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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Informasi Interaktif Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik JISA (Jurnal Informatika dan Sains) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Applied Data Sciences Jutsi: Jurnal Teknologi dan Sistem Informasi Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer J-Com (Journal of Computer) Jurnal Ranah Publik Indonesia Kontemporer (Rapik) Journal Automation Computer Information System (JACIS) Bulletin of Information Technology (BIT) Transformasi Ilmu Komputer untuk Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) DEVOTE: Jurnal Pengabdian Masyarakat Global Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Jurnal Insan Pengabdian Indonesia Edu Komputika Journal Pekayunan
Ahmad Tantoni
STMIK Lombok
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Analisis Mapping Cakupan Sinyal SSID Dengan Metode PPDIOO Untuk Mendukung Pelaksanaan Ujian Semester Sekolah Menggunakan Smartphone Android Ahmad Tantoni; Mohammad Taufan Asri Zaen; Khairul Imtihan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4139

Abstract

In this modern era of the industrial revolution 4.0, high school level exams which used to still use paper to print question sheets were then given to students and students answered the question sheet on the answer sheet provided by the exam supervisor/committee. It was began to be replaced by the existence of information systems (IS) and information technology (IT) which made it easier in terms of time and cost efficiency. With the application of IS/IT, it supports major changes in carrying out the exams conducted by high school level schools, also supported by millennial children aged 14 to 19 years who already have smartphones in their hands. SMAN 1 Masbagik is a public high school located in Masbagik sub-district, East Lombok with a land area of 10,260 m2 where there are 30 classrooms and 5 laboratory rooms. From the results of interviews with teachers at SMAN 1 Masbagik, it was found that almost 80% of students have smartphones, this is very supportive of the transition from manual exams to computer/smartphone-based exams. From the survey of the location of SMAN 1 Masbagik, it was found that there were access points installed in all classes to support computer-based exams intended for all students to access the local question server that had been provided. However, there are also problems found when conducting a direct survey to the location to interview students in the problem of wireless signal strength (access points) which are spread across each class unevenly/all over to students' smartphones, there are blank spots in some classes which result in students experiencing delays. data transmission when filling out the answers to questions on their respective smartphones. In wireless signal technology, interference also occurs, according to S'to, explaining that the frequency allocator for each channel used overlaps, for example, the use of channel 1 and channel 2 simultaneously can cause interference which results in data being sent will be damaged. This can also reduce data transfer from the access point to the smartphone to be slow. The method used is the PPDIOO method (Prepare, Plan, Design, Implement, Operate and Optimize), but there is a limitation of the method only to the design stage. The purpose of this research is to be considered for schools to determine the position of a good access point and cover all areas of the classroom so that the exams conducted by the education unit are successful and analyze the selection of channel widths to avoid wireless signal interference. The test results while getting a bad signal in the corner of the class and even blank spots in some places.
PENINGKATAN PRODUKSI PETANI LAHAN KERING MELALUI BUDIDAYA SEMANGKA BERBASIS TEKNOLOGI IRIGASI UNTUK MENCETAK PETANI MUDA MILENIAL DAN MEWUJUDKAN PERTANIAN BERKELANJUTAN Mardi Mardi; Muhammad Fauzi Zulkarnaen; Ahmad Tantoni
Devote: Jurnal Pengabdian Masyarakat Global Vol. 4 No. 4 (2025): Devote: Jurnal Pengabdian Masyarakat Global, 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/devote.v4i4.5122

