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All Journal Infotech Journal Jurnal Tataloka Journal of Information Technology and Computer Science (JOINTECS) JURNAL ILMIAH GEOMATIKA Jurnal Geografi, Edukasi dan Lingkungan JOURNAL OF APPLIED INFORMATICS AND COMPUTING JMM (Jurnal Masyarakat Mandiri) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Krea-TIF: Jurnal Teknik Informatika Jambura Geoscience Review JATI (Jurnal Mahasiswa Teknik Informatika) JURNAL CITRA WIDYA EDUKASI Jurnal Riset Jakarta International Journal of Educational Research and Social Sciences (IJERSC) ETNIK : Jurnal Ekonomi dan Teknik JITSI : Jurnal Ilmiah Teknologi Sistem Informasi MASTER: Jurnal Manajemen Strategik Kewirausahaan Jurnal Penelitian Geografi (JPG) Jurnal Lemhannas RI KREATIF: Jurnal Pengabdian Masyarakat Nusantara International Journal of Health and Pharmaceutical (IJHP) Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Erwin Hermawan
Program Studi Teknik Informatika, Universitas Ibn Khaldun Bogor
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Pengolahan Data Remote Sensing Menggunakan Wavelet untuk Menghasilkan Citra Bebas Awan Kamali, Alviyan Badro; Laxmi, Gibtha Fitri; Hudjimartsu, Sahid Agustian; Hermawan, Erwin; Wulandari, Berlina; Hendriawan Nur, Wawan
Krea-TIF: Jurnal Teknik Informatika Vol 13 No 1 (2025): Krea-TIF 2025
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perekaman citra satelit di wilayah tropis, seperti Indonesia, sering mengalami penurunan kualitas akibat gangguan (noise), salah satunya adalah tutupan awan yang menghalangi objek dan menghilangkan detail informasi penting. Pada citra satelit Moderate-resolution Imaging Spectroradiometer (MODIS), keterbatasan jumlah band spektral tanpa band thermal menjadi tantangan tersendiri dalam mendeteksi awan dan bayangannya. Penelitian ini mengusulkan penerapan metode cloud masking berbasis Discrete Wavelet Transform (DWT) 2D untuk mengidentifikasi dan menghilangkan awan, diikuti dengan proses image fusion untuk memperoleh citra bebas awan. Transformasi wavelet membagi citra beresolusi tinggi menjadi koefisien frekuensi rendah (LL) dan tinggi (HL, HH, LH), dimana komponen LL digantikan oleh citra multispektral yang telah di-resample. Evaluasi kinerja metode dilakukan menggunakan confusion matrix yang menghasilkan akurasi global mencapai 99% dengan commission error terendah pada kelas bayangan awan (0,001) dan omission error terendah pada kelas darat dan laut (0). Hasil ini menunjukkan bahwa metode DWT-2D mampu mendeteksi awan dan bayangannya secara efektif, sehingga berpotensi meningkatkan kualitas pemanfaatan citra MODIS di wilayah tropis.
Artificial Intelligence Application Usage Training: ChatGPT, Gamma, and Bing Image Creator In SMK Taman Siswa Bogor Students Primasari, Dewi; Kamilah, Nurul; Hermawan, Erwin; Riana, Freza; Laxmi, Gibtha Fitri; Yanuarsyah, Iksal; Hadjimartsu, Sahid Agustian; Eosina, Puspa
Jurnal Pengabdian Masyarakat Inovatif Vol. 3 No. 1 (2025): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v3i1.157

Abstract

The development of artificial intelligence technology has opened up new opportunities in the world of education, especially for vocational high school students who need digital skills to compete in the era of the industrial revolution 4.0. However, the implementation of this technology still faces challenges such as low digital literacy and limited infrastructure. This study aims to provide training on artificial intelligence applications (ChatGPT, Gamma, and Bing Image Creator) in improving the digital competence of SMK Taman Siswa Bogor students. The training method uses a participatory approach with three main stages: preparation (needs analysis, material preparation), implementation (theoretical training, direct practice, and case studies), and evaluation (pre-test, post-test, and interview). Participants consisted of 18 students and 2 teachers. Data analysis was carried out quantitatively (statistical tests). The results showed a significant increase in understanding the concept of artificial intelligence (from 32.4% to 78.6%) and mastery of applications (82% for ChatGPT, 79% Gamma, 71% Bing Image Creator). In addition to technical aspects, 88% of participants reported increased motivation to learn and 41% showed interest in technology-based careers. Key challenges included limited infrastructure (23% network issues) and varying participant abilities, which were successfully addressed through differentiated learning approaches and the use of personal devices.
Artificial Intelligence Application Usage Training: ChatGPT, Gamma, and Bing Image Creator In SMK Taman Siswa Bogor Students Primasari, Dewi; Kamilah, Nurul; Hermawan, Erwin; Riana, Freza; Laxmi, Gibtha Fitri; Yanuarsyah, Iksal; Hadjimartsu, Sahid Agustian; Eosina, Puspa
Jurnal Pengabdian Masyarakat Inovatif Vol. 3 No. 1 (2025): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v3i1.157

