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All Journal Jurnal Bisnis dan Manajemen JURNAL PENDIDIKAN EKONOMI: Jurnal Ilmiah Ilmu Pendidikan, Ilmu Ekonomi dan Ilmu Sosial JOIV : International Journal on Informatics Visualization Jurnal Manajemen Indonesia Journal of Mathematics and Mathematics Education (JMME) JMM (Jurnal Masyarakat Mandiri) COMPTON: Jurnal Ilmiah Pendidikan Fisika Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Jurnal Ilmiah Edunomika (JIE) Journal of Applied Engineering and Technological Science (JAETS) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Journal of Applied Data Sciences International Journal of Economy, Education and Entrepreneurship (IJE3) International Journal of Education, Social Studies, And Management (IJESSM) TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Educenter: Jurnal Ilmiah Pendidikan Jurnal Didactical Mathematics Annals of Human Resource Management Research Polinomial : Jurnal Pendidikan Matematika Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian Masyarakat Bangsa Journal International Dakwah and Communication Jurnal Teologi Pambelum Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Information Systems Management and Digital Business Journal of Management and Innovation Entrepreneurship (JMIE) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Kesehatan Bakti Tunas Husada SANISKALA: Jurnal Pengabdian Masyarakat Jurnal Mediasas : Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Jurnal Pengabdian Masyarakat Ilmu Komputer EDUCENTER JURNAL PENDIDIKAN Jurnal Ekonomi, Bisnis dan Manajemen International Journal of Advance Research in Mathematics Education Papanda Journal of Community Service
Sudianto, Sudianto
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Hybrid Optimization Model for Integrated Image Data Extraction Expert System in Rice Plant Disease Classification Aldo, Dasril; Kurniawati, Ajeng Dyah; Prabowo, Dedy Agung; Fauzi, Ahmad; Saputra , Wahyu Andi; Sudianto, Sudianto; Yasin, Feri; Agustianto, Satya Helfi; Pangestu, Farhan Aryo; Sulaeman, Gilang
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.6633

Abstract

The purpose of this study is to increase the accuracy for rice plant disease classification by developing a hybrid optimization model using Convolutional Neural Network (CNN) in combination with Extreme Learning Machine (ELM), followed by Support Vector Machine. A key issue is to overcome with traditional expert systems that difficult, due the variation differences and complex among rice plant image data set. For feature extraction, plant images are passed through CNN and for classification ELM & SVM used. Experimental results show the best accuracy of 98.63% is attained using CNN+ELM model on images resized to 100x100 pixels and has precision, recall, F1-Score all at value=0.99 By comparison, the CNN+SVM model achieves an accuracy of 91.92% using that same image size. Top AbstractIntroductionMethodsResultsDiscussionConclusionReferencesOverall, the proposed CNN+ELM combination can classify rice plant diseases better than using only a conventional approach (CNN) through various results from devices with limited computing power. The study presents a novel plant disease detection system that can be utilized for the development of precise tools to help improve agricultural management practices.
THE INFLUENCE OF WORK COMPETENCY, WORKLOAD, AND REWARD SYSTEM ON EMPLOYEE PERFORMANCE AT THE ECONOMIC DIVISION OF THE REGIONAL SECRETARIAT IN BATAM CITY Ansori, Sayid; Sudianto, Sudianto; Suyono, Suyono; Sabri, Sabri
International Journal of Economy, Education and Entrepreneurship (IJE3) Vol. 5 No. 3 (2025): International Journal of Economy, Education and Entrepreneurship
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ije3.v5i3.431

