Claim Missing Document
Check
Articles

Found 10 Documents
Search

Training on ant sugar production to increase people's income in Ba'ka Village, Enrekang Syarif, Irman; Agusriandi, Agusriandi; Elihami, Elihami; Samad, Ita Sarmita; Wahyuni R, Sry
Community Empowerment Vol 6 No 7 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.796 KB) | DOI: 10.31603/ce.4943

Abstract

Most of the people of Ba'ka Village are conventional palm sugar farmers whose whose selling prices are cheap. The purpose of this service is to provide innovation in palm sugar into ant sugar. Through training in making ant sugar, it is hoped that it can increase people's income. The stages of community service include needs analysis, problem formulation, work program formulation, and work program implementation, and evaluation. This service activity produces ant sugar products that are packaged in a modern way. Ant sugar products can attract consumers because they are more durable, hygienic, and practical.
Identifikasi Bawang Merah dan Bombay dengan Pendekatan Radial Basis Function Neural Network (RBFNN) Agusriandi, Agusriandi; Elihami, Elihami; Widiawati, Wilda
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2334

Abstract

A fact that identification in a human knowledge is very important role. Identification is able to summarize the knowledge, so it is easy to understand. Therefore, the classification of leek or red onion is an interesting study because the similarity of physical appearance of morphology between these two commodities is difficult to distinguish directly. This research tries to detect the difference between Bombay onion and red onion by using neural network with RGB color feature extraction method and gabor filter. The results of the detection are able to classify the types of onions, whether the onion is included in the type of leek or red onion. Many methods can be used to perform classification, one of which is Radial Basis Function Neural Network (RBFNN). After performing simulation with Matlab program, 100 images that become test data can be recognized perfectly. 
Peningkatan Kreativitas Matematika Melalui Model Vark-Fleming pada Siswa Kelas VIII2 SMP Negeri 3 Mattiro Sompe Agusriandi Agusriandi
DIFERENSIAL: JURNAL PENDIDIKAN MATEMATIKA Vol 1 No 2 (2021): Diferensial: Jurnal Pendidikan Matematika
Publisher : Universitas Muhammadiyah Enrekang

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

Abstract

. Tujuan penelitian ini adalah untuk mengetahui bahwa kreativitas matematika dapat ditingkatkan melalui model Vark-Fleming pada siswa kelas VIII2 SMP Negeri 3 Mattiro Sompe. Jenis penelitian ini merupakan penelitian tindakan kelas (classroom action research) yang pelaksanaannya meliputi 4 tahapan yaitu: perencanaan (planing), tindakan (action), observasi (observation), dan refleksi (reflection). Subjek penelitian ini adalah siswa kelas VIII2 semester ganjil dengan jumlah murid 25 orang. Data peneltian ini diperoleh dengan menggunakan instrumen penelitian berupa tes kreativitas matematika dan lembar observasi. Berdasarkan analisis statistika deskriptif diperoleh nilai rata-rata kreativitas matematika pada siklus II sebesar 64,33, meningkatnya rata-rata persentase aktivitas siswa yang sesuai dengan pembelajaran pada siklus I sebesar 72,38% menjadi 83,81% pada siklus II, menurunnya rata-rata persentase aktivitas siswa yang tidak sesuai dengan pembelajaran pada siklus I sebesar 21,33% menjadi 10,67% pada siklus II, dan meningkatnya rata-rata kemampuan guru mengelola pembelajaran dari siklus I sebesar 3,36 menjadi 4,49 pada siklus II, hal ini berarti bahwa model Vark-Fleming dapat meningkatkan kreativitas matematika pada siswa kelas VIII2 SMP Negeri 3 Mattiro Sompe.
Bimbingan Teknis Pengelolaan Pembelajaran secara Video Conference dengan aplikasi Zoom dan Youtube di Era Pandemi Covid-19 Agusriandi Agusriandi; Mutmainnah Mutmainnah; Elihami Elihami; Yunus Busa
MATAPPA: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2020): September
Publisher : STKIP Andi Matappa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31100/matappa.v3i2.706

Abstract

The aims to provide teachers and lecturers with understanding and skills on how to manage learning online or online. This stage of community service includes analyzing the need for an online learning management platform, conducting technical guidance, and conducting evaluations. After the technical guidance activity, the participants liked the material and speakers in the technical guidance which indicated that the participants understood the material presented by the resource persons. Based on the evaluation results it was found that the implementation of this activity was successful with a high level of attendance of the participants, a level of likeness that was evenly distributed in all material presented by the resource persons, and a very high level of satisfaction with the guidance committee services.
Bimbingan Teknis Pembuatan Media Pembelajaran Digital secara daring oleh civitas akademika ditengah pandemi Covid-19 Yunus Busa; Agusriandi; Elihami; Mutmainnah
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2020): Agustus
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/caradde.v3i1.501

