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A I Jaya
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Penerapan Sistem Antrian Sebagai Upaya Mengoptimalkan Pelayanan Pembayaran Pajak Kendaraan Bermotor Di Kantor Samsat Kota Palu Serlyng; A I Jaya; A Sahari
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 2 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.35 KB) | DOI: 10.22487/2540766X.2019.v16.i2.14992

Abstract

ABSTRACTOne phenomenon that often occurs in daily life is a queue phenomenon. When queue is too long, it will harm the customer, therefore improving system servicing and optimizing the number of servers expected to reduce the queue, so the process of waiting does not happen too long. In the process of payment of motor vehicle tax at SAMSAT Palu City, it has been known that the queuing system using model Multi Channel- Multi Phase. Thissystem occurs if there are two or more facilities serving with services more than one phase. The ains of thisreseareh are to determine the characteristics of quene system and to know the number of person that required in the process of rehiele tax payment so that the service becomes optimal. The results stated that each phases of 1,2,3 and 4 is consist of 2 person, and motor vehicle tax payment servises in SAMSAT Palu is 108,9 minutes forone customer. Once optimized, an alternative solution to queue problem in SAMSAT Palu city is added person.The addition of 3 person at phase 1, 4 person phase 2, 5 person at phase 3 and phase 4. Will shorten the queuelength from (108,9) minutes to (29,76) minutes for one customer.Keywords : Model Multi Channel- Multi Phase, Samsat Queue.
Prediksi Pendonor Darah Potensial Menggunakan Algoritma Learning Vector Quantitation (LVQ) (Studi Kasus : Unit Transfusi Darah PMI Kota Palu, Sigi Dan Donggala) N K Susiani; A I Jaya
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 1 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (800.597 KB) | DOI: 10.22487/2540766X.2020.v17.i1.15165

Abstract

Potential blood donors are blood donors who can donate their blood back after success through 2 stages of blood donation such as the physical health test (active) and the screening test (laboratory test). The purpose of this study are to obtain an application that can be used to predict potential blood donors who will donate their blood back at the PMI Palu, Sigi and Donggala Blood Transfusion Units, and to obtain their level of accuracy using the Learning Vector Quantitation algorithm. This prediction application for potential blood donors makes it easier for the public to know whether they can donate their blood or not. Classification is done using 300 data consisting of 70% training data and 30% testing data. The data used in this study are data taken in 2018. The accuracy of the best weighting in stage 1 is 95.56% obtained using the training rate (α) of 0.1≤α≤0.25 and the rate reduction training (decα) which is varied. While the best weighting results in stage 2 have an average accuracy rate of 100% obtained by using a training rate (α) of 0.000001≤α≤0.5 and a reduction in the rate of training (decα) which varies.
Analisa Pengendalian Persediaan Sepatu Pada PT. Buccheri Indonesia Menggunakan Metode Economic Order Quantity N K Sretiani; A I Jaya; N Nacong
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 1 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.967 KB) | DOI: 10.22487/2540766X.2020.v17.i1.15170

Abstract

PT. Buccheri Indonesia is a company engaged in the sale of shoes, sandals and bags. These days the high level of competition in the shoes and sandals industry makes every manufacturer of shoes and sandals must pay close attention to market changes. Inventory is the most important thing in a company and has an important influence on business functions, especially the operational functions of marketing, which includes ordering costs and storage costs, so inventory optimization is needed. In this study, the author uses the Economic Order Quantity method to optimize shoes inventory. This study aims find to are out the point of reorder, order frequency, and comparison between company policy and Economic Order Quantity method. PT. Buccheri Indonesia stipulates the number of orders on each time order is 5,943 pairs of shoes, with the frequency of ordering 48 times/year, and the inventory’s total cost is Rp.406,843,938. While using the Economic Order Quantity method the number of orders on each time is 7,214 pairs of shoes, the frequency ordering 39 times/year, and the inventory’s total cost is Rp.396,776,965.06. So, the difference cost of company policies and by using the Economic Order Quantity method, is Rp.10,066,972.94,-
Aplikasi Metode Simpleks Pada Optimalisasi Biaya Bahan Baku (Studi Kasus: Ukm Najmah Klappertart): Aplikasi Metode Simpleks Pada Optimalisasi Biaya Bahan Baku (Studi Kasus: Ukm Najmah Klappertart) D Damayanti; A I Jaya; Resnawati
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 2 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2020.v17.i2.15334

Abstract

ABSTRACT The purpose of this research is to obtain an the optimal production costs of Klappertart based on the basic ingredients comparing the production cost of Klappertart in Najmah Klappertart with production costs using the simplex method. The result showed that the optimal costs is ,-. This result is equal to the total cost of klappertart by SMEs Najmah Klappertart, so it can be concluded that the cost of production klappertart based on the basic ingredients on SMEs Najmah Klappertart were optimal. Keywords : Optimal Cost, Basic Ingredients, Production Costs. (A-Z), Simplex Method
Penerapan Sistem Antrian Sebagai Upaya Mengoptimalkan Pelayanan Rekonsiliasi Barang Milik Negara (BMN) Di Kantor Pelayanan Kekayaan Negara Dan Lelang Palu D Delfianti; A I Jaya; Resnawati
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 2 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2020.v17.i2.15335

