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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Simantec SEMIRATA 2015 ICON-CSE Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics AKSIOMA Demography Journal of Sriwijaya Jurnal Penelitian Sains JST ( Jurnal Sains Terapan ) JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Infomedia MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Riau Journal of Empowerment Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) KOMPUTEK Indonesian Journal of Applied Informatics Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Vokasi Jurnal Teknik Elektro dan Komputasi (ELKOM) International Journal of Applied Sciences and Smart Technologies Jurnal ABDINUS : Jurnal Pengabdian Nusantara Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang BERNAS: Jurnal Pengabdian Kepada Masyarakat JOINT (Journal of Information Technology Prima Abdika: Jurnal Pengabdian Masyarakat Pattimura International Journal of Mathematics (PIJMath) COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Diophantine Journal of Mathematics and Its Applications International Journal of Applied Sciences and Smart Technologies
Irmeilyana
Department Of Mathematics, Faculty Of Mathematics And Natural Science, University Of Sriwijaya
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REGRESSION MODEL ON PAGARALAM COFFEE FARMERS’ INCOME WITH THE INFLUENCE OF THE USE OF HERBICIDE REDUCTANT VARIABLE Irmeilyana, Irmeilyana; Ngudiantoro, Ngudiantoro; Maiyanti, Sri Indra
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (881.586 KB) | DOI: 10.30598/barekengvol16iss2pp409-420

Abstract

The existence of weeds in coffee fields will become competitors for coffee plants, so that they can be economically and ecologically detrimental. Inappropriate use of chemical herbicides can have a negative impact. Herbicide reductants made from organic are used in weed control. This study aims to analyze the variables that affect the net income of Pagaralam coffee farmers using multiple linear regression analysis. One of these variables is a qualitative variable in the form of categories of respondents based on the use of herbicide reductants. The data used was obtained from the results of questionnaires on 56 respondents who are users and 80 respondents who are not users of herbicide reductants. The results of the hypothesis test of mean difference found that the net income of the two respondent categories is not different. The regression analysis also resulted that there was no significant difference in net income between the two respondent categories. Variables that had a significant effect on net income included gross income, farming maintenance costs, estimated yields, and tree age. Several models also contain variables of land area, length of time in coffee farming, number of trees, and frequency of organic fertilizers used. Old coffee trees should be treated better with the use of organic fertilizers and also wise weed control techniques.
APPLICATION OF TWO GROUPS ANALYSIS AND CLUSTER ANALYSIS ON COMPARISON OF CHARACTERISTICS OF PAGARALAM COFFEE FARMERS CATEGORIES Irmeilyana, Irmeilyana; Ngudiantoro, Ngudiantoro; Maiyanti, Sri Indra
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.954 KB) | DOI: 10.30598/barekengvol17iss1pp0101-0112

Abstract

Land care is one of the factors that must be considered in the sustainability of coffee production. A small number of Pagaralam coffee farmers know and apply reductant herbicide in weed control. This study aims to compare the characteristics of Pagaralam coffee farmers based on the use of reductant herbicide by using two groups analysis and cluster analysis. The characteristics of the farmers studied included 17 variables on 165 respondents who were selected by purposive sampling. The variables studied include land productivity and farmers' income. Respondents were divided into 2 categories, namely users and non-users of reductant herbicide. The initial stages of data processing in the form of descriptive statistics, hypothesis testing by mean difference test, correlation between variables, Principal Component Analysis, and biplot analysis. According to the results of the two groups analysis and cluster analysis, the variables dominantly tend to characterize the similarity in comparison between the categories of non-users and users are the variables that join into one cluster, namely land area, number of trees, coffee bean production, estimated yield, total harvest, Gross income, and Net income. While the variables that dominantly characterize the dissimilarity between the two categories are the variables that form 5 separate clusters, namely the clusters of plantation productivity, respondent identity, education, tree age, and length of harvest period.
LOGISTIC REGRESSION MODELING OF REDUCTANT HERBICIDE IN PAGARALAM COFFEE FARMING Irmeilyana, Irmeilyana; Ngudiantoro, Ngudiantoro; Maiyanti, Sri Indra; Makhalli, Siddiq
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp1957-1968

