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Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Published by Universitas Hasyim Asy'ari
ISSN : 31090117     EISSN : 25487795     DOI : -
Core Subject : Science,
Computer Science & IT
INOVATE: Jurnal Ilmiah Inovasi Teknologi Informasi adalah jurnal ilmiah yang diterbitkan oleh Fakultas Teknologi Informasi, yang bertujuan untuk menampung dan mempublikasikan hasil penelitian yang dilakukan oleh dosen dan mahasiswa dari program studi Teknik Informatika, Sistem Informasi, serta Ilmu Komputer. Jurnal ini berfungsi sebagai wadah untuk pengembangan ilmu pengetahuan di bidang teknologi informasi, dengan penekanan pada inovasi serta penerapan teknologi terbaru dalam menyelesaikan permasalahan yang ada di masyarakat dan industri. Fokus utama jurnal ini meliputi penelitian yang berkaitan dengan bidang teknologi informasi, sistem informasi, rekayasa perangkat lunak, serta ilmu komputer. Setiap artikel yang diterbitkan dalam jurnal ini melalui proses review yang ketat, dengan tujuan memberikan kontribusi yang signifikan terhadap pengembangan teori, konsep, serta aplikasi dalam dunia teknologi informasi. Selain itu, jurnal ini juga bertujuan untuk memfasilitasi kolaborasi antara akademisi dan praktisi guna mendorong implementasi solusi teknologi yang relevan dengan kebutuhan industri serta perkembangan sosial yang dinamis. INOVATE diterbitkan secara berkala dengan frekuensi dua kali setahun dan terbuka untuk publikasi berbagai jenis artikel, termasuk penelitian dasar, pengembangan teknologi, serta studi kasus yang mengangkat inovasi di bidang sistem informasi, kecerdasan buatan, dan teknologi berbasis web maupun mobile.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol 10 No 1 (2025): September" : 12 Documents clear
SISTEM PENDUKUNG KEPUTUSAN BERBASIS WEB UNTUK MENENTUKAN SISWA PENERIMA BANTUAN PIP MENGGUNAKAN METODE TOPSIS fauzi, umar; Indriyanti, Aries Dwi; Vitadiar, Tanhella Zein; Mufarrihah, Iftitaahul
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9026

Abstract

Education is an important element in nation building, with the Smart Indonesia Programme (PIP) as one of the government initiatives to improve access and quality of education for students from economically weak families. However, the implementation of PIP often faces obstacles in the selection of beneficiaries, especially in manual processes that are prone to subjectivity and human error. This research aims to develop a web-based decision support system with the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to improve the objectivity, efficiency, and accuracy of PIP beneficiary selection at MI Al-Adnani, Jombang.The research was conducted through the stages of analysis, data collection, and method implementation. The TOPSIS method was chosen because of its ability to handle uncertainty in decision-making by considering various criteria such as parents‘ income, number of family dependents, parents’ occupation, orphan status, and ownership of KIP and PKH cards.The results showed that the application of the TOPSIS method was successfully integrated into a web application, resulting in a ranking of students who are eligible to receive assistance objectively and transparently. In a comparison test of calculations using the TOPSIS method between the system and Excel, the same recommendation of students receiving aid was obtained, with the highest scores for Amrullah Rafie Purnawan (0.7), Muhammad Afnan Atma Purnama (0.7), and Hayqo Mazaya (0.6). This application is proven to be effective in reducing subjectivity, increasing selection accuracy, and providing transparency to the school so that it can be a quick and efficient solution in the distribution of educational assistance at MI Al-Adnani. Keywords: Indonesia Smart Program, Decision Support System, TOPSIS, Website
SISTEM PENDUKUNG KEPUTUSAN REKRUTMEN PANITIA PENGAWAS PEMILU KECAMATAN (PANWASCAM) MENGGUNAKAN METODE SMART DI BAWASLU KABUPATEN PONOROGO BERBASIS WEB Pawindyanto, Aditya Danang; Mashuri, Chamdan; Vitadiar, Tanhella Zein; Sucipto, Hadi
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9185

