Claim Missing Document
Check
Articles

Found 28 Documents
Search
Journal : JURNAL ILMIAH MATEMATIKA DAN TERAPAN

OPTIMALISASI PENDISTRIBUSIAN PUPUK DI WILAYAH SULAWESI TENGAH MELALUI MODEL TRANSSHIPMENT DENGAN MENGGUNAKAN METODE VOGEL APPROXIMATION Safir, M; Musdalifah, S; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 12 No. 2 (2015)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.741 KB) | DOI: 10.22487/2540766X.2015.v12.i2.7913

Abstract

OPTIMALISASI PENDISTRIBUSIAN PUPUK DI WILAYAH SULAWESI TENGAH MELALUI MODEL TRANSSHIPMENT DENGAN MENGGUNAKAN METODE VOGEL APPROXIMATION
APLIKASI METODE GOAL PROGRAMMING PADA PERENCANAAN PRODUKSI KLAPPERTAART PADA USAHA KECIL MENENGAH (UKM) NAJMAH KLAPPERTAART Sutrisno, D; Sahari, A; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 14 No. 1 (2017)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.557 KB) | DOI: 10.22487/2540766X.2017.v14.i1.8351

Abstract

APLIKASI METODE GOAL PROGRAMMING PADA PERENCANAANPRODUKSI KLAPPERTAART PADA USAHA KECIL MENENGAH(UKM) NAJMAH KLAPPERTAART
MERANCANG APLIKASI SMS GATEWAY SEBAGAI UPAYA PELAYANAN INFORMASI KEPATUHAN WAJIB PAJAK DI KPP PRATAMA PALU Khairiah, J; Ratianingsih, R; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 14 No. 1 (2017)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.146 KB) | DOI: 10.22487/2540766X.2017.v14.i1.8352

Abstract

MERANCANG APLIKASI SMS GATEWAY SEBAGAI UPAYA PELAYANANINFORMASI KEPATUHAN WAJIB PAJAK DI KPP PRATAMA PALU
PREDIKSI KUALITAS AIR BERSIH PDAM KOTA PALU MENGGUNAKAN METODE BACKPROPAGATION Mustakim, J R; Ratianingsih, R; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 14 No. 1 (2017)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (633.452 KB) | DOI: 10.22487/2540766X.2017.v14.i1.8353

Abstract

PREDIKSI KUALITAS AIR BERSIH PDAM KOTA PALU MENGGUNAKANMETODE BACKPROPAGATION
APLIKASI MODEL NEURO FUZZY UNTUK PENGONTROL TINGKAT INFLASI DI PROVINSI SULAWESI TENGAH Rivaldi, Rivaldi; Ratianingsih, R; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 14 No. 1 (2017)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (768.463 KB) | DOI: 10.22487/2540766X.2017.v14.i1.8357

Abstract

APLIKASI MODEL NEURO FUZZY UNTUK PENGONTROL TINGKAT INFLASIDI PROVINSI SULAWESI TENGAH
KLASIFIKASI STATUS GIZI IBU HAMIL UNTUK MENGIDENTIFIKASI BAYI BERAT LAHIR RENDAH (BBLR) MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS DI PUSKESMAS LABUAN) Oganis, C; Musdalifah, S; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 14 No. 2 (2017)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.375 KB) | DOI: 10.22487/2540766X.2017.v14.i2.9017

Abstract

KLASIFIKASI STATUS GIZI IBU HAMIL UNTUK MENGIDENTIFIKASI BAYIBERAT LAHIR RENDAH (BBLR) MENGGUNAKAN METODE SUPPORTVECTOR MACHINE (SVM) (STUDI KASUS DI PUSKESMAS LABUAN)
DETEKSI RABUN JAUH (MIOPIA) BERBASIS PENGOLAHAN CITRA DIGITAL MENGGUNAKAN METODE BWAREA Anwar, C; Sudarsana, I W; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 14 No. 2 (2017)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.91 KB) | DOI: 10.22487/2540766X.2017.v14.i2.9024

Abstract

DETEKSI RABUN JAUH (MIOPIA) BERBASIS PENGOLAHAN CITRA DIGITAL MENGGUNAKAN METODE BWAREA
MENGKAJI PERILAKU HARGA KOMODITI PANGAN DI KOTA PALU MENGGUNAKAN METODE BACKPROPAGATION Peole, I N; Ratianingsih, R; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 1 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692.259 KB) | DOI: 10.22487/2540766X.2018.v15.i1.10199

