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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Silvikultur Tropika (JST) Jurnal Pustakawan Indonesia BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Simetris Bulletin of Electrical Engineering and Informatics Jurnal Ilmu Komputer dan Agri-Informatika Journal of Degraded and Mining Lands Management Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Scientific Journal of Informatics Edulib JOIN (Jurnal Online Informatika) Jurnal Teknologi dan Sistem Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan Bina Hukum Lingkungan ILKOM Jurnal Ilmiah EDUMATIC: Jurnal Pendidikan Informatika Computer Science and Information Technologies Nusantara Science and Technology Proceedings International Journal of Electronics and Communications Systems Jurnal Pustakawan Indonesia Jurnal Informatika dan Teknologi Informasi Bina Hukum Lingkungan Policy Brief Pertanian, Kelautan, dan Biosains Tropika Scientific Journal of Informatics BACA: Jurnal Dokumentasi dan Informasi
Imas Sukaesih Sitanggang
Department Of Computer Science, Faculty Of Mathematics And Natural Sciences, IPB University, Jl. Meranti Wing 20 Level V, IPB Dramaga Campus Bogor, 16680, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Veterinary

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CO and PM10 Prediction Model based on Air Quality Index Considering Meteorological Factors in DKI Jakarta using LSTM Wattimena, Emanuella M C; Annisa, Annisa; Sitanggang, Imas Sukaesih
Scientific Journal of Informatics Vol 9, No 2 (2022): November 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i2.33791

Abstract

Purpose: This study aimed to make CO and PM10 prediction models in DKI Jakarta using Long Short-Term Memory (LSTM) with and without meteorological variables, consisting of wind speed, solar radiation, air humidity, and air temperature to see how far these variables affect the model.Methods: The method chosen in this study is LSTM recurrent neural network as one of the best algorithms that perform better in predicting time series. The LSTM models in this study were used to compare the performance between modeling using meteorological factors and without meteorological factors.Result: The results show that the use of meteorological predictors in the CO prediction model has no effect on the model used, but the use of meteorological predictors influences the PM10 prediction model. The prediction model with meteorological predictors produces a smaller RMSE and stronger correlation coefficient than modeling without using meteorological predictors.Novelty: In this paper, a comparison between the prediction model of CO and PM10 has been conducted with two scenarios, modeling with meteorological factors and modeling without meteorological factors. After the comparative analysis was done, it was found that the meteorological variables do not affect the CO index in 5 air quality monitoring stations in DKI Jakarta. It can be said that the level of CO pollutants tends to be influenced by factors other than meteorological factors.  
Scalability Testing of Land Forest Fire Patrol Information Systems Ahmad Khusaeri; Imas Sukaesih Sitanggang; Hendra Rahmawan
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.977

Abstract

The Patrol Information System for the Prevention of Forest Land Fires (SIPP Karhutla) in Indonesia is a tool for assisting patrol activities for controlling forest and land fires in Indonesia. The addition of Karhutla SIPP users causes the need for system scalability testing. This study aims to perform non-functional testing that focuses on scalability testing. The steps in scalability testing include creating schemas, conducting tests, and analyzing results. There are five schemes with a total sample of 700 samples. Testing was carried out using the JMeter automation testing tool assisted by Blazemeter in creating scripts. The scalability test parameter has three parameters: average CPU usage, memory usage, and network usage. The test results show that the CPU capacity used can handle up to 700 users, while with a memory capacity of 8GB it can handle up to 420 users. All users is the user menu that has the highest value for each test parameter The average value of CPU usage is 44.8%, the average memory usage is 69.48% and the average network usage is 2.8 Mb/s. In minimizing server performance, the tile cache map method can be applied to the system and can increase the memory capacity used.
Development ETL (Extract, Transform and Load) Module in Indonesian Agricultural Commodities OLAP System Aditia Yudhistira; Imas Sukaesih Sitanggang; Hari Agung Adrianto
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1758.335-343

