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APLIKASI PENJADWALAN MATA PELAJARAN MENGGUNAKAN ALGORITMA ARTIFICIAL BEE COLONY BERBASIS WEB Aris Fajrianto; Ilhamsyah Ilhamsyah; Rahmi Hidayati
Jurnal Khatulistiwa Informatika Vol 10, No 1 (2022): Periode Juni 2022
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jki.v10i1.12550

Abstract

Penjadwalan merupakan masalah umum yang terjadi pada institusi pendidikan. Dalam pembuatan jadwal mata pelajaran diperlukan ketelitian dengan mempertimbangkan berbagai faktor seperti pembagian tugas mengajar guru, jumlah ruangan yang tersedia, dan slot waktu agar tidak terjadi bentrok antar jadwal. Waktu yang dibutuhkan juga cukup lama jika pembuatan jadwal dilakukan secara manual. Berdasarkan permasalahan tersebut diperlukan sebuah sistem yang dapat mempermudah pembuatan jadwal untuk meminimalisir kejadian bentrok antar jadwal. Aplikasi yang dibangun berbasis web dengan mengimplementasikan algoritma Artificial Bee Colony yang mampu menyelesaikan permasalahan optimasi seperti penjadwalan. Pengujian dilakukan dengan menggunakan data sebanyak 1195 jadwal. Hasil pengujian menggunakan parameter colony size sebesar 6, limit sebesar 5, dan max iterations sebanyak 5 iterasi menghasilkan solusi optimal dengan nilai rata-rata fitness sebesar 0.95. Dari hasil pengujian menunjukkan jadwal paling optimal yang dihasilkan memiliki jumlah bentrok sebanyak 0 jadwal dan tidak ada jadwal yang melanggar hard constraints.
Implementation of VIKOR Method in Determining Recipients of Cash Direct Assistance in Kalimas Village Sy Kamal Baraqbah; Rahmi Hidayati; Irma Nirmala
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.36333

Abstract

Kalimas Village is one of the villages located in Sungai Kakap, Kubu Raya Regency, West Kalimantan. Kalimas Village is one of the villages that seeks to restore the welfare of the people in overcoming poverty cases which are global cases. Direct Cash Assistance (DCA) is one of the efforts made by Kalimas Village Officials in restoring the welfare of the people by providing assistance to underprivileged communities, especially those who have never received any kind of assistance from the government. However, the selection and determination process is still done manually so it takes a relatively long time, and sometimes the assessment is still subjective in making the selection and determination. The VIKOR method is one method that can be a solution in the process of determining the recipients of DCA funds. VIKOR method will calculate the value of each criterion used in the determination so as to provide accurate and optimal ranking results based on the weights and criteria used. The test results of 30 DCA candidates show that the VIKOR method can provide recommendations for DCA recipients with the best VIKOR 0.010798 owned by candidate K21 with 0.5 veto.
Pengembangan Aplikasi Penjadwalan Matakuliah Di Prodi Rekayasa Sistem Komputer Universitas Tanjungpura rahmi hidayati
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.1499

Abstract

Lecture scheduling is an activity to determine the lecture time, the lecturer and the lecture room. Lecture scheduling in the study program of Computer Systems Engineering is still done manually resulting often scheduling conflicts that have been made. Genetic algorithm is an optimization method that can be used to solve it. The parameters used in the genetic algorithm for scheduling are the number of chromosomes, the number of genes, the crossover probability value and the mutation probability value. This scheduling application uses lecture data in odd and even semesters consisting of lecturer, subject, room, day, time, time allocation and time slot data. The fitness score is determined based on the number of clashing lecturers, the number of clashing rooms and the number of student clashes. If the number of clashes is zero, the optimal fitness value is one. Based on the research results, the optimal schedule are 10 chromosomes, 60 genes, 0.7 crossover probability and 0.2 mutation probability.
Implementasi Algoritma C5.0 Untuk Klasifikasi Kepuasan Masyarakat Terhadap Pelayanan Kantor Kecamatan Rahmanita Widiyanti; Cucu Suhery; Rahmi Hidayati
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4632

Abstract

Public service is an activity to fulfill service needs for the people. Kecamatan Pontianak Kota Office is one of the institutes that perform public services. People's satisfaction with the services provided by the Kecamatan Pontianak Kota Office can be measured by a satisfaction survey in order to improve service quality. The existence of various assessment elements makes it difficult for the Kecamatan Pontianak Kota Office to determine people's satisfaction with services. Therefore, we need a system that can classify and determine the elements of the assessment that affect service satisfaction. In this research, the C5.0 algorithm was used to classify people's satisfaction. The assessment elements (variables) used for classification consist of suitability of services, understanding of procedures, speed of service, costs, service standards, officers' abilities, behavior of officers, facilities and infrastructure, and service complaints. This research resulted in a classification such as very good, good, and not good. The amount of data used is 250 data with training data used as much as 175 data and test data as much as 75 data. The C5.0 algorithm produces a decision tree, rules, and the ability of officers as an influential assessment element. Based on the test results obtained 90.67% accuracy, 68.085% precision, 55.89% recall, and 9.33% error rate
Sistem Update Firmware Perangkat IoT Menggunakan Teknik OTA Berbasis HTTP Krisna Madani; Rahmi Hidayati; Uray Ristian
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4685

