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PENERAPAN MODEL CONTEXTUAL TEACHING AND LEARNING (CTL) BERBANTUAN MEDIA AUDIOVISUAL UNTUK MENINGKATKAN HASIL BELAJAR IPAS KELAS III SD 1 JATI WETAN Arif Budianto; Erik Aditia Ismaya; Redjeki Handayani; Linda Ratna Sar
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.32064

Abstract

The study aims to determine the improvement of the learning outcomes of the students using the Contextual Teaching and Learning (CTL) model supported by the learning media audiovisual in IPAS subjects. The type of research used in this research is classroom action research. Data collection using interviews, observations, written tests, and documentation. Class Action Research was conducted in SD 1 Jati Wetan class III with 9 students. The results obtained in this study are showed improvement in each cycle. In the pre cycle the average value obtained is 66,66, in the first cycle is 69,44, and in the second cycle is 78,88. And the percentage of completeness in the pre cycle reaches 33,33%, in the first cycle is 55,55%, and in the second cycle is 88,88%. Thus, it can be concluded that the application of Contextual Teaching and Learning (CTL) in IPAS subjects in elementary school can improve learning outcomes.
PENYELARASAN LARGE LANGUAGE MODEL SEBAGAIASISTEN PEMBELAJARAN DI SMAN 1 GERUNG Ramadian Ridho Illahi; Suhayat Minardi; Dian Wijaya Kurniawidi; Arif Budianto; Adella Ulyandana Jayatri; Nurul Qomariyah; Lily Syahana Rahim
Dharma Pengabdian Perguruan Tinggi (DEPATI) Vol 5 No 2 (2025): November 2025
Publisher : Fakultas Sains dan Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/31sdgv53

Abstract

Pembelajaran fisika sering kali menjadi tantangan, terutama karena kompleksitas materi serta metode pengajaran konvensional yang kurang mendukung kebutuhan individu siswa. Guru menghadapi keterbatasan waktu dan sumber daya untuk memberikan perhatian personal kepada setiap siswa, sementara platform berbasis kecerdasan buatan (AI) yang tersedia belum sesuai dengan kurikulum nasional. Pengabdian ini bertujuan mengembangkan aplikasi tutor virtual berbasis AI untuk mendukung pembelajaran fisika yang adaptif dan relevan. Aplikasi ini dirancang untuk menyajikan materi sesuai kurikulum, memberikan penjelasan interaktif, memantau kemajuan siswa, dan menyediakan umpan balik konstruktif. Metode yang digunakan mencakup analisis kebutuhan sekolah mitra, pengembangan kurikulum digital, implementasi teknologi Large Language Model (LLM), serta uji coba di sekolah mitra. Hasil pelatihan menunjukkan peningkatan signifikan dalam pemahaman konsep dan kemampuan menyusun solusi berbasis AI, dengan 85% peserta berhasil menciptakan prototipe model kontekstual. Untuk menjamin keberlanjutan, disusun repositori digital terbuka dan klinik virtual sebagai pusat dukungan teknis dan kolaborasi. Inisiatif ini membuktikan bahwa LLM dapat menjadi alat efektif untuk personalisasi pembelajaran sains yang diharapkan dapat meningkatkan kualitas pembelajaran fisika secara signifikan.
Identifikasi Hubungan Antara Salinitas dan EC (Electrical Conductivity) Untuk Pengembangan Mitigasi Pengukuran Numerik-in Situ di Area Estuari: Mitigasi Kebencanaan Kualitas Air di Muara Kerandangan Budianto, Arif; Alaydrus, Alfina Taurida; Rahayu, Susi; Andini, Mira; Anggriani, Ni Ketut; Fajarica, Shinta Desiyana
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 11 No. 3 (2025): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v11i3.946

