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All Journal Jurnal Fitopatologi Indonesia Jurnal Agroteknos Sistemasi: Jurnal Sistem Informasi Al Ishlah Jurnal Pendidikan Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pengabdian Pada Masyarakat INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Teknik Informatika (JUTIF) Community Empowerment Journal Of Human And Education (JAHE) J-COSCIS : Journal of Computer Science Community Service CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Teknologi Komputer dan Informasi Contributions of Central Research Institute for Agriculture GMPI Conference Series JURNAL KARYA ILMIAH MULTIDISIPLIN INOVTEK Polbeng - Seri Informatika

Lisnawita Lisnawita

Fakultas Ilmu Komputer, Universitas Lancang Kuning

Author-ID : 307965

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Menggunakan Metode Ahp Mustika Mustika; Lisnawita Lisnawita; Yogi Yunefri; Loneli Costaner
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 2 No. 1 (2022): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

HRD (Human Resources Departement) atau pimpinan sering merasa sulit dalam memilih sesuatu mulai dari memilih sesuatu yang ringan dan sederhana hingga sampai ke hal yang sangat berat dan rumit. Pihak puskesmas kesulitan dalam penilaian kinerja pegawai yang sering terjadi kekeliruan data dari bagian administrasi seperti penilaian kriteria dan nilai lainnya sering terlihat tidak singkron, jadi diharapkan dengan adanya aplikasi ini nanti nya bisa membantu pihak puskesmas dalam meng query data tersebut. Maka solusi dalam sistem pendukung keputusan penilaian kinerja pegawai tersebut diperlukanlah suatu sistem pendukung keputusan dan menerapkan Metode AHP (Analytic Hierarchy Process).Sehingga dalam penilaian kinerja pegawai dapat dapat lebih terarah dan terstruktur.Dalam hal ini penulis menggunakan metode AHP karena metode tersebut dapat memecahkan permasalahan yang kompleks melalui pendekatan sistem dan pengintegrasian secara deduktif. Beberapa metode yang penulis bandingkan seperti SAW (Simple Addictive Weighting) yang dapat digunakan pada elemen-elemen sistem yang saling bebas dan tidak memerlukan hubungan linier. Dengan menerapkan sistem pendukung keputusan penilaian kinerja pegawai Puskesmas Sapta Taruna Pekanbaru dapat membantu dan memudahkan user dalam penilaian kinerja pegawai dan dapat mempermudah pengolahan nilai masing-masing kriteria. Abstrak (Human Resources Department) or leaders often find it difficult to choose anything from choosing something that is light and simple to something that is very heavy and complicated. The health center has difficulty in evaluating employee performance, where data errors from the administrative section often occur, such as the assessment of criteria and other values that often look out of sync, so it is hoped that this application will later be able to help the puskesmas in querying the data. So the solution in the employee performance appraisal decision support system requires a decision support system and applies the AHP (Analytic Hierarchy Process) method. So that employee performance appraisals can be more focused and structured. In this case the author uses the AHP method because this method can solve problems through a systems approach and deductive integration. Some of the methods that the authors compare, such as SAW (Simple Addictive Weighting), can be used on independent system elements and do not require a linear relationship. By implementing a decision support system for employee performance appraisal of the Sapta Taruna Public Health Center in Pekanbaru, it can be more helpful and easier for users to assess employee performance and can simplify the processing of the value of each criterion.

Penerapan Metode Finite State Machine Pada Game Pembelajaran Matematika Antonius Fernando; Guntoro Guntoro*; Loneli Costaner; Mariza Devega; Lisnawita Lisnawita
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 3 No. 1 (2023): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Mathematics is a compulsory field of study that is learned from elementary school, junior high school, high school, and college. A very important lesson, can help every citizen in transactions in selling an item, because it can calculate the amount of income and expenses in a business and various other examples related to mathematics lessons. In learning mathematics, students experience problems in understanding mathematical material. The problem faced by students is the lack of understanding of students in learning mathematics because students are used to finding answers on the internet. In overcoming the problems experienced by students, teachers try to improve understanding of mathematics learning by teaching slowly so that students can understand mathematics learning. When the teacher finished explaining, some students did not understand and asked the teacher to explain again from the beginning. This learning game was made to increase the interest in learning for vocational school children not to be bored in learning mathematics, because most students are not interested in learning mathematics because the material is difficult to reach and makes it easier for teachers to repeat the material presented by the teacher. In this mathematics application, a multimedia-based mobile application will be created. This math application supports multimedia video, sound, image, text and also text. This study aims to make the application of the Finite State Machine Method in Mathematics Learning Games for Elementary School Children. Methods of collecting data by browsing the internet, studying books, journals. FSM as AI (Artificial Intelligence). With this game, it is hoped that it can increase knowledge and facilitate the process of learning Mathematics.The result of this application can run well in accordance with blackbox testing and the application of the fiite state machine method can also be applied in this application according to the finite state machine method testing.

