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All Journal Jurnal Media Infotama METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Abdi Ilmu Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer MEANS (Media Informasi Analisa dan Sistem) Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal Of Information And Technology Unimor (JITU) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Jurnal Widya Bulletin of Multi-Disciplinary Science and Applied Technology Journal of Computer Science and Informatics Engineering Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Pengabdian Pada Masyarakat METHABDI International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Nusantara Journal of Multidisciplinary Science Jurnal Penelitian Teknologi Informasi dan Sains Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Pascal: Journal of Computer Science and Informatics
Yani Maulita
STMIK Kaputama
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Pemamfaatan Metode Clustering Pada Nasabah Peminjaman Modal (Studi Kasus: PT. Faderal International Finance Binjai) Wildan Yuanda Malik Sembiring; Yani Maulita; Suci Ramadani
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.191

Abstract

Peminjaman modal merupakan transaksi tersepakati dari dua belah pihak bermaksud meminjan uang/dana kepada seseorang atau badan usaha peminjaman. PT. Faderal International Finance Binjai sebagai salah satu satu badan usaha yang bergerak di bidang keuangan atau jasa keuangan yang menyediakan peminjaman modal dengan menjaminkan surat berhaga sebagai penjamin Dalam rekapitulasi data nasabah dalam pengelompokkan nasabah untuk mengetahui jumlah nasabah dalam peminjaman modal sering dilakukan secara komputerisasi bahkan manual yang mengakibatkan sulit dalam pengelompokkan dan mengetahui jumlah nasabah. Pada penelitian ini dalam Pemamfaatan Pada Nasabah Peminjaman Modal menggunakan metode clustering dalam nilai yang di hasilkan menggunakan program mendapatkan hasil yang berbeda - beda pada penggunaan cluster 2 dan cluster 3. maka dapat di simpulkan penggunaan metode clustering mampu mengelompokkan data nasabah peminjaman modal di PT. Faderal International Finance Binjai.
Use of Case Based Reasoning (CBR) Methods to Diagnosis Diseases in Pregnancy Fadilah, Nurul Elsa; Yani Maulita; Husnul Khair
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.292

Abstract

Diseases in pregnant women are diseases that many people need to pay attention to, because diseases that occur in pregnant women will not only endanger one life, but more than that. Hypertension currently occupies the 2nd position as a type of disease that threatens the lives of many pregnant women. The application of Case Based Reasoning (CBR) in diagnosing diseases that occur during pregnancy is motivated by the difficulty of consulting an obstetrician due to costs, time or even the limited number of doctors in a hospital. The use of CBR aims to solve new problems by adapting solutions to problems that occurred before. The expert system itself is one of the solutions to solve problems faced by users in the health sector, this system can minimize costs incurred to consult about diseases in pregnancy to specialist doctors. "Use of Case Base Reasoning (CBR) to Diagnose Diseases in Pregnancy" is expected to help the general public, especially pregnant women, make a simple diagnosis of symptoms and diseases in pregnancy.
Identifikasi Tingkat Kepuasan Pengunjung Wisata Menggunakan Metode Naive Bayes Fisyanda Yusmalizar; Yani Maulita; Suci Ramadani
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

One way to implement development in all these fields is through development in the tourism sector, namely by developing and utilizing existing tourism resources and potential. To support government programs in developing tourist objects, especially in Bukit Lawang, it is necessary to pay attention to the level of satisfaction of tourist visitors visiting Bukit Lawang. To measure the level of satisfaction with tourist visitors, of course, parameters or assessment criteria will be used starting from road access to tourist attractions to cottage facilities. Measuring the level of satisfaction is usually done manually, namely by distributing or conducting surveys of visitors. If only questions are asked without any stored data, of course the Tourism Office will have difficulty measuring or evaluating the level of tourist visitor satisfaction, because it does not have sufficient data. For this reason, it is necessary to build a system that can assist the Langkat Regency Tourism Office in identifying the level of visitor satisfaction at Bukit Lawang. With this system, of course the Department will find it easier to evaluate and identify the level of visitor satisfaction quickly and precisely. So that all deficiencies to visitor satisfaction can be resolved quickly. To measure the level of satisfaction required a method that can measure the level of satisfaction precisely, one of the methods used is Naive Bayes. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by summing the frequencies and combinations of values from a given dataset. Based on the results of trials that have been carried out in this study, results are obtained based on the 20 data used with the results of 17 TRUE data and 3 FALSE data, with an accuracy value of 65%.
Penentuan Calon Penerima Program Keluarga Harapan (PKH) Dengan Metode Analytical Hierarchy Process (AHP) Agi Kakana Bangun; Yani Maulita; Suci Ramadani
Bulletin of Multi-Disciplinary Science and Applied Technology Vol 2 No 5 (2023): Agustus 2023
Publisher : Forum Kerja Sama Penddikan Tinggi (FKPT)