Abstract

The dynamic nature of estuarine waters necessitates new and accurate methodological approaches for determining salt content or salinity. This can be achieved through direct and real-time measurement of instantaneous and daily EC (Electrical Conductivity) levels in estuaries using EC sensors. On the other hand, similar real-time research has been limited, especially for studies of a continuous real-time nature. Therefore, this study aims to identify the relationship between EC and salinity in an estuary, using the area around the Batulayar estuary, West Lombok Regency, as a case study, employing a direct measurement model continuously for one full day. Measurements were conducted over 5 days during different lunar phases, using direct data acquisition and a numerical linearity approach via data analysis plug-ins. The identification results demonstrate a relationship between EC and salinity. At minimum values, salinity decreases as EC decreases. This reduction follows a quadratic pattern, with an obtained coefficient of determination (R²) of 0.8684 (y = 87397x² – 11173x + 2004.8). This characteristic is also supported by other measured parameters, such as TDS (Total Dissolved Solids), which exhibits a linear relationship with EC. The relationship characteristic between TDS and EC is considerably stronger, as indicated by a linear equation (R² > 0.90).
A development of an IoT-based temperature-TDS monitoring system for shrimp cultivation pond Akhyar, Halil; Budianto, Arif; Rahayu, Susi; Alaydrus, Alfina Taurida; Anggriani, Ni Ketut; Wardi, Palaivia Harman; Pranahita, Dewa Dwi; Andini, Mira
ORBITA: Jurnal Pendidikan dan Ilmu Fisika Vol 11, No 2 (2025): November
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/orbita.v11i2.36423

Abstract

High-quality water resources are important parameters for the sustainability of human civilization, the health of ecosystems, and the advancement of vital sectors. High-quality water is also needed for shrimp cultivation ponds. However, water-quality monitoring in the estuary is limited. In line with this, this study focuses on the design and implementation of an IoT-based TDS and temperature measurement system for estuarine water, aiming to develop an efficient, accurate, and automated prototype to support the fisheries sector in West Lombok regency. This study used a microcontroller, temperature and TDS (total dissolved solids) sensors, a wireless router, and a display. These elements were developed as a water-quality-level monitoring system based on TDS and temperature. The system was calibrated using a standard comparator before being examined under real conditions. The calibration procedure was conducted inside a controlled chamber at a water temperature of 25°C for 60 minutes, with a steady flow rate. All procedures were repeated three times and tested using a Student’s t-test. The IoT platform was tested using RSSI values with a 2s update interval. The calibration data were interpreted as a linear function between the standard and the developed system. The resulting design shows that the developed system can be installed at a shrimp cultivation pond with good performance. The designed system has a linearity of more than 90%. The system has a reliable accuracy level over 30 consecutive measurement days, resulting in the percentages of 85% to 93% (average = 91%). It can be concluded that IoT data communication via a wireless internet router performs well, with RSSI> -50 dBm for both sending and receiving. The IoT platform using ThingSpeak shows good performance (good stability), with a 2-second interval between data updates.
PENINGKATAN KESIAPSIAGAAN BENCANA EMISI UDARA PADA KELOMPOK MAJLIS TA’LIM BAITURRAHMAN PESONA BANYU ASRI MELALUI IMPLEMENTASI MANAJEMEN UDARA BERBASIS IOT Budianto, Arif; Alaydrus, Alfina Taurida; Akhyar, Halil; Rahayu, Susi; Hasanah, Khofizzatul; Nurfadilah, Nurfadilah; Andini, Mira; Pranahita, Dewa Dwi; Wardi, Palaivia Harman
Jurnal Abdi Insani Vol 12 No 10 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i10.3034

Abstract

Air emissions are a critical issue that can directly impact public health. The larger the emission source, the greater the potential for exposure to the resulting emissions. This problem is also faced by residents (partners) in the Pesona Banyu Asri neighborhood, Banyumulek, West Lombok Regency. Air pollution generated from many directions (four main sources) in the partner area (waste management at the Kebon Kongok landfill, plastic waste processing at BRIDA, waste processing into biofuel, and the pottery production process in the Banyumulek tourist village) is quite high, but the process of quantifying and characterizing emissions has not been implemented/studied in detail. Therefore, the purpose of this community service is to provide alternative solutions that can improve community preparedness regarding air emission disaster mitigation. The implementation method of community service activities is focused on PAR (participatory action research) techniques to improve social aspects of the community. The priority is to identify problems and provide alternative solutions related to the impact of air emission exposure due to emission source activities around the partner area. The IoT (Internet of Things)-based air management system developed by the community service team was previously implemented directly in the community, through stages of observation, socialization, training, installation, and final assessment. The results of the community service process can be seen from the questionnaire data quantification process, where there was a significant increase between before and after the community service activity. The readiness of the partner community increased by 62% regarding the ability to understand air mitigation, both in terms of understanding the types of air emissions, air purification systems, and the operation of the IoT-based air management system that is beneficial for partners.
A Preliminary Study of Exhaled Breath Profiling of GERD-Asthma using an E-nose and Carbon Dioxide Concentration as Biomarkers Hadi, Kasnawi Al; Anggriani, Ni Ketut; Budianto, Arif; Nabilla, Dewi Alya; Farahin , Dewi Nor
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 15 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v15n1.p1-11

