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Analisis Peran Penyuluh Pertanian dalam Pengembangan Usaha Tani Jambu Mete (Studi Kasus: Kelurahan Watulea, Kecamatan Gu, Kabupaten Buton Tengah) Yusran, Muhammad; Sahusilawane, Aphrodite M; Damanik, Inta P N
Jurnal Agrosilvopasture-Tech Vol 4 No 1 (2025): Jurnal Agrosilvopasture-Tech
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/j.agrosilvopasture-tech.2025.4.1.46

The objective of this research was to analyze the role of agricultural extension worker in developing cashew farming in Watulea Village, Gu District, Buton Tengah Regency based on productivity of cashew farm that still in low category, whereas this village is one of the cashew production centers in Sulawesi Tenggara Province. There were various problems faced by cashew farmers which require the presence of agricultural extension workers as mentor, facilitator and organizer. Respondents were 60 cashew farmers representing 120 cashew farmers in this area and were taken at simple random sampling using lottery numbers from a list of names of all cashew farmers. Primary data was collected through structured interview with respondents using questionnaires; while secondary data was collected from various literature sources and related agencies such as the local village head's office. Data analysis was carried out descriptively qualitatively using data tabulation and preparing intervals for each research variable based on the highest value (score) and the lowest value (score). The result showed that according to farmers' assessment, the three roles of extension worker have been carried out well, there were only a few indicators in the role of instructor that still need to be improved, namely training farmers to choose and use medicines to prevent and control pests and diseases as well as fertilizers appropriately. Also developing ideas or concepts and putting them into practice to motivate farmers to develop farming businesses. As facilitator, extension workers have been considered good by farmers, as well as as organizer.

Analisis evaluasi kinerja pendampingan Rumah BUMN Majene pada usaha mikro mahasiswa Safira, Dela; Ilyas, Herlina; Yusran, Muhammad
AKURASI: Jurnal Riset Akuntansi dan Keuangan Vol 7 No 2 (2025)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/akurasi.v7i2.1711

This study aims to evaluate the performance of Rumah BUMN Majene mentoring for student micro-enterprises. Mentoring is considered necessary in supporting the development of entrepreneurial skills and increasing the capacity of student businesses. This study uses a descriptive qualitative approach. The results of the study indicate that the mentoring program is effective and has a positive impact, both in terms of packaging design, business legality, digital marketing, and financial management. The success of the program is supported by the active involvement of Rumah BUMN staff, collaboration with universities, and the implementation of training and coworking spaces. The evaluation was conducted using the CIPP (Context, Input, Process, Product) model, which indicates that this program has been aligned with the needs of business stakeholders. However, improvements are needed in legal assistance and financial management training so that the program can run more optimally. Public interest statements This statement affirms the commitment to supporting micro-student entrepreneurs through the Rumah BUMN Majene program. It aims to enhance skills, access, and knowledge among young entrepreneurs, thereby contributing to sustainable economic growth at both local and national levels. Through collaboration among various institutions, this program has the potential to serve as a successful model for community empowerment and economic strengthening.

Effect of Feature Normalization and Distance Metrics on K-Nearest Neighbors Performance for Diabetes Disease Classification Yusran, Muhammad; Sadik, Kusman; Soleh, Agus M; Suhaeni, Cici
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.8012

Diabetes is a global health issue with a steadily increasing prevalence each year. Early detection of the disease is an important step in preventing severe complications. The K-Nearest Neighbors (KNN) algorithm is often used in disease classification, but its performance is highly influenced by the choice of normalization method and distance metric used. This study aims to evaluate the effect of various normalization methods and distance metrics on the performance of the KNN algorithm in diabetes disease classification. The three normalization methods were employed: z-score normalization, min-max scaling, and median absolute deviation (MAD). In addition, the seven distance metrics were assessed: Euclidean, Manhattan, Chebyshev, Canberra, Hassanat, Lorentzian, and Clark. The dataset used is Pima Indians Diabetes which consists of 768 observations and 8 features. The data were split into 80% training data and 20% test data, and using 5-fold cross-validation to determine the optimal k value. The results show that the MAD-Canberra combination produces the highest overall accuracy, recall, and F1-score of 87.32%, 82.33%, and 81.94%, respectively. The highest precision was obtained from the Baseline-Hassanat combination at 86.96%, while the lowest performance was observed for the Z-Score-Chebyshev combination with F1-Score 58.02%. These results highlight that no single combination universally outperforms others, underscoring the need for empirical evaluation. Nonetheless, combining MAD normalization with metrics such as Canberra or Hassanat can serve as a strong starting point for developing KNN-based classification systems, especially in medical contexts that are sensitive to misclassification.