Abstract

Firmware is software that resembles an operating system and embedded in the hardware. On Internet of Things (IoT) devices, the already installed firmware will not be updated for the specified time or will not even be updated at all. This is because the firmware is considered a system whose needs and functions do not need to be changed. However, in reality the firmware that is already installed and is being run definitely needs a change. The update process generally also uses conventional methods, namely by connecting devices on a computer using a cable. This method is of course not effective and efficient to do, especially if you have many devices installed and running. Therefore, in this study, an update system was created to update devices using the internet network. The update system built on this study using Over The Air (OTA) techniques and Hypertext Transfer Protocol (HTTP). In testing the update process with 3 IoT devices simultaneously, the average time needed by device 1, device 2 and device 3 is 43 seconds, 44 seconds and 45 seconds. In the QoS analysis carried out, the results obtained throughput of 100% (very good), packet loss of 0% (very good), average delay of 93,931ms (very good) and jitter of 98,948ms (medium) on the network used for updating
Smart Lamp: Kendali dan Monitor Lampu Berbasis Internet Of Things (IoT) Suhardi; Rahmi Hidayati; Irma Nirmala
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-c (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5591/5.jupiter.2022.10

Abstract

Generally, people control the house light manually. The problem is that sometimes people forget to turn off the lights when they go. It caused a waste of energy and increased the bills. The light can be automated controlled or controlled from far by the Internet of Things (IoT) technology. This research developed automated several room lights in a miniature house by a website. The system has been successfully implemented. The user can control and monitor the condition of house lights by a web application. The control and monitoring process can be carried out in two modes. First, manual mode by pressing the on/off button on the application. Second, automatic mode by setting the time for each room light according to the conditions required by the user.
Implementasi Metode K-Modes Dalam Pengelompokan Penerima Bantuan Langsung Tunai Ika Nurul Hidayah; Cucu Suhery; Rahmi Hidayati
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5174

Abstract

Direct Cash Assistance is a government assistance program that is given to underprivileged people. Assistance is distributed in the form of cash assistance sourced from village funds. In the process of distribution BLT funds, there were obstacles faced by the village, namely incomplete data on BLT recipients. Based on these constraints, a data survey of BLT recipients was carried out using predetermined variables. There are 20 variables used for BLT recipients. Based on the survey results, there was a lot of data that had something in common, making it difficult for the Sungai Dungun village to group BLT recipients. Therefore we need a system that can grouping BLT recipient data. The method used for grouping data on this system is the K-Modes method. The test uses the Davies Bouldin Index (DBI) to know out whether the cluster results are good or not. Based on the results of the DBI test, there is a minimum value generated in grouping using 4 groups with a value of 1.25858. Grouping with 4 groups resulted in a very worth it group of 101 heads of households, a feasible group totaling 40 heads of households, a moderately feasible group totaling 44 heads of households, and an unfeasible group totaling 15 heads of households.
Sistem Pemantauan dan Kontrol Smart Cat Room Berbasis Internet Of Things (IoT) Ariansyah Sudarsono; Rahmi Hidayati; Uray Ristian
JURIKOM (Jurnal Riset Komputer) Vol 10, No 3 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i3.6200

Abstract

AbstractConditions of air temperature and air humidity as well as  feeding for cats are some of the important elements difficult to monitor by cat keepers when they are not home. As a result, the cats’ feeding pattern and room conditions are not properly maintained. In this research, a system named smart cat room was built to monitor and control the air temperature, air humidity, food residue, and the amount of cat food. The types of cats in this research were Maine Coon, Bengal, and Persian. With this system, users can monitor and control the smart cat room through an Android-based application. The result of the testing of the smart cat room system had an average air temperature value for Maine Coon cats of 25.31°C and an air humidity value of Maine Coon cats is 62.90%. Average air temperature value for Bengal cats is 27.49°C and the air humidity value of Bengal cats is 62.33%. The average value of air temperature for Persian cats is 22.17°C and the air humidity value of Persia cats is 59.05%. According to the results, the smart cat room system shows that the average value of air temperature, air humidity are as according to the standards, with the cats’ skin and fur conditions inside the smart cat room well-maintained. Feeding can also be done at the right time and weight according to the type of cat in the Smart Cat Room
Rancang Bangun Sistem Pemantauan dan Kendali Budidaya Anggur Dengan Penerapan Internet Of Things (IoT) Berbasis Android Nur Fitriana Putri; Rahmi Hidayati; Irma Nirmala
JURIKOM (Jurnal Riset Komputer) Vol 10, No 3 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i3.6235

Abstract

Grape vines are plants that can grow well in lowland areas, especially coastal areas. The very hot weather climate is an inhibiting factor in the growth of grape vines. So it is necessary to help greenhouse media technology with the application of the Internet of Things (IoT) to create the desired conditions in an effort to protect plants as well as temperature and humidity conditions that can attack grape plants, adjusting the parameters needed. Vine testing parameters include air temperature, air humidity and soil moisture. In the system that has been created, the system will monitor the conditions of air temperature, air humidity and soil moisture. In addition, the system will manually and automatically control the fan, mist maker and pump according to predetermined values. The results of the sensor test show an accuracy for air temperature of 95.36%. The result of the test for air humidity is 88.67%. The result of the capacitive soil moisture sensor test for soil moisture is 99.85%.
PENERAPAN DROPOUT PADA JARINGAN SARAF TIRUAN BACKPROPAGATION DALAM MENGKLASIFIKASI TINGKAT FINE FUEL MOISTURE CODE (FFMC) UNTUK KEBAKARAN HUTAN DAN LAHAN Irwan Guntoro; Dwi Marisa Midyanti; Rahmi Hidayati
Coding Jurnal Komputer dan Aplikasi Vol 10, No 01 (2022): Edisi April 2022
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v10i01.52734

Abstract

Sistem Peringkat Bahaya Kebakaran hutan/lahan (SPBK) merupakan sistem peringatan dan deteksi dini kebakaran hutan/lahan di Indonesia. SPBK telah dikembangkan di Indonesia melalui penerapan Fire Weather Index (FWI). FWI terdiri dari 3 buat komponen, yaitu Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), dan Drought Code (DC). FFMC merupakan indikator potensi penyulutan api menjadi kebakaran hutan/lahan. FFMC memiliki empat kelas, yaitu rendah, sedang, tinggi, dan ekstrim. Tingkat FFMC dapat diklasifikasi berdasarkan 4 faktor yang mempengaruhi FFMC, yaitu suhu, curah hujan, kelembapan udara, dan kecepatan angin. Algoritma backpropagation merupakan metode klasifikasi yang dapat digunakan dalam mengklasifikasi tingkat FFMC. Algoritma backpropagation merupakan salah satu jaringan saraf tiruan yang digunakan untuk mengklasifkasi data. Penelitian ini menerapkan metode dropout pada algoritma. Metode dropout digunakan untuk mengurangi overfitting pada saat pelatihan jaringan saraf tiruan. Penelitian menggunakan data atribut suhu udara, kelembaban udara, kecepatan angin, dan curah hujan untuk diklasifikasi pada kelas FFMC. Dari hasil percobaan, performa model terbaik yang dihasilkan selama pelatihan JST adalah learning rate 0,5, iterasi 1000, MSE = 0,377, dan overfitting = 0,1408. Hasil klasifikasi kelas FFMC dengan menggunakan 557 data uji diperoleh tingkat akurasi sebesar 61.265%.
Co-Authors Achyar, Athif Tafrihan Adam, Chairul Agus Harjoko Aji, Maulana Setia Alfikri, Nadya Syifa Andreni, Gracella Aqila Zulfahmi Putri, Nessa Ariansyah Sudarsono Arif Rahmawan Aris Fajrianto Basuki Ilham, Maulana Cucu Suhery Darmawansyah Darmawansyah Dea Rizki Febrinamas Dedi Triyanto Deni Deni Destia Arini Hairunnisa Dwi Marisa Midyanti Dwi Marisa Midyanti Ellif Ellif Fajar Mu'alim Firdaus, Nurul Fajri 'Aini Fransiskus Julian Adresman Frasila Frasila Gloria, Bela Priska Gunawan Gunawan Hafiz Muhardi Herawati, Yunita Hirzen Hasfani Huda, Nur'ainul Miftahul Ika Nurul Hidayah Ikhsan, Afif Muhammad Ikhwan Ruslianto Ilhamsyah Imro'ah, Nurfitri Irma Nirmala Irma Nirmala Irma, Irma Nirmala Irwan Guntoro Irwan Guntoro Jaka, Jaka Junianti, Suci Kaffi, Muhammad Syahrul Kartika Sari Kartika Sari Kartika Sari Kasliono Kasliono Kresna Satya Nugroho Krisna Madani Lestari, Ayu Lathalia Lestarry, Indah Advia Marettania, Felisitas Marisa Midyanti, Dwi Michael Michael Muhamad Reksy Mulia Muhammad Luthfi Nirmala, Irma Nur Fitriana Putri Nurul Mutiah PERMADANI, CHANDRA MONICA Pratama, Rakha Daffa Primus Mario Andaka Ginting Rahmanita Widiyanti Rahmawan, Arif Riska Wulandari, Riska Rizky Risan R Sampe Hotlan Sitorus Saputra, Dimas Bagus Saputra, Yoga Sari, Ita Permata Subri, Hafiz Adlan Afrigi Suci Junianti Suci Pania, Tika Suhardi Suhardi Suhardi Suhardi Suwanty, Erina Sy Kamal Baraqbah Syamsul Bahri Syamsul Bahri Sylviana Kusuma Tedy Rismawan Tedy Rismawan Teodora Fenny Aliansih Uray Ristian Utami, Retnaning Tyas Vidyana, Irma