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All Journal Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Mantik Penusa Cetta: Jurnal Ilmu Pendidikan Jurnal Teknik Informatika UNIKA Santo Thomas JIPN (Journal of Informatics Pelita Nusantara) Jurnal Nasional Komputasi dan Teknologi Informasi JURIKOM (Jurnal Riset Komputer) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM JUKI : Jurnal Komputer dan Informatika BERNAS: Jurnal Pengabdian Kepada Masyarakat Login : Jurnal Teknologi Komputer MEANS (Media Informasi Analisa dan Sistem) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Media Informatika Jurnal Info Sains : Informatika dan Sains DISTANCE: Journal of Data Science, Technology, and Computer Science Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Ulead : Jurnal E-pengabdian Jurnal Pendidikan LLDIKTI Wilayah I (JUDIK) Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) Jurnal Komputer Indonesia (JU-KOMI) Pengabdian Kepada Masyarakat Indonesia SEAN (ABDIMAS SEAN) Jurnal Teknik Indonesia (JU-TI) "Journal of Data Science Journal Majelis Paspama
Hasugian , Paska Marto
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Journal : Jurnal Mantik

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Village Status Grouping Analysis Using Agglomerative Hierarchical Clustering (AHC): Village Status Grouping Analysis Using Agglomerative Hierarchical Clustering (AHC) Paska Marto Hasugian
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.878.pp950-955

Abstract

increasing the standard of living of the community, both materially and spiritually. Careful development planning can create a development that is right on target. One of the supporting aspects of development planning is the availability of detailed data at the smallest area level. Information to the smallest area can be used as a guide in making policies that are more targeted. The village as a government that is directly in contact with the community is the main focus in government development, this is because most of Indonesia's territory is in rural areas which are directly under the auspices of the PDTT Ministry (Ministry of Villages, Disadvantaged Village Development, and Transmigration), to carry out their duties and The responsibility for village development has been assessed in establishing a village classification based on the building village index to convert an underdeveloped village into a developed or independent village which is assessed based on certain sectors through a very long and certainly sustainable process. Determination of classification is based on the village index value build (IDM) based on the average Ecological Resilience Index (IKL), Economic Resilience Index (IKE), and Social Resilience Index (IKS). From the IDM value, the villages will be classified in the status of villages namely independent villages, Advanced, Developing, Underdeveloped, and Very Underdeveloped
Frequent Pattern Growth for Predicting the Pattern of Office Stationery Needs Paska Marto Hasugian; Fenius Halawa; Dharma Rajen Kartighaiyab
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

One of the supporters of operational activities from the agency is ATK (Office Stationery), work will be constrained if these components are not available, as well as STMIK Pelita Nusantara requires ATK to be used every day starting from study programs, institutions, finance and other units. The problem in this research is that the accumulation of ATK purchase data has never been used or analyzed. With this problem, the researcher wants to perform an extraction on the available data so that knowledge is found in the form of predictions in the form of patterns of ATK needs. For the problem solving process, Frequent Pattern-Growth (FP-Growth) is used. FP-Growth is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The FP-Growth algorithm is an algorithm that is very efficient in searching for frequent itemset. FP-Growth uses a different approach from the algorithm that is often used, namely the a priori algorithm. This algorithm stores information about frequent itemset in the form of FP-Tree. The FP-Tree that is formed can take advantage of transaction data that has the same item so that it can reduce repeated database scans in the mining process and can take place more quickly. FP-Growth uses a different approach from the algorithm that is often used, namely the a priori algorithm. This algorithm stores information about frequent itemset in the form of FP-Tree. The FP-Tree that is formed can take advantage of transaction data that has the same item so that it can reduce repeated database scans in the mining process and can take place more quickly. FP-Growth uses a different approach from the algorithm that is often used, namely the a priori algorithm. This algorithm stores information about frequent itemset in the form of FP-Tree. The FP-Tree that is formed can take advantage of transaction data that has the same item so that it can reduce repeated database scans in the mining process and can take place more quickly..
Co-Authors Agustinus Parmazatule Laia Al Hashim, Safa Ayoub Alex Rikki Amran Manalu Angelia M Manurung Anju Eliarsyam Lubis Annas Prasetio Arvind Roy Baehaqi Batubara, Muhammad Iqbal Betti Mastaria Br Sembiring Bobby Aris Sandy Bosker Sinaga Bosker Sinaga, Bosker Sinaga Br Ginting, Anirma Kandida Br Sembiring, Betti Mastaria Butarbutar, Della Novita Cinthya Agatha Sinaga Damianus Daha Devlin Iskandar Saragih Dewi Lasmiana Panjaitan Dharma Rajen Kartighaiyab Dharma Rajen Kartighaiyan Efendi, Syahril Emma Romasta Naulina Nainggolan Endang Utari Endra A.P Marpaung Fenius Halawa Ferdiansyah, Rahmat Fristi Riandari Fristy Riandari Giawa, Martinus Hanum, Rahmadiah Harefa, Ade May Luky Harpingka Sibarani Hasugian, Penda Sudarto Hengki Tamando Sihotang Herman Mawengkang Hidayati, Wenika Hutahaean, Harvei Desmon Hutahaean, Harvei Desmon Insan Taufik Ira Mayang Sari Jijon R. Sagala Jijon R. Sagala Jijon Raphita Sagala John Foster Marpaung Kristian Siregar Logaraj Logaraj Logaraj, Logaraj Logaraz Logaraz Lubis, Anju Eliarsyam Makmur Tarigan Manurung, Jonson Maria Clodia Purba Martinus Giawa Maya Theresia Br. Barus MIFTAHUL JANNAH Nababan, Adli Abdillah Nababan, Widia Wuduri C.S Nainggolan, Emma Romasta Naulina Nainggolan, Herlina Br NASUTION, ATIKA AINI Ndruru, Risnamawati Nera Mayana Br.Tarigan Nico Setiawan Nurayni Sinabang Pandi Barita Nauli Simangunsung Penda Sudarto Hasugian Penda Sudarto Hasugian Poltak Sihombing Prawita Ardella R. Mahdalena Simanjorang Rahmat Ferdiansyah Riana Risnamawati Ndruru Ritha Zahara Tarigan Rizki Manullang Romanus Damanik Romauli Sianipar Sandy, Bobby Aris Sethu Ramen Sethu Ramen, Sethu Ramen Setiawan, Nico Siagian, Novriadi Antonius Sihotang, Jonhariono Sijabat, Petti Indrayati Simamora, Siska Simangunsong, Pandi Barita Nauli Sinaga, Cinthya Agatha sinaga, lotar mateus Sinaga, Sony Bahagia Sinaga, Sony Bahagia Sinta Novianti, Sinta Sipayung, Sardo Sipayung, Sardo Pardingotan Siregar, Vanessa Sitanggang, Sarinah Situmorang, Caesar Juanda Theodorus Sri Wahyuni TONNI LIMBONG Uzitha Ram Vanessa Siregar Venentius Purba Vina Winda Sari Wenika Hidayati Widia Putri Yosapat Sembiring Yuda Perwira Yusi Tri Utari Panggabean