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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL ILMIAH MATEMATIKA DAN TERAPAN KOMPUTIKA - Jurnal Sistem Komputer Parameter: Journal of Statistics MULTIPLE: Journal of Global and Multidisciplinary Tadulako Science and Technology Journal Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Khazanah Journal: Economics, Muamalah dan Entrepreneurship
Rais
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Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Tengah Berdasarkan Indikator Pembangunan Ekonomi Menggunakan Fuzzy Geographically Weighted Clustering Maliku, E T; Rais; Fajri, M
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.i1.15868

Abstract

Pembangunan ekonomi merupakan proses kegiatan yang dilakukan oleh negara dalam mengembangkan kegiatan ekonomi untuk meningkatkan taraf hidup dalam jangka panjang. Ketimpangan pembangunan ekonomi terjadi karena adanya perbedaan sumber daya alam dan kondisi geografis yang dimiliki oleh masing-masing wilayah. Analisis cluster merupakan solusi untuk memetakan masalah tersebut. Fuzzy Geographically Weighted Clustering (FGWC) adalah salah satu metode clustering yang merupakan integrasi dari metode fuzzy clustering klasik dan unsur geo-demografi, sehingga cluster yang terbentuk akan sensitif terhadap efek lingkungan dan berpengaruh pada nilai-nilai pusat cluster. Hasil penelitian diperoleh 3 cluster optimum dengan karakteristik setiap cluster yang relatif berbeda berdasarkan indikator pembangunan ekonomi. Cluster 1 dengan pembangunan ekonomi rendah, cluster 2 dengan pembangunan ekonomi tinggi, dan cluster 3 dengan pembangunan ekonomi sedang.
Prediksi Tingkat Produksi Padi di Sulawesi Tengah Menggunakan Analisis Algoritma FBprophet Krisdianto, A H; Rais; Fiskia, N; Sain, H
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 19 No. 2 (2022)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2022.v19.i2.16062

Abstract

Padi yang memiliki Bahasa latin Oryza sativa L adalah tanaman penting yang menjadi makanan pokok bagi bangsa Indonesia, Provinsi Sulawesi Tengah merupakan salah satu daerah yang sesuai untuk pengembangan produksi padi dan total produksi padi di Provinsi Sulawesi Tengah pada 2 tahun terakhir mengalami penurunan. Dari pemasalahan yang dibahas sebelumnya memunculkan gagasan untuk meramalkan produksi padi kedepannya sebagai langkah untuk tetap menjaga ketersediaan stok padi. FBprophet merupakan salah satu metode peramalan yang cocok untuk meramalkan produksi padi di Provinsi Sulawesi Tengah. Hasil penelitian menunjukkan hasil peramalan produksi padi mengalami penurunan pada tahun 2022 dan 2023 yang akan datang. Adapun nilai MAPE (mean absolute percentage error) sebesar 0.36% yang terdapat pada rentang dibawah 10% hal ini mengindikasikan bahwa tingkat kesalahannya sangat rendah atau tingkat akurasi peramalan dikategorikan sangat baik.
Linear Trend Regression Analysis On Gold Forecasting For Investment In Indonesia During The Covid-19 Pandemic Nursyahraini Husen; Rais; Lilies Handayani
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.15999

Abstract

Linear trend regression is also known as straight line trend, is a form of linear trend, that is trend whose variable X is (Time Period) highest rank one. The purpose of this study is to look at the model and predict the amount of gold prices during the COVID-19 pandemic in Indonesia using the linear trend regression method. The results obtained for the model of the total price of gold during the COVID-19 pandemic in Indonesia are Y = 623584.1 + 6129.1X + . As for forecasting the amount of gold prices for investment during the COVID-19 pandemic in Indonesia for the next 6 months using the linear trend regression method, it increases every month, it can be concluded that gold is suitable for investment because the price tends to rise, especially during the Covid-19 pandemic in Indonesia.
Estimasi Peluang Gempa Bumi Menggunakan Metode Maksimum Likelihood Dan Distribusi Poisson Di Wilayah Sulawesi Tengah Jamidun; Nur'Eni; Rais
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 20 No. 2 (2023)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2023.v20.i2.16683

