Article Per Year (5 Year)
p-Index From 2021 - 2026
8.608
P-Index
This Author published in this journals
All Journal IQTISHODUNA Jurnal Ekonomi Modernisasi The Asian Journal of Technology Management (AJTM) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Studi Komunikasi Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) Jurnal Varian Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Journal of Applied Science, Engineering, Technology, and Education Variansi : Journal of Statistics and Its Application on Teaching and Research Mattawang: Jurnal Pengabdian Masyarakat JINAV: Journal of Information and Visualization Quantitative Economics and Management Studies LOSARI: Jurnal Pengabdian Kepada Masyarakat Jurnal Riset dan Inovasi Pembelajaran Panrannuangku Jurnal Pengabdian Masyarakat EduLine: Journal of Education and Learning Innovation Daengku: Journal of Humanities and Social Sciences Innovation ARRUS Journal of Social Sciences and Humanities ARRUS Journal of Mathematics and Applied Science ARRUS Journal of Engineering and Technology al-fikrah: Jurnal Manajemen Pendidikan Seminar Nasional Pengabdian Kepada Masyarakat VARIANSI: Journal of Statistics and Its Application on Teaching and Research Seminar Nasional Hasil Penelitian LP2M UNM ARRUS Jurnal Pengabdian Kepada Masyarakat
Ahmar, Ansari Saleh
Department Of Statistics, Universitas Negeri Makassar, 90223, Makassar, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 95 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 95 Documents
Search

 3   4   5   6   7 
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).
Exploring Generative AI Tools Frequency: Impacts on Attitude, Satisfaction, and Competency in Achieving Higher Education Learning Goals M. Miftach Fakhri; Ansari Saleh Ahmar; Andika Isma; Rosidah Rosidah; Della Fadhilatunisa
EduLine: Journal of Education and Learning Innovation Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.eduline2592

Abstract

The urgency of using AI in the educational environment as a medium for optimizing student learning personalization in synchronous and asynchronous learning needs to be done to ensure that students experience improved attitudes, motivation, and learning satisfaction, which is reflected in student competencies. This study aimed to investigate the impact of ChatGPT use frequency on students' attitudes, satisfaction levels, and competence in higher education learning goals. The type of research employed was non-experimental quantitative research, specifically ex-post facto research. The sample size was 257 people, which was determined using the criteria of Issac and Michael (1971) and sampling distribution with a proportional random sampling technique. Data collection techniques that utilize questionnaires are effective in obtaining quantitative data. The PLS SEM analysis was used to determine the effect of exogenous latent variables on endogenous latent variables. The study revealed that reliability and satisfaction with ChatGPT positively impact learning outcomes, while the perceived impact on competence does not significantly enhance learning objectives. Increased usage frequency moderates these effects, diminishing the positive influence of perceptions, reliability, and satisfaction and shifting the impact on competence to negative and insignificant. These findings highlight the complexity of integrating ChatGPT into education, suggesting that initial positive perceptions may not be sustained with frequent use.
The Comparison of Single and Double Exponential Smoothing Models in Predicting Passenger Car Registrations in Canada Ansari Saleh Ahmar; Sitti Masyitah Meliyana; Miguel Botto-Tobar; Rahmat Hidayat
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 4 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku2639

Abstract

This study aims to compare the two main variants of exponential smoothing methods in the context of business forecasting: Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES). In this study, we applied these three methods to the data on Monthly Passenger Car Registrations in Canada from 2019 to 2022. The performance of each method was evaluated using Root Mean Square Error (RMSE) as the primary metric. The analysis results showed that Single Exponential Smoothing (SES) produced the best performance with the lowest RMSE of 13.07859 for an alpha of 0.6, compared to DES, which yielded higher RMSE values. These findings indicate that although DES have the capability to handle trends and seasonality, in some cases, especially when the data has single fluctuations without significant seasonal patterns or trends, SES can provide more accurate forecasting results. This study provides valuable insights for practitioners in selecting the most appropriate forecasting method based on the characteristics of the data at hand.
Pelatihan Penulisan Karya Tulis Ilmiah pada Guru SMP di Kabupaten Tana Toraja Ahmar, Ansari Saleh; Rusli, R.; Rahman, Abdul; Lince, Ranak; Musa, Hastuty
ARRUS Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 1 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.abdiku1744