Abstract

The presence of weeds can affect the productivity of coffee plants. The use of herbicides that are not wise in controlling weeds can have a negative impact on the quality of coffee production and land. This study aims to obtain a binary logistic regression model of the use of reductant herbicides by coffee farmers in Pagaralam South Sumatera. This research involved 165 coffee farmers, consisting of 81 farmers who used reductants and 85 farmers who did not use reductants. In the results of bivariate analysis, variables that have a significant effect on the status of using reductant herbicides, do not necessarily have a significant effect on the logistic regression model. Overall prediction accuracy of the model results of the enter method and backward method are respectively 78.2% and 76.4%. The two best models obtained show that farmer age, number of trees, number of family workers, and land productivity can reduce the probability value of farmers using reductant herbicide. On the other hand, variables that can increase the opportunity value of using reductants, starting with the greatest effect, are net income, length of harvest, frequency of herbicide use, frequency of use of organic fertilizers, and age of trees. Based on the factors that affect the use of reductants, coffee farmers should set aside costs for land maintenance, including costs for environmentally friendly weed control, so that they can support the coffee plants to continue producing optimally.
Pemanfaatan marketplace shopee sebagai strategi untuk meningkatkan pemasaran kain songket Desiani, Anita; Irmeilyana, Irmeilyana; Putri, Ajeng Islamia; Yuniar, Enyta; Calista, Nur Avisa; Makhalli, Siddiq; Amran, Ali
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 4 No 2 (2021)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v4i2.9222

Abstract

South Sumatera songket woven cloth is one of the cultural assets of South Sumatera Province which is usually used at weddings and other traditional ceremonies. One of the villages which is famous as a producer of songket cloth is a Penyandingan Village. The songket cloth industry in Penyandingan Village experienced a decline in turnover of up to 60% during the Covid-19 pandemic. This is supported by the lack of knowledge of society regarding marketing strategies and technology in marketing products. For this reason, Shopee market management training is needed for songket cloth craftsmen and the Penyandingan Village society through the Sriwijaya University Thematic Community Service team program so that the marketing of songket fabrics can reach a wide market and be able to compete with other products. The method used is the lecture method including data collection planning and implementation of activities. The research analysis uses descriptive analysis to provide a general description of the implementation of the Shopee marketplace training. After the training was carried out,  Penyandingan Village society was able to understand the material and apply it directly using the Shopee application, and could be applied on a sustainable scale so that sales of songket cloth could increase.
Pelatihan Pemanfaatan Gawai dan Perhitungan Keuangan Usaha dalam Menumbuhkan Jiwa Kewirausahaan pada Siswa SMK Irmeilyana, Irmeilyana; Ngudiantoro, Ngudiantoro; Maiyanti, Sri Indra; Setiawan, Arum; Zubaidah, Zubaidah
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025): Volume 5 Nomor 1 Tahun 2025 (Maret)
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v5i1.5052

