Article Per Year (5 Year)
p-Index From 2021 - 2026
2.771
P-Index
This Author published in this journals
All Journal JSiI (Jurnal Sistem Informasi) Jurnal Teknologi Informatika dan Komputer Jurnal Sains Indonesia JAMAIKA: Jurnal Abdi Masyarakat Abdi Jurnal Publikasi APPA : Jurnal Pengabdian Kepada Masyarakat Data : Journal of Information Systems and Management Digitus : Journal of Computer Science Applications Jurnal Ilmu Komputer
Tukiyat
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 19 Documents
Search

 1   2 
Analisis Dan Implementasi Sistem Manajemen Keamanan Informasi Menggunakan ISO/IEC 27001 (Studi Kasus Pada PT.XYZ) Wibowo, Rizki Septiyanto; Tukiyat; Sajarwo Anggai; Winarni
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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

Abstract

It has become a current necessity in every company regarding the implementation of information and communication technology governance in efforts to improve service quality. The implementation of information and communication technology governance is a critical factor in enhancing service quality across various companies. Therefore, the adoption of an Information Security Management System (ISMS) based on the ISO 27001:2013 standard becomes essential, in line with the conduct of regular audits to ensure its effectiveness. This research aims to develop and design an information security governance framework in accordance with ISO/IEC 27001 and to conduct audits on the system that has been implemented in PT. XYZ, to ensure its compliance with good and efficient standards. The methodology used is Plan-Do- Check-Act (PDCA), with data collection techniques through interviews and distribution of questionnaires for internal audits. The research findings indicate that the average ISO/IEC 27001 maturity level is at levels three and four. It is expected that this research can assist and provide recommendations related to security controlsused as guidelines and procedures for the implementation of information security, as well as ensuring the overall operation runs in accordance with ISO 27001 standards.
Analisis Resiko Stunting Di Kota Tangerang Menggunakan Metode Regresi Linier dan Support Vector Machine Muhamad Farid Hasan Khadafi; Achmad Hindasyah; Tukiyat
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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

Abstract

Stunting remains a significant public health issue in Indonesia, particularly in Tangerang City, affecting the physical and cognitive development of children. This problem requires serious attention due to its long-term impacts on children's quality of life and their potential in the future.This study aims to analyze the risk factors contributing to the occurrence of stunting in Tangerang City using Linear Regression and Support Vector Machine (SVM) methods. The research question focuses on identifying and predicting the main risk factors influencing the prevalence of stunting. The research method employs Linear Regression Algorithm and Support Vector Machine Algorithm. The study population consists of children under five years old registered at community health centers in Tangerang City. Data samples were collected from 5,376 children, with 80% (4,300 children) used for training and 20% (1,076 children) for model testing. Several socio-economic and health variables were considered as potential risk factors, including household income, maternal education level, access to clean water and sanitation, dietary diversity, and the presence of antenatal care. Data analysis revealed performance differences between the two models used. The SVM model achieved a significantly higher accuracy of 89% with a standard error of 0.4, demonstrating strong predictive capability. In contrast, the Linear Regression model yielded a lower accuracy of 74% with a standard error of 1.5. This difference highlights the potential advantages of SVM in capturing complex and non-linear relationships within the dataset. These findings can inform targeted interventions and policy recommendations to address the causes of stunting in Tangerang City. Further research could explore a broader range of risk factors.
OPTIMALISASI EDUKASI DIGITAL DAN PARTISIPASI MASYARAKAT DALAM MITIGASI BENCANA MELALUI SOSIALISASI APLIKASI LENCANA BMKG Tri Suwito Abdhy; Dian Herdianingsih; Tri Nurmayati; Famiyana Dewi; Citra Kusmardani; Dwi Rachmadi; Hanapi; Dwi Yuwono; Tukiyat
Abdi Jurnal Publikasi Vol. 4 No. 2 (2025): November
Publisher : Abdi Jurnal Publikasi

