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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Wikrama Parahita : Jurnal Pengabdian Masyarakat JITK (Jurnal Ilmu Pengetahuan dan Komputer) JSiI (Jurnal Sistem Informasi) ILKOMNIKA: Journal of Computer Science and Applied Informatics Prosiding Seminar Nasional Multidisiplin Ilmu Respati Jurnal Teknik Informatika (JUTIF) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) JUSTIN (Jurnal Sistem dan Teknologi Informasi) ETAM: Jurnal Pengabdian kepada Masyarakat Jurnal Atma Inovasia Jurnal Masyarakat Madani Indonesia Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Agus Qomaruddin Munir
Fakultas Teknik, Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
INTEGRATED POPULATED SERVICES SYSTEM USING AGILE APPROACH Agus Qomaruddin Munir; Evrita Lusiana Utari; Desty Ervira Puspaningtyas; Bayu Indra Wahyudi
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.657

Abstract

The significant and uneven population growth in Indonesia in each region triggers problems for implementing development. The government has tried to overcome various population problems, one of which is using electronic media to record and update population biodata in population administration in Indonesia, namely establishing a Population Administration Information System (SIAK). The goal is that all people can be recorded and recorded accurately in the SIAK database and have a Population Identification Number (NIK) which is helpful as a reference for the government in providing public services to the community, one of which is population services at the village level. Kelurahan is a government agency under the sub-district, led by the village head. Kelurahan consists of several RW, and each RW consists of several RT. For this reason, a government agency requires a system that can assist and facilitate agency devices, so a system is needed, namely a population information system in the Village. This study aims to make an Integrated Population Information System at the Kalurahan level. The Population Information System includes data services for new residents, birth data, death data, moving data, arrival date, and marriage data. The information system is accessed using mobile devices that have easy access for residents. The software development method used is a serial waterfall which starts from the system's planning, analysis, design, and implementation process. The output of this research is an applicative work for using research-based information technology to assist population services where the Integrated Population Service System can be accessed using a mobile application. Digitized data can be used as a basis for information retrieval, one of which is the opportunity to make efforts to facilitate population services through the information collected.
GEOGRAPHIC INFORMATION SYSTEMS FOR AGRICULTURAL SUITABLE LAND AT KABUPATEN SLEMAN Agus Qomaruddin Munir; Indra Listiawan; Evrita Lusiana Utari; Muh. Ridho Wahid Solihin
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.759

Abstract

Indonesia is an agricultural country, the growth rate of various food and crops tends to be stable. However, some plants in certain areas are different from what is expected. This study aims to investigate land suitability for crops such as rice, analysis of development potential, and develop recommendations for land use for agricultural types, Sleman Regency, Special Region of Yogyakarta. Landsat 8 imagery is used for land use extraction as input for making land use directions for agricultural and forestry plant species. The method used in this study is a combination of analysis of Landsat 8 imagery and field data processed using a Geographic Information System in making thematic maps of the physical characteristics of the land to obtain land suitability maps for agricultural crop species and with a weighting method in stages based on the physical parameters of the conditions for growing crops. The analysis results are used to formulate land use directions for the types of crops in Sleman Regency. An area very ideal for the type of rice plant and land planted. For crops, it is directed based on the room's function, namely in the cultivation area. Sites that have the potential to be developed for crops are produced and set in buffer zones because more emphasis is placed on conservation aspects and increasing crop productivity. This geographic information system is one of the recommendations to be used as a reference by farmers in increasing the productivity of agricultural land.
BIG DATA CONCEPT ANALYSIS FOR AGRICULTURAL SUITABLE LAND GEOGRAPHIC INFORMATION SYSTEM APPROACH Munir, Agus Qomaruddin; Aini, Farida Nur; Utari, Evrita Lusiana; Hafidhah, Naufal Naja
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.1328