Abstract

Carbon dioxide plays a vital role in the human body. Many studies confirm that changes in carbon dioxide concentrations can serve as biomarkers for various health problems. This biomarker can be detected using several techniques, including an electronic nose (e-nose). However, there is a limitation in the e-nose's function and development in specific health cases, especially in respiratory or other systems. In line with this, this study aims to develop an economical, simple e-nose based on a CO2 (carbon dioxide) gas sensor and to establish an exhaled breath profile related to asthma and GERD (gastroesophageal reflux disease), which are common daily health problems. For this purpose, 90 exhaled breath samples from three different health conditions were obtained as the primary breath profiling samples: healthy, GERD, and asthma. The samples were measured and analyzed using a simple e-nose based on a high-sensitivity carbon dioxide sensor. The e-nose was calibrated and tested under laboratory-scale procedures, including linearity, accuracy, and sensitivity examinations. Then, the collected samples were classified, analyzed, and interpreted to produce a profile prediction for those health problems. The results show that the e-nose system can measure CO2 gas concentrations in the range of 400-9700 ppm. There are three selective profiles of the exhaled breath samples: healthy (450 to 899 ppm), GERD (3327 to 5381 ppm), and asthma (6612 to 9706 ppm). It can be concluded that the developed e-nose can classify different health conditions. There is a significant difference between healthy, GERD, and asthma samples (p < 0.05). These differences were interpreted as breath profiles with an accuracy level of 84%. This research may contribute to a preliminary investigation of breath profiles for specific health problems, with a rapid response time and high accuracy.
Pemasangan Jaringan Sistem Pengukuran Sebaran Fine Partikel di Area Pesisir Sekotong Barat Hadi, Kasnawi Al; Budianto, Arif; Alaydrus, Alfina Taurida; Rahayu, Susi
Jurnal Pengabdian Magister Pendidikan IPA Vol 8 No 4 (2025): Oktober-Desember 2025
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v8i4.14054

Abstract

Pengabdian kepada Masyarakat (PkM) ini dilatarbelakangi oleh minimnya data kualitas udara, khususnya konsentrasi partikel halus (PM2.5), di kawasan pesisir Sekotong Barat yang berpotensi terpapar polusi dari aktivitas antropogenik dan alamiah, sehingga diperlukan sistem pemantauan yang representatif. Tujuan PkM ini adalah untuk melakukan pemasangan dan menyosialisasikan jaringan sistem pengukuran sebaran fine particle guna memetakan tingkat pencemaran udara berbasis partikulat secara real-time di wilayah tersebut. Metode pelaksanaan mencakup survei lokasi untuk menentukan titik pemasangan yang strategis, instalasi sensor partikulat yang terhubung ke sistem pencatatan data, serta pendampingan dan pelatihan kepada masyarakat mengenai operasional dan interpretasi data. Hasil implementasi menunjukkan bahwa jaringan sistem telah terpasang dan beroperasi dengan baik, menghasilkan data awal sebaran PM2.5 yang bervariasi berdasarkan waktu dan lokasi, sementara pembahasan mengindikasikan bahwa data ini dapat menjadi dasar ilmiah bagi pemangku kepentingan dalam upaya pengelolaan lingkungan dan peningkatan kesadaran masyarakat akan pentingnya kualitas udara.
The Influence of the Tide Levels on the Water Electrical Conductivity Parameter in the Estuary Area: In-Site and Real-Time Measurement Alaydrus, Alfina Taurida; Budianto, Arif; Rahayu, Susi; Andini, Mira; Akhyar, Halil; Anggriani, Ni Ketut
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10881