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

Abstract

This Community Service Program (PKM), organized by Master of Informatics Engineering (S-2) students of Pamulang University (UNPAM), focuses on the Optimization of Digital Education and Public Participation in Disaster Mitigation. The core objective of this activity was to enhance the preparedness and capacity of staff and employees at the Bekasi City Transportation Agency Office through intensive socialization of the BMKG 'Lencana' Application. The threat of natural and non-natural disasters requires a rapid and accurate digital response. The Lencana BMKG Application offers a near-real-time solution for reporting and accessing weather and disaster information. The methods employed included comprehensive outreach, demonstration of application features such as Weather Report, Earthquake Report, and Flood Report, alongside interactive practice to train participants as 'Citizen Reporters' ('Reporter Netizen'). The results indicated a significant increase in digital disaster mitigation literacy among participants, who now possess a better understanding of using the application as both an information source and a means of contributing data. This successful PKM reflects UNPAM's commitment to the Tridharma of Higher Education in building a more resilient community through information technology utilization. The main outcome is the creation of digital-based disaster mitigation agents within the Bekasi City Transportation Agency environment.
SOSIALISASI APLIKASI INFO BMKG DI KANTOR DINAS PERHUBUNGAN KOTA BEKASI Eko Widyantoro HS; Ade Sekarningsih; Andriana Dwi Hastanto; Andrie Febriansyah; Puji Lestari; Sarnubih Hasan; Warno Mulud; Tukiyat
Abdi Jurnal Publikasi Vol. 4 No. 2 (2025): November
Publisher : Abdi Jurnal Publikasi

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

Abstract

Global climate change, which has triggered an increase in extreme weather events, has had a significant impact on transportation activities in urban areas, including Bekasi City. Low digital literacy and minimal use of the BMKG Info application mean that local government officials are not optimally utilizing meteorological data to support transportation safety. This Community Service (PKM) activity was carried out by Master of Informatics Engineering students from Pamulang University in collaboration with the BMKG and the Bekasi City Transportation Agency. The goal was to increase participants' understanding of the functions and benefits of the BMKG Info application through outreach activities, live demonstrations, and interactive discussions. The results of the activity showed a significant increase in participants' knowledge of weather, climate, and earthquake information, as well as increased awareness of the importance of extreme weather preparedness. This activity also strengthened collaboration between academics and government agencies in developing digital disaster literacy.
PEMANFAATAN SISTEM INFORMASI NOWCASTING DALAM MITIGASI BENCANA HIDROMETEOROLOGI Erian Tasa; Shendyko Wicaksono; Nurdin Wibowo; Fahmi Khoirul Ichsan; Ceppy Multi Anggara; Any Widyawati; Farid Faisal; Tukiyat
Abdi Jurnal Publikasi Vol. 4 No. 2 (2025): November
Publisher : Abdi Jurnal Publikasi

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

Abstract

Bekasi City, West Java Province, possesses a high vulnerability to hydrometeorological disasters, particularly floods, resulting from factors such as high rainfall, land-use change, and topographical conditions involving large rivers. Currently, the monitoring system used by the Bekasi City BPBD (Regional Disaster Management Agency) still relies on CCTV and manual observation, which have limitations in automation, data integration, and response speed. To address this, the utilization of information technology, such as the Internet of Things (IoT) and Nowcasting systems, offers a solution for more responsive and real-time disaster mitigation. Nowcasting, as a precise short-term weather forecasting method, combines radar data, satellite imagery, and field observations to enhance the accuracy of extreme weather predictions. This research aims to introduce the application of IoT and radar technology within the disaster mitigation system in Bekasi City to improve the effectiveness of the early warning system and support rapid decision-making. Through community service activities, Master's students in Informatics Engineering from Pamulang University presented material on the implementation of Nowcasting and a water level monitoring system based on radar sensors and IoT. This activity also demonstrated the potential for developing predictive flood models using machine learning, such as Long Short-Term Memory (LSTM). The results indicate that integrating these systems can significantly enhance early flood detection capabilities. The collaboration between Pamulang University and the Bekasi City BPBD serves as a model of strategic synergy for disaster mitigation innovation.
EDUKASI APLIKASI DIGITAL InfoBMKG DAN TEKNOLOGI MKG UNTUK GENERASI TANGGAP BENCANA Niken Wahyuni; Mugiyono; Chandra Dwi Pratomo; Diah Ariefianty; Tukiyat; Agus Tianoto Damar; Abdul Aziz; Nofandi Kodyatmoko
Abdi Jurnal Publikasi Vol. 4 No. 2 (2025): November
Publisher : Abdi Jurnal Publikasi