Abstract

General Elections (Pemilu) are a crucial pillar of Indonesian democracy, and their success heavily relies on effective oversight. The District Election Supervisory Committee (Panwascam) plays a vital role in ensuring the integrity of elections at the district level. This research aims to design and implement a Decision Support System (DSS) for the recruitment process of the Panwascam at Bawaslu Ponorogo Regency. The Panwascam selection process often faces challenges due to the large number of applicants, which can make it difficult for the selection team to determine the best candidates according to the established criteria. To overcome these issues, a web-based DSS utilizing the Simple Multi-Attribute Rating Technique (SMART) method was developed. The SMART method was chosen for its ability to analyze and assign weights to various criteria transparently and simply, thereby generating more objective and efficient selection recommendations. The output of this system is a final SMART calculation result that can be used by Bawaslu Ponorogo Regency as a recommendation in the decision-making process for accepting Panwascam members. It is expected that with this SMART-based DSS, the Panwascam selection process can run faster and more accurately, and reduce subjectivity in determining successful candidates. The system's accuracy evaluation shows a Mean Absolute Percentage Error (MAPE) of 0.0048%, confirming a high consistency and reliability between the system's calculation results and manual calculations.
Analisis Tingkat Keamanan File Dokumen Menggunakan Algoritma Advanced Encryption Standard (AES) -, Hasan Shadzily; Bambang Sujatmiko
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9251

Abstract

Data security in document files that are sent or stored digitally is one of the problems in the current technological era. Especially the use of digital platforms to share information can be a target for data theft, so a solution is needed to protect the confidentiality and integrity of data sent over the internet network. One way to solve this problem is to implement a secure and easy-to-implement cryptographic algorithm, one of which is the Advanced Encryption Standard (AES) with a key length of 128 bits. AES is an algorithm that has proven its security and is widely used to protect data in various applications. By encrypting document files using AES, data sent via digital platforms can be protected and prevent access from unauthorized parties, because only those who have the key can decrypt it. The results of the ciphertext randomness test using Shannon entropy obtained an average entropy value of 7.96. This value proves that the randomness level of the ciphertext is very high, approaching the maximum value of 8 which produces a random ciphertext, thus strengthening data security from potential pattern analysis or cryptanalyst attacks.
IMPLEMENTASI METODE SMART (SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE) UNTUK PENILAIAN KINERJA GURU BERBASIS WEB Hadi Prayitno, Muhammad; sucipto, hadi
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9258

