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Penerapan Multi-Attribute Decision Making Menggunakan Metode WASPAS Pada Pemilihan Benih Sayuran I Gede Iwan Sudipa; Hamid Wijaya; Rhaishudin Jafar Rumandan
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.362 KB) | DOI: 10.47065/josh.v4i1.2368

Abstract

Optimizing the use of home yards is one of the efforts to improve food security in agriculture through vegetable cultivation. The number of vegetable seed products causes someone who will buy vegetable seeds to first seek information about each vegetable seed, thus taking a long time to make a decision. This study aims to implement the Multi-Attribute Decision Making (MADM) approach with Aggregated Sum Product Assessment (WASPAS) on a vegetable seed selection decision support system, in order to obtain the best alternative that suits your needs. The WASPAS method has the ability to solve multi-attribute by optimizing the assessment for selecting the highest and lowest values ​​in obtaining the best alternative. Based on the case studies conducted, the WASPAS method was able to determine the best vegetable seeds with the best alternative results, namely Known You Seed Brokoli F1 (A2) with a Qi value of 0.7854, then followed by an alternative to Infarm Benih Kangkung (A1) with a Qi value of 0, 7710, Daily Farm Sawi Putih (A3) with a Qi value of 0.7330, Mira Mentimun Hibrida F1 (A4) with a Qi value of 0.7225 and Benihpedia Daun Bawang (A5) with a Qi value of 0.5992. The developed system produces a valid WASPAS method, because the results are no different from manual calculations. In addition, the results of black-box testing show that the developed system has been running well.
Klasifikasi Citra Jenis Daun Berkhasiat Obat Menggunakan Algoritma Jaringan Syaraf Tiruan Extreme Learning Machine Rhaishudin Jafar Rumandan; Rini Nuraini; Nanang Sadikin; Yuri Rahmanto
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2586

Abstract

Leaves are one part of a plant that has benefits for humans, especially for the health of the body. Leaves can be used as herbal medicine which can be an alternative that can help in increasing immunity and body resistance. However, not all leaves have medicinal properties, therefore knowledge of the types of medicinal leaves is important. The aim of this research is to develop a classification system for the image of medicinal leaves using the Extreme Learning Machine (ELM) artificial neural network model. To support the ELM algorithm, morphological feature extraction is used which can provide information about the shape characteristics of existing objects. Extreme Learning Machine (ELM) is also known as an artificial neural network approach that uses one hidden layer. At the classification stage, the Extreme Learning Machine (ELM) algorithm can determine the weight value between the input neurons and the hidden layer randomly so that the learning pattern becomes faster. Based on the results of the precision, recall and accuracy tests, the precision value is 90.67%, the recall value is 89.47% and accuracy of 90%. So, based on these results it can be said that the ELM model that was built can classify images of leaf types with medicinal properties well.
SELF-CONCEPT AND INTEREST AS PREDICTORS OF MATHEMATICS ABILITY Muhammad Kashai Ramdhani Pelupessy; Rhaishudin Jafar Rumandan
MATEMATIKA DAN PEMBELAJARAN Vol 10, No 2 (2022): MATEMATIKA DAN PEMBELAJARAN: ETHNOMATEMATICS AND TEACHING PROCESS
Publisher : IAIN Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33477/mp.v10i2.3198

Abstract

Improving math skills is considered important today. Because mathematical abilities can encourage individuals to be able to solve problems in the midst of society. A number of studies have proven that self-concept is very influential on mathematical ability. Therefore, this study wants to prove again whether self-concept and interest have an effect on mathematical ability. In order to prove this question, this study uses a quantitative type of research with an ex-post facto research approach. The sample in this study amounted to 24 students (male = 3 and female = 21). The instrument used in this study is the self-concept and interest scale adapted from Sproesser et al (2016) and individual mathematical abilities were taken from the Grade Point Average. This study uses linear regression analysis techniques. The results showed that self-concept is very influential on the mathematical ability by 0.04 (p<0.05). That is, to improve the individual's mathematical ability must have self-concept maturity and interest in mathematics.Keywords: self-concept, mathematical ability, ex-post facto research
DEVELOPMENT OF INFORMATION SYSTEMS FOR SERVICE AND CUSTOMER COMPLAINTS USING THE EXTREME PROGRAMMING METHOD Rhaishudin Jafar Rumandan
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2405