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

Abstract

This community service program aims to enhance students’ literacy in meteorology, climatology, and geophysics (MCG), as well as improve their ability to utilize the InfoBMKG mobile application as an official and reliable source of weather, climate, and earthquake information. The activity was carried out at SMA IT Baitul Ilmi Bekasi through an educational and participatory approach consisting of awareness sessions on MCG concepts, demonstrations of the InfoBMKG application, discussions, and pre-test and post-test evaluations. A total of 40 students participated in this program. The evaluation results showed a 38% increase in participants’ understanding after the intervention. Moreover, most students demonstrated the ability to independently access weather, climate, and earthquake information, and they showed improved digital literacy, especially in identifying valid data and distinguishing it from hoaxes. Overall, this activity effectively strengthened MCG literacy among high school students and promoted the use of official data in disaster preparedness. The program is recommended to be continued and expanded to other schools as an effort to support disaster risk reduction and strengthen anti-hoax awareness among youth.
Pemanfaatan Artificial Intelligence dalam Pengembangan Aplikasi Pembelajaran di Era Digital Laia, Mahardika Paramarta; Ismatullah; Hakim, Mizanul; Abdussalam, Muhammad Haikal; Candra, Yudi; Tri Putra, Harasta Rahman; Tukiyat; Anggai, Sajarwo
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 4 (2025): APPA : Jurnal Pengabdian kepada Masyarakat (INPRESS)
Publisher : Shofanah Media Berkah

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

Abstract

Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) telah membawa transformasi signifikan dalam bidang pendidikan, khususnya dalam pengembangan aplikasi pembelajaran digital. Penelitian ini menganalisis pemanfaatan AI dalam meningkatkan efektivitas pembelajaran melalui personalisasi konten, analitik prediktif, dan umpan balik real-time, dengan validasi melalui studi kasus implementasi di SMA Muhammadiyah 08 Ciputat. Dengan menggunakan metodologi studi literatur dan evaluasi empiris, kami mengidentifikasi tiga tema utama: (1) peluang pedagogis melalui pembelajaran adaptif dan penilaian otomatis, (2) peningkatan engagement siswa hingga 60% melalui chatbot dan tutor virtual, dan (3) tantangan etika terkait privasi data dan bias algoritma. Hasil implementasi praktis menunjukkan bahwa penerapan aplikasi pembelajaran berbasis AI meningkatkan pemahaman siswa sebesar 40-50% pada kelompok pilot, meningkatkan motivasi belajar secara signifikan, dan membantu guru dalam memantau perkembangan belajar siswa secara sistematis. Evaluasi terhadap 20 siswa kelas X menunjukkan peningkatan keaktifan belajar, pemahaman konsep yang lebih baik, dan hasil posttest yang lebih tinggi dibandingkan dengan pembelajaran konvensional. Namun, diperlukan kerangka kerja etika yang kuat, pelatihan guru yang komprehensif, dan pendampingan berkelanjutan untuk memaksimalkan manfaat AI dalam pendidikan digital. Penelitian ini menyimpulkan bahwa AI memiliki potensi besar untuk menjadi katalis transformasi pendidikan di era digital, tetapi dengan tetap mempertahankan peran humanistik pendidik dan komitmen terhadap pembelajaran yang inklusif.
Performance Evaluation of ARIMA, LSTM, and Hybrid ARIMA–LSTM Models for Daily Solar Energy Prediction in Bali Aslimah; Anggai, Sajarwo; Tukiyat
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3283

