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Implementasi Additive Ratio Assessment Model untuk Rekomendasi Penerima Manfaat Program Keluarga Harapan Fitriani Muttakin; Kartika Nadim Fatwa; Sarbaini Sarbaini
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 1 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i1.14786

Abstract

Kementerian Sosial Republik Indonesia melalui berbagai program mengkoordinir dan menyalurkan berbagai program bantuan sosial dan subsidi bagi masyarakat yang berada pada golongan prasejahtera, diantaranya yaitu Program Keluarga Harapan (PKH). Program ini merupkan langkah yang bertujuan  untuk memberikan dukungan ekonomi kepada keluarga dengan kondisi dibawah garis kemiskinan. Program ini menerapkan conditional cash transfer (CCT) dengan fokus kepada aspek-aspek peningkatan kesehatan keluarga, peningkatan kesejahteraan keluarga, dan  peningkatan pendidikan anak. Proses seleksi calon penerima manfaat PKH didapatkan dari analisis dan pertimbangan yang dilakukan oleh petugas pendamping PKH, sehingga keputusan yang dihasilkan rentan terhadap isu bias penilaian individu. Oleh karena itu, diperlukan strategi yang dapat meminimalkan subjektifitas dalam menentukan penerima manfaat PKH. Decision support systems (DSS) merupakan salah satu salah satu pendekatan yang dapat digunakan untuk memberikan solusi agar penyampaian manfaat PKH lebih tepat sasaran. Pada makalah ini, model additive ratio assessment (ARAS) dipilih untuk membantu pendamping PKH melakukan penilaian alternatif terbaik penerima manfaat PKH. ARAS dipilih karena kesesuaian dengan proses bisnis dan kriteria yang ditentukan oleh Kementerian Sosial dalam menentukan calon penerima manfaat PKH. Pada hasil eksperimen ditunjukkan bahwa ARAS mampu melakukan pemilihan dan memberikan alternatif terbaik penerima manfaat PHK dengan menggunakan kriteria yang ada. 
Pengelompokan Diabetic Macular Edema Berbasis Citra Retina Mata Menggunakan Fuzzy Learning Vector Quantization (FLVQ) Sarbaini Sarbaini; Eka Pandu Cynthia; M Imam Arifandy
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 1 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i1.14907

Abstract

Diabetic Macula Edema (DME) merupakan komplikasi serius dari penyakit diabetes. DME diawali dengan terjadinya retinopati diabetik, yaitu gangguan pada retina mata. Stadium lanjut dari retinopati diabetic meruapakan jenis penyakit mata manusia yang disebut dengan Macula edema. Dimana pada kasus Macula Edema yang sebelumnya masih menggunakan kamera fendus, maka masih mempunyai kesulitan pada pengenalan keparahan penyakit Macula Edema. Didalam penelitian ini dilakukan pengklasifikasin keparah penyakit Macula Edema menggunakan metode ektrsaksi ciri Hue Saturation value dan Gray Level CoOccurrence dan metode Fuzzy Learning Vector Quantization (FLVQ) untuk pengklasifikasi. Dari 400 gambar citra retina mata akan dibagi sesuai rasio pengujian yaitu dengan rasio ,  dan . Yang akan terjadi akhir berasal perangkat lunak yg dibangun dari penelitian ini artinya berupa sosialisasi taraf keparahan penyakit Macula Edema yang diproses apakah berhasil dikenali atau tidak. Berdasarkan pengujian akurasi memakai metode confusion matrix, maka didapatkan akibat akurasi tertinggi yaitu 100%. Oleh karna itu, dapat disimpulkan bahwa metode ekstraksi ciri pada kasus mampu mengenali ciri dari penyakit Macula Edema berdasarkan Hard Exudate
Potensi Limbah Padat Kelapa Sawit Sebagai Sumber Energi Terbarukan Dalam Implementasi Indonesian Sustainability Palm Oil M Imam Arifandy; Eka Pandu Cynthia; Sarbaini sarbaini; Fitriani Muttakin; Nazaruddin Nazaruddin
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 1 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i1.14915

