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All Journal VISIKES Elkom: Jurnal Elektronika dan Komputer Jurnal Transformatika JUSIFO : Jurnal Sistem Informasi Jurnal Informatika Upgris JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat 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) ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Teknik Informatika dan Komunikasi JEBIMAN: Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi Jurnal Salome: Multidisipliner Keilmuan JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Penelitian Sistem Informasi Jurnal Administrasi Negara JK Jurnal Kesehatan JIP: Jurnal Ilmu Pendidikan HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Komunikasi 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 SWAGATI: Journal of Community Service E-Amal: Jurnal Pengabdian Kepada Masyarakat Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Journal of Information Technology
Bambang Agus Herlambang, Bambang
Universitas PGRI Semarang, Indonesia
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Geographic Information System for Mapping the Area and Coconut Production in Kendal Regency Aan Kia Asshifa; Bambang Agus Herlambang; Ahmad Khoirul Anam
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.838

Abstract

Coconut fruit holds high economic value as it can be utilized for various products and significantly contributes to the local economy. This research aims to develop a Geographic Information System (GIS) to map land area and coconut production in Kendal Regency in 2023 as a foundation for more efficient resource management. By integrating spatial and non-spatial data from the Central Statistics Agency (BPS), this GIS visualizes the spatial distribution of coconut plantations and identifies production variations among sub-districts. The analysis reveals that Patebon Sub-district has the highest coconut production, while Cepiring Sub-district, despite having the largest land area, records relatively low production. Mapping was conducted using Quantum GIS (QGIS) software, allowing for accurate and efficient data digitization. This GIS output holds significant potential to support spatial planning, data-driven policy formulation, and the improvement of coconut farmers' welfare in Kendal Regency. The implementation of the map on a web-based platform facilitates public access to the presented spatial information.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI GEOGRAFIS PEMETAAN PENGGUNA NARKOTIKA DI WILAYAH PULAU JAWA PASCA PANDEMI Bambang Agus Herlambang; Ainia Hasna Salsabila
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 3 No 1 (2025): Februari
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v3i`1.753

Abstract

The COVID-19 pandemic has had a significant impact on various aspects of life, including an increase in cases of drug abuse. This research aims to design a Geographic Information System (GIS) that is capable of accurately and visually mapping the distribution of drug users in the Java Island region after the pandemic. It is hoped that this GIS can become a tool for policy makers, law enforcers and other related parties in efforts to prevent and overcome drug problems. The methods used in this research include collecting non-spatial data analysis and spatial data analysis, as well as designing a web-based system. The data used includes demographic data as well as data on drug abuse cases. Spatial analysis was carried out to identify distribution patterns of drug users and the factors that influence them. The results of this research are a web-based information system that is capable of displaying interactive maps of the distribution of drug users, as well as providing various spatial analysis features It is hoped that this GIS can make a significant contribution in efforts to reduce the number of drug abuse on the island of Java by providing accurate and up-to-date information regarding the situation in the field.
Analisis Persebaran Pasien Rehabilitasi Narkoba di Jawa Tengah pada Tahun 2023-2024 Bambang Agus Herlambang; Safira Indah Utami
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 3 No 1 (2025): Februari
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v3i`1.754

Abstract

This study aims to analyze the distribution of drug rehabilitation patients in Central Java during 2023 to 2024. The data used is secondary data obtained from various rehabilitation institutions and related health agencies. Geographic distribution mapping was conducted to identify the distribution pattern of patients based on factors such as geographic location, age, gender, and type of drug used. The results showed a significant variation in the distribution of patients, which can be the basis for developing more effective and targeted rehabilitation policies.
Sistem Informasi Geografis Pemetaan Jumlah Usaha Mikro Kecil Menengah (UMKM) di Kota Semarang Mutiara Salsabila; Bambang Agus Herlambang; Ahmad Khoirul Anam
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 3 No. 2 (2025): April
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v3i2.1100

Abstract

Usaha Mikro Kecil Menengah (UMKM) adalah usaha produktif yang dimiliki perorangan maupun badan usaha yang telah memenuhi kriteria sebagai usaha mikro. Kota Semarang merupakan kota terbesar ke-5 di Indonesia. Berkembangnya usaha di kota besar membuat para masyarakat berlomba-lomba membuat inovasi dalam industrif kreatif saat ini. Kekuatan ekonomi kerakyatan yang menopang perekonomian masyarakat, membuat pemerintah bergerak membantu untuk mewujudkan kesejahteraan masyarakat.
Pengenalan Gestur Bahasa Isyarat Indonesia dengan Mediapipe Keypoints Dewanto, Febrian Murti; Harjanta, Aris Tri Jaka; Nada, Noora Qotrun; Herlambang, Bambang Agus
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 2 (2024): September
Publisher : Universitas Wahid Hasyim

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

Abstract

Difficulty in communication is an obstacle for deaf friends who cannot learn the language orally or acquire normal speech skills. The development of sign language gesture recognition technology is an important step to improve accessibility and social integration for the deaf community. The use of MediaPipe Holistic Keypoints and deep learning techniques provides significant potential in recognizing and understanding sign language gestures. The main objective of this study is to classify Indonesian Sign Language (BISINDO) gestures using MediaPipe Holistic Keypoints and a deep learning approach to identify basic words in sign language. By extracting features using mediapipe holistic and sending them to the LSTM 6 hidden layer model with 70:30 split train test and 250 epochs, an accuracy of 68% was produced. This is due to the limited number of datasets taken for the study.
Analisis Sentimen Review Pelanggan Lazada dengan Sastrawi Stemmer dan SVM-PSO untuk Memahami Respon Pengguna Nafi', Abdun; Harjanta, Aris Trijaka; Herlambang, Bambang Agus; Fahmi, Saeful
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.
PKM PEMANFAATAN LIMBAH ANORGANIK UNTUK ALAT DESTILASI SEDERHANA Novita, Mega; Dewanto, Febrian Murti; Harjanta, Aris Trijaka; Herlambang, Bambang Agus; Marlina, Dian; Purwaningsih, Desi; Kusumo, Haryo
SWAGATI : Journal of Community Service Vol. 1 No. 1 (2023): March
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2023v1i1.1030

Abstract

Sampai saat ini, Indonesia masih kesulitan menangani persoalan sampah. Oleh karena itu, perlu dilakukan perubahan paradigma yang memandang sampah sebagai sumber daya yang memiliki nilai ekonomis dan dapat dimanfaatkan. Kkhususnya limbah anorganik seperti kaleng dan plastik banyak dimanfaatkan untuk pembuatan kriya logam, campuran beton, bahan pembuatan MMC (Metal Matrix Composites) dan bahan dasar koagulan. Untuk mendukung warga Desa Doplang meningkatkan nilai jual komoditi bunga sedap malam, Teknologi Tepat Guna (TTG) alat destilasi/ penyulingan sederhana dari limbah anorganik dibuat. Metode yang digunakan adalah dengan pendekatan community development, empowerment dan community engagement. Setelah melakukan perijinan ke mitra, sosialisasi tentang potensi limbah anorganik dan pelatihan pembuatan alat destilasi sederhana dilakukan. Alat destilasi sederhana berhasil dibuat dengan memanfaatkan limbah organik. Dari kegiatan ini, warga Desa Doplang diharapkan mampu mengekstrak minyak atsiri bunga sedap malam menjadi produk turunannya.
Implementasi h-CFTM (hybrid-Child Friendly Teaching Model) sebagai Penguat Merdeka Belajar Siswa SMP N 14 Semarang Senowarsito, Senowarsito; Nugrahani, Dyah; Herlambang, Bambang Agus; Musarokah, Siti; Werdiningsih, Yuli Kurniati; Yulianti, Fitri
Journal of Dedicators Community Vol 9, No 1 (2025)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdc.v9i1.3723

Abstract

This article with the title The Implementation of h-CFTM (hybrid-Child Friendly Teaching Model) as a Reinforcement for Independent Learning for Students at SMP Negeri 14 Semarang is the outcomes of Program Kemitraan Masyarakat (PKM) for SMP Negeri 14 Semarang in applying of h-CFTM (Hybrid-Child Friendly Teaching Model) as Strengthening Implementation Independent Student Learning. Partner in this PKM activity was SMP Negeri 14 Semarang, which is one of the Child Friendly Schools in Semarang City. The purpose of this writing is to clarify the outcomes of PKM, particularly those related to the implementation of h-CFTM at SMP Negeri 14 Semarang. PKM implementation methods included socialization, training, science and technology transfer, mentoring, monitoring, evaluation, and sustainability (follow-up). The common perception and commitment of the entire academic community in partner school, the implementation of the h-CFTM, as well as h-CFTM-Based Learning Management System are the outcomes of PKM (Hybrid-Child Friendly Teaching Model).
Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm Adrianto, Syahrul; Agus Herlambang, Bambang; Renaldy, Ramadhan
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9358

