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Penentuan Arsitektur Jaringan Syaraf Tiruan Backpropagation (Bobot Awal dan Bias Awal) Menggunakan Algoritma Genetika Christian Dwi Suhendra; Retantyo Wardoyo
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 9, No 1 (2015): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.6642

Abstract

AbstrakKelemahan dari jaringan syaraf tiruan backpropagation adalah sangat lama untuk konvergen dan permasalahan lokal mininum yang membuat jaringan syaraf tiruan (JST) sering terjebak pada lokal minimum. Kombinasi parameter arsiktektur, bobot awal dan bias awal yang baik sangat menentukan kemampuan belajar dari JST untuk mengatasi kelemahan dari JST backpropagation.            Pada penelitian Ini dikembangkan sebuah metode untuk menentukan kombinasi parameter arsitektur, bobot awal dan bias awal. Selama ini kombinasi ini dilakukan dengan mencoba kemungkinan satu per satu, baik kombinasi hidden layer pada architecture maupun bobot awal, dan bias awal. Bobot awal dan bias awal digunakan sebagai parameter dalam perhitungan nilai fitness. Ukuran setiap individu terbaik dilihat dari besarnya jumlah kuadrat galat (sum of squared error = SSE) masing – masing individu, individu dengan SSE terkecil merupakan individu terbaik. Kombinasi parameter arsiktektur, bobot awal dan bias awal yang terbaik akan digunakan sebagai parameter dalam pelatihan JST backpropagation.Hasil dari penelitian ini adalah sebuah solusi alternatif untuk menyelesaikan permasalahan pada pembelajaran backpropagation yang sering mengalami masalah dalam penentuan parameter pembelajaran. Hasil penelitian ini menunjukan bahwa metode algoritma genetika dapat memberikan solusi bagi pembelajaran backpropagation dan memberikan tingkat akurasi yang lebih baik, serta menurunkan lama pembelajaran jika dibandingkan dengan penentuan parameter yang dilakukan secara manual. Kata kunci  Jaringan syaraf tiruan, algoritma genetika, backpropagation, SSE, lokal minimum AbstractThe weakness of back propagation neural network is very slow to converge and local minima issues that makes artificial neural networks (ANN) are often being trapped in a local minima. A good combination between architecture, intial weight and bias are so important to overcome the weakness of backpropagation neural network.This study developed a method to determine the combination parameter of architectur, initial weight and bias. So far, trial and error is commonly used to select the combination of hidden layer, intial weight and bias. Initial weight and bias is used as a parameter in order to evaluate fitness value. Sum of squared error(SSE) is used to determine best individual. individual with the smallest SSE is the best individual. Best combination parameter of architecture, initial weight and bias will be used as a paramater in the backpropagation neural network learning.            The results of this study is an alternative solution to solve the problems on the backpropagation learning that often have problems in determining the parameters of the learning. The result shows genetic algorithm method can provide a solution for backpropagation learning and can improve the accuracy, also reduce long learning when it compared with the parameters were determined manually. Keywords: Artificial neural network, genetic algorithm, backpropagation, SSE, local minima.
Rancang Bangun Sistem Informasi Penilaian Pencapaian Materi dan Absensi Murid di Taman Pendidikan Al-Quran (TPA) DPD Lembaga Dakwah Islam Indonesia Kabupaten Manokwari menggunakan Metode Prototype Afifah Ummi Sholihah; Christian Dwi Suhendra; Pawit Rianto
INFORMAL: Informatics Journal Vol 6 No 3 (2021): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v6i3.21963

Abstract

The Regional Representative Council of Indonesia Institute of Islamic Dakwah of Manokwari Regency has four departments from Al-Quran Education School which are required to report the attendance and achievements of students each month in their respective departments. This report will be presented to the parents and to the Head of the school for evaluation. Both of these assessments are still carried out manually so it is inefficient because the data will be easily lost or scattered. With these problems, the author did some researches to carry out the Design and Development of Information System for Assessment of Material Achievement and Student Attendance at Al-Quran Education School - Regional Representative Council of Indonesia Institute of Islamic Dakwah in Manokwari Regency. This research was conducted by creating an assessment input information system and responsive web-based data recap, using the Laravel framework, MySQL database and the research method used was the Prototype Method. At the final stage of this research is testing the system with the Black Box Method. The final result of this research is the formation of the Information System for Assessment of Material Achievement and Student Attendance for the Al-Quran Education School - Regional Representative Council of Indonesia Institute of Islamic Dakwah in Manokwari Regency. The test results show that the Prototype Method can be used in building the information system in question.
Penerapan Metode K-Means dalam Pengelompokan Data Penduduk Tidak Mampu di Distrik Oransbari Messi Triyana; Ratna Juita; Christian Dwi Suhendra
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.34722

