Garuda - Garba Rujukan Digital

Pelatihan Ultanum Sebagai Media Pembelajaran Matematika di Sekolah Dasar Lisa Virdinarti Putra; Sri Mujiyono; Ela Suryani
Jurnal Pengabdian Masyarakat (abdira) Vol 1, No 2 (2021): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v1i2.40

The purpose of the community service program is to provide online learning model training in mathematics subjects using the numeracy snake and ladder game application at SDN Susukan 04. This community service utilizes Android as a learning medium in elementary mathematics numeracy with the aim of honing students' numeracy literacy. The data from this service were obtained through interviews with the homeroom teacher who became the main source, observations in the form of passive participation observations and documentation as supporting data from the results of the interviews. The results of the service show that teachers have used ultanum media as a learning medium in supporting online learning activities for mathematics subjects to be able to hone students' numeracy literacy. The implementation of the use of ultanum media as a learning medium has several obstacles, namely signal interference, the level of mathematical literacy is still at levels 1-3, but the benefits obtained from this service include being able to hone the ability of teachers to develop numeracy skills at levels 1-3, problem solving skill in doing mathematics learning with ultanum games and honing their skills in numeracy literacy.

Penerapan Metode Clustering K-Means Dalam Pengelompokan Keaktifan Mahasiswa Dalam Asynchronous Learning Abdul Rohman; Sri Mujiyono
Neo Teknika Vol 7, No 1 (2021): Jurnal Neo Teknika Volume 7 Nomor 1 Juni 2021
Publisher : Universitas Pandanaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37760/neoteknika.v7i1.1804

Keaktifan mahasiswa dalam asynchronous e-learning merupakan kegiatan belajar mengajar online atau daring secara tidak langsung. Hal ini diperlukan analisis terhadap seberapa besar tingkat aktifan mahasiswa dengan mengelompokkan mahasiswa berdasarkan atribut metode pengajaran yang dilakukan dengan menggunakan sistem informasi pembelajaran di kampus. Dalam penelitian ini, pengelompokkan keaktifan mahasiswa menggunakan metode clustering algoritma k-means, dalam mata kuliah sinematografi dengan jumlah 29 mahasiswa. Dan menghasilkan 3 kelompok yaitu keaktifan yang tinggi berjumlah 18 mahasiswa, keaktifan yang sedang berjumlah 4 mahasiswa dan keaktifan mahasiswa yang rendah berjumlah 7. Kata kunci: Asynchronous, Clustering, Algoritma K-Means, Keaktifan, Mahasiswa

IbM Pengkaderan Pendidikan Remaja Sebaya Menggunakan Media Informasi berbasis IT di SMK Swadaya Temanggung Jawa Tengah Wahyu Kristiningrum; Widayati Widayati; Sri Mujiyono
INDONESIAN JOURNAL OF COMMUNITY EMPOWERMENT (IJCE) Vol. 2 No. 2 (2020): Indonesian Journal of Community Empowerment November Vol.2 No.2
Publisher : UNIVERSITAS NGUDI WALUYO

Adolescence is a transitional period between childhood and adulthood. During this period the child experiences a period of growth and a period of physical development as well as psychological development. They are not children in either body shape or way of thinking or acting, but also mature adults. At this age, adolescents often feel more comfortable asking questions about sensitive things such as sexuality, HIV and AIDS and drugs to their peers. Seeing the above phenomenon, it is hoped that Peer Educators will be able to spread information creatively using IT-based information media so that it can attract the attention and interest of their peers. In order to optimize peer educator skills, the team will conduct cadre training for adolescents which aims to train them selvesby disseminating positive information in individual and group counseling for lecture activities. The output of service that the team targeted was information media about peer education.AbstrakRemaja merupakan masa peralihan diantara masa kanak-kanak dan dewasa. Dalam masa ini anak mengalami masa pertumbuhan dan masa perkembangan fisiknya maupun perkembangan psikisnya. Mereka bukanlah anakanak baik bentuk badan ataupun cara berfikir atau bertindak, tetapi bukan pula orang dewasa yang telah matang. Di usia ini sering kali remaja remaja merasa lebih nyaman untuk bertanya tentang hal-hal yang sensitif seperti seksualitas, HIV dan AIDS serta napzapada teman sebayanya. Melihat fenomena diatas diharapkan Pendidik Sebaya mampu menyebarkan informasi secara kreatif menggunakan media informasi berbasis IT sehingga dapat lebih menarik perhatian dan minat teman-teman sebayanya. Untuk mengoptimalkan keterampilan Pendidik Sebaya, Tim akan melakukan pengkaderan terhadap remaja yang bertujuan untuk melatih diri dengan menyebarkan informasi positif dalam konseling individu maupun pada kelompok untuk kegiatan ceramah. Luaran pengabdian yang tim targetkan yaitu media informasi tentang pendidikan remaja sebaya