Abstract

Guru sekarang dituntut untuk kreatif meneliti (dalam berbagai skala dan bentuk) dan menulis hasil penelitian maupun analisisnya dalam suatu artikel ilmiah. Permasalahan riil yang melatarbelakangi kegiatan ini yaitu belum banyak guru (SD/SMP) yang memiliki keterampilan cukup untuk menulis artikel ilmiah dan baru sedikit pula yang telah berhasil mempublikasikannya melalui jurnal ilmiah ber-ISSN atau terakreditasi. Tujuan kegiatan ini adalah (1) memberikan (sharing) pelatihan dan mendampingi guru-guru SD/SMP dalam menulis artikel ilmiah secara tepat, dan (2) menambah wawasan dan meningkatkan keterampilan guru-guru SD/SMP dalam menulis artikel ilmiah dan mempublikasikannya melalui jurnal ilmiah. Kegiatan pengabdian kepada masyarakat ini dilaksanakan untuk guru-guru SD/SMP diwilayah Rantepao dan sekitarnya yang mempunyai kemauan dan kemampuan untuk dilatih penulisan karya ilmiah. Peserta kegiatan berjumlah 25 orang. Pelaksanaan kegiatan ini dalam bentuk pelatihan dan pendampingan. Pelaksanaan kegiatan pelatihan ini dilakukan beberapa kali, yang dapat memberikan masukan dan manfaat, diantaranya yaitu: (1) guru-guru SD/SMP mendapatkan pelatihan dan pendampingan dalam menulis artikel ilmiah dan hal-hal yang terkait dengan artikel ilmiah, dan (2) wawasan dan keterampilan guru-guru SD/SMP meningkat dalam menulis artikel ilmiah.
Penulisan Instrumen Penelitian Ilmiah pada Guru SMP di Kabupaten Toraja Utara Rahman, Abdul; Arsyad, Nurdin; Rusli, R.; Ahmar, Ansari Saleh; Musa, Hastuty
ARRUS Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 1 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.abdiku1745

Abstract

Instrumen penelitian adalah komponen penting dalam penelitian ilmiah karena menutup kemungkinan instrumen dari suatu penelitian dapat digunakan kembali oleh penelitian lain yang memiliki keterkaitan dan kebutuhan yang sama. Artinya instrumen penelitian dapat menjadi aset ilmiah bagi seorang peneliti yang mengembangkannya. Hasil dari pelatihan penulisan instrument ini, ditunjukkan antara lain oleh: (1) adanya kesesuaian materi dengan kebutuhan guru-guru SD/SMP untuk meningkatkan profesionalitasnya, penulisan instrumen penelitian bidang pendidikan, (2) adanya respon yang positif dari peserta mengingat kegiatan pengabdian merupakan kebutuhan guru dalam rangka peningkatan profesionalitasnya, dan (3) sebagian besar (85%) peserta telah memahami konsep penulisan instrument penelitian bidang Pendidikan.
Meningkatkan Publikasi Ilmiah Melalui Teknik Sitasi dan Penulisan Referensi Bagi Guru SMP Di Kabupaten Takalar Rusli, Rusli; Rahman, Abdul; Sutamrin, Sutamrin; Ahmar, Ansari Saleh; Musa, Hastuty
ARRUS Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.abdiku2160

