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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

Author-ID : 382447

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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Pendeteksian Penjiplakan Kode Program C dengan Menggunakan Algoritme K-Medoids Raden Fityan Hakim; Imas Sukaesih Sitanggang
Jurnal Ilmu Komputer & Agri-Informatika Vol. 7 No. 2 (2020)
Publisher : Departemen Ilmu Komputer - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.7.2.74-83

Pada era globalisasi ini, aksi penjiplakan lebih sering dan lebih mudah dilakukan, termasuk penjiplakan terhadap kode program. Pendeteksian manual terhadap aksi penjiplakan memakan banyak waktu maupun tenaga. Oleh karena itu, dibutuhkan sistem yang dapat membantu proses pendeteksian. Pendeteksian dapat dilakukan dengan mengelompokkan kode-kode program yang mirip berdasarkan struktur kode program. Penelitian ini bertujuan untuk menerapkan algoritme K-Medoids pada 4 buah dataset kode program C dan menganalisis hasil pengelompokan yang diperoleh. Hasil percobaan menunjukkan bahwa clustering terbaik pada dataset 1 (Kondisi If-Else dan Pengulangan While) diperoleh pada k (jumlah cluster) 10 dengan rataan dissimilarity 2.655, dimana 18.9% tugas mahasiswa memiliki kelompok yang sama. Pada dataset 2 (Pengulangan While), clustering terbaik diperoleh pada k = 9 dengan rataan dissimilarity 2.227, dimana 32.6% tugas mahasiswa memiliki kelompok yang sama. Untuk dataset 3 (Pengulangan For Bersarang dan Kondisi If), tugas mahasiswa terbagi menjadi dua buah cluster dengan rataan dissimilarity 0.719, dimana 87% tugas mahasiswa berada pada cluster yang sama. Hasil clustering terbaik pada dataset 4 (Kondisi If-Else dan Pengulangan For) diperoleh pada k = 6 dengan rataan dissimilarity 3.199, dimana 61% tugas mahasiswa berada pada kelompok yang sama. Kata Kunci: clustering, K-medoids, N-gram, pendeteksian penjiplakan, program C.

Analisis Usabilitas Sistem Informasi Manajemen Penerimaan Koleksi Deposit Di Perpusnas Berdasarkan Pendekatan Evaluasi Heuristik Suci Indrawati Irwan; Imas Sukaesih Sitanggang; Badollahi Mustafa
Jurnal Pustakawan Indonesia Vol. 14 No. 1 (2015): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Acquisition Management of Deposit Collection Information System in Indonesia National Library has been used for 3 years (since January 2012). During the usage, the Group of Acquisition, Monitoring, and Evaluation of Deposit Sub Directorate found some obstacles include the unability of the system to detect double regist, a monotone display, too many menus and too many pages to get through before going to the desired page, the information resulted is not according to what needed, and the exsistance of backward analysis system which should be passed by a system when it has already been used. The data collection of this research used quessionaires which were spread among 17 system users that are the members Group of Acquisition, Monitoring, and Evaluation of Deposit Sub Directorate. The data analysis used student statistic examination of one sample. The result of the study was the need of improvement about SIM of Deposit Collection Acquisition of Indonesia National Library related to the usability of the system to fulfill the usability elements, and the repairment recommendation belong to the categories of: Learnability, improvement of response for fasten of data searching by query optimization involving related tables of data required and indexing based on the tag ID and repair on the arranging and the use of features to be adjusted with the needs of users based on their user ID and position authority. Efficiency, improvement of response for fasten the response of data searching by query optimization involving related tables of data required and indexing based on the tag ID and addition to be able to copy and modify existing data and increase the ability of the system that the function keys in the keyboard can be use in using the system. Easy to remember, the addition of the ability of the system that the keyboard function keys can be use in using the system. Error prevention, repair system's ability to identify errors and provide a message box or sign acclamation sign of error message containing an error message when the user made a mistake and adding dictionary menu associated with the terminology in the search box to avoid mistakes in typing. Satisfying, adding help menu that can provide guidance and can be followed when finding problem that help users to solve a problemKeywords : Heuristic Evaluation, Management Information System, Usability

Studi Kelayakan Pengembangan Repositori Institusi Pada Institut Teknologi Del Tiurma Lumban Gaol; Irman Hermadi; Imas Sukaesih Sitanggang
Jurnal Pustakawan Indonesia Vol. 15 No. 1-2 (2016): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Institutional repository is an essential part functioning as a storage for keeping the collection of publication digitally. Del Institute of Technology (ITD) has its own collection of institutional publication but it does not have institutional repository. Before developing the application, it is essential that a feasibility study be conducted in order to ensure the development of ITD's application will run well. Feasibility study is conducted through first phase of knowledge management system life cycle and the model is IPB institutional repository. Based on the analysis of the feasibility of the ITD infrastructure percentages obtained in building institutional repository is 51.96%. The percentage is derived from the percentage of the value of the following eligibility is infrastructure (21.44%), human resources (14.33%), Budget (0%), Rules / SOP / SK (3,40%) and Content (12.79%). Based on the results of the study referred to the several things that need to be addressed in the effort to develop the institutional repository ITD and refer to the model repository development in IPB is to provide the infrastructure that is software as a tool for transferring media content repository, making decree team, create a SOP for digital documents and the handover of the scientific work of the academic community ITD. Keywords: Feasibility Study, Institutional Repository, Knowledge Management Systems

FACEBOOK DAN PORTAL BOLA.COM: KAJIAN ALTMETIRCS Facebook and Portal Bola.com: Altmetrics Review Febriyanti Bifakhlina; Imas Sukaesih Sitanggang; Sulistyo Basuki
Jurnal Pustakawan Indonesia Vol. 16 No. 1 (2017): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

AbstractInformation is disseminated to society through the media. Altmetrics is a new study on measurement based on social media utilization in the process of analyzing and informing an article. Most of the studies that use Altmetrics as a measuring tool are studies on scientific publication. This study applied the Altmetrics approach to study the performance of the news website Bola.com. The purpose of this study is to perform an analysis based on Facebook data share to know the popularity of Bola.com website and analyze correlation between Altmetrics Facebook data and pageview of website Bola.com. This study calculated coverage of Facebook for news published on January – May 2016. The result shows that coverage analysis of Facebook in April increased compared toother months. The result also shows that the correlation between Altmetrics Facebook data and pageview is 0.5 that means moderatecorrelation. Most correlations analyzed are positive which means the relationship between content shared on Facebook has a positiverelationship with pageviews produced by Bola.com.Keywords: Altmetrics, Facebook, Social Media, Website Bola.com

ANALISIS BIBLIOMETRIKA MENGGUNAKAN HUKUM LOTKA PADA PRODUKTIVITAS PENULIS ARTIKEL BIDANG PERTANIAN DI INDONESIA Peggy Antonette Soplantila; Imas Sukaesih Sitanggang; Sulistyo Basuki
Jurnal Pustakawan Indonesia Vol. 16 No. 1 (2017): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

AbstractThe purpose of this research is to know the author's productivity pattern of article in the field of agriculture in Indonesia 2006-2015 using Lotka’s Law. The data of this research were taken from national journal accredited by the Ministry of Research, Technology and Higher Education which can be accessed from http://www.kopertis12.or.id. From 2006-2015, it is found that there are 2650 authors and 4141 articles on Agriculture. Assessment author’s participation was done by using ‘straight count’.The Lotka theoretical value use the formula of yx=C/xn.. C is a constant and n is exponent. Based on the calculation with Lotka’s law, it is found that C=0.80773 and n= 2.81500. The result shows that the percentage of the authors giving contribution to 1 article is 80.77%. Test of Kolmogorov-Smirnov results shows that the maximum deviation is 0.08396 with critical value (with α = 0.05) 0.02642, it shows that the maximum deviation is bigger than critical value. Therefore, the null hypothesis is rejected and concluded that the dataset does not follow Lotka’s law (there is a significant difference between the Lotka’s law theoretic distribution and the distribution of article author in the field of Agriculture). Keywords: Agriculture Science, Author Productivity, Bibliometrics, Lotka Law

Mobile Application for Data Acquisition in Integrated Forest and Land Fires Patrols Dhani Sulistiyo Wibowo; Imas Sukaesih Sitanggang; Ikhsan Kurniawan; Wulandari
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 4 (2021): Journal of Natural Resources and Environmental Management
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.4.653-661

Hotspot is one of the indicators of forest and land fires which is usually checked in the field through an integrated patrol program by a team formed by the Ministry of Environment and Forestry (KLHK). The findings from these patrol activities are usually reported through texts posted in the chat group media using the WhatsApp application. This method is, however, considered ineffective in presenting information queries from the patrol data. Therefore, this research aims to develop a mobile application to record data retrieved during forest and land fire patrols in the Sumatra region. The prototyping system development method was applied and this includes analyzing the needs of the user, designing and modeling the prototype, coding the system, testing the system, and system usage. Moreover, the Ionic 3 framework was employed in the system development through the application of the API from the back-end module. The application was integrated into the Google Maps Application Programming Interface (API) and the system was tested using the Blackbox method to show the features in the system function effectively.

