cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Zul Anwar
Contact Email
zulanwar17@gmail.com
Phone
+62817259116
Journal Mail Official
mandalikaindo@gmail.com
Editorial Address
http://ojs.cahayamandalika.com/index.php/jtm/about/editorialTeam
Location
Unknown,
Unknown
INDONESIA
Journal Transformation of Mandalika
Published by Institut Penelitian dan Pengembangan Mandalika Indonesia
ISSN : -     EISSN : 27455882     DOI : -
Core Subject : Economy, Health, Science, Education, Agriculture, Social, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Physics
Journal Transformation Of Mandalika (JTM) e-ISSN 2745-5882 is a scientific journal that accepts articles for publication in all scientific fields. Published every month since September 2020.
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2022): Februari" : 5 Documents clear
Penerapan Metode K-Nearest Neighbour Untuk Sistem Prediksi Kelulusan Siswa MTs Nurul Muslimin Berbasis Website Ari Sanjaya; Tri Wahyana
Journal Transformation of Mandalika, e-ISSN: 2745-5882, p-ISSN: 2962-2956 Vol. 3 No. 2 (2022): Februari
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jtm.v3i2.866

Abstract

Student graduation is that they are able to complete and meet the graduation requirements set out in the graduation meeting which is signed by the Principal through a decision letter from the results of the meeting. The student's graduation rate is a top priority because it involves school accreditation. For this reason, the right strategy is needed to boost student graduation rates. identification of existing problems, namely the school in predicting the graduation rate of students is not accurate, the school has difficulty predicting the graduation rate and the absence of a computer system in predicting the graduation rate at the school. From these problems, using the K-Nearest Neighbour (K-NN) method, and utilizing pre-existing data, processing MTS student graduation rate data is made to facilitate the school in predicting student graduation rates, both students who pass and students who do not pass. Methodology is a way of working that is used to build a new system. The research method used in this paper is descriptive research method. The method used to collect data in this research is Interview, Observation and Literature Study. Calculation of the K-Nearest Neighbour (KNN) algorithm is a method for classifying new objects based on (K) their closest neighbour. K-NN is a supervised learning algorithm, where the results of a new query instance are based on the results of the K-NN. The class that appears the most will be the predicted class. In this study, testing the stages of applying the method was done manually using Microsoft Excel. The training data used are 8 data and testing data are 3 data. The results of K-Nearest Neighbour can predict the processing of student graduation data. From the test results, it can be seen that the K-Nearest Neighbour method can make it easier to determine student graduation results. The K-Nearest Neighbour method can predict the number of students who will graduate.
Penerapan V-Model dalam pengembangan sistem penerimaan siswa baru Menggunakan PHP dan mySQL Jayaun; Dedi Supriyadi
Journal Transformation of Mandalika, e-ISSN: 2745-5882, p-ISSN: 2962-2956 Vol. 3 No. 2 (2022): Februari
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jtm.v3i2.867

Abstract

The rapid development of technology and communication requires humans to act faster with attention to efficiency and effectiveness. SDIT Insan Kamil as an institution engaged in the field of Education. The expected goal of this research is to build a P2DB information system that is used to store and utilize new student registrations owned by SDIT Insan Kamil, making it easier to find solutions to the problems at hand. For the data collection method, the researcher did by direct observation. New student enrollment is done by knowledge creation, knowledge sharing and knowledge application. System development method with the V-Model method. The result of this research is to show that the application of new student registration is the solution to the problem.
Pengaruh Harga Dan Ketepatan Waktu Terhadap Kepuasan Konsumen Satria Antaran Prima (SAP) Express Di Kota Bima Al Akbar; Muhajirin; Puji Muniarty
Journal Transformation of Mandalika, e-ISSN: 2745-5882, p-ISSN: 2962-2956 Vol. 3 No. 2 (2022): Februari
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jtm.v3i2.868

Abstract

The service business is currently very much needed in the daily activities of consumers. This has resulted in consumers choosing a place for courier delivery services that can be trusted, providing affordable prices and the best timeliness, making it easier for consumer activities in term of distributing goods over long distances to be channeled properly. This study aims to determine the effect of price and timeliness on consumer satisfaction at satria antaran prima (SAP) express in bima city. This study uses multiple linear regression analysis. The population used is by all people with respondent criteria, namely consumer who visit the bima city SAP express service at least 2 times. The sample members used were 96 people who were taken by purposive sampling technique. Test results (f test) show price and timeliness simultaneously have a significant effect on consumer satisfaction of satria antaran prima (SAP) express in bima city. The result of the partial test (t test) show that price and timeliness have a significant influence on consumer satisfaction of satria antaran prima (SAP) express in bima city.
PENERAPAN METODE CLUSTERING DENGAN ALGORITMA K-MEANS PADA PENGELOMPOKAN JURUSAN DATA CALON SISWA BARU DI SMK AL-ISHLAH CIKARANG UTARA Nopiyanto; Bahrul Ulum
Journal Transformation of Mandalika, e-ISSN: 2745-5882, p-ISSN: 2962-2956 Vol. 3 No. 2 (2022): Februari
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jtm.v3i2.878

