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Workshop Pembuatan Souvenir dari Bahan Upcycle bagi Anak Disabilitas di UPT SLB Negeri 1 Bulukumba guna Meningkatkan Keterampilan Vokasional Meliyana, Sitti Masyitah; Ahmar, Ansari Saleh; Yunus, Asmar; Jamaluddin, Jamaluddin
ARRUS Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.abdiku3404

Abstract

Workshop pembuatan souvenir dari bahan upcycle merupakan salah satu program yang bertujuan untuk meningkatkan keterampilan vokasional anak dengan disabilitas. Kegiatan ini dilaksanakan di UPT SLB Negeri 1 Bulukumba dengan fokus pada pengolahan bahan bekas menjadi produk kreatif dan bernilai ekonomi. Metode pelaksanaan meliputi pemberian materi dasar tentang konsep upcycle, pelatihan teknik produksi, dan pendampingan langsung selama proses pembuatan souvenir. Bahan yang digunakan sangat mudah di dapatkan yaitu dari bagian dari pohon kelapa. Hasil kegiatan menunjukkan bahwa peserta mampu memahami konsep upcycle dan menghasilkan produk kreatif yakni souvenir replika perahu pinisi. Selain meningkatkan keterampilan praktis, workshop ini juga memberikan dampak positif terhadap kepercayaan diri dan motivasi peserta dalam mengembangkan potensi diri. Program ini diharapkan menjadi model pemberdayaan yang dapat diterapkan di berbagai lembaga pendidikan khusus untuk mendukung kemandirian ekonomi anak disabilitas.
Design of Quantized Deep Neural Network Hardware Inference Accelerator Using Systolic Architecture Rifqie, Dary Mochamad; Djawad, Yasser Abd.; Samman, Faizal Arya; Ahmar, Ansari Saleh; Fakhri, M. Miftach
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci2689

Abstract

This paper presents a hardware inference accelerator architecture of quantized deep neural networks (DNN). The proposed accelerator implements all computation in a quantize version of DNN including linear transformations like matrix multiplications, nonlinear activation functions such as ReLU, quantization and dequantization operation. The hardware accelerator of quantized DNN consists of matrix multiplication core which is implemented in systolic array architecture, and the QDR core for computing the operation of quantization, dequantization, and ReLU. This proposed hardware architecture is implemented in Verilog Hardware Description Language (HDL) code using modelsim. To validate, we simulated the quantized DNN using Python programming language and compared the results with our proposed hardware accelerator. The result of this comparison shows a very slight difference, confirming the validity of our quantized DNN hardware accelerator.
Barriers to Effective Learning: Examining the Influence of Delayed Feedback on Student Engagement and Problem Solving Skills in Ubiquitous Learning Programming Fakhri, M. Miftach; Ansari Saleh Ahmar; Rosidah, Rosidah; Fadhilatunisa, Della; Tabash, Mosab
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci2825

Abstract

The rapid evolution of technology has reshaped the educational landscape, ushering in ubiquitous learning environments that provide learners with unparalleled access to educational resources at any time and location. This study aimed to investigate the impact of delayed feedback on student engagement and problem-solving skills in ubiquitous learning programming environments. The purpose was to understand how different forms of student engagement—behavioral, emotional, and cognitive—influence problem-solving abilities and how students perceive and handle delayed feedback. A quantitative method was employed using a cross-sectional survey design. Data were collected from 293 students enrolled in the Department of Informatics and Computer Engineering, Faculty of Engineering, Makassar State University, who had studied web and mobile programming courses. Standardized questionnaires were administered to measure variables. Quantitative data analysis involved descriptive statistical analysis and structural equation modeling (SEM) using SmartPLS 4.0. The research results revealed that behavioral engagement (BE) significantly improves problem-solving skills and helps students better handle delayed feedback. Emotional engagement (EE) has the strongest influence on problem-solving abilities and responses to delayed feedback. Cognitive engagement (CE), while not directly enhancing problem-solving skills, significantly aids in the management of delayed feedback. These findings underscore the importance of fostering behavioral and emotional engagement to enhance problem-solving skills and mitigate the adverse effects of delayed feedback. Strategies such as gamification, real-time collaboration, and immediate feedback mechanisms are essential to improve learning outcomes in ubiquitous learning programming environments.
Pemberdayaan Aparat Desa Palakka melalui Pelatihan Penggunaan Sistem Informasi Administrasi Desa Rusli, R.; Ahmar, Ansari Saleh; Musa, Hastuty; Rahman, Abdul; Saputra, Andika
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2024)
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/panrannuangku3062