Abstract

Solar energy is one of the most promising renewable energy sources in Indonesia, particularly in Bali, which has relatively high solar irradiance throughout the year. However, daily variability in solar radiation caused by weather conditions and atmospheric factors leads to fluctuations in solar energy production, making accurate forecasting essential for effective energy planning. This study aims to evaluate the performance of the Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and hybrid ARIMA–LSTM models in forecasting daily solar energy at the Jembrana Climatological Station, Bali. The dataset consists of 10-minute solar radiation observations obtained from an Automatic Weather Station (AWS) for the period January 2023 to September 2025, which were aggregated into daily solar energy values expressed in kWh/m². Data preprocessing included missing value handling, outlier correction, normalization, and an 80:20 split between training and testing datasets. Model performance was evaluated using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). The results show that the hybrid ARIMA–LSTM model achieved the best performance, with an RMSE of 0.960 kWh/m², MAE of 0.771 kWh/m², and MAPE of 22.245%, outperforming both the ARIMA and LSTM models. These findings indicate that the hybrid approach is more effective in capturing both linear and nonlinear characteristics of daily solar energy time series.
SOSIALISASI TEKNOLOGI MODIFIKASI CUACA UNTUK PENINGKATAN LITERASI SAINS ATMOSFER BAGI SISWA SMA IT BAITUL ILMI BEKASI Tukiyat; Murni Handayani; Uliyatunisa
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 6 No 3 (2025): OKTOBER
Publisher : Universitas Pamulang

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

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) Universitas Pamulang dilaksanakan di SMA IT Baitul Ilmi Bekasi dengan tujuan meningkatkan literasi sains atmosfer melalui sosialisasi teknologi modifikasi cuaca (TMC). Literasi sains atmosfer di kalangan pelajar masih tergolong rendah, padahal pemahaman terhadap dinamika atmosfer penting dalam menghadapi perubahan iklim dan bencana hidrometeorologi. Kegiatan dilaksanakan dalam tiga sesi, yaitu pengenalan konsep atmosfer, pemutaran video edukatif dan diskusi kelompok, serta evaluasi melalui pre-test dan post-test. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman siswa, dengan tingkat kepuasan rata-rata mencapai 83,7% dan 98% peserta menyatakan kegiatan bermanfaat. Penilaian kualitas materi, metode, dan penyampaian narasumber berada pada kategori sangat baik, meskipun aspek interaktivitas dan antusiasme masih perlu ditingkatkan. Secara umum, kegiatan ini efektif, edukatif, dan kontekstual, serta berhasil meningkatkan motivasi dan kesadaran lingkungan siswa. Kegiatan ini berkontribusi terhadap pelaksanaan Tridharma Perguruan Tinggi melalui luaran berupa laporan PKM dan publikasi artikel ilmiah. Kata kunci: literasi sains atmosfer; sosialisasi; modifikasi cuaca; pengabdian masyarakat; siswa SMA
Co-Authors Abdul Aziz Abdussalam, Muhammad Haikal Abu Khalid Rivai Achmad Hindasyah Ade Sekarningsih Agnia Bilqisti Agung Budi Susanto Agus Tianoto Damar Andriana Dwi Hastanto Andrie Febriansyah Anggai, Sajarwo Any Widyawati Arya Adhyaksa Waskita Aslimah Ceppy Multi Anggara Chandra Dwi Pratomo Citra Kusmardani Cut Shifa Khoirunnisa Diah Ariefianty Dian Herdianingsih Dwi Rachmadi Dwi Yuwono Edlianto, Dionisius Riyan Eko Widyantoro HS Erian Tasa Fahmi Khoirul Ichsan Famiyana Dewi Farid Faisal Firman Hakim, Mizanul Hanapi Hartanto Hesti Rahayuningsih Ismatullah Kanim Laia, Mahardika Paramarta Makhsun Misbah Mugiyono Muhamad Farid Hasan Khadafi Muhamad, Faruk Muhammad Rafif Misbahuddin Murni Handayani Niken Wahyuni Nofandi Kodyatmoko Nurdin Wibowo Nurmutia, Syahreen PUJI LESTARI Rafi Mahmud Zain Ruspendi Sarnubih Hasan Shendyko Wicaksono Tri Nurmayati Tri Putra, Harasta Rahman Tri Suwito Abdhy Uliyatunisa Warno Mulud Wibowo, Rizki Septiyanto Wiharjo, Sudarno Winarni Yudi Candra Zain, Rafi Mahmud