Abstract

Good, accurate and secure data management is certainly one of the main needs for companies that provide public services. This research aims to develop a web application-based information system to manage customer water meter data at a regional water company in Semarang. This system was built using the RESTful API architecture using the PHP programming language framework, namely Laravel and the development of web page displays using the Javascripts framework. The data used is the original database managed by the company every month which is managed using a database management system by meter reader officers. To increase the security of customer data, a cryptographic algorithm is used, namely the Advanced Encryption Standard (AES) algorithm with a 256-bit key length to secure data that is considered sensitive and contains high privacy. This system is intended for meter readers to update customer water meter data per month in an efficient and structured manner. This research uses a Research and Development (R&D) based software development method with system testing using black-box testing method to ensure application functionality and data exposure testing method to ensure data security in the database. The test results show that the system successfully manages customer water meter data in realtime per data sent and secures customer data.
Implementasi Algoritma Linear Congruent Method Pada Pengacakan Soal Kuis dalam Aplikasi Mobile Learning Anemia Berbasis Android (MobiliA) Herlambang, Bambang Agus; Wibowo, Setyoningsih; Choirunnisa, Choirunnisa; Setyawati, Vilda Ana Veria
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2382

Abstract

Anemia is a lack of blood condition with reduction in hemoglobin as one of indicator.  According to data from the Basic Health Research in 2013, the prevalence of anemia sufferers in Indonesia was high at 37.1%. The figure was almost close to severe public health problems with an anemia prevalence limit of more than 40%. However, this was not accompanied by low public knowledge about anemia.Therefore, researcher created an anemia mobile learning application based on android to increase people knowledge about anemia in everytime.There were quizzes randomly issued using the Linear Congruent Method algorithm. Linear Congruent Method algorithm, which was an algorithm that produced random permutations from a finite set. Testing Linear Congruent Method (LCM) algorithm was able to produce an effective randomization problem, where there was no repetition of the same value if the value of the declared variable meets the determination parameters of the existing LCM Algorithm i.e. the increment value and modulus must be relatively prime.  
Co-Authors Aan Kia Asshifa Abdun Nafi' 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 Ainia Hasna Salsabila Aldi Widodo Anam, Ahmad Khoirul Angga agustino maulana Ardianti Romsita Ari Tri Jaka Harjanta Arif Firmansyah Aris Tri Jaka Harjanta, Aris Tri Aris Trijaka Harjanta Armanda Yasir Danuarsa Baharudin alamsyah Bakhtiar, Tegar Robi Baromim Triwijaya Bima, Bima Aditya Hendriansyah Chairunnita Chairunnita Choirunnisa Choirunnisa, Choirunnisa Danu Candra Saputra Desi Purwaningsih Dimas Aditya Saputra Duwi Nuvitalia Dwi Nuvitalia Dyah Nugrahani Eka Setyabudi Eni Imro’atun Wahyu Septiani Ernawati Saptaningrum Farhan Afrian Fatmawati, Maylia Febrian Murti Dewanto Fitri Sari , Rindhi Fitri Yulianti Galih Hermawan Hanun Ravi Putra Wardana Hapsari Larasati Harjanto, Aris Tri Joko Haryo Kusumo Hayyannabil, Adha Wiyan Indradewi, Marlisa Irfan Maiyola Khoiriya Latifa khoiriya latifah Khoiriya Latifah, Khoiriya Khoirul anam KHOIRUL ANAM Khoirul Anam, Ahmad Kusumo, Haryo Marlina, Dian Mega Novita Mega Novita Mega Novita Miftakhul Jannah Moh Ferdio Arifianto Saputro MUHAMAD RAIKHAN ILHAM FIRMANSYAH Muhammad Rizki Kurniawan, Muhammad Rizki Muhammad Saifuddin Zuhri Muhammad Saifuddin Zuhri Muhammad Vendi Nur Rohim Muhtarom Mutiara Salsabila Nafi', Abdun Nicko Ilham Akbar Nilna Rusyda Widyaningsih Nityasa Tustika Noora Q. N Noora Qotrun Nada, Noora Qotrun Nugroho Dwi Saputro Puji Ratna Sari Qodimah, Fitrotul Renaldy, Ramadhan Reza aditya pratama 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 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 Wulan Agustina Wulandari, Shentika Ayu Yudha Ananda Ramadhan Yuli Kurniati Werdiningsih Yuli Kurniati Werdiningsih, Yuli Kurniati Yusuf Ma'iin Rohmatulloh