Abstract

Artificial neural network is an information processing paradigm that is inspired by biological neural cell systems, like the brain, that processes information. The purpose of this research is to develop neural networks to predict the price of food commodities using backpropagation method. The research was conducted by using the rate of monthly price of food commodities in Palu from January 2011 - December 2015. The data is used to predict food commodity prices forduring 2016. The backpropagation networks consists of three layers. The first layer of input is constructedin the form of monthly prices of IR 64, ciherang, membramo, cimandi, superwin, sintanur, cisantana, sticky black, sticky white, yellow corn dry, white corn, soybeans, peanuts, green beans, cassava, sweet potato, onion, garlic, red pepper large, red pepper curls, cayenne pepper, cabbage round, potatoes, tomatoes, carrots, cauliflower, beans, onion, avocado, red apples, green apples, oranges, jackfruit, mango, pineapple, papaya, banana, banana horns, rambutan, bark, olive, durian, watermelon, and mangosteen from January – December that consist of 12 variables. One hidden layer consistof five neurons and the other one is the output, that is  the food commodity prices. The training process shows that on a maximum iterations on 500, constant learning rate 0,3 and 0,6 momentum, the predictions have 97.92% of level accuracy. The identification resultof food commodity prices behavior in Palu is predicted as follow: IR 64 Rp7.387, ciherang Rp8.182, membramo Rp8.150, cimandi Rp8.131, superwin Rp8.228, sintanur Rp8.660, cisantana Rp8.122, black sticky rice Rp21.383, white sticky rice Rp16.558, dry yellow corn Rp5.983, white corn Rp9.283, soybeans Rp14.600, peanuts Rp20.008, green beans Rp16.375, cassava Rp8.225, sweet potato Rp8. 542, red onion Rp28.550, garlic Rp21.208, red chili Rp27.308, curly red chili Rp23.650, cayenne Rp36.450, round cabbage Rp6.833, Rp12.067 potatoes, tomatoes Rp6.108, carrots 11.000, cauliflower Rp8.625, beans Rp10.333, scallion Rp25.242, avocado 11.000, red apple Rp29.023, green apple Rp31.067, orange Rp6.083, jackfruit Rp23.483, mango Rp11.187, pineapple Rp8.183, papaya Rp10.600, bananas Rp8.481, horn banana Rp2.683, rambutan Rp8.450, barking Rp5.625, tan Rp8.366, durian Rp19.208, watermelon Rp14.528 and mangosteen Rp18.067. It is predicted that the food commodity prices increased monthly.
RANCANG BANGUN SISTEM INFORMASI AKADEMIK FMIPA UNIVERSITAS TADULAKO BERBASIS ANDROID Prasetyo, W F; Sudarsana, I W; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 2 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.098 KB) | DOI: 10.22487/2540766X.2018.v15.i2.11350

Abstract

Academic information system based on Android necessary to support the effectiveness management of academic data such as input card study plan and input the value of course. To build Siakad Android application, the authors do the research of the database web Siakad Faculty of Natural Science Tadulako University that includes all the data of students, faculty, courses, card study plan, and card study result. The purpose of this study was to obtain academic information system based on Android Tadulako University Faculty of Mathematics and Natural Sciences. This application is built with features such as view bio, view the result of study, view the transcript, input study plan card, input result study card, wait confirm of study plan, and confirm study plan. Based on the results and discussion, it can be concluded that academic information system can support the effectiveness of academic data processing, such as the study plan input, and the input value of the course.
OPTIMALISASI BIAYA DAN WAKTU PELAKSANAAN PROYEK PEMBANGUNAN PERUMAHAN CITRALAND PALU MENGGUNAKAN METODE PROGRAM EVALUATION AND REVIEW TECHNIQUE (PERT) – CRITICAL PATH METHOD (CPM) Wardani, N M E; Musdalifah, S; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 2 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.976 KB) | DOI: 10.22487/2540766X.2018.v15.i2.11353

Abstract

This study aimed to optimize the cost and time of implementation of development projects in residential homes Citraland located in the town of Palu subdistrict villages Mantikulore Tondo. Completion of construction of residential houses has been delayed time of completion of the construction. This leads to greater costs incurred in development projects. Therefore, to solve these problems is necessary to analyze the optimization of project time to determine how long a project is completed. Optimization of costs and project execution time is calculated using the Critical Path Method (CPM). The method is based on the results obtained, namely the normal completion time of the project for 69 weeks with a total cost of Rp. 297,887,212.00. Aftertime optimization through crashing eachthe implementation of the activities of the development to 48 weeks with a total cost of Rp. 350,261,175.00. The probability of completion of project design development using methods Program Evolution and Review Technique (PERT) is great opportunity to complete the project work for 48 weeks amounted to 93.19%