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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Manajemen Informatika Jayakarta El-Mujtama: Jurnal Pengabdian Masyarakat Bulletin of Multi-Disciplinary Science and Applied Technology Journal of Information Systems and Technology Research Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI International Journal of Health, Engineering and Technology Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Saturnus: Jurnal Teknologi dan Sistem Informasi

Sihombing, Anton

STMIK KAPUTAMA

Author-ID : 2546415

Religion Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Application of the K-Means Method for Clustering Land and Building Tax Payments Based on Tax Types (Case Study: BPKPAD Binjai City) Riski Ramadhansyah; Akim Manaor Hara Pardede; Anton Sihombing
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Land and Building Tax or abbreviated as PBB is a fee that must be paid for the existence of land and buildings owned by the community or residents. The determination of PBB in Binjai City is based on the application of the Land Value Zone (ZNT) which is close to the market price, which will be able to create equitable development throughout Binjai City. BPKPAD (Regional Revenue and Assets Financial Management Agency) Binjai City is a government agency that receives PBB payments from the community. Data - data on PBB payments for the people of Binjai City have been stored in an existing system and every year it will continue to increase so that it will cause data accumulation in the land and building tax archives. A data processing system is needed to manage these data, one of which can be done with data mining which can process piles of data into useful information and can be utilized by grouping PBB data based on criteria. Clustering is a method in data mining that can be used to automatically detect clusters of adjacent records that have a certain definition in all variables. K-Means algorithm is a simple algorithm to classify or group a large number of objects with certain attributes into groups (clusters). So that this system can be used as input for the Binjai City BPKPAD in finding solutions to increase regional income from PBB payments.

Clustering of Customer Complaints from PDAM Kota Binjai Using the K-Means Method Lailatul Magfiroh; Hermansyah Sembiring; Anton Sihombing
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

PDAM Tirtasari Binjai City is a public service institution that has a monopoly on water supply in Binjai City. The predicate as a metropolitan city, illustrates that Binjai City is a city with dense industry and trade. In this study, discusses how to handle customer complaints of PDAM Binjai City to provide satisfaction to customers. The research method used in this study is K-Means which aims to describe the quality of service for handling customer complaints at PDAM Kota Binjai in increasing customer satisfaction. The informant determination technique carried out by the researcher is using the Clustering K-Means method.

Optimization Of Learning Scheduling Using Linear Regression Naufal Falaah Nduru; Akim M.H Pardede; Anton Sihombing
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Scheduling is a process, method, manufacture, or schedule to be included in the schedule (KBBI). Scheduling that is needed in general and that occurs at one point of education in making study schedules requires various supporting factors from the division of teacher tasks. Based on this, efforts to facilitate learning schedules are made to optimize an activity so as to increase productivity and effectiveness.To carry out learning activities that are carried out conventionally and for a long time, teachers who have teaching schedules in two or more different classrooms at the same time must be revised by changing their respective schedules or reducing the hours that occur as guided by the teacher. At SD S Muhammadiyah Sambirejo, which is a school located in Sambirejo Village, Binjai District, Langkat Regency, and has several educators and educational staff at this school, I focus on the case study of learning scheduling, so that teaching and learning activities in a school must pay attention to the learning schedule and avoid clashes. This makes it easier to prepare a study schedule. The method used is linear regression as an optimization of learning scheduling. The results of testing the linear regression method in optimizing learning scheduling using linear regression with a total of 10 forecasting data as analysis and determining the forecasting result value of 2.0063334474495 obtained data results with the number of conflicting hours.

Co-Authors ., Novriyenni ACHMAD FAUZI Achmad Fauzi Adelia Ramadani Agung Aulia Tama Ahmad Fauzi Ahmad Nawawi Ambarita, Indah Andriansyah, M Juli Angel, Kiki Astari, Rizki Yulidha Astrika, Rahayu Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Clara Rosa Wijaya Desty Dwi Putri Dewi, Sintia Dhea Agustina Akmal Dhea Alfiya Ningsih Dini Syahfitri Fauzi, Achmad Fitri Handayani Fuji Dodo Aritonang Ginting, Budi Serasi Hana Niska Tafonao Hermansyah Sembiring Hotler Manurung Ihsan Wibowo Zakti Indah Malasari Julia Br Sembiring Kadim, Lina Arliana Nur Khair, Husnul Kiki Angel Kiki Angel Lailatul Magfiroh M Agung Hidayat Magdalena Simanjuntak Marto Sihombing Marto Sihombing Mhd Ferdiansyah Putra Natalia Sianturi, Ruth Naufal Falaah Nduru Novriyenni Novriyenni Novriyenni, Novriyenni Novriyenni, Novriyenni Pardede, Akim Manaor Hara Rahmat Ramadhan Ramadani, Suci Ratna Cantika Riski Ramadhansyah Risna Serviya Rizki Yulidha Astari Rusmin Saragih, Rusmin Serasi Ginting, Budi Serviya, Risna Shelly Maulia Sihombing, Marto Sirait, Suprianto Suci Rahmadani suci ramadani Suci Ramadhani, Suci Supri Anto Sirait Suprianto Sirait Syahputri, Heni Tasya Maysarah Br. Sembiring Tasya Maysarah Sembiring Triono, Arif Yani Maulita

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