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Pemanfaatan Menu References Microsoft Word Untuk Penulisan Sitasi Berdasarkan “APA STYLE” pada Guru Matematika SMA/MA di Kabupaten Pangkep Rusli Rusli; Ahmad Talib; Sutamrin Sutamrin; Abdul Rahman; Ansari Saleh Ahmar; Hastuty Hastuty
ARRUS Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia & ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.abdiku1313

Abstract

Artikel ilmiah merupakan produk karya tulis ilmiah yang tidak pernah terlepas dari aktivitas pengutipan, termasuk aktivitas penyusunan daftar pustaka. Permasalahan yang ada adalah masih banyak orang yang belum memahami cara pengutipan dan penulisan referensi APA style dengan menggunakan aplikasi Mikrosoft Word. Atas dasar tersebut, kami melaksanakan kegiatan pelatihan ini untuk mereka yang memiliki kendala penulisan referensi APA style dan penggunaan aplikasi Mikrosoft Word. Tujuannya adalah untuk memberikan informasi dan skill kepada guru-guru peserta pelatihan mengenai cara penulisan sitasi dan referensi jurnal sesuai format APA. Kegiatan ini dilaksanakan pada hari Kamis, 14 Juli 2022 dengan melibatkan 14 secara luring. Metode pelaksanaan kegiatan dibagi menjadi 3 tahapan yaitu tahap registrasi peserta, tahap edukasi, dan tahap praktik. Adapun hasil yang dicapai dari kegiatan ini adalah peserta mendapatkan informasi dan pengetahuan tentang cara penulisan sitasi dan daftar pustaka sesuai format APA style. Selain itu, peserta juga memperoleh skill cara mengoperasikan software Microsoft Word.
Implementation of Exponential Smoothing in Forecasting the Export Value Price of Oil and Gas in Indonesia Ansari Saleh Ahmar; Abdul Rahman; Sitti Masyitah Meliyana R.; Rusli Rusli; Nachnoer Arss; Alok Kumar Panday
Quantitative Economics and Management Studies Vol. 4 No. 4 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems1022

Abstract

This study aims to predict the value of oil and gas export prices in Indonesia using exponential smoothing. Exponential smoothing was applied because the data analysis revealed that the data consisted of trends and seasonal components. This study uses secondary data obtained from the website of the Central Bureau of Statistics of the Republic of Indonesia, covering the value of oil and gas exports in Indonesia every month from January 2010 to March 2022. The study obtained the exponential smoothing parameters, including α = 0.5153984, β = 0.06410119, and g = 0.7137603, with a seasonal length of L = 12. The forecast for the next five periods in millions of US$: April 2022 (1111.765), May 2022 (1250.465), June 2022 (1405.016), July 2022 (1447.510), and August 2022 (1452.984).
Forecasting the Export Value of Oil and Gas in Indonesia using Autoregressive Integrated Moving Average (ARIMA) Ansari Saleh Ahmar; Abdul Rahman; Parkhimenko Vladimir Anatolievich; Rusli Rusli; Sitti Masyitah Meliyana R.
Quantitative Economics and Management Studies Vol. 4 No. 5 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku1040

Abstract

This study aims to utilize the ARIMA method to predict the value of Indonesia's oil and gas exports. As quantitative research, it employs secondary data sourced from the Central Bureau of Statistics of the Republic of Indonesia's website. The data spans January 2010 to March 2022 and are presented on a monthly basis. Through the results and discussion, three ARIMA models were established, namely ARIMA (1,1,0), ARIMA (0,1,1), and ARIMA (1,1,1). Among these models, the ARIMA (0,1,1) model with an AIC value of 2047.65 was found to be the most suitable for forecasting Indonesia's oil and gas exports. The forecasted values for the next five periods were 1254.124 (April 2022), 1309.678 (May 2022), 1289.236 (June 2022), 1296.758 (July 2022), and 1293.990 (August 2022).
The Implementation of Holt-Winters Method to Forecast the Loan Interest Rate of Indonesia Ansari Saleh Ahmar; Abdul Rahman; Mohd. Rizal Mohd. Isa; Rahmat Hidayat
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2718