Abstract

Sulawesi Tengah merupakan salah satu daerah yang sering dilanda gempa bumi. Hal ini mengindikasikan bahwa daerah ini memiliki aktifitas seismik yang cukup tinggi. Secara geologi wilayah ini mendapat tekanan karena interaksi tumbukan 3 lempeng utama dunia yakni lempeng Eurasia, Indo Australia dan Pasifik Akibat tumbukan tersebut menyebabkan terbentuknya beberapa Sesar yang aktif. Gempa bumi yang menyebabkan liquifakasi dan sunami di Sulawesi Tengah pada 28 September 2018 sumber gempanya berada dijalur lintasan sesar Palu Koro di kedalaman 10 km di bawah dasar permukaan laut pada jarak 80 km barat laut Kota Palu. Waktu kejadian gempa bumi besar hingga saat ini belum ada ahli yang bisa meprediksi secara tepat. Untuk itu melalui kajian ini kami melakukan pendekatan untuk memprediksi waktu kejadian gempa bumi ini dengan melakukan analisis secara statistik menggunakan metode maksimum likelihood dan distribusi Poisson dari data data gempa bumi yang pernah terjadi. Nilai parameter seismotektonik () dari hubungan magnitudo dengan frekuensi gempa bumi, diperoleh nilai yang terbesar pada region I untuk gempa menengah yakni sebesar 0,8065, hal ini menyatakan bahwa pada daerah region I merupakan daerah rawan terjadi gempa bumi karena kemampuan untuk meredam energi penggeseran sesar relatif kecil sehingga tingkat kerapuhan material yang tersusun di dalam bumi tersebut yang jika diberi gaya sedikit akan terjadi patahan dan kemudian terjadilah gempa bumi.
Biserial Point Correlation to Measure The Relationship Between The Characteristics of Health Workers at Undata Palu Hospital with Antibody Levels Fadjriyani; Mohammad Fajri; Hartayuni Sain; Gamayanti, Nurul Fiskia; Rais
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17109

Abstract

Correlation analysis is a term in statistics commonly used to study the relationship between variables. The purpose of this analysis technique is to get a pattern of the closeness or strength of the relationship between two variables expressed by the correlation coefficient. The correlation coefficient is a value that indicates whether or not there is a strong linear relationship between two variables. This study aims to find the relationship between the characteristics of health workers at Undata Hospital Palu and antibody levels. The characteristics of health workers are nominal data with two categories while antibody levels are measured using ratio or interval data. This type of data is suitable to be analyzed using point biserial correlation technique. There are several variables of respondent characteristics that influence immune performance, namely gender, presence or absence of comorbidities, smoking habits, health conditions, exercise habits, close contact with patients and vaccine history. The results of the correlation analysis showed that all respondent characteristic variables had a very weak correlation with antibody levels. This is indicated by the correlation coefficient value of each variable of 0.034; 0.062; 0.063; 0.074; 0.020; 0.079 and 0.119. This means that the characteristics of respondents do not really affect the rise and fall of antibody levels. However, vaccine history has the highest correlation coefficient compared to other variables. This indicates that one of the prevention efforts against infectious diseases is the administration of vaccines.
Pengaruh Metode Latihan Atletik Dan Kelincahan Terhadap Kebugaran Jasmani Siswa Sekolah Dasar Rais; Musnar Indra daulay; Imam Hanafi
MULTIPLE: Journal of Global and Multidisciplinary Vol. 2 No. 10 (2024): Oktober
Publisher : Institute of Educational, Research, and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk menyelidiki pengaruh metode latihan atletik dan kelincahan terhadap kebugaran jasmani siswa sekolah dasar. Jenis penelitian yang digunakan adalah eksperimen dengan melibatkan populasi siswa sekolah dasar di SDN. Metode latihan atletik yang diterapkan mencakup berbagai aktivitas fisik seperti lari, lompat, dan lempar, sedangkan latihan kelincahan fokus pada pengembangan kemampuan motorik seperti koordinasi, keseimbangan, dan reaksi tubuh terhadap perubahan gerakan.Hasil uji normalitas menunjukkan data pre-test dan post-test kebugaran jasmani berdistribusi normal (Kolmogorov-Smirnov pre-test: Sig. 0.150, post-test: Sig. 0.200; Shapiro-Wilk pre-test: Sig. 0.093, post-test: Sig. 0.274). Uji paired t-test menunjukkan peningkatan signifikan pada kebugaran jasmani siswa dengan nilai rata-rata pre-test sebesar 55.00 dan post-test sebesar 86.54 (mean difference: -31.538, t = -24.007, Sig. 0.000). Hasil penelitian menunjukkan bahwa kedua metode latihan ini secara signifikan meningkatkan kebugaran jasmani siswa sekolah dasar. Penelitian ini memberikan kontribusi penting dalam pengembangan program latihan fisik yang efektif dan dapat diintegrasikan ke dalam kurikulum pendidikan jasmani di sekolah dasar.
Implementasi Etika dalam Bisnis Islam terhadap Persaingan Usaha Pelaku UMKM di Pasar Senggol Kota Pare-Pare A. Melantik Rompegading; Lukman; Rais; Shadri
Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Vol. 2 No. 3 (2024): Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Volume 2 Nomor 3 October 2024 - J
Publisher : PT PUSTAKA CENDEKIA GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pchukumsosial.v2i3.72