Abstract

This community service program was conducted in Sambelia Village, East Lombok Regency, an area characterized by dryland agriculture and high dependency on rainfall. The main problems faced by farmers are limited water resources, low crop diversification, and declining youth interest in the agricultural sector. The program aimed to enhance farmers’ capacity and productivity through the implementation of water-efficient irrigation technology and watermelon cultivation after corn harvest. The activities were carried out in five stages: socialization, training, technology implementation, mentoring and evaluation, and program sustainability. Training sessions adopted a learning by doing approach covering dryland watermelon cultivation, drip irrigation systems, organic fertilizer management, and digital marketing. The results indicated a significant improvement in participants’ knowledge and skills, with post-test scores increasing by an average of 47.3% compared to pre-test. In terms of productivity, farmers who previously cultivated corn only once a year were able to add a second cropping cycle with watermelon, resulting in a 166–200% increase in income. This activity demonstrates that the implementation of community-based irrigation technology effectively improves land-use efficiency, farmer independence, and agricultural sustainability in dryland areas.
Optimalisasi Random Forest dengan Penyelarasan Temporal untuk Identifikasi Faktor Determinan Stunting Nusa Tenggara Barat Lalu Mutawalli; Mohammad Taufan Asri Zaen; Ahmad Tantoni; Muhammad Fauzi Zulkarnaen
Bulletin of Information Technology (BIT) Vol 7 No 2 (2026)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i2.2648

Abstract

Stunting remains a major public health issue in West Nusa Tenggara, with key challenges including low data integrity caused by reporting discontinuities, spatial heterogeneity, and statistical noise that obscure accurate determinant identification. These issues are particularly evident during the 2023–2024 reporting transition, where inconsistencies distort the relationship between community health worker performance and stunting prevalence. This study applies a Spatio-temporal approach incorporating temporal alignment, normalization, and Random Forest regression. The analysis includes Moderated Regression Analysis using Ordinary Least Squares, R², and Global Moran's I. The objective is to improve accuracy in identifying determinants of stunting reduction and evaluate community health worker effectiveness using integrated data. Results show consistent decline in stunting prevalence during 2018–2024, with significant reductions in Central of Lombok (-42.2%), West Lombok (-39.4%), and Bima City (-47.7%), while increases occurred in Bima Regency (+8.5%) and Mataram City (+33.6%). Model performance improves significantly after data alignment, with R² exceeding 0.70. Feature importance identifies cadre workload ratio and child weighing participation as dominant predictors (p = 0.073), indicating a discovery effect. Spatial analysis yields Global Moran's I of -0.0615, suggesting a dispersed pattern. Overall, integrating temporal data alignment with machine learning and spatial analysis enhances determinant identification and supports data-driven policy for stunting reduction in West Nusa Tenggara.
Evaluation of Fresnel Zone in Ubiquiti Wireless Simulation and Implementation Using 802.11ac Ahmad Tantoni; Mohammad Taufan Asri Zaen
JISA(Jurnal Informatika dan Sains) Vol 9, No 1 (2026): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v9i1.2752

Abstract

The development of wireless communication technology is increasing along with the need for high-speed internet access, both in urban and rural areas. Point-to-Point (PtP) technology based on the IEEE 802.11ac standard is one of the main solutions for providing long-distance connectivity, particularly in backhaul networks, ISPs, and inter-building communication. However, the network implementation process often relies on link simulations using software such as ISP Design Center or AirLink, which do not always accurately represent field conditions. Wave propagation factors, terrain contours, and obstacles in the Fresnel Zone significantly affect signal quality. The Fresnel Zone is a three-dimensional propagation area that must be at least 60% free of obstacles for optimal transmission. Previous research has shown limitations in studies related to evaluating the accuracy of Fresnel Zone simulations on Ubiquiti 802.11ac devices. Therefore, this research evaluates and compares the parameters of RX Signal Strength, throughput, channel width, and Fresnel Zone clearance between simulation results and direct field testing on a PtP connection. The research results are expected to serve as a technical reference for network practitioners in validating simulation results and providing recommendations for more accurate and efficient PtP connection design. This research also emphasizes the importance of Line of Sight (LOS) and Fresnel Zone optimization in maintaining the stability of outdoor wireless networks based on IEEE 802.11ac
Development of a School Profile Website as a Digital Information Medium Using the Waterfall Method Muhammad Mustakim; Sofiansyah Fadli; Ahmad Tantoni
JISA(Jurnal Informatika dan Sains) Vol 9, No 1 (2026): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v9i1.2747