Abstract

Big data analysis for agriculture provides farmers with a comprehensive view of the concept of increasing agricultural productivity using the effectiveness of irrigation canals, predicting rainfall to determine outcrop patterns, and identifying the adequacy of agricultural land. It also allows farmers to optimize irrigation, increasing yields while reducing costs and environmental impact. It also will enable farmers to optimize irrigation; Rainfall predictions are used to determine cropping patterns and identify suitability for permits. It can also be used to deal with weather patterns and climate change, allowing farmers to adapt their practices to reduce the impact of climate change, ultimately protecting their crops and currency. This research aims to develop plant productivity through several stages of research and the use of methods. The methods used in this study are 1)Prediction of water discharge using the linear regression method; 2)Prediction of Rainfall for Planting Pattern Training using the SARIMA method, and 3)Suitability of Agricultural Land using the Cluster Area Analysis Approach. The results of this study are that in the Sleman region, the adequacy of water for agricultural areas is in the excellent category (fulfilled), cropping pattern spending is divided into 2, namely dry and wet months. In the wet months (high rainfall), rice is suitable for planting from January to May; for the dry months between June and October, tobacco, soybeans, corn, peanuts, green beans, cassava, and sweet potatoes. As for land suitability, it consisted of 46025.36 Ha (81%) suitable and 10811.48 Ha not suitable for use.
Deep Learning Rnn-Lstm Model For Forecasting Tourist Visits In Yogyakarta Using Bps Time-Series Data Munir, Agus Qomaruddin; Wardani, Ratna; Setiyawan, Ramadhana; Mustofa, Zaenal; Nurkhamid, Nurkhamid
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5467

Abstract

Tourism is a crucial sector in Indonesia's economic growth, particularly in Yogyakarta, contributing significantly to revenue, job creation, and infrastructure development. However, the COVID-19 pandemic has significantly impacted the tourism industry, making tourist arrival forecasting crucial for effective government policy decision-making. This study aims to predict tourist arrivals in Yogyakarta using deep learning models, specifically the Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) algorithms, chosen for their ability to process time series data and address non-linearity issues. Tourist arrival data from the Yogyakarta Central Statistics Agency (BPS) was used to train and test the model. Model evaluation was conducted using the Root Mean Squared Error (RMSE) metric to measure prediction accuracy. The results show that this model can accurately predict tourist arrival patterns, which can support strategic decision-making regarding the procurement of tourism facilities in Yogyakarta. The impact of this research is to provide practical benefits for local governments and tourism industry players in planning tourism promotion and management strategies. With more accurate predictions, relevant parties can prepare necessary resources and optimize tourism services according to projected visitor numbers.
Co-Authors Agus Prayitno Aini, Farida Nur Andri Syafrianto Anindita Septiarini, Anindita Anny Kartika Sari Bagus Subekti Nuswantoro Bayu Indra Wahyudi Bekti Wulandari Bekti Wulandari Bonita Destiana Budi Rahmani Daud Andang Pasalli, Daud Andang Desty Ervira Puspaningtyas Dharmawan, Dhimas Arief Didit Suprihanto, Didit Dina Fitri Septarini, Dina Fitri Dzul Fadli Rahman Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari, Evrita Lusiana Hafidhah, Naufal Naja Hamdani Hamdani HERU Heru Ismanto Ikhwan Mustiadi Indra Listiawan Irawadi Buyung Irawadi Buyung, Irawadi Jayanti, Rafika Latifah Listyalina Listiawan, Indra Listyalina, Latifah Muh. Ridho Wahid Solihin Muhammad Resa Arif Yudianto Nurkhamid Nurkhamid, Nurkhamid Prastowo Kristiyanto Putra Wanda Putu Sugiartawan Rahman, Dzul Fadli Ramadhana Setiyawan Ramadhana Setiyawan Ramadhana Setiyawan Ramadhana Setiyawan Ratna Wardani Ratnaningsih, Wahyu Sabdullah, Mursid Satriyo Agung Dewanto Satriyo Agung Dewanto Setiyawan, Ramadhana TAUFIQ HIDAYAT Wijaya, Nurhadi Yusriadi Yusriadi Yusril Eka Saputra Zaenal Mustofa Zaenal Mustofa Zaidir