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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
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Pengolahan data menggunakan Toolspack Analysis Excel pada guru-guru di Kabupaten Takalar Rusli Rusli; Abdul Rahman; Ansari Saleh Ahmar; Sahid Sahid; Hastuty Hastuty
Seminar Nasional Pengabdian Kepada Masyarakat Vol 2019, No 3 (2019): PROSIDING 3
Publisher : Seminar Nasional Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (128.768 KB)

Abstract

Data processing using the Anaysis Toolspack is carried out in the form of training for junior high school teachers in Takalar district, in collaboration with the education and culture department of youth and sports in Takalar district. The training was attended by 34 teachers who were held in the office of the education and culture culture of the youth and sports district of Takalar. The purpose of this training is for skilled teachers to use statistical packages owned by Excel to process data and process data into one information. The results of the training show that the average ability of teachers to use statistics in the excel analysis toolspack package in processing and processing data after training is better than before training
Optimization of Digital-Based Library Services in MAN 1 Bulukumba: Optimalisasi Layanan Perpustakaan Berbasis Digital di MAN 1 Bulukumba Sutamrin Sutamrin; Abdul Rahman; Rusli Rusli; Ansari Saleh Ahmar; Khadijah Khadijah
Mattawang: Jurnal Pengabdian Masyarakat Vol. 3 No. 4 (2022)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (898.589 KB) | DOI: 10.35877/454RI.mattawang1336

Abstract

This Community Service is carried out by looking at the condition of the library's main books which are in disarray, the entry of books is not clear, lots of books are lost, whether they are borrowed, damaged, or for other reasons that are not clear, and many books are also destroyed without minutes so that an application is needed that can help the library to become more organized and monitored. The aim of PkM is to help optimize Digital-Based MAN 1 Bulukumba Library Services. PkM participants are librarians, teachers, and students of MAN 1 Bulukumba. The training implementation method consists of two stages, namely direct material presentation and mentoring, where material presentation is carried out in plenary and hands-on practice on how to install, introduce features and use them, and prospective library members also immediately try to open the application on their smartphone device. An analysis of the success of this PkM activity was carried out by observing the participants' ability to understand the material, the ability to use the application and the satisfaction of using the application, as well as the appearance of the application's features. The results of the activity were that this PkM succeeded in helping to optimize digital-based MAN 1 Bulukumba Library services. Participants are very able to understand the material and apply it in developing their library services such as being able to organize library books and Sistem Dewey Decimal Classification (DDC) are successfully implemented by classifying books according to their type and arranging the positions of these books so that they are easily found by library members. The ability to use applications by librarians is 100% because all library staff consisting of 4 librarians are able to provide library services through applications. Students and teachers who are prospective members of the library also managed to log in 100% to the MAN 1 Bulukumba Library application during the training. The satisfaction of the application users can be seen from the enthusiasm of the application users, and they have started to come and try to borrow books from the library. The development of display features and feature development is also very extraordinary. Librarians are able to adjust the appearance of features according to the identity of the school. There is a development of the barcode scan feature with a barcode that is made in each book and a notification feature via WhatsApp so that they can receive the latest information about borrowing their books. They can also transact using WhatsApp to extend the borrowing of books. Abstrak Pengabdian kepada Masyarakat (PkM) ini dilaksanakan dengan melihat kondisi buku induk perpustakaan yang amburadul, pencatatan buku masuk tidak jelas, banyak sekali buku-buku yang hilang, entah itu dipinjam, rusak, atau alasan lain yang tidak jelas, dan banyak juga buku dimusnahkan tanpa berita acara sehingga dibutuhkan suatu aplikasi yang dapat membantu perputakaan agar menjadi lebih terorganisir dan terpantau. Tujuan PkM yaitu untuk membantu Optimalisasi Layanan Perpustakaan MAN 1 Bulukumba Berbasis Digital. Peserta PkM yaitu pustakawan, guru, dan siswa-siswa MAN 1 Bulukumba. Metode pelaksanaan pelatihan terdiri atas dua tahapan yaitu pemaparan materi langsung dan pendampingan, dimana pemaparan materi dilakukan secara pleno dan paktek langsung bagaimana instalasi, pengenalan fitur-fitur dan penggunaannya, serta para calon anggota perpustakaan juga langsung mencoba membuka aplikasi di perangkat smartphone mereka. Analisis keberhasilan kegiatan PkM ini dilakukan dengan observasi kemampuan peserta memahami materi, kemampuan penggunaan aplikasi dan kepuasan penggunaan aplikasi, serta tampilan fitur aplikasi. Hasil kegiatan yaitu PkM ini berhasil membantu optimalisasi layanan Perpustakaan MAN 1 Bulukumba berbasis digital. Peserta sangat mampu memahami materi dan menerapkannya dalam mengembangkan pelayanan perpustakaannya seperti mampu mengorganisir buku-buku perpustakaan dan materi Sistem Dewey Decimal Classification (DDC) berhasil diterapkan dengan mengklasifikasikan buku sesuai dengan jenisnya dan mengatur posisi buku-buku tersebut agar mudah ditemukan oleh anggota perpustakaan. Kemampuan penggunaan aplikasi oleh pustakawan sudah 100% karena seluruh staf perpustakaan yang terdiri atas 4 orang pustakawan mampu memberikan pelayanan perpustakaan melalui aplikasi. Siswa dan guru yang menjadi calon anggota perpustakaan juga berhasil 100% login ke aplikasi Perpustakaan MAN 1 Bulukumba pada saat pelatihan. Untuk kepuasan pengguna aplikasi sendiri terlihat dari antusiasme pengguna aplikasi, dan sudah mulai berdatangan mencoba meminjam buku di perpustakaan. Perkembangan tampilan fitur dan pengembangan fitur juga sangat luar biasa. Pustakawan mampu menyesuaikan tampilan fitur sesuai dengan identitas sekolah. Ada pengembangan fitur scan barcode dengan barcode yang dibuat di setiap buku dan fitur notifikasi via whatsapp sehingga informasi terkini mengenai peminjaman buku mereka dapat mereka terima. Mereka juga dapat bertransaksi menggunakan whatsapp untuk perpanjangan peminjamam buku.
Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) Ansari Saleh Ahmar
JINAV: Journal of Information and Visualization Vol. 1 No. 2 (2020)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav303

