dilakukan penggantian lampu TL LED 16W konsumsi energi listrik menjadi 22.004kWH. Selain itu pada penggaturan ulang kelompok saklar lampu di area gudang suplay bawah dan area paletesing line 6–10 di dapatkan penghematan energi sebesar 374 kWH/bulan.Sedangkan hasil pengamatan untuk beban Air Conditioner sebelum dilakukan penggantian AC adalah 26.766kWH, Penulis merekomendasikan penggantian AC yang melebihi standar Brithish Thermal Unit per hour sehingga di dapati pemakaian energi sebesar 16.875kWH.Kata Kunci :Potensi, Penghematan, Energi, Konsumsi
Evaluasi Faktor-Faktor Yang Memengaruhi Indeks Pembangunan Manusia Tahun 2023 Menggunakan Metode SEM-PLS Putri, Sindy Amelia; Zilrahmi; Permana, Dony; Fitria, Dina
UNP Journal of Statistics and Data Science Vol. 2 No. 3 (2024): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol2-iss3/214

Abstract

The human development index (HDI) is a measure of the success of development in a country. Indonesia as a developing country in 2022 has an HDI value that ranks 112 out of a total of 193 countries in the world. This indicates that there is an urgent need for evaluation in increasing the HDI value in Indonesia which leads to an increase in the quality of human development. The evaluation can be done using the Structural Equation Modeling-Partial Least Square (SEM-PLS) analysis method. With 34 Indonesian provinces as observations, there are three dimensions as variables analyzed in this paper, namely economy, education, and health. These variables are analyzed based on each indicator variable. The results of the analysis show that in the economic variable, the influential indicators are the Open Unemployment Rate, GRDP per Capita at Constant Prices, and Average Wage per Hour Worker. Then in the education variable, the influential indicators are the School Participation Rate Age 7-12, the School Participation Rate Age 13-15, the Pure Enrollment Rate for Elementary/Middle School/Package A, the Pure Enrollment Rate for Junior High School/MTs/Package B, and the Pure Enrollment Rate for Senior High School/SMK/MA/Package C. Furthermore, in the health variable, there are indicators of the Percentage of Households by Province and Source of Adequate Drinking Water, and the Percentage of Ever-Married Women Aged 15-49 Years whose Last Childbirth Processed in a Health Facility which affect the value of HDI in Indonesia in 2023.
Memanfaatkan AI Chat Bot Untuk Meningkatkan Respond Survey Kepuasan Pelanggan Revelino, Imanuel; Fitria, Dina; Joni, Joni
JURNAL TEKNIK INFORMATIKA UNIS Vol. 12 No. 1 (2024): Jutis (Jurnal Teknik Informatika)
Publisher : Universitas Islam Syekh Yusuf

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/jutis.v12i1.4604

Abstract

Survey kepuasan pelanggan merupakan salah satu indicator yang penting. Untuk itu perlu dilakukan survey untuk mengetahui tingkat kepuasan pelanggan. Namun agar hasilnya bisa dimanfaatkan dengan baik, maka survey ini perlu direspons dengan baik oleh pelanggan. Penting bagi perusahaan untuk meningkatkan tingkat respon dari survey tersebut. Survey yang saat ini dilakukan memberikan respons rate yang rendah. Mengganti media survey merupakan salah satu hal yang bisa dilakukan untuk meningkatkan tingkat respons dari survey. Media whatsapp dipilih karena merupakan salah satu media yang cukup popular saat ini. Untuk mendorong pelanggan melakukan respon secara langsung, maka dilengkapi dengan chatbot untuk membuat pelanggan merasa responnya ditanggapi. Dengan demikian diharapkan dapat meningkatkan tingkat respon dari pelanggan. Dibandingkan SMS, whatsapp denagn chatbot terbukti, dapat meningkatkan respons rate survey kepuasan pelanggan sampai dengan 26,79%. Atau 10.14% lebih tinggi dari media SMS.
Workshop on WA-PPG Application (Wolfram Alpha, Photo Math, Padlet, Geogebra) to Support the Pedagogical and Professional Competence of Mathematics MGMP Teachers in 50 Regency Cities in Implementing the Independent Curriculum Suherman, Suherman; Al Aziz, Saddam; Martha, Zamahsary; Fitria, Dina
Pelita Eksakta Vol 7 No 2 (2024): Pelita Eksakta, Vol. 7, No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol7-iss2/233