Abstract

Tujuan pelaksanaan kegiatan ini diharapkan akan meningkatkan pengetahuan dan keterampilan aparat desa dalam pelayanan administrasi desa yang diharapkan dapat menjadikan Desa Palakka menjadi Desa Digital. Pelayanan adminstrasi yang ada di Desa Palakka masih manual, dimana dokumen dibuat dalam bentuk word yang dimana jika ada layanan persuratan untuk berikutnya, aparat desa hanya melakukan edit dan mengganti identitas masyarakat yang ada di file word sehingga dokumen yang dibuat tersebut tidak terarsip secara baik. Pada pelatihan dan pendampingan penggunaan dan peningkatan kemampuan teknologi aparat desa, dalam berbagai aspek teknologi informasi, antara lain: pelatihan pengelolaan sistem informasi desa, termasuk basis data penduduk, dan layanan publik; peningkatan pemahaman tentang konsep e-government, manajemen proyek IT, dan keamanan informasi; pembekalan keterampilan dalam menggunakan perangkat lunak dan aplikasi terkait e-government yang telah dikembangkan; dan pelatihan keterampilan komunikasi, manajemen waktu, dan kepemimpinan untuk efektivitas kerja tim.
Evaluating ARIMA Models for Short-Term Rainfall Forecasting in Polewali Mandar Regency Ahmar, Ansari Saleh; Mokhtar, Ali
JINAV: Journal of Information and Visualization Vol. 5 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav3266

Abstract

This study aims to forecast rainfall in Polewali Mandar Regency using the ARIMA model. This is a quantitative study that uses secondary data, specifically monthly rainfall data (in mm) from January 2008 to December 2020, obtained from the NERC EDS Centre for Environmental Data Analysis. Two ARIMA models were tested: ARIMA(0,1,1)(0,1,1)[12] and ARIMA(1,1,1)(0,1,1)[12], with model selection based on the Akaike Information Criterion (AIC), which balances model fit and complexity. The AIC calculation revealed that the ARIMA(1,1,1)(0,1,1)[12] model had a lower AIC value (1677.33) compared to the ARIMA(0,1,1)(0,1,1)[12] model (1678.16), making ARIMA(1,1,1)(0,1,1)[12] the preferred model. Using this model, the forecasted rainfall for the next five months is as follows: January 2021: 279.8745 mm, February 2021: 238.2206 mm, March 2021: 237.1745 mm, April 2021: 349.3206 mm, and May 2021: 336.0976 mm. These forecasts provide valuable information for water resource management, agricultural irrigation planning, and disaster mitigation related to rainfall. The study emphasizes the importance of selecting the appropriate model to improve forecasting accuracy.
Implementation of the Support Vector Regression (SVR) Method in Inflation Prediction in Makassar City Ruliana, Ruliana; Rais, Zulkifli; Marni, Marni; Ahmar, Ansari Saleh
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2608

Abstract

Inflation is an important economic indicator, the growth rate is always kept low and stable. One step to deal with the possibility of a high inflation rate is to know the picture of the inflation rate in the future by making predictions. Prediction is a method used to determine a value or need in the next period. Support Vector Regression (SVR) is a development of the Support Vector Machine (SVM) method which is used for regression cases which can handle non-linear data cases. The problem that often occurs when using the SVR method is determining optimal model parameters. One way to determine the best parameters for the SVR method is to use Grid Search Optimization. The stages of the SVR method include data normalization, dividing training data and testing data, using the Radial Basis Function kernel, selecting the best parameters using Grid Search Optimization, and making predictions using the best model obtained with parameters γ = 10, ∁ = 100, and ε. = 0.1 with k = 5. The prediction results obtained were then evaluated by looking at the RMSE value, the RMSE value obtained was 0.029, which means the model's ability to follow the data pattern well and the prediction results made were very good.
Analysis of Internet Addiction Indicators among Students in the Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar, Indonesia Upu, Hamzah; Ahmar, Ansari Saleh
EduLine: Journal of Education and Learning Innovation Vol. 4 No. 4 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.eduline3347