Abstract

Abstract Objective and transparent teacher performance appraisal is very important to improve the quality of education. This research aims to develop a web-based teacher performance appraisal system using the SMART (Simple Multi-Attribute Rating Technique) method at SMK 10 November Jombang. The system allows assessment based on four main criteria: Pedagogic (40%), Personality (20%), Social (20%), and Professional (20%), with 14 indicators to assess teacher performance. The results show that the application of the SMART method in a web-based system can improve the objectivity and transparency of the assessment. Teachers with the highest utility scores such as Eti Pertiwisasi, S.Pd, Desy H Arini, S.Kom, Deny Saputro, S.Kom, and Angga Setiya Budi, S.Kom scored 1.00, while Anggit Kinanti, S.Pd scored 0.93. The system also supports more objective decision-making and provides constructive feedback for teachers' professional development. The results of this system compared to manual calculations show high consistency. This research is expected to contribute to improving the quality of teacher performance appraisal and the quality of education at SMK 10 November Jombang. Keywords: Teacher performance appraisal, SMART, web-based system, objectivity, transparency. DAFTAR PUSTAKA Akram, M., Munir, F., & Ahmad, B. (2021). Effect of Teacher Performance Evaluation on School Effectiveness. Sir Syed Journal of Education & Social Research (Sjesr), 4(1), 431–439. https://doi.org/10.36902/sjesr-vol4-iss1-2021(431-439) Alfi Azqia Uzzulfa Haq, Tanhella Zein Vitadiar, I Kadek Dwi Nuryana, & Muhammad Fatkhur Rizal. (2024). SISTEM PENDUKUNG KEPUTUSAN PERKEMBANGAN BELAJAR ANAK TK EL-YAMIEN 1 TUBAN MENGGUNAKAN METODE SMART BERBASIS WEB. Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi, 9(1), 173–181. https://doi.org/10.33752/inovate.v9i1.7270 Astriani, M., Indah, F. S., & Seri, H. (2023). Pengukuran Kinerja Guru Di SMP Nurul Qomar Palembang Di Era Kurikulum 2013 Dan Selama Pandemi Covid-19. Jurnal Sains Dan Edukasi Sains. https://doi.org/10.24246/juses.v5i2p81-86 Borja, P. J. E. (2024). The Evaluation of Teacher Professional Performance, Engine of Performance. International Journal of Human Sciences Research, 4(18), 2–6. https://doi.org/10.22533/at.ed.5584182431055 Coffin, T. B., Bowen, D. J., Swisher, E. M., Lu, K. H., Rayes, N., Norquist, B. M., Blank, S. V., Levine, D. A., Bakkum‐Gamez, J. N., Fleming, G. F., Olopade, O. I., D’Andrea, A. D., Nebgen, D., Peterson, C. B., Munsell, M. F., Gavin, K., Lechner, R., Crase, J., Polinsky, D., & Romero, I. L. (2022). An Accessible Communication System for Population-Based Genetic Testing: Development and Usability Study. Jmir Formative Research, 6(10), e34055. https://doi.org/10.2196/34055 Darmawan, R., Andriani, A., Fatkhur Rizal, M., & Widoyoningrum, S. (2024). SISTEM PENDUKUNG KEPUTUSAN PELANGGARAN TATA TERTIB SANTRI MENGGUNAKAN METODE SMART. Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi, 9(1), 10–17. https://doi.org/10.33752/inovate.v9i1.7230 Demir, K. A. (2021). Smart Education Framework. Smart Learning Environments, 8(1). https://doi.org/10.1186/s40561-021-00170-x Dharmawan, D. (2024). Application of TOPSIS Method to Design a Decision Support System in Assessing Teachers Performance. Jurnal Informasi dan Teknologi, 64–69. https://doi.org/10.60083/jidt.v6i1.474 Ford, T. G., & Hewitt, K. K. (2020). Better Integrating Summative and Formative Goals in the Design of Next Generation Teacher Evaluation Systems. Education Policy Analysis Archives, 28, 63. https://doi.org/10.14507/epaa.28.5024 Jiang, J., & Wang, H. (2023). Design of Evaluation Index System for Smart Classroom Learning Activities Based on Multimodal Data. 345–356. https://doi.org/10.2991/978-94-6463-242-2_43 Karyaningsih, D. (2023). Decision Support System for Teacher Performance Assessment Using the Weighted Product Method. International Journal of Information Technology and Computer Science Applications, 1(2). https://doi.org/10.58776/ijitcsa.v1i2.21 Kundra, S., Jha, N., & Dhiman, S. (2024). Association of Ergonomics and Musculoskeletal Disorders Among School Teachers. International Journal of Science and Research Archive, 11(1), 1598–1604. https://doi.org/10.30574/ijsra.2024.11.1.0205 Li, W., & Fan, X. (2021). Construction of Network Multimedia Teaching Platform System of College Sports. Mathematical Problems in Engineering, 2021, 1–11. https://doi.org/10.1155/2021/6304703 Liu, M., Zhou, R., Dai, J., & Feng, X. (2022). Analysis and Practice of Using Modern Information Technology for Classroom Teaching Mode Reform. Mobile Information Systems, 2022, 1–8. https://doi.org/10.1155/2022/2565735 Lumbangaol, S. K., Nababan, E. B., & Lydia, M. S. (2022). Sistem Pendukung Keputusan Penilaian Kinerja Guru Selama Pembelajaran Daring menggunakan Metode Vikor. JURNAL MEDIA INFORMATIKA BUDIDARMA, 6(2), 1153. https://doi.org/10.30865/mib.v6i2.3798 Lungu, S., & Daka, H. (2022). Internal Monitoring and Evaluation of Teaching in Secondary Schools of Kabwe District in Central Province, Zambia. Challenges and Possible Solutions. International Journal of Research and Innovation in Social Science, 06(01), 180–186. https://doi.org/10.47772/ijriss.2022.6114 Radnaa, N., Davaa, A., Dashzeveg, T., & Purevsuren, T. (2021). Development of Concept Model for Evaluation, Enhancement and Promotion of University Teachers. https://doi.org/10.15405/epsbs.2021.07.02.6 Setiawan, W., Nurwahid Pranoto, & Khoirul Huda. (2020). Employee Performance Evaluation Decision Support System with the SMART (Simple Multi-Attribute Rating Technique) Method. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 4(1), 50–55. https://doi.org/10.29207/resti.v4i1.1384 Sumer, S., & Abou, S. (2020). The Uses of Smart Devices in Teaching English for Palestine. International Journal on Studies in English Language and Literature, 8(2). https://doi.org/10.20431/2347-3134.0802002 Tridora, V. A., Badaruddin, K., & Amilda, A. (2021). The Strategi Kepala SD-LB dalam Meningkatkan Kinerja Guru. Studia Manageria, 3(1), 53–68. https://doi.org/10.19109/studiamanageria.v3i1.7337 Wibowo, F. (2023). Adopsi Teknologi SMART (Simple Multi-Attribute Rating Technique) Dalam Penilaian Kinerja Karyawan. Entrepreneurship Bisnis Manajemen Akuntansi (E-Bisma), 340–349. https://doi.org/10.37631/ebisma.v4i2.1184 Yan, L., & Guo, Y. (2021). Research on the Strategy of Smart Classroom Construction Based on Teachers’ Data Literacy. SHS Web of Conferences, 123, 01017. https://doi.org/10.1051/shsconf/202112301017 Zhang, M., & LI, W.-P. (2021). An Automatic Classification Method of Sports Teaching Video Using Support Vector Machine. Scientific Programming, 2021, 1–8. https://doi.org/10.1155/2021/4728584 Zhang, S., & Zhou, A. (2023). The Construction and Practice of a TPACK Development Training Model for Novice University Teachers. Sustainability, 15(15), 11816. https://doi.org/10.3390/su151511816
PENERAPAN METODE QOS UNTUK EVALUASI JARINGAN INTERNET DI ITEBIS PGRI DEWANTARA JOMBANG Tofan Putra Irianto; Chamdan Mashuri
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9260

