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Pengaruh model role playing terhadap kemampuan berpikir kreatif siswa pada mata pelakaran IPAS di kelas IV Sekolah Dasar Apriyanti, Chika; Nuraeni, Fitri; Caturiasari, Jennyta
Jurnal Pendidikan Dasar Vol 12, No 1 (2024): Jurnal Pendidikan Dasar
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jpd.v12i1.82913

Abstract

The ability to think creatively is one of the abilities that needs to be improved in 21st century learning. However, in reality elementary school students' creative thinking is still low, including in Natural and Social Sciences lessons, Social Sciences sub-material. This is because the learning model used to teach social studies material is still monotonous and lecture-based. Based on this, the aim of this research is to determine the effect of role playing models on improving students' creative thinking abilities in Natural and Social Sciences subjects, Social Sciences sub-material. The type of research used in this research is a quasi-experimental model with a non-equivalent control group design, namely conducting a pretest and posttest in the experimental class and control class. The subjects in this research were 52 students of class IV elementary school consisting of 26 students of class IV A and 26 students of class IV B. The results of this research concluded that the increase in creative thinking abilities of students who received learning using the role playing model was better than that of students who receive conventional learning and there is an influence of the role playing model of 51% on students' creative thinking abilities in terms of the results of simple linear regression analysis.
Pengaruh Model Role Playing Berbantuan Media Giatorys untuk Meningkatkan Keterampilan Proses Sains pada Pembelajaran IPAS SD Rachmat, Fenita Oktaviani; Putri, Hafiziani Eka; Nuraeni, Fitri
Jurnal Pendidikan Dasar Vol 12, No 1 (2024): Jurnal Pendidikan Dasar
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jpd.v12i1.82910

Abstract

Keterampilan proses sains sangat penting untuk dikembangkan dalam proses pembelajaran khususnya pada mata pelajaran IPA karena hal ini akan memberikan bekal bagi siswa untuk memecahkan permasalahan dalam kehidupan sehari-hari. Rendahnya keterampilan proses sains siswa sekolah dasar menjadi latar belakang penelitian ini. Tujuan penelitian ini adalah untuk mengetahui pengaruh model role playing berbantuan media giatorys terhadap peningkatan keterampilan proses sains siswa pada pembelajaran IPA dan IPA di sekolah dasar; dan untuk mengetahui apakah keterampilan proses sains siswa yang mendapat pembelajaran IPA dengan model role playing berbantuan media giatorys lebih baik dibandingkan siswa yang mendapat pembelajaran IPA dengan model pembelajaran Discovery. Metode penelitian yang digunakan adalah eksperimen semu dengan jumlah subjek sebanyak 52 siswa. Diperoleh kesimpulan sebagai berikut: 1) Terdapat pengaruh pembelajaran yang menerapkan model role playing berbantuan media pendidikan terhadap peningkatan keterampilan proses sains siswa pada pembelajaran IPA dan IPA di sekolah dasar; 2) Terdapat peningkatan keterampilan proses sains siswa yang memperoleh pembelajaran IPA dengan model role playing berbantuan media giatorys lebih baik dibandingkan siswa yang memperoleh pembelajaran IPA dengan model pembelajaran Discovery.
Edukasi Pengelolaan Sampah Anorganik Terhadap Pengetahuan Dan Sikap Masyarakat Desa Sirnajaya Pamella M Sri Rezeki; Athaya Zhafirah; Rachminawati; Eko Walujodjati; Anjas Ninda Hantari; Ida Farida; Rina Kurniawati; Sulwan Permana; Dendi Yogaswara; Nanang; Adi Susetyaningsih; Ismi Purnamasari; Reski Ramadhani; Yeni Pariyatin; Alan Wijaya; Ratu Mafas Sukmalaras; Subhan Mulyana; Agus Ismail; Cepi Wendiki Alamsyah; Ganjar Jojon Johari; Greece Maria Lawalata; Madi Hermadi; Rudy Febrijanto; Fitri Nuraeni; R Dini Destiani Siti Fatimah; Risma Liyana Ulfa; Sri Rahayu
Jurnal PkM MIFTEK Vol 7 No 1 (2026): Jurnal PkM Miftek
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.7-1.3416

