Article Per Year (5 Year)
p-Index From 2020 - 2025
4.388
P-Index
This Author published in this journals
All Journal Jurnal Simetris Sistemasi: Jurnal Sistem Informasi Creative Information Technology Journal Faktor Exacta AL-ATHFAL : JURNAL PENDIDIKAN ANAK Jurnal Mantik Penusa JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology Respati Madani : Indonesian Journal of Civil Society Jurnal Abdi Masyarakat Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa MUALLIMUN : JURNAL KAJIAN PENDIDIKAN DAN KEGURUAN Jurnal Al-Husna
Norhikmah Norhikmah
Sistem Informasi, Fakultas Ilmu Komputer, Universitas AMIKOM Yogyakarta, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 34 Documents
Search

 1   2   3   4 
Workshop Pembuatan Eco Enzyme untuk Hidup Sehat dengan Sarasa House Jogja Vidyana Arsanti; Norhikmah Norhikmah
Jurnal Abdi Masyarakat Indonesia Vol 2 No 5 (2022): JAMSI - September 2022
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.475

Abstract

Sampah terbagi menjadi 2 jenis yaitu sampah organic dan sampah non organik sampah organic terdiri dari sampah buahan dan sayuran dan banyak dihasilkan dari sampah rumah tangga. Sampah organic dapat dimanfaatkan sebagai bahan pembuatan eco enzyme, sayuran atau buahan yang digunakan terdiri dari 5 macam dan masih seger, tidak disaran menggunakan bahan yang kering seperti kulit salak, bau yang tajem seperti durian dan warna terang seperti buah naga. tahapan workshop yang pertama adalah sosialisasi terkait sejarah eco enzyme kedua demo terkait contoh produk-produk yang dihasilkan dari eco enzyme, workshop pembuatan eco enzyme yang terdiri dari 9 tahapan proses yang harus diperhatikan, serta evaluasi ekespriment dan hasil ekperimentnya dapat dilihat tiga bulan kemudian masing-masing peserta pelatihan mengirimkan hasil panen pembuatan eco enzyme, 86,67% dari peserta pelatihan dinyatakan berhasil, 13,33% sisanya masih belum berhasil disebabkan tutup wadah yang digunakan kurang rapat.
Implementation of the Fisher-Yates Shuffle Game Algorithm in Learning Hijaiyah Letters Alvien Muhammad Kannabi; Norhikmah M.Kom (SCOPUS ID: 57216417658)
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v11i3.2053

Abstract

In 2020 the Indonesian government and the world health agency (WHO) declared the Covid-19 virus a pandemic. As a result, some activities cannot be carried out offline, especially in learning activities. The government requires that learning activities be carried out online or online. The number of children who really need help to understand the learning material provided, for example, is a game which is one of the media in learning for children to make it more interesting in its delivery. With the aim of providing basic Koran education for early childhood with interactive and fun games and the application of the Fisher-Yates Shuffle algorithm in the quiz feature that is used to randomize hijaiyah letter questions. Stages of research 1). Collecting data using library studies, namely Iqra books and related research papers. 2). Game design using story board. 3). Application of the Fisher-Yates Shuffle algorithm. 4). Testing the Fisher-Yates algorithm, black box and question. The results obtained from 10 question and  96 respondents resulted in 89.5% concluding that the hijaiyah letter game uses the Android-based Construct 2 game engine. implementation of the Fisher-Yates Shuffle algorithm on the quiz feature is feasible to use.
Klasifikasi dan Pengaruh Trending Youtube Menggunakan Algoritma Neural Network dan Regresi Linear Norhikmah; Rumini .
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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