Abstract

The development of artificial intelligence technology has opened up new opportunities in the world of education, especially for vocational high school students who need digital skills to compete in the era of the industrial revolution 4.0. However, the implementation of this technology still faces challenges such as low digital literacy and limited infrastructure. This study aims to provide training on artificial intelligence applications (ChatGPT, Gamma, and Bing Image Creator) in improving the digital competence of SMK Taman Siswa Bogor students. The training method uses a participatory approach with three main stages: preparation (needs analysis, material preparation), implementation (theoretical training, direct practice, and case studies), and evaluation (pre-test, post-test, and interview). Participants consisted of 18 students and 2 teachers. Data analysis was carried out quantitatively (statistical tests). The results showed a significant increase in understanding the concept of artificial intelligence (from 32.4% to 78.6%) and mastery of applications (82% for ChatGPT, 79% Gamma, 71% Bing Image Creator). In addition to technical aspects, 88% of participants reported increased motivation to learn and 41% showed interest in technology-based careers. Key challenges included limited infrastructure (23% network issues) and varying participant abilities, which were successfully addressed through differentiated learning approaches and the use of personal devices.
PEMBUATAN DAN PENGGUNAAN ALAT FILTER SAMPAH DI SALURAN AIR DESA CIBUNTU UNTUK MEWUJUDKAN LINGKUNGAN BERSIH DAN BEBAS BANJIR Alamsyah, Muhamad Alwi; Firmansyah, Muhamad Geni; Damanhuri, Nuri Abiyyah; Fahrezi, Muhamad Azmi; Nurjanah, Siti; Fauzia, Vynnie; Hermawan, Erwin
JPMUJ Vol. 2 No. 2 (2024): SEMUA ARTIKEL TERBIT SECARA ONLINE
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jpmuj.v2i2.2274

Abstract

The research conducted in Cibuntu Village, Ciampea District, presents an innovative solution to combat environmental issues such as flooding and pollution caused by improper waste management in water channels. This initiative is manifested through the development and utilization of a Trash Filter Device (TFD). The TFD, a tangible outcome of collaborative efforts and careful planning, addresses the pressing problem of garbage accumulation within water channels, which has been a significant contributor to the recurring issue of flooding, not only in Cibuntu Village but also in many rural areas, including those in Indonesia. Floods, beyond their material losses, pose a severe threat to natural ecosystems, and thus, it is imperative to find effective and sustainable solutions to tackle garbage accumulation within these channels. The TFD offers a promising solution by intercepting and preventing waste from entering the water channels. The research process encompasses several systematic steps. It begins with a preliminary study, including the identification of water channel locations in Cibuntu Village and the collection of historical flood data. The TFD is then meticulously designed to meet the specific needs of the village, utilizing appropriate materials and technology while considering production costs and maintenance estimates. The TFD installation took place in designated water channels and underwent rigorous testing to monitor its trash-catching performance. Simultaneously, surveys were conducted among the local community to gauge their satisfaction and understanding of the TFD. The collected data, both from testing and surveys, were comprehensively analyzed to provide valuable insights and recommendations for TFD implementation and potential policy implications. This research contributes positively to addressing flood challenges and environmental pollution at the local level. By adopting the TFD technology and considering its social and economic aspects, this initiative not only presents a tangible solution but also empowers communities to actively participate in mitigating environmental issues. It is anticipated that this research will serve as a model for similar communities facing similar challenges, ultimately leading to cleaner and flood-free environments.
Analisa Pola Perubahan Suhu Permukaan Menggunakan Google Earth Engine Berbasis Web Gis Hermawan, Erwin; Agustian, Sahid; Wahyudi, Ikmal
Jurnal Etnik: Ekonomi-Teknik Vol 2 No 5 (2023): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v2i5.198

Abstract

Development in an area must pay attention to the socio-economic conditions of the community such as the level of education, health and economic facilities as well as other factors. The development of this region cannot be separated from the regional spatial planning, this is very necessary to realize a balanced development. Bogor Regency is one of the regencies whose development is currently quite developed, the increase in population causes a reduction in land with vegetation cover to become built-up areas, from the increase in built-up land it causes an increase in temperature in Bogor Regency. Conditions like this can cause temperatures in urban areas to be much higher than in villages due to vegetation factors. From this background, how to analyze the pattern of changes in surface temperature using the GIS web-based Google Earth Engine in the Ciseeng, Gunung Sindur, Kemang, Parung, Parungpanjang, Rancabungur and Rumpin Districts. Therefore it is necessary to analyze the pattern of changes in surface temperature using the GIS web-based Google Earth Engine in the Ciseeng, Gunung Sindur, Kemang, Parung, Parungpanjang, Rancabungur and Rumpin sub-districts and create an information system about mapping surface temperature change patterns using the GIS web-based Google Earth Engine. . The results showed that the average surface temperature reached 25?C, this analysis used the Google Earth Engine in order to find out temperature changes in the Ciseeng, Gunung Sindur, Kemang, Parung, Parungpanjang, Rancabungur and Rumpin sub-districts in 2002, 2008, 2014 and 2019. With that, it can be seen that the highest temperature level was in 2008 with a temperature of 34?C.
Keterkaitan Pengaruh Iklim Terhadap Angka Kejadian Tuberkulosis Berbasis Web Gis Manaf, Abdul; Hermawan, Erwin; Kamilah, Nurul
Jurnal Etnik: Ekonomi-Teknik Vol 2 No 5 (2023): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v2i5.199

Abstract

Management of pulmonary tuberculosis (TB) in Bogor City is still a priority in health care. The high number of TB cases in the Lawang Gintung Health Center area in the 2017-2019 period reached 126 new cases. Where the most new cases were in the Muarasari Village with a total of 52 new cases of TB. This research method uses the spatial interpolation method to determine the distribution of climate and its association with the incidence of new cases of pulmonary TB. Through the development of spatial interpolation GIS, it is known that the pattern of distribution of cases per month in the area of ??the Public Health Center in terms of the relationship between climate and the development of new cases of TB in the area of ??the Lawang Gintung public Health center. Incidence Rate in the region public Health center Lawang Gintung per month during 2017-2019 was highest in February with an IR value of 8.7 per 10,000 people/population. The increase in the IR value in each month is accompanied by an increase in the average value of rainfall (mm²), air temperature (°C), and humidity (%). Where in January the IR value was 2.2, increasing in February to 8.7 with an average rainfall value per month of January 15.4 mm² and in February it increased to 25.3 mm². Followed by increasing the value of air temperature and humidity. Correlation of climate to the incidence of new cases of pulmonary TB in the region public Health center Lawang Gintung is known that rainfall is positive with an R² value of 0.50. Air temperature is negative where R² is 0.01 and humidity is positive with R² value is 0.17.
Spatial Distribution Analysis of Land Use, Land Surface Temperature, and Temperature-Humidity Index in Bogor City in 2004, 2014, and 2024 Gustiawan, Ridho; Hermawan, Erwin; Kamilah, Nurul; Primasari, Dewi
Jurnal Penelitian Geografi Vol 13 No 2 (2025): Jurnal Penelitian Geografi (JPG)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpg.v13.i2.33610

Abstract

Rapid urbanization in Bogor City in 2004, 2014, and 2024 caused significant changes in land use, marked by an increase in built-up areas and a decrease in vegetation cover. These changes triggered an increase in Land Surface Temperature (LST) and Temperature Humidity Index (THI), which had an impact on heat stress, health disorders, and a decline in quality of life. This study analyzes the relationship between land use changes and LST and THI and develops an interactive web application for visualization. Land classification was performed using the Random Forest algorithm, LST was calculated from Landsat thermal bands (TM 2004, OLI/TIRS 2014 & 2024), and THI was based on Air Temperature (T(a)  )and Relative Humidity (RH). The results show that built-up land increased by 2,074 ha (from 4,371 ha to 6,445 ha), in line with an increase in average LST from 26.16°C to 27.13°C and THI from 24.30 to 24.90. In conclusion, the increase in built-up area contributed significantly to the rise in LST and THI, emphasizing the importance of sustainable spatial planning, such as optimizing green open spaces to maintain thermal comfort and quality of life.Keywords: 
Landslide Potential Detection Model Using rdNDVI and the GEE Platform in Leuwiliang District, Bogor Iqbal, Reyhan Hikmatul; Yanuarsyah, Iksal; Hermawan, Erwin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 19 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v19i2.8801

