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All Journal JPMS (Jurnal Pendidikan Matematika dan Sains) Jurnal Ilmu Lingkungan Jurnal Edukasi Universitas Jember KADIKMA Walisongo: Jurnal Penelitian Sosial Keagamaan J-SAKTI (Jurnal Sains Komputer dan Informatika) Acintya Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Asesmen Dan Intervensi Anak Berkebutuhan Khusus Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Proceeding ISETH (International Summit on Science, Technology, and Humanity) Prosiding University Research Colloquium Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
S Sunardi
FKIP UNEJ
Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Social Sciences Other

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PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING (PBL) TERHADAP KREATIVITAS DAN HASIL BELAJAR INDUKSI MATEMATIKA Cahya, R.Aj. Rafika; Sunardi, S; Suharto, S; Susanto, S; Murtikusuma, Randi Pratama
Kadikma Vol 9 No 2 (2018): Agustus 2018
Publisher : Department of Mathematics Education , University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/kdma.v9i2.9704

Abstract

This research aimed to describe the effect of Problem Based Learning (PBL) on creativity and learning outcomes of mathematical induction. This type of research was quasi-experimental research. This research was conducted on class XI TR and XI AV SMKN 2 Jember. The instruments used were the RPP of the experimental class and the control class, student worksheets, and evaluation of learning outcomes. The data collection methods used in this study was observation and test. To determine the subject of the study, a random technique was used. Based on the result of data analysis, it could be concluded that the students in the experimental class met all indicators well. The students could use several ways to solve the problems. Furthermore, the students were able to find unique ideas to solve the problems. The students expanded, selected, analyzed and evaluated the basic ideas of solving the problems. The students used creative ideas on problem-solving innovations. Keywords: Problem Based Learning, creativity, learning outcomes.
IDENTIFIKASI FAKTOR PENYEBAB RENDAHNYA PENGUASAAN MATERI DALAM UJIAN NASIONAL MATEMATIKA SMA/MA PROGRAM IPA TAHUN AJARAN 2009/2010 DI KABUPATEN SITUBONDO Kholilah, Dilla; Sunardi, S; Susanto, S
Kadikma Vol 3 No 3 (2012): Desember 2012
Publisher : Department of Mathematics Education , University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/kdma.v3i3.1011

Abstract

Abstract. Secondary data from the Center for Educational Assessment Departement of Education Shows the percentage of mastery of the material at the school level in High School/Madrasah Aliyah in Situbondo calculate the volume of material objects play in the area between the two curves when playing surround the  axis show the percentage of mastery of less then 60%. Based on the analysis of the data obtained it can be concluded that the lack of masteri is caused by several factor that is the method of teaching, teacher relations with studens, learning media, the state of the building, the method of learning student and teachers circumtances Key Words: identification, factors, low material
Pemodelan Sistem Pendukung Keputusan dengan Metode SMART (Simple Multi Attribute Rating Technique) untuk Penjaringan Anggota Organisasi Mahasiswa Indriani, Cheryllista; Sunardi, S; Zuliarso, Eri
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.421

Abstract

Student Organization is a forum for students to channel their talents and interests, outside of lecture activities. In the organization, students can develop their potential, build relationships, and improve interpersonal skills. In general, to become part of an organization, students need to take part in the selection conducted by the organization's management. An organization in selection has several criteria in accordance with the objectives of the organization, which are expected to help the organization develop well. It is hoped that later it can help the organization develop well. However, in process, the selection is still done manually which takes quite a long time and tends to be subjective. To solve the existing problems, a Decision Support System that helps determine the decision to accept prospective members. The website-based system that was built, using the Simple Multi Attribute Rating Technique (SMART) method. Attribute Rating Technique (SMART) method. The system is built using a decision support system with the Simple Multi Attribute Rating Technique (SMART) technique and is used to handle multi-criteria problems. The decision-making method includes many aspects of criteria in which there are values owned by each alternative for each criterion that is calculated by the weight value. For further research development, the decision-making system using the SMART method can be added to other relevant criteria
How Children with Complex Communication Needs Communicate Their Menstrual Needs: ICT-Based Alternative and Augmentative Communication RIZQITA, ALYA JILAN; Aprilia, Imas Diana; Sunardi, s; Maryanti, Rina; Bela, Muhammad Rafi Wirdan Assyakir Tandu; Juhanaini, J; Putri, Lamina Amalia
Jurnal Asesmen Dan Intervensi Anak Berkebutuhan Khusus Vol 24, No 2 (2024): JASSI Anakku: Volume 24, Issue 2, 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jassi.v24i2.77313

Abstract

The rapid development of ICT can be utilized in this innovation. Using Android-based technology, the Alternative and Augmentative Communication (AAC) system can be used to help children with complex communication needs (CCN) express their needs in their menstrual cycle and realize the importance of reproductive health if their menstrual cycle is irregular. This research aims to develop alternative and augmentative ICT-based communication designs for adolescent girls with CCN. The subject in this research was a teenage girl with CCN who had menstruated. The method in this research uses descriptive qualitative. This research involves one subject (single subject) which is used as a mode in developing applications. The results of this research are in the form of an application design to help teenage girls with CCN communicate to express their needs during menstruation. This application design is also equipped with a calendar totrack the menstrual cycle. content of items needed during menstruation content is especially good because it will be appropriate for subjects who have difficulties expressing their wants and needs to family, teachers, or friends in the school environment. Menstrual calendar content can help subjects andparents identify the regularity of the subject's menstrual schedule. The design of this application is expected to help young women and CCN communicate, so that CCN can express their needs during menstruation.
Analisis Potensi Ekonomi dengan Penentuan Sektor Basis Antar Kabupaten/Kota Se-Karesidenan Surakarta Provinsi Jawa Tengah Sunardi, S
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2019: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.946 KB)

Abstract

Tujuan dari penelitian ini adalah : (1) menganalisis dan mengklasifikasikan sektor ekonomi kedalam sektor basis dan non basis; (2) mengetahui proyeksi setiap sektor, apakah tetap menjadi sektor basis di masa yang akan datang atau tidak; dan (3) mengetahui karakteristik pertumbuhan ekonomi masing-masing kabupaten/kota. Analisis yang digunakan adalah Analisis Location Quotient (LQ), Analisis Dynamic Location Quotient (DLQ), dan Analisis Klassen Typology. Data yang digunakan adalah data Produk Domestik Regional Bruto Menurut Lapangan Usaha 2013-2017 wilayah di Kabupaten/Kota se-Karesidenan Surakarta Provinsi Jawa Tengah. Analisis LQ menunjukkan mayoritas sektor basis di Karesidenan Surakarta adalah Lapangan Usaha Pengadaan Listrik dan Gas, Lapangan Usaha Perdaganan Besar dan Eceran; Reparasi Mobil dan Sepeda, Lapangan Usaha Jasa keuangan dan Asuransi, Lapangan Usaha Jasa Pendidikan, serta Lapangan Usaha Jasa Kesehatan dan Kegiatan Sosial. Analisis DLQ mengindikasikan bahwa Lapangan Usaha Pertanian, Kehutanan dan Perikanan serta Lapangan Usaha Industri Pengolahan masih menjadi sektor basis dimasa yang akan datang. Analisis Klassen Typology menunjukkan bahwa Kabupaten Sragen, Kabupaten Sukoharjo dan Kota Surakarta terkategori sebagai daerah maju dan tumbuh cepat
Sistem Pengenalan Wajah pada Keamanan Ruangan Berbasis Convolutional Neural Network Sunardi, S; Fadlil, Abdul; Prayogi, Denis
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.480

