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All Journal Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Pengabdian Pada Masyarakat METHABDI
Arliana, Lina
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Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health

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PENERAPAN DATA MINING PENGELOMPOKAN PESERTA BPJS KETENAGAKERJAAN BERDASARKAN PROGRAM YANG DIAMBIL MENGGUNAKAN METODE CLUSTERING Zema; Maulita, Yani; Arliana, Lina
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.v6i2.166

Abstract

The implementation of the social security program is one of the responsibilities and obligations of the State, to provide socio-economic protection to the community. Indonesia, like other developing countries, develops social security programs based on funded social security, namely social security that is funded by participants and is still limited to working people in the formal sector. BPJS Ketenagakerjaan continues to improve competence in all aspects of service while developing various programs and benefits that can be directly enjoyed by workers and their families. Non-Wage Recipient Workers (BPU) are employees who carry out economic activities or businesses independently to earn income from their activities or business. The problem that hinders the length of data collection for BPJS Employment participants is the process of determining the social security program that will be taken by Non-Wage Recipient (BPU) workers from the program taken by BPJS Ketenagakerjaan participants. owned is very small and only enough for the daily needs of participants. Data Mining is a data mining process in very large amounts of data using statistical, and mathematical methods, and utilizing the latest Artificial Intelligence technology. Data mining in the process of grouping data can use a grouping method, namely the Clustering method. The system is designed with the MATLAB R2014a programming application, after testing with the system, the results obtained are that in group 1 there are 370 data, group 2 there are 359 data and group 3 there are 271 data with a total of 100 data participants.
Implementasi Analisa Persediaan Barang Menggunakan Metode Apriori Pada Percetakan Indah Jaya Berbasis WEB Ananda, Aulia; Syahputra, Siswan; Arliana, Lina
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.v6i2.190

Abstract

Percetakan adalah sebuah proses industri untuk memproduksi secara massal tulisan dan gambar, terutama dengan tinta di atas kertas menggunakan sebuah mesin cetak. Kegiatan percetakan ini bukan hanya masalah persediaan barang saja, namun menuntut sebuah sistem penempatan kerja yang akan membuat hasil transaksi dan persediaan menjadi lebih tersistematis dan komputerisasi. Dengan menggunakan metode apriori pada percetakan indah jaya berbasis web diharapakan untuk mengetahui persediaan barang di gudang dan mengetahui barang keluar dan masuk pada percetakanindah jaya.dalam perhitungan di dapatkan transaksi yang sering terjadi yaitu amplop dan kertas hvs. Maka dalam transaksi yang akan datanng akan dapat di analisi lebih baik.
OPTIMALISASI RUTE PENGANGKUTAN SAMPAH MENGGUNAKAN METODE TRAVELLING SALESMAN PROBLEM (STUDI KASUS DINAS LINGKUNGAN HIDUP KOTA BINJAI) Pratiwi, Annisa; Syahputra, Siswan; Arliana, Lina
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.v6i2.192

Abstract

Sampah merupakan suatu permasalahan lingkungan yang tidak ada hentinya dan permasalahan dari sampah perlu dipikirkan dan ditanggulangi bersama. Rute pengangkutan sampah dari Tempat Pembuangan Sementara ke Tempat Pembuangan Akhir (TPA) selama ini masih kurang optimal karena terdapat beberapa rute dengan kendaraan yang mengangkut sampah tidak memaksimalkan kapasitas kendaraan. Penelitian ini bertujuan untuk menentukan rute optimal pengumpulan sampah di kota binjai dalam hal waktu dan biaya. Travelling Salesman Problem (TSP) digunakan untuk memodelkan masalah optimasi. Hasil analisis menunjukkan bahwa terjadi efisiensi pada waktu dan jarak pada rute yangdiusulkan sehingga menghemat 50,2 menit dan 0,9 km untuk setiap operasi layanan.
Pelatihan Pembuatan Eco Enzym bagi Mahasiswa Baru STMIK Kaputama TA. 2024-2025 Sebagai Bentuk Kepedulian Kampus pada Pelestarian Lingkungan Arliana, Lina; Maulita, Yani; Fauzi, Ahmad; Novriyenni, Novriyenni; Sihombing, Anton; Ambarita, Indah; Simanjuntak, Magdalena; Syahputra, Siswan; Khair, Husnul; Pramana, I Gusti; Annatasia, Kristina; Puspadini, Ratih; Selfira, Selfira; Sitompul, Melda Pita Uli; Khadafi, Muammar
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growing volume of household organic waste poses a serious challenge to environmental sustainability. Through this community service program, STMIK Kaputama offers an educational and practical solution by involving first-year students in Eco Enzyme production training. Eco Enzyme, a fermented product derived from organic kitchen waste, has been proven to provide various benefits such as an eco-friendly cleaner, liquid fertilizer, and natural deodorizer, serving as an effective alternative to harmful chemical-based products. During the student orientation program (PKKMB), 300 students participated in a series of activities, including environmental education, fermentation practice, and harvesting of Eco Enzyme. The results demonstrated improvements in students’ knowledge and skills, with the expectation of long-term behavioral changes in managing waste at its source. The program successfully produced more than 300 liters of Eco Enzyme and significantly reduced organic waste disposal to landfills. More importantly, it cultivated environmentally conscious student leaders. Engaging first-year students in this real-world initiative serves as a strategic effort to instill sustainability values and foster a culture of environmental responsibility both within the campus and the broader community.
Co-Authors Ambarita, Indah Ananda, Aulia Annatasia, Kristina Annisa Pratiwi, Annisa Fauzi Ahmad Muda Khair, Husnul Melda Pita Uli Sitompul Muammar Khadafi Novriyenni, Novriyenni Pramana, I Gusti Ratih Puspadini Selfira, Selfira Sihombing, Anton Simanjuntak, Magdalena Syahputra, Siswan Yani Maulita Zema