Abstract

The internet has become a very vital infrastructure in supporting various academic and administrative activities in higher education. This research aims to evaluate the performance of the internet network at ITEBIS PGRI Dewantara Jombang using the Quality of Service (QoS) method, which includes measuring parameters such as Throughput, Delay (Latency), Packet Loss, and Jitter. The application of the QoS method proved effective in providing a clear picture of network performance, which was measured in various campus locations such as PPSI, Library, and KPM. Using a web-based application developed with the Laravel framework, network performance data can be managed and visualized easily, allowing Admins and Heads to manage and monitor network service quality in real-time. The results show that locations such as PPSI have excellent service quality with an average index value of 3.5, while other locations such as the Library and KPM have sufficient service quality with an average index value of 2. Although the available bandwidth is quite large, problems such as uneven traffic distribution or sub-optimal configuration need to be fixed to improve service quality in some locations.
SISTEM INFORMASI MONITORING KUALITAS UDARA BERBASIS INTERNET OF THINGS DENGAN METODE FUZZY MAMDANI Alvin Mubarok, Muhamad; Chamdan Mashuri
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9355

Abstract

Air quality is an important factor that affects human health, especially in densely populated urban areas. This research aims to develop an Internet of Things (IoT)-based air quality monitoring information system using the Fuzzy Mamdani method. The problem faced is the lack of an air quality monitoring system that can provide real-time data in Jombang Square, which is an area with a high level of vehicles. The method used in this study is Fuzzy Mamdani, which allows the processing of data from sensors to determine the air quality category, which is good, bad, or harmful. The system uses an ESP-12 NodeMCU microcontroller, an MQ-135 sensor to detect carbon monoxide (CO), and a DHT11 sensor to measure temperature and humidity. The collected data will be analyzed and displayed in real-time through the blynk app, which also notifies users when the air quality reaches dangerous levels. The test results showed that the system was able to classify air quality with good accuracy, with an average Mean Absolute Error of 0,4%. This system has proven to be effective in providing accurate and responsive information about air quality conditions, so that it can be used as a tool in decision-making related to public health.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA TERBAIK DI EEC JOMBANG MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY M. Hamzah Ulumuddin; Chamdan Mashuri
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9358