Abstract

The entrepreneurial spirit is one of the basics for forming the competencies of vocational school graduates.  The lack or absence of ideas and enthusiasm (mental) for vocational school students to become entrepreneurs can be due to their mindset and skills (competencies) which are still lacking. The area of activity carried out is increasing the knowledge, skills and entrepreneurial spirit of students at SMK Negeri 1 Tanjung Batu, Ogan Ilir Regency, South Sumatra, through training in using gadgets, mastering digital literacy and using social media in digital marketing, as well as improving management skills. finance (including administration) through the use of Excel. This community service activity (PPM) also introduced several examples of business ideas and provides practical simulations of business simulations carried out by students participating in the Mathematics Entrepreneurship Course I in the current semester at the same time as PPM activity. Methods for implementing activities include presentations (material transfer), questions and answers and discussions, demonstrations/practices, simulations, and implementation assistance. Training on using smartphones to create creative content on social media can increase the enthusiasm of vocational school students majoring in TKJ (Department of Computer and Network  Engineering) in getting to know the world of business, so that they can also develop their entrepreneurial spirit and become more familiar with business ideas. Apart from that, students become more familiar with using Microsoft Excel for simple calculations on business financial bookkeeping problems, so that it can motivate them to further improve their competency in using devices. The involvement of students as assistants in implementing the PPM activities of the Village Lecture Scheme is a field practice from the Mathematics Entrepreneurship Course I (in the MBKM curriculum), so that they can gain experience, information and contribute to the community outside the campus, as well as business experience.
Media Sosial Sebagai Pemasaran Digital untuk Perajin Kain Songket di Desa Penyandingan Desiani, Anita; Gofar, Nuni; Andriani, Yuli; Irmeilyana, Irmeilyana; Nabila, Annisa; Muzayyadah, Fathona Nur; Syarifuddin, Fauzi Yusuf; Kurnia, M Kahfi Aldi
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 6 No 2 (2022): Volume 6 Nomor 2 Tahun 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v6i2.16682

Abstract

Penyandingan Village is part of the Ogan Ilir District, Indralaya District. Songket craftsmen are the main source of income besides farmers and traders in the Penyandingan village. Nearly 90% of the women in the Penyandingan village are songket craftsmen. The difficulty of songket craftsmen is in terms of marketing their handicrafts. Craftsmen need breakthroughs so that their products are widely distributed, one of which is utilizing information technology such as social media. Many economic actors, both individuals and groups, use social media to market their products. Unfortunately, the knowledge of pairing village songket craftsmen is still lacking in utilizing social media in marketing songket fabrics such as promotions on Instagram, business WhatsApp, and business Facebook. By implementing the use of social media in the marketing of songket cloths from Penyandingan village, it can help increase village income and promoting the songket cloth of Penyandingan village.
Combination Contrast Stretching and Adaptive Thresholding for Retinal Blood Vessel Image Anita Desiani; Irmeilyana Irmeilyana; Endro Setyo Cahyono; Des Alwine Zayanti; Sugandi Yahdin; Muhammad Arhami; Irvan Andrian
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i1.1654

Abstract

To diagnose diabetic retinopathy is to segment the blood vessels of the retinal, but the retinal images in the DRIVE and STARE datasets have varying contrast, so the enhancement is needed to obtain a stable image contrast. In this study, image enhancement was performed using the Contrast Stretching and continued with segmentation using the Adaptive Thresholding on retinal images. The image that has been extracted with green channels will be enhanced with Contras Stretching and segmented with Adaptive Thresholding to produce a binary image of retinal blood vessels. The purpose of this study was to combine image enhancement techniques and segmentation methods to obtain valid and accurate retinal blood vessels. The test results on DRIVE were 95.68 for accuracy, 65.05% for sensitivity, and 98.56% for specificity. The test results of Adam Hoover’s ground truth on STARE were 96.13% for, 65.90% for sensitivity, and 98.48% for specificity. The test results for Valentina Kouznetsova’s ground truth on the STARE were 93.89% for accuracy, 52.15% for sensitivity, and 99.02% for specificity. The conclusion obtained is that the processing results on the DRIVE and STARE datasets are very good with respect to their accuracy and specificity values. This method still needs to be developed to be able to detect thin blood vessels with the aim of being able to improve and increase the sensitivity value obtained.
Penggunaan Alat Peraga Matematika dan IPA Untuk Meningkatkan Literasi dan Numerasi Siswa SDN 1 Indralaya Utara Maiyanti, Sri Indra; Irmeilyana, Irmeilyana; Ngudiantoro; Arum Setiawan
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i2.16794