Abstract

The development of social media is very influential which includes Facebook, Instagram, Twitter, YouTube and others. One of them is the social media YouTube which has a very important role for the public and community leaders. Youtube provides very interesting content for those who have channels and those who do not. Trending or not a YouTube channel based on likes, dislikes, comments, and video views. Trending data from YouTube can be processed data. The data processing technique that can be used in the process is classification. Classification is a data processing technique that divides objects into classes. Using the backpropagation neural network algorithm in the classification process, which can determine Youtube trending with a very good and quite good ratio. a dataset of 40,880 obtained the best modeling obtained in neuron 10, layer 4, epoch 2000, with an MSE value of 0.03 and 87% validation, with a duration of 24 seconds, followed by a multiple linear regression test which resulted in the equation Y=0.788 + 4.914X1 + 9.458X2 - 1.977X3 - 4.418X4 + e where the more views and likes, the more trending youtube is, and the more dislikes and comments, the trending status of youtube decreases with a significance value of 0.000 which means it has a very significant relationship or at a strong level.
Pemilihan Program Studi Menggunakan Algoritma FP-Growth dan J48 Norhikmah; Rumini
Jurnal ICT: Information Communication & Technology Vol. 22 No. 1 (2022): JICT-IKMI, Juli 2022
Publisher : LPPM STMIK IKMI Cirebon

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

Abstract

The study program is an absolute thing and must be chosen by prospective new students when registering to become a student, the lack of knowledge of the courses offered by the campus becomes a difficulty in determining study programs that match their interests. The first research method of analyzing data uses the association rule to get the relationship of study programs with other study programs, and subsequently classifies the study program using decision tree j48, and is followed by examiners using confusion matrux. The results of this study are to use the association rule Fp-Growth method obtained 10 best rules, namely for the first rule D3 Informatics with International Relations. Of the 10 rules obtained as a reference or basis for determining classes on the j48 algorithm, from the results of the 10 rules, analyzed according to the rules applied in Amikom, then obtained into 11 classes where the rules are based on the origin of natural science or social studies schools. By using the j48 algorithm, 99.8% accuracy is obtained with the highest hierarchy in the decision tree, namely the D3 Informatics study program and for the origin school, namely IPS high school
Analisis Breadth-First Search dan Algoritma Certainty Factor untuk Diagnosa Penyakit Pada Mahasiswa Norhikmah; Nita Helmawati; Wiji Nurastuti
Jurnal ICT: Information Communication & Technology Vol. 23 No. 1 (2023): JICT-IKMI, Juli 2023
Publisher : LPPM STMIK IKMI Cirebon

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

Abstract

The problem that often occurs, especially among students, is a lack of knowledge about disease symptoms, which can lead to difficulties in making an initial diagnosis and require assistance from medical experts. Students often have busy schedules and do not have enough time to undergo regular health check-ups, resulting in symptoms of diseases being overlooked and not detected quickly. Some students may not have access to adequate healthcare services, especially those living in remote areas or outside the city. Students often do not realize the importance of maintaining their health and undergoing regular health check-ups, which can worsen their health conditions. Therefore, a system is needed to assist students in quickly and accurately diagnosing diseases. This research aims to develop a disease diagnosis system for students using the breadth-first search method and certainty factor algorithm. This method utilizes calculations based on similarity divided by predetermined weights. Certainty factor (CF) is a clinical parameter value provided by experts to indicate the degree of confidence in a fact or rule. In this study, disease symptoms are inputted into an expert system and calculated using the certainty factor method to diagnose the type of disease suffered by students. The research results show that the developed expert system successfully diagnoses the type of disease with an accuracy of 97.5%.
Upaya Peningkatan Manajemen Proyek Pada CV Nabila Zafira Mahalia Melalui Aplikasi Clickup Norhikmah Norhikmah; Wiji Nurastuti; Rumini Rumini; Acihmah Sidauruk
Madani : Indonesian Journal of Civil Society Vol. 5 No. 2 (2023): Madani, Agustus 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v5i2.1889

