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Obe, Leonardus Frengky
Universitas Timor
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Journal : journal of mathematics theory and applications

 1 
Penerapan Fuzzy Inference System Tsukamoto dalam Menentukann Jumlah Produksi Tahu Pada Pabrik Alfaria KM 07 Kefamenanu Hendrika Yeni Meti; Grandianus Seda Mada; Leonardus Frengky Obe
Journal of Mathematics Theory and Applications Vol. 1 No. 1 (2022): Edisi Oktober 2022
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v1i1.3760

Abstract

Tofu is a food that is familiar to the people of Indonesia, because it contains many benefits and the price is cheap. One of the tofu production businesses in Timor Tengah Utara Regency is Alfaria's Tofu Business. Since its inception of this factory until 2019, the factory has experienced an increase in the number of production, but since the Covid-19 in 2020, the number of production has became uncertain due to social restrictions imposed by the government. There are many ways that can be done to determine the optimum production number, one of which is by using the Tsukamoto Fuzzy Inference System (FIS). The application of this method aims to provide a solution on how to determine the number of tofu that will be produced based on the number of vinegar and soybean raw materials, the availability of wood as fuel, the number of demand and supply of tofu. Then to determine the level of accuracy of the method used, an error check is carried out by comparing the difference between the predicted data and the actual data using the Mean Absolute Percentage Error (MAPE). Based on the results of calculations with Tsukamoto FIS, the number of tofu that must be produced by the Alfaria Tofu Factory throughout 2021 with an accuracy level of 96.25% is obtained, so it can be concluded that Tsukamato FIS method is very good to be used as a method for predicting the number of production for the Alfaria Tofu Factory.
Analisis Sistem Antrian dalam Optimalisasi Layanan pada Jabalmart Kefamenanu Deoniza Antonia Aprilita Lopez; Oktovianus R. Sikas; Faustianus Luan; Leonardus Frengky Obe
Journal of Mathematics Theory and Applications Vol. 1 No. 2 (2023): Edisi April 2023
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v1i2.3764

Abstract

The number of visitors who come to Jabalmart Kefamenanu causes a long queue in front of the cashier. Queuing discipline applied at Jabalmart Kefamenanu is First In First Out, that is customers who come first will be served first. The form of the queuing model in this study at Jabalmart Kefamenanu is a single-phase multi-chanel, namely two or more service facilities and flows through a sibgle line. The purpose of this research is to optimize service at the cashier at Jabalmart Kefamenanu. As for the results of this study, the average service time at each cashier is quite effective because each cashier has a level of service intensity (. That is cashier I level of service intensity () is 0,63, cashier II level of service intensity () is 0,6 and cashier III level of service intensity () is 0,231, it can be concluded that the optimal level of service at the Jabalmart Kefamenanu cashier is quite effective and has been said to be optimal.
Proyeksi Kelahiran Bayi Menggunakan Metode Adams-Bashforth-Moulton dan Milne-Simpson di Kecamatan Bikomi Tengah Maria Trisilda Kapitan; Faustianus Luan; Leonardus Frengky Obe
Journal of Mathematics Theory and Applications Vol. 3 No. 2 (2025): Edisi April 2025
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v3i2.9122

Abstract

Proyeksi kelahiran bayi merupkan salah satu aspek penting dalam perencanaan kependudukan dan kesehatan. Penelitian ini bertujuan untuk memproyeksikan jumlah kelahiran bayi di Desa Oenenu, Kecamatan Bikomi Tengah, menggunakan metode Adams-Bashforth-Moulton dan Milne-Simpson. Hasil penelitian menunjukan bahwa jumlah kelahiran bayi menggunakan metode Adams-Bashforth-Moulton pada Tahun 2024 sebanyak 33,20711 jiwa dengan errornya 0,704 x 10^(-3) dan pada Tahun 2025 sebanyak 39,38919 jiwa dengan errornya 0,89 x 10^(-3) sedangkan hasil penelitian dengan metode Milne-Simpson  menunjukan bahwa jumlah kelahiran bayi pada Tahun 2024 sebanyak 33,21803 jiwa dengan errornya 0,70 x 10^(-3) dan pada Tahun 2025 sebanyak 39,37006 dengan erronnya 0,14 x 10^(-3). Dari hasil penelitian menggunakan kedua metode menunjukkan bahwa metode Adams-Bashforth-Moulton memiliki tingkat akurasi yang lebih baik dibandingkan dengan metode Milne-Simpson. Dimana nilai error yang diperoleh harus lebih kecil dari  galat.
Co-Authors Adriana Leltakaeb Agustina Viktoria Tae Agustinus Mario Bere Bano, Elinora Naikteas Bernadina Metboki, Bernadina D. Fatin Damaris Lalang Deoniza Antonia Aprilita Lopez Desi Marida Babis Dethan, Nugraha K. F. Faustianus Luan Fried Markus Allung Blegur Hendrika Yeni Meti Josua Sahala Kristina Irnasari Naikofi Mada, Grandianus Seda Maria Magdalena Abi Maria Trisilda Kapitan Marselinus Banu Naitili, Adriana Natalius Nahak Oktovianus R. Sikas Pareira, Magdalena Sunarty Pasi, Maria Selfiana Sulasri Suddin Teti, Desriyani Yulianita Br. Kolo Tuas, Maria Angelina Vera Lakapeni Yuliana Kolo