cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Iklima Ermis
Contact Email
iklimaermis.ismail@tik.pnj.ac.id
Phone
-
Journal Mail Official
anita.hidayati@tik.pnj.ac.id
Editorial Address
-
Location
Kota depok,
Jawa barat
INDONESIA
MULTINETICS
Published by Politeknik Negeri Jakarta
ISSN : 24432245     EISSN : 24432334     DOI : -
Core Subject : Science,
Computer Science & IT
Multinetics is a peer-reviewed journal is published twice a year (May and November). Multinetics aims to provide a forum exchange and an interface between researchers and practitioners in any computer and informatics engineering related field. Scopes this journal are Content-Based Multimedia Retrieval, Multimedia Application, Mobile Computing & Applications, The Internet of Things, Information Systems and Technologies, E- Learning & Distance Learning, Infrastructure Systems and Services, E-Business & E-Commerce, Artificial Intelligence, Embedded System, Network & Data Communication, Big Data and Data Mining, Software Engineering, Computer Network and Architecture, Soft Computing and Intelligent System and Networks and Telecommunication Systems
Arjuna Subject : -
Articles 314 Documents
 28   29   30   31   32 
Implementasi Metode Additive Ratio Assessment (ARAS) dalam Perbandingan Mobil Blind Van di Indonesia Setiawan, Santoso
MULTINETICS Vol. 10 No. 1 (2024): MULTINETICS Mei (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i1.6629

Abstract

This research was conducted to implement the Additive Ratio Assessment (ARAS) method to evaluate and compare blind vans available in Indonesia. Blind vans are important in the context of distribution of goods and services in various economic sectors. However, with a variety of options available, the process of selecting the right one requires careful thought. The ARAS method is a multi-criteria decision evaluation tool that allows objective assessment of different criteria, such as price, reliability, fuel consumption, load capacity, and safety features. There are 4 alternatives involved for comparison, namely Daihatsu Gran Max, Suzuki New Carry, Wuling Formo, DFSK Gelora. This research will involve data collection from various sources, including information from manufacturers, customer reviews, and market data. Once the data is collected, the ARAS method will be applied to evaluate different blind vans, assign weights to relevant criteria, and generate a relative ranking for each model. The results of this study ranked the Suzuki New Carry Blind Van first with a utility degree value of 0.844 and the DFSK Gelora Blind Van last with a utility degree value of 0.628.
Analisa Pengaruh Aplikasi Hafalan Al-Quran Juz 30 Berbasis iOS Terhadap Motivasi Pengguna Menggunakan Model MSLQ Hamidah, Dewi Nurul Hamidah; Rina Yulius
MULTINETICS Vol. 10 No. 1 (2024): MULTINETICS Mei (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i1.6672

Abstract

Indonesia is a country with the largest Muslim population in the world, but the number of Qur'an memorizers in Indonesia is still relatively small. One of the main obstacles faced is the lack of motivation in memorizing the Qur'an. One approach that can help increase motivation in memorizing is an approach through application media, considering the use of gadgets in Indonesia continues to increase, the application media approach is a potential solution. Through the application, the memorization process can become more interactive by utilizing surprising and delightful techniques. This research is limited to Al-Qur'an Juz 30 which is the final part of the Al-Qur'an. In addition to building the Qur'an memorization application, this research also analyzes the effect of the iOS based Juz 30 Qur'an memorization application on user motivation using the Motivated Strategies for Learning Questionnaire (MSLQ) model. The measurement results show that there is an influence between the Al-Qur'an memorization application and user motivation in memorizing. The Al-Qur'an memorization application has an influence of 26.2% on user motivation, while 73.8% of memorization motivation is influenced by other factors outside the study. Thus, it can be concluded that the Al-Qur'an memorization application has an influence on user motivation in memorizing, but there are still other factors that also affect this motivation.
Analisis Usability Menggunakan Model USE Questionnaire pada Aplikasi Presensi Magang Fauzia, Syifa; Yulius, Rina
MULTINETICS Vol. 10 No. 1 (2024): MULTINETICS Mei (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i1.6676