Abstract

In 2019 Indonesia became the largest producer of Crude Palm Oil / CPO in the world, with a total area of oil palm plantations reaching 14,456,611 hectares with Crude Palm Oil / CPO production reaching 47,120,247 tons. The CPO production process produces various kinds of waste, one of which is solid waste. If the waste is not managed properly, it will cause environmental problems. This study aims to calculate the potential for managing waste generated from palm oil mills, namely solid waste as a renewable energy source and the potential effect of palm oil solid waste on increasing the value of Net Energy Balance (NEB) and the value of Net Energy Ratio (NER). This study uses a quantitative approach by performing calculations using the Life Cycle Assessment (LCA) method which is used to calculate the balance of the solid waste produced by the palm oil mill, which is then converted into energy factor values from accountable literature sources. The calculation results show that for each processing of 1 ton of fresh fruit bunches (FFB) of oil palm, it produces 130 kg of fiber waste and 65 kg of kernel shell waste. The results show that if solid waste is applied as an alternative fuel to the boiler, it will be able to produce 13,182 MJ of energy. This renewable energy source can increase the value of NEB from 27,199 MJ to 40,378.01 MJ (48.45%) and increase NER from 3.19 to 4.01 or an increase of 25.7%.
METODE BERTIPE STEFFENSEN DENGAN ORDE KONVERGENSI OPTIMAL UNTUK MENYELESAIKAN PERSAMAAN NONLINEAR Sarbaini '; Imran M.; Asmara Karma
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 2, No 1 (2015): Wisuda Februari 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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

Abstract

This article discusses a mo dification of a third order Steffensen-typ e method, by adding three different weight functions into the third order Steffensen-type method, so that we obtain three different correction Steffensen-typ e metho ds. These methods are of order three and require three function evaluations p er iteration so that their index of efficiency is 1.587. Computational results show the correction Steffensentype methods are competitive enough in their class.
Pengaruh Tingkat Kemiskinan Terhadap Pembangunan Rumah Layak Huni Di Provinsi Riau Menggunakan Metode Analisis Regresi Sederhana Sarbaini Sarbaini; Zukrianto Zukrianto; Nazaruddin Nazaruddin
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 1 No. 3 (2022): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (220.787 KB) | DOI: 10.55826/tmit.v1iIII.46

Abstract

Salah satu indikator kesejahteraan rakyat adalah perumahan dan lingkungan. Penelitiaan ini bertujuan untuk melihat berapa pengaruh tingkat kemiskinan terhadap penerima bantuan pembangunan rumah layak huni di Provinsi Riau menggunakan metode regresi linear sederhana. Data yang digunakan diperoleh dari Dinas PUPR PKPP Provinsi Riau dan metode yang digunakan disini yakni metode analisi regresi sederhana. Berdasarkan hasil analisis dapat diperoleh bahwa persamaan regersinya dimana jadi dapat disimpulkan bahwa pada penelitian ini terdapatnya pengaruh tingkat kemiskinan terhadap pembangunan rumah layak huni.
Optimization of Tire Production Planning Using The Goal Programming Method and Sensitivity Analysis Vera Devani; Muhammad Isnaini Hadiyul Umam; Yulia Aiza; Sarbaini Sarbaini
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol 8, No 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.v8i2.7364

Abstract

In Indonesia there are many companies that are engaged in tire retreading or reuse of unused used tires. One of the problems in the retread business in Indonesia is that the tire production target is often not fulfilled and the lack of available tires is used as the main raw material for retreading due to the long process of sending tires from consumers to companies. The purpose of this study is to determine the optimal needs of resources, determine the priority of achievement and determine the value of sensitivity to the optimum solution achieved. The method used in this study is the Goal Programming Method, because it is suitable for problems that have many goals because through its deviation, the method can automatically capture information about the relative achievement of the goals to be achieved. Based on the results of research that has been done, it can be concluded that the maximum income earned by the company is IDR 474,426,000 or an increase of 36% from the limit set by the company. In addition, it can also be concluded that the sensitivity range for the boundary quantity value is the distance at which the shadow price remains valid. If it increases above the upper limit of sensitivity (increases) or decreases below the lower limit (decreases), the value of the shadow price will change.
Implementation of the internet of things on smart posters using near field communication technology in the tourism sector Muhammad Luthfi Hamzah; Astri Ayu Purwati; Sutoyo Sutoyo; Arif Marsal; Sarbani Sarbani; Nazaruddin Nazaruddin
Computer Science and Information Technologies Vol 3, No 3: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v3i3.p194-202

