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All Journal VISIKES Elkom: Jurnal Elektronika dan Komputer Jurnal Transformatika JUSIFO : Jurnal Sistem Informasi Jurnal Informatika Upgris Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Sisfokom (Sistem Informasi dan Komputer) Journal of Dedicators Community Comvice : Journal of community service Jurnal Sistem Informasi Kaputama (JSIK) Journal of Technopreneurship and Information System (JTIS) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Berdaya Mandiri Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Community Empowerment Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Walisongo Journal of Information Technology Advance Sustainable Science, Engineering and Technology (ASSET) JAST GANESHA: Jurnal Pengabdian Masyarakat J-Intech (Journal of Information and Technology) Journal of Artificial Intelligence and Engineering Applications (JAIEA) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Adijaya Multidisiplin JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Penelitian Sistem Informasi JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Ilmiah Research Student Jurnal Sains Student Research Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan JURNAL ILMIAH PENELITIAN MAHASISWA Prosiding Seminar Nasional Unimus Scientific Journal of Informatics SWAGATI: Journal of Community Service E-Amal: Jurnal Pengabdian Kepada Masyarakat Router : Jurnal Teknik Informatika dan Terapan Modem : Jurnal Informatika dan Sains Teknologi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Router : Jurnal Teknik Informatika dan Terapan Journal of Information Technology Jurnal Informatika Jurnal Pendidikan dan Keguruan Jurnal Salome (Multidisipliner Keilmuan)
Bambang Agus Herlambang, Bambang
Universitas PGRI Semarang, Indonesia
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Pemberdayaan Guru Gugus Gajah Mada Bandar Kabupatem Batang Dalam Implementasi Aplikasi Cegah Kekerasan Seksual Berbasis Kearifan Lokal (CEKSALOKA) : Penelitian Senowarsito; Yuli Kurniati Werdiningsih; Bambang Agus Herlambang
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3799

Abstract

Cases of sexual violence against children occurred successively in Batang Regency, including Bandar District. The incidence of this case is considered quite high, reaching 17 victims. Therefore, Empowering Community Partnership (PKM) program is urgent to be implemented immediately. This program is an activity carried out to improve social conditions in the target area. The aim of PKM is to implement the Local Wisdom-Based Sexual Violence Prevention Application (CEKSALOKA) at the schools in the area of KKG (Teacher Working Group) of Gugus Gajah Mada in Batang Regency in order to create an environment free of sexual violence against children. PKM partners are all schools and teachers at the KKG Gugus Gajah Mada in Bandar District, Batang Regency, which consists of 8 Public Elementary Schools in the neighborhood.
Analisis Sentimen Review Pelanggan Lazada dengan Sastrawi Stemmer dan SVM-PSO untuk Memahami Respon Pengguna Abdun Nafi'; Aris Trijaka Harjanta; Bambang Agus Herlambang; Saeful Fahmi
J-INTECH ( Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1450

Abstract

In the digital era, sentiment analysis plays a strategic role in understanding customer perceptions of products and services. This research aims to analyze customer review sentiment on the Lazada platform through the application of text processing techniques and machine learning algorithms. Data is taken from product reviews on the platform, which then undergoes a preprocessing stage, including tokenization, stopword removal, and stemming using the Sastrawi algorithm. Next, sentiment classification was performed using a Support Vector Machine optimized through the Particle Swarm Optimization (PSO) method. The research results showed that the combination of the Sastrawi stemmer method and SVM-PSO was able to achieve significant accuracy, namely 90.57%, an increase of 6.24% compared to previous research. These findings provide deep insights into customer perceptions and offer valuable guidance for decision-makers at Lazada in improving service quality and customer satisfaction. This study also underscores the importance of applying Natural Language Processing techniques and machine learning algorithms in sentiment analysis on e-commerce platforms, which have proven to produce more accurate outputs.
PENGEMBANGAN DAN PELATIHAN SIPsiMas (SISTEM INFORMASI PELAYANAN ADMINISTRASI MASYARAKAT) DI KECAMATAN SIDOMUKTI SALATIGA Purwati, Heni; Wiyaka; Arisul Ulumuddin; Bambang Agus Herlambang; Rizky Esti Utami
Jurnal Berdaya Mandiri Vol. 7 No. 3 (2025): JURNAL BERDAYA MANDIRI (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbm.v7i3.8640