Analisis evaluasi kinerja pendampingan Rumah BUMN Majene pada usaha mikro mahasiswa Safira, Dela; Ilyas, Herlina; Yusran, Muhammad
AKURASI: Jurnal Riset Akuntansi dan Keuangan Vol 7 No 2 (2025)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/akurasi.v7i2.1711

This study aims to evaluate the performance of Rumah BUMN Majene mentoring for student micro-enterprises. Mentoring is considered necessary in supporting the development of entrepreneurial skills and increasing the capacity of student businesses. This study uses a descriptive qualitative approach. The results of the study indicate that the mentoring program is effective and has a positive impact, both in terms of packaging design, business legality, digital marketing, and financial management. The success of the program is supported by the active involvement of Rumah BUMN staff, collaboration with universities, and the implementation of training and coworking spaces. The evaluation was conducted using the CIPP (Context, Input, Process, Product) model, which indicates that this program has been aligned with the needs of business stakeholders. However, improvements are needed in legal assistance and financial management training so that the program can run more optimally. Public interest statements This statement affirms the commitment to supporting micro-student entrepreneurs through the Rumah BUMN Majene program. It aims to enhance skills, access, and knowledge among young entrepreneurs, thereby contributing to sustainable economic growth at both local and national levels. Through collaboration among various institutions, this program has the potential to serve as a successful model for community empowerment and economic strengthening.

Evaluating Fasttext and Glove Embeddings for Sentiment Analysis of AI-Generated Ghibli-Style Images Sentana Putra, I Gusti Ngurah; Yusran, Muhammad; Sari, Jefita Resti; Suhaeni, Cici; Sartono, Bagus; Dito, Gerry Alfa
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10600

The development of text-to-image generation technology based on artificial intelligence has triggered mixed public reactions, especially when applied to iconic visual styles such as Studio Ghibli. This research aims to evaluate public sentiment towards the phenomenon of Ghibli-style AI images by comparing two static word embedding methods, namely FastText and GloVe, on three classification algorithms: Logistic Regression, Random Forest, and Convolutional Neural Network (CNN). Data in the form of Indonesian tweets were collected from Twitter using hashtags such as #ghibli, #ghiblistyle, and #hayaomiyazaki during the period 25 March to 25 April 2025. Each tweet was manually labelled with positive or negative sentiment, then preprocessed and represented using pre-trained FastText and GloVe embeddings. Evaluation was conducted using accuracy, precision, recall, and F1-score metrics, both macro and weighted. Results showed that FastText consistently performed the best on most models, especially in terms of precision and overall accuracy, thanks to its ability to handle sub-word information and spelling variations in social media texts. The combination of CNN with FastText yielded the highest performance with a macro F1-score of 76.56% and accuracy of 84.69%. However, GloVe still showed competitive performance in recall on the Logistic Regression model, making it relevant for contexts that prioritise sentiment detection coverage. This study emphasizes the importance of selecting embeddings and models that are appropriate to the characteristics of the data and the purpose of the analysis in informal social media-based sentiment classification.

Anticipatory Risk Planning at PT Telkom Indonesia Yusran, Muhammad; Hadijah, Sitti; Jumardi, Jumardi; Ilham, Bahrul Ulum
International Journal of Economics (IJEC) Vol. 4 No. 1 (2025): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v4i1.1221

This study examines the anticipatory risk management strategies implemented by PT Telkom Indonesia to address potential crises, including pandemics. This research aims to explore how a company can proactively identify, analyze, and manage risks to maintain service stability. Employing the Narrative Literature Review (NLR) approach, this study gathers and analyzes secondary data from various risk-management-related literature, focusing on the telecommunications sector. The findings reveal that although PT Telkom Indonesia has established risk strategies, several areas require further development, particularly in terms of long-term risk anticipation. This study recommends strengthening a more comprehensive and adaptive risk-management system to enhance corporate resilience. The originality of this research lies in its specific focus on PT Telkom Indonesia as a case study, highlighting the unique challenges and opportunities faced by a leading telecommunications company to address uncertainties and future crises. Additionally, this study contributes to the existing body of literature by providing insights into the application of anticipatory risk management in the telecommunications sector, particularly in the context of future pandemics.