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Abstract

Poverty is a situation where there is a lack of ordinary things to have such as food, clothing, shelter and drinking water. Poverty sometimes also means a lack of access to education and employment that can overcome the problem of poverty and gain the respect one deserves as a citizen. Poverty itself in developing countries is quite a complicated problem even though several developing countries have succeeded in implementing development in terms of production and national income. One of the government's social assistance-based programs is the Family Hope Program (PKH). To overcome the above problems, it is necessary to build a system that can make it easier for Kuala District, Langkat Regency to make decisions about recipients of PKH assistance. To support accuracy in building a decision-making system, a method is needed that is capable of making the right decisions based on predetermined criteria. In this research, the method used is AHP. Analytic Hierarchy Process (AHP) is a structured method for managing and analyzing complex decisions using mathematical and psychological concepts. The AHP method helps in determining the priority weight of each parameter that is taken into consideration in making decisions. Based on the value of importance of criteria and sub-criteria from 10 alternative data, the highest value was obtained, namely alternative recipient 8 with a system analysis value of 0.2105 with the income criterion of the head of the family being IDR. 2,657,000, Head of family's education is high school, well water source, home toilet, boarded house building, parent's house ownership status, number of dependents 3 people, number of dependents Education of children 3 people, owns a motorbike
Grouping Mortgage Data By Job Using The Clustering Method Kusmananda Lubis; Yani Maulita; Marto Sihombing
Nusantara Journal of Multidisciplinary Science Vol. 1 No. 3 (2023): NJMS - Oktober 2023
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

This research discusses the application of a cluster-based data grouping method (clustering) to group Home Ownership Credit (KPR) data based on the type of work of the borrowers. The aim of this research is to identify possible patterns in mortgage data and group them into groups that have similar job characteristics. In this study, the cluster method is used to classify mortgage data based on the job attributes of the borrowers. The data collected includes job information and several other related attributes. The clustering process is carried out by applying certain algorithms to group data into different groups. The results of this study are expected to provide insight into the relationship between the type of work and the characteristics of mortgage borrowers. With a better understanding of these patterns, financial institutions and related agencies can make more informed decisions in managing mortgage products, credit risk, and developing more effective marketing strategies. This data grouping method can contribute to improving the efficiency of data analysis and decision making in the financial sector.
Penerapan Algoritma Apriori Korelasi Menentukan Pola Makanan Sehat untuk Balita Rafli Pramudia; Yani Maulita; Suci Ramadani
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 2 No. 4 (2024): November : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v2i4.2448

Abstract

Children under five are the gold brain generation where brain growth and development is currently developing. The toddler years are a time when children experience rapid growth, a very important period for basic growth to occur which will influence and determine the child's further development. In terms of food consumption, at this age children are still passive consumers, who are not yet able to pick and choose their own food according to their needs, so at this age children are very vulnerable to various health problems if they are malnourished.
PENERAPAN METODE AHP DALAM PENGAMBILAN KEPUTUSAN UNTUK PENILAIAN KOMPETENSI SOFT SKILL KARYAWAN Nursakinah; Maulita, Yani; Nur Kadim, Lina Arliana
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.117

Abstract

Bagi pengusaha atau manajemen puncak suatu perusahaan, kualitas sumber daya manusia termasuk soft skill merupakan faktor yang paling penting untuk diperhatikan agar dapat menjalankan bisnis secara optimal. Dalam mengevaluasi kompetensi soft skill karyawan PT Mitra Mas biasanya melakukan penilaian soft skill karyawan yang dilakukan minimal 2 kali dalam setahun. Dalam proses penilaian kompetensi soft skill karyawan di PT Mitra Mas ini masih belum optimal dikarenakan harus membaca dan mengisi dokumen secara tertulis serta melakukan perhitungan manual dan dalam penilaiannya juga masih subjektif. Tujuan penelitian ini adalah membangun sebuah Sistem Pendukung Keputusan penilaian kompetensi soft skill karyawan berdasarkan kriteria-kriteria yang telah ditentukan oleh perusahaan untuk memudahkan perusahaan dalam mengevaluasi kompetensi soft skill karyawan. Metode AHP (Analytical Hierarchy Process) dipilih karena metode AHP melakukan seleksi dengan proses pembentukkan hierarki terlebih dahulu, sehingga memudahkan peneliti dalam proses penelaian. Hasil urutan perangkingan nilai akhir karyawan PT Mitra Mas antara perhitungan sistem dan perhitungan manual dengan metode AHP adalah sama.
DATA MINING USING K-MEANS CLUSTERING ALGORITHM TO KNOW STUDENTS' INTERESTS AND TALENTS IN EXTRACURRICULAR ACTIVITIES: (Case Study: SMK Setia Budi Binjai) Dita Sahputri; Maulita, Yani; Novriyenni, Novriyenni
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.118

