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All Journal VISIKES Elkom: Jurnal Elektronika dan Komputer Jurnal Transformatika JUSIFO : Jurnal Sistem Informasi Jurnal Informatika Upgris E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Dedicators Community Jiko (Jurnal Informatika dan komputer) 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) Jurnal Teknik Informatika (JUTIF) 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 International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) J-Intech (Journal of Information and Technology) Buletin Sistem Informasi dan Teknologi Islam Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Teknik Mesin, Industri, Elektro dan Informatika 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 Nusantara Journal of Multidisciplinary Science 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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Optimizing Support Vector Machine (SVM) for Sentiment Analysis of Blu by BCA Reviews with Chi-Square Widodo, Aldi; Herlambang, Bambang Agus; Renaldy, Ramadhan
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10541

Abstract

One of the products resulting from the development of financial technology is the blu by BCA application. This app can be downloaded by BCA bank users via the Google Play Store and has received various user responses in the form of reviews. Analyzing these user reviews can serve as a valuable reference for further development and decision-making by BCA regarding the blu app. Sentiment analysis is conducted using the Support Vector Machine (SVM) algorithm, with SMOTE and TF-IDF techniques, and feature selection via Chi-Square. Sentiment classification using the SVM algorithm and feature selection has produced various outcomes in previous studies. Therefore, further research is necessary to analyze reviews of the blu application. This study aims to optimize the SVM method in analyzing user sentiment on the blu by BCA application by applying Chi-Square feature selection to improve sentiment classification performance. The research method includes the following stages: scraping, preprocessing, labeling, TF-IDF transformation, Chi-Square feature selection, SMOTE, data splitting, data mining, and evaluation. The testing results show that the RBF kernel achieved the highest performance with an accuracy of 0.8623, precision of 0.8623, recall of 0.8623, and F1-score of 0.8623. After applying Chi-Square feature selection, the accuracy improved to 0.8726, with precision of 0.8747, recall of 0.8725, and F1-score of 0.8723. This optimization successfully increased the accuracy by 0.0103 or 1.03%, while also improving precision, recall, and F1-score, indicating that feature selection contributes significantly to sentiment classification performance.
SISTEM INFORMASI GEOGRAFIS TINDAK KRIMINAL DI JAWA TENGAH TAHUN 2019 – 2021 Danu Candra Saputra; Bambang Agus Herlambang; Ahmad Khoirul Anam
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 1 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/scientica.v2i1.850

Abstract

Kriminalitas adalah masalah umum yang dihadapi oleh semua daerah. Banyak kejahatan terjadi pada waktu dan lokasi yang berbeda, sehingga sulit untuk menentukan wilayah mana yang berisiko tinggi terjadinya kejahatan. Kejahatan bukan hanya tanggung jawab polisi saja, tapi semua kalangan masyarakat. Dengan memetakan daerah rawan kriminal, kita dapat memahami di mana saja suatu kejahatan sering terjadi. Artikel ini membahas tentang pembuatan website Sistem Informasi Geografis (SIG) tindak kriminal di Jawa Tengah selama tahun 2019 hingga 2021. Setiap tindakan kriminal yang bersifat umum ditampilkan di kota atau kabupaten daerah tersebut. Dengan menggunakan data dari BPS Provinsi Jawa Tengah dan Polres setempat, penelitian ini mencoba untuk memahami pola dan tren tindak kriminal di wilayah tersebut. Hasilnya diharapkan dapat membantu pihak berwenang dalam merencanakan dan mengimplementasikan strategi pencegahan dan penanggulangan kejahatan yang lebih efektif. Penggunaan teknologi seperti gawai dan komputer memudahkan masyarakat untuk mencari informasi apapun dengan sangat cepat termasuk mencari info geografis tindak kriminal. Selain itu, sistem ini juga dapat menjadi alat yang berguna bagi masyarakat untuk meningkatkan kesadaran mereka tentang keamanan lingkungan mereka. Dengan memiliki akses ke informasi ini, masyarakat dapat membuat keputusan yang lebih baik tentang keamanan pribadi dan komunitas mereka. Selain itu, sistem ini juga dapat membantu pemerintah dan organisasi non-pemerintah dalam mengalokasikan sumber daya dengan lebih efisien untuk mencegah dan menanggulangi kejahatan. Dengan demikian, sistem ini tidak hanya berfungsi sebagai alat informasi, tetapi juga sebagai alat pencegahan dan penanggulangan kejahatan.
Analisis Upaya Pemerintah Terhadap Tingkat Kemiskinan di Jawa Tengah Tahun 2020-2022 Armanda Yasir Danuarsa; Bambang Agus Herlambang; Ahmad Khoirul Anam
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 1 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/scientica.v2i1.851