SISTEM INFORMASI PEMINJAMAN BUKU DI PERPUSTAKAAN SMKN H MOENADI DENGAN METODE WATERFALL Fahrizal Alfian Dante; Sri Mujiyono
Jurnal Mahasiswa Teknik Informatika Vol. 2 No. 1 (2023): Jurnal Jamastika Vol.2 No.1 April 2023
Publisher : Universitas Ngudi Waluyo

Meminjam buku di perpustakaan SMKN H Moenadi adalah hal yang sering dilakukan siswa sekolah , pada saat siswa melakukan peminjaman buku staff perpustakaan bertugas mendata buku tersebut dan mengecek ketersediaan buku tersebut apakah sama dengan data yang tercatat. Data tersebut ditulis kedalam buku yang tersedia , namun belum adanya sistem informasi peminjaman buku di perpustakaan SMKN H Moenadi membuat kerja pustakawan kurang efisien. Maka dari itu, penulis membuat sistem informasi peminjaman buku di perpustakaan dengan metode waterfall.Sistem informasi peminjaman buku dengan metode waterfall ini bertujuan untuk mempermudah pihak pustakawan dalam mendata ketersediaan buku di perpustakaan SMKN H Moenadi .Sistem informasi peminjaman buku ini dikembangkan dengan menggunakan metode Waterfall , menggunakan bahasa pemrograman web PHP Â , database yang digunakan adalah MySQL , dan menggunakan aplikasi Notepad++ Â sebagai server-side scripting.Penelitian ini akan menghasilkan suatu Sistem Informasi Peminjaman Buku di Perpustakaan SMKN H Moenadi dengan Metode Waterfall dan memiliki pengalaman pengguna yang mudah dipahami . Berdasarkan hasil uji coba sistem blackbox menghasilkan fitur yang layak dan uji coba usability pada kuesioner menghasilkan 92.53% yang berarti hasil pengujian tersebut sangat layak dan memenuhi aspek usability.Kesimpulan yang dapat diambil dari penjelasan diatas adalah dapat menerapkan Sistem Informasi Peminjaman Buku di Perpustakaan SMKN H Moenadi dengan Metode Waterfall.

PERBANDINGAN ALGORITMA NAÃVE BAYES , K-NN , ID3 , DAN SVM DALAM MENENTUKAN PREDIKSI KELULUSAN SISWA DI SMK MUHAMADIAH MAJENANG Hani Latifah; Sri Mujiyono
Jurnal Mahasiswa Teknik Informatika Vol. 2 No. 1 (2023): Jurnal Jamastika Vol.2 No.1 April 2023
Publisher : Universitas Ngudi Waluyo

SMK Muhamadiah Majenang merupakan unit pelaksana pendidikan formal untuk menyiapkan peserta didik agar bisa menjadi generasi penerus bangsa. Kelulusan menjadi syarat dan ketentuan yang di tetapkan agar bisa menyelesaikan proses pembelajaran yang telah di tentukan dan harus di lalui oleh setiap siswa. Memprediksi tingkat kelulusan siswa penting bagi penyelenggara pendidikan untuk meningkatkan dan mempertahankan prestasi siswa dalam proses pembelajaran. Maka dengan melakukan penelitian prediksi kelulusan siswa menggunakan Data Mining diharapkan dapat menjadi upaya dalam peningkatan kualitas pendidikan. Dalam penelitian ini akan di lakukan perbandingan antara algoritma naïve bayes , K-NN , ID3 , dan SVM untuk menentukan metode mana yang paling efektif dalam menentukan prediksi kelulusan siswa. Atribut yang digunakan dalam penelitian ini adalah Transkip Nilai dari Semester 1 sampai Semester 5 dan Ujian Sekolah. Dalam penelitian ini menggunakan populasi 420 siswa yang terdiri dari 326 siswa laki-laki dan 94 siswa perempuan. SMK Muhamadiah Majenang is a formal education implementing unit to prepare students to become the nation's next generation. Graduation is the terms and conditions that are set in order to complete the learning process that has been determined and must be passed by each student. Predicting student graduation rates is important for education providers to improve and maintain student achievement in the learning process. So by conducting research on student graduation predictions using Data Mining, it is hoped that it can be an effort to improve the quality of education. In this study, a comparison will be made between the nave Bayes algorithm, K-NN, ID3, and SVM to determine which method is the most effective in determining student graduation predictions. The attributes used in this study are transcripts of grades from semester 1 to semester 5 and school exams. In this study, a population of 420 students consisted of 326 male students and 94 female students.

