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All Journal Spektrum Hukum Pendas : Jurnah Ilmiah Pendidikan Dasar KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) LEGAL BRIEF MEANS (Media Informasi Analisa dan Sistem) Journal of Social Responsibility Projects by Higher Education Forum Fox Justi : Jurnal Ilmu Hukum Jurnal IPTEK Bagi Masyarakat Jurnal ABDIMAS Budi Darma Bulletin of Data Science Jurnal Masyarakat Indonesia JUDGE: Jurnal Hukum ORAHUA : Jurnal Pengabdian Kepada Masyarakat Literacy: Journal of Education and Social Science
Hutabarat, Sumiaty Adelina
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Journal : KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)

 1 
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PEMBANGUNAN DAERAH MENERAPKAN METODE PREFERENCE SELECTION INDEX (PSI) Siahaan, Martina Klarasia; Mesran, Mesran; Hutabarat, Sumiaty Adelina; Afriany, Joli
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.961

Abstract

This study aims to determine development priorities in 2018 Kota Medan District covering planning, use and evaluation of village development. This study uses qualitative research, with a case study strategy. The technique of collecting data is done by interviews, observation and documentation. Test the validity of data by triangulating data sources and data collection techniques. Data analysis uses determination techniques through data collection, data reduction, data presentation and conclusion. Evaluations for the Village Fund for 2017 include constraints faced during the implementation of development and allocation of village funds such as a lack of sense of responsibility between village officials in managing village funds, people who care about development are still few, and there is a lack of meetings to deliver information on village fund allocation to the community. The decision support system for determining village development priorities has stages, starting from selecting criteria, aspects to assessments that have been set, decision making difficulties in determining priorities and calculating weights. Related to this, the Preference Selection Index (PSI) method can be used to solve the problem. The results of the process are in the form of village rankings as a recommendation for decision making to choose as suitable occupies the designated fields. The results of the system supplementation, it was concluded that the use of this method can help the process of making prioritization of development, can be studied, quite easy to use, and produce information used.Keywords: Decision Support System, Development Priority, PSI
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PEMBANGUNAN DAERAH MENERAPKAN METODE PREFERENCE SELECTION INDEX (PSI) Siahaan, Martina Klarasia; Mesran, Mesran; Hutabarat, Sumiaty Adelina; Afriany, Joli
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.961

Abstract

This study aims to determine development priorities in 2018 Kota Medan District covering planning, use and evaluation of village development. This study uses qualitative research, with a case study strategy. The technique of collecting data is done by interviews, observation and documentation. Test the validity of data by triangulating data sources and data collection techniques. Data analysis uses determination techniques through data collection, data reduction, data presentation and conclusion. Evaluations for the Village Fund for 2017 include constraints faced during the implementation of development and allocation of village funds such as a lack of sense of responsibility between village officials in managing village funds, people who care about development are still few, and there is a lack of meetings to deliver information on village fund allocation to the community. The decision support system for determining village development priorities has stages, starting from selecting criteria, aspects to assessments that have been set, decision making difficulties in determining priorities and calculating weights. Related to this, the Preference Selection Index (PSI) method can be used to solve the problem. The results of the process are in the form of village rankings as a recommendation for decision making to choose as suitable occupies the designated fields. The results of the system supplementation, it was concluded that the use of this method can help the process of making prioritization of development, can be studied, quite easy to use, and produce information used.Keywords: Decision Support System, Development Priority, PSI
Algoritma Clustering K-Nearest Neighbor Dalam Pengelompokan Masyarakat Kecamatan Medan Area Berdasarkan Tingkat Ekonomi Keluarga Rizky Meliani Astri Hasibuan; Efori Bu’ulolo; Sumiaty Adelina Hutabarat
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5756

Abstract

An economy that is constantly changing and developing may result in increased economic difficulties. Current economic developments have decreased to 4.79, causing poverty in Indonesia to increase. To see the condition of the people's economy, it is necessary to collect detailed data so that people with a lower economy get assistance. The problems faced in this study are data collection and classification of the economic level of the population. The process is not very efficient because it is done manually. Classification procedures will only be carried out when necessary. Controlling the welfare of the population has not been carried out in detail. To overcome these problems, we need a system so that the grouping of people who have a classification from high to low economic level. This study uses the K-NN Clustring Algorithm which requires information training to classify objects that are very close. In the last process the Clustring K-NN algorithm is a method for calculating the ratio of old data to updated information. As well as looking for the highest data occurrence value that will be used as a reference as a result.
Sistem Pendukung Keputusan Rekomendasi Penerimaan Bantuan Kartu Indonesia Pintar Dengan Menerapkan Metode Maut Dan Pembobotan Dengan Menggunakan Metode Roc Pada Sekolah Yapim Taruna Medan Rizka Rahayu Pasaribu; Muhammad Syahrizal; Sumiaty Adelina Hutabarat
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5805

Abstract

The Smart Indonesia Card is the provision of educational cash assistance to children aged 6-21 years or who come from underprivileged families with the aim of continuing their education. Yapim Taruna Medan High School is one of the private schools in the city of Medan. This school provides Smart Indonesia Card scholarship assistance (KIP) where KIP scholarships are intended for underprivileged students and the number of KIP recipients is also limited based on the quota given, which is faced by the Yapim Taruna Medan High School in determining who is who. those who get KIP scholarships are less objective and transparent. Many students whose parents have a very difficult economy do not get KIP scholarships while some students who get KIP scholarships have parents who are above the economy who do not get the scholarship. So that to overcome this problem a Decision Support System for Recommendations for Accepting Indonesian Smart Card assistance is needed by applying the MAUT Method and Weighting Using the ROC Method at the Medan Yapim Taruna School.
Co-Authors Afriany, Joli Anda Yanny Efori Buulolo Hery Sunandar Hutagalung, Siti Nur Habibah Hutagalung, Siti Nurhabibah Imam Saputra Kurniawan, Dodi Melda Panjaitan Mesran, Mesran Muhammad Syahrizal Ndruru, Eferoni Nur Aini Panjaitan, Melda Parinduri, Ikhsan Ritonga, Fitri Sarmaito Rizka Rahayu Pasaribu Rizky Meliani Astri Hasibuan Ronda Deli Sianturi Sembiring, Abdul Sani Siahaan, Martina Klarasia Siburian, Henry Kristian Simanjuntak, Nurul Asmidar Sinurat, Sinar Siti Nurhabibah Hutagalung Sitohang, Norenta Tiambun Romauli Silalahi Wibisono, Yogi