Optimalisasi model prediksi kesesuaian lahan kelapa sawit menggunakan algoritme pohon keputusan spasial Andi Nurkholis; Imas Sukaesih Sitanggang
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 3, Year 2020 (July 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Land suitability evaluation has a vital role in land use planning aimed to increase food production effectiveness. Palm oil is a leading and strategic commodity for Indonesian people, which is predicted consumption will exceed production in the future. This study aims to evaluate palm oil land suitability using a spatial decision tree algorithm that is conventional decision tree modification for spatial data classification with adding spatial join relation. The spatial dataset consists of eight explanatory layers (soil nature and characteristics), and a target layer (palm oil land suitability) in Bogor District, Indonesia. This study produced three models, where the best model was obtained based on optimizing accuracy (98.18 %) and modeling time (1.291 seconds). The best model has 23 rules, soil texture as the root node, two variables (drainage and cation exchange capacity) are uninvolved, with land suitability visualization obtains percentage S2 (29.94 %), S3 (53.16 %), N (16.57 %), and water body (0.33 %).

Sentinel-1A image classification for identification of garlic plants using decision tree and convolutional neural network Risa Intan Komaraasih; Imas Sukaesih Sitanggang; Annisa Annisa; Muhammad Asyhar Agmalaro
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

The Indonesian government launched a garlic self-sufficiency program by 2033 to reduce imports by monitoring garlic lands in several central garlic areas. Remote sensing using satellite imageries can assist the monitoring program by mapping the garlic lands. A previous study has classified Sentinel-1A satellite imageries to identify garlic lands in Sembalun Lombok Indonesia using the decision tree C5.0 algorithm with three scenarios data input and produced a model with an accuracy of 78.45% using scenarios with two attributes vertical-vertical (VV) and vertical-horizontal (VH) bands. Therefore, this study aims to improve the accuracy of the classification model from the previous study. This study applied two classification algorithms, decision tree C5.0 and convolutional neural network (CNN), with two new scenarios which used two new combinations of attributes). The results show that the use of new data scenarios as input for C5.0 can not increase the previous model's accuracy. While the use of the CNN algorithm shows that it can improve the previous study's accuracy by 7.91% because it produced a model with an accuracy of 86.36%. This study is expected to help garlic land identification in the Sembalun area to support government programs in monitoring garlic lands.

Correlation of Diabetes Mellitus and Cellular Components using Fuzzy K-Partite Wa Ode Rahma Agus Udaya Manarfa; Wisnu Ananta Kusuma; Imas Sukaesih Sitanggang
Nusantara Science and Technology Proceedings 2nd Basic and Applied Science Conference (BASC) 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2509

PPI clustering is one of the computational methods to identify proteins that affect type 2 diabetes mellitus. One of the graph-based fuzzy clustering algorithms, namely fuzzy k-partite clustering was built to solve the problem of biological network data that has more than one function and is present in more than one cluster. which may have overlapping cluster members. A previous study analyzed the mechanism of herbal medicine using the fuzzy k-partite graph clustering method, it was found that there are three groups of proteins that have the same role in overcoming type 2 DM. in the form of backbone tissue (GO-protein). The stages in this research are type 2 DM protein data, search for significant MCL clustering proteins, mining of cellular components in the Uniprot web database, adjacency matrix construction, bipartite network formation with Fuzzy k-Partite Clustering and cluster analysis. This shows that the output of using the algorithm is a network that can provide information on biological processes in type 2 DM. If the weight of the relationship between clusters is high, it can be ascertained that the value of the degree of membership in the cluster is low and there are few cluster members. Conversely, if the weight of the relationship between clusters is low, the degree of cluster membership is high and there are many cluster members. In other words, the value of the degree of membership resulting from the application of this algorithm is inversely proportional to the value of the connectivity between clusters.

Pengembangan Modul Otomatisasi Pengunduhan Citra Sentinel-1A Berbasis Web Menggunakan Metode Prototyping Muhammad Asyhar Agmalaro; Imas Sukaesih Sitanggang; Taufik Hidayat
Jurnal Ilmu Komputer dan Agri-Informatika Vol 9 No 2 (2022)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.9.2.137-148

Sentinel-1A imagery can be used for various purposes, such as surveys and agricultural land use mapping. For example, Sentinel-1A image can be used to carry out land processing and validate crop yields from horticultural crops such as garlic. However, the acquisition and download of Sentinel images are currently done manually with several stages, so it still needs to be more effective and efficient. Therefore, an alternative way to support the acquisition of sentinel data is necessary by optimizing the process of automating the download of Sentinel data. This study aims to build a front-end module to automate the downloading of web-based Sentinel image data using the Django Framework. The prototyping method is used to develop a front-end module for Sentinel image download automation. This method was chosen based on its advantages in getting feedback from each user from every iteration carried out so that improvements can be made quickly according to user needs. The result of this research is an automated system for downloading Sentinel-1A images that can download Sentinel image data via maps or by validating geoJson data entered by the user. The development of this system is carried out in two iterations. All functions in the developed module were successfully performed in black box testing without showing any errors.

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

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