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All Journal INFORMAL: Informatics Journal REFLEKSI EDUKATIKA Terampil : Jurnal Pendidikan dan Pembelajaran Dasar Jurnal Kesehatan Holistic Jurnal Masyarakat Merdeka (JMM) Jurnal Fundadikdas (Fundamental Pendidikan Dasar) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Kontribusia : Research Dissemination for Community Development Jurnal Peduli Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Global Health research Journal of Community Development JIWAKERTA: Jurnal Ilmiah Wawasan Kuliah Kerja Nyata Jurnal Kesehatan Journal of Social Outreach Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Informatika dan Teknologi Pendidikan International Journal of Learning Reformation in Elementary Education JUSTIFY : Jurnal Sistem Informasi Ibrahimy J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Pengabdian Masyarakat Bangsa AL-UMRON: Jurnal Pengabdian kepada Masyarakat National Multidisciplinary Sciences Jurnal Aplikasi Sistem Informasi dan Elektronika Journal of Digital Literacy and Volunteering Jurnal Pengabdian Masyarakat Manage Jurnal Sistem Informasi Komputer dan Teknologi Informasi ABDIMASTEK Journal of Digital Literacy and Volunteering Computing and Information System Journal
Ginanjar Abdurrahman
Universitas Muhammadiyah Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Development and evaluation of culture-based digital sandpaper letters as an effective learning medium for slow learner students in recognizing and writing letters Abdurrahman, Ginanjar; Sintawati, Mukti; Zakiyyah , Amalina Maryam
Jurnal Fundadikdas (Fundamental Pendidikan Dasar) Vol. 6 No. 3 (2023): November
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/fundadikdas.v6i3.9352

Abstract

This study addresses the educational challenges faced by slow learner students, who exhibit lower cognitive abilities than their peers, particularly in the context of reading difficulties during elementary school. Recognizing the need for targeted interventions, this research focuses on the development of a culture-based digital sandpaper letter learning medium tailored to enhance the letter recognition and writing skills of slow learner students. The research employs a 4D development model, encompassing define, design, development, and dissemination phases. The sandpaper letters, featuring rough textures, serve as a sensory-motor stimulus to facilitate the learning process for slow learner students. Culturally relevant themes from Indonesia, such as dances, songs, musical instruments, names of weapons, tribes, food, and place names, are incorporated into the design to enhance engagement and connection with the material. Expert assessment sheets and teacher response questionnaires are utilized as assessment instruments. Results indicate that the developed learning medium is validated by experts and deemed practical by teachers. Furthermore, research trials demonstrate the effectiveness of the culture-based digital sandpaper letters in facilitating letter recognition and writing skills among slow learner students. This innovative approach not only addresses the specific needs of this student population but also contributes to the broader field of inclusive education.
Stigma Orang dengan Gangguan Jiwa di Program Desa Siaga Sehat Jiwa Zaini, Mad; Komarudin, Komarudin; Abdurrahman, Ginanjar
Jurnal Kesehatan Holistic Vol. 8 No. 1 (2024): Jurnal Kesehatan Holistic Volume 8/ Nomor 1/ Juli 2024
Publisher : Sekolah Tinggi Ilmu Kesehatan RS Husada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33377/jkh.v8i1.181

Abstract

the care of people with mental illness, especially those who are treated at home. Botolinggo Village is one of the villages that has a mental health alert village program. This study aims to determine the description of the stigma of people with mental disorders in Botolinggo Village, Bondowoso Regency. This research design uses a quantitative descriptive approach. The population in this study were 52 respondents who were taken using purposive sampling. The instrument used in this study was community attitudes toward the mentally illness (CAMI). Univariate data analysis uses mean, median and standard deviation, while bivariate data uses Pearson correlation test. The results of univariate analysis show that the stigma of mental disorders in Botolinggo Village, Bondowoso Regency tends to be low and has a positive attitude towards mental health problems that exist in the community. Based on the stigma domain, the highest domain is the benevolence domain, which means that the local community has a good, sympathetic and humanist attitude towards people with mental disorders. This is assumed to be related to the age of the respondents. In addition, the existence of the Desa Siaga Sehat Jiwa (DSSJ) Program in collaboration between the Botolinggo Village Government and Muhammadiyah Jember University through the program Matching Fund 2023 made a positive contribution to community assessments and attitudes towards people with mental illness in Botolinggo Village.
Desa Siaga Sehat Jiwa Berbasis Digital di Desa Botolinggo Kabupaten Bondowoso Zaini, Mad; Komarudin, Komarudin; Abdurrahman, Ginanjar
Jurnal Peduli Masyarakat Vol 5 No 3 (2023): Jurnal Peduli Masyarakat: September 2023
Publisher : Global Health Science Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/jpm.v5i3.2199