PENERAPAN KLASIFIKASI ALGORITMA DATA MINING C4.5 UNTUK MEMPREDIKSI TINGKAT KELULUSAN SISWA DI LEMBAGA PELATIHAN KERJA SHINJU SEMARANG fifi maqfiroh; Sri Mujiyono
Jurnal Mahasiswa Teknik Informatika Vol. 1 No. 2 (2022): Jurnal Jamastika Vol.1 Vol.2 Oktober 2022
Publisher : Universitas Ngudi Waluyo

AbstrakLPK. SHINJU telah menyimpan data-datanya dalam database berupa hardcopy dan softfile. Data-data tersebut jika dimaksimalkan pemanfaatannya dapat memberikan informasi yang berguna, salah satunya adalah prediksi kelulusan siswa. Penelitian bertujuan menerapkan klasifikasi algoritma C4.5 dalam prediksi kelulusan siswa. Data yang digunakan yaitu data alumni siswa yang telah lulus tahun 2020. Atribut yang dipakai adalah Jenis Kelamin, Tempat Tinggal, Asal kelulusan, Status Bekerja, Ekonomi dan Nilai Akhir. Atribut Labelnya yaitu tepat waktu dan terlambat. Implementasi menggunakan aplikasi RapidMiner 5. Metode yang digunakan adalah data mining denganÂ algoritma C4.5. Metode pengumpulan data yang dipakai dalam penelitian yaitu observasi dan studi literatur. Berdasarkan uji coba diperoleh kesimpulan bahwa bidang ilmu data mining dengan menggunakan algoritma C4.5 dapat diimplementasikan untuk melakukan prediksi kelulusan siswa Lembaga Pelatihan Kerja, setelah melakukan rangkaian uji data set dengan rapid miner, diperoleh hasil accuracy sebagai nilai ketentuan seberapa besar keakuratan menggunakan algoritma C4.5 dalam memprediksi kelulusan siswa Lembaga Pelatihan Kerja SHINJU.Â Kata kunci : Algoritma C4.5, Prediksi Kelulusan, Data mining, RapidminerÂ AbstrackÂ Â Â Â Â Â Â Â Â Â Â Â LPK. SHINJU has stored is data in the database in the form of hardcopy and softfile. These data, if maximized, can provide useful information, one of which is the prediction of student graduation. This study aims to apply the classification algorithm C4.5 in predicting student graduation. The data used is the alumni data of students who have graduated in 2020. The attributes used are Gender, Place of Residence, Origin of Graduation, Work Status, Economy and Final Value. The Label attribute is on time and late. Implementation using the RapidMiner 5 application. The method used is data mining with the C4.5 algorithm. Data collection methods used in this research are observation and literature study. Based on the trial, it was concluded that the field of data mining science using the C4.5 algorithm can be implemented to predict the graduation of Job Training Institute students. After conducting a series of data set tests with rapid miners, accuracy results are obtained as the value of the provision of how much accuracy is using the C4 algorithm. 5 in predicting the graduation of SHINJU Job Training Institute students.Â Keywords: C4.5 Algorithm, Graduation Prediction, Data mining, Rapidminer

Prediction of Nutritional Status of Toddlers Using C4.5 Algorithm Sri Mujiyono; Novan Syaiful
Jurnal Mandiri IT Vol. 12 No. 1 (2023): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i1.229