Abstract

Inorganic waste management remains a significant environmental challenge in rural areas. This Community Service Program (PkM) aimed to evaluate the effectiveness of an educational intervention on inorganic waste management in improving the knowledge and attitudes of residents in Sirnajaya Village, Garut. The program was conducted on February 4, 2026, in collaboration with the Garut Zero Waste community using a pre-test and post-test design involving 18 participants, consisting of housewives, university lecturers, and community members. The assessment instrument covered five indicators: understanding the definition of inorganic waste, identifying examples of inorganic waste, recognizing the environmental impacts of improper waste disposal, attitudes toward waste segregation, and intentions to reduce the use of single-use plastics. The results showed that 83.3% of the participants already possessed a high level of baseline knowledge. Consequently, the improvement in post-education scores was relatively limited, with an average normalized gain (N-Gain) of 0.11. This finding reflects a common ceiling effect, rather than indicating the ineffectiveness of the educational program. Nevertheless, three out of eighteen participants with lower initial knowledge demonstrated substantial improvements, achieving moderate to high levels of learning gain. Overall, the program contributed primarily to strengthening participants' knowledge and behavioral intentions regarding inorganic waste management. However, measurable changes in actual household waste management practices require further medium-term observation and follow-up evaluation.
Raspberry Based Hand Gesture Recognition Using Haar Cascade and Local Binary Pattern Histogram Helfy Susilawati; Fitri Nuraeni
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 4 (2022): Desember
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i4.24643

Abstract

Many companies and even public institutions for civil servants currently use photo-taking for the attendance. However, this strategy is still considered ineffective since the employees still can hack the attendance by making their own photos and put them in their desks. Therefore, an alternative that can complement the current face detection method is highly needed so that the employee’s attendance can be directly monitored. One of the methods that can be used to detect the attendance is hand gesture detection. This research aims to detect hand gestures made by the employees to ensure whether they really come to work or not. This research make  the chance for manipulation using photo or fake GPS is quite small. For the purpose of hand gesture recognition, this study utilized Local Binary Pattern Histogram algorithm. The hand gesture image was first taken using a raspberry pi camera and then processed by the device to examine whether it matches the registered ID or not. The results showed that ID recognition by using hand gestures is detectable. The number recognition in hand gestures includes numbers 1 to 10. The test results showed that for 5 trials, the average time required for reading hand gestures using a laptop was 9.2 seconds, while that of using raspberry was 14.2 seconds. The results of this research show that the system has not been able to distinguish which hand is read first, so numbers that have the same number are considered the same, such as 81 and 18. So, the motion reading using a raspberry takes longer than that of using a laptop because the laptop's performance is higher than that of a raspberry and system cannot distinguish between numbers consisting of the same number.
STEM in ecological issues (STEMCology): Block-based programming for computational thinking in pre-service elementary teachers Hikmatunisa, Nenden Permas; Nurussama, Alfiana; Rahayu, Teten Ginanjar; Nuraeni, Fitri; Wulan, Neneng Sri; Yogiarni, Tiara; Ravy, Hun
Edubiotik : Jurnal Pendidikan, Biologi dan Terapan Vol. 11 No. 01 (2026): May
Publisher : Biology Education Department, Universitas Insan Budi Utomo, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33503/ebio.v11i01.2581

Abstract

Pre-service elementary teachers face persistent challenges in developing computational thinking (CT) alongside ecological literacy, an area underexplored at the elementary teacher-education level and lacking a validated, population-specific instrument. This study designed and evaluated STEMCology, a design-based research (DBR) framework integrating STEM principles, biological ecological content, and Tynker block programming, to develop pre-service elementary teachers' CT competencies. A one-group pretest-posttest design was used with 74 participants from two classes at one university. The framework comprised four phases: analysis and exploration, identifying eight ecological anchor topics and contextualizing a 29-item, five-dimension CT scale; design and construction, where students built flowchart-guided, ecology-themed Tynker games; evaluation and reflection, in which MSI-converted CT scores showed statistically significant improvements across all five dimensions (p < 0.05), with creativity showing the largest gain (N-Gain = 0.401, medium category) and the remaining dimensions showing low-category gains (0.089 – 0.199); and redesign and refinement, where students revised their games based on evaluation findings to enhance ecological accuracy, logical structure, and playability. These findings suggest that ecologically grounded, block programming-based interventions can be meaningfully integrated into teacher education curricula to cultivate CT competencies in future elementary school teachers.
A Bilingual Academic Chatbot Based on Semantic Retrieval Using mBERT Leni Fitriani; Sahrudin Fiqri Muzahidar; Ade Sutedi; Fitri Nuraeni
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 2, July 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i2.29667

Abstract

This study proposes a bilingual academic chatbot based on a semantic retrieval approach using the Multilingual BERT (mBERT) transformer architecture to support academic information services in higher education. The dataset was constructed from official academic information at Garut Institute of Technology, including new student admissions, academic calendars, institutional profiles, and lecturer and staff data. The data were organized in a bilingual question–and–answer format in Indonesian and English. The mBERT model was fine-tuned using a Sentence-BERT framework to generate sentence embeddings for semantic retrieval tasks, with MultipleNegativesRankingLoss applied during training. Model performance was evaluated using BERTScore to measure semantic similarity between chatbot responses and human reference answers. Experimental results show that the fine-tuned model outperformed the base model, achieving an average F1-score improvement from 0.7638 to 0.8152 for Indonesian and from 0.7556 to 0.8005 for English. The results also demonstrate more stable score distributions, indicating consistent semantic performance. The optimized model was subsequently integrated into a web-based prototype to enable real-time bilingual academic question answering. These findings confirm that combining mBERT with semantic retrieval effectively enhances the relevance and contextual accuracy of chatbot responses, thereby supporting digital transformation and improving the efficiency of academic services in higher education.
Komparasi Algoritma Greedy Best First Search Dan Ant Colony Optimization Untuk Pemilihan Jalur Evakuasi Bencana Alam Sutedi, Ade; Nugraha, Mohammad Dimas Maulana; Fitriani, Leni; Nuraeni, Fitri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 4: Agustus 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.134

