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All Journal Jurnal Informatika dan Teknik Elektro Terapan KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal ICT : Information Communication & Technology Infotekmesin Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer JCOSE Jurnal Bimbingan dan Konseling JATI (Jurnal Mahasiswa Teknik Informatika) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) MEANS (Media Informasi Analisa dan Sistem) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Dinamika Informatika (JDI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) PENA ABDIMAS : Jurnal Pengabdian Masyarakat BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Sistem Informasi dan Manajemen INTERNAL (Information System Journal) Jurnal Ilmiah Sistem Informasi Bianglala Informatika

Kaslani

STMIK IKMI Cirebon

Author-ID : 3762985

Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Clustering Analysis of Administrative Service Types Using K-Means (Study Case: Village bojongsalam) Wafiq Azizah; Ade Irma Purnamasari; Agus Bahtiar; Kaslani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.867

Advances in information technology present significant opportunities for the improvement of public services, especially in relation to the administrative functions of Bojongsalam Village. Reliance on traditional methods often leads to inefficiencies and inaccuracies in administrative processes. This research uses the K-Means algorithm to categorize administrative service data based on service type, document number, printing date, and accompanying remarks. Utilizing the Knowledge Discovery in Databases (KDD) framework, the analysis includes data selection, pre-processing, transformation, and clustering analysis conducted through RapidMiner software. The dataset consisted of 718 administrative records that had undergone a rigorous cleaning process, including attribute normalization. The analysis resulted in an optimal Davies-Bouldin Index (DBI) value of -0.498 at K = 4, with each cluster representing a different service utilization pattern. The issuance of Family Cards (KK) and Birth Certificates showed higher demand compared to other available services. This classification promotes workload optimization, fair resource allocation, and formulation of effective operational strategies. The application of the K-Means algorithm demonstrated its effectiveness in data clustering and made a significant contribution to technology-based administrative management. The findings lay a basic framework for addressing the needs of the community in a timely manner.

Pengembangan Sistem Informasi Management Transaksi Pembayaran Pondok Pesantren Hayati, Umi; Purnama Sari, Ade Irma; Kaslani; Fathurrohman
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v6i2.1478

Seluruh transaksi pembayran yang terdapat pada pondok pesantren Nurul Fajri dialihkan menggunakan metode baru menggunakan aplikasi (SIMPONI) pada desktop yang mana seluruh data disimpan secara online untuk mencegah kehilangan data dan memungkinkan pemilik pondok pesantren dapat melihat data transaksi secara real time. Tujuan dari seluruh rangkaian sistem yang dibangun adalah untuk mempermudah proses transaksi dan juga mempercepat proses laporan, baik harian, mingguan bahkan bulanan dengan tingkat kesalahan yang rendah serta tingkat ketepatan yang tinggi. Selain dari tujuan tersebut aplikasi SIMPONI akan menyimpan seluruh proses transaksi yang telah dilakukan secara aman yang memungkinkan dapat di cetak kembali di kemudian hari jika dibutuhkan. Dengan diimplementasikanya Sistem Informasi Management Pembayaran Pondok Pesantren (SIMPONI) ini diharapkan dapat menyelesaikan semua kendala yang didapati pada sistem yang digunakan sebelumnya, baik dari segi ketepatan data maupun kecepatan proses yang dilalui selama melakukan transaksi.

RANCANG BANGUN APLIKASI PENGAJUAN PEMBUATAN KTP ONLINE BERBASIS WEB DI KELURAHAN ARGASUNYA KOTA CIREBON Kencana, Junaedi Surya; Dwilestari, Gifthera; Dana, Raditya Danar; Ajiz, Abdul; Kaslani
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Argasunya village is an institution responsible for the management of community data in a government environment. The need for public service will involve the state as a public service provider and individual citizens as recipients. But there is no application about the design of the application for the creation of E-KTP online, for that the author tried to make the Final Task regarding the Application for Submission of E-KTP Online which until now has not existed in Argasunya Village. In the process of collecting data with the aim to solve the problem, the author uses methods with data collection techniques, namely by observation and interview. And to design the application, the author used prototype development methods. In order to solve the problem, an application was made to make E-KTP Online. The final result obtained in this study is an application that can make it easier for people to create E-KTP. With some of the advantages that this application has, the application for the creation of E-KTP Online should be able to further alleviate the tasks given to the village. It is expected that this application will always be well controlled in terms of accuracy and data validation can be accounted for so that the information generated will be even better.

Clustering Data Persediaan Barang Dengan Menggunakan Metode K-Means Ramdhan, Dadan; Dwilestari, Gifthera; Dana, Raditya Danar; Ajiz, Abdul; Kaslani
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

UD. Anugerah Sukses Mandiri merupakan perusahaan yang bergerak dibidang distribusi food dan non food. Transaksi barang yang berjalan terus meningkat, sehingga perusahaan mengalami permasalahan dalam menentukan jumlah persediaan barang, dikarenakan jumlah permintaan barang yang dibutuhkan selalu berubah setiap waktu. Persediaan barang merupakan suatu aktivitas lancar yang meliputi barang-barang milik perusahaan dengan maksud dijual kembali pada suatu periode usaha normal. Data mining merupakan proses yang menggunakan teknik statistik, matematika, kecerdasan buatan dan machine learning untuk mengekstraksi dan mengidentifikasi informasi yang terkait dari berbagai warehouse. Tujuan penelitian ini dengan memanfaatkan data mining yaitu untuk melakukan pengelompokan barang dan meningkatkan akurasi klasterisasi data persediaan barang dengan menggunakan metode K-Means Clustering. Dengan metode K-Means ini dapat mempartisi data ke dalam kelompok sehingga data berkarakteristik sama akan dimasukan ke dalam satu kelompok yang sama dan data yang berkarakteristik berbeda dikelompokan kedalam kelompok yang lain, karena metode ini menggunakan centroid (rata-rata) sebagai model dari cluster. Hasil penelitian yang didapat berupa pengelompokan data menjadi 2 kluster yaitu data dengan kluster terendah/sedikit dan kluster tertinggi/terbanyak. Sehingga mendapatkan kesimpulan bahwa clustering persediaan barang dengan menggunakan metode K-Means ini cukup baik dari sisi nilai average within distance dan kompleksitas waktu. Keyword : Data Mining, K-Means Clustering, Persediaan barang

Pemesanan Paket Wedding Organizer pada Cahaya Bridal Decoration Berbasis Web Sukabumi Faturachman, Rifcki Aziz; Rahaningsih, Nining; Basysyar, Fadil M; Kaslani; Tohidi, Edi
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

The Wedding Organizer package ordering information system is made by utilizing web-lined information technology, with the aim of expanding the area of promotion and sales of wedding packages and simplifying the ordering process. so the author tries to make a Final Project on the Website-Based Website-Based Information System for ordering wedding organizer packages. In the process of collecting data with the aim of solving problems, the authors use data sources (Observation and Interview). The authors Wedding Organizer package ordering information system uses the PHP and MySQL programming languages. For system design, the author uses the Prototype method. The final result obtained in this study is a website-based Information System, which can provide information about several wedding organizer packages, wedding organizer package prices and the contents of wedding organizer packages available at Cahaya Bridal Decoration. With several advantages of website technology as an information medium, the Website-Based Information System for ordering wedding organizer packages is expected to expand the reach of information dissemination to all aspects

Penerapan Algoritma Decision Tree Dalam Penentuan Karyawan Kontrak Alibasyah, Aziz; Ajiz, Abdul; Dwilestari, Gifthera; Kaslani; Wahyudin, Edi
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

The problem that arises at this time is a complicated evaluation (assessment) process, meaning that what often happens now is that contract employees who get promoted to permanent employees are only seen on one criterion, but the employee is not necessarily superior on several other criteria. but still get promotions for permanent employees. And there are several problems that exist today, namely the process of evaluating contract employees which is still subjective. Data mining using the decision tree method is widely used to deal with problems with large amounts of data. This decision tree method is a classification method that is widely used because its construction is relatively fast, the results of the model built are easy to understand and the prediction results are very strong so that they can assist in decision making. This study uses 4 criteria, namely Achievement, Ability, Personality and Results. Prediction results accuracy obtained is 91.54% with the following details. Prediction results are accepted and it turns out to be true, 72 data are accepted. Prediction Result Accepted and it turns out True Not Accepted for 14 Data. Prediction Results Not Accepted and it turns out True Accepted 1 Data. Prediction Results Not Accepted and in fact True Not Accepted Amounting to 91 Data.

Pada minimarket, produk merupakan bahan pokok yang akan dijual belikan. Produk di minimarket ini akan menentukan pengelompokkan data stok barang di Toko Toba. Dengan adanya masalah ini, perlu untuk menciptakan sistem baru menggunakan Rapidminer yang dapat Fauziah, Irfa Mulhimah; Amalia, Dita Rizki; Wahyudin, Edi; Mulyawan, Mulyawan; Kaslani, Kaslani
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v7i2.1852

In minimarkets, the product is a staple that will be sold and bought. The products in this minimarket will determine the grouping of stock data at the Toba Store. Given this problem, it is necessary to create a new system using Rapidminer that can group stock data at Toko Toba, which was carried out at the Toko Toba Sedong minimarket and carried out in November 2021-January 2022. This k-means algorithm will not be affected by the order of objects which has been used. In stock management that is carried out inaccurately and carelessly will cause very high and uneconomical storage costs, because there can be vacancies or excess goods and certain types of items. This study aims to group stock data using Rapidminer at Toba Stores into 2 clusters. The method that will be used in this research is using the K-Means Clustering method. This research is also strongly supported by 1 data mining tool, namely Rapidminer. Data mining on Rapidminer tools for cluster 0 there are 15 items and the data contained in it, for cluster 1 there are 9 data contained in it.

Pengelolaan Aplikasi Layanan Administrasi pada Kelurahan Argasunya Garsandi, Akmal Maulana; Mulyawan; Dana, Raditya Danar; Kaslani; Tohidi, Edi
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Argasunya Village is a combined area of several Rukun Warga (RW). Government at the village and sub-district levels is an element of government that is directly related to the community. Kelurahan is also an administrative division under the subdistrict. The village office has not used the system in making a Business Certificate. Therefore, the author tries to make a service application for making a business certificate based on a web application with the hope of simplifying the procedures for making a business certificate, the author uses data sources (Observation and Interviews). The programming language used is PHP language with MySql database. For system design, the author uses the Prototype method. From the results of the tests carried out, the system functionality can run well and the making of online and onsite business certificates is appropriate and can run well..

Pengembangan Media Pembelajaran Tari Topeng Berbasis Android dengan Metode Analysis Design Development Implementation and Evaluation Irma Purnamasari, Ade; Setiawan, Andi; Kaslani, Kaslani
Infotekmesin Vol 12 No 1 (2021): Infotekmesin: Januari 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i1.473

Mask Dance is one of Cirebon's traditional arts in Indonesia and has a variety of types and meanings in accordance with the symbols depicting characters such as in popular stories. The young generation in their activities cannot be separated from using internet technology, one of which is social media, so that it affects their less concern for art and traditions that have been inherent in society. From these problems, it is necessary to make Mask Dance learning media by utilizing android technology. This study uses the ADDIE method through the stages of Analysis, Design, Development, Implementation, and Evaluation as a guide in building learning tools. The results of this study are an Android-based application of Mask Dance learning media to introduce Mask Dance starting from history, descriptions, types of dance, how to dance to Mask Dance, and quizzes to evaluate understanding of learning. With this learning media, it can make it easier for students to learn mask dance among students and other young generations. From the test results using a black box, it shows that the functions in the application have been running according to their function, while the test results to the respondents obtained a value of 84.27% with good criteria for the application so that this application can be used as a medium for learning Mask Dance.

Co-Authors Abdul Ajiz Abdul Ajiz, Abdul Abdul Koda Abdul mukhsyi, Sopian Abi Fajar Ahmad Fauzi Ade Irma Purnamasari Ade Irma Purnamasari Adella, Luthfiyyah Iffah agus bahtiar Ahmad Faqih Alibasyah, Aziz Amalia, Dita Rizki Amir Rudin, Rizki Anana Rafly Andi Setiawan Andi Setiawan Andia, Rita Anwar Pauji Aprilyani, Wiwin Aria Pratama Arya Gunawan Bachtiar, Agus Bakri, Saeful Basysyar, Fadhil Muhammad Basysyar, Fadil M Cep Lukman Rohmat Dadang Sudrajat Deffan Febrian Dirmanthara Delisah Destriyanah, Riska Dian Ade Kurnia Dilla Eka Lusiana Dodi Solihin Edi Tohidi Edi Tohidi Edi Wahyudin Edi Wahyudin Ega Salsa Nugraha Eka Permana, Sandy Fadillah, Nafla Fansuri, Rafly Fathurrohman Fathurrohman Fathurrohman, Fathurrohman Fatihanursari, Fatihanursari Faturachman, Rifcki Aziz Faturrohman, Faturrohman Fauziah, Irfa Mulhimah Firda Pardiana Fitriyah, Anis Garsandi, Akmal Maulana Gifthera Dwilestari Haidar Fakhri Hamonangan, Ryan Handayani, Tineka Hartini, Tuti Hayati, Umi Herdiana, Ruli Hermawan, Eman Hery Widijanto Hilman Rifa'i Hira Wahyuni Azizah Iin, Iin Iqbal Agis Junizar Irfan Ali Irfan Ali, Irfan Irma Purnamaari, Ade Irma Purnamasari, Ade Kencana, Junaedi Surya Khaerul Anam Mahendra, Yusril Muhamad Izha Marthanu, Indra Wiguna Marwah, Sopa Muhalim, Alvy Muhammad Aji Pratama Mulyawan Mulyawan Mulyawan, Mulyawan Nining Rahaningsih Nur Atikah Odi Nurdiawan Perdana Herdiansyah, Reza Pratama, Denni Puji Rahayu Purnama Sari, Ade Irma Purnamasari, Ade Irma Purnamasari, Ade Purnamasari Putri Siti Nur Hajijah, Regi Raditya Danar Dana Ramdhan, Dadan Rayhan, Tubagus Muhammad Rini Astuti Rizki Fahrezi Maulana Rizky Wahyudi, Febri Rohmat, Cep Lukman Rudi Kurniawan Ryan Hamonangan Salsabila, Putri Sandy Eka Permana SANJAYA, RIKI siti azhar Sobari, Syahrul Sri Ayuningsih Suarna, Nana Subhiyanto, Fajar Sukma Maula, Intan Tati Suprapti Tengku Riza Zarzani N Tio Prasetya Tohidi, Edi Tohodi, Edi Tuti Hartati Umi Hayati Vibrianti, Vera Wafiq Azizah Wahyudi, Edi Wahyudin, Edi Wiguna Marthanu, Indra Wilda Rusmiati Rahayu Yuliantin, Yovi Zapar, Rizky

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