In developing countries, chronic malnutrition leads to stunting. Stunting will become a public health problem in Indonesia resulting in a decline in the quality of Indonesia's human resources in the future. In the modernization era, determining the nutritional status of toddlers can be simplified automatically. The author's C4.5 algorithm was used to classify and predict the nutritional status of toddlers in Bringin sub-district, in addition to testing using the system that the author built, the author also conducted manual testing and testing using RapidMiner as a comparison. Based on the analysis of the results of 186 datasets tested using this system, predictions were made of toddlers with male gender categories, very underweight and height predicted that the toddlers were in the malnutrition category. For the performance of the dataset tested obtained an accuracy of 84.221%, there was a difference of 6% from the test results using RapidMiner which obtained an accuracy of 91.40%. The use of algorithms is highly recommended to classify the nutritional status of toddlers. The application of the toddler nutritional status classification system that the author designed is feasible because it can be faster and more effective in classifying the nutritional status of toddlers based on the zscore set and there is only a difference of 6% from the same dataset prediction testing using rapid miner. Based on the dataset of system test results, it can be concluded that 89.24% of toddlers in Bringin sub-district are well nourished.

Prediction of Nutritional Status of Toddlers Using C4.5 Algorithm Sri Mujiyono; Novan Syaiful
Jurnal Mandiri IT Vol. 12 No. 1 (2023): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i1.229

In developing countries, chronic malnutrition leads to stunting. Stunting will become a public health problem in Indonesia resulting in a decline in the quality of Indonesia's human resources in the future. In the modernization era, determining the nutritional status of toddlers can be simplified automatically. The author's C4.5 algorithm was used to classify and predict the nutritional status of toddlers in Bringin sub-district, in addition to testing using the system that the author built, the author also conducted manual testing and testing using RapidMiner as a comparison. Based on the analysis of the results of 186 datasets tested using this system, predictions were made of toddlers with male gender categories, very underweight and height predicted that the toddlers were in the malnutrition category. For the performance of the dataset tested obtained an accuracy of 84.221%, there was a difference of 6% from the test results using RapidMiner which obtained an accuracy of 91.40%. The use of algorithms is highly recommended to classify the nutritional status of toddlers. The application of the toddler nutritional status classification system that the author designed is feasible because it can be faster and more effective in classifying the nutritional status of toddlers based on the zscore set and there is only a difference of 6% from the same dataset prediction testing using rapid miner. Based on the dataset of system test results, it can be concluded that 89.24% of toddlers in Bringin sub-district are well nourished.

Arduino Based Automatic Door Lock Design Using Personal Identification Number Pin Anton, Anton; Mujiyono, Sri
Journal La Multiapp Vol. 5 No. 5 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i5.1534

Current developments require more innovation in everyday life, one of which is home or office door security. Initially, home or office door security was only with ordinary padlocks or door keys found in most houses in Indonesia which had shortcomings in terms of security and effectiveness. In the current era of digitalization, almost every line of human activity is no exception, technology is currently continuously developing more rapidly. This can be observed through the many sophisticated equipment that utilizes technology so that the work system can run automatically. Of course, this makes it much easier for someone to carry out their activities and the work they do is also more efficient. This research aims to design a door lock system that is able to increase security, effectiveness and comfort in accessing rooms, both home and office. This system utilizes an Arduino microcontroller as the brain of the system, a keypad as input for entering the PIN code. Users are allowed to open the door simply by entering a predetermined PIN code. The main advantage of this system is its ease of use and a better level of security compared to conventional door locks. The results of this research are a pin-based door lock system using Arduino and keypad. This system uses the Arduino IDE development application for writing program code and Proteus for work simulation.

Expert System for The Diagnosis of Depression in Students Using Certainty Factor Method: A Case Study of Ngudi Waluyo University Purnamasari, Yessy Sabilla; Mujiyono, Sri; Ismiriyam, Fiktina Vifri
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.950

Depression is a growing mental health concern among university students, often fueled by academic pressure, social demands, and personal stress. This study presents the development of an expert system using the Certainty Factor (CF) method to diagnose depression specifically among students at Ngudi Waluyo University. The system categorizes depression into mild, moderate, and severe levels based on 12 validated symptom statements and expert-defined diagnostic rules. Implemented with PHP, JavaScript, and CSS, the system offers a user-friendly, accessible, and anonymous platform for self-assessment. Testing yielded an accuracy rate of up to 79% in diagnosing depression severity and a 71.7% user satisfaction rate based on a User Acceptance Test (UAT) involving 32 students. Results demonstrate that the system can effectively support early detection and mental health awareness within academic environments. Despite some limitations in UI and feedback depth, the expert system shows strong potential for broader application and further enhancement.

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