Abstract

Ketidaktepatan dalam pemilihan jalur evakuasi pada situasi bencana alam berpotensi menyebabkan keterlambatan proses penyelamatan dan meningkatkan risiko bagi korban. Permasalahan tersebut menjadi dasar dilakukannya penelitian ini untuk mengkaji strategi penentuan rute evakuasi yang lebih efisien. Penelitian ini bertujuan mengevaluasi dan membandingkan performa algoritma Greedy Best First Search (GBFS) dan Ant Colony Optimization (ACO) dalam menentukan jalur evakuasi dengan jarak terpendek dan waktu tempuh tercepat dari lokasi bencana ke titik evakuasi. Proses pengujian dilakukan melalui pengembangan prototipe berbasis Python yang memanfaatkan graf sebagai representasi jaringan jalur dan posisi geografis lokasi bencana, dengan pendekatan metode pengembangan prototipe. Analisis kinerja kedua algoritma difokuskan pada pengukuran waktu pemrosesan dan panjang rute yang dihasilkan. Hasil evaluasi menunjukkan adanya perbedaan kinerja kedua algoritma secara kuantitatif berdasarkan parameter yang diuji. Secara statistik, GBFS menunjukkan efisiensi komputasi yang sangat signifikan dengan waktu rata-rata >8.000 kali lebih cepat dibandingkan ACO serta tingkat keberhasilan 100%. Meskipun kualitas bobot rute setara pada sebagian besar skenario, ACO menunjukkan variabilitas waktu yang tinggi dan kegagalan solusi pada satu titik awal, namun unggul dalam menghasilkan rute alternatif. Temuan ini diharapkan dapat memberikan kontribusi sebagai bahan rujukan dalam pengembangan sistem evakuasi yang lebih efektif untuk mendukung upaya mitigasi dan penanggulangan bencana alam.   Abstract Inaccurate evacuation route selection during natural disasters can potentially delay rescue efforts and increase the risk to victims. This issue underpins this research, which explores strategies for determining more efficient evacuation routes. This study aims to evaluate and compare the performance of the Greedy Best First Search (GBFS) and Ant Colony Optimization (ACO) algorithms in determining evacuation routes with the shortest distance and fastest travel time from the disaster site to the evacuation point. The testing process was conducted through the development of a Python-based prototype that utilizes graphs to represent the path network and the geographic location of the disaster site, using a prototype development method approach. Performance analysis of both algorithms focused on measuring processing time and the length of the resulting route. The evaluation results showed quantitative differences in the performance of the two algorithms based on the tested parameters. Statistically, GBFS demonstrated highly significant computational efficiency, with an average time >8,000 times faster than ACO and a 100% success rate. Although the quality of the route weights was equivalent in most scenarios, ACO exhibited high time variability and solution failure at one starting point, but excelled in generating alternative routes. These findings are expected to contribute as reference material in developing a more effective evacuation system to support natural disaster mitigation and response efforts.
Co-Authors Ade Rukmana Ade Sutedi Ade Sutedi, Ade Adi Susetyaningsih Aflaah, Gina Ramadhantie Afridha Laily Alindra Agus Ismail Ajif, Arvin Muhammad Alamsyah, Hadi Alan Wijaya Algi Muhammad Sahrin Alindra, Afridha Laily Amarullah Bachtiar Amrulloh, Muhammad Fawaz Andi Sanjaya Anisa Devisa Putri Anisa, Kamelia Anjas Ninda Hantari Apriyanti, Chika Asep Deddy Supriatna Asri Mulyani Astri Yuliastri Ati Nursahati Ayu Utami, Neng Riski Azhari, Sonia Nada Nur Azzahra, Elvyn Kemala Caturiasari, Jennyta Cepi Wendiki Alamsyah Dani Kustiawan Dede Kurniadi Dendi Yogaswara Dewi Tresnawati Dewi Tresnawati dewi, rinanda Diazki, Moch Haiqal Diki Jaelani Dini Destiani Siti Fatimah Egi Badar Sambani, Egi Badar Eko Walujodjati Elsen, Rickard Faturrohman, Nadhif Fauza Rohman Firdaus Al Anwari, M Riadi Firmansyah, Marshal Ganjar Jojon Johari Gisna Fauzi Gisna Fauzian Dermawan Greece Maria Lawalata Hadi Wijaya, Tryana Hafiziani Eka Putri, Hafiziani Eka Hazar, Aura Fitria Helfy Susilawati HELFY SUSLAWATI Hikmatunisa, Nenden Permas Ida Farida Ilmasik, Heryaman Saptahadi Imas Dewi Ariyanti Indra Nurfajri Inna Risdiani Ismi Purnamasari Jaelani, Jaka Muhammad Jatnika, Rijal Ajji Kahfi, Mochammad Leni Fitriani Leni Fitriani, Leni Liptia Venica Madi Hermadi Maulana Firdaus, Muhammad Hasby Maulana Ramdani Maulana Yusuf Moch. Lutfhi Waliyul Fahmi Muhamad Rifki Renaldi Muhammad Arief Sobirin Muhammad Farhan Muhammad Ghopur Muhammad Rikza Nashrulloh Muhammad Syauqi Mubarok Nanang nanang nanang Nashier, Luthfi Abdurahman Neneng Sri Wulan Nopi Krisnawati Nugraha, Mohammad Dimas Maulana Nurhajati, Ayu Rahayu Nurussama, Alfiana Pamella M Sri Rezeki Permata Ayu, Metaninda Puspa Rahayu Putra, Yuda Pratama Putri, Puput R Dini Destiani Siti Fatimah R. Mujahid Al-Haq Rachmat, Fenita Oktaviani Rachmatullaily Tinakartika Rinda Rachminawati Raden Erwin Gunadhi Rahayu Raharja, Indra Trisna Rahayu, Diva Nuratnika Rahayu, Teten Ginanjar Ratu Mafas Sukmalaras Ravy, Hun Reftiana Rohman, Ripan Reski Ramadhani Ridwan Setiawan Ridwan Setiawan Ridzky Ichlasul Amal Rijal Ajji Jatnika Rika Lestari Rina Kurniawati Rinda Cahyana Rinda Cahyana Risa Aisyah Risma Liyana Ulfa Rizky Febriana Rudy Febrijanto Sahrudin Fiqri Muzahidar Salis Elmadani Siti Luthfiah Khoirotunnisa Siti Wahyuni, Yayu Sofyan Iskandar, Sofyan Sri Mulyani Lestari Sri Rahayu Sri Rahayu Subhan Mulyana Sulwan Permana Suryani, Isma Susanto Susanto Syahrum Agung Tanpidzia, Mochammad Kahfi Tazqia Aulia Rahmawati Ujang Falah Purnama, Ujang Falah Vernanda Adhitya Darmawan Wahyu Sindu Prasetya Wijdan Nurhakim Yeni Pariyatin Yoga Handoko Agustin Yoga Handoko Agustin Yogiarni, Tiara Yosep Septiana Yuda Pratama Putra Yuda Purnama Putra Yusuf , Alifa Witri Alfahira Yusuf, Alifa Witri Alfahira Zaelani, Jaka Muhammad