Abstract

SD Negeri 1 Indralaya Utara di Desa Tanjung Baru merupakan SD yang paling awal beroperasi di Kecamatan Indralaya Utara, tetapi status akreditasinya masih C. Rasio guru: siswa sebesar 1:10 dan fasilitas sekolah yang relatif belum memadai, maka sangat perlu untuk meningkatkan kompetensi dari guru untuk keberhasilan proses belajar mengajar yang optimal dan kondusif. Tujuan kegiatan PPM ini adalah untuk membantu meningkatkan kompetensi guru dalam menjelaskan konsep-konsep Matematika dan IPA melalui pembelajaran yang kolaboratif dan komunikatif dengan siswa, dan pemanfaatan potensi lingkungan ekologis sekitar sebagai sumber belajar dan media bagi peningkatan literasi dan numerasi siswa. Kegiatan diawali dengan sosialisasi dan pelaksanaan pre-test. Metode pelaksanaan kegiatan berupa pelatihan, yang terdiri dari presentasi oleh Tim Pelaksana PPM, diskusi, dan implementasi pembelajaran kolaboratif dalam pembelajaran konsep Matematika dan IPA. Berdasarkan kegiatan PPM yang telah dilakukan, terjadi peningkatan kemampuan siswa dalam literasi dan numerasi. Hal ini salah satunya dapat dilihat dari rata-rata peningkatan banyak siswa yang menjawab pertanyaan dengan benar sebesar 8,75%. Selain itu ada peningkatan rata-rata respons dan sikap siswa terhadap pembelajaran Matematika dan IPA dengan menggunakan alat peraga. Guru lebih termotivasi untuk meningkatkan pembelajaran yang lebih interaktif dengan memanfaatkan media peraga dan juga melalui media alam sekitar.
Grouping Weekly Weather Based on Weather Elements in Pagaralam by Using K-Means Clustering Analysis Sri Indra Maiyanti; Irmeilyana; Putri Nilam Cayo; Dinny Indah Angelia; Angelina
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 1 (2026): Volume 08, Issue 1, June 2026
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/w2m4fy05

Abstract

Weather is the result of the interaction and combination of various atmospheric elements that occurs in a relatively small place or region over a short period of time. This study aims to analyze weekly weather characteristics in Pagaralam using the K-Means Clustering method. The data used was weekly weather in 2022 and 2023 with 15 variables, namely Maximum temperature, Minimum temperature, Temperature, Dew, Humidity, Precipitation, Precipitation cover, Wind gust, Wind speed, Wind direction, Sea pressure, Cloud cover, Solar radiation, UV Index, and Moon phase. The analysis process began with data standardization, followed by clustering using K-Means Clustering with several K values to observe variations in cluster structure. The optimal number of clusters was determined using the elbow and silhouette methods. The best optimal K value ​​for each of the 2022 and 2023 data was K=3. A small number of weeks in both years had high temperatures and solar radiation and accompanied by lower dew, humidity, precipitation, and cloud cover than other weeks. A small number of weeks in 2022 had low minimum temperature and were also accompanied by lower cloud cover, dew, and humidity, but they had higher wind gusts and wind speeds than other weeks. Meanwhile, a small number of weeks in 2023 had lower temperatures and accompanied by higher cloud cover, wind gusts, and wind speeds than other weeks.
DIAGNOSA PENYAKIT PARKINSON DENGAN ALGORITMA K-NEAREST NEIGHTBOR DAN DECISION TREE C4.5 Anita Desiani; Narti Narti; Indri Ramayanti; Muhammad Arhami; Irmeilyana Irmeilyana
Jurnal Simantec Vol 12, No 1 (2023): Jurnal Simantec Desember 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i1.21167