Abstract

Program pengabdian masyarakat atau abdimas Universitas Muhammadiyah Enrekang adalah program yang diselenggarakan dengan tujuan memberikan pengetahuan kepada para civitas akademika tentang tata cara pembuatan media pembelajaran. Tahapan pengabdian masyarakat ini meliputi analisis kebutuhan media pembelajaran digital, mengadakan bimbingan teknis, dan melakukan evaluasi. Setelah dilakukannya kegiatan bimbingan teknis peserta telah mampu membuat media pembelajaran seperti presentasi, video, interaktif, dan android. Berdasarkan hasil evaluasi ditemukan bahwa pelaksanaan kegiatan ini berjalan sukses dengan tingkat kehadiran peserta yang tinggi, tingkat kesukaan yang merata pada seluruh materi yang disajikan narasumber, dan tingkat kepuasan terhadap pelayanan yang sangat tinggi.
DEVELOPING DELAY JITTER, THROUGHPUT, AND PACKAGE LOST: IPERF3 for Learning Islamic Education Agusriandi Agusriandi; Elihami Elihami
Jutkel: Jurnal Telekomunikasi, Kendali dan Listrik Vol 2 No 1 (2020): Jutkel: Jurnal Telekomunikasi, Kendali dan Listrik
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare kerjasama P3M STKIP Muhammadiyah Enrekang

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

Abstract

Many providers offer the best Quality of Service. However, the offer is not always true in fact. Therefore, the purpose of this research is to know: (i) variation of delay that occurs, whether the greater the load of traffic provided will also affect the quality of jitter. (ii) the reliability of the packet to the destination (throughput) (iii) how reliable the technology is used in maintaining a packet for forwarding to investigate for learning Islamic Education by using mobile. The method used is to communicate directly with iperf.he.net server (216.218.227.10) for 30 seconds using some background traffic using iperf3 application. The experimental results are averaged and analyzed by comparing QoS of Jitter, Throughput, and Packet loss. From the experiment results it is known that scenario 2 (provider telkomsel) is the least delay and most stable according to TIPHON standard for learning Islamic Education by using mobile.
RANCANG BANGUN APLIKASI KAMUS BAHASA MASSENREMPULU BERBASIS WEB Agusriandi Agusriandi
Edumaspul: Jurnal Pendidikan Vol 2 No 1 (2018): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (915.73 KB) | DOI: 10.33487/edumaspul.v2i1.15

Abstract

Penelitian ini didasarkan pada keprihatinan terhadap salah satu budaya/bahasa lokal di Sulawesi Selatan yang secara perlahan namun pasti tergerus oleh perkembangan zaman. Tujuan penelitian ini adalah untuk menerapkan pencarian secara dinamis berbasis web untuk menampilkan padanan kata, gambar, dan contoh kalimat bahasa Massenrempulu Kabupaten Enrekang, Sulawesi Selatan sesuai dengan kata yang dimasukkan dalam bahasa Indonesia. Tahapan penelitian ini adalah : (1) Menentukan fungsi utama; (2) Perancangan aplikasi; (3) Implementasi pencarian secara dinamis menggunakan live search AJAX pada aplikasi kamus Massenrempulu. Berdasarkan penelitian ini telah dihasilkan sebuah aplikasi kamus Bahasa Massenrempulu berbasis web dengan model pencarian yang sangat dinamis berbasis web.
Meningkatkan Hasil Belajar Program Linear Melalui Penggunaan Aplikasi Geogebra Siswa Kelas XI MIPA 1 Di SMAN 2 Enrekang Sumi sumi; Nurdin Nurdin; Agusriandi Agusriandi
DIFERENSIAL: JURNAL PENDIDIKAN MATEMATIKA Vol 3 No 2 (2022): Diferensial Jurnal Pendidikan Matematika
Publisher : Universitas Muhammadiyah Enrekang