Abstract

Pemahaman tentang minat dan bakat siswa/siswi pada kegiatan ekstrakurikuler memiliki peran penting dalam pengembangan pendidikan dan pembelajaran yang holistik. Dalam penelitian ini, kami mengusulkan penggunaan metode Data Mining dengan menggunakan algoritma K-means Clustering untuk menganalisis minat dan bakat siswa/siswi dalam konteks kegiatan ekstrakurikuler. Penelitian ini dilakukan dengan menggunakan data survei yang dikumpulkan dari siswa/siswi sekolah di sebuah daerah. Data yang dikumpulkan meliputi informasi tentang minat dan bakat siswa/siswi terkait berbagai kegiatan ekstrakurikuler yang tersedia di sekolah. Tujuan utama penelitian ini adalah untuk mengklasifikasikan siswa/siswi berdasarkan pola minat dan bakat mereka menggunakan algoritma K-means Clustering. Diharapkan bahwa penelitian ini akan memberikan wawasan yang berharga bagi pihak sekolah dalam memahami minat dan bakat siswa/siswi, sehingga dapat mengoptimalkan penawaran kegiatan ekstrakurikuler yang sesuai dengan kebutuhan dan preferensi siswa/siswi. Hasil penelitian ini juga dapat membantu siswa/siswi dalam memilih kegiatan ekstrakurikuler yang sesuai dengan minat dan bakat mereka, sehingga dapat meningkatkan partisipasi mereka dalam kegiatan tersebut.
GROUPING NUTRITIONAL STATUS DATA FOR TODDLERS BASED ON INDEX ACCORDING TO COMMUNITY HEALTH CENTERS AND DISTRICTS USING THE CLUSTERING METHOD Putri Lestari; Maulita, Yani; Ramadani, Suci
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.122

Abstract

Status gizi merupakan status kesehatan seseorang yang dipengaruhi oleh pengguna zat gizi dan asupan makanan di dalam tubuh. Status gizi dapat menjadi preduktor suatu outcome penyakit dan juga dapat menjadi salah satu cara pencegahan dini suatu penyakit. Penilaian status gizi balita dapat diukur berdasarkan indikator antropometri meliputi tinggi badan (TB), berat badan (BB), dan Nilai Indeks pada balita. Clustering merupakan pengelompokan atau penggalian pengetahuan dan informasi baru dengan data yang berjumlah besar. penelitian ini bertujuan untuk mempermudah pihak puskesmas melihat perkembangan status gizi pada balita berdasarkan kelompok pada nilai indeks yang didapat dan hasil yang diperoleh berdasarkan analisis ini yaitu jumlah kelompok yang dibentuk sebanyak 3 kelompok. Group 1 terdapat 9 data dan Centroid (1,3, 3) dengan status Gizi Baik pada group usia adalah < 1 tahun dan kelompok nilai indeks yang didapatkan adalah -2 SD s.d + 1SD . Group 2 terdapat 8 data dan Centroid (1,1.87, 1.87) dengan status Gizi Buruk pada group usia adalah < 1 tahun dan kelompok nilai indeks yang didapatkan adalah <-3 SD, Group 3 terdapat 3 data dan Centroid (1, 4.33, 4.33) dengan status Gizi Lebih pada group usia adalah < 1 tahun dan kelompok nilai indeks yang didapatkan adalah >+1 SD s.d +2SD.
PENGELOMPOKAN PASIEN OPERASI SESAR BERDASARKAN INDIKASINYA MENGUNAKAN METODE CLUSTERING Sujayanti Br.Giniting, Novia; Maulita, Yani; Ramadani, Suci
Journal of Engineering, Technology and Computing (JETCom) Vol. 2 No. 3 (2023): JETCom, November 2023
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v2i3.133

