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All Journal Jurnal Wilayah dan Lingkungan Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Statistika dan Aplikasinya Jurnal Pengabdian kepada Masyarakat Nusantara Kafa’ah: Journal of Gender Studies Jurnal Abdimas Ekonomi dan Bisnis TIERS Information Technology Journal Jurnal Pengabdian Ilung (Inovasi Lahan Basah Unggul) VARIANSI: Journal of Statistics and Its Application on Teaching and Research International Journal of Multidisciplinary Sciences and Arts RAGAM: Journal of Statistics and Its Application Jurnal Teknoinfo
Yeni Rahkmawati
Universitas Lambung Mangkurat
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Peningkatan Kompetensi Peneliti Yayasan Kakikota Banajrmasin Dalam Melakukan Pre-Proccesing Data Hasil Survei, Analisis Data Kategorik, Dan Pembuatan Peta Tematik Yeni Rahkmawati; Selvi Annisa; Dewi Anggraini; Dewi Sri Susanti; Nur Salam; Yuana Sukmawaty; Fuad Muhajirin Farid
Jurnal Pengabdian ILUNG (Inovasi Lahan Basah Unggul) Vol 3, No 1 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ilung.v3i1.9334

Abstract

Banjarmasin KAKIKOTA Foundation is one of the NGOs based in South Kalimantan that works on urban issues in Banjarmasin City. Banjarmasin KAKIKOTA Foundation has conducted several social stuides on phenomena in Banjarmasin City through several surveys. However, due to the lack of knowledge about data processing, the researchers of the Banjarmasin KAKIKOTA Foundation experienced difficulties in analyzing survey results data. Therefore, Program Studi Statistika, FMIPA, Universitas Lambung Mangkurat (ULM) provides assistance in the form of statistical training to researcher of the Banjarmasin KAKIKOTA Foundation in order to improve the researcher’s competency and technical skills  in analyzing research data. The method used in this community service was training. The training was divided into three subthemes, namely: 1) Data preprocessing, 2) Categorical data analysis, and 3) Thematic map making. Based on the evaluation results, this training was very useful for the researcher of the Banjarmasin KAKIKOTA Foundation and is expected to carry out further training in 2023. Keywords: Statistical Training; NGO; Banjarmasin KAKIKOTA Foundation; Research
Resampling Techniques in Rainfall Classification of Banjarbaru using Decision Tree Method Selvi Annisa; Yeni Rahkmawati
TIERS Information Technology Journal Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i2.5069

Abstract

Continuous heavy rains, such as in 2021, can cause flood emergencies in various areas of Banjarbaru. Therefore, classification modeling is needed to predict rainfall classes based on climate parameters. The problem faced in the classification case is the unbalanced class distribution. Class imbalance occurs when the minority class is much smaller than the majority class. This research aims to compare three resampling techniques in handling imbalanced rainfall data in Banjarbaru using the Decision Tree model. The comparison methods used were sensitivity, specificity, and G-Mean values. In this research, the method used is a decision tree model with Random undersampling, Random Oversampling, and SMOTE. The result shows that the best model is the Decision tree model with the Random Undersampling technique because it provides the highest G-Mean value and sensitivity and specificity values above 70%. Based on this model, the variables that can separate the Rainy and Cloudy classes are Minimum temperature, Maximum temperature, and Sunshine duration, with the best separator being Maximum Temperature.
Clustering Time Series Using Dynamic Time Warping Distance in Provinces in Indonesia Based on Rice Prices Yeni Rahkmawati; Selvi Annisa
TIERS Information Technology Journal Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i2.5081

Abstract

Rice is a food commodity that is a basic need for Indonesian people. Since the end of 2022, average rice prices in Indonesia have been increasing, breaking the record for the highest price from August to October 2023. The price of rice in each province in Indonesia is different. This can happen because rice center provinces will distribute their rice production to other regions to meet rice needs. The grouping of provinces in Indonesia based on rice prices over time is an interesting thing to research. The analysis method used to group similar objects into groups for time series data is called clustering time series. The distance that can be used to measure the closeness of two-time series is the Dynamic Time Warping (DTW) distance. The clustering analysis used is the single, complete, average, Ward, and median linkage method. The results of the analysis show that time series clustering in provinces in Indonesia based on rice prices is best using median linkage hierarchical clustering. The median linkage method has a cophenetic correlation coefficient value of 0.899064, meaning that clustering using the DTW distance with the median difference is very good. The resulting clusters contained 3 clusters which had different characteristics between the clusters. There are 2 clusters that can be of concern to the government, because there are clusters that have rice prices that have always been high in the last period and there are provincial clusters that have rice prices that are very diverse or can be said to be unstable.
Analisis Faktor-Faktor Yang Mempengaruhi Pertumbuhan Produk Domestik Bruto Di Asia Menggunakan Model Regresi Dummy Ivanna Genardi, Angelina; Rahkmawati, Yeni; Muhajirin Farid, Fuad
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 7 No. 01 (2025)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm352