Abstract

Population administration and correspondence services at the village and sub-district levels often present obstacles for the community, especially since they must come directly to the office to handle various needs. In an effort to overcome this problem, the community service team sought to develop sipsidomukti on SIPsiMas (Community Administration Service Information System), which is a digital-based system that allows to community of Sidomukti sub-district, Salatiga City, to process documents online. The program aims to improve the efficiency of administrative services, reduce queues at village and sub-district offices, and provide easy access for the community without time and place restrictions. The system development is carried out using web-based technology and mobile applications that allow residents to submit, monitor, and print documents independently. The program implementation methods include: needs analysis, design and development, outreach and training, and evaluation and improvement. With the existence of sipsidomukti in SIPsiMas, administrative services in Sidomukti sub-district have become faster, more transparent, and more efficient, increasing public satisfaction with public services. Keywords: SIPsiMas, public service, digitalization, administration, Sidomukti District
Ultra-Low-Cost Hybrid OCR–LLM Architecture for Production Grade E-KTP Extraction Saputro, Anjar Tiyo; Herlambang, Bambang Agus; Novita, Mega
Scientific Journal of Informatics Vol. 12 No. 4: November 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i4.38200

Abstract

Purpose: The purpose of this study is to be able to avoid limitations of inexpensive ID card data extraction services and preserve privacy, which can simultaneously achieve reliable operation even under an environment with minimum infrastructure, in particular if no dependency on GPU-based servers are required. Method: The proposed approach is a microservice pipeline with three stages: (1) local lightweight pre-processing on devices, (2) Tesseract CPU-based OCR. js, (3) fast text tokenization through a small premature external LLM. The system is developed as TypeScript backend utilizing the Hono framework with all image processing taking place locally in order to keeping user data private. Result: The result of the experimental evaluations with real ID card samples is that the system can run stably in low-performance VPS (1 vCPU, 1 GB RAM) with operation cost approximately IDR 2.5047 per extraction process and its accuracy level is acceptable for use in a production environment. Moreover, the results indicate that system latency is dominated by LLM inference at the cloud. Novelty: The main contribution and novelty of this study is that we demonstrate, for the first time, a cost-effective (privacy-preserving) OCR-LLM hybrid pipeline without demanding expensive GPU models at large scale which makes our system suitable under limited storage and resource constraints on-premises or edge environments in small organizations including micro-SaaS services.
Visualisasi Dan Analisis Perubahan Tingkat Kemiskinan Kabupaten/Kota Jawa Tengah 2021–2025 Berbasis WEB Adam Alfareza; Bambang Agus Herlambang; Ahmad Khoirul Anam
Jurnal Adijaya Multidisplin Vol 3 No 06 (2026): Jurnal Adijaya Multidisiplin (JAM)
Publisher : PT Naureen Digital Education

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

Abstract

Kemiskinan merupakan permasalahan sosial yang masih menjadi perhatian dalam pembangunan daerah, khususnya di Provinsi Jawa Tengah yang memiliki kondisi sosial ekonomi dan karakteristik wilayah yang beragam. Penelitian ini bertujuan untuk memvisualisasikan dan menganalisis perubahan tingkat kemiskinan kabupaten/kota di Provinsi Jawa Tengah pada periode 2021–2025 berbasis Web Geographic Information System (Web GIS). Data penelitian bersumber dari Badan Pusat Statistik (BPS) yang meliputi jumlah penduduk, jumlah penduduk miskin, persentase penduduk miskin, Tingkat Pengangguran Terbuka (TPT), dan Indeks Pembangunan Manusia (IPM). Data spasial berupa peta administrasi kabupaten/kota diolah menggunakan perangkat lunak QGIS dengan mengintegrasikan data atribut dan spasial untuk menghasilkan peta tematik tahunan. Peta kemudian diekspor menggunakan plugin qgis2web dan dikembangkan menjadi sebuah website yang menampilkan peta interaktif serta analisis perubahan tingkat kemiskinan. Hasil penelitian menunjukkan adanya perbedaan dan dinamika tingkat kemiskinan antar wilayah. Web GIS yang dihasilkan dapat dimanfaatkan sebagai media pendukung analisis dan pengambilan keputusan pembangunan daerah.
Sistem Informasi Geografis Pemetaan Banjir di Provinsi Jawa Tengah Tahun 2019-2021 Subhan, Ahmad; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.718

Abstract

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.
Sistem Informasi Geografis (SIG) Persebaran Penduduk Kabupaten Demak Tahun 2025 Berbasis WebGIS David Rian Prabowo; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.727

Abstract

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.  
Sistem Informasi Geografis Pemetaan Banjir di Provinsi Jawa Tengah Tahun 2019-2021 Subhan, Ahmad; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.718

Abstract

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.
Sistem Informasi Geografis (SIG) Persebaran Penduduk Kabupaten Demak Tahun 2025 Berbasis WebGIS David Rian Prabowo; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.727

Abstract

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.  
Sistem Informasi Geografis Pemetaan Pondok Pesantren Di Kabupaten Kendal Tahun 2023-2024 Hanum Nahla Zahrani; Bambang Agus Herlambang; Ahmad Khoirul Anam
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.8109