Comparison of Multinomial Naïve Bayes and Bernoulli Naïve Bayes on Sentiment Analysis of Kurikulum Merdeka with Query Expansion Ranking Yusran, Muhammad; Siswanto, Siswanto; Islamiyati, Anna
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3187

Social media is one of the public services for conveying or obtaining news, opinions and comments on an issue. One of the social media that is in great demand by the people of Indonesia is Twitter. Kurikulum merdeka is one of the most discussed issues currently on Twitter. Kurikulum merdeka is a curriculum that incorporates varied intra-curricular learning with more optimal content to provide students adequate time to investigate ideas and build expertise. Until now, kurikulum merdeka still reaps the pros and cons. To process and analyze further regarding opinions on the kurikulum merdeka, it can be done using sentiment analysis. The high dimension of features in the classification process becoming a problem in sentiment analysis because it causes classification to be inefficient, so feature selection is needed to solve this problem. The purpose of this study was to obtain the results of the classification of kurikulum merdeka sentiments using the multinomial naïve bayes and bernoulli naïve Bayes, as well as query expansion rankings for feature selection and to compare the performance of the two classifications. Multinomial naïve bayes classification produces 106 tweets with positive sentiment and 164 tweets with negative sentiment with accuracy, recall, precision and f-measure respectively 98.889%, 98.131%, 99.057% and 98.591%, while bernoulli naïve bayes produces 95 tweets with positive sentiment and 175 tweets with negative sentiment with accuracy, recall, precision, and f-measure respectively 94.815%, 87.850%, 98.947% and 93.069% respectively. Therefore, multinomial naïve bayes classifies the kurikulum merdeka sentiment better than bernoulli naïve bayes.

PENERAPAN APLIKASI AKUNTANSI DALAM PENGELOLAAN KEUANGAN PADA UMKM Yusran, Muhammad; Hadijah, Sitti; Jumardi; Amirullah, Sufyan; Edy, Sri Amalia; Ilham, Bahrul Ulum
Jurnal Abdi Insani Vol 11 No 1 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i1.1296

Penerapan aplikasi akuntansi dalam mengelola keuangan pada Usaha Mikro, Kecil dan Menengah (UMKM) masih sangat jarang. Padahal penggunaan aplikasi akuntansi berbasis teknologi informasi dalam mengelola keuangan sangat membantu dan memudahkan pelaku UMKM. Pemanfaatan aplikasi teknologi akuntansi tentunya akan sangat membantu pelaku UMKM yang masih minim pengetahuan tentang akuntansi. Oleh karena itu kegiatan tridarma dosen dapat berperan untuk memberikan kontribusi dalam meningkatkan kemampuan dan kapasitas masyarakat mengelola kegiatan usahanya yang berbasis teknologi informasi. Pemanfaatan aplikasi akuntansi melalui kegiatan pengabdian dosen untuk para pelaku UMKM diharapkan dapat meningkatkan pengetahuan, keterampilan atau skill dalam menjalankan usaha dengan menerapkan manajemen dan keuangan yang professional. Kegiatan pengabdian ini bertujuan untuk mengedukasi para pelaku UMKM dalam mengelola usahanya secara lebih profesional dan menggunakan aplikasi akuntansi dalam mengelola keuangan usahanya sehingga lebih efisien, efektif dan akuntabel. Dengan demikian kegiatan pengabdian tersebut juga untuk meningkatkan kualitas manajemen keuangan UMKM melalui pemanfaatan aplikasi akuntansi. Kegiatan pengabdian dilakukan dalam kegiatan workshop dengan memberikan materi kemudian melakukan praktik langsung menggunakan aplikasi yang diselenggarakan secara hybrid, yakni online dan offline. Tahap kegiatan adalah tahap persiapan, pelaksanaan, dan tahap praktik. Tahap persiapan untuk identifikasi awal dengan melakukan survey pendahuluan. Selanjutnya pada tahap pelaksanaan dan praktik yakni untuk memantapkan pemahaman pelaku UMKM. Kegiatan pelatihan dengan workshop secara hybrid, sehingga dapat menjangkau peserta UMKM yang tersebar di wilayah Provinsi Sulawesi Barat. Kegiatan pelatihan ini menggunakan metode ceramah dan praktik secara langsung dengan materi kasus yang diberikan. Materi dan kegiatan diberikan dalam beberapa sesi yang diberikan oleh empat pemateri berbeda yang dilaksanakan oleh tim dosen-dosen pengabdian masyarakat. Hasil kegiatan dievaluasi yang menunjukkan bahwa 85,9 % peserta memahami dan mampu mempraktikan materi yang telah diberikan. Namun para peserta masih perlu banyak berlatih untuk menginput data transaksi ke dalam aplikasi. Kegiatan workshop dan pelatihan ini dianggap cukup berhasil, namun masih perlu ditambah waktu kegiatannya. Jumlah peserta yang mengikuti workshop juga perlu ditingkatkan.