Abstract

Face recognition is a biometric system that is widely applied in various fields especially in the security for identify and verify purposes. For every method of face recognition, they have a unique ways on the process with their advantages and disadvantages themselves. This study designs a face recognition system that is applied to a room security system using the Convolutional Neural Network (CNN). This method works by imitating the way nerve cells to communicate with interrelated neurons or rather mimics how artificial neural networks work in humans. The process of taking images as training data and the face recognition process using a webcam camera installed on a Raspberry pi-based device and python programming language with tensorflow library. Based on the results of research obtained using 875 data samples which were divided into 75% for training and 25% (or 219 data) for testing data produce predictions with 100% accuracy that means all data were successfully recognized.
Perancangan Aplikasi Text To Speech Untuk Informasi Gempa Bumi Supriyanto, Joko; Fadlil, Abdul; Sunardi, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.467

Abstract

Indonesia is one of the countries with the potential of large earthquakes because it is passed by three active plates, namely Indo-Australian, Eurasian, and Pacific. Earthquake information is currently still in text form, so the blind have difficulty getting earthquake information. It is needed to develop the earthquake information applications from text to sound. The source of earthquake information is taken from an XML file that has been provided by BMKG. The application development uses the Waterfall method. The testing uses a blackbox with the boundary value analysis. The results of this study is text to speech application for earthquake information. Application testing using blackbox with the boundary value analysis for six different scenarios were successfully 100% running well without any errors
Sistem Pemilihan Karyawan Terbaik Menggunakan Metode TOPSIS Nasution, Musri Iskandar; Fadlil, Abdul; Sunardi, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.219

Abstract

Merapi Online Corporation is a company located in Yogyakarta which is engaged in internet access services. Merapi Online Corporation gives rewards by selecting the best employees based on criteria as a provision of the company. This study designed a system to determine the best employee selection using a Decision Support System (DSS) with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method has the principle chosen because it has the shortest distance to positive ideal solution and the farthest distance from the negative ideal solution from a geometric point of view using Euclidean distance to determine the relative closeness of choice with the best solution. The stages of this research are the collection of employee and criteria data, then weighting the criteria and assessment, after that the calculation uses the TOPSIS method, and the final step is the analysis of the calculation results. The criteria used in this study are attendance, years of service, permission, and discipline. Research has been successfully carried out on a sample of four employees for ease in presenting the data. The results of this study obtained the preferences of each employee, which is then ranked. The biggest preference value is chosen to be the best employee.
Segmentasi Citra Kupu-Kupu Menggunakan Metode Multilevel Thresholding Maftukhah, Ainin; Fadlil, Abdul; Sunardi, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.665

Abstract

Land conversion, pollution, logging, and the use of pesticides are the main causes of butterfly extinction. This used 50 types of butterflies using different RGB colors obtained from the Kaggle website. The goal is to separate the butterfly object from the background and produce the best accuracy from the segmentation proses. The method used is Multilevel Thresholding. The results of preprocessing on the image using Multilevel Thresholding segmentation are able to identify colors and butterfly objects. The first step is RGB image input, then the image is Segmented using Multilevel Thresholding. After that, the output is displaying the image, and using a threshold value of 0-255 with the results of image segmentation, the threshold value separates the object and the background. Multilevel Thresholding segmentation with color and shape identification obtains threshold values of 100 from the dataset train, 100, and 110 from the test dataset and 140, and 150 from the validation dataset. It was concluded that the results of threshold value of the Multilevel Thresholding segmentation obtained good results
Pemodelan Prediktif Menggunakan Metode Ensemble Learning XGBoost dalam Peningkatan Akurasi Klasifikasi Penyakit Ginjal Soelistijadi, R.; Wismarini, Th. Dwiati; Eniyati, Sri; Sunardi, S
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.507