Abstract

Islamic boarding schools (pesantren) are one of the rapidly growing Islamic educational institutions in Kendal Regency. This study aims to analyze how Islamic boarding schools are distributed in Kendal Regency from 2023 to 2024 using a Geographic Information System (GIS). This study uses a comparative descriptive method with data consisting of spatial data in the form of sub-district administrative maps and non-spatial data covering the number of Islamic boarding schools, students, and teachers. The non-spatial data comes from the Central Statistics Agency (BPS) of Kendal Regency. To process the data, the QGIS application is used. Spatial and non-spatial data are combined in the attribute merging process, then converted into a thematic map. The results show a decrease in the number of Islamic boarding schools from 147 in 2023 to 118 in 2024, as well as an uneven decrease in the number of students and teachers in each sub-district. The resulting thematic map is able to clearly and informatively show differences in the distribution of Islamic boarding schools.
Co-Authors Aan Kia Asshifa Aan Kia Asshifa Abda Abda Abdun Nafi' Adam Alfareza Aditya Galih Prathama Adrianto, Syahrul Agesti, Okta Vian Ahmad Khoerul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Subhan Ainia Hasna Salsabila Aldi Widodo Anam, Ahmad Khoirul Angga agustino maulana Ardianti Romsita Ari Tri Jaka Harjanta Arif Firmansyah Arifin Arifin Aris Tri Jaka Harjanta, Aris Tri Aris Tri Joko Harjanto Aris Trijaka Harjanta Arisul Ulumuddin Armanda Yasir Danuarsa Aurellia Callista Dewi Baharudin alamsyah Bakhtiar, Tegar Robi Baromim Triwijaya Bima, Bima Aditya Hendriansyah Chairunnita Chairunnita Danu Candra Saputra David Rian Prabowo Desi Purwaningsih Dimas Aditya Saputra Duwi Nuvitalia Dwi Nuvitalia Dyah Nugrahani Dzulfiqar Alang Setiawan Eka Setyabudi Eni Imro’atun Wahyu Septiani Ernawati Saptaningrum Farhan Afrian Fatmawati, Maylia Febrian Murti Dewanto Fitri Sari , Rindhi Fitri Yulianti Galih Hermawan Hanum Nahla Zahrani Hanun Ravi Putra Wardana Hanun Ravi Putra Wardana Hapsari Larasati Harjanto, Aris Tri Joko Haryo Kusumo Hayyannabil, Adha Wiyan Heni Purwati Indradewi, Marlisa Irfan Maiyola Khoiriya Latifa khoiriya latifah Khoiriya Latifah, Khoiriya KHOIRUL ANAM Khoirul anam Khoirul Anam, Ahmad Kikit Wahyuni Kusumo, Haryo Laela Rustiani Laras Wulansari Latif Junia Angreani M Abdul Muhshi Marlina, Dian Mega Novita Mega Novita Mega Novita Miftakhul Jannah Moh Ferdio Arifianto Saputro Moh Zaenal Fanani MUHAMAD RAIKHAN ILHAM FIRMANSYAH Muhammad Rizki Kurniawan, Muhammad Rizki Muhammad Saifuddin Zuhri Muhammad Saifuddin Zuhri Muhammad Vendi Nur Rohim Muhtarom Mutiara Salsabila Nafi', Abdun Naila Amelia Shahada Najwa Mahdewi Syahita Nicko Ilham Akbar Nida Hanifah Nilna Rusyda Widyaningsih Nityasa Tustika Noora Q. N Noora Qotrun Nada, Noora Qotrun Nugroho Dwi Saputro Puji Ratna Sari Qodimah, Fitrotul Ramadhan Renaldy Renaldy, Ramadhan Reza aditya pratama Rima Febryani Rizky Esti Utami, Rizky Esti Rizqa Zahrotun Nafiah Rizqi pasha eko adi prabowo S Sumarno Saeful Fahmi Saeful Fahmi, Saeful Safira Indah Utami Saputro, Anjar Tiyo Senowarsito Septiani Eka Retnosari Septio Oggy Pradana Setyoningsih Wibowo Shentika Ayu Wulandari Siti Musarokah Sunarya Sunarya Syahrul Adrianto Tarisa Ramadhani Tedy Firmansyah Vilda Ana Veria Setyawati Vilda Ana Veria Setyawati Vilda Ana Veria Setyawati Vilda Ana Veria Setyawati Vilda Ana Veria, S.Gz, M.Gizi Vivi Ferliana Putri Waliyansyah, Rahmat Robi Widodo, Aldi Widya Aprilia Wiyaka Wulan Agustina Wulandari, Shentika Ayu Yudha Ananda Ramadhan Yuli Kurniati Werdiningsih Yuli Kurniati Werdiningsih, Yuli Kurniati Yusuf Ma'iin Rohmatulloh