Abstract

The selection of the best student is a routine agenda carried out by educational institutions as a form of appreciation for students who have superior achievements in various aspects. As applied at EEC Jombang, the best student selection process has been done manually by referring to the test score results. Therefore, it is necessary to have a web-based decision support system so that it can facilitate the selection of the best students in a more objective and structured manner. This research designs the system by applying the Multi Attribute Utility Theory (MAUT) method, because this method is able to handle various criteria and produce utility values for each alternative. The criteria in using the system include test scores, activeness, discipline, and attendance. The system is developed with the PHP programming language and utilizes MySQL as its database. The results of the application of the MAUT method show that the system is able to automatically calculate student preference scores based on predetermined criteria weights, as well as compile rankings to determine the students who are most deserving of the best title. The presence of this system makes the best student selection process more efficient, transparent, and accountable. Keywords: Decision Support System, Multi-Attribute Utility Theory, Top Students.
IMPLEMENTASI SISTEM PEMILIHAN GURU TERBAIK MENGGUNAKAN METODE SMART DAN BORDA BERBASIS WEBSITE Choirun Nizar, Reza; Anita Andriani
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9371

Abstract

Choosing the top educator serves as a recognition of the efforts of teachers who play a vital role in enhancing educational standards. The purpose of selecting the best teacher is to encourage motivation, dedication, responsibility, and professionalism among teachers. At SDN Blimbing, the process of selecting the best teacher is still done manually and uses only one assessment criterion, namely discipline. This causes the teacher selection process to be less objective and unstructured. As a solution to this problem, a web-based system for selecting the best teacher was designed by applying the SMART (Simple Multi Attribute Rating Technique) and BORDA methods. The SMART method is used to calculate the final score based on predetermined criteria, while the BORDA method is used to determine the teacher's ranking based on the voting results from several evaluators. The criteria used in this study include attendance, discipline, administrative completeness, teaching practice, and teaching obligations. The results of this study show that the developed system can simplify the teacher selection process automatically and produce objective teacher rankings. This system has also proven to improve accuracy and efficiency in decision-making. Based on data testing, the teacher with the highest ranking is Fitri Dwi Rahayu with a final score of 30.88, while the teacher with the lowest ranking is Hijrah Pua with a final score of 0.25.
PENERAPAN ALGORITMA APRIORI UNTUK MENENTUKAN REKOMENDASI ANIME RATING TINGGI DENGAN JUMLAH PENONTON SEDIKIT (Studi Kasus: Situs MyAnimeList.net) Diah Puspita, Dwi Ratna Ayu; Mashuri, Chamdan; Ahmad Heru Mujianto; Indana Lazulfa
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9386

Abstract

Abstract High-quality yet less popular anime recommendations are a need for users on MyAnimeList.net, a platform containing thousands of anime titles with varying ratings and viewership numbers. This study aims to apply the Apriori algorithm to determine anime recommendations with high ratings but low viewership, using data from MyAnimeList.net. In the growing anime industry, many high-quality anime titles receive little attention from viewers. Therefore, it is essential to develop a recommendation system that can help users discover anime they may have missed. The dataset used consists of rating and viewership data from MyAnimeList.net. Through filtering and analysis, the Apriori algorithm successfully identified relationships among anime titles that meet the criteria of high ratings and low viewership, resulting in more targeted recommendations. This research is expected to contribute to the development of data mining-based recommendation systems, especially for recommending content that is rarely viewed yet has high quality. The use of the Apriori algorithm in content recommendations also shows potential in helping users find preferences that are more diverse and relevant to their interests.
SISTEM INFORMASI CLUSTER DATA BARANG UNTUK MENGETAHUI MINAT BELI KONSUMEN PADA TOKO BROTO MENGUNAKAN ALGORITMA K-MEANS: Indonesia Habibanis, Fauzani; Ahmad Heru Mujianto
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9388

Abstract

An information system for managing sales and inventory data is highly needed by business owners, especially for Broto Store, which operates at a mid-to-upper sales scale. Manual data processing is highly ineffective and can complicate record-keeping, leading to inaccuracies in reporting and ultimately affecting business decisions, particularly in inventory management. This study aims to develop a computerized sales and inventory information system equipped with a clustering feature using the K-Means algorithm to identify consumer buying interest in the products sold. The K-Means algorithm is utilized in this system by using total stock and total sales data as variables to determine the cluster results: less popular, popular, and very popular. The system is designed as a web-based application to simplify operations, transaction recording, inventory management, and consumer buying interest analysis. The implementation results of the clustering process performed by the system showed an accuracy of 94.44% when calculated using the clustering match ratio compared to manual calculations.

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