Abstract

This study aims to examine the implementation of ethics in Islamic business towards business competition of MSME actors in Senggol Market, Pare-pare City by focusing on the formulation of the problem about, 1. What is the form of buying and selling activities of MSME actors in Senggol Market, Pare-pare City? 2. What influences the implementation of Islamic business ethics towards MSME actors in Senggol Market, Pare-pare City? This study was conducted using a field research approach through the process of collecting, processing, presenting, and analyzing data in order to reveal the truth of knowledge scientifically, so as to produce valid findings. This method is designed to provide accurate answers to the problems studied. In analyzing the issues discussed, the author utilizes the implementation theory and the theory of Islamic business ethics. The results of this study indicate that the buying and selling activities carried out by MSME actors in Senggol Market, Parepare City can be seen from the aspects of product, price, and service. In addition, there are four main competition factors that occur in this area, namely competition in products, prices, locations, and services. The implementation of Islamic business ethics is measured based on several principles, namely the principles of monotheism, honesty, freedom of will, and responsibility. Most MSME actors have implemented these principles, although there are still some who have not fully implemented them.
Sistem Monitoring Kapasitas dan Kualitas Air dengan Metode SWAT (Smart Water Meter) menggunakan Protokol Lora berbasis IoT Bakti, Very Kurnia; Abdul Basit; Rais; Wiwit Suryanto
Komputika : Jurnal Sistem Komputer Vol. 14 No. 1 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i1.15051

Abstract

Penyedia Air Minum dan Sanitasi Berbasis Masyarakat atau biasa disebut Pamsimas merupakan program pemerintah, Pamsimas Tirta Abadi di Desa Rangimulya Kecamatan Warureja Kabupaten Tegal dengan jumlah penduduk sekitar 3104 Jiwa, Pamsimas Tirta Abadi memiliki 120 pelanggan dan keberadaan Pamsimas sangat penting bagi masyarakat. Dalam menghitung penggunaan air bersih pengelola Pamsimas masih menggunakan meteran air analog, banyak potensi kesalahan dalam pencatatan penggunaan air.  Penerapan  IoT  bisa menjadi solusi, sensor yang memungkinkan untuk menghitung penggunaan air adalah sensor waterflow dipadukan dengan ESP32 dan modul LoRa. dari beberapa teknologi tersebut dibangun sebuah sistem meteran air cerdas atau smart water meter dengan tujuan meningkatkan pelayanan dan pendapatan.  Metode pada smart water meter ini membaca kondisi air dengan penggunaan sensor, sensor waterflow membaca nilai kubikasi dengan konstanta 9,5 dengan nilai 5,9 dari uji pembacaan air 1 Liter, nilai baca 4.00 pada sensor PH  memiliki nilai pH mulai dari 0 hingga 7, sensor turbidity mendeteksi tingkat kejernihan / kekeruhan yang diperoleh Sensor Turbidity Output (v): 4.42 dengan NTU: 0.52. GPS sensor mengirimkan latitude dan longitude pada gateway untuk melihat titik pelanggan, Data semua sensor yang terbaca dikirim dari node kepaa gateway dengan modul lora pada frekuensi 915E6 dan ditampilkan pada interface berbasis website menggunakan modul internet ESP32. Kata Kunci: PAMSIMAS, IoT, Lora, waterflow, PH, Turbidity, GPS
Rotation Double Random Forest Algorithm to Predict The Food Insecurity Status of Households Rais; Agus Mohamad Soleh; Budi Susetyo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 1 (2024): February 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i1.5540

