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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Informasi dan Ilmu Komputer Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika SMARTICS Journal INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Zonasi: Jurnal Sistem Informasi Buana Information Technology and Computer Sciences (BIT and CS) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Infotek : Jurnal Informatika dan Teknologi Journal of Applied Data Sciences Jurnal Cahaya Mandalika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia International Journal of Computer and Information System (IJCIS) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Informatics and Communication Technology (JICT) Malcom: Indonesian Journal of Machine Learning and Computer Science JUSIFOR : Jurnal Sistem Informasi dan Informatika Innovative: Journal Of Social Science Research Jurnal Sistem Informasi dan Manajemen VISA: Journal of Vision and Ideas INTERNAL (Information System Journal) Journal of Informatics and Communication Technology (JICT) IKRAM: Jurnal Ilmu Komputer Al Muslim
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Penilaian Kepuasaan User dalam Menggunakan APlikasi SIM ASN Menggunakan Metode Website Quality: Teknik Informasi Kasuma, Hidayatul Rahman; Huda, Baenil; Hilabi, Shofa Sofiah
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.4913

Abstract

Implementation of the State Civil Apparatus Management Information System (SIM ASN) is a must. The ASN SIM is not only an administrative tool, but is a digital ecosystem that integrates all personnel application services. The problem that occurs in the ASN SIM application is that users find it difficult to complete the complete history requested by the ASN SIM in the personnel database to update employee data history. The aim of this study is to assess the impact of three factors on user satisfaction: application quality, user-friendliness, and interaction quality. The evaluation process is based on the Website Quality technique, which takes into account multiple aspects of website quality, such as as information content, security, usability, speed, and interface design. Respondents in this study were frequent users of the ASN SIM Application. Questionnaires were used to gather information about user opinions and experiences with the quality of the program. To characterize the degree of user satisfaction and the variables influencing it, data analysis was carried out using both statistical and qualitative methodologies. In order to enhance the user experience and efficacy of using the ASN SIM Application in the everyday work environment, it is intended that the research findings will offer comprehensive insight into the areas that require further development. This study adds to the body of knowledge about user satisfaction evaluation in the context of government apps and may serve as a model for future research on the subject.
Peningkatan Minat Digital Skill Menggunakan Algoritma K-Medoids Clustering Pada Karyawan Zulfiana, Rizka; Hilabi, Shofa Shofiah; Nurapriani, Fitria; Huda, Baenil
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.4994

Abstract

General Company for Printing Money of the Republic of Indonesia is one of the state-owned enterprises that prints banknotes and other official documents. Perum Peruri also wishes to gain more insight into the technology implemented in the company. The demand for a workforce skilled in the use of technology in the work environment continues to increase over time. Perum Peruri has 16 Digital Skill categories, each of these categories has a high, medium to the lowest interest. In this problem, the data taken has not been grouped, so there is a lack of information about the number of categories that have the highest to lowest interest. By analyzing the specialization data, it will help determine which categories need improvement. The categories in Digital Skills specialization can then be improved by using this information as a reference for designing improvement strategies. Research was conducted using clustering to determine the number of categories that Perum Peruri personnel are interested in. In this study, sales data in Excel format was analyzed, and clusters based on product sales data were created using the K-Medoids approach. Sales information obtained from secondary data that manages employee specialization. Using RapidMiner, the accuracy for the three clusters designated as highest, middle, and lowest based on the clustering results was ascertained. The first cluster of 16 items analyzed consisted of 7 items with the highest ranking, the second cluster had 5 items categorized as medium, and the third cluster had 4 items classified as the lowest. Based on the results, 4 items were categorized as low, indicating the need for a socialization approach to increase interest in the Digital Skill.
Determination of Training Participants in Community Work Training Centers Using the Naïve Bayes Classifier Algorithm Hananto, April Lia; Hananto, Agustia; Huda, Baenil; Rahman, Aviv Yuniar; Novalia, Elfina; Priyatna, Bayu
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.1995