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

Abstract

Penelitian ini bertujuan untuk mengetahui proses belajar dan hasil belajar matematika siswa kelas XI MIPA 1 di SMAN 2 Enrekang melalui penggunaan aplikasi geogebra pada materi program linear. Hasil penelitian menunjukkan bahwa penggunaan aplikasi geogebra pada materi program linear dapat meningkatkan hasil belajar siswa kelas XI MIPA 1 di SMAN 2 Enrekang. Hal ini berdasarkan pada hasil rata-rata hasil belajar individu siswa sebanyak 64,6 dan ketuntasan belajar klasikal sebanyak 45% pada siklus I naik menjadi 81,4 rata-rata hasil belajar individu siswa dan sebanyak 75% ketuntasan belajar klasikal. Berdasarkan hasil penelitian, maka dapat disimpulkan bahwa penggunaan aplikasi geogebra pada materi program linear dapat meningkatkan hasil belajar siswa kelas XI MIPA 1 di SMAN 2 Enrekang.
Model Analisis Aktivitas Tutor Dalam Learning Management System Berdasarkan Data Log Menggunakan K-Means Dan Deteksi Outlier Agusriandi Agusriandi; Elihami Elihami; Irman Syarif; Ita Sarmita Samad
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9, No 4: Agustus 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022934764

Abstract

Pembelajaran tutor di LMS menyimpan data berupa log yang dapat dimanfaatkan menjadi pengetahuan tentang kinerja tutor. Kinerja tutor yang lemah akan berdampak pada kinerja mahasiswa, dan kinerja institusi secara keseluruhan. Oleh karena itu, tujuan penelitian ini untuk (1) mendeskripsikan dan memantau kinerja tutor yang lemah pada aplikasi LMS berbasis moodle berdasarkan data log, (2) mendeteksi tutor yang termasuk dalam kategori outlier berdasarkan aktivitas yang dilakukan di LMS. Tahapan penelitian ini terdiri atas 4 tahap, yaitu melakukan pengambilan data log aktivitas tutor selama satu semester (n =25), melakukan analisis deskriptif, dan analisis clustering dengan k-means dan deteksi outlier. Hasil temuan penelitian ini menunjukkan bahwa sebagian besar tutor memanfaatkan LMS hanya untuk mengumpulkan tugas, menampilkan materi dan sedikit yang disertai dengan aktivitas-aktivitas lain seperti forum, diskusi, quiz dan lainnya. Tutor dalam menampilkan standar isi atau konten hanya memberikan instruksi pengumpulan tugas dan menampilkan materi dengan menyertakan link atau video dari sumber lain. Fakta lain menunjukkan bahwa tutor jarang memberikan feedback (umpan balik) baik secara narasi maupun penilaian ketika memberikan tugas sehingga totur dalam melakukan pembelajaran online belum memenuhi standar proses pada pembelajaran online. Oleh karena itu, sebagian besar tutor underperformed karena isi dan proses pembelajaran onlinenya belum sesuai standar. AbstractThe Tutors’ learning in LMS stores data in logs which can be used as knowledge to find out about tutor performance. The tutors were weak performance have been an impact on student performance, and the performance of the institution as a whole. Therefore, this study aims to (1) describe and monitor the weak performance of tutors in the LMS application based on log data, (2) detect tutors who are included in the outlier category based on the activities in the LMS. The stages of this research were 4 stages, namely collected log data of tutors' activities for one semester (n = 25), conducted descriptive analysis, clustered analysis with K-means, and outlier detection. The results were most tutors used LMS only to collected assignments, presented material and a few were activities such as forums, discussions, quizzes and others. Tutors presented standard content was only provide instructions for submitted assignments and displayed material by including links or videos from other sources. Another fact showed who were tutors rarely provided feedback both in narrative and assessment when giving assignments so that the tutors in doing online learning has not met the standard process in online learning. Therefore, most of the tutors have underperformed because the content and learning process have not up to standard.
Penerapan Data Mining Dalam Analisis Penilaian Kinerja Pegawai Menerapkan Metode K-Means Supriadi Sahibu; Rismawati Bambang; Imran Taufik; Agusriandi Agusriandi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5100

Abstract

The organization, including local government agencies, in the face of increasingly fierce competition, must improving employee performance if they want to exist. As an effort to improve employee performance, various strategies were needed, one of which is clustering analysis of employee performance. Clustering analysis is very important in an effort to gain knowledge from employee activities quickly compared to manual methods. Therefore, in this study an analysis of employee performance was carried out based on the Employee Performance Targets (SKP), which was divided into 2, namely the 2020 SKP Printout and the 2021 SKP questionnaire. From the results of the K-Means Cluster it produced a more convincing questionnaire SKP cluster because there was a distribution that was more dominated by employee performance that good and the outliers are of little value, and the difference in the Sum of Square values of the SKP printout and questionnaire clusters that not too far away, only 21% so that the characteristics of the cluster results are almost identical. Cluster results described the real conditions of employee performance.