Abstract

At CV. Nabila Zafira Mahali (Nazma) the daily recap of the work of the creative team still uses Google Excel which is prone to data manipulation by people who are irresponsible and don't have a good history of data records, if someone makes a mistake. Recap for monthly reports takes quite a long time, if there is an error in awarding honorarium or there is data that is not appropriate then it is not immediately known by management, the creative team's daily work report has an indirect relationship to the finance department, or the part that regulates awarding honorarium, if the data entered is unclear or inappropriate, there will be a delay in awarding honorarium. Therefore training is needed in using the clickup application which can help the creative team's daily work recap. The process of implementing the training stages begins with an interview with director Nazma and documentation of the required data, followed by determining and creating training materials, and finally, continuing online training using Google Meet, with material using the click-up application, one of the template features, namely CRM (company management profile) in the template there is todo (work list), in progress (under construction), Ready (ready) and complete (finished) features, so that management can monitor the work of the creative team more clearly. In the results of the training evaluation, a score of 70% was obtained on the value of the questions on the benefits of training and project management control.
Gangguan Artikulasi pada Anak Usia 5-6 Tahun Neela Afifah; Norhikmah Norhikmah; Nor Latifah; Nurlaila Nurlaila; Randani Randani
Muallimun : Jurnal Kajian Pendidikan dan Keguruan Vol 1, No 2 (2021): Muallimun
Publisher : Institut Agama Islam Negeri Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/muallimun.v1i2.3970

Abstract

This study aims to describe the pronunciation problems in children aged 5-6 years in Islamic Kindergarten Nahdatul Ulama Palangka Raya. This study uses a qualitative method with a case study approach, with the research subjects of 2 children and 1 class teacher. using direct observation techniques, in-depth interviews, and documentation then analyzed using data reduction stages of data presentation and drawing conclusions. the results of this study indicate that the lack of understanding of educators in recognizing children's language development from an early age so that children do not get the proper treatment related to articulation disorders experienced. Early detection of growth and development is a way to prevent the occurrence of these disorders. The way that educators can do is to always monitor children's language development and collaborate with experts in their fields such as psychologists or therapists. In addition, teachers must also involve parents in every process of children's language development at school.Abstrak:Penelitian ini bertujuan untuk menggambarkan permasalahan pengucapan pada anak yang berusia 5-6 tahun di TK Islam Nahdatul Ulama PalangkaRaya. Penelitian ini menggunakan penelitian 2 orang anak dan 1 orang guru kelas. Teknik pengumpulan data pada penelitian ini menggunakan teknik observasi langsung, wawancara mendalam dan dokumentasi, kemudian dianalisis menggunakan tahapan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil dari penelitian ini menunjukkan bahwa kurangnya pemahaman pendidik dalam mengenali perkembangan bahasa anak sejak dini, sehingga anak tidak mendapatkan perlakuan yang seharusnya terkait gangguan artikulasi yang dialami. Deteksi tumbuh kembang sejak dini merupakan suatu cara pencegahan terjadinya gangguantersebut. Cara yang dapat dilakukan oleh pendidik adalah selalu memantau perkembangan bahasa anak serta bekerjasama dengan para ahli dibidangnya seperti psikolog ataupun therapis. Selain itu, guru juga harus melibatkan orangtua dalam setiap prosesperkembangan bahasa anak di sekolah.
Comparison of Phishing Detection Tests using the SVM Method with RBF and Linear Kernels Rumini Rumini; Norhikmah Norhikmah; Ali Mustofa; Sulistyo Pradana
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2882