Abstract

The SOLAP system for Indonesian Agricultural Commodities is a successful development based on previous studies. Agricultural commodity data are managed in a data warehouse with a galactic schema, which has 7 fact tables, namely cut flower horticulture, ornamental plant horticulture, horticulture, food crops, plantation, livestock population, and livestock production, as well as 3 dimensional tables, namely location, time, and commodity. The results of SOLAP operations on the system can be visualized in the form of crosstabs, graphs and maps. The system uses a web platform so that it can be accessed by the public. However, the SOLAP system cannot update data in real time. This study aims to develop a data warehouse for Indonesian Agricultural Commodities SOLAP in real time by creating a scraping system. This study has succeeded in developing a data warehouse in real time on the indonesian agricultural commodity SOLAP system by creating a real time scraping system that is applied to the SOLAP server and has succeeded in making the ETL process run in real time on the SOLAP server and optimizing polygon-based spatial data visualization using the Douglas-Peucker. This study has also carried out functional testing of OLAP features and functions on the Indonesian Agricultural Commodity SOLAP system using the black box testing method. The results of this study provide accurate and real-time data on the SOLAP of Indonesian Agricultural Commodities, with the results of SOLAP feature testing achieving 100 percent pass and the data conformity test results of OLAP function as expected. In addition, the results of this study make it possible to automatically update the data according to a predetermined schedule to provide real-time information.
Metadata Modeling of LoRa Based Payload Information for Precision Agriculture Tea Plantation Eddy Prasetyo Nugroho; Taufik Djatna; Imas Sukaesih Sitanggang; Irman Hermadi; Agus Mulyana; Sri Wahjuni; Heru Sukoco
Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i2.43432

Abstract

Purpose: The purpose of this study is to model the metadata of Payload Information on Agriculture Drones which consists of the results of images computational and the Onboard system of the Drone.Methods: The stages of the research were carried out with the process of forming Payload information metadata from the Agriculture Drone with sensors/actuators based on the architecture and computing with Image Processing or Computer Vision on the camera captures. This study describes the metadata modeling process formed from the Internet of Things system with Drone and GCS communication based on the Long Range or Long-Range Wide Area Network protocols with Payload information consisting of drone data and image computation results. Result: The result obtained is the formation of Payload information from LoRa-based Drones with a frame size of 142 bytes. Novelty: Payload information is formed into a metadata model indicator with the formation scheme being part of the tea plantation dataset. The metadata model will be test expected to obtain field data on Drones and GCS communication in the LoRaWAN Network in tea plantations which are rural environments. 
Knowledge Management System For Forest and Land Fire Mitigation in Indonesia: A Web-Based Application Development Unik, Mitra; Rizki, Yoze; Sukaesih Sitanggang, Imas; Syaufina, Lailan
Jurnal Manajemen Hutan Tropika Vol. 30 No. 1 (2024)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.30.1.12

Abstract

Forest and land fires in Indonesia have serious impacts on many aspects, including the environment, health, economy, politics, and international relations. They cause haze pollution that extends to neighboring countries and peatland degradation. Despite extensive research and mitigation efforts, forest and land fires continue to occur and cost lives. Therefore, effective management and mitigation strategies are required. This research developed a web-based knowledge management system (KMS) using the Laravel framework as an effective forest and land fire mitigation platform. The KMS aims to support decision-making, facilitate knowledge exchange, improve coordination between stakeholders, and expand access to relevant information, while maintaining the sustainability of forest and land resources in Indonesia. The KMS evaluation results cover two important aspects: blackbox evaluation and performance evaluation. The blackbox evaluation showed that KMS provides knowledge retrieval features based on expert knowledge. The performance evaluation revealed that the KMS provides easy and quick access to information on forest and land fire prevention and management. Thus, this research has great potential to help overcome the problem of forest and land fires in Indonesia and protect the environment and society from their adverse effects.
Model Klasifikasi Kesesuaian Lahan Bawang Putih Menggunakan Interpolasi Spasial dan Algoritme Pohon Keputusan Imas Sukaesih Sitanggang; Annisa; Dini Hayati
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 11 No. 1 (2024)
Publisher : Sekolah Sains Data, Matematika, dan Informatika. Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.11.1.1-12

Abstract

Bawang putih merupakan salah satu hasil hortikultura yang harus terpenuhi setiap tahunnya. Jumlah produksi bawang putih tidak sebanding dengan jumlah konsumsi bawang putih menjadi acuan pemerintah untuk melakukan impor guna mencukupi kebutuhan dalam negeri. Hal ini menjadi dasar pemerintah untuk melakukan swasembada bawang putih. Usaha yang dilakukan untuk mencapai swasembada bawang putih salah satunya adalah melakukan perluasan lahan untuk tanaman bawang putih. Penelitian ini bertujuan untuk menentukan model klasifikasi kesesuaian lahan bawang putih menggunakan algoritme C5.0 berdasarkan karakteristik lahan dan interpolasi temperatur menggunakan metode Inverse Distance Weighted (IDW). Penelitian ini menghasilkan pohon keputusan dengan 5 aturan kelas kesesuaian lahan dengan akurasi sebesar 97.81% pada dataset dengan data temperatur bulan Mei 2022. Variabel penting dalam menentukan kelas kesesuaian lahan pada periode ini adalah kedalaman mineral tanah. Sedangkan nilai akurasi pada dataset dengan data temperatur bulan Juli 2022 menghasilkan model pohon keputusan dengan 17 aturan kelas kesesuaian lahan dengan akurasi sebesar 95.91%. Variabel penting dalam menentukan kelas kesesuaian lahan pada periode ini adalah kejenuhan basa.
Model Klasifikasi Fase Pertumbuhan Tebu dari Citra Sentinel 1 Multi-temporal Menggunakan Algoritma Random Forest Bramdito, Vandam Caesariadi; Wijaya, Sony Hartono; Sitanggang, Imas Sukaesih
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 10 No. 2 (2023)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.10.2.212-223

Abstract

The Special Region of Yogyakarta, a designated sugarcane center, demands special attention for effective extensification efforts, necessitating spatial insights into sugarcane farming. Monitoring of sugarcane fields served to obtain information on the growth phases of sugarcane and its distribution for agricultural extensification strategies. For this reason, it is necessary to carry out image classification using the Random Forest reliable algorithm to classify sugarcane growth phases in multi-temporal Sentinel 1 images. The sugarcane planting calendar Map is conducted from the image classification outcomes and then tested for its accuracy for evaluation. The classification process involves analyzing each image captured monthly throughout 2020, with a dataset comprising 9690 sample pixels across six classification classes: buildings, vegetation, water bodies, rice fields, sugarcane phase class 1, and sugarcane phase class 2. The results show that the Sentinel 1 image consisting of 13 images has an average classification model accuracy of 65.38%. Notably, the image classification achieved its pinnacle performance in October, boasting the highest overall accuracy level at 73.33%, accompanied by an RMSE value of 2.05.
Implikasi Kebijakan Kebakaran Hutan dan Lahan di Indonesia: Kebutuhan Dukungan Teknologi Syaufina, Lailan; Sitanggang, Imas Sukaesih; Purwanti, Endang Yuni; Rahmawan, Hendra; Trisminingsih, Rina; Ardiansyah, Firman; Wulandari; Albar, Israr; Krisnanto, Ferdian; Satyawan, Verda Emmelinda
Journal of Tropical Silviculture Vol. 15 No. 01 (2024): Jurnal Silvikutur Tropika
Publisher : Departemen Silvikultur, Fakultas Kehutanan dan Lingkungan, Institut Pertanian Bogor (IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j-siltrop.15.01.70-77