Abstract

The purpose of this study is to investigate the impact of Job Competence, Workload, and Reward System on Employee Performance in the Economic Division of the Regional Secretariat in Batam City. The context of this study stems from the phenomenon of suboptimal employee performance, characterised by delays in completing macroeconomic reports and work results that do not meet organisational goals. The main factors suspected of influencing this condition are employee competencies that do not fully match job demands, disproportionate distribution of workloads, and an ineffective and unfair reward system. This study uses a quantitative, associative research design. The study population consisted of 35 employees, all sampled using a saturated sampling technique. Data were collected using a Likert-scale questionnaire and analysed using multiple linear regression in SPSS version 25. The results of the study indicate that Job Competence, Workload, and Reward System have a positive and significant effect on Employee Performance, both partially and simultaneously. The coefficient of determination (R²) of 0.742 indicates that these three variables explain 74.2% of the variation in Employee Performance, while factors outside the research model explain the remaining 25.8%. This finding underscores the importance of enhancing competency, managing a balanced workload, and implementing a fair and transparent reward system to boost employee performance.
THE EFFECT OF WORK MOTIVATION, WORK CULTURE, AND RESPONSIBILITY ON EMPLOYEE PERFORMANCE AT THE GALANG SUB-DISTRICT OFFICE IN BATAM Saputra, Wahyudi Andika; Sabri, Sabri; Sudianto, Sudianto
International Journal of Economy, Education and Entrepreneurship (IJE3) Vol. 5 No. 3 (2025): International Journal of Economy, Education and Entrepreneurship
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ije3.v5i3.435

Abstract

This study aims to analyze the influence of work motivation, work culture, and responsibility on employee performance at the Galang District Office, Batam City. The study sample included all 91 employees using census techniques. Data collection methods included observation, interviews, questionnaires, and literature reviews. Data analysis used validity and reliability tests, as well as multiple regression to examine the influence of independent variables on the dependent variable. The results showed that work motivation contributed the most significant amount of 38.7% to employee performance, followed by work culture at 33.2% and responsibility at 28.1%. These three variables simultaneously had a significant effect on employee performance, as indicated by a calculated F value > the F table value. This study shows that improving employee performance does not depend solely on one factor, but rather on a balanced combination of work motivation, work culture, and responsibility. This finding emphasizes the importance of implementing an integrated human resource management strategy to improve the quality of public services at the Galang District Office.
THE EFFECT OF REWARD SYSTEM, WORK MOTIVATION AND WORK FACILITIES ON EMPLOYEE PERFORMANCE IN LUBUK BAJA DISTRICT Suharto, Andi Muhammad; Herman, Henry; Sudianto, Sudianto
International Journal of Economy, Education and Entrepreneurship (IJE3) Vol. 5 No. 3 (2025): International Journal of Economy, Education and Entrepreneurship
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ije3.v5i3.438

Abstract

This study aims to analyse the influence of the reward system, work motivation, and work facilities on employee performance in the Lubuk Baja District, Batam City. This study's background is grounded in the deteriorating quality of public services attributed to insufficient work motivation, an ineffective reward system, and inadequate work facilities. The research employed a quantitative methodology utilising a survey technique. The sample consisted of 35 Lubuk Baja District employees, and data analysis was conducted through multiple linear regression using SPSS version 25. The results of the study indicate that the reward system partially has a positive and significant effect on employee performance (p=0.010; beta=0.312). Work motivation also has a considerable positive impact (significance 0.004; regression coefficient 0.327), as do work facilities (significance 0.016; regression coefficient 0.284). Simultaneously, the three independent variables have a positive and significant effect on employee performance (F-count 42.753; significance 0.000 < 0.05). The coefficient of determination (R²) of 0.787 indicates that these three variables explain 78.7% of the variation in employee performance, with the remaining 21.3% explained by factors outside this study. These findings confirm that improving employee performance requires a holistic approach that combines an effective reward system, high work motivation, and adequate work facilities.
PENINGKATAN PENGETAHUAN ANGGOTA PALANG MERAH REMAJA TENTANG NYAMUK VEKTOR DBD MELALUI PENGENALAN APLIKASI JUMANTIK PMR DI KOTA TASIKMALAYA Virgianti, Dewi Peti; Liswanti, Yane; Sudianto, Sudianto; Suhartati, Rochmanah; Ferdina, Dina; Latisa, Alsya; Marhami, Azwan Cahya; Nata, Septiawan Dwi
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 6 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i6.35120