Abstract

Desa siaga sehat jiwa merupakan sebuah program desa dalam bidang Kesehatan yang mana desa tersebut memiliki kemauan dan kemampuan dalam menyelesaikan masalah Kesehatan jiwa di wilayahnya. Desa Botolinggo yang terletak di Kabupaten Bondowoso menjadi salah satu mitra dari Universitas Muhammadiyah Jember dalam kegiatan Matching Fund tahun 2023 dalam bentuk program desa siaga sehat jiwa. Kerjasama kemitraan itu dilakukan karena berdasarkan data dari Dinas Kesehatan Kabupaten Bondowoso, Desa Botolinggo menjadi salah satu wilayah dengan prevalensi masalah Kesehatan jiwa di Masyarakat yang cukup tinggi, terbatasnya sumber daya manusia di bidang kesehatan jiwa sehingga menimbulkan treatment gap dalam pelayanan Kesehatan jiwa berbasis masyarakat. Tujuan dari program ini adalah terbentuknya desa yang masyarakatnya mampu dan peduli terhadap kesehatan jiwa. Metode yang dilakukan meliputi koordinasi, pendampingan dan praktik. Kegiatan koordinasi dilakukan antara tim pengusul, kepala desa, puskesmas dan dinas Kesehatan, kegiatan pendampingan dilakukan kepada perangkat desa dan tenaga Kesehatan sedangkan kegiatan praktik dilakukan oleh kader kesehatan jiwa. Hasil dari kegiatan koordinasi adalah terbentuknya program Desa Siaga Siaga Sehat Jiwa (DSSJ) melalui SK Kepala Desa Botolinggo. Hasil dari pendampingan dan praktik adalah adanya peningkatan pengetahuan dan kemampuan perangkat desa dan tenaga Kesehatan dalam manajemen pelayanan Kesehatan jiwa serta kemampuan kader dalam melakukan deteksi dini, rujukan kasus dan kunjungan rumah (home visite) pada individu dengan gangguan jiwa.
The Effectiveness of Realistic Mathematics Education on Learning Outcomes and Critical Thinking for Elementary School Students Widiana, Aida Nur; Sintawati, Mukti; Abdurrahman, Ginanjar
International Journal of Learning Reformation in Elementary Education Vol. 2 No. 03 (2023): International Journal of Learning Reformation in Elementary Education
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/ijlree.v2i03.337

Abstract

Implementing learning on mathematics material that does not provide facilities for students to explore critical thinking skills results in a lack of student learning outcomes. The teacher-centred learning process makes many students passive when learning takes place, and low student learning outcomes and critical thinking are also caused by the use of less varied learning models. This makes researchers apply an approach with PMRI (Pendidikan Matematika Realistik Indonesia or Indonesian Realistic Mathematics Education). This study aimed to determine the effectiveness of PMRI in improving fourth-grade students' learning outcomes and critical thinking. This research was a pre-experimental study; the subjects in this study were fourth-grade students with 20 students. The design in this study is quasi-experimental with the form of one group pretest-posttest design. Data collection was carried out using test, observation and documentation techniques. Data analysis techniques were carried out by Normality Test, Homogeneity Test, and Paired t-test. The results showed that PMRI learning can improve students' learning outcomes and critical thinking. This is evidenced by the average value of learning outcomes pretest (69.65) and post-test (87.35). Then the average value of critical thinking at the first meeting (68.05) and the second meeting (78.85). The conclusion that can be drawn is that students' learning outcomes and critical thinking have increased after PMRI was applied to fourth-grade students.
Rancang Bangun Aplikasi Smart Kids English Berbasis Mobile Dasuki, Moh; Abdurrahman, Ginanjar
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.38420

Abstract

Smart Kids English is a mobile-based learning media application that aims to help teachers and parents accompany children in learning English with different experiences by utilizing technology. The use of learning software is considered more effective because basically children use gadgets more often in their daily activities. Using learning software on gadget devices can also minimize the use of gadgets for unimportant applications such as playing games. The System Development Life Cycle in this research uses the Waterfall method, this method is used by many software developers. This research produces the Smart Kids English application with several basic features such as: pronunciation which is equipped with attractive images. Smart Kids English is equipped with a writing feature to train children in writing English. Smart Kids English is equipped with an animal sounds feature to increase children's insight into recognizing animal sounds in the environment around us. Smart Kids English is also equipped with a practice menu, the aim of which is to sharpen children's memory in remembering the material they have studied.
Implementasi Augmented Reality Sebagai Media Interaktif Edukasi Anak Untuk Peningkatan Kognitif Hidayani, Nur; Rosyidah, Ulya Anisatur; Abdurrahman, Ginanjar
Journal of Digital Literacy and Volunteering Vol. 2 No. 2 (2024): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i2.82

Abstract

In the world of education, especially in kindergarten education, there is a problem with the use of technology, namely excessive dependence on gadgets. The solution provided for this problem is Augmented Reality-based learning using the markerbased method. This application provides an innovative and interactive experience through 2-dimensional and 3-dimensional displays as well as visual and audio displays. The research method used a literature study involving lecturers from the Faculty of Teacher Training and Education in order to validate a questionnaire for usability testing which was specifically conceptualized for the purpose of increasing cognitive understanding in kindergarten children. The research results showed that the educational interactive media application for kindergarten children with the aim of increasing cognitive understanding in the HICIHAA application showed an increase of 17.09% in the aspect of cognitive understanding.
STUDI KLASIFIKASI TOPIK BERITA DENGAN ALGORITMA MACHINE LEARNING Guruh Wijaya; Dudi Irawan; Zainul Arifin; Hardian Oktavianto; Miftahur Rahman; Ginanjar Abdurrahman
J-ENSITEC Vol. 11 No. 01 (2024): December 2024
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v11i01.12037

Abstract

As a result of the use and access of social media, it also has an impact on increasing the amount of data and information, especially text data. Text has become one of the most natural forms of data that is stored, so that the field of text mining is believed to be an advanced field of data mining. Facts that emerge from research studies that have been conducted show that 80% of company information is presented in text documents. Text mining is a multidisciplinary field, involving information retrieval, text analysis, information extraction, and clustering. The text mining classification method is one technique that can be used to carry out classification. Text classification specifically works to group text documents based on categories, and within the scope of news datasets, categories are generally divided into politics, economics, military, sports and others. Statistical methods are one of the most frequently applied methods in text emotion classification. As a method in statistics, Naive Bayes is a classification algorithm that is easy to understand in text classification. Apart from that, Naïve Bayes has good classification effects and performance for processing large-scale data. The conclusion of this research is, Naïve Bayes gets an accuracy value of 77.78%. Random Forest gets an accuracy of 70.1%. KNN gets an accuracy of 24.88% and SVM gets an accuracy value of 80.60%. Meanwhile, the respective running times are Naïve Bayes 0.046 seconds, Random Forest 150 seconds, KNN 15 seconds, and SVM 0.43 seconds.
IMPLEMENTASI SISTEM INFORMASI DATA PEGAWAI DAN DETAIL CUTI BERBASIS WEBSITE PADA DPPPAKB KABUPATEN JEMBER Umilasari, Reni; Savana, Bella Risma Khailla; Septiara, Dhea Intan; Zakiyyah, Amalina Maryam; Abdurrahman, Ginanjar
Journal of Social Outreach Vol 3, No 2 (2024): Journal of Social Outreach
Publisher : Fakultas Sains dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jso.v3i2.9737

Abstract

Sistem Informasi Data Pegawai Dan Detail Cuti Berbasis Website adalah aplikasi yang membantu pengguna mendapat informasi data pegawai dan melakukan detail cuti secara online melalui platform web. Sistem ini memberikan solusi efisien dalam mengelola data pegawai dan detail cuti. Pengguna dapat dengan mudah memasukkan data dan mengisi form untuk melihat detail cuti melalui antarmuka web. Setelah memasukkan data yang diminta di formulir data pegawai dan mengisi formulir cuti. Admin bertanggung jawab atas sistem, mengelola data pegawai dan data detail cuti serta memberikan persetujuan atau penolakan berdasarkan pertimbangan lainnya. Dengan Sistem Informasi Data Pegawai dan Detail Cuti Berbasis Website, diharapkan Kantor DPPPAKB Kabupaten Jember dapat meningkatkan efisiensi dalam proses pencatatan cuti dan juga data data pegawai yang ada di kantor.
Stigma Orang dengan Gangguan Jiwa di Program Desa Siaga Sehat Jiwa Zaini, Mad; Komarudin, Komarudin; Abdurrahman, Ginanjar
Jurnal Kesehatan Holistic Vol. 8 No. 1 (2024): Jurnal Kesehatan Holistic Volume 8/ Nomor 1/ Juli 2024
Publisher : Sekolah Tinggi Ilmu Kesehatan RS Husada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33377/jkh.v8i1.181