Abstract

Solusi yang ditawarkan pada pengabdian ini berupa pelatihan melakukan sitasi dan referens berbantuan menu references bawaan Microsoft Word. Sasaran kegiatan ini adalah guru-guru SMP yang bergabung dalam MGMP Matematika SMP dalam lingkup Kabupaten Takalar. Kegiatan pelatihan ini dilaksanakan secara kolosal untuk beberapa kelompok bidang pelatihan, jumlah keseluruhan guru yang mengikuti pelatihan sebanyak 69 guru SMP baik negeri maupun swasta dalam lingkup Kabupaten Takalar, dan sebanyak 17 guru yang tertarik mengikuti pelatihan dengan materi peningkatkn publikasi ilmiah melalui teknik sitasi dan penulisan referensi. Pelatihan ini dilakukan melalui 3 (tiga) tahap, yaitu: (1) Perencanaan, (2) Pelaksanaan, (3) Evaluasi. Materi yang diberikan adalah wawasan tentang penelitian dan laporan penelitian, pengetahuan tentang sitasi, dan keterampilan guru dalam teknik penulisan pengutipan , referens secara otomatis. Metode yang digunakan adalah melakukan penyuluhan/pengajaran, pelatihan, peragaan dan diskusi dan refleksi antara guru dan tim pelaksana, Model pelatihannya adalah experiantal learning. Pelaksanaan pelatihan tentang pembuatan laporan hasil penelitian yang difokuskan pada Teknik sitasi dan referensi berjalan sangat lancar, hasil yang diperoleh bahwa materi yang disajikan dalam PKM sangat sesuai dengan kebutuhan Guru, kegiatan PKM ini sangat sesuai dengan harapan Guru, guru sangat berminat untuk mengikuti kegiatan serupa di waktu yang akan datang. Pelatihan ini pula memberi manfaat yang sangat baik pada guru. Juga kegiatan PKM ini sangat menambah wawasan dan keterampilan guru, dan yang terakhir bahwa guru sangat puas pada pelaksanaan PKM.
Effect of government role and human resource competence on level of success of small and medium enterprises in East Java province with business performance as mediation variable Al Idrus, Salim; Abdussakir, Abdussakir; Al Idrus, Shofiyah; Supriyanto, Achmad Sani; Ahmar, Ansari Saleh; Kamaluddin, Kamaluddin
Jurnal Ekonomi Modernisasi Vol. 19 No. 1 (2023)
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jem.v19i1.8033

Abstract

The objective of this research is to reveal the effect of government role and human resource competence on level of success of SMEs in East Java Province with business performance as mediation variable. Using quantitative research, causal relationship across variables is ensured through SEM-PLS method. Sampling technique is purposive random sampling with 130 SMEs used as sample. Data collection technique is using questionnaire. The results of research show that government role and human resource competence affect level of success of SMEs in East Java Province; and business performance is the mediation variable to the effect of government role and human resource competence on level of success of SMEs in East Java Province.
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.
Evaluating Random Forest Algorithm in Educational Data Mining: Optimizing Graduation on-time prediction using Imbalance Methods Rizal Bakri; Niken Probondani Astuti; Ansari Saleh Ahmar
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2449