Abstract

Abstrak: Demam Berdarah Dengue (DBD) merupakan penyakit endemik tahunan di Indonesia. Upaya pencegahan penularan vektor Aedes sp. di lingkungan sekolah dapat dilakukan dengan melibatkan siswa dalam kegiatan ekstrakurikuler Palang Merah Remaja (PMR) melalui peran sebagai Juru Pemantau Jentik (Jumantik). Kegiatan pengabdian masyarakat ini bertujuan memperkenalkan aplikasi berbasis teknologi yang mudah diakses oleh anggota PMR untuk meningkatkan pengetahuan tentang nyamuk penular DBD, serta membentuk akun media sosial Jumantik PMR sebagai sarana komunikasi. Metode kegiatan meliputi sosialisasi, pelatihan, pembuatan aplikasi, penerapan teknologi, pendampingan, evaluasi, dan perencanaan keberlanjutan program. Evaluasi pengetahuan dilakukan dengan menggunakan instrumen pre-test dan post-test yang terdiri dari 15 pertanyaan yang sama, yang mengukur pemahaman peserta mengenai penggunaan aplikasi serta pengetahuan terkait nyamuk vektor DBD. Sebanyak 100 anggota PMR dari 25 SMA di Kota Tasikmalaya terlibat sebagai peserta. Kegiatan ini menunjukkan adanya peningkatan signifikan dalam pengetahuan peserta, terutama mengenai tempat perindukan dan siklus hidup nyamuk. Hasil kuesioner memperlihatkan bahwa 100% peserta menilai aplikasi Jumantik sangat membantu pelaporan kegiatan di sekolah sekaligus sebagai sumber rujukan. Selain itu, 100% responden menyatakan akun media sosial Jumantik PMR bermanfaat untuk berbagi informasi penting terkait kegiatan jumantik. Program ini berhasil meningkatkan pengetahuan anggota PMR tentang vektor DBD dan memberikan sarana inovatif berupa aplikasi serta media sosial untuk mendukung kegiatan jumantik di sekolah.Abstract: Dengue Hemorrhagic Fever (DHF) is an annual endemic disease in Indonesia. Efforts to prevent the transmission of Aedes sp. vectors in the school environment can be done by involving students in extracurricular activities of the Red Cross Youth (PMR) through the role of Mosquito Larva Monitoring Officer (Jumantik). This community service activity aims to introduce a technology-based application that is easily accessible to PMR members to increase their knowledge about dengue-carrying mosquitoes and to create a PMR Jumantik social media account as a means of communication. The activity methods include socialization, training, application development, technology implementation, mentoring, evaluation, and program sustainability planning. Knowledge evaluation was conducted using pre-test and post-test instruments consisting of 15 identical questions, which measured participants' understanding of application usage and knowledge related to dengue vector mosquitoes. A total of 100 Red Cross members from 25 high schools in Tasikmalaya City participated as participants. This activity demonstrates a significant increase in participants' knowledge, particularly regarding mosquito breeding sites and life cycles. The questionnaire results show that 100% of participants rated the Jumantik application as very helpful for reporting activities at school and as a source of reference. Additionally, 100% of respondents stated that the Jumantik PMR social media account is useful for sharing important information related to Jumantik activities. This program successfully increased PMR members' knowledge about dengue vectors and provided innovative tools such as applications and social media to support jumantik activities in schools.
Spatial Analysis of Ensemble Learning Models for Agricultural Drought Early Warning Sudianto, Sudianto; Ni'amah, Khoirun; Dewi, Atika Ratna; Ramadhan, Afan; Aprilia, Jeti; Tiyaswening, Arsita Wiwit; Anataya, Syalaisha Nisrina
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1108