Abstract

This study aims to investigate the signs of internet addiction among students in the Statistics Study Program, Faculty of Mathematics and Natural Sciences (MIPA), Universitas Negeri Makassar (UNM). The study employed a survey method with a questionnaire completed by 204 students from the Statistics Study Program at UNM. The questionnaire included 20 questions covering various indicators of internet addiction, such as loss of control, using the internet as an emotional escape, satisfaction with internet use, preoccupation, academic impact, and difficulty in controlling internet use. The results indicate that a significant proportion of the surveyed students exhibit signs of internet addiction. Many respondents reported difficulties in regulating their internet use time, a tendency to use the internet as an emotional escape, and a high level of satisfaction and emotional dependence on online activities. Additionally, some students experienced negative impacts on their academic performance, such as decreased focus, delayed task completion, and disrupted sleep patterns due to excessive internet use. The findings emphasize the need for preventive measures and appropriate interventions to help students in the Statistics Study Program, UNM, manage their internet use in a healthier and more productive manner, thereby mitigating the adverse effects of internet addiction on their academic and overall well-being. Recommendations for future research include longitudinal studies, analyses based on demographic characteristics, qualitative explorations, instrument development, and multidisciplinary collaborations to further understand and address this issue.
Bimbingan Belajar Mahasiswa Matematika KKNT 2022 Sebagai Upaya Peningkatan Pengetahuan Akademik Anak-Anak Desa Mallongi-Longi, Kabupaten Pinrang, Sulawesi Selatan Side, Syafruddin; Irwan, Irwan; Farhan, Muhammad; Rahman, Muhammad Fatur; Ahmar, Ansari Saleh
Panrannuangku Jurnal Pengabdian Masyarakat 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/panrannuangku1628

Abstract

Bimbingan belajar yang diadakan pada kegiatan KKN Tematik merupakan suatu kegiatan yang bertujuan untuk meningkatkan pengetahuan akademik dan meningkatkan kualitas karakter dari anak-anak yang sedang menempuh pendidikan di Desa Mallongi-Longi, Kabupaten Pinrang, Sulawesi Selatan. Kegiatan tersebut diadakan di luar jam sekolah dan dilaksanakan sebanyak dua kali dalam sepekan. Sasaran dari kegiatan ini ialah anak-anak yang sedang berada di tingkatan SD dan SMP sederajat.
Pelatihan Pemanfaatan Reference Management Software Zotero Untuk Mendukung Pengelolaan Dokumen Ilmiah Mahasiswa Ahmar, Dewi Satria; Magfirah; Tri Santoso; Sri Hastuti Virgianti Pulukadang; Muhammad Fath Azzajjad; Ayu Rahayu; Edi Ilimu; Agus Nasir; Ahmar, Ansari Saleh
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (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/panrannuangku1762

Abstract

Kegiatan pengabdian kepada masyarakat (PkM) ini dilaksanakan pada Program Studi S-1 Pendidikan Kimia, Universitas Sembilanbelas November kolaka. Kegiatan PkM dilaksanakkan dengan mempertimbangkan hasil analisis situasi dan kebutuhan mahasiswa akan pemanfaatan reference management software Zotero untuk mendukung pengelolaan dokumen ilmiah mahasiswa. Pelatihan memiliki langkah-langkah: perencanaan, pelaksanaan dan evaluasi. Metode yang digunakan pada pelatihan adalah diskusi, Latihan/praktek dan simulasi melalui online learning. Peserta pelatihan terdiri dari 34 orang mahasiswa. Luaran yang diperoleh adalah 100% peserta telah mengetahui reference Management Software dalam pengelolaan dokumen ilmiah, 85.29% peserta telah mampu mengoperasikan reference management software Zotero dan 94.12 % peserta telah memiliki apllikasi reference management software Zotero.
The Community Empowerment in Managing Inorganic Recycled Waste in Tallo Subdistrict, Makassar city Meliyana R, Sitti Masyitah; Hafid, Hardianti; Ahmar, Ansari Saleh; Talib, Ahmad; Rahman, Abdul
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 3 No. 3 (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/panrannuangku2108

Abstract

Community service activities are a continuous effort to enhance the awareness and abilities of the residents in the Pannampu Village, Tallo Subdistrict, Makassar City, in the management of inorganic recycling waste. The purpose of these activities is to identify the potential of inorganic waste within the local community, provide education on sustainable waste management practices, and teach recycling skills to encourage active community participation in waste separation, support better waste management initiatives, and create creative recycling products, namely economically valuable handicrafts. The results of these activities depict an increase in community awareness regarding the importance of sustainable waste management practices, with a positive impact on the local environment. This community service initiative provides concrete evidence that collaboration between academics and the local community can create significant changes in the management of inorganic recycling waste and promote active community participation in maintaining a cleaner environment.
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