Abstract

This study aimed to anticipate the rupiah loan interest rates at commercial banks in Indonesia by employing the Holt-winters method. This study employs data on rupiah loan interest rates from commercial banks in Indonesia. The data comprises a time series element, with monthly intervals spanning from January 2013 to November 2015, which was obtained from the official website of BPS Indonesia. The study demonstrates that the Holt-winters technique yields the most accurate forecasts, as indicated by a Root Mean Square Error (RMSE) of 0.19720630. The parameters alpha, beta, and gamma, set at 0.6, 0.6, and 0.6 respectively, constitute the optimal configuration for this method. These results indicate that the Holt-winters method is an effective tool for capturing seasonality, trends, and patterns in credit interest rate data, making it a reliable choice for future loan interest rate forecasting. The findings of this study are expected to significantly contribute to strategic decision-making in the banking sector, particularly in risk management and loan interest rate strategy determination.
The Development of Web-Based E-Modules in Class XI Marching Materials on SMA Negeri 11 Pinrang Rusli Rusli; Ahmad Talib; Hastuty Musa; Abdul Rahman; Nur Ikhsan Ismail
ARRUS Journal of Social Sciences and Humanities Vol. 3 No. 5 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2163

Abstract

This study aimed to develop and produce valid, practical, and effective web-based e-module products to help students understand the sequencing material for the Eleventh Grade at Senior High School 11 Pinrang. This research was conducted at Senior High School 11 Pinrang. The research method refers to Thiagarajan 4D development model, which consists of 3 stages: define, design, develop, and disseminate. The development research began with the defining stage, which consisted of defining a problem based on students, assignments, materials, and learning objectives. The design stages include compiling, designing, and determining formats. The development stage involves validation of material and media experts, followed by testing. Firthermore, the dissemination stage was limited to Senior High School 11 Pinrang in different classes. Research instruments used in this study included validation sheets by material experts and media experts to measure validity, student response questionnaires to measure practicality, and learning achievement test questions to measure effectiveness. The trial was performed on class XI MIPA 2 students at Senior High School 11 Pinrang. The results showed that the web-based e-module on class XI lineup material that was developed was valid with a score of 3.72 in terms of material and a score of 3.70 in terms of media which was included in valid and unrevised criteria, practically by obtaining a very positive response from students and teacher responses with a score of 3.56 for student responses and a score of 3.38 for teacher responses, and effective based on student learning outcomes tests with an effectiveness score on the percentage of completeness of the trial subjects of 88.46%.
Development of Social Arithmetic Problem Solving Ability Assessment Tool for Junior High School Students Baso Intang Sappaile; Abdul Rahman; Fakhiratunnisa Fakhiratunnisa; Tajuddin Tajuddin
ARRUS Journal of Social Sciences and Humanities Vol. 3 No. 5 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2164

Abstract

This study aims to produce an assessment tool that is able to measure social arithmetic problem solving skills in junior high school students. This type of research is a type of development research. The subjects in this study were 81 students of SMPN 25 Barru. The results showed that the assessment tool for social arithmetic problem solving ability consisted of grids, test instruments, and scoring guidelines. In the test grid there are eight indicators of questions that cover all social arithmetic material in the 2013 curriculum for junior high school students. The instrument consists of ten items developed from the eight indicators in the test grid. The scoring guide, on the other hand, contains standards for scoring students based on the types of problems they solve. The research tool has been declared valid and reliable with a reliability coefficient of 0.9. In terms of difficulty level, there are 7 questions in the medium category, 1 question in the difficult category, and 2 questions in the easy category. From the aspect of discriminating power, there are 5 questions in the sufficient category, 3 questions in the good category and 2 questions in the very good category.
K-Means Cluster for Grouping Regencies/Cities in South Sulawesi Province Based Human Development Index on the 2023 Isma Muthahharah; Sitti Masyitah Meliyana; Ansari Saleh Ahmar; Abdul Rahman
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 3 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2587

Abstract

The grouping of districts/cities in South Sulawesi province should be carried out as a material for planning and evaluating government program objectives. The aim is to increase human development figures based on the indicators that form the HDI including Life Expectancy (UHH) at birth, Expected Years of Schooling (HLS), Average Years of Schooling (RLS). Therefore, cluster analysis was used using the K-means method, which is a type of statistical analysis. This type of research is applied research with a quantitative approach by collecting and analyzing data using the K-Means Cluster method. The data used in the determination was sourced from the South Sulawesi Provincial Central Statistics Agency in 2023. The results of grouping using K-Means clusters showed that there were 3 clusters, where cluster 1 had 23 regencies/cities in the Southern Province consisting of the Selayar Islands, Bantaeng, Jeneponto, Takalar, Sinjai, Maros, Pangkep, Barru, Bone, Soppeng, Wajo, Luwu and North Luwu with low criteria. Cluster 2 has 3 regencies/cities, namely Makassar, Pare Pare and Palopo with high criteria. Cluster 3 has 8 regencies/cities, namely Bulukumba, Gowa, Sidrap, Pinrang, Enrekang, Tana Toraja, East Luwu and North Toraja with medium criteria. The suggestion in this research is that you can use indices and other methods to group districts/cities in South Sulawesi Province.