Abstract

Drought poses a serious threat to rice production and local food security, triggered by climate anomalies such as El Niño. This study aims to evaluate and compare the performance of Ensemble Learning Models in classifying drought levels and analyze its correlation with periods of climate anomalies. This study uses Landsat 9 image data in the simulation period from June 2024 to July 2025, which is processed with HSV-based pan-sharpening and spectral index extraction (NDVI, NDWI, NDDI, EVI, LST). The modeling process applied undersampling to address class imbalance and hyperparameter tuning optimization using Optuna. The models compared included Random Forest, LightGBM, AdaBoost, XGBoost, and Gradient Boosting. The results showed that Gradient Boosting excelled with a train accuracy of 96,85% in original dataset with split dataset 70:30, whereas rise to 98.98% after tuning. Spatial validation was conducted in other rice field plots, however its steadfastly on research area with same treatment. The classification map shows the dominance of the moderate category, which temporally coincides with the period of rainfall decline associated with El Niño, although a direct causal relationship requires further investigation. These findings confirm that remote sensing combined with machine learning is effective for drought monitoring, with the caveat that the application of undersampling and limited spatial validation that is, confined solely to the research area; needs to be considered in the interpretation of results.
Efektivitas Program Cabri 3D dalam Meningkatkan Hasil Belajar Matematika Siswa Nurfazriyah, Sri Mulyani; Sudianto, Sudianto
Polinomial : Jurnal Pendidikan Matematika Vol. 4 No. 4 (2025)
Publisher : Papanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jp.v4i4.3005

Abstract

Learning mathematics in the field of spatial geometry still presents challenges in the form of poor student outcomes. This is due to difficulties in understanding abstract concepts. Using technology-based learning media is seen as one solution to this problem. This study aims to analyse this problem and find ways to overcome it. This study aims to analyse the effectiveness of using Cabri 3D to improve mathematics learning outcomes. A Systematic Literature Review was conducted to examine this. This involved examining Sinta-accredited articles published between 2019 and 2025. Data were obtained through literature searches and analysed using Qualitative descriptive analysis techniques. The results of the study indicate that using Cabri 3D consistently improves learning outcomes, conceptual understanding and mathematical spatial abilities, especially in subjects that require high levels of visualisation. This study concludes that Cabri 3D is an effective and relevant learning medium. to improve the quality of mathematics education in schools.
Meningkatkan Komitmen Organisasi Bank Syariah: Peran Pemberdayaan dan Etika Kerja Islam Arif, Muhammad; Zulkifli, Zulkifli; Firdaus, Firdaus; Hamzah, Zulfadli; Alfani, Mufti Hasan; Nuraini, Putri; Sudianto, Sudianto
Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Vol. 22 No. 1 (2025): Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan (AJAIP)
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ajaip.2025.vol22(1).22123

Abstract

This research is important to conduct in order to fill the gap in previous studies related to human resource issues in Islamic banks, particularly in the city of Pekanbaru. The purpose of this study is to analyze the impact of employee empowerment and Islamic work ethics on the organizational commitment of employees at Islamic banks in Pekanbaru. This study is a causal research with a quantitative approach. The population of this study consists of 941 employees of Islamic banks in Pekanbaru, with a sample size of 273 employees. The research instrument is a questionnaire distributed randomly, and the data analysis method uses Smart PLS 3.0 software. The result of this study show that Islamic work ethics and employee empowerment have a positive impact on organizational commitment in Islamic Bank. The limitation of this study lies in the quantitative approach with survey method, which cannot delve deeper into the qualitative aspects of the influence of employee empowerment and Islamic work ethics on organizational commitment.
Analysis of Student's Geometry Thinking Ability Based on Van Hiele's Theory Kania, Nia; Sudianto, Sudianto; Hanipah, Hani
Journal of Mathematics and Mathematics Education Vol 12, No 1 (2022): Journal of Mathematics and Mathematics Education (JMME)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jmme.v12i1.62273