Abstract

Kebakaran hutan dan lahan (karhutla) merupakan isu lingkungan yang penting di kawasan Asia Tenggara, terkait dengan polusi kabut asap yang melintas batas. Pemerintah Indonesia telah mengubah paradigma dengan memprioritaskan kegiatan pencegahan kebakaran dari pemadaman sejak tahun 2016. Penelitian ini bertujuan untuk melakukan tinjauan sistematik perkembangan kebijakan terkait karhutla dan untuk mengevaluasi penggunaan aplikasi mobile dan web dari Sistem Informasi Patroli Pencegahan Karhutla (SIPP Karhutla) di wilayah Sumatera dan Kalimantan. Metode penelitian mencakup: kajian pustaka secara sistematik kebijakan karhutla di Indonesia., survei lapangan, kuesioner, dan wawancara dengan para pemadam kebakaran di tujuh provinsi di Sumatera dan Kalimantan. Kebijakan terkait karhutla mengalami peningkatan sejak tahun 2014, yang mendorong perbaikan pengendalian karhutla. Aplikasi SIPP Karhutla telah digunakan secara luas di wilayah Sumatera dan Kalimantan. Aplikasi tersebut terbukti menurunkan waktu pencatatan dan pembuatan laporan patroli secara signifikan. Aplikasi ini mendukung kegiatan patroli secara efektif dan efisien. Kata kunci: manajemen kebakaran, Sistem Informasi Patroli Pencegahan Karhutla, polusi kabut asap lintas batas
Model Prediksi Perubahan Tutupan Lahan Pada Area Kebakaran Lahan Gambut Menggunakan Model Cellular Automata Markov Awal, Elsa Elvira; Sukaesih Sitanggang, Imas; Syaufina, Lailan
Jurnal Informatika dan Teknologi Informasi Vol. 1 No. 3: Januari 2023
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jt.v1i3.141

Abstract

During 2016 Riau Province experienced 10,676 hectares of forest and land fires on fire, where Rokan Hilir District was the largest area of forest fires that reach 3,416 hectares. The area of peatlands in Indonesia is currently experiencing degradation because of peatland fires that, result land-use, land-use changes, and forestry. The purpose of this study was to create a prediction model of land cover change in land fire areas using the Cellular Automata Markov model. The Markov Cellular Automata model is used to predict changes in land cover because this model is very suitable to be applied in high-detail spatial phenomena. The results of this study indicate that in the 2000-2003 period is used to predict land cover changes in 2006 due to forest the land fire in March 2002. The results show that plantations has the most significant change, namely 25.36% with a Kappa value of 95.74%. The prediction model of the period 2006-2009 is used to predict land cover changes in 2012 due to forest the land fire in July 2007. The results show that swamp shrub experienced a change of 74.94% with a Kappa value of 93.22%. The prediction model of the period 2014-2016 is used to predict land cover changes in 2018 due to forest the land fire in June 2015. The results show that swamp bushland cover class experienced the most significant reform of 55.07% with a Kappa value of 68.59%. The prediction results from the three periods show good and acceptable results, however the area of land cover as the result of prediction model has quite large difference with the actual land cover. Keywords: cellular automata markov, land fires, peatlands, land-use land-use changes and forestry
Rancangan Sistem Penilaian Kinerja Perpustakaan Berbasis Indikator Kinerja Iso 11620:2008 Pada Layanan Terbuka Perpustakaan Nasional RI Wakhid, Abdul; Sitanggang, Imas Sukaesih; Saleh, Abdul Rahman
Jurnal Pustakawan Indonesia Vol. 14 No. 2 (2015): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (498.411 KB) | DOI: 10.29244/jpi.14.2.%p