Abstract

This research aims to overcome the problems associated with the attendance system used by PT X. Currently, the attendance system uses RFID technology which has several problems, such as USB cables that are often loose, problems with internet connections, and the vulnerability of the system to fraud. Therefore, it is necessary to update the existing attendance system. The proposed solution is the development of an Android-based attendance application that uses Quick Response Code (QR Code) technology and geolocation. QR Code is a 2-dimensional bar code that has a larger data storage capacity compared to barcodes. Geolocation is used to limit the area of use of the attendance feature which can only submit attendance if the user is in the PT X area. This research consists of 2 stages, namely the application development stage and the application implementation analysis stage. The application development stage uses the System Development Life Cycle (SDLC) method by implementing a prototype model. In the analysis stage, this research uses descriptive quantitative research methods. The analysis was conducted using the USE Questionnaire model. The results of the usability analysis of the internship attendance application get a score of 87.74% so that based on the USE rating the application is categorized as very feasible.
Pengembangan Learning Management System dengan Framework Laravel dan Tailwind CSS Mardiana, Iklima; Wahyudin; Junaeti, Enjun
MULTINETICS Vol. 10 No. 1 (2024): MULTINETICS Mei (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i1.6678

Abstract

Education today is increasingly faced with the challenge of integrating technology in the learning process to improve quality and accessibility. In this context, the development of Learning Management System (LMS) using Laravel framework and Tailwind CSS becomes an interesting solution. Therefore, the purpose of this research is to develop a Learning Management System using Laravel framework and Tailwind CSS in its development, which is expected to create a technological solution that can improve the quality of learning and provide wider accessibility to learning resources. A research and development (R&D) approach is used in this study, which involves problem identification and needs analysis, solution concept design, LMS media development, testing, and media validation. The evaluation results showed significant validation, with 81.9% validation by lecturers and 100% by teachers, as well as an average validation of 90.95%, positioning the LMS in the "excellent" category and feasible to use as an online learning platform. Thus, the development of LMS using Laravel framework and Tailwind CSS has proven to be efficient and useful, providing relevant solutions to the quality and accessibility of learning.
Klasifikasi Masyarkat Miskin Menggunakan Metode Naïve Bayes Di Desa Jati Mulya Dede, Dede Latipah; Mochamad Arief Mardiansah; Esthi Adityarini
MULTINETICS Vol. 10 No. 1 (2024): MULTINETICS Mei (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i1.6682

Abstract

Abstract - Poverty is a major problem in Indonesia, including in Jati Mulya Village, East Sepatan District. Various efforts have been made to overcome poverty, such as social assistance from the government which aims to meet basic needs and improve living standards. However, the technical distribution of this assistance program is not quite evenly distributed. This research uses the Naive Bayes method to carry out classification with the help of the Orange application. The data used is data on poor residents from Jati Mulya Village RT 002 RW 004, using data mining techniques. The 18 data sets can be classified from training data and testing data into two classes, namely the poor and non-poor categories. Attributes used for population classification include age, education, employment, income, dependents, and marital status. The research results show 96% accuracy from manual calculations and the Orange application. Based on these results, the classification system developed can be used as a reference for decision makers. Keywords: Poverty level, Data Mining, Classification, Naive Bayes
Prototipe Otomasi Pemantauan Suhu Dan Pemberian Tekanan Gas Pada Pemeraman Pisang Cavendish Weny, Weny Indah Kusumawati; Harianto; Berlian Bunga Sari; Musayyanah
MULTINETICS Vol. 10 No. 1 (2024): MULTINETICS Mei (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i1.6694

Abstract

Di Indonesia, produksi buah pisang paling tinggi dibandingkan buah-buah lainnya. Salah satu variasinya adalah Pisang Cavendish, yang memiliki nilai ekonomi tinggi dan berpotensi mendukung pemulihan ekonomi Indonesia. Karena permintaan yang tinggi terhadap buah Pisang Cavendish, para petani menggunakan gas etilen untuk mempercepat pemeraman buah. Proses pemeraman dilakukan dengan mengarahkan gas etilen yang diambil dari wadah ke ruang pemeraman secara manual melalui sistem pipa. Tujuan dari penelitian ini adalah untuk membuat prototipe sistem otomatis penggunaan gas etilen dan pengatur suhu, dimana tekanan kompresor merupakan alternatif tekanan gas etilen. Sistem ini beroperasi secara otomatis sesuai dengan jadwal yang telah diatur pada Modul RTC. Ada sebuah Sensor Pressure Transmitter yang bertugas mengukur tekanan dengan tingkat kesalahan 3.5%, Selenoid Valve yang berperan dalam mengalirkan tekanan udara ke dalam kotak yang dilengkapi dengan kipas DC sebagai penyebar, serta Sensor DHT22 yang digunakan untuk pemantauan suhu dengan tingkat kesalahan 2.8%. Informasi mengenai waktu, suhu, dan nilai tekanan ditampilkan di layar LCD dengan ukuran 20x4. Pengujian sistem melibatkan penjadwalan waktu di mana perangkat dinyalakan satu menit setelah sistem diaktifkan. Selanjutnya, perangkat dihidupkan kembali setelah waktu berbeda-beda, yakni 2 dan 5 menit. Nilai tekanan diatur pada 30Psi. Berdasarkan hasil pengujian otomasi sistem, alat berhasil dengan tingkat keberhasilan mencapai 80%, sehingga sistem otomasi ini siap untuk diimplementasikan secara langsung pada perangkat pemeraman buah Pisang Cavendish.
Analisis Komparatif NetSpot dan Ekahau Dalam Optimalisasi Penempatan Access Point di DISDIKPORA Kabupaten Buleleng Purba, Darma Putra; Saskara, Gede Arna Jude; Yudistira, Bagus Gede Krishna
MULTINETICS Vol. 11 No. 02 (2025): MULTINETICS Nopember (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v11i02.7905

Abstract

Optimal access point (AP) placement is essential to ensure uniform and high-quality WiFi signal coverage, particularly in government institutions such as the Department of Education, Youth, and Sports (DISDIKPORA) of Buleleng Regency. This study aims to analyze and compare the effectiveness of Ekahau AI Pro and NetSpot applications in optimizing AP placement. The research methodology integrates Comparative Analysis, Action Research, and Benchmarking, following a structured process consisting of diagnosis, action planning, action taking, evaluation, and learning. Measurements were conducted through active and passive surveys, with cross-validation performed using WiFi Analyzer as a reference tool. Data were collected based on key parameters: Received Signal Strength Indicator (RSSI), blank spot detection, result consistency, and time efficiency. The results indicate that both applications accurately detected all blank spots. However, Ekahau AI Pro demonstrated higher consistency, with only a 1.5 dBm deviation, making it well-suited for long-term planning in complex building environments, despite requiring more time and higher costs. In contrast, NetSpot delivered sufficiently accurate results with an average difference of 6.75 dBm and significantly faster execution time, making it ideal for rapid network audits under limited budgets. Based on the findings, Ekahau AI Pro is recommended for complex environments demanding high accuracy, while NetSpot is more appropriate for fast, dynamic, and cost-effective assessments. This study provides technical recommendations for WiFi network optimization at DISDIKPORA and offers strategic guidance for selecting suitable network mapping tools in similar organizations.
Analisis Kepuasan Pengguna Aplikasi E- Ganesha pada Sistem Absensi Menggunakan Pendekatan PIECES Krisna, I Gede Natha; Putra, I Gusti Lanang Agung Raditya; Saskara, Gede Arna Jude
MULTINETICS Vol. 11 No. 02 (2025): MULTINETICS Nopember (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v11i02.7906