Abstract

The independent curriculum requires teachers to have professional competence in understanding the material and pedagogical competence in designing teaching modules according to the material. Teachers experience many obstacles. Teachers can overcome these obstacles by utilizing technological developments in learning (TPACK). The solution was provided by a Wolfram Alpha, Photo Math, Padlet, Geogebra, or WA-PPG application workshop for High School Mathematics MGMP teachers, Harau District, 50 City Regency. Based on pre-test and post-test data from 31 teachers, an N-Gain score for professional competence and 0.55 was obtained for pedagogy. This means that workshops are genuinely able to improve teacher competence. Apart from that, the average questionnaire score for the practicality of using the WA-PPG application was 80.24%, which concluded that the WA-PPG application used by teachers during the workshop was practical and easy to use.
Implementation of Association Rule on Agricultural Commodity Exports in Indonesia Using Apriori Algorithm Dinul Haq, Asra; Fitria, Dina; Dony Permana; Zamahsary Martha
UNP Journal of Statistics and Data Science Vol. 3 No. 1 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss1/336

Abstract

Exports of agricultural commodities in Indonesia have the smallest contribution to state revenues and the movement of export values ​​in the last decade has not shown a significant increase compared to other export sectors. This shows that there are weaknesses in the export of agricultural commodities so that an analysis is needed to optimize export results to other countries. These weaknesses can be seen in terms of quality, price, infrastructure and technology. This study uses association rule analysis with the apriori algorithm with the aim of finding out what agricultural commodities are exported simultaneously and the resulting association rules. The apriori algorithm is an algorithm used to find association rules between items in a database by considering two main parameters, namely Support and Confidence. The data used is agricultural commodity export data obtained from the publication of the Central Statistics Agency in Indonesia in 2023. Based on the analysis carried out, there are 32 association rules generated with a minimum Support of 25% and a minimum Confidence of 80%. Then after the Lift Ratio test was carried out, all the rules generated met the Lift Ratio test with a value of more than 1. The association rules produced must have at least 2 to 4 agricultural export commodities in each rule. By knowing the association rules for agricultural commodity exports, it is hoped that export distribution in the agricultural sector can be further optimized for trading abroad so that it can cover existing weaknesses.
Classification of Determining Factors for Eligibility of Extreme Poverty Social Assistance Recipients in Dumai City for 2024 Using CHAID Pajrini, Nurul Hasni; Fitria, Dina; Mukhti, Tessy Octavia
UNP Journal of Statistics and Data Science Vol. 3 No. 1 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss1/354

Abstract

Poverty is one of the goals of the Sustainable Development Goals (SDGs). Poverty is a condition in which an individual falls below the standard minimum value of basic needs, both food and non-food. One of the efforts by the Indonesian government to alleviate poverty is through fulfilling needs in various sectors. Although the distribution of social assistance has been successfully implemented, there are still issues in determining beneficiaries who are not properly targeted. Therefore, it is necessary to identify the significant factors influencing the eligibility of social assistance recipients. The application of the CHAID method in classifying the determining factors for eligibility of extreme poverty social assistance recipients in Dumai City for 2024 shows that the significant factors influencing the eligibility status of extreme poverty social assistance recipients in Dumai City for 2024 are house size and neighbors' testimonies. The classification model's accuracy in determining the eligibility factors for extreme poverty social assistance recipients in Dumai City for 2024 is 87.70%.
SOSIALISASI ASAS-ASAS UMUM PEMERINTAHAN YANG BAIK (AUPB) BAGI PERANGKAT PEMERINTAH DAERAH DALAM PELAYANAN PUBLIK DI KANTOR DESA BALERAJA, GANTAR, INDRAMAYU Rahim, Abdur; Darussalam, Muhammad Illyas; Suparmin, Suparmin; Fitria, Dina; zafira, Rufaidah; Antasya, Faridah; Nugroho, Agung; Nahdah, Athaya Nisrina; Suhady, Suhady; Khalida, Rizqiana; Ridho, Fakhru; Abdillah, Muhammad Mukhlis
Jurnal Abdimas Bina Bangsa Vol. 6 No. 1 (2025): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v6i1.1747

Abstract

Good governance is the fundamental foundation for establishing effective management, particularly at the village level. The General Principles of Good Governance (AUPB) serve as essential guidelines that must be implemented in government administration to ensure transparent, accountable, and responsive public services. However, challenges remain in the implementation of AUPB by village officials due to a lack of understanding and limited resources. This community service initiative aims to socialize AUPB among village officials at the Baleraja Village Office, Gantar, Indramayu. The methods employed include seminars, interactive discussions, AUPB-based public service simulations, and evaluations through pre-tests and post-tests. The results of this initiative indicate an improvement in village officials’ understanding of AUPB, as well as heightened awareness of the importance of transparency and accountability in public services. With the optimal implementation of AUPB, the quality of public services in villages is expected to improve, thereby strengthening public trust in village governance.
Mapping Area of Nagari Tanjung Gadang Sijunjung Regency Kurniawati, Yenni; Fitria, Dina; Salma, Admi
Pelita Eksakta Vol 8 No 01 (2025): Pelita Eksakta, Vol. 8, No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol8-iss01/281

