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RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Published by Universitas Abdurrab
ISSN : 24772062     EISSN : 2502891X     DOI : https://doi.org/10.36341/rabit
Core Subject : Science, Engineering,
Computer Science & IT Engineering
This journal is called RABIT, where the name comes from two words namely, RAB which means Abdurrab University and IT which means information technology, it can be interpreted as a journal of this journal Journal of Informatics Engineering Study Program Pekanbaru Abdurrab University. This RABIT journal contains various sciences related to the world of computers especially information technology and information systems, namely, this journal is published twice a year where the initial publication is on January 10 while for the second issue which is on July 10.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 179 Documents
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APLIKASI E-COMMERCE UNTUK MENINGKATKAN USER EXPERIENCE PADA PT. JAYA UTAMA BEARING Jacky Setiawan; Ayouvi Poerna Wardhanie; Endra Rahmawati
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3528

Abstract

One of the keys to success in building e-commerce that can provide convenience and comfort for its users is knowing the users' needs. This study aims to create a website-based online store application that can improve user experience, especially for Jaya Utama Bearing companies engaged in selling industrial goods and auto spare parts so that they have detailed with clear product information, consumers can easily make transactions online, have an attractive visual design, and makes it easier for companies to manage and store sales reports. Based on the results of interviews with 30 customers using the User Experience Questionnaire, it was found that on the previous website, for the factors of attractiveness, clarity, efficiency, accuracy, stimulation and novelty, the results were below average and even bad, causing a decrease in income due to lost consumer loyalty. The results of this study are a catalog feature that can be filtered by category to display detailed product information, product purchase features, chat features to accommodate customer questions before buying, review or feedback features after a purchase transaction, and a sales report recording feature. The researcher also compared websites before and after using UEQ with the same 30 respondents, where it was seen that the scores for the six factors had increased from below average to above average and bad to good.
PENGEMBANGAN GAMIFIKASI PADA PELAJARAN MATEMATIKA SD DENGAN METODE ADDIE UNTUK MENINGKATKAN MINAT BELAJAR SISWA Haykal Syuhada; Syarif Hidayat; Sri Mulyati; Andhika Giri Persada
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 1 (2024): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i1.466

Abstract

rata-rata matematika di Indonesia hanya mencapai 379 dari skor rata-rata OECD yakni 487. Kurangnya minat pada pelajaran matematika membuat anak menjadi malas untuk belajar matematika sehingga berdampak terhadap prestasi belajarnya. Oleh karena itu, tujuan dari penelitian ini adalah menerapkan gamifikasi sebagai media ajar pelajaran matematika SD guna meningkatkan minat belajar siswa. Dalam pengembangannya metode yang digunakan adalah model ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Media pembelajaran dirancang dengan menerapkan elemen gamifikasi berupa poin, tantangan, dan tekanan waktu. Implementasi media ajar ini menunjukkan hasil bahwa gamifikasi meningkatkan minat siswa dalam belajar matematika dengan membuat pengalaman belajar interaktif dan menyenangkan. Evaluasi yang dilakukan dengan metode SUS dan mendapatkan hasil pengujian dengan skor 82,9545, mengindikasikan tingkat kepuasan dan kegunaan yang tinggi. Kesimpulannya, penerapan gamifikasi berpotensi menjadi solusi untuk meningkatkan minat siswa dalam belajar matematika.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAYANAN PENGIRIMAN BARANG MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Rudi Setiawan
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3375

Abstract

Delivery service is the distribution of goods from the manufacturer to the customer, but the service has a number of risks that may occur at the time of the delivery process, such as delayed delivery and damaged goods. For this, it is necessary to make the selection of the best delivery services by business operators so that customer satisfaction remains awake until the ordered product reaches the customer’s hands. To support this decision-making process, the Simple Additive Weighting (SAW) method is used by determining the weight value on each attribute and is continued with the best alternative weighing process that aims to help the public determine the choice of delivery services well and according to the desired criteria, the study uses 5 criteria namely tariffs, delivery speed, goods security, customer service and branch office distribution. There are 3 alternative goods delivery services assessed using the SAW method by 30 respondents who come from UMKM Tajurhalang with the highest ranking results available on JNE services.
KLASIFIKASI ALGORITMA K-NEAREST NEIGHBOR, NAIVE BAYES, DECISION TREE UNTUK PREDIKSI STATUS KELULUSAN MAHASISWA S1 Enggar Novianto; Arief Hermawan; Donny Avianto
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3434