Abstract

Phising adalah sebuah tindakan kriminal untuk mencuri informasi pribadi orang lain menggunakan entitas electronic, salah satunya adalah website. Informasi ini dicuri dari website yang telah diakses yang mengandung phising atau dengan kata lain masuk ke dalam kategori website phising. Tujuan dari web phising adalah membuat pengguna percaya bahwa mereka berinteraksi dengan situs resmi. Umumnya informasi yang dicari phisher (pelaku phising) adalah berupa username, password, baik itu akun media sosial atau akun nomor kartu kredit dengan cara diarahkan ke sebuah situs website palsu. Maka dari itu perlu adanya deteksi web phising yang berguna untuk melindungi user dari tindak pencurian informasi pengguna. Penelitian ini membahas dua kernel dalam metode SVM (Support Vector Machine) untuk deteksi web phising yaitu kernel RBF (Radial Basis Function) dan kernel linear. Akurasi yang didapatkan dengan ketiga kernel menghasilkan nilai akurasi yang berbeda-beda. Hasil akurasi pengujian sistem deketksi web phising dengan Kernel Linear sebesar 92.582 % dan Kernel Radial Basis Function sebesar 96.426 %. Akurasi paling tinggi dengan metode SVM untuk deteksi web phising yaitu menggunakan kernel RBF (Radial Basis Function).
Optimizing the Profile Matching Algorithm using the Analytical Hierarchy Process in the Selection of Teaching Assistants Nita Helmawati; Norhikmah Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3172

Abstract

The selection of the best practicum assistants is traditionally done through a conventional method, which involves voting by active students attending lab classes. However, upon evaluation, it was found that the results were not accurate. Some cases revealed that assistants were chosen based solely on popularity or recognition among the students, possibly influenced by physical appearance or public speaking skills in front of the class, while other important aspects were not considered. This situation could lead to social jealousy. The problem lies in the difficulty of combining evaluation criteria and determining the relative weights for each criterion in the process of selecting the best practicum assistants at the college. Additionally, there is a lack of objectivity in decision-making during the selection process, resulting in an unstructured and immature decision-making process. Therefore, this research aims to enhance the process of selecting the best practicum assistants at the college through optimizing the profile matching algorithm using the Analytic Hierarchy Process (AHP) method. AHP's role involves checking the weights and making paired comparisons to evaluate each criterion and determine the criterion weights. AHP is also utilized to ensure consistency in determining the weights. On the other hand, the role of profile matching is to provide accurate rankings or comparisons based on the suitability scores between the profiles of potential assistants and the reference profile. The combination of these two algorithms is expected to result in a more accurate selection of practicum assistants by effectively measuring the decision criteria weights. Therefore, the difficulty of combining evaluation criteria and determining the relative weights for each criterion can be minimized. Furthermore, optimizing the profile matching algorithm will enable a more objective decision-making process for selecting the best practicum assistants through more accurate rankings or comparisons based on the suitability scores with the reference profile. Based on this optimization, the collaboration of the two algorithms can achieve comparison results with an accuracy rate of 90%.
Rare Animal Recognition Applicaton Using Augmented Reality Technology And Marker Based Qr Code Fintas Yulianti; Norhikmah Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3361

Abstract

Indonesia has a rich diversity of animals, but the lack of media to introduce endangered species from various regions such as Java, Sulawesi, Bali, NTT and Kalimantan has led to a lack of awareness of their existence, which has led to the threat of extinction. The purpose of this research is to produce an Android application that utilizes Augmented Reality (AR) technology to introduce endangered species. The MDLC (Multimedia Development Life Cycle) method is used in this analysis, which consists of 6 stages: concept, design, collection of materials, assembly, testing, and finally distribution. The Unity Engine is used as the basis for Android applications. Augmented Reality (AR) is an effective learning tool for early childhood education, especially in the realm of endangered species education. In addition to introducing rare animals, the app will include quizzes as part of the game to increase knowledge about these animals.
Co-Authors Acihmah Sidauruk Adytyo Wahyu Nugroho Aldis Gandi Mitra Sanjung Ali Mustofa Alvien Muhammad Kannabi Anggit Dwi Hartanto Anggun Pratiwi, Cut Tesya Iftillah Arifin, Muhammad Nurul Dewi Pratama Mastha Cahyaningrum Donni Prabowo Fajri, Ika Nur Fintas Yulianti Hairunnisa Hairunnisa Husain, Aghnaita imadduddin, Imadduddin Kusrini Kusrini Kusuma, Prita Widia M. Rudyanto Arief Muharam, Fatta Mulyani Mulyani Muzakki Muzakki, Muzakki Mu’alif Lihