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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Produktif : Jurnal Ilmiah Pendidikan Teknologi Informasi INTECOMS: Journal of Information Technology and Computer Science JUMANJI (Jurnal Masyarakat Informatika Unjani) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Mantik INTI Nusa Mandiri JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Abdimas ADPI Sosial Dan Humaniora TIERS Information Technology Journal Teknologika Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Bangkit Indonesia RISTEC : Research in Information Systems and Technology JuSTISe: Journal Data Science, Technology, Informatics and Security
Resmi, Mochzen Gito
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Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Selection of Outstanding Lecturers Using the Simple Multi-Attribute Rating Technique (SMART) Method Dede Irmayanti; Mochzen Gito Resmi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2338

Abstract

Lecturers play a crucial role as professional educators in the implementation of higher education through the Tridarma Perguruan Tinggi (Triple Dharma of Higher Education), which encompasses education, research, and community service. The selection of exemplary lecturers serves as both a form of recognition and a motivational instrument to enhance institutional quality. However, the selection process is often hindered by subjective assessments and the lack of standardized measurement, which may lead to dissatisfaction and diminish the objectivity of the results. This study aims to address these issues by implementing a Decision Support System (DSS) using the Simple Multi-Attribute Rating Technique (SMART) method. The SMART method was selected for its effectiveness in facilitating multi-criteria decision-making through weight assignment to priority parameters, such as scientific publications, educational qualifications, and external achievements. The results of this system implementation are provide structured, transparent, and accurate decision recommendations, ensuring that the selection of exemplary lecturers is conducted objectively based on measurable data.
Decision Table Dalam Pengalokasian Dana Bantuan Terhadap Masyarakat Kurang Mampu Mochzen Gito Resmi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 6 No. 2 (2018): September 2018
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v6i2.1506

Abstract

Abstract The making of this research is based on the process of selecting poor people for the allocation of funds that are still done manually. Some methods are used in one form of decision decision (decision table). structured using Diagrams, DFD, ERD, Flowmap as modeling languages and using waterfall device development methods which include 4 stages, namely communication (beginning, techniques to get user needs), planning (making forecasts, scheduling), modeling (analysis and design) and construction (program codes, testing). The results of this study are expected to assist in the allocation of funds to be right on target which can then be developed into a useful information system. Keywords: Decision Table, Information System, Waterfall. Abstrak Pembuatan penelitian ini dilatar belakangi oleh proses penyeleksian masyarakat yang kurang mampu untuk pengalokasian dana bantuan yang masih dilakukan secara manual sehingga terkadang dana bantuan tersebut menjadi tidak tepat sasaran. Terdapat beberapa metode yang digunakan dalam perhitungan kelayakan penerima dana bantuan masyarakat, salah satunya adalah decision table (table keputusan). dibuat bersifat terstruktur dengan menggunakan Diagram Konteks, DFD, ERD, Flowmap sebagai bahasa pemodelan dan menggunakan metode pengembangan perangkat lunak waterfall yang meliputi 4 tahapan yaitu communication (permulaan proyek, teknik untuk mendapatkan spesifikasi kebutuhan pengguna), planning (membuat prakiraan-prakiraan, penjadwalan), modeling (analisis dan perancangan) serta construction (penulisan kode-kode program, pengujian). Hasil penelitian ini maka diharapkan dapat membantu dalam pengalokasian dana agar tepat sesuai sasaran yang kemudian dapat dikembangkan menjadi sebuah sistem informasi yang bermanfaat. Kata kunci: Decision Table, Sistem Informasi, Waterfall.
Sistem Pendukung Keputusan Gaya Belajar Siswa Berbasis Website Menggunakan Metode WASPAS Salik Elhanan; Mochzen Gito Resmi; Ismi Kaniawulan
Journal Data Science, Technology, Informatics and Security Vol 4 No 1 (2026): Jurnal Data Science, Technology, Informatics and Security (Juni 2026)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v4i1.5007

Abstract

Determining students' learning styles is an essential aspect of optimizing the information absorption process in learning activities. However, the learning style identification process at SMP Fullday Al-Muhajirin Purwakarta is currently still carried out through manual recapitulation which takes time and has the potential to cause subjective bias in decision making by Guidance and Counseling (BK) teachers. This research provides a solution by developing an integrated website-based Decision Support System (DSS) using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The aim is to automate the classification of students' learning styles into Visual, Auditory, or Kinesthetic (VAK) categories quickly and precisely. The software engineering method used is Prototype, which focuses on iterating user needs directly. This system was built using the Laravel 10 framework and MySQL database. The results of this research prove that the WASPAS method is able to process questionnaire instrument data into a stable decision matrix, producing structured ranking accuracy. Software testing shows that all application modules run smoothly, so this system has practically succeeded in accelerating the duration of identifying student learning styles and assisting BK teachers in designing targeted academic approach strategies.
Penerapan Rule-Based System Berbasis Data Temporal pada Sistem Monitoring Masa Kerja dan Proyeksi Pensiun Annisa Azzahra; Ismi Kaniawulan; Mochzen Gito Resmi
Journal Data Science, Technology, Informatics and Security Vol 4 No 1 (2026): Jurnal Data Science, Technology, Informatics and Security (Juni 2026)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v4i1.5015