Abstract

The study aims to evaluate the performance of Random Forest algorithms in data mining education by optimizing graduation on-time (GOT) predictions using imbalanced data methods. Methods used to handle imbalanced data include random under-sampling (RUS), random over-sampling (ROS), hybrids of RUS and ROS, synthetic minority over-sampling techniques for nominal classes (SMOTE-NC), and hybrids of SMOTE-NC and RUS. After applying these methods, studies analyze their performance on training and testing data. The research findings show that on training data, the RUS-ROS hybrid showed the best performance compared to other methods, while the SMOTENC and RUS hybrid techniques showed the best performance on testing data based on AUC values. The research showed that the use of an imbalanced data method significantly improved the ability of Random Forest algorithms to predict graduation on time (GOT) in the context of educational data. We discuss the implications for educational data mining applications and provide suggestions for future research.
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.
Co-Authors - Asmar Abdul Rahman Abdul Rahman Abdussakir Abdussakir Absussakir Abdussakir Achmad Sani Supriyanto Agus Nasir Ahmad Rifad Riadhi Ahmad Talib Aidid, Muhammad Kasim Akbar Iskandar Alfairus, Muh. Qodri Ali Mokhtar Alief Imron Juliodinata Alok Kumar Panday Alsa, Yudhistira Ananda Andika Isma ANDIKA SAPUTRA Anggreni, Afrillia Asfar Asmar Asmar, Asmar Astuti, Niken Probondani Aswi, Aswi Ayu Rahayu Azzajjad, Muhammad Fath Boj del Val, Eva Boj, Eva Botto-Tobar, Miguel Bustan, M Nadjib Cadena, Angela Diaz Dary Mochamad Rifqie Della Fadhilatunisa Dewi Fatmarani Surianto Dewi Satria Ahmar Djawad, Yasser Abd. Ersa Karwingsi Eva Boj Faizal Arya Samman Fathahillah Fathahillah H.S, Rahmat Halim, Patmawati Hamzah Upu Hardianti Hafid Hastuty Hastuty Hastuty Hastuty Hastuty Musa Herman Herman Hidayat M., Wahyu Ifriana, Ifriana Ilimu, Edi Irwan Irwan Irwan Irwan Isma Muthahharah Jamaluddin Jamaluddin Kamaluddin Kamaluddin Kasmudin Mustapa Khadijah Khaeruddin Khaeruddin Kusmaladewi, K. Lince, Ranak M. Miftach Fakhri Magfirah Manalu, Yessi Febianti Mansyur Mansyur Marni Marni, Marni Meliyana R, Sitti Masyitah Miguel Botto-Tobar Misriani Suardin Mohd. Rizal Mohd. Isa Muhammad Abdy Muhammad Abdy Muhammad Arif Tiro Muhammad Arif Tiro Muhammad Farhan Muhammad Kasim Aidid Muhammad Kasim Aidid Muhammad Nadjib Bustan Muhammad Nadjib Bustan Muhammad Nusrang Muliadi N. Nurahdawati Nachnoer Arss Nasrul Ihsan Niken Probondani Astuti Novi Afryanthi S. Nur Anisa Nurdin Arsyad, Nurdin Nurhikmawati, Nurhikmawati Parkhimenko Vladimir Anatolievich Patmasari, Andi Poerwanto, Bobby Purnama Ningsih R. Ruliana R. Rusli R. Rusli Raden Mohamad Herdian Bhakti Rahman, Abdul Rahman, Muhammad Fatur Rahmat Hidayat Rahmat Hidayat Rahmat Hidayat Rais, Zulkifli Rajesh Kumar Ramli Umar Riny Jefri Rizal Bakri Robbi Rahim Rosidah Rosidah Rosidah Rosidah Ruliana Ruliana Ruliana, Ruliana Rusli Rusli Rusli Rusli Rusli Rusli Rusli Rusli Rustam, R. Rustam, Sitti Nailah Sahid Salim Al Idrus Salim Al Idrus Salsabila, Nurul Khofifah Sapto Haryoko Shofiyah Al Idrus Singh, Pawan Kumar Siti Nurazizah Auliah Sitti Masyitah Meliyana R. Sitti Rahmawati Sobirov, Bobur Sri Hastuti Virgianti Pulukadang Sri Muliani, Sri Sriwahyuni, Andi Ayu Suci Lestari Sutamrin, Sutamrin Suwardi Annas Suwardi Annas Syafruddin Side Tabash, Mosab Tonio, Sarinah Emilia Tri Santoso Triutomo, Agung Utomo, Agung Tri Wahab, Zamil wahyuni wahyuni Yunus, Asmar Zakiyah Mar'ah Zakiyah Mar'ah Zulkifli Rais