Abstract

Tourism promotion in Pekanbaru is one step in increasing the number of tourists visiting Pekanbaru City. Through tourism promotion, tourists will find out where the locations are in Pekanbaru and information related to these tourist objects. This research aims to design a tourism promotion system using near-field communication (NFC) smart posters using smartphones in the city of Pekanbaru and apply NFC technology to Android smartphones in the city of Pekanbaru. Promote tourism in the city of Pekanbaru. They were testing this application with the System Usability Score, which had a good score of 74.30. This study shows that the planning and modeling of the smart poster system using NFC technology makes it easier to identify important information for every tourism activity in Pekanbaru. The results of this study are the design and product of an intelligent poster using NFC on an Android smartphone that can help users achieve information so that it is more effective and efficient.
Modeling of Traffic Flow Schemes at Road Intersections in Pekanbaru City Using Compatible Graphs Sarbaini Sarbaini
Eduma : Mathematics Education Learning and Teaching Vol 11, No 2 (2022)
Publisher : Jurusan Tadris Matematika IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/eduma.v11i2.10859

Abstract

Congestion is one of the few issues that has always been the center of attention at crossroads. One of them is at the intersection of Tuanku Tambusai, Nangka and Soekarno Hatta road. This congestion can be reduced by optimizing the duration of pauses at road intersections and collecting a compatible traffic flow when a red light occurs. The two traffic flows are said to be compatible if the two flows are running together without anyone crashing. A compatible graph is a graph that has two sets in which the object to be arranged is indicated by its points, and the corresponding pair of objects is indicated by its sides. This study obtained the optimal pause duration, which assumes a left turn following a red light for 75 seconds, by applying a compatible graph. Furthermore, the optimal duration of the pause assumes that the left turn does not follow the red light for 45 seconds. The pause duration is smaller than the duration now used on Soekarno Hatta Road, which is 115 seconds, using the assumption of following the red light to turn left. So obtained, the duration of the pause is much more optimal when compared to the duration of the pause used on the current Soekarno Hatta road
Penerapan Metode Single Exponential Smoothing dalam Memprediksi Jumlah Peserta Pelatihan Masyarakat Sarbaini Sarbaini; Elfira Safitri
Lattice Journal : Journal of Mathematics Education and Applied Vol 2, No 2 (2022): Desember 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/lattice.v2i2.5937