Abstract

This study analyzes user satisfaction with the attendance system of the e‑Ganesha application using the PIECES framework. The research adopts a quantitative descriptive design, collecting data through a Likert scale questionnaire administered to 170 respondents (85 employees and 85 lecturers) at Undiksha, complemented by open-ended questions to capture richer user feedback. Instrument validity was tested using the Pearson Product Moment correlation (all items met r-hitung > r-tabel), and reliability with Cronbach’s Alpha (α = 0.973), indicating excellent internal consistency. Using the Kaplan and Norton classification, overall satisfaction falls in the “satisfied” category. For employees, the highest mean scores are Information and Control & Security (4.49), while the lowest is Economy (4.29); for lecturers, Information is highest (4.62) and Economy is lowest (4.42). Qualitative responses highlight several areas for improvement: slower system speed during peak hours, error messages that are not sufficiently informative, inefficient leave request and approval flows, and limited administrative controls that may allow misuse. The PIECES analysis identifies strengths in informative outputs and data protection, with weaknesses in performance variability and process efficiency; opportunities include workflow automation and monitoring; threats involve declining user trust if friction persists. Recommendations synthesized via SWOT prioritize performance optimization, usability enhancements, streamlined processes, and governance controls. These findings provide actionable guidance for iterative improvements to e‑Ganesha’s attendance module and contribute to the broader literature on satisfaction evaluation in institutional information systems.
dfs Penerapan Mekanisme Kontrol Adaptif dalam Game Edukasi Penyakit Diabetes Menggunakan Finite State Machine: Studi Kasus pada Pengembangan Game Interaktif untuk Meningkatkan Kesadaran Pengelolaan Gula Darah Firman Sasetyo, Danang; Asmiatun, Siti
MULTINETICS Vol. 11 No. 02 (2025): MULTINETICS Nopember (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v11i02.7705

Abstract

Diabetes mellitus merupakan penyakit kronis yang memerlukan pemahaman mendalam tentang pengelolaan gula darah, pola makan, dan aktivitas fisik. Edukasi konvensional tentang diabetes seringkali kurang menarik dan sulit dipahami, terutama bagi kelompok usia muda. Penelitian ini mengembangkan game edukasi berbasis mekanisme kontrol adaptif menggunakan Finite State Machine (FSM) untuk meningkatkan pemahaman tentang manajemen diabetes mellitus. Metode yang digunakan meliputi perancangan sistem FSM untuk mengelola berbagai kondisi dan skenario dalam game edukasi diabetes. Algoritma kontrol adaptif diterapkan untuk menyesuaikan tingkat kesulitan game berdasarkan performa pemain secara real-time. Sistem menggunakan parameter input berupa pilihan makanan atau aktivitas fisik untuk mengontrol transisi antar state dalam FSM. Hasil penelitian menunjukkan bahwa implementasi FSM berhasil menciptakan gameplay yang responsif dan adaptif terhadap kemampuan pemain. Mekanisme kontrol adaptif mampu menyesuaikan tingkat kesulitan secara dinamis, memungkinkan setiap pemain mendapatkan pengalaman belajar yang optimal. Sistem FSM yang dikembangkan efektif dalam mengelola transisi state, menciptakan simulasi kondisi diabetes yang realistis dalam lingkungan game edukasi. Integrasi antara mekanisme kontrol adaptif dan FSM menghasilkan platform edukasi interaktif yang mudah dipahami untuk pembelajaran manajemen diabetes mellitus. Penelitian ini membuktikan bahwa penerapan FSM dalam game edukasi dapat menjadi alternatif efektif untuk meningkatkan literasi kesehatan tentang diabetes.
“Seeker” Platform LMS Pengembangan dan Penyediaan Tenaga Kerja Kompeten Hasirun; Prakosa, Herjuna Ardi; Rachindratama, Joda; Zahbika, Putra Maulana; Rifai, Zanuar; Faqih, Husni; Nur Afiana, Fiby
MULTINETICS Vol. 11 No. 02 (2025): MULTINETICS Nopember (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