Abstract

The development of information technology encourages educational institutions to utilize digital media in delivering information more effectively. However, SMPN 4 Praya Tengah still uses conventional methods in disseminating information, resulting in limited reach and inefficiency. This study aims to design and implement a school profile website as a digital information medium that can be widely accessed by students, parents, and the community. The method in this study uses the Waterfall model, which was selected due to its systematic and structured development stages that are well-suited for projects with clearly defined and stable requirements. The Waterfall model includes the stages of analysis, design, implementation, and testing. This research integrates PHP and JavaScript programming languages with a MySQL database. The resulting system provides comprehensive features ranging from school profile, vision and mission, news, announcements, gallery, to online admission services (PPDB). The website is designed with a simple and user-friendly interface so it can be well managed by the school. Through Black Box Testing, this website has been proven to function optimally in presenting information accurately and in a structured manner. System validation was conducted through two methods: Black Box Testing, which confirmed all features operate according to specifications, and User Acceptance Testing (UAT) involving 50 respondents with 16 evaluation items, yielding an average score of 78.50% (categorized as 'Agree'). These results empirically validate that the implementation of this website provides measurable benefits in improving the effectiveness of information delivery, expanding access, and supporting digital transformation within the school environment. This system is expected not only to facilitate digital transformation in schools but also to serve as a reference for the development of other school websites.
Segmentasi Risiko Kesehatan Bayi dan Balita Menggunakan Algoritma K-Means Lalu Mutawalli; Mohammad Taufan Asri Zaen; Ahmad Tantoni; Indi Febriana Suhriani
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.504

Abstract

Urban disparities in maternal and child health remain a critical challenge in achieving the Sustainable Development Goals (SDGs). This study aims to map the disparity of health risks among infants and toddlers across 44 subdistricts in DKI Jakarta by analyzing three key indicators: prevalence of low birth weight (LBW), infant mortality, and undernutrition. Cross-sectional data from 2024 (n=176) were normalized using Min-Max scaling to minimize scale bias. The clustering process using the K-Means algorithm was conducted after determining the optimal number of clusters (k=5) through the Elbow method. Cluster validation employed three metrics—Silhouette Score (0.65), Davies-Bouldin Index (0.45), and Calinski-Harabasz Index (82.2)—demonstrating the model's consistency. Stability analysis through subsampling further confirmed the reliability of the results (standard deviation <0.1). Five risk patterns were identified: (1) two low-risk clusters (LBW <1.0%; undernutrition <2%), (2) two moderate-risk clusters (LBW 1.0–1.75%; infant mortality 0.5–3%), and (3) one high-risk cluster (LBW >1.75%; undernutrition >8%). The subdistricts of Jagakarsa and Kepulauan Seribu were identified as priority intervention hotspots due to high comorbidity risks. The findings indicate that the K-Means approach is effective in supporting evidence-based resource allocation policies, particularly in optimizing NICU services and nutrition supplementation programs in high-risk areas. This spatially based approach also facilitates more intuitive visualization for targeted and efficient planning of local health programs.
A Modified TAM-ECT Model for Evaluating User Satisfaction and Behavioral Intention in Community-Based Internet Services Khairul Imtihan; Ahmad Tantoni; Mardi
Edu Komputika Journal Vol. 12 No. 1 (2025): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v12i1.24142