Abstract

This study aims to analyze the factors influencing the Gross Domestic Product (GDP) of 45 Asian countries in 2021. Understanding these factors is crucial for formulating effective development policies and achieving the Sustainable Development Goals (SDGs). Data were sourced from Our World in Data and the World Bank. Dummy regression was employed to examine the effects of the Human Development Index (HDI), population size, and income classification on GDP. The results indicate that HDI and income classification significantly impact GDP, while population size does not. High-income countries have higher GDP compared to others. The regression model achieved an Adjusted R-Square value of 0.9058, explaining 90.58% of the variability in GDP. These findings highlight that enhancing human resource quality is essential for driving economic growth, particularly in low- and middle-income countries in Asia. This study offers valuable insights for policymakers in fostering sustainable development
GENDER EQUALITY-BASED ECONOMIC GROWTH IN SOUTHERN KALIMANTAN PROVINCE Farid, Fuad Muhajirin; Rahkmawati, Yeni; Hafizi, Muhammad Riza; Fidiyaningsih, Yani; Salsabila, Nur; Sidauruk, Verina Rosalin Br
Kafa`ah: Journal of Gender Studies Vol 14, No 2 (2024)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jk.v14i2.738

Abstract

Gender equality is one of the issues of several Sustainable Development Goals (SDGs), in the economic development sector is one of the targets in sustainable development. Gender equality is the condition of providing opportunities for women and men to be equal / comparable in enjoying rights as individuals, socially with the opportunity to own objects, opportunities, resources and enjoy the benefits of development results. The purpose of this study is to identify the influence of gender roles on economic growth in South Kalimantan Province, and determine the recommendations given as a basis for policies to increase economic growth based on gender equality in South Kalimantan Province. The method used in analyzing is panel data regression modeling. The results of this study concluded that based on the results of the Chow and Hausman tests, the Fixed Effect Model (FEM) is the right model to use in modeling gender equality-based economic growth in South Kalimantan Province with an R-Squared value of 0.5722, with the intention of being able to identify economic growth in South Kalimantan Province by 57.22% based on gender equality.  Keyword: Gender Equality, Economic Growth, and Panel Data Regression
THE APPLICATION OF SUPPORT VECTOR MACHINES IN FORECASTING INDONESIA'S EXPORT VALUES Muhammad Jimmy Saputra; Yeni Rahkmawati
Jurnal Statistika dan Aplikasinya Vol. 9 No. 1 (2025): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.09114

Abstract

Exports play a crucial role in Indonesia's economic growth, but fluctuations in export values can impact national economic stability. While there is existing research on export forecasting, the application of advanced machine learning methods such as Support Vector Machine (SVM) is limited. This study aims to forecast Indonesia’s export values using SVM based on monthly data from January 2017 to February 2025. The data were split into 80:20 proportions for training and testing, with input variables optimized using Partial Autocorrelation Function (PACF) analysis. Fifteen input schemes were tested, and the combination of lag 1 and lag 2 produced the lowest Mean Absolute Percentage Error (MAPE) of 5.04% on the test data, indicating very high accuracy. The forecasted results show a declining trend in export values from 21.87 billion USD in March 2025 to 20.66 billion USD in December 2025, driven by external factors such as global economic slowdown and commodity price fluctuations. Despite the decline, Indonesia’s export values remain relatively high compared to pre-2021 periods. This research highlights the effectiveness of SVM for export forecasting and suggests that this method could be used to inform policy decisions to mitigate global trade risks. Future research could explore the inclusion of additional external variables and other machine learning techniques to further improve forecast accuracy. The novelty of this study lies in the application of SVM for forecasting Indonesia’s export values, filling a gap in the literature on export forecasting models.
Formulir Dinamis Pengusulan Standar Harga Satuan (SHS) Kabupaten Hulu Sungai Selatan Annisa, Selvi; Rahkmawati, Yeni
Jurnal Abdimas Ekonomi dan Bisnis Vol. 5 No. 1 (2025): Jurnal Abdimas Ekonomi dan Bisnis
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abdiekbis.v5i1.7297