Abstract

Penelitian ini bertujuan untuk mengetahui dan mengeksplorasi upaya pemerintah Jawa Tengah terhadap kemiskinan. Kemiskinan di Jawa Tengah pada tahun 2020 sampai 2022 masih sangat banyak, dalam hal ini pemerintah seharusnya dapat membuat Upaya baru dalam menghadapi kemiskinan tersebut. Analisis dampak menunjukkan adanya peningkatan akses masyarakat terhadap layanan kesehatan dan pendidikan, namun juga menyoroti perlunya peningkatan koordinasi antarinstansi untuk meningkatkan efisiensi dan efektivitas program-program penanggulangan kemiskinan..Hasil penelitian menunjukkan bahwa terdapat variabel yang berpengaruh signifikan terhadap angka kemiskinan. Berdasarkan data Badan Pusat Statistik (BPS), tingkat kemiskinan dipengaruhi oleh faktor pendidikan (angka putus sekolah), ekonomi (angka pengangguran), lokasi (jarak tempat tinggal ke pusat kota), dan Indeks Pembangunan Manusia (IPM). Dengan menyoroti variabel ini, penelitian ini memberikan landasan untuk rekomendasi kebijakan. Pemerintah perlu fokus pada peningkatan akses pendidikan, menciptakan peluang ekonomi baru untuk mengurangi pengangguran, serta mengevaluasi distribusi sumber daya dan pembangunan di wilayah Jawa Tengah. Meskipun demikian, masih terdapat tantangan seperti ketidakmerataan distribusi program dan ketidaksesuaian antara kebijakan dengan kebutuhan riil masyarakat..Dengan demikian, upaya pemerintah dapat lebih terarah dan efektif dalam mengatasi permasalahan kemiskinan yang masih menjadi tantangan serius di daerah ini. Penelitian ini memberikan kontribusi bagi pemahaman tentang kebijakan pemerintah dalam mengatasi kemiskinan di tingkat lokal, dengan memberikan rekomendasi untuk perbaikan lebih lanjut.
Implementation of a Bullying and Violence Prevention Application as a Reinforcement of a Child-Friendly School at SMP PGRI 1 Semarang: Implementasi Aplikasi Pencegahan Bullying dan Kekerasan sebagai Penguat Sekolah Ramah Anak di SMP PGRI 1 Semarang Senowarsito, Senowarsito; Werdiningsih, Yuli Kurniati; Herlambang, Bambang Agus; Indradewi, Marlisa
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 5 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i5.16051

Abstract

This community service activity aims to implement a bullying and violence prevention application in a partner school to create a Child-Friendly School (CFS). The main issue identified is the lack of shared perception and commitment among school personnel, students, and parents regarding the concept of bullying. The methods used include socialization, training, mentoring, as well as monitoring and evaluation. The results of the activity show an increase in understanding and commitment of all parties in preventing bullying, as well as the formation of a more effective prevention mechanism. The importance of these results is to build a safe and comfortable school environment for all students, and ultimately to achieve the vision of child-friendly education in Semarang City
Mapping Exclusive Breastfeeding Coverage And Toddler Stunting Prevalence In Indonesia Based On Web Geographic Information System Setyawati, Vilda Ana Veria; Herlambang, Bambang Agus
Advance Sustainable Science, Engineering and Technology Vol 2, No 2 (2020): May-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v2i2.6791

Abstract

Stunting is a chronic nutritional problem  in most of developing countries for quite a long time, including Indonesia. In 2018, Indonesia had 30.8% of stunting toddlers, 29.6% in 2017 and 27.54% in 2016. The trend over the last 3 years the prevalence of stunting has increased. The purpose of this research is to map the spread of stunting toddlers and exclusive breast milk coverage in Indonesia. This research is a cross sectional study using secondary data sourced from reporting compiled by the Ministry of Health of the Republic of Indonesia in 2018. WebGIS is used to compile mappings of both variables in each province through the official website of BPS. The results of this study show the information presented in WebGis seen most provinces have a prevalence of stunting in black zones (very high) and exclusive breast milk coverage in red zones (very less met than national targets).
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 Universitas Bhinneka Nusantara

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
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.  
Co-Authors Aan Kia Asshifa Abdun Nafi' Adam Alfareza Adisti Khairunnisa N 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 Ainia Hasna Salsabila Aldi Widodo Alwia Ilham Mustofa Anam, Ahmad Khoirul Andriyani, Elvia 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 Beltsazar Ariel Putra Bima, Bima Aditya Hendriansyah Chairunnita Chairunnita Choirunnisa Choirunnisa Danu Candra Saputra Danu Candra Saputra David Rian Prabowo Desi Purwaningsih Dian Fitria Maharani Dian Puspitasari Dimas Aditya Saputra Duwi Nuvitalia Dwi Nuvitalia Dyah Nugrahani Dzulfiqar Alang Setiawan Eka Setyabudi Eni Imro’atun Wahyu Septiani Ernawati Saptaningrum Evan Averill Andika Farhan Afrian Fatmawati, Maylia Febrian Murti Dewanto Fitrada Kurnialdi Assrofi Ulla 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 Ifta Dila Salsabila Indradewi, Marlisa Irfan Maiyola Irkham Ulil Albab Khoiriya Latifa khoiriya latifah Khoiriya Latifah, Khoiriya KHOIRUL ANAM Khoirul anam Khoirul Anam, Ahmad Kikit Wahyuni Kurniawan Satrio Abdi Kusumo, Haryo Laela Rustiani Laily Ratna Agustina Laras Wulansari Lathifa, Khoiriya Latif Junia Angreani 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 Nada, Noora Qotrun Nugroho Dwi Saputro Nur Latifah Dwi Mutiara Sari pratama, saeful diyan Puji Ratna Sari Qodimah, Fitrotul Ramadhan Renaldy Rehan Angger Pradata 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 Senowarsito Septiani Eka Retnosari Septio Oggy Pradana Setyoningsih Wibowo Setyoningsih Wibowo Shentika Ayu Wulandari Siti Musarokah Sunarya Sunarya Sutrisno, Sutrisno Syahrul Adrianto Tarisa Ramadhani Tedy Firmansyah 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 Yanuar Hery Murtianto Yudha Ananda Ramadhan Yuli Kurniati Werdiningsih Yuli Kurniati Werdiningsih, Yuli Kurniati Yusuf Ma'iin Rohmatulloh