Abstract

Library performance measurement is one of a strategy to evaluate utilization of library resources. The objective of this study was to identify indicators needed to measure the performance and to design an counting system measurement at Open Service at National Library of Indonesia.  The measurement indicators were based on ISO 11620:2008 consisting of 45 indicators. It was selected 10 indicators: 1) percentage of required titles in the collection (RTC); 2) shelving accuracy (SA); 3)  staff per capita (LS); 4) collection turnover (CT); 5) loans per capita (LPC); 6) in-library use per capita (IUC); 7) library visits per capita (LVC); 8) percentage of target population reached (PTPR); 9) user satisfaction (AUS); 10)  user services staff as a percentage of total staff (USSPTS).  The indicators were selected through four stages: 1) selecting indicators related to activities in the Indonesia National Library and removing indicators related to activities that are not conducted in the institution; 2) removing indicators related to cost; 3)  identifying and selecting indicators related to vision and mission by the questionnaire; 4) analizing the results of the questionnaire and setting the indicators that have an average value of the results greater than 0 as an  selected indicator. The results of managements attitude that required the a performance counting system. System design was developed based on the system requirements and management’s needs. The system that was able to process data  into information of performance. The system was integrated with the integrated national library system (INLIS) and the data that were not available in INLIS were manually input. Steps of system developing were defining use case, description use case, activity diagram, class diagram, sequence diagram, object role/relational mapping and entity relationship diagram.  Keywords: Information System, ISO 11620, Library, Performance Indicators
Co-Authors -, Rachmawati Abdul Rahman Saleh Abdul Wakhid Aditia Yudhistira Afina, Fakhri Sukma Agus Buono Agus Mulyana Agus Purwito Ahmad Khusaeri Albar, Israr Alusyanti Primawati Anak Agung Istri Sri Wiadnyani Andi Nurkholis Andita Wahyuningtyas Anna Qahhariana Annisa Annisa Annisa Annisa Annisa Awal, Elsa Elvira Aziz Kustiyo Baba Barus Badollahi Mustafa Boedi Tjahjono Bramdito, Vandam Caesariadi Despry Nur Annisa Ahmad, Despry Nur Annisa DEWI APRI ASTUTI Dhani Sulistiyo Wibowo Dini Hayati Dwi Purwantoro Sasongko Eddy Prasetyo Nugroho Efendi, Zuliar Erliza Hambali Febriyanti Bifakhlina Firman Ardiansyah Hardhienata, Medria Kusuma Dewi Hari Agung Adrianto Hasibuan, Lailan Sahrina Hefni Effendi Hendra Rahmawan Hendra Rahmawan Herawan, Yoga Heru Sukoco Hidayat, Assad HUSNUL KHOTIMAH I Nengah Surati Jaya Ikhsan kurniawan Irman Hermadi Istiqomah, Nalar Ivan Maulana Putra Khairani Krisnanto, Ferdian Kurnianto, Andi Lailan Syaufina Lilis Syarifah Luki Abdullah Lukman, Yasmin Marlina, Dwi Medria Kusuma Dewi Hardhienata Miftah Farid Mohammad, Farid mufti, abdul Muhammad Abrar Istiadi Muhammad Asyhar Agmalaro Muhammad Murtadha Ramadhan Nia Kurniati Peggy Antonette Soplantila Prasetyo Nugroho, Eddy Pudji Muljono Purwanti , Endang Yuni Purwanti, Endang Yuni Putra, Fiqhri Mulianda Raden Fityan Hakim Raharja, Aditya Cipta Ramadhan, Jeri Rd. Zainal Frihadian Ridwan Raafi'udin Rina Trisminingsih Risa Intan Komaraasih Rizki, Yoze Safrudin, Muhammad Safrul Sakti, Harry Hardian Satyawan, Verda Emmelinda Shelvie Nidya Neyman Sobir Sobir Sonita Veronica Br Barus Sonita Veronica Br Barus Sony Hartono Wijaya Suci Indrawati Irwan Sulistyo Basuki Suradiradja, Kahfi Heryandi Suria Darma Tarigan Surjono Hadi Sutjahjo Syarifah Aini Taihuttu, Helda Yunita Taufik Djatna Taufik Hidayat Tenda, Edwin Tiurma Lumban Gaol Toto Haryanto Trisminingsih, Rina Unik, Mitra Wa Ode Rahma Agus Udaya Manarfa Wattimena, Emanuella M C Wisnu Ananta Kusuma Wulandari WULANDARI Yenni Puspitasari Yoanda, Sely