Abstract

Badan Pengelolaan Keuangan dan Pendapatan Daerah Kabupaten Hulu Sungai Selatan mengalami kendala dalam menyusun Standar Harga Satuan karena data usulan dari Satuan Kerja Perangkat Daerah tidak disajikan secara detail. Hal ini muncul karena banyaknya data yang harus dimasukkan dan disesuaikan dengan uraian barang, kelompok barang, dan kelompok belanja. Selain itu, karena penginputan dilakukan secara manual, banyak terjadi kesalahan pengetikan. Oleh karena itu, tujuan dari kegiatan pengabdian ini adalah membuat formulir dinamis pengusulan Standar Harga Satuan di Kabupaten Hulu Sungai Selatan serta tutorial penggunaanya untuk tahun 2025. Metode pelaksanaan kegiatan adalah penerapan perangkat lunak yang dimulai dari membuat lima formulir dinamis pengisian beserta video tutorial cara pengisiannya dan diunggah ke Youtube. Formulir dinamis dan tautan youtube tersebut kemudian disebar ke seluruh Satuan Kerja Perangkat Daerah di Kabupaten Hulu Sungai Selatan. Selanjutnya Satuan Kerja Perangkat Daerah memiliki waktu satu bulan untuk mengisi usulan pada formulir yang telah dibuat secara offline (Ms. Excel) atau online (Spreadsheet). Hasil kegiatan ini menunjukkan bahwa kelima formulir tersebut dapat membantu Satuan Kerja Perangkat Daerah dalam mengusulkan Standar Harga Satuan. Sebagian besar dari mereka (95%) merasa formulir tersebut secara efektif membantu mereka dalam menyelesaikan tugas-tugas mereka. Namun, beberapa diantaranya (8.8%) menyebutkan bahwa mereka tidak mendapatkan informasi yang cukup mengenai video tutorial karena tautan video tidak sampai kepada mereka, sehingga mereka merasa video tutorial tidak membantu proses pengisian Standar Harga Satuan.
Pendampingan Ujian Kompetensi Peminatan Sains Bagi Peserta Didik SMP Muhammadiyah 1 Banjarbaru Susanti, Dewi Sri; Gafur, Abdul; Uthami, Mariza; Noordyanti, Erna; Faisal, Muhammad Reza; Farid, Fuad Muhajirin; Maisarah, Maisarah; Rahkmawati, Yeni; Riza, Yusi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 4 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

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

Abstract

Kemampuan literasi dan komunikasi peserta didik pada jenjang pendidikan dasar perlu ditingkatkan agar lebih siap mengikuti pembelajaran pada kurikulum merdeka. Salah satu cara untuk meningkatkan potensi ini adalah dengan melaksanakan Ujian Kompetensi Peminatan bagi peserta didik menjelang kelulusan. Kegiatan pengabdian pada masyarakat yang dilakukan ini bertujuan untuk meningkatkan kemampuan literasi dan komunikasi peserta didik kelas IX SMP Muhammadiyah 1 Banjarbaru. Melalui kegiatan ini dapat diukur sekaligus mengembangkan kemampuan literasi dan komunikasi sains pada peserta didik agar nantinya lulusan lebih siap untuk memberikan unjuk kerja pada pembelajaran sains di jenjang pendidikan berikutnya. Dalam kegiatan ini, secara bersama-sama dosen dan guru-guru melaksanakan proses pembimbingan dan memberikan penilaian terhadap kegiatan ujian kompetensi peminatan sains. Kegiatan diawali dengan proses penentuan topik yang akan dipilih oleh peserta didik untuk disajikan sebagai presentasi ilmiah dan penyusunan kerangka acuan kerja. Setelah peserta didik menyelesaikan penyusunan presentasi ilmiah, dilakukan proses ujian lisan. Kerangka penilaian disusun dengan memperhatikan aspek kognitif, afektif dan psikomotorik. Peserta didik yang mengikuti ujian sebanyak 24 (duapuluh empat) peserta didik, dimana 3 (tiga) diantaranya adalah peserta didik berkebutuhan khusus. Setelah dilakukan ujian, diperoleh nilai peserta didik dari ketiga aspek tersebut berada dalam rentang 87.25 ± 5.59k. Hal ini menunjukkan bahwa kemampuan peserta didik kelas 9 SMP Muhammadiyah 1 Banjarbaru dalam literasi dan komunikasi sains sangat memuaskan.
Pemodelan Regresi Semiparametrik Spline pada Persentase Penduduk Miskin di Provinsi Kalimantan Selatan Muhammad Munawwir; Farid, Fuad Muhajirin; Rahkmawati, Yeni
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.444