Abstract

Training of communities around forests is needed to improve the management of non-timber forest products for community empowerment. This training activity is carried out every year, so it is necessary to design forestry training for the community. Therefore, it is required to predict the number of incoming trainees so that the training can be carried out evenly by forestry extension workers. This study aims to determine the application of the Single Exponential Smoothing method in predicting the number of community trainees in 2022. This study used a trial system of testing values using 0.1 to 0.9 and minimized errors by calculating MAE, MSE, and MAPE. Based on the results of the study, it is predicted that the number of community training participants in 2022 using the Single Exponential Smoothing method with  with a minimum MAPE of  with several community training participants 2022 as many as 186 participants.Pelatihan masyarakat sekitar hutan diperlukan sebagai upaya peningkatan pengelolaan hasil hutan non kayu guna pemberdayaan masyarakat. Kegiatan pelatihan ini dilaksanakan setiap tahun, sehingga diperlukan perancangan pelatihan kehutanan bagi masyarakat. Oleh  karena itu, perlu diprediksi jumlah peserta pelatihan yang akan datang agar pelatihan dapat dilaksanakan secara merata oleh penyuluh kehutanan. Tujuan penelitian ini adalah untuk mengetahui penerapan metode Single Exponensial Smoothing dalam memprediksi jumlah peserta pelatihan masyarakat pada tahun 2022. Penelitian ini menggunakan system trial pengujian nilai dengan menggunakan 0,1 sampai dengan 0,9 dan meminimumkan error dengan menghitung MAE, MSE, dan MAPE. Berdasarkan hasil penelitian, diprediksi jumlah peserta pelatihan masyarakat tahun 2022 menggunakan metode Single Exponential Smoothing dengan  dengan minimum MAPE sebesar 8,9% dengan jumlah peserta pelatihan masyarakat tahun 2022 sebanyak 186 peserta.
IMPLEMENTATION OF BRUTE-FORCE ALGORITHM AND BACKTRACKING ALGORITHM FOR FIREFIGHTING ROBOT SIMULATION Tegar Arifin Prasetyo; Rudy Chandra; Wesly Mailander Siagian; Tahan HJ Sihombing; Sarbaini Sarbaini
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 10, No 1 (2023)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v10i1.456

Abstract

In general, a robot is defined as a mechanical device used by humans to ease human work. Robots are usually used for difficult and dangerous tasks. One example of its use is a firefighting robot that replaces human tasks in extinguishing fires. The firefighting robot is on duty to find fire spots in a city then extinguishing them. To be able to put out a fire, the robot must implement an efficient program in finding and determining the shortest path to the location of the fire and then put it out. For this reason, the robot is equipped with proximity and fire sensors to detect the presence of fire. The design is made with a three-step program that is designing needs of robot control, robot control mechanism scheme preparation and implementing an algorithm for making program syntax. The Brute-Force Algorithm can be implemented to indicate the presence of a hotspot signal and the backtracking Algorithm is implemented to find the shortest path to the hotspot location. This paper discusses the use of a brute-force algorithm and a backtracking algorithm in a firefighting robot program to make the fire search process more efficient. The results show that from 8 input fire points, the firefighting robot is able to find all the points within 3.12 seconds with 13 times trial. In its application, the writer used Visual Basic 6.0 in the firefighting robot program.Keywords: Firefighting Robot, Brute-Force Algorithm, and Backtracking Algorithm.Secara umum robot didefinisikan sebagai suatu alat mekanik yang digunakan oleh manusia untuk mempermudah pekerjaan manusia. Robot biasanya digunakan untuk tugas-tugas yang sulit dan berbahaya. Salah satu contoh penggunaannya adalah robot pemadam kebakaran yang menggantikan tugas manusia dalam memadamkan api. Robot pemadam kebakaran bertugas untuk menemukan titik api di suatu kota kemudian memadamkannya. Untuk dapat memadamkan api, robot harus menerapkan program yang efisien dalam mencari dan menentukan jalur terpendek menuju lokasi kebakaran kemudian memadamkannya. Untuk itu, robot dilengkapi dengan proximity dan fire sensor untuk mendeteksi adanya api. Perancangan dibuat dengan tiga langkah program yaitu perancangan kebutuhan pengendalian robot, penyusunan skema mekanisme kendali robot dan implementasi algoritma untuk pembuatan sintaks program. Algoritma Brute-Force dapat diimplementasikan untuk menunjukkan adanya sinyal hotspot dan Algoritma backtracking diimplementasikan untuk mencari jalur terpendek ke lokasi hotspot. Penelitian ini membahas tentang penggunaan algoritma brute force dan algoritma backtracking pada simulasi program robot pemadam kebakaran agar proses pencarian kebakaran menjadi lebih efisien. Hasil penelitian menunjukkan bahwa dari 8 input titik api, robot pemadam kebakaran mampu menemukan semua titik dalam waktu 3,12 detik dengan 13 percobaan. Dalam penerapannya penulis menggunakan Visual Basic 6.0 pada program robot pemadam kebakaran. Kata kunci: Robot Pemadam Kebakaran, Algoritma Brute-Force, dan Backtracking.