Abstract

Landslide is among the most frequent natural disasters in Indonesia, especially in regions characterized by steep slopes and high rainfall. This study analyzes the potential for landslides in Leuwiliang District, Bogor Regency, using the Relative Difference Normalized Difference Vegetation Index (rdNDVI) and the Google Earth Engine (GEE) platform. Sentinel-2A imagery with a 10-meter spatial resolution was used to calculate rdNDVI values from pre- and post-event periods (2020–2023). Slope data derived from Digital Elevation Models (DEM) were integrated to identify areas exceeding a 10% slope threshold, categorized as high-risk zones. The rdNDVI analysis revealed that Karehkel Village had the largest landslide-prone area (40.06 ha), while Leuwiliang Village had the smallest (20.88 ha). Validation using field survey data in 2025 showed an accuracy of 78% for a slope threshold of 10%. The resulting WebGIS system provides interactive visualization for disaster risk mapping and supports decision-making for local mitigation planning. The combination of rdNDVI and GEE demonstrates the potential of cloud-based remote sensing for rapid and scalable landslide detection. Future work should include additional parameters such as rainfall intensity and soil moisture to enhance prediction accuracy.
Assessment of Medical Record Documentation and SOAP Completeness in Outpatient Services at a Primary Health Facility Hermawan, Erwin; Erfira, Erfira
International Journal of Health and Pharmaceutical (IJHP) Vol. 6 No. 1 (2026): February 2026
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijhp.v6i1.507

Abstract

Medical records are essential for clinical decision-making, continuity of care, legal compliance, and accreditation. Despite their importance, incomplete documentation remains a significant challenge in primary health care, particularly in settings that rely on manual record-keeping. This study assessed the completeness of outpatient medical records at the general polyclinic of Klinik UIN Syarif Hidayatullah Jakarta and examined patterns in outpatient service utilisation, including patient demographics, insurance coverage, and referral trends. A mixed-methods design was employed, integrating quantitative analysis of 399 outpatient medical records from January to February 2024 with qualitative data from observations and interviews. The quantitative component evaluated the completeness of SOAP documentation, patient demographics, service utilisation, and referral rates. The qualitative component investigated workflow challenges, clinician perspectives, and factors influencing documentation quality. In January, 201 outpatient visits were recorded, and in February, 198 visits occurred. Each month, more than 64% of patients were female. BPJS beneficiaries accounted for 842% of all visits, indicating they were the predominant users of the service. Referrals increased from 21 in January to 41 in February, for a total of 62. SOAP documentation was largely complete in January but declined in February, with most omissions found in the Assessment and Objective sections. Fourteen incomplete SOAP components were identified over two months, with 12 occurring in February. Although service utilisation remained stable, documentation quality varied substantially. The frequent incompleteness of the Objective and Assessment components underscores the need for improved workflow organisation, enhanced clinician training, and the adoption of electronic medical records. Regular audits and standardisation of SOAP documentation are recommended to strengthen compliance and support accreditation.
IMPLEMENTASI METODE NORMALIZE DIFFERENCE DROUGHT INDEX (NDDI) TERHADAP PEMANTAUAN PRODUKTIVITAS PERTANIAN TANAMAN PADI (STUDI KASUS: KECAMATAN JONGGOL TAHUN 2019-2022) Rizky Awaludin Firdaus; Erwin Hermawan; Nurul Kamilah
INFOTECH journal Vol. 10 No. 1 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i1.9794