Abstract

Poverty is one of the unresolved development challenges throughout the world, including Indonesia. One of the regions in Indonesia where the percentage of poor people is below the national level is South Kalimantan Province. The percentage of poor people in South Kalimantan Province from 2000 to March 2022 was always below the national level. The economy in South Kalimantan is dominated by the mining and quarrying sector which is less sustainable, allowing the percentage of poor people in South Kalimantan to be prone to increase.  Therefore, it is necessary to model the percentage of poor people based on the factors considered to influence it. This study aims to explain how to model the percentage of poor people based on the assumption that the observed variables affect it. To achieve this goal, the technique applied in modeling the percentage of poor people is spline semiparametric regression. As a result of using this semiparametric spline regression, it was found that the model parameters were not significant, requiring separate modeling for parametric and nonparametric regression. Based on the separation of the model, it’s found that using multiple linear regression there are 2 influential predictor variables, namely adjusted per capita expenditure and the percentage of households using proper water.
Product Development and Marketing Quality Improvement Training for Craftswomen of Purun Woven: Pelatihan Pengembangan Produk dan Peningkatan Kualitas Pemasaran bagi Pengrajin Anyaman Purun Susanti, Dewi Sri; Annisa, Selvi; Rahkmawati, Yeni; Adzim, Muhammad Fauzan; Genardi, Angelina Ivanna; Oktaviani, Viona
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 3 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i3.17063

Abstract

One of the villages in Banjarbaru has a unique handicraft product because it is made from Purun plants, a type of shrub that grows wild in swamp areas. The products made by the community around Palam Village are bags and accessories woven from Purun rat plant materials. So far, the handicraft is enough to provide additional income for housewives but has not provided optimal results because it has yet to implement a digital marketing strategy. The bag products produced are also relatively simple and have yet to be modified to gain more value in sales. This community service project aimed to train housewives in product development so they could produce Purun bag items more skillfully. Furthermore, instruction was provided on creating poster designs using the Canva software as a digital marketing tool. During the training, the artisans had the chance to try creating Purun bags by hand and creating advertising posters using their phones. The end training outcomes demonstrated that the artisans could incorporate the instruction into their creations. The assessment form revealed that the artisans were highly motivated to participate in the training and expressed hopes that conducting more of this kind of instruction in the future would be possible.
Co-Authors Adzim, Muhammad Fauzan Al Atqiaa , Muhammad Azkaa Al Fajrin, Muhammad Agha Putra Ananda, Saira Aulia Cahyadi, Rizqa Nabiilah Dewi Anggraini Dewi Anggraini Dewi Sri Susanti Eka Ayu Frasetyowati Farid, Fuad Muhajirin Fidiyaningsih, Yani Fuad Muhajirin Farid Fuad Muhajirin Farid Genardi, Angelina Ivanna Hafidhah, Nor Jinan Ivanna Genardi, Angelina Maisarah Maisarah, Maisarah Maulida, Maisya Muhajirin Farid, Fuad Muhammad Jimmy Saputra Muhammad Munawwir Muhammad Reza Faisal, Muhammad Reza Muhammad Riza Hafizi Nabilah, Dwi Anisatun Nazili, Muhammad Haqin Noordyanti, Erna Novanda Rizky Ramadhana Nur Salam Oktaviani, Viona Putri, Dwi Cahyaning Riza, Yusi Salsabila, Nur Selvi Annisa Siahaan, Priscilla Aquirera Iory Sidauruk, Verina Rosalin Br Sukmawaty, Yuana Syamsiar, Syamsiar Uthami, Mariza Viona Oktafiani Viranty, Miftah Rizky Yuana Sukmawaty Zulliati Zulliati, Zulliati