Abstract

the care of people with mental illness, especially those who are treated at home. Botolinggo Village is one of the villages that has a mental health alert village program. This study aims to determine the description of the stigma of people with mental disorders in Botolinggo Village, Bondowoso Regency. This research design uses a quantitative descriptive approach. The population in this study were 52 respondents who were taken using purposive sampling. The instrument used in this study was community attitudes toward the mentally illness (CAMI). Univariate data analysis uses mean, median and standard deviation, while bivariate data uses Pearson correlation test. The results of univariate analysis show that the stigma of mental disorders in Botolinggo Village, Bondowoso Regency tends to be low and has a positive attitude towards mental health problems that exist in the community. Based on the stigma domain, the highest domain is the benevolence domain, which means that the local community has a good, sympathetic and humanist attitude towards people with mental disorders. This is assumed to be related to the age of the respondents. In addition, the existence of the Desa Siaga Sehat Jiwa (DSSJ) Program in collaboration between the Botolinggo Village Government and Muhammadiyah Jember University through the program Matching Fund 2023 made a positive contribution to community assessments and attitudes towards people with mental illness in Botolinggo Village.
ANALISIS KLASIFIKASI KELAHIRAN CAESAR MENGGUNAKAN ALGORITMA NAÏVE BAYES Abdurrahman, Ginanjar; Wijaya, Johan Taruna
SISKOMTI: Jurnal Sistem Informasi Komputer dan Teknologi Informasi Vol. 2 No. 1 (2020): Februari 2020
Publisher : Universitas Lembah Dempo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54342/m1td8p22

Abstract

The maternal mortality rate (MMR) in Indonesia is still high. AKI is the number of maternal deaths during pregnancy, childbirth and childbirth caused by pregnancy, childbirth and childbirth or management and is not caused by accident or falls in every 100,000 live births. Caesarean birth is the last alternative in the act of labor. This is because of the high risk factors, both risks for both mother and baby. Despite the high risk, Caesar's birth rate has increased significantly, especially in Indonesia. The World Health Organization (WHO) sets a standard for Caesarean delivery in a country of around 5-15 percent per 1000 births in the world. Machine learning learns how machines or computers learn from experience or how to program machines to learn. Machine learning requires data to learn or in other words termed learn from data. There are several machine learning applications that have been developed. One is WEKA machine learning (Waikato Environment for Knowledge Analysis). Weka is a data mining software that is equipped with a standard machine learning algorithm, including preprocessing, classification, clustering, regression, association, and visualization algorithms. In this study the classification of Caesar's birth will be carried out using the Naïve Bayes algorithm to determine whether the birth will be given an act of Caesarean section or a normal delivery (No Caesar). The dataset used consists of 80 data of pregnant women with 5 attributes, namely: age, number of medical personnel, delivery time, blood pressure, liver problems. The results of this study are expected to help the health world especially to determine the birth process need to be given Caesarean section or not by providing a classification model to make medical predictions. The results of this study are expected to be able to support the world of health, especially in the case of giving birth by providing a classification model that can be used to make predictions and other medical decision making.
Co-Authors Alfathan Anggi Riyanto Ali Muharom, Lutfi Amilia, Indi Rosifatul Anggar Wahyu Hadiyatullah Asih Mardati Asih Mardati, Asih Camerino, Wellen Daryanto Daryanto Daryanto Dasuki, Moh. Deviyati, Mike Yurike Dita Dinata, Noeril Agian Septa Dody Wahyu Wirawan Ega Yusni Habibie Fadholy, Rizal Agung Feruzi, Sadiki Moshi Fitri Indriani Fitriyah, Nur Qodariyah Hidayani, Nur Illaihiyah, Rahmattun Irawan, Dudi Johan Taruna Wijaya Komarudin Komarudin Komarudin Mad Zaini Marganingsih, Dirgahayu Moh. Dasuki Mohammad Hasan Mukti Sintawati Nurrohmah, Anisa Oktavianto, Hardian Purnama, Yugi Hari Chandra Rafika Sari Yaslan Rahman, Miftahur Rahman, MIftahur Robbol Hidayatullah Sahiruddin Sahiruddin Saifudin, Ilham Sari, Rosi Ernita Sari Savana, Bella Risma Khailla Septiara, Dhea Intan Sintawati, Mukti Sintawati, Mukti Teguh Mutawaffi H.F. Ulya Anisatur Rosyidah Umilasari, Reni Victor Wahanggara Wibisono, Yusub Widiana, Aida Nur Wijaya, Guruh Wijaya, Johan Taruna Wijaya, Johan Taruna Yanuarti, Rosita ZAINUL ARIFIN Zakiyah, Amalina Maryam Zakiyyah , Amalina Maryam Zakiyyah, Amalina Maryam Zakiyyah, Amalina Maryam Zakiyyah, Amalina Masyam Zulcharnain, Robbi