Abstract

Pentingnya sektor pertanian padi dalam perkembangan ekonomi tidak dapat diabaikan, mengingat bahwa padi menjadi sumber utama makanan bagi sebagian besar masyarakat di Indonesia. Padi merupakan salah satu komoditas dalam sektor tanaman pangan sebagai penghasil beras. Kecamatan Jonggol merupakan salah satu sentra produksi beras di Kabupaten Bogor yang beberapa tahun ini mengalami penurunan produktivitas. Salah satu faktor yang mempengaruhi hasil produksi padi adalah tingkat kekeringan lahan pertanian, serangan hama, penggunaan benih, kesuburan tanah, dan perubahan cuaca. Penelitian ini bertujuan untuk melihat hubungan antara nilai indeks kekeringan (NDDI) terhadap produktivitas padi di Kecamatan Jonggol. Penelitian ini menggunakan teknologi penginderaan jarak jauh melalui platfrom Google Earth Engine dengan memanfaatkan data citra satelit Sentinel-2A dari Tahun 2019-2022. Metode yang digunakan dalam penelitian ini adalah Normalize Difference Drogught Indeks (NDDI). Klasifikasi kekeringan dibagi menjadi lima klasifikasi, yaitu normal, kekeringan ringan, kekeringan sedang, kekeringan berat, dan kekeringan sangat berat. Berdasarkan Hasil analisis didapatkan nilai koefisien determinasi R2 sebesar 0,2627 atau 26,27% dan koefisien korelasi sebesar -0,513. Hal ini menandakan korelasi sedang antara NDDI dengan produktivitas, dimana semakin meningkatnya NDDI akan menurunkan hasil produktivitas padi. Output dari penelitian ini berupa informasi dearah mana saja yang terdampak oleh kekeringan dan terjadi penurunan produktivitas di Kecamatan Jonggol berbasis WebGIS
Co-Authors Aang Kuvaeni Aang Kuvaeni ABDUL MANAF Afifudin Rahman Agustian, Sahid AHMAD JUNAEDI Ahmad Zahid Alamsyah, Muhamad Alwi Andes Andes Andi Irawan Anisa Arlinda Putri Annisa Marliyani Arif K Wijayanto Bambang Riadi Budi Susetyo Budi Susetyo Budiharjo Budiharjo, Budiharjo Damanhuri, Nuri Abiyyah Damayanti, Intan Darwin Noviansyah Dewi Primasari Diah Adawiyah Dimas Mulya Saputra Disti Ayu Sadewa Dr. Budi Susetyo, Ir. , M. Sc Erfira, Erfira Evi Novianti Fahrezi, Muhamad Azmi Faisal Fakhri Anara Fauzia, Vynnie Firmansyah, Muhamad Geni Fitrah Satrya F.K Freza Riana Gibtha Fitri Laxmi Gustiawan, Ridho Hadjimartsu, Sahid Agustian Hafidz Hafidz Hakiki, Muhamad Rafi Haorah Haorah Hendriawan Nur, Wawan Iksal Yanuarsyah Iman Nugraha Setiady Imarananda Putri Imran Indarti Indarti`` Iqbal, Reyhan Hikmatul Irma Damayanti Islahiyah Islahiyah Ismamudi Ismamudi Janaqi M. F Kamali, Alviyan Badro Lestari, Nur Annisa Indah Luthfi Khoirun Nisa M Veruj Abdul Wadud Mahfudoh Tunisa Marimin , Maya Azzahra Miftahul B.R. Khamid Mova R Sianturi muhamad iqbal Muhammad Iqbal Muhammad Ramdhan Muhammad, Rizky Mustofa Al Mujahidin Nazar, Muarief Ahlun Noviansyah, Darwin Nurandi Rachim, Yusril Nurfajar Noviana Gumelar, Muhammad Nurhakim Ar Rafei, Fauza Nurul Kamilah Nurul Kamilah Nurul Karmilah Ocky . Purwantoro, Susilo Adi Puspa Eosina Putri, Monika Rafli Farhan, Muhamad Rahmatullah, Andhika Ramadhan, Alfarisi Ratu Yustika Rini Rena Rena Risky Ramdhani Hidayatullah Riyadi Syahardani Rizky Awaludin Firdaus Rizky Haerudin, Asep Rudi Hariyanto Sahid Agustian Hudjimartsu Sahid Agustian2 Santun R.P. Sitorus Satriyah Triyastati Shinta Damayanti Sinta Lestari Sinta Lestari, Sinta Siti Nurjanah Sultoni - Suria Darma Tarigan Trisna Mukti Wadud, M Veruj Abdul Wahyudi, Ikmal Waluyo Wanahad, Udin Wulandari, Berlina Yana Armanto, Devi Yayan Hadiyat Yeni Lasmawati