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

Abstract

The Industrial Revolution 4.0 is estimated to eliminate 23 million jobs but create 46 million new types of jobs based on technology such as IoT, AI, and Big Data. This change demands the readiness of human resources, including in the MSME sector, as well as increased digital competency. Many companies now require skills certification in addition to formal diplomas. LMS (Learning Management Systems) are present as digital learning solutions that manage materials, assignments, and online learning interactions. However, most LMSs still focus on formal education, not on developing skills for high school/vocational school or university graduates. The aim of this research is to combine elements of LMS and job seekers in an effort to strengthen the advantages of future generations through competitive qualifications, skills, and technology in the industry. This platform allows collaboration with educational institutions, industry, and MSMEs to build a strong cooperative ecosystem in the socio-environmental field. Using the Prototype method as a software development method to support the success of the research. The LMS "Seeker" is present as a platform for providing competent workers through certified skills classes at affordable prices. Its advantages are a curriculum relevant to industry needs, increased workforce competitiveness, and access to broad job opportunities

Page 31 of 32 | Total Record : 314

 28   29   30   31   32 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol. 11 No. 02 (2025): MULTINETICS Nopember (2025) Vol. 11 No. 1 (2025): MULTINETICS Mei (2025) Vol. 10 No. 2 (2024): MULTINETICS Nopember (2024) Vol. 10 No. 1 (2024): MULTINETICS Mei (2024) Vol. 9 No. 2 (2023): MULTINETICS Nopember (2023) Vol. 9 No. 1 (2023): MULTINETICS Mei (2023) Vol. 8 No. 2 (2022): MULTINETICS Nopember (2022) Vol. 8 No. 1 (2022): MULTINETICS Mei (2022) Vol. 7 No. 2 (2021): MULTINETICS Nopember (2021) Vol. 7 No. 1 (2021): MULTINETICS Mei (2021) Vol. 6 No. 2 (2020): MULTINETICS Nopember (2020) Vol. 6 No. 1 (2020): MULTINETICS Mei (2020) Vol 6, No 1 (2020): Multinetics May (2020) Vol. 5 No. 2 (2019): MULTINETICS Nopember (2019) Vol 5, No 2 (2019): Multinetics Nopember (2019) Vol 5, No 1 (2019): MULTINETICS MEI (2019) Vol. 5 No. 1 (2019): MULTINETICS Mei (2019) Vol 5, No 1 (2019): MULTINETICS MEI (2019) Vol 4, No 2 (2018): MULTINETICS NOPEMBER (2018) Vol 4, No 2 (2018): MULTINETICS NOPEMBER (2018) Vol. 4 No. 2 (2018): MULTINETICS Nopember (2018) Vol. 4 No. 1 (2018): MULTINETICS Mei (2018) Vol 4, No 1 (2018): MULTINETICS MEI (2018) Vol. 3 No. 2 (2017): MULTINETICS Nopember (2017) Vol 3, No 2 (2017): MULTINETICS NOPEMBER (2017) Vol 3, No 1 (2017): MULTINETICS Mei (2017) Vol. 3 No. 1 (2017): MULTINETICS Mei (2017) Vol. 2 No. 2 (2016): MULTINETICS Nopember (2016) Vol 2, No 2 (2016): MULTINETICS Nopember (2016) Vol 2, No 1 (2016): MULTINETICS Mei (2016) Vol. 2 No. 1 (2016): MULTINETICS Mei (2016) Vol. 1 No. 2 (2015): MULTINETICS Nopember (2015) Vol 1, No 2 (2015): MULTINETICS Nopember (2015) Vol 1, No 1 (2015): MULTINETICS Mei (2015) Vol. 1 No. 1 (2015): MULTINETICS Mei (2015) More Issue