Abstract

Parkinson kamislot adalah suatu penyakit dimana neurologis mempengaruhi neuron dopaminergik, yang dibuktikan dengan kematian sel-sel otak yang ada, hilangnya pigmentasi substantia nigra, adanya inklusi sitoplasma, dan penurunan kadar dopamin di substantia nigra pars compacta dan corpus striatum. Penyakit parkinson dapat didiagnosa dengan melakukan pengklasifikasian untuk mengukur tingkat akurasi. Tujuan dari penelitian ini adalah untuk melakukan diagnosa penyakit Parkinson dengan dua algoritma yang berbeda, yaitu algoritma K-Nearest Neighbor (KNN) dan algoritma C4.5 dengan metode pelatihan Percentage split dan validasi K-fold cross yang nantinya kan dibandingkan satu sama lain. Dari penelitian ini, nilai presisi yang dimiliki penderita Parkinson's disease algoritma C4.5 split persentasenya adalah 96%. Begitu juga untuk nilai recall yang dimiliki oleh penderita penyakit Parkinson yaitu sebesar 93%. Nilai akurasi algoritma K-Nearest Neighbor (KNN) adalah 82% untuk metode pelatihan pada percentage split dan 76,8% dengan metode validasi K-fold cross dan 89% untuk algoritma C4.5 dengan metode pelatihan pada Percentage split dan 81% dengan metode validasi K-fold cross.Kata kunci: C4.5, K- Fold Cross Validation, K-Nearest Neighbor, Parkinson, Percentage Split
Co-Authors , Ali Amran Affandi, Azhar Kholiq Agus lukowi Ajeng Islamia Putri albar Pratama Ali Amran Ali Amran Anasari Anasari Andini, T Angelina Anita Desiani Anita Desiani Annisa Kartikasari Annisa Nabila, Annisa Arhami, Muhammad Arum Setiawan Arum Setiawan Arum Setiawan Bambang Suprihatin Bella Arisha Berry Gultom Cahyani, Kariah Ayu Cahyono, Endro Setyo Cahyono Calista, Nur Avisa Candra, Stefanie Fortunita Danny Matthew Saputra Danny Matthew Saputra Derry Alamsyah Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Desty Rodiah Dinny Indah Angelia Dwi Fitrianti Dwipurwani, O Endang Sri Kresnawati Endang Sri Kresnawati Endro Setyo Cahyono Enyta Yuniar Ferani Eva Zulvia fildzah daniela, nyayu audy Fitra Nur Azizah Fitri Maya Puspita Hadi Tanuji Henny Nur Syafitri Hermansyah Hermansyah Iffah Husniah Indah Amalia, Indah Indah Verdya Alvionita Indrawati Indrawati Indrawati Indri Andarini Indri Ramayanti Indrike Febriyanti Irvan Andrian Isma Nislandra Juniwati Juniwati Kurnia, M Kahfi Aldi Lady Yulita Yulita Laila Hanum Losyta Agustina Lubis, Andika Cristian Makhalli, Siddiq Maya Meilensa Maya Meilensa Meiza Putri Lestari Meta Adilah Mirza Denia Putri Muhammad Akbar Muhammad Arhami Mukhlizar Nirwan Samsuri Mukhlizar Nirwan Samsuri Mutiara, Siti Rahma Muzayyadah, Fathona Nur Narti Narti Narti Narti, Narti Ngudiantoro . Ngudiantoro Ngudiantoro Ngudiantoro Ngudiantoro Ngudiantoro Ngudiantoro Ning Eliyati NUNI GOFAR Nur Avisa Calista Oky Sanjaya Putra B. J. Bangun Putra BJ Bangun Putra BJ Bangun Putri Nilam Cayo Putri, Ajeng Islamia Putri, Rizki Eka Putri, Wine Zea Rahayu Tamy Agustin Ramadhan, Raihan Rana Sania Rana Sania Rifkie Primartha Robinson Sitepu Rufi'i Sasongko, Muhammad Aditya Savera, Mutiara Siddiq Makhalli Simamora, Valentino Sri Indra Maiyanti Sri Indra Maiyanti Sri Indra Maiyanti Sri Indra Maiyanti Sugandi Yahdin Sugandi Yahdin Suratama, Bintang Syarifuddin, Fauzi Yusuf Yadi Utama Yuanita Windusari Yuli Andriani Yuniar, Enyta Z, Des Alwine Zubaidah R, Zubaidah