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All Journal TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Saintekom (Sains dan Teknologi Komputasi)
Irmayansyah Irmayansyah
Universitas Binaniaga Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Penerapan Algoritma C4.5 Untuk Prediksi Keterlambatan Pembayaran Sumbangan Pembinaan Pendidikan (SPP) Santri Bayu Angkoso; Irmayansyah Irmayansyah
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 13, No 1 (2023)
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v13i1.166

Abstract

SPP is a mandatory fee for students used by Islamic boarding schools to facilitate all learning activities carried out by students, with a predetermined payment time. One of the problems in paying tuition fees is the case of students being late in paying tuition fees. The problem of late payment of tuition fees is something that must be considered because this can affect the implementation of education and fulfillment of needs and result in a decrease in the financial income of the pesantren. If the problem of late tuition payments can be predicted more quickly, then the management can prevent and anticipate earlier. To overcome this problem, the c4.5 algorithm is applied to predict late payment of tuition fees in order to produce a pattern based on the classification results. By using the variables of Parents' Income, Dependents, Father's Job, First Payment, Second Payment and Third Payment. This is done to see students who have the potential to be late in making tuition payments so that they can anticipate a decline in the financial income of the pesantren. In this study, the accuracy of the c.45 algorithm method has been tested for prediction of late tuition payments using the confusion matrix formula with an accuracy of 76.92%.
Penerapan Metode (Technique for Order of Preference by Similarity to Ideal Solution) TOPSIS Untuk Rekomendasi Prioritas Pelaksanaan Anggaran Pembiayaan Sekolah Menengah Kejuruan Swasta (SMKS) Aan Hanapi; Irmayansyah Irmayansyah
Jurnal SAINTEKOM (Sains dan Teknologi Komputasi) Vol 1 No 3 (2025): Desember 2025
Publisher : Lembaga Penelitian, Pengembangan, dan Pengabdian Kepada Masyarakat (LP3M) – Universitas Binaniaga Indonesia (UNBIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jskom.v1i3.57

Abstract

Anggaran adalah rencana keuangan tahunan yang disusun dan dikelola oleh pihak SMKS, yang mencakup perkiraan pendapatan dan belanja sekolah untuk menjalankan kegiatan operasional dan pengembangan sekolah selama satu periode anggaran Metode TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) digunakan sebagai pendekatan dalam penelitian ini untuk rekomendasi prioritas anggaran pembiayaan sekolah menengah kejuruan berdasarkan sejumlah kriteria yang relevan. Penelitian ini melibatkan langkah-langkah analisis sistematis, termasuk identifikasi kriteria pemilihan kriteria, pengumpulan data, penilaian bobot kriteria, dan peringkat kegiatan anggaran. untuk data penelitian ini diperoleh dari SMKS 1 Dasa Semesta Bogor menggunakan data komponen penggunaan anggaran pada penelitian ini, Uji hasil dengan menggunakan spearman rank sebesar 0,6854 yang termasuk dalam kategori “Kuat”. Hasil dari penelitian ini dapat memberikan panduan yang lebih efektif bagi Kepala Sekolah sebagai penjabat pembuat komitmen memberikan rekomendasi prioritas pada pelaksanaan anggaran pembiayaan sekolah menengah kejuruan untuk tahun yang akan datang yang optimal serta mengembangkan prototype aplikasi pemodelan metode TOPSIS dapat memberikan solusi yang objektif dan terukur dalam proses penentuan prioritas, Diharapkan bahwa hasil penelitian ini dapat memberikan keputusan akan menghasilkan rekomendasi prioritas pelaksanaan anggaran pembiayaan SMKS yang lebih tepat, efektif, dan sesuai dengan kriteria yang telah ditetapkan, dibandingkan dengan metode konvensional tanpa sistem pendukung keputusan
Penerapan Metode Fuzzy Tsukamoto Untuk Penentuan Negara Penyuplai Beras Pada Perusahaan Logistik Eneng Siti Nurjanah; Irmayansyah Irmayansyah; Leny Tritanto Ningrum
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3588

Abstract

Inaccuracy in determining rice supplier countries is currently a complex issue. This situation is influenced by various factors that are often difficult to predict and have the potential to suddenly change rice supply conditions. Extreme climate change and unexpected fluctuations in domestic demand can also influence decisions regarding rice supplier countries. Under these conditions, logistics companies require a more adaptive and responsive supply strategy to changes in rice availability. Selecting the right supplier country plays a crucial role in the operational efficiency and business sustainability of logistics companies. This study aims to apply the Fuzzy Tsukamoto method as a supporting tool in the process of determining rice supplier countries for logistics companies. The Tsukamoto method is used to calculate rice supplier categories by utilizing three input variables: import quantity, demand quantity, and rice quality. Meanwhile, the output variables are classified into three categories: low, medium, and high. The accuracy of the rice supplier country grouping results using the Tsukamoto method has been tested and obtained an accuracy value of 73.33%. The developed application prototype has also undergone user feasibility testing using the Post-Study System Usability Questionnaire (PSSUQ) instrument and resulted in a feasibility level of 91.1%.
Co-Authors Aan Hanapi Bayu Angkoso Eneng Siti Nurjanah Leny Tritanto Ningrum