Abstract

The purpose of this study was to analyze students' geometric thinking skills in solving geometric problems based on Van Hiele's thinking stages. This research is a qualitative research. The subjects of this study were students of class XII MIPA 2 SMA Negeri Tomo, totaling 29 students. With purposive sampling obtained 6 research subjects representing the stages of thinking Van Hiele, data collection methods with test questions and interviews. Analysis of research data is data collection, data reduction, data presentation, and drawing conclusions. The results of the study are: no student can reach the rigor stage
Co-Authors Abdul Hamid ABDUL HAMID Adriansyah, Hikari Afandi, Widi Agus Efendi Agus Rofi’i Agustianto, Satya Helfi Ajeng Dyah Kurniawati Akhmad, Fajar Kamaludin Alfani, Mufti Hasan Anang Martoyo Anataya, Syalaisha Nisrina Andi Amang Andi Hidayatul Fadlilah Andika Prasetya Nugraha Angela, Maria Apriana Ansori, Sayid Ansori, Yoyo Zakaria Aprilia, Jeti Atika Ratna Dewi Audina, Silfi Azizahfa, Ai Nurlaeli Maulatul Baharudin, Muhammad Yusuf Saaih Budhi, Widodo Dasril Aldo Dede Salim Nahdi Dedy Agung Prabowo Dewi Permata Sari Dewi Peti Virgianti, Dewi Peti Dewi, Susantriana Djunaedi Djunaedi Erlangga, Muhammad Fadlililah, Andi Hidayatul Fauzi Ahmad Muda Fauziah, Inayah Ferdina, Dina Firdaus Firdaus Hamzah, Zulfadli hanipah, Hani Hendayana, Alya Fatihah Heni Herawati Herman, Henry Humaira, Novida Iik Nurhikmayati, Iik Insiyah, Cici' Ismayanti , Syifa Jamahsyari, Yolan Faiz Jatisunda, Moh Gilar Julia, Rida Kafabi, Muhammad Hilmi Kartiwa, Cece Enjang Kusumah, Firdan Gusmara Kusumaningrum, Andini Mulia Laelasari Laelasari, Laelasari Latisa, Alsya LILIK BUDIPRASETYO Listyani , Elfa Maesaroh , Nita Mahmudin, Dede Maleh, D.Th, Kinurung Maleh, Kinurung Marhami, Azwan Cahya Maria, Hana Diana Marsally, Silvia Van Martiyaningsih, Dwi Puspa Martoyo, Anang Muhamad Azrino Gustalika Muhammad Arif Muhammad Arif Mulyadi Mulyadi Muna, Bunga Laelatul Nata, Septiawan Dwi Ni'amah, Khoirun Nia Kania Ni’amah, Khoirun Nugraha, Jeffy Nuraini, Putri Nurfaeda , Sofia Muawalina Nurfazriyah, Sri Mulyani Pamungkas, Adie Pangestu, Farhan Aryo Pebrianti, Yesi Utami Purwanto, Andrias Rachman, Ari Rakhma, Nazwa Aulia Ramadhan, Afan Ramadhan, Dadan Ramdiani , Rani Ramdiani, Rani Ripaldi Rochmanah Suhartati Rohaeti, Titi Rohimatunisa, Dela Sabri Sabri Santoso, Erik Saputra , Wahyu Andi Saputra, Wahyudi Andika Saputro, Satria Nur Soemedhy, Chandra Ayunda Apta Sri Mulyani Nurfazriyah Sudi, Mohamad Suhada, Karya Suharto, Andi Muhammad Sulaeman, Gilang Sulastri, Desi sumardin, sumardin Supriyadi Supriyadi Suriadi Suriadi Sutopo Sutopo Suwandi, Iqbal Abdillah Suyono Suyono Tiyaswening, Arsita Wiwit Trivetisia, Nora Usman, Muhammad Lulu Latif Utami, Tri Wulandari Vici Suciawati Wibowo, Rohim Isnain Septian Wicaksono, Apri Pandu Winanti, Nawang Anggita Wulandari, Dewi Eka Yane Liswanti, Yane Yaqin, Silpi Syamrotul Yasin, Feri Yeni dwi Kurino Zulkifli Zulkifli