Abstract

Proverty is a serious problem, the occurrence of proverty in the community is caused by a condition of the inability of the family economically to meet primary needs. Poor people are found in almost every country, city, and region. One of them is in the Oransbari District, which is one of the areas in Indonesia where the population does not receive assistance evenly. Based on these conditions, clustering is carried out to assist the district in grouping the poor population, so that the assistance provided can be right on target. With this problem, data mining with k-means clustering method used in clustering the poor population to make it easier for the Oransbari District to provide the population so that it is right on target. The data used is the data of the poor population in 2020 which amounted to 1872 with 17 attributes. Based on the results of tests carried out by applying the k-means algorithm, the results obtained with 3 clusters, the first cluster with a population of 471 with the category of poor population with medium priority, the second cluster has a population of 428 with a high priority category of poor population, and the third cluster has a population of 826 a low priority category of poor population. The k-means method is expected to be able to assist the Oransbari District in making decisions so that assistance is more targeted.
ANALISIS KLASTERISASI DAFTAR PEMILIH KABUPATEN MANOKWARI MENGGUNAKAN METODE K-MEANS CLUSTERING BERBASIS ELBOW METHOD Marselinda Rante Uma; Christian Dwi Suhendra; Josua Josen A. Limbong
Jurnal Teknoinfo Vol. 19 No. 2 (2025): July 2025 Period
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/teknoinfo.v19i2.163

Abstract

General Elections (Pemilu) are a crucial pillar in Indonesia's democratic system, ensuring public representation in government. As voter data becomes increasingly complex due to population growth and community mobility, electoral data management requires more efficient analytical approaches to support accurate decision-making. Therefore, methods capable of accurately grouping voters based on specific characteristics are needed. This study aims to cluster voter registration data in Manokwari Regency based on age and neighborhood unit (RT) using the K-Means algorithm. A total of 16,871 entries obtained from the General Election Commission of Manokwari Regency were used, but two outliers due to input errors were removed, leaving 16,869 valid entries analyzed using Jupyter Notebook. The Elbow Method was applied to determine the optimal number of clusters by calculating the Sum of Squared Errors (SSE) from K = 2 to K = 9. The most significant drop in SSE occurred from K = 2 to K = 3 and K = 3 to K = 4, with gradual decreases afterward, indicating the elbow point lies between K = 3 and K = 4. Considering data density and segmentation, K = 4 was chosen with an SSE value of 347,575. The K-Means algorithm then clustered the data based on age and RT through random centroid initialization, Euclidean distance calculation, reassignment, and iterative centroid updates until convergence. The results showed four clusters: Cluster_0 with 6,332 young voters aged 17–29 years (RT 0–17), Cluster_1 with 3,478 productive-age voters aged 43–56 years (RT 0–14), Cluster_2 with 1,768 elderly voters aged 57–93 years (RT 0–14), and Cluster_3 with 5,291 voters aged 30–42 years (RT 0–15). The broad RT distribution across clusters indicates diverse voter age groups across the region. These findings can help the Manokwari General Election Commission (KPU) and related institutions in planning effective voter education, outreach, and logistics distribution strategies.
Quality of Service (QoS) Jaringan Wireless Local Area Network (WLAN) Pada Universitas Papua : (Quality of Service (QoS) Wireless Local Area Network (WLAN) in Papua University) Elisabet Damanik; Christian Dwi Suhendra; Lion. F. Marini
JISTECH: Journal of Information Science and Technology Vol 11 No 1 (2022): April 2022
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v11i1.57

Abstract

Almost every building area at the University of Papua has been facilitated with a Wireless Local Area Network (WLAN). Each user has one account to use the facility. But as more users access the network simultaneously allowing the occurrence of a slowed network connection and become less stable. Network monitoring and analysis is carried out to determine the quality of the network in each area of the building.  Axence NetTools 5 is one of the applications that easy-to-use monitoring carried out in 3 building areas, Unit Pelayanan Teknis Komputer (UPT-TIK), Rektorat dan Fakultas Sastra dan Budaya. To measure the Quality of Service (QoS) of the network with parameters bandwidth, throughput, delay, jitter, and packet loss using TIPHON standardization. The results from the three access points areas belong to the category of “Satisfactory”. For all the quality of the WLAN internet network at the University of Papua in the three building areas is "Good".
Aplikasi Belajar Dan Bermain Untuk Anak Usia Dini Menggunakan Kodular: Learning and Playing Applications for early Childhood Using Kodular Yobel Agustina Furima; Julius Panda Putra Naibaho; Christian Dwi Suhendra
JISTECH: Journal of Information Science and Technology Vol 11 No 1 (2022): April 2022
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v11i1.63