Analisis Persepsi dan Preferensi Masyarakat Disabilitas terhadap Kebijakan dan Fasilitas Disabilitas di Kota Pekanbaru Riau Jeni Wardi; Anto Ariyanto; Latifa Siswati; David Setiawan; Guntoro Guntoro; Lisnawita Lisnawita*; Olivia Anggie Johar; Widya Apriani; Nurhamin Nurhamin; Fenty Widya; Ririn Sari Wati; Rizky Octa Putri Charin; Budia Misri
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 3 No. 1 (2023): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

The low accessibility of handling and services for persons with disabilities in Pekanbaru City, Riau Province, will certainly be an obstacle to the fulfillment and protection of rights for persons with disabilities. These barriers will have an impact on the development and rights of life for these marginalized people. Therefore, it is necessary to conduct an assessment to map the general situation and optimize the fulfillment of the rights of persons with disabilities. In this case, the researcher appointed Pekanbaru City as the focus of research. The stages of the research method are literature study, interviews, field observations, focus group discussions and data analysis. The results of this study will be used as a basis for developing policies that are inclusive of persons with disabilities so that they have equal opportunities before the State to enjoy social, economic, political, civil and cultural rights. The purpose of the study was to analyze the perception of the disabled community towards disability policies and facilities in the city of Pekanbaru and to analyze the preferences of the disabled community towards policies and facilities. The results show that the highest need for Infrastructure is 93%. In the Health sector, Hospital Needs with a percentage of 95.4%, Business Capital Requirements really help the economy of families with disabilities, namely the largest response of 94.70%, the Education Sector for special knowledge needs for disabilities the largest 84.3%, and the religious field needs lecturers and preachers disability-friendly 78.9%.

Implementasi Algoritma Naïve Bayes Classifier Untuk Klasifikasi Penerima Beasiswa BUMN Sekota Dumai Nugraha, Alif; Al-ghifari, Faza; Panigoran, Abdullah; Desmawan, Wahyu; Lisnawita, Lisnawita
Jurnal Karya Ilmiah Multidisiplin (JURKIM) Vol. 4 No. 2 (2024): Jurnal Karya Ilmiah Multidisiplin (Jurkim)
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jurkim.v4i2.20944

Secara konsisten otoritas publik menawarkan berbagai jenis hibah/bantuan kepada siswanya, salah satu bantuan/hibah dari bumn tidak terkecuali dari unversitas mana saja asal tempat tinggalnya. Secara konsisten jumlah calon penerima hibah ini terus bertambah, namun jumlah yang didapat setiap tahun tetap stabil. Selanjutnya, penting untuk membangun kerangka untuk melengkapi penambangan informasi dari tumpukan informasi ini yang akan dimanfaatkan untuk tujuan tertentu, salah satunya untuk menyelidiki kewajaran penerima hibah agar sempurna. Bayes Classifier merupakan metodologi yang mengacu pada hipotesis Bayes yang menggabungkan informasi masa lalu dengan informasi baru. Jadi perhitungan karakterisasi bersifat mendasar namun memiliki ketelitian yang tinggi. Oleh karena itu, pemeriksaan ini akan menunjukkan kapasitas Bayes Classifire dalam mengelompokkan informasi calon penerima hibah/bantuan yang menjelaskan kemungkinan pemberian hibah/bantuan bumn. Data pelamar beasiswa telah diolah terlebih dahulu agar “bersih” dan siap untuk diproses lebih lanjut. Setelah pra- pemrosesan ini, Naive Bayes Classifier digunakan untuk mengklasifikasikan data, sehingga menghasilkan model probabilitas untuk mengklasifikasikan pelamar beasiswa berikutnya. Dari hasil pengujian ketepatan model kerangka kerja yang dibuat menghasilkan nilai akurasi tertinggi sebesar 75,00%

Co-Authors Abdullah Abdullah AHMAD RAFIQI TANTAWI Ahmad Zamsuri, Ahmad Al-ghifari, Faza Antonius Fernando Asma Alhusna Bakar, Juhaida Abu Bambang HADISUTRISNO Budia Misri Costaner, Loneli Costaner Dafwen Toresa David Setiawan Desmawan, Wahyu Edriyansyah Elvira Asril, Elvira Evi Lianda Fajrizal Fajrizal, Fajrizal Fana Wiza, Fana Febi Yanto Fenty Widya Fuad Renadi GEDE SUASTIKA Guntoro Guntoro, Guntoro Hamidah Hanum Hartana, I Haryono Semangun Ikhsan Hidayat Irda Safni Jeni Wardi Johar, Olivia Anggie Keumala Anggraini Khairunnisa Lubis, Khairunnisa Latifa Siswati Loneli Costaner loneli costaner Lucky Lhaura Van FC Lucky Lhaura Van FC, Lucky Lhaura Mariza Devega Monika, Winda Monika Muhamad Sadar, Muhamad Musfawati Musfawati Musfawati Musfawati Musfawati Musfawati Mustika Mustika Muzdalifah , Indah Muzdalifah, Indah NABABAN, TRIWANTO Novisa Rahmadani novi Nugraha, Alif Nurhamin Nurhamin Pandu Pratama Putra, Pandu Pratama Panigoran, Abdullah Rasli, Ruziana Mohamad Rezmia Febrina Ririn Sari Wati Rizky Octa Putri Charin Rometdo Muzawi, Rometdo RR. Ella Evrita Hestiandari Saragih, Wismaroh Sanniwati Sitepu, Suzanna Fitriani Supramana Susi Handayani Sutejo Sutejo Syafrika Deni Rizki, Syafrika Deni Tantawi, A. Rafiqi Toresa, Dafwen Yogi Yunefri, Yogi

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