Abstract

Kelahiran sesar adalah alternatif terakhir dalam persalinan, dikarenakan faktor resiko yang tinggi. Walau pun resikonya tinggi, angka kelahiran sesar mengalami peningkatan yang tinggi, khususnya di Indonesia. Cluster analysis adalah pekerjaan mengelompokan data (objek) yang didasarkan hanya pada informasi yang ditemukan dalam data yang menggambarkan objek tersebut dan hubungan diantaranya. Output untuk mengetahui pengelompokan pasien sesar  berdasarkan indikasi yang ada. Dari 20 data diperoleh 3 group, Cluster 1 terdapat 6 data, Cluster 2 terdapat 10 data, dan Cluster 3 terdapat 4 data. Dan diperoleh Group terbanyak adalah cluster 2. Dapat diketahui pada cluster 1 (1   1   1) terdapat terdapat 6 data yaitu berada di umur pasien 18-25 tahun pada status kehamilan ke satu dan memiliki indikasi tekanan darah tinggi. Pada cluster 2 (2   1   5) terdapat 10 data yaitu berada di umur pasien 26-35 tahun pada status kehamilan ke satu dan memiliki indikasi pinggul ibu terlalu kecil. Pada cluster 3 (2   1   6) terdapat 4 data yaitu berada di umur pasien 26-35  tahun pada status kehamilan ke satu dan memiliki indikasi kelilet tali pusar.  
Co-Authors , Achmad Fauzi ., Novriyenni Achmad Fauzi Acmad Fauzi Agi Kakana Bangun Ahmad Fauzi Ahmad Kurniawan Prahadi Alanis Humairoh Alfinaty, Nurma Ambarita, Indah Andika, Rio Andri Kristiawan Annatasia, Kristina Arisma Yulistiani Arisya, Feby Arliana, Lina Aula, Nurhasanah Aulia, Damai Aulia Br Karo Ayu Rahayu Febria Ayu Rahayu Febria Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Citra Ayu Wasih Dea Syafitri Dhea Armaya Dicky Ananda Azhari Dieo Alfiky Ananda Dila Aulia Putri Dimas Prayogi Dina Ervianna Simarmata Dita Sahputri Elfira Iriani Esti Sundari Eva Sasmita Fadilah, Nurul Elsa Farid Reza Malau Farid Reza Malau Farida Hanum Fauzi Ahmad Muda Fauzi, Achmad Fisyanda Yusmalizar Fresti Anjeli Gea, Wisda Wati Gultom, Imeldawaty Hafizh, Faisal Hermansyah Sembiring I Gusti Prahmana Ika Indah Rahayu Intan Sari Irfan Yusuf Jecika Azzahra Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Khair, Husnul Khairunisa, Salsabila Kristina Annatasia Br Sitepu Kristina Annatasia Br Sitepu Kusmananda Lubis Lala Arika Leni Tri Ramadhayanti Lina Arliana Liyanti Armaya Sari Lubis, Setia Adiyasa Lumbanbatu, Katen Magdalena Simanjuntak Magdalena Simanjuntak magdalena simanjuntak Malau, Farid Reza Manik, Laurensia Agustin Mariza Marto Sihombing Maskanda Rizky Maulidina, Nadia Melda Pita Uli Sitompul Mhd Arif Permata Mirah, Alta Muammar Khadafi Muhammad Prabowo Hartanta Sitepu Muhammad Rivaldi Prastowo Muhammad Yusri Nadilla Ayudia Pasa Naftali, Juliana Ningsih, Fauziah Nisrina Naufalia Santoso Novriyenni Novriyenni - Novriyenni, Novriyenni Nurhayati Nursakinah Pakpahan , Victor Maruli Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Piper Warni Gea Prahmana, I Gusti Pramana, I Gusti Puteri Diyana Putri Ladya Elvanny Putri Lestari Rafli Pramudia Rahayu, Rizka Putri Rahmat Ramadhan Ramadana, Noval Ramadani, Suci Ratih Puspadini Rayuni, Rayuni Retni Noviyanti Siregar Rindi Asti Ananda Rizki Irwansyah Rizky Ramadhan Rusmin Saragih, Rusmin Sari, Elisa Puspita Saripurna, Darjat Selfira, Selfira Selviyani, Selviyani Sembiring, Hermansyah Sembiring, Jhody Alkhalis Sembiring, Wildan Yuanda Malik Setia Ningsih Shella Nadya Shely Eninta BR PA Sihombing, Anton Sihombing, Marto Silvia, Sindy Simanjuntak, Magdalena Sinurat, Sylvia Natalia Siregar, Retni Noviyanti Siswan Syahputra Suci Rahmadani Suci Ramadani Suci Ramadani suci ramadani Suci Ramadani Suci Ramadani Suci Ramadani Sujayanti Br.Giniting, Novia Suma Dia Syahwani Sundari, Yeni Sundari, Yeni Suria Alamsyah Suria Alamsyah Putra Surya Alamsyah Putra Syahputra , Siswan Syahputra, Siswan Syahputra, Suria Alam Syahputri, Heni Syari, Mili Alfhi Syari, Milli Alfhi Tarigan, Kiki Dea Ananda Tiwi, Chairmayni Pratiwi Tria Damayanti Wardhani, Diah Wardhani, Diah Wardhani Wildan Yuanda Malik Sembiring wildan yuanda malik sembiring Winda Sari Yuyun Arnia Zehy Fadia Zema Zema Zema Zema Zhya Anggraini