Abstract

Usia dini merupakan masa keemasan dalam perkembangan otak anak, dimana pada usia ini anak-anak senang bermain dan menjelajahi lingkungan sekitar. Terdapat tiga gaya belajar pada anak yaitu auditori, visual dan kinestetik. Hal inilah yang dapat dimanfaatkan dari penggunaan smartphone karena dapat menyediakan aplikasi-aplikasi yang dapat menerapkan gaya belajar yang telah disebutkan. Dengan Tujuan untuk menciptakan media belajar dan bermain yang menarik untuk anak usia dini, dan juga sebagai suatu upaya untuk meningkatkan minat belajar anak sejak dini. Penulis melakukan penelitian dengan metode waterfall dalam pengembangan aplikasi belajar dan bermain dengan kodular. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk belajar mengenal huruf, mengenal angka, menggambar, bermain tangkap buah, dan tebak gambar. Hasil pengujian aplikasi dengan metode kuesioner yang terdiri dari 8 pernyataan dan 20 responden yang menjawab sangat setuju 37.5%, setuju 60%, dan kurang setuju 2.5%.
Sistem Informasi Cafe Cakbor 22 Berbasis Web Dengan Menggunakan PHP Dan MySQL (Studi Kasus : Café Cakbor 22): Web-Based Cafe Cakbor 22 Information System Using PHP And MySQL (Case Study: Café Cakbor 22) Agustinus Nandhito Richard Alatubir; Christian Dwi Suhendra; Alex De Kweldju
JISTECH: Journal of Information Science and Technology Vol 12 No 1 (2023): Vol. 12 No. 1 (2023): April 2023
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v12i1.197

Abstract

Cafe Cakbor 22 is one of the cafes that sells various types of drinks and snacks, it is better to have a system to meet the needs of promoting products and simplifying data transactions regarding product data and facilities provided at the café. The current system, both information related to cafes, product promotions and ordering, is still done manually. Customers view, select and order menus through the menu book provided by the waiter. So that this can hinder the development of cafes in the wider community and services that are still less efficient in terms of time. Based on these problems, it is necessary to build an information system that can assist in promoting a product so that it is neater, structured and so that consumers can more easily access everything about Café Cakbor 22. The application development method used is the waterfall method. The system is built using the PHP programming language and MySQL database. With this system, it can assist cafe owners in promoting products online and can help both customers and owners in processing product sales transactions.
Prototipe Aplikasi Orang Hilang Berbasis Android Pada Polsek Abepura Kota Jayapura Papua: Prototype of Missing Persons Android-Based Application at Abepura Police Station, Jayapura City, Papua. Chyntia Mangngiding; Christian Dwi Suhendra; Lion Ferdinand Marini
JISTECH: Journal of Information Science and Technology Vol 12 No 1 (2023): Vol. 12 No. 1 (2023): April 2023
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v12i1.202

Abstract

Data from the Jayapura District Police shows that there was an increase in the number of missing persons in Jayapura City. In January 2022, there were 8 reports of missing persons, and this number doubled to 16 in March 2022. Currently, the police rely on reports from the public to find missing individuals. They then conduct direct checks in the field, confirm the reported characteristics, and contact the families. However, this method is not considered modern or efficient enough to handle the increasing number of missing persons cases. In this modern age, technological developments, especially in mobile applications, can offer more effective and efficient solutions. Therefore, a prototype application for missing persons based on Android was developed as an alternative to help address the issue of missing persons, especially in Jayapura City. The missing persons application underwent black box testing to ensure that its functions and inputs are working correctly, and the validation function was used to check its accuracy. The test results showed that the application is functioning well and can be used as a tool to help find missing persons in the city. However, continuous monitoring and improvement of the application are necessary to ensure that it remains effective in the long term.
Rancang Bangun Game Ngaji Yuk Berbasis Android (Studi Kasus Pondok Pesantren Darut Taqwa) : Design and Build Game Koran Yuk Based on Android (Case Study of Darut Taqwa Islamic Boarding School) Tommy Eko Setiawan; Christian Dwi Suhendra; Julius Panda Putra Naibaho
JISTECH: Journal of Information Science and Technology Vol 12 No 1 (2023): Vol. 12 No. 1 (2023): April 2023
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v12i1.203

Abstract

Darut Taqwa Islamic Boarding School is often used as a place to study the Qur'an for teenagers and children. The teaching system, which is still very traditional, looks very out of date, so I took the initiative to make the NGAJI YUK Game, and there is also a tendency to see students playing games on cellphones that have no benefit. Aside from being a communication tool, this research aims to develop the attractiveness and interest of children to make better use of mobile smartphones for positive things. An educational game application that can help children learn to recognize the basics of Arabic letters and reading.
Tanaman Obat Aplikasi Search Engine Tanaman Obat Di Pegunungan Arfak: Medicinal Plants Search Engine Application In the Arfak Mountains Achmad Chairuddin Agrifandi; Christian Dwi Suhendra; Lion Ferdinand Marini
JISTECH: Journal of Information Science and Technology Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v12i2.217

Abstract

The Faculty of Forestry, University of Papua has a lecturer named Dr. Ir. Budi Susilo Budihusodo, MP has data on medicinal plants in West Papua Province, Arfak Mountains district, with as much data as 70 medicinal plants. These medicinal plant data were researched and lab tested directly by Dr. Ir. Budi Susilo Budihusodo, MP at Mulawarman University in the city of Samarinda, East Kalimantan and at the University of Papua. These data want to be developed into a Search Engine Application so that users can search and find out the benefits and uses of medicinal plants in the Arfak Mountains District of West Papua. This Search Engine application is made web-based, using PHP, MySQL as a database, and XAMPP as a web server. This Search Engine application is designed with a very simple flow and interface design so that it can be easily used, with the Medicinal Plants Search Engine application users are able to get information about the medicinal plants they are looking for.