Abstract

Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
Forecasting the Value of Oil and Gas Exports in Indonesia using ARIMA Box-Jenkins Ansari Saleh Ahmar; Miguel Botto-Tobar; Abdul Rahman; Rahmat Hidayat
JINAV: Journal of Information and Visualization Vol. 3 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav260

Abstract

The objective of the study was to forecast the value of oil and gas exports in Indonesia using the ARIMA Box-Jenkins. With this prediction, it is hoped that it can be a study for future policy making. This oil and gas export data is obtained from the Indonesian Central Bureau of Statistics (BPS) website, in raw data from January 2010 to March 2022. This data is predicted using the ARIMA method with the help of R software. The stages of data analysis with ARIMA include: data stationary test, build the model indication, parameter estimation and significance test, and residual diagnostic test of the model. The results of data analysis conducted in this study show that there are 3 indications of models that were generated, namely ARIMA(1,1,0); ARIMA(0,1,1); and ARIMA(1,1,0). From these 3 model indications, the best model was ARIMA(0,1,1) with AIC value of 2047.65.
Cross-Validation and Validation Set Methods for Choosing K in KNN Algorithm for Healthcare Case Study Robbi Rahim; Ansari Saleh Ahmar; Rahmat Hidayat
JINAV: Journal of Information and Visualization Vol. 3 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1557

Abstract

KNN categorization is simple and successful in healthcare. In this research's example case study, the KNN algorithm classified the new record as "Abnormal." The classification method began with choosing K, then calculating the Euclidean distance between the new record and the training set, finding the K nearest neighbors, then classifying the new record based on those K neighbors. The findings show that the KNN algorithm is effective in healthcare and highlight several shortcomings that should be addressed in future study. Weighting variables, choosing the best K value, and handling non-uniform data are these restrictions. The findings show the KNN algorithm's medical potential.
Predicting the Welfare Cost of Premature Deaths Based on Unsafe Sanitation Risk using SutteARIMA and Comparison with Neural Network Time Series and Holt-Winters Suwardi Annas; Ansari Saleh Ahmar; Rahmat Hidayat
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.%v.%i.1003

Abstract

Unhealthy and unsafe sanitation will make it easier for various diseases to attack the body. In addition, unsafe sanitation will also affect a country's economy, including declining welfare, tourism losses, and environmental losses due to the loss of productive land. The research aimed to estimate the welfare cost of premature deaths based on unsafe sanitation risks using the SutteARIMA, Neural Network Time Series, and Holt-Winters. The study analyzed estimates and projections of the welfare cost of premature deaths based on the risks of unsafe sanitation of BRICS countries (Brazil, Russia, Indonesia, China, and South Africa). The data in this research used secondary data. Secondary time series data was taken from the Environment Database of the OECD. Stat. (Mortality and welfare cost from exposure to environmental risks). The data on the study was based on variables: welfare cost of premature deaths, % GDP equivalent, risk: unsafe sanitation, age: all, sex: both, unit: percentage, and data from 2005 to 2019. The three forecasting methods (SutteARIMA, Neural Network Time Series, and Holt-Winters) were juxtaposed in fitting data to see the forecasting methods' reliability and accuracy. The accuracy of forecasting results was compared based on MAPE and MSE values. The results of the research showed that the SutteARIMA and NNAR(1,1) methods were best used to predict the welfare cost of premature deaths in view of unsafe sanitation risks for BRICS countries.
Quality and User Satisfaction of SIMPADU in Business English Study Program of Languages and Literature Faculty of Universitas Negeri Makassar, Indonesia Riny Jefri; Ansari Saleh Ahmar
Quantitative Economics and Management Studies Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems1689

Abstract

This study aims to examine the effect of system quality seen from reliability, ease of use, flexibility and functionality to SIMPADU user satisfaction Universitas Negeri Makassar within Faculty of Languages and Literature in Business English study program active in odd semester 2014/2015. This study also proves that simultaneously or together - Reliability, Ease of use, flexibility, and functionality have significant effect on SIMPADU user satisfaction.
Analisis Pengaruh Profitabilitas, Ukuran Perusahaan, dan Reputasi Auditor terhadap Audit Delay pada Perusahaan Otomotif yang Terdaftar di Bursa Efek Indonesia Tahun 2015-2020 Menggunakan Regresi Logistik Hardianti Hafid; Ansari Saleh Ahmar; Zulkifli Rais
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 5 No. 01 (2023)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm71

Abstract

This research aims to determine whether profitability, company size, and auditor reputation significantly influence audit delay using binary logistic regression analysis. The research results indicate that profitability has a significant individual (partial) effect on audit delay, while company size and auditor reputation do not have a significant individual (partial) effect on audit delay
Pemodelan Regresi Data Panel pada IPM di Sulawesi Selatan Zakiyah Mar'ah; Ruliana Ruliana; Ansari Saleh Ahmar; Zulkifli Rais
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 5 No. 01 (2023)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm72

Abstract

HDI is an important indicator to measure success in efforts to build the quality of human life (community/population). HDI can determine the rank or level of development of a region/country. For Indonesia, HDI is strategic data because apart from being a measure of government performance, HDI is also used as an allocator for determining the General Allocation Fund (DAU). The development of HDI in Indonesia has always increased from year to year. In South Sulawesi, the HDI has increased significantly in the last 10 years. Where in 2012 the HDI of South Sulawesi was at 67.26 to 72.82 in 2022. This is measured based on three essential aspects, namely longevity and healthy living, knowledge, and a decent standard of living. Along with HDI, other indicators also show an increase from year to year. To find out how much these variables affect the increase in HDI during the 2018-2022 period, the panel data regression method is used which is a combination of time series data and cross section data. The regression model that is suitable for South Sulawesi HDI data from 2018-2022 is a panel data regression model with one-way random effects, namely individual effects. The model is written as follows IPM=(-1.9360e+01) + (1.0734e+00) UHH + (1.4014e-03) PPK + e
Rainfall Forecasting in Makassar City Using Triple Exponential Smoothing Method Irwan Irwan; Muhammad Abdy; Ersa Karwingsi; Ansari Saleh Ahmar
ARRUS Journal of Social Sciences and Humanities Vol. 3 No. 1 (2023)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum1707

Abstract

The purpose of this study is to determine the appropriate forecasting method for predicting rainfall in Makassar City in 2022. This research is based on the problems that are often experienced by the people of Makassar City, namely the occurrence of flooding which results in traffic jams due to high x rainfall which continuously occurs. for several days in a row. With this research, people can see the prediction of rainfall and anticipate flooding in Makassar City. The results of the Makassar city rainfall data plot experience increases and decreases (fluctuations), which tend to repeat every year. This shows that Makassar City's rainfall contains seasonal factors. Therefore the method used is one-parameter Brown triple exponential smoothing, three-parameter Holt-Winters additive and Holt-Winters multiplicative. The forecasting results show that the correct method to use is the Holt-Winters multiplicative method with a parameter value of a=0.001 β=0.15 γ=0.002 which produces a minimum value of MAPE = 1.18 MAD = 136.23 compared to the Brown and Holt-Winters methods additive. Forecasting results using the Holt-Winters multiplicative method show that the highest rainfall occurs from December to April 2022.
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 Tri Utomo, Agung Triutomo, Agung Wahab, Zamil wahyuni wahyuni Yunus, Asmar Zakiyah Mar'ah Zakiyah Mar'ah Zulkifli Rais