Abstract

Developing a digital village as a government point of view supports Nagari Tanjung Gadang as one of Sicantik (a village loving statistics). The village and server got the up to date data about the village and its sub-village. The problem for the village is presenting and analysing the data to publish as it is used. They also found difficulties in writing it into a publication format. The server gave an assistance to write Lumbuang Data Nagari Tanjung Gadang. The result is a book which explains the demographic condition of the village.
Pendampingan Penanaman dan Mengoptimalkan Pemanfaatan Lahan Tidur Menggunakan Polybag di Kelurahan Sukamulya Kecamatan Sematang Borang Rawani, Dewi; Fitria, Dina; Pamuji, Muhni; Aminullah, Moh. Wahyu; Moulita, R.A. Nurul; Abdul Aziz, Ahmad Malik; Alamin, M.
PUBLIKASI PENGABDIAN KEPADA MASYARAKAT Vol 3 No 1 (2023)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/padimas.v3i1.5493

Abstract

Polybag merupakan kantong plastik berwarna hitam dengan lubang-lubang kecil sebagai sirkulasi untuk menanam tanaman yang sebagai alternatif dengan melakukan usahatani tanpa memeliki lahan yang luas. Kelebihan dari berusahatani menggunakan polybag adalah memanfaatkan ruang kosong untuk menyokong kebutuhan dapur, menambah keindahan alami lingkungan, menciptakan taman cantik di lahan terbatas, meningkatkan suplai oksigen di lingkungan sekitar, tanpa melakukan pengolahan tanah (mencangkul/ membajak), fleksibel (dapat dengan mudah diletakkan di mana saja), relatif murah dan mudah pembuatannya terakhir anti banjir. Tujuan dari kegiatan ini adalah untuk mengetahui alternatif lain dalam berusahatani selain menggunakan lahan terbuka yaitu dengan menggunakan polybag agar mengoptimalkan suatu lahan pertanian pada kelompok tani “Melati” di Kelurahan Sukamulya Kecamatan Sematang Borang Kota Palembang.
Classification of Rice Growth Phase Using Regression Logistic Multinomial Model and K-Nearest Neighbors Imputation on Satellite Data Ghaly, Fayyadh; Kurniawati, Yenni; Amalita, Nonong; Fitria, Dina
Indonesian Journal of Statistics and Applications Vol 9 No 1 (2025)
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.v9i1p1-9

Abstract

One of the efforts made by the government to maintain food security is to provide statistical data on rice production through accurate calculation of harvest areas using the area sampling framework approach. Although area sampling framework surveys produce accurate estimates, the costs required are quite high when applying this method. To overcome this problem, one solution that can be applied is to utilize satellite imagery to monitor the greenness index of plants using the enhanced vegetation index. However, in real conditions, the Landsat-8 optical satellite is susceptible to cloud cover, which results in missing data. This study aims to model the phase of rice plants using the regression logistic multinomial model by utilizing Landsat-8 satellites and k-nearest neighbors imputation handling to overcome missing data. The results showed that the model had varying performance in each phase, with an average balanced accuracy of 66.45%. This figure shows that the model can classify the area sampling framework data imputed using the k-nearest neighbors imputation method well. The model shows optimal performance in the late vegetative and generative phases but is less effective in detecting the harvest, puso, and non-rice paddy phases.
Co-Authors Abdillah, Muhammad Mukhlis Abdul Aziz, Ahmad Malik Abdur Rahim, Abdur Al Aziz, Saddam Alamin, M. Anggari Linda Destiana Antasya, Faridah Darussalam, Muhammad Illyas Day, Dafzel Dewi Rawani Dinul Haq, Asra Dodi Vionanda Dony Permana Fathonah, Deffya Ghaly, Fayyadh Hendrawan, Muhammad Indri Astuti Joni Joni Khalida, Rizqiana Maulana, Muhammad Arif Moh. Wahyu Aminullah Moulita, R.A. Nurul Muhni Pamuji, Muhni Mujaidiah Mukhti, Tessy Octavia Nahdah, Athaya Nisrina Nonong Amalita Nugroho, Agung Pajrini, Nurul Hasni Permana, Dony Putri, Sindy Amelia Revelino, Imanuel Ridho, Fakhru Rini Afrianti Salma, Admi Suhady, Suhady Suherman, Suherman Suparmin Suparmin Syafriandi Syafriandi Turrohmah, Azizah Yarman Yarman, Yarman Yenni Kurniawati Yudi Irwansi, Yudi Yuwon, Yuwon zafira, Rufaidah Zamahsary Martha Zilrahmi, Zilrahmi