Abstract

Personnel data management at BKPSDM Purwakarta Regency still faces challenges in monitoring employee service periods and identifying personnel approaching retirement due to the lack of automated data processing. This study aims to develop the JAPEL personnel information system by implementing a temporal data-based Rule-Based System for employee service period monitoring and retirement projection. The system was developed using the prototyping method with PHP, the Laravel Framework, and MySQL. Temporal data was applied to calculate employee age, remaining service period, and estimated retirement date, while the Forward Chaining inference method was used to classify employee status based on predefined rules. The results show that the system can monitor employee service periods, identify employees approaching retirement, project position vacancies, and generate reports automatically. Functional testing using Blackbox Testing with the Equivalence Partitioning technique confirmed that all system functions operated as expected. The developed system improves personnel data management and supports decision-making in workforce planning.
SISTEM PAKAR DIAGNOSA PENYAKIT PADA DOMBA DENGAN MENGGUNAKAN METODE FUZZY MAMDANI Cucu Kardila; Muhammad Rafi Muttaqin; Mochzen Gito Resmi
INTI Nusa Mandiri Vol. 18 No. 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4314

Abstract

Abstract—The decreasing sheep population has raised serious concerns regarding its impact on both the livestock industry and export opportunities. One of the main factors contributing to this decline is the prevalence of diseases among sheep. These illnesses present a significant problem as they can lead to reduced meat production, animal fatalities, and economic losses. The limited knowledge among farmers regarding these diseases and sheep care makes it challenging to diagnose and treat the conditions effectively. To address this issue and aid farmers in easily diagnosing diseases, a web-based expert system utilizing the fuzzy Mamdani method was developed. The selection of the fuzzy Mamdani method was based on its ability to handle uncertainty in disease diagnosis, providing reasonably accurate results by evaluating symptoms, determining disease severity, and recommending appropriate treatments. Through the fuzzy Mamdani method and the web-based platform, this system offers convenient access for farmers to diagnose diseases in their sheep online. According to the analysis results, reproductive health disorders are the primary cause of the decline in the sheep population. Consequently, the expert system for diagnosing sheep diseases serves as an alternative for early prevention and suitable treatment. System testing indicates an accuracy rate of 80%, signifying the system's capability to provide reasonably accurate diagnoses. The main goal of this research is to support the livestock and fisheries department in Purwakarta in diagnosing sheep diseases, preventing epidemic outbreaks, and implementing proper measures to mitigate the negative impacts on the livestock industry while promoting sustainable growth of the sheep population
PENENTUAN PRIORITAS PENGEMBANGAN DESA WISATA RINTISAN KOTA PURWAKARTA MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY Lia Fitriyanti; Mochzen Gito Resmi; Dede Irmayanti
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.6849

Abstract

A Tourism Village can be understood as a village that organizes tourism activities due to the tourist attractions arising from the characteristics of the local community’s life, including various attractions available within the village itself. Each tourism village needs to be supported by tourist attractions, accessibility, and amenities, which include the potential of cultural tourism as well as natural tourism. The purpose of this research is to design and develop a Decision Support System for Determining the Priority of Pioneer Tourism Village Development using the Multi Attribute Utility Theory (MAUT) method. The urgency of this research lies in the need for DISPORAPARBUD Purwakarta to have a tool to assist in making strategic decisions related to the development of pioneer tourism villages. The methodology used in developing this system is the Waterfall model. The system is designed using PHP with the CodeIgniter 3 framework, MySQL as the database, and Unified Modeling Language (UML) for system modeling. The main criteria used in the MAUT calculation include public facilities, homestay management, local crafts, local arts, and local food. The results of the calculation using the MAUT method show that Batu Nunggal Margaluyu Tourism Village ranks first with a preference value of 100, Sasanakerta Tourism Village ranks second with a value of 96, and Sumbersari Tourism Village ranks third with a value of 90. Therefore, these three tourism villages are the best recommendations to be prioritized in the development of tourism villages in Purwakart
Co-Authors Agus Prastian Agus Sunandar , Muhamad Agus Sunandar, Muhamad Alamsyah, Dwi Rizky Amin Fauzi, Miftah Annisa Anggraeny Annisa Azzahra Asyfah Nabillah Ayunitasari, Fina Candra Dewi Lestari Candra Dewi Lestari Chandra Dewi Lestari Chandra Irawan , Dionisius Cucu Kardila Dadi Iskandar Dede Irmayanti Deden Sukma Hendrawan Defriani, Meriska Derry Asari Nuryadi Dewi Lestari, Candra Dira Nabila Zahra Fauzi, Ibnu Fiki Febianti Putri, Elga Fitriyanti, Lia Fitry Nur Yani Ghozali, Miftah Al Hafid, Moch. Herdian Mulyana, Iipandi Hermanto, Teguh Iman Imam Ma'ruf Nugroho Imam Ma’ruf Nugroho Indana Zulfa Nazmu Fadhilah Irsan Jaelani Ismi Kaniawulan, Ismi Jaelani, Irsan Khasanah, Afifa Nur Kurnia Widi, Wanda Lia Fitriyanti Lipandi Herdian Mulyana M. Agus Sunandar Masripah, Nunung Mayang Mentari, Adinda Ma’ruf Nugroho, Imam Meriska Defriani Meriska Defriani Meriska Defriani Moch Hafid T Moch Taufik Muhamad Rafi Muttaqin Muhammad Husni Tamyiz, Uus Muhammad Rafi Muttaqin Muhammad Rafi Muttaqin Nabillah, Asyfah Neng Leni Ratnasari Nunung Masripah Nur Anggraeni, Cindy Nur Yani, Fitry Nurul Azizah, Elma Nurul Hasanah Oki Fernanda Permana, Okta Amien Rafi Muttaqin, Muhammad Ramadhan, Yudhi Raymond Raymond Ramadhan, Yudhi Rizqullah, Naufal Salik Elhanan Siti Shintia Sri Andar Muni, Lise Syariful Alam Syariful Alam Uus Muhammad Husni Tamyiz Uus Muhammad Husni Tamyiz Yoga Setia Putra Zulpria Awaludin, Syahril