Abstract

Students are a crucial factor that must be considered in seriously evaluating study programs. The indicator of the success of the study program is the length of time it takes to complete the study. The study period is the time when students complete their studies. In addition, student study time reflects the level of student learning performance. In a broader perspective, the average student study time affects the quality of study programs and therefore student study time is used as one of the criteria in determining the assessment by the National Accreditation Board for Higher Education (BAN PT). The purpose of this study was to understand how well the K-Nearest Neighbor, Naive Bayes, Decision Tree performed to predict undergraduate students of the Law Study Program, Faculty of Law, Sebelas Maret University, graduating on time using the RapidMiner application. From the results of the testing and prediction process with the RapidMiner application using the three methods that have been carried out. The K-Nerest Neighbor (KNN) method obtained an accuracy of 96.67%, in the prediction test using the Naïve Bayes method it obtained an accuracy of 77.33%, while the Decision Tree method obtained an accuracy of 94.00%. So that the K-NN method is the best method in comparative classification in predicting student graduation on time with a predicted accuracy value of 96.67%.
OPTIMALISASI KINERJA MIKROKOMPUTER RASPBERRY Pi PADA SMART GREENHOUSE BERBASIS INTERNET OF THINGS (IoT) DENGAN ALGORITMA FORECASTING MOVING AVERAGE Darsono Nababan; Valeriano Fajar Alexandro Nipu; Rizald Rizald; Budiman Baso; Diki Arisandi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3452

Abstract

Smart Greenhouse merupakan sebuah terminologi konsep pertanian di era revolusi 4.0 yang sedang marak saat ini untuk membangun rumah kaca system cerdas. Kecerdasan yang dapat diimplementasikan adalah pemantauan dan pengendalian secara mudah dengan Mikrokomputernya yaitu Raspberry Pi sebagai running program dan parameternya adalah Suhu Udara, Kelembaban Udara, Sinar UV dan Kelembaban Tanah. Penelitian ini bertujuan untuk mengetahui optimalisasi parameter-parameter tersebut pada smart greenhouse dengan menggunakan metode forecasting moving average sehingga dalam penerapannya melalui pengamatan dan pengendalian ketiga sensor tersebut pada Smart Greenhouse agar dapat digunakan seefektif mungkin. Ketiga parameter tersebut yang dipelajari selama 3 bulan, diambil melalui alat dengan jangkauan waktu dari 08:00-16:00 WITA. Total dataset adalah 500 deret dengan 4 variabel. Peramalan ini menggunakan metode moving average. Evaluasi yang digunakan adalah MSE dan RMSE dengan hasil sensor suhu dan kelembaban udara (DHT22) sebesar 0,466, sensor uv (GUVA-S112SD) sebesar 56,198, dan sensor kelembaban tanah (Capital Soil Moisture) sebesar 65025,0.
ANALISIS DAN PERANCANGNAN ARSITEKTUR TEKNOLOGI PADA PERGURUAN TINGGI MENGGUNAKAN FRAMEWORK TOGAF M Khairul Anam; Rivaldi Dwi Andhika; Khusaeri Andesa; Herwin Herwin; Agustin Agustin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3459

Abstract

In general, higher education is divided into two categories of benefits from the application of Information and Communication Technology (ICT). The first is referred to as core values and supporting values. The computer network at STMIK Amik Riau currently uses the Telkom Speedy Wireless Network provider in each building. Then each student is only given 1 account to access the Hotspot network on the STMIK Amik Riau campus which can only be used on 1 laptop that is registered and capacity that has been limited or shared by network operators. However, the use of Hotspots that students want to access is only found in a few places which if used are smooth. To overcome these problems a framework is needed, one of which is TOGAF. TOGAF is a framework that has a set of supporting tools for developing enterprise architectures. TOGAF is a method that can be adapted to all changes and needs during planning. The purpose of this research is to get the gaps in the existing technology architecture and then provide recommendations in the form of the proposed technology architecture so that the existing gaps can be repaired and can run well. The results of this study found that to improve service to students, 7 application modules were needed and the need for improvements to the existing network at STMIK Amik Riau.
IMPLEMENTASI SISTEM INFORMASI DATA PELAKU USAHA PERIKANAN BUDIDAYA PADA DINAS PERIKANAN KOTA KUPANG Frensile Susanti Ndoen; Meiton Boru; Clarissa E. A. Pah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3475

