Indra
Universitas Sulawesi Barat

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Prediksi Jumlah Kasus Penyakit Diare Menggunakan Metode Triple Exponential Smoothing (TES) Indra Indra; Nurdina Rasjid
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol 11, No 2 (2021): Jurnal Inspiration Volume 11 Issue 2
Publisher : STMIK AKBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v11i2.2649

Abstract

Disease problems are one of the main factors in efforts to improve public health. This is because the number of patients continues to grow and even has an impact on death if it is not treated immediately so that preparation is needed to deal with the situation of increasing the number of cases. One of the endemic diseases that often occurs in Indonesia is diarrhea. The number of cases of diarrhea that occurs has the potential to be an extraordinary event so it deserves special attention. Prediction or forecasting is an effort to find out when a spike in cases will occur so that it can be anticipated early. This study aims to predict the number of cases of diarrhea disease that occurs using the Triple Exponential Smoothing method. The data used in this study is in the form of time series data obtained from the Majene Regional General Hospital for four years in the 2015-2018 period. Based on the results of tests carried out with an optimum alpha value of 0.097, the Triple Exponential Smoothing method is effective in forecasting or predicting the number of cases of diarrhea disease with a MAPE value of less than 10%.
RANCANGAN ALAT MONITORING AIR LAYAK KONSUMSI BERBASIS MIKROKONTROLER Nurdina Rasjid; Indra Indra; Muhammad Alfikri
PHYDAGOGIC : Jurnal Fisika dan Pembelajarannya Vol 4 No 2 (2022): Phydagogic : Jurnal Fisika dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/phy.v4i2.1636

Abstract

Penelitian ini bertujuan untuk merancang alat monitoring air layak konsumsi berbasis mikrokontroler agar dapat memudahkan karyawan PAMSIMAS dalam memantau air layak konsumsi yang sesuai dengan standar dan aturan Menteri Kesehatan. Metode perancangan sistem menggunakan sensor ph, kekeruhan, tds dan suhu. Hasil penelitian ini menunjukkan bahwa rancangan alat berfungsi sangat baik dengan melakukan beberapa pengujian, sehingga rancangan ini dapat membantu masyarakat desa taan dalam memonitoring air layak konsumsi yang terukur menggunakan mikrokontroler arduino uno sebagai perangkat utama.
Penerapan Logika Fuzzy untuk Menentukan Jumlah Produksi Beras Berdasarkan Data Persediaan dan Jumlah Permintaan (Studi Kasus UD Siregar Wonomulyo) Indra
JTRISTE Vol 3 No 2 (2016)
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.108 KB)

Abstract

The maximum benefit is obtained from the maximum sales. If the number of products manufactured by the company is less than the demand, the company will lose the opportunity to gain the maximum profit and vice versa. Therefore, planning the number of products in the UD. SIREGAR very important. In order to meet market demand with the right and by a corresponding amount. Factors to consider in determining the amount of the product, among other things: the amount of supply and demand. Writing and discussion in this study is about Fuzzy, Use case, class diagrams, object diagrams, activity diagrams, application of Fuzzy to determine the amount of production is based on the number of request and supplies, and the draft form Application of Fuzzy Logic for Determining the Total Production of Goods Data Inventory and number of requests at UD. SIREGAR To create a draft program that is expected to be applied and used, so as to help the process of determining the amount of production and inventory and request based on UD. SIREGAR Fuzzy Logic in determining the amount of rice based on the number of supply and demand that has been built can be used to assist companies in taking a decision with the truth value reaching 98.41902%.
Sistem Deteksi Penggunaan Masker secara Real Time menggunakan Metode Eigenface dan Support Vector Machine Nahya Nur; Indra Indra; Farid Wajidi; Iin Aisyah Khofifah
Jurnal Komputer Terapan  Vol. 8 No. 2 (2022): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.23 KB) | DOI: 10.35143/jkt.v8i2.5449

Abstract

At the beginning of 2020, Indonesia was shocked by the outbreak of a virus called Covid-19. One of the measures to prevent the spread of the epidemic is to wear a mask. In this research, a real-time mask detection system will be developed using eigenface and support vector machine (SVM). There are three main stages in this research, namely reading the image through the camera, calculating the eigenvalues, and classifying using SVM. The results of the classification consist of two classes, namely masked and unmasked. In general, if the eigenvalues ​​of the testing image are closer to the masked image, the output is masked and vice versa. The results of the research are quite good where the test is carried out through several test scenarios including considering lighting conditions, use of accessories, object distance from the camera, and so on. Most of the results obtained through system testing can distinguish masked and unmasked faces in real time.
Multiple Traveling Salesman Problem menggunakan Algoritma Ant Colony Optimization dengan Operasi Elitism Sugiarto Cokrowibowo; Ismail; Indra
Journal of Computer and Information System ( J-CIS ) Vol 3 No 1 (2020): J-CIS Volume 3 Issue 1 2020
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.204 KB) | DOI: 10.31605/jcis.v1i2.619

Abstract

The Multiple Traveling Salesman Problem (MTSP) is a combinatorial optimization problem and extension of Traveling Salesman Problem (TSP). There are many implementation of MTSP on transportation and scheduling. MTSP is an NP-hard problem. This paper study about solving MTSP using Ant Colony Optimization and Elitisme operator from Genetic Algorithm. The result of this combination algorithm enhance the solution search performace because of the elitism operation which ensure the solution value always increase.