Abstract

Based on data on the results of new student admissions at the AL-ISHLAH vocational high school, it shows the number of students who have registered. For this reason, it is necessary to classify the selection of the Department of Expertise to determine the success of students in completing their studies. One example of data processing is by clustering. One of the data grouping algorithms is the K-Means Algorithm. Data on the test scores of new prospective students have been entered into the program input, then the program performs selection processing based on the highest score to the lowest value, the results of passing the selection will be in the K-Means Algorithm, and the results are in the form of value data clusters. Implementation of a system designed using Web programming, database using SQL. The forms of software that will be implemented consist of interface implementation, namely login, main menu, registrant data input display, value data input, admin data input, majors data input, period data input, selection process display, clustering process data display, display cluster report, registrant report display, registrant report display, pass selection display. And the cluster graph.
Pengaruh Pemanfaatan Teknologi Informasi Terhadap Kinerja Pegawai Pada Kantor Camat Woha Kab. Bima Niswati; M. Rimawan; Ikbal Irawan
Journal Transformation of Mandalika, e-ISSN: 2745-5882, p-ISSN: 2962-2956 Vol. 3 No. 2 (2022): Februari
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jtm.v3i2.973

Abstract

Kantor Camat Woha merupakan salah satu instansi pemerintah yang bergerak dalam bidang pelayanan masyarakat. Berdasarkan hasil observasi, permasalahan yang ditemukan di Kantor Camat Woha adalah pengetahuan dan pemanfaatan teknologi informasi yang masih jauh dibandingkan dengan kemajuan teknologi serta masih adanya pegawai Kantor Camat Woha yang minim pemahaman dan terhadap teknologi sehingga mendapatkan keluhan dari masyarakat dikarenakan keterlambatan dalam proses pelayanan keperluan masyarakat. Upaya-upaya yang dilakukan untuk meningkatkan kinerja pegawai harus optimal dan dapat memberikan dampak yang signifikan terhadap perbaikan kinerja pegawai. Penelitian ini menggunakan jenis penelitian asosiatif. Penelitian asosiatif yaitu penelitian yang bertujuan untuk mengetahui hubungan antara dua variabel atau lebih. Instrumen penelitian ini adalah kuesioner dengan skala likert. Berdasarkan hasil hitung, diperoleh nilai signifikansi 0,001 lebih kecil dari 0,05 dan nilai thitung 3,409 < ttabel 1,997 artinya pemanfaatan teknologi berpengaruh signifikan terhadap kinerja pegawai. Dengan adanya perkembangan teknologi informasi maka kinerja pegawai meningkat dikarenakan teknologi dapat membantu dan memudahkan pekerjaan pegawai sehingga tujuan organisasi dapat tercapai. Berdasarkan hasil penelitian, maka dapat ditarik kesimpulan bahwa pemanfaatan teknologi berpengaruh signifikan terhadap kinerja pegawai pada Kantor Camat Woha Kabupaten Bima.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol. 6 No. 12 (2025): Desember Vol. 6 No. 11 (2025): November Vol. 6 No. 10 (2025): Oktober Vol. 6 No. 9 (2025): September Vol. 6 No. 8 (2025): Agustus Vol. 6 No. 7 (2025): Juli Vol. 6 No. 6 (2025): Juni Vol. 6 No. 5 (2025): Mei Vol. 6 No. 4 (2025): April Vol. 6 No. 3 (2025): Maret Vol. 6 No. 2 (2025): Februari Vol. 6 No. 1 (2025): Januari Vol. 5 No. 12 (2024): Desember Vol. 5 No. 11 (2024): November Vol. 5 No. 10 (2024): Oktober Vol. 5 No. 9 (2024): September Vol. 5 No. 8 (2024): Agustus Vol. 5 No. 7 (2024): Juli Vol. 5 No. 6 (2024): Juni Vol. 5 No. 5 (2024): Mei Vol. 5 No. 4 (2024): April Vol. 5 No. 3 (2024): Maret Vol. 5 No. 2 (2024): Februari Vol. 5 No. 1 (2024): Januari Vol. 4 No. 12 (2023): Desember Vol. 4 No. 11 (2023): November Vol. 4 No. 10 (2023): Oktober Vol. 4 No. 9 (2023): September Vol. 4 No. 8 (2023): Agustus Vol. 4 No. 7 (2023): Juli Vol. 4 No. 6 (2023): Juni Vol. 4 No. 5 (2023): Mei Vol. 4 No. 4 (2023): April Vol. 4 No. 3 (2023): Maret Vol. 4 No. 2 (2023): Februari Vol. 4 No. 1 (2023): Januari Vol. 3 No. 12 (2022): Desember Vol. 3 No. 11 (2022): November Vol. 3 No. 10 (2022): Oktober Vol. 3 No. 9 (2022): September Vol. 3 No. 8 (2022): Agustus Vol. 3 No. 7 (2022): Juli Vol. 3 No. 6 (2022): Juni Vol. 3 No. 5 (2022): Mei Vol. 3 No. 4 (2022): April Vol. 3 No. 3 (2022): Maret Vol. 3 No. 2 (2022): Februari Vol. 3 No. 1 (2022): Januari Vol. 2 No. 12 (2021): Desember Vol. 2 No. 11 (2021): November Vol. 2 No. 10 (2021): Oktober Vol. 2 No. 9 (2021): September Vol. 2 No. 8 (2021): Agustus Vol. 2 No. 7 (2021): Juli Vol. 2 No. 6 (2021): Juni Vol. 2 No. 5 (2021): Mei Vol. 2 No. 4 (2021): April Vol. 2 No. 3 (2021): Maret Vol. 2 No. 2 (2021): Februari Vol. 2 No. 1 (2021): Januari Vol. 1 No. 4 (2020): Desember Vol. 1 No. 3 (2020): November Vol. 1 No. 2 (2020): Oktober Vol. 1 No. 1 (2020): September More Issue