Abstract

In 2022, the number of aquaculture business actors in the Kupang City Fisheries Service are 649 people, divided into 55 groups of business actors with 566 members and 83 individual business actors. Data processing for aquaculture business actors operated through Microsoft Office Excel (Ms. Excel) is not optimal because several obstacles frequently encountered, namely duplication of data, difficulty calculating the number of business actors, Large amounts of data are difficult to summarize because they are scattered across multiple Excel files, making it difficult for officers to create data reports on aquaculture business actors. Therefore, this study aims to create a system to assist officers in managing data on aquaculture business actors. The method used in this research is the Waterfall method because the advantage is that the quality of the resulting system will be good. After all, the implementation is carried out in stages. This system generates group data reports, business actor data, business data, pond data, production data, business registration data, training data, and histograms of the number of business actors based on gender, the number of businesses receiving Business Cards for Marine and Fisheries (KUSUKA), the number of businesses per nameplate group, the number of business actors per district, the number of businesses per district and the summary score of the number of aquaculture business actors. The results of black box testing conducted by three respondents to 12 menus show that all functional systems function as expected.
SISTEM PENILAIAN PERUMAHAN BERBASIS MOBILE MENGGUNAKAN METODE COMPLEX PROPORTIONAL ASSESSMENT Yusuf Sutanto; Budi Al Amin; Heribertus Ary Setyadi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3509

Abstract

Semakin bertambahnya jumlah penduduk maka kebutuhan memiliki rumah sebagai tempat tinggal pasti juga ikut meningkat. Banyak pengusaha perumahan terus melakukan persaingan agar dapat menarik konsumen untuk membeli dengan menawarkan sejumlah kelebihan dan harga yang terjangkau dan cara pembayaran yang tidak sulit. Maraknya pilihan perumahan tidak jarang menimbulkan kebingunan bagi calon konsumen atau kesulitan dalam memilih rumah atau perumahan. Sistem Pendukung Keputusan merupakkan sistem berbasis komputer yang dapat mendukung untuk mengambil keputusan dengan menggunakan data dan model dalam memecahkan suatu masalah. Tujuan penelitian ini adalah menghasilkan sistem pendukung keputusan untuk membantu calon konsumen dalam memilih rumah berdasarkan kriteria akses ke tempat pelayanan sosaial dan layanan publik. Sistem dibuat menggunakan pemrograman web dan mobile yang dapat diakses oleh calon konsumen sebagai bahan pertimbangan dalam memilih perumahan. Terdapat 23 layanan publik yang dijadikan kriteria dalam proses perhitungan metode Copras. Pemilihan metode Copras karena dapat menangani kriteria kuantitatif dan kualitatif dalam satu penilaian. Perhitungan metode Copras menghasilkan urutan : perumahan Kuantan dengan nilai signifikansi Qj dengan jumlah 18,96 dan nilai Nj sebesar 100%. Perumahan Safira Zahra dengan nilai signifikansi Qj sebesar 18,69 dan nilai Nj mendapatkan nilai signifikansi Qj sebesar 98%. Sedangkan Perumahan Permata sebesar 17,19 dan nilai Nj sebesar 91%. Dari hasil urutan tersebut maka perumahan Kuantan merupakan rekomendasi terbaik dari sistem yang dibuat.
IMPLEMENTASI DESAIN INFORMASI VISUAL MELALUI INSTAGRAM MENGGUNAKAN METODE MDLC Sri Mulyani; Alif Budi Santoso; Hersatoto Listiyono
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3513

Abstract

The National Search and Rescue Agency, known as BASARNAS, in carrying out its main tasks and functions in the field of search and rescue (SAR) requires information media with a wide reach so that more people or the public will feel the impact and benefits. This research focuses more on the implementation of easier and more attractive information designs for the public that can be accessed through Instagram social media. The information design presented visually using the MDLC method developed by Luther Sutopo is expected to be able to answer the challenges faced by BASARNAS Semarang in terms of disseminating information related to tasks, activities and events to the wider community. In this research activity, testing was carried out by distributing questionnaires to 100 respondents to explore responses to the information design that had been uploaded to Instagram. The results reveal that the overall visual design of the information presented is attractive and easy to understand. The colors used are contrasting, and the BASARNAS Logo is easy to find in the design.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENDAKIAN GUNUNG TERBAIK DI JAWA TENGAH MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGHTING) Wahyu Hadikristanto; Gatot Tri Pranoto
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3557

Abstract

The level of interest in mountain climbing activities has increased significantly, this is inseparable from the development of social media technology which exposes the charm of each mountain itself, so as to attract interest in climbing from various groups, both beginners and experienced. Because each climber has their own characteristics and needs and each mountain also has its own character, so that it will affect each climbing destination, prospective climbers must be able to determine which mountain will be chosen as the best mountain in Central Java province to be chosen. as a climbing location. This research uses secondary data, the alternative to be compared is a list of mountains in Central Java province with several criteria to be used. The method for processing data is the Simple Additive Weighting (SAW) method. This method is used to find the weighted sum and rating of each alternative and all attributes. The results of this study can be a reference for climbers in determining the best mountain to be used as a climbing location in Central Java province.

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