Peningkatan Pengetahuan, Sikap, dan Perilaku tentang Faktor Risiko Katarak pada Lansia di Posyandu Lansia Puskesmas Natar Lampung Selatan Soleha, Tri Umiana; Yusran, Muhammad; Lisiswanti, Rika; Oktafany, Oktafany
JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai Vol. 1 No. 1 (2015): JURNAL PENGABDIAN MASYARAKAT RUWA JURAI
Publisher : FK Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpmrj.v1i1.1145

Kebutaan karena katarak atau kekeruhan lensa mata merupakan masalah kesehatan global yang harus segera diatasi, karena kebutaan dapat menyebabkan berkurangnya kualitas sumber daya manusia dan berkurangnya produktifitas serta membutuhkan biaya yang cukup besar untuk pengobatannya. Kegiatan penyuluhan kepada para lansia dalam hal ini pada Posyandu Lansia Puskesma Natar Lampung Selatan yang diharapkan akan meningkatkan pengetahuan tentang katarak dan faktor risikonya. Setelah dilakukan kegiatan penyuluhan maka terjadi peningkatan nilai pemahaman yang dapat diketahui dari posttest. Peserta posyandu menjadi paham dan sangat paham mengenai faktor risiko katarak. Peserta yang paham sebanyak 5 orang (16,7%) dan yang sangatpaham sebanyak 25 orang (83,3%). Rerata skor dari 30 responden pada posttest adalah 9. Skor tersebut meningkat sekitar 50% dari skor pretest. Simpulan, perlu dilakukan kegiatan penyuluhan seperti ini di tempat lainsebagai upaya berkelanjutan mengenai pemahaman faktor risiko katarak.Kata Kunci: katarak, lansia, pengetahuan, perilaku, sikap

Upaya Pencegahan Dermatitis Kontak Akibat Kerja pada Pengrajin Batik di Bandar Lampung Anggraini, Dwi Indria; Yusran, Muhammad; Rahmayani, Fidha; Tjiptaningrum, Agustyas; Sibero, Hendra Tarigan
JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai Vol. 4 No. 1 (2019): JURNAL PENGABDIAN MASYARAKAT RUWA JURAI
Publisher : FK Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpmrj.v4i1.2530

Dermatitis kontak akibat kerja (DKAK) adalah peradangan kulit yang diakibatkan oleh lingkungan kerja. DKAK merupakansalahsatumasalahkesehatan yang sering terjadi pada pekerja di dunia, termasuk Indonesia. Beberapa penelitian melaporkan DKAK pada pengrajin batik cukup tinggi. Di Bandar Lampung dilaporkan kejadian DKAK pada pengrajin batik di Bandar Lampung sebesar 53,3%. Terdapat beberapa faktor eksogen dan endogen yang mempengaruhi kejadian DKAK. Pengetahuan pengrajin batik terhadap faktor-faktor tersebut masih kurang. Kegiatan ini bertujuan untuk meningkatkan pengetahuan pengrajin batik tradisional Lampung mengenai DKAK dan upaya pencegahan timbulnya DKAK. Kegiatan dilakukan di Batik Siger, Jalan Bayam No.38 Kemiling, Bandar Lampung pada tanggal 19 Oktober 2019. Khalayak sasaran yang mengikuti kegiatan adalah pengrajin batik tradisional, pengeloladan pemilik Batik Siger berjumlah 25 orang. Program dilakukan dengan beberapa cara, yaitu: pemberian materi kepada khalayak sasaran mengenai penyebab, tanda dan gejala klinis, cara pemeriksaan, penatalaksanaan, dan upaya pencegahan dan pengobatan DKAK; pemberian poster dan leaflet mengenai DKAK; pelatihan perawatan diri dan penggunaan APD pada khalayak sasaran; Focus group discussion (FGD). Hasil kegiatan ini menunjukkan rerata skor pengetahun sebelum dilakukan penyuluhan adalah 56,8 meningkat menjadi 93,2 sesudah penyuluhan. Seluruh peserta (100%) mengalami peningkatan pengetahuan setelah dilakukan intervensi. Terjadi peningkatan kemampuan perawatan diri menggunakan pelembap dan APD pada 100% pengrajin batik setelah dilakukan pelatihan. Simpulan kegiatan ini dapat meningkatkan pengetahuan dan kemampuan perawatan diri pengrajin batik tradisional.Kata Kunci: dermatitis kontak akibat kerja, pengrajin batik tradisional Lampung

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