Abstract

The Regional Drinking Water Company (abbreviated as PDAM in Indonesian) Tirta Yapono strives to provide the best service for its customers by providing access to information and complaints for the general public. However, currently the provision of information about company programs uses the company's web portal. This is considered insufficient, because the web portal is static or only provides information without interaction with its users. Apart from that, for public complaints, only provide telephone numbers and email complaints. This system causes slow handling of complaints due to the accumulation of incoming complaints via telephone or email. For this reason, a website-based system is needed that can provide services to the community dynamically and the public can submit complaints directly and can communicate with related officers through the website. This study aims to develop a website-based customer service and complaint system using the Extreme Programming (XP) system development method, so that users can interact directly so that information and resolution of complaints can be handled immediately. The XP method is a method for developing an agile development system that is capable of producing a short system and is proven by short development results. The developed customer service and complaint information system can manage new installations, customer complaints, announcements and customer chats. The resulting application is in the good category, because based on usability testing it shows an average value of 90% in the good category, so the application is feasible to use and as needed.
Implementation of Additive Ratio Assessment (ARAS) in Decision Support Systems for Wi-Fi Repeater Selection Indra Nanda; Rhaishudin Jafar Rumandan; Alfry Aristo Jansen Sinlae
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 2 (2022): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i2.3738

Abstract

Wi-Fi repeater devices are important tools for individuals, agencies, and companies so that the desired areas can be connected to the internet. To select a Wi-Fi repeater, take care in selecting the right product for your needs. However, not everyone has knowledge regarding the specifications of a Wi-Fi repeater. This resulted in a long process of selecting a Wi-Fi repeater because they had to find information regarding the specifications of the product to be purchased. This has an impact on the length of the process of making decisions. The purpose of this research is to build a decision support system using the Multi-Attribute Decision Making (MADM) approach and the Additive Ratio Assessment (ARAS) method for selecting the right Wi-Fi repeater device as needed. Referring to the utility level of each alternative to determine the ranking, the ARAS technique has the ability to choose the best alternative. Using the ARAS approach for case studies, which is identical to manual calculations, the developed system produces the same results, according to the case studies that have been completed. The DSS developed is website-based, with main features including managing data extraction, data alternatives, value alternatives, ARAS calculation methods, and displaying the best alternative in the form of ranking. Additionally, testing utilizing black-box testing reveals that all of the evaluated functions can function as they should.
Implementasi Composite Performance Index (CPI) Pada Sistem Pendukung Keputusan Pemilihan Mitra Pengiriman Barang Rhaishudin Jafar Rumandan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 1 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i1.554

Abstract

Shipping services and business operations today will always be connected. Through goods delivery services, it can help in sending the products sold to the hands of customers. Thus, the selection of goods delivery partners becomes a crucial matter. The selection of freight forwarding service partners is usually done by looking at the profiles of the freight forwarding service partners and what services are provided. This takes time, because the company has to learn one by one the services provided. This research aims to apply the Composite Performance Index (CPI) approach in building a Decision Support System (DSS) for the selection of goods delivery partners in order to produce the right alternatives and according to needs. The CPI method solves problems based on the combined index value so that the best alternative can be determined. Based on the case study, the highest score was obtained, namely the alternative PT. Angkut Teknologi Indonesia with a score of 127.5, followed by PT. Dunia Express Transindo with a score of 122.5, PT. Indah Logistik with a score of 120 and PT. Siba Surya with a value of 100. The calculation results obtained by the system and manual calculations show the same value, this means that the system built produces valid calculations. The system has also been tested through a black-box testing approach with the results that all functions on the system can run properly.
Decision Support System for Choosing Online Learning Platforms Using the Complex Proportional Assessment Method Rhaishudin Jafar Rumandan
The IJICS (International Journal of Informatics and Computer Science) Vol 7, No 1 (2023): March 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v7i1.6050

Abstract

Online learning platforms can be an alternative to learning outside of school that can help improve student academic achievement. To determine the right online learning platform, decision makers must seek information one by one about the services provided by the platform as well as its weaknesses and strengths. This makes it difficult to make a choice and takes a long time. This research aims to build a Decision Support System (DSS) for choosing an online learning platform by applying the Complex Proportional Assessment (COPRAS) approach to get the right decision and not take long. The COPRAS approach can produce optimal alternatives based on alternative analysis using alternative assumptions by offering utility judgments so that the attributes of each alternative are sorted by interval. Based on the results of the case study, Zenius obtained the highest utility score with a score of 100, followed by Ruangguru with a score of 86.19, Pahamify with a score of 84.34, and Quipper with a score of 68.67. The calculation results obtained from a system built by calculating manually displays the same acquisition value, this means that the system has produced an accurate calculation. On the results of usability testing using aspects including understanding, learnability, operability and interesting, the average score is 91% and is in the good category. This demonstrates how user-friendly and implementable the created system is.
Supervisi Akademik Kepala Madrasah Sebagai Upaya Peningkatan Profesionalitas Guru Di Madrasah Aliyah Bina Karya Hatawano Kecamatan Huamual Kabupaten Seram Bagian Barat. Maluku Nuhasanah Nurhasanah; Muhammad Kashai Ramdhani Pelupessy; Rhaishudin Jafar Rumandan; Indah Junianti Idris; Sarmila Wagola; Rifaha Mabakotawasi
MANGENTE: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 2, No 2 (2023): PELATIHAN LITERASI, KEPEMIMPINAN PENDIDIKAN DAN KETAHANAN KELUARGA
Publisher : IAIN AMBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33477/mangente.v2i2.3649

Abstract

Supervisi merupakan salah satu hal terpenting dalam satuan pendidikan. Karena sangat diharapkan mampu meningkatkan profesionalitas tenaga pendidik yang ada di madrasah. Kegiatan supervisi secara langsung membantu pendidik secara teknis maupun memberikan bimbingan, pelatihan hingga motivasi yang bertujuan tenaga pendidik dapat mengaktualisasikan pendidikan yang baik dan efektif sehingga peningkatan prestasi belajar dari peserta didik. Pengabdian kepada masyarakat ini yang berfokus pada Madrasah Aliyah Bina Karya Hatawano bertujuan untuk memberikan muatan terkait pentingya supervisi bagi madrasah, bagi tenaga pendidik dan peserta didik. Metode dalam penelitian ini berupa workshop, pelatihan, observasi dan wawancara singkat. Peserta pada kagiatan adalah kepala madrasah dan tenaga Pendidik Madrasah Aliyah Bina Karya Hatawano.
Penyusunan Laporan PTK dalam Bentuk Artikel di SMP dan SMA Kapraja Sangadji; Rhaishudin Jafar Rumandan; Muhammad Kashai Ramdhani Pelupessy; Dewinofrita Dewinofrita; M Sahrawi Saimima
MANGENTE: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 2, No 1 (2022): PENDIDIKAN KARAKTER DAN PEMBERDAYAAN MASYARAKAT
Publisher : IAIN AMBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33477/mangente.v2i1.3173

Abstract

This Class Action Research Workshop (PTK) aims to train educators of MTs N 4 Central Maluku and MA N 3 Central Maluku to reflect on the results obtained from the learning process that has been carried out previously in the form of scientific papers. This devotion to educators uses the method of training and workshops. The participants in this activity were educators at MTs N 4 Central Maluku and MA N 3 Central Maluku which totaled 50 people. The result of this training and workshop is that participants have been able to create a class action research design and know-how to carry out the process and report on class action research.Keywords: Classroom Action Research, educator, reflection.
Kepemimpinan Transformasional Supervisi Akademik Kepala Sekolah Guna Peningkatan Kinerja guru di MA Bina Karya Hatawano Nurhasanah Nurhasanah; Muhammad Kashai Ramdhani Pelupessy; Rhaishudin Jafar Rumandan; Nur Fitri Datumboyo; Anisa Subhan; Dandi Iyama
MANGENTE: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 2, No 2 (2023): PELATIHAN LITERASI, KEPEMIMPINAN PENDIDIKAN DAN KETAHANAN KELUARGA
Publisher : IAIN AMBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33477/mangente.v2i2.3894

Abstract

Kepala sekolah berfungsi baik sebagai manajer dan pengawas, yang memungkinkan dia memiliki dampak terhadap lingkungan. Sesuai dengan tanggung jawabnya, kepala sekolah memiliki kebijakan yang terperinci untuk membawa perubahan mendasar dalam sikap, pengetahuan, keterampilan, dan etos kerja. Metode observasi atau pengamatan digunakan dalam analisis penelitian ini. Sekolah MA Bina Karya Hatawano belum sepenuhnya memahami gaya kepemimpinan transformasional, menurut temuan analisis. Oleh karena itu, memiliki dampak yang signifikan terhadap hasil kinerja guru.