Abstract

Chronic Kidney Disease (CKD) is a serious global health problem. However, information about how many people are affected by CKD in several countries is not very abundant and is sometimes not the same from one source to another. This research aims to increase accuracy in classifying CKD patients using the XGBoost ensemble learning method. The XGBoost model was drilled using the CKD dataset of 400 data records which were divided into training data and test data with a ratio of 70% used as training data and 30% as test data. Then an optimization technique is carried out, namely the parameter tuning process using a grid search method to find the best value using 5 parameters, namely n_estimators, max_ depth, learning_rate, Subsample, Colsample bytree. The evaluation results using the confusion matrix, were obtained with an accuracy level of 99.16%, precision 98.17%, recall 99.16% and f1-score 99.16%. So the XGBoost algorithm implementing parameter tuning techniques is a good classification method that is good enough to be applied in CKD and Not CKD classification.
Co-Authors Abdul Fadlil Aditya Pradipta, Aditya Ahmad Zainul Arifin Ali Maskur Alia Fajarwati Andarini, Firda Febri Andreansyah, Hylmi Anitah W, Sri Aprilia, Nahda Cindy Apriwiyani, Hesti Arif Fatahillah Arika Indah K Arika Indah Kristiana Arika Indah Kristiani Arum Wisnanti Asviangga, Aji Bagoes Athar Zaif B Bentina Bela, Muhammad Rafi Wirdan Assyakir Tandu Cahya, R.Aj. Rafika Cahyanita, Elvin Cahyo, Rahmad Dwi D Djuwansah D. Dafik Dadan Sumiarsa Dewi Rochsantiningsih Dian Kurniati Didik Sugeng Pambudi Dieni Laylatul Zakia, Dieni Laylatul Dilla Kholilah Dinawati Trapsilasiwi Edi Supriyanto, Edi Eka Wulandari Fauziah, Eka Wulandari Elvin, Cahyanita Ema Sintia Ramadhani Erfan Yudianto Eri Zuliarso Erna Yunita Sari, Erna Yunita Ervin Oktavianingtyas Estuning Tyas Wulan Mei Eva Liskurniawati, Eva Fajar, Fahmi Alan Fonda Essa Habiba, Fonda Essa Hernawati, Tati Hersatoto Listiyono Hobri Hosnol Hotimah Hossiyatur Robbah, Hossiyatur I Ismail, I I Nyoman Murtana Ibrahim, A. F. Ika Listiana Imas Diana Aprilia Indriani, Cheryllista Inge Wiliandani Setya Putri Ja'far, Muhammad Joko Supriyanto Joli Hanafi A Juhanaini, J Khasanah, Ulfatul Lioni Anka Monalisa, Lioni Anka Maftukhah, Ainin Maharani, Nooriza Muannisa, Annis Mulyo, Robbi Nur Muta'ali, Lutfi Naili Azizah Nasution, Musri Iskandar Nida Milati Nida Nailul Nova Maulani Nurani, Idea Wening Nurcholif Diah Nurcholif Diah Sri Lestari Nurcholif Dyah Nurfiani, Merlin Nurina Anggun Ratnaningtyas Nurul Hidayati Arifani, Nurul Hidayati Octafia, Yuni Prayogi, Denis Purnomo, Risky Cahyo Purwatiningtyas, P Putri, Lamina Amalia R Ratih R. Azmil Musthafa, R. Azmil R. Soelistijadi Raifi Wulandari Randi Pratama Murtikusuma Ridwan, Briantama Yanuar Rina Maryanti RIZQITA, ALYA JILAN S Suharto S Susanto Sandy Budi Wibowo Saputri, Adhila Nuril Sari, Diah Ayu Nurvita Sefrida, Rizqi Dwi Setiawan, Toto’ Bara Siti Masruha Sri Eniyati Sri Wahyu Sri Yamtinah Sugeng Nugroho Suryandari, Nurlayli Dewi Susi Setiawani Titik Sugiarti Toto Bara Setiawan Verial Rohisah Wismarini, Th Dwiati Y Yunita Yunita, Nindya Wulan