Abstract

This study develops and validates a modified Technology Acceptance Model–Expectation Confirmation Theory (TAM-ECT) framework to evaluate user satisfaction and behavioral intention in the context of community-based internet services (RT/RW Net). Unlike prior TAM-ECT studies predominantly conducted in commercial ISP or e-service environments, this research explicitly focuses on decentralized, community-managed internet services characterized by informal governance structures, low switching barriers, and non-contractual user relationships. Addressing the lack of research on decentralized internet service models, this study integrates external factors service quality, cost-effectiveness, system quality, and customer support and moderating factors, namely digital literacy and switching cost. A quantitative survey approach was employed, collecting valid responses from 803 active users between January and March 2025. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance-Performance Map Analysis (IPMA). The results demonstrate that perceived ease of use strongly influences perceived usefulness and behavioral intention, while perceived usefulness significantly impacts both user satisfaction and behavioral intention. Notably, and contrary to the core assumption of Expectation Confirmation Theory, user satisfaction does not significantly predict behavioral intention, indicating a context-specific deviation in community-based digital services where pragmatic usability considerations outweigh affective satisfaction. External factors such as customer support and system quality significantly affect user perceptions, highlighting the importance of technical performance and user experience in decentralized service settings. Digital literacy positively moderates the relationship between perceived ease of use and behavioral intention. The IPMA findings reveal that ease of use, service usefulness, and customer support are the most critical areas for improvement. Theoretically, this study extends TAM-ECT by demonstrating that continuance intention in community-based internet services is driven more by usability and functional value than by satisfaction-driven confirmation mechanisms commonly observed in commercial platforms. This study offers practical insights for optimizing technical quality, service functionality, and user digital competencies to foster sustainable adoption in community-managed internet infrastructures.
CLaGAtt: A Hybrid CNN-LSTM-GRU-Attention Model for Stunting Classification Based on Anthropometric Sequences Sofiansyah Fadli; Ahmad Tantoni; Novia Arista; M. Khairul Anam; Muhammad Bambang Firdaus
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1454

Abstract

Stunting is a chronic nutritional problem that requires accurate early identification because it affects child growth, cognitive development, and long-term human capital. This study adapts the CLaGAtt model, a hybrid CNN–LSTM–GRU–Attention architecture, for stunting classification using anthropometric sequence data. Rather than proposing a new deep learning architecture, the main contribution of this study lies in adapting the existing CLaGAtt framework through an integrated preprocessing pipeline, sequence construction strategy, class balancing using SMOTE, and an evaluation protocol specifically designed for stunting prediction. The preprocessing pipeline included irrelevant-column removal, data transformation, label encoding, standard scaling, class balancing using SMOTE, and sequence generation with a time step of five and a step of one. Three train–test split scenarios were evaluated, namely 90:10, 80:20, and 70:30. Experimental results showed that the 90:10 split produced the best performance, with 91.42% accuracy, 91.50% precision, 91.50% recall, and 91.43% F1-score. The 80:20 and 70:30 scenarios achieved 87.14% and 85.71% accuracy, respectively, indicating that larger training proportions improved model generalization in the available dataset. These findings suggest that the adapted CLaGAtt framework can effectively integrate convolutional feature extraction, sequential learning, and temporal attention for stunting classification from structured anthropometric data. Future work should validate the model on external datasets and integrate regional visualization to support priority intervention mapping.
Co-Authors Ahmad Saprun Haris Anam, M Khairul Arief Setyanto Arifin Hargianto Edi Kurniawan efendi, Budiman Eko Pramono Hairul Fahmi Hairul Fahmi Hasyim Asyari Ilham Kusuma Jaya Indi Febriana Suhriani Khairul Imtihan Kiki Haerani Lalu Mutawalli Lalu Oji Darmaji M. Arif Setiawan Mardi Mardi Maulana Ashari Mohammad Taufan Asri Zaen Muhammad Bambang Firdaus Muhammad Fauzi Zulkarnaen Muhammad Mustakim Novia Arista Novita Susiana Ikhwani Romzi Romzi Sofiansyah Fadli Sri Wahyuni Putri Suherman Apriadi Sumardi Jayanto Wire Bagye Yuliadi Yuliadi