Abstract

Community work training centers are skills training institutions that aim to improve the skills of the surrounding community by providing training programs that align with industry needs. Registration of training participants at the Al-Ikhwan Islamic Boarding School community work training centers often faces obstacles, namely, the selection process is still manual, so it takes a long time, and there is a possibility of errors. This study aims to apply the Naive Bayes Classifier Algorithm to determine whether applicants pass training at the Al-Ikhwan Islamic Boarding School community work training centers. This classification method is used to help optimize the applicant selection process by considering administrative factors, income, and training quotas. RapidMiner software is used as a tool to implement the algorithm. This study found that the Naive Bayes Classifier Algorithm can provide good accuracy results in determining applicants who pass the training selection. The test results show that the resulting model has an accuracy of 90.00% in determining passing training participants with data that has the highest chance of passing, namely data that has the attributes of the female gender, age 20 years, last education Senior High School/Vocational High School, student work/student, income 364,912, father's work as laborer, father's income 3912,280, mother's work as an IRT, and mother's income 885,964. This research increases efficiency and accuracy in determining training applicants at the Al-Ikhwan Islamic Boarding School community work training centers.
RANCANG BANGUN SISTEM INFORMASI E-COMMERCE AYAMSEGAR.ID MENGGUNAKAN METODE PROTOTYPE PADA UMKM Atmaja, Rashelin Zahra; Hananto, Agustia; Huda, Baenil; Hananto, Aprilia
Jurnal Informatika Vol 9, No 4 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i4.14469

Abstract

Transformasi digital telah menjadi kebutuhan mendesak bagi UMKM di era industri 4.0, terutama dalam aspek pemasaran dan layanan pelanggan. Penelitian ini bertujuan untuk merancang sistem informasi e-commerce berbasis website pada UMKM Kurnia Farms dengan menggunakan metode prototype. Proses pengembangan dilakukan secara iteratif, dimulai dari identifikasi kebutuhan, perancangan sistem, implementasi prototype, hingga evaluasi oleh pengguna. Pengumpulan data dilakukan melalui observasi, wawancara, studi pustaka, dan pengujian usability menggunakan System Usability Scale (SUS). Hasil implementasi menunjukkan bahwa sistem berhasil memenuhi kebutuhan pengguna dalam pengelolaan produk dan transaksi secara digital. Evaluasi usability menghasilkan skor SUS sebesar 87.5 yang termasuk dalam kategori Excellent Usability, menandakan bahwa sistem mudah digunakan dan sesuai dengan ekspektasi pengguna. Sistem ini dinilai dapat menjadi solusi digitalisasi yang efektif dan terjangkau bagi UMKM serupa.
Sistem Pemilihan Supplier Obat Menerapkan Metode Additive Ratio Analysis (ARAS) Al Khadzik, Fahmi; Huda, Baenil; Novalia, Elfina; Hilabi, Shofa Shofiah
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 3 (2024): Maret 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7499

Abstract

Qita Sehat pharmacy provides a wide range of medicines that are supplied by more than 30 suppliers and 100 buyers every month, but not all suppliers can meet the criteria set by pharmacies and suppliers are often late in the process of supplying drugs to pharmacies so that the stock in pharmacies is running low. From these problems, a solution is made, namely a drug supplier selection system is made by determining the priority order of drug suppliers with several criteria that match the availability of drugs at Qita Sehat pharmacies. The method used is the method of ARAS (Additive Ratio Analysis). The criteria considered are price, quality, lead time, communication systems, performance history and repair services. The result of this method is the order of priority of drug suppliers and knowing the results of the questionnaire through the sensitivity test that is the influence of changes in the value of the importance of the criteria. From the data generated in research using the ARAS method, the results obtained are that PT Javas Karya is the best supplier with the first rank of alternative A6 with a total value of 0.120.