Abstract

ABSTRACT The queue is an activity that arises because of the number of services the facility is less than the number who need the service. Kantor Pelayanan Kekayaan Negara dan lelang(KPKNL) Palu is one of the government agencies that implement a queuing system on reconciliation of State Owned Property (BMN) that it held every semester, where they just served the 337 of work units comparethe 700 of work unit within two weeks. This study aimed is to obtain the characteristics of the queue and the optimum number of servers in the service of reconciliation in KPKNL Palu using queues. The results showed the busiest time is on July 21, 2016. The addition of a server from 4 to 8 servers showed a decrease in the queue. It is perceptibly from a queue characteristics decrease in levels of activity server (ρ) from 75% to 20,8%, the number of work units waiting in the queue (Lq) of 1,53 2work units/ hour to 0 work unit/hour, the number of work units waiting in the system (Ls) of 4,53 5 work units/hour into 1,667 2 work units/hour, time waiting in queues (Wq) of 6,11 minutes to 0 minutes, the waiting time in the system ( Ws) of 18,11 minutes to 6,667 minutes and the number of work units that is served in 2 weeks are 700 work units. Keywords : Characteristics, Queue, Reconciliation of State Owned Property (BMN).
Optimalisasi Biaya Transportasi Pendistribusian Pupuk Bersubsidi Menggunakan Model Transportasi Metode Modified Distribusition (MODI) N Pertiwi; A I Jaya; Hajar
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 2 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2020.v17.i2.15337

Abstract

ABSTRACT This study was conducted to obtain the optimal transport costs in the distribution of subsidized fertilizer in PT. GCS and PT.PPI. This research was done in two steps is to create a transport model of the data obtained and determine its solution initially with Least Cost method, and determine the optimal solution with ModifiedDistribution (MODI) method. Based on research that obtained the initial solution is Rp. 65.040.000 and optimal solution is Rp. 64.950.000. While the cost of transportation from the company is RP. 70.500.000. This shows that both distributors can optimize the total cost of transport for the distribution of subsidized fertilizer in January 2017 with the distribution cost savings of Rp. 5.550.000. Keywords : Least Cost Method, Modified Method of Distribution, Optimization, Transportation
Optimalisasi Biaya Transportasi Pendistribusian Produk Pangan di Kota Palu Menggunakan Model Transportasi Metode Modified Distribution (Modi) (Studi Kasus: PT. Indomarco Adi Prima): Optimalisasi Biaya Transportasi Pendistribusian Produk Pangan Di kota Palu Menggunakan Model Transportasi Metode Modified Distribution (MODI) (Studi Kasus : PT. Indomarco Adi Prima) D Y Maslin; A I Jaya; N Nacong
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 18 No. 2 (2021)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2021.v18.i2.15711

Abstract

Setiap perusahaan di dunia selalu mengharapkan keuntungan yang semaksimal mungkin agar siklus hidup perusahaan tersebut berjalan dengan baik. Untuk itu, perusahaan tersebut harus mampu mengatur sedemikian rupa biaya yang digunakan agar tetap terjadi rentang antara pengeluaran dan pemasukan perusahaan. PT. Indomarco Adi Prima merupakan salah satu perusahaan yang bergerak dalam bidang produk pangan masih kesulitan untuk menentukan metode yang tepat dalam mengoptimalkan biaya transportasi. Oleh karena itu, penelitian ini bertujuan untuk memperoleh biaya transportasi optimal pada PT. Indomarco Adi Prima di kota Palu dengan menggunakan metode Modified Distribution (MODI). Dari hasil penelitian ini menunjukkan bahwa sebelum menerapkan metode Modified Distribution (MODI) biaya transportasi yang dikeluarkan oleh PT. Indomarco Adi Prima yaitu sebesar Rp. 61.510.000 dan biaya transportasi yang di hasilkan setelah menggunakan metode Modified Distribution (MODI) yaitu sebesar Rp. 55.565.000. Hal ini menunjukkan bahwa PT. Indomarco Adi Prima dapat mengoptimalkan biaya transportasi untuk pendistribusian produk pangan pada bulan Desember 2020 dengan penghematan biaya pendistribusian sebesar Rp. 5.945.000 atau sekitar 10,7%.
Prediksi Kelulusan Mahasiswa Tepat Waktu Menggunakan Metode Decision Tree dengan Penerapan Algoritma C4.5 F F Anwar; A I Jaya; M Abu
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 19 No. 1 (2022)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2022.v19.i1.15880

Abstract

Salah satu penentu kualitas perguruan tinggi adalah persentase kemampuan mahasiswa untuk menyelesaikan masa studi secara tepat waktu. Namun, dalam praktiknya hanya sedikit mahasiswa yang mampu menyelesaikan studinya di perguruan tinggi secara tepat waktu. Salah satu hal yang dapat dilakukan untuk meningkatkan kelulusan mahasiswa adalah prediksi kelulusan, sehingga dapat dilakukan pencegahan atau penanganan secara dini terhadap mahasiswa yang berpeluang tidak lulus tepat waktu. Oleh karena itu, penelitian ini dilakukan untuk memprediksi kelulusan mahasiswa tepat waktu dengan penerapan algoritma C4.5 dengan 16 atribut input dan 1 atribut target. Data yang digunakan adalah data alumni mahasiswa prodi matematika FMIPA UNTAD angkatan 2004 – 2015 sebanyak 225 data. Pohon keputusan dibangun dengan 150 data training dan diolah menggunakan algoritma C4.5 menghasilkan 40 rules, yang kemudian diuji menggunakan 75 data testing dengan hasil nilai accuracy 92% dan nilai AUC sebesar 0, 7138.
Co-Authors A Aras A Balomba A Sahari A W Rahmadani B Hidaen D Damayanti D Delfianti D Y Maslin Desy Lusiyanti F F Anwar G A Pratiwi Hajar Hasbi Hasbi M A Tadjuka M Abu M Anis M Maharani M Masita N K Sretiani N K Susiani N M A Pranati N Nacong N Nurwahyuni N Pertiwi Nurhidayah Nurhidayah R Usman Resnawati Rina Ratianingsih Rosida Rosida S Ayulinansyah S S Novrianti Santi Santi Serlyng Yulinda Yulinda Zulhajrah Zulhajrah