Abstract

One area that requires attention in water quality studies is the estuarine ecosystem. Estuaries are transition zones connecting freshwater and marine waters, thus possessing unique environmental dynamics. However, there is limited information regarding the effect of sea tides in the area on local estuary water quality. Therefore, this study aims to identify the existing relationship between sea tide levels and EC values, using an IoT-based system that is portable, lightweight, and capable of operating in real time. This study was conducted over five days in Senggigi village, Batulayar, West Nusa Tenggara, Indonesia. The collected data focused on the EC parameter's water quality levels at different tide levels, which were monitored using the self-developed system. This system was developed using an EC sensor, a microcontroller, and a wireless internet router (for wireless data communication via ThingSpeak.com). This system was also equipped with a pH sensor, a TDS sensor, and a water temperature sensor. The recorded data show that the resulting data are valid and highly accurate, and that the system is ready for examination at the measurement area. The resulting data show that the correlation between tide level and EC value is logarithmic, with a regression coefficient of 0.934. The EC level was about 20.42 – 62.54 mS/cm, depending on the tide level. It can be concluded that the tide level indeed influences the EC parameter in the estuary area. Moreover, TDS plays an important role in regulating EC levels, underscoring the need to systematically measure this parameter in any estuarine water-quality study.
Measurement of Volatile Organic Compound Concentrations in the Exhaled Breaths of Ulcer and Non-Ulcer Samples: A Breath Profiling Hadi, Kasnawi Al; Alhadawiah, Sabila; Budianto, Arif; Wirawan, Rahadi; Mardiana, Laili
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i1.2733

Abstract

VOCs in exhaled breath have been shown to have diagnostic value for various respiratory diseases such as chronic obstructive pulmonary disease, asthma, and interstitial pneumonia. In diseases such as ulcers, increased levels of certain VOCs are caused by metabolic changes or abnormalities in the gut microbiome that contribute to disease symptoms. In line with this, this study aims to identify VOCs in the breath of people suffering from ulcer and non-ulcer samples (pre-clinical), using the CCS811 sensor. The methods used are clean air (calibration) and formaldehyde gas (examination) measurement inside an exposure chamber for 100 seconds. Then, the breath samples were collected and analyzed to measure the VOC concentrations. The differences in VOC concentration levels detected in breath samples in the two classifications were obtained. Breath samples from ulcer samples tend to show higher VOC concentrations than non-ulcer samples. These results show that there is a relationship between VOC concentration levels in the ulcer samples. The non-ulcer samples tends to be more stable and has lower VOC concentration levels. The increase in VOC levels is caused by changes in metabolism or abnormalities in the gut microbiome. The ANOVA results showed that there were significant differences between the ulcer and non-ulcer samples.
Integration of Electrostatic Precipitator-Ionizer-HEPA Filter for a Low Power Air Filtration System Budianto, Arif; Andini, Mira; Hadi, Kasnawi Al; Mardiana, Laili; Qomariyah, Nurul; Hudha, Lalu Sahrul; Devitanala, Titi
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i1.2744

Abstract

Air pollution has become an important issue due to its impacts on human health and the environment. Especially indoor air pollution has more attached many concerns because humans also spend their time every day indoors. Indoor air pollutants in terms of particulate matter (PM) in different size distribution and gasses come from different sources such as smoke, hair spray, mosquito disinfectant, cooking, etc. The air purifier has become popular in the pandemic era at the being. In this research, we developed an indoor PM purification system technology by integrating three filtering methods: HEPA filter, electrostatic precipitator, and an ionizer to clean air by reducing PM concentration. The purpose of this study is to obtain the indoor purification system capable of cleaning non-bioaerosol PMs. The investigation was conducted in a chamber using several particulate matter sources. From both PM sources, it can be concluded that the purification system works well to purify the air in the tested chamber. The measurements of the different PM size distribution concentrations show that the system has the purification efficiency of 90±1% (non-bio fine particle) and 91±1% (non-bio coarse particle).