Abstract

The ensemble tree method has been proven to handle classification problems well. The strength of the ensemble tree technique lies in the diversity and independence between each tree. Increasing the diversity of mutually independent decision trees improves the performance of the model. Various studies propose the development of ensemble tree-based models by forming algorithms that create decision trees that are formed independently of each other and have various inputs. These include random forest (RF), rotation forest (RoF), double random forest (DRF), and the latest is rotation double random forest (RoDRF). RoDRF rotates or transforms data with the intent of producing better diversity among the learning base. RoDRF applies the concept of variable rotation to trees based on the DRF algorithm. Random rotations or transformations on different feature subspaces produce different projections, leading to better generalization or prediction performance. This research aims to compare the performance of RoDRF with the RF, RoF, and DRF models on unbalanced data in cases of food insecurity. Class imbalance will be handled with two methods, namely EasyEnsemble and SMOTE-NC. The research results show that the DRF's model with EasyEnsemble techniques produces a model with the best performance among several algorithms tested. Although the resulting precision is 0.62274 and the AUC value is 0.68501, the model can predict each class equally. All algorithms with EasyEnsemble treatment have average AUC values significantly different from each other based on statistical test results. This research also used SHAP to explain variables that significantly contribute to the household's food insecurity status model.
Intervention Model Analysis The Number of Domestic Passengers at Sultan Hasanuddin Airports Andi Ferosita Sustrisno; Rais; Setiawan, Iman
Parameter: Journal of Statistics Vol. 1 No. 1 (2021)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.479 KB) | DOI: 10.22487/27765660.2021.v1.i1.15436

Abstract

Domestic passengers are objects whose travel / flight transportation services only cover the domestic area. The increase or decrease in the number of domestic passengers is usually influenced by the occurrence of intervention. This research uses the intervention analysis. Intervention analysis is the time series analysis to model data that is determined by the presence of an intervention. Intervention analysis is one of the time series analysis to model data that are affected by the occurrence of a particular event in a short period of time, such as accidents, natural disasters, and promotions. This research is used to establish intervention model with pulse function of passengers of domestic Sultan Hasanuddin Airport. The result of the research were obtained the model Seasonal ARIMA .There were 6 intervention times during 2006 - 2018, by entering the intervention order b = 0, s = 0, and r = 1 based on the smallest AIC value is -303,66 with MAPE value is 6,1023.
Co-Authors A. Melantik Rompegading Abdul Basit Agus Mohamad Soleh Andi Ferosita Sustrisno Andi Hendra Syam Budi Susetyo Fadjriyani Fajri, M Fiskia, N Gamayanti, Nurul Fiskia Hartayuni Sain Imam Hanafi Jamidun Jassinca Chrissma Audina Krisdianto, A H Lilies Handayani Lukman Maliku, E T Mohammad Fajri Musnar Indra Daulay Nur'Eni Nursyahraini Husen Sain, H Setiawan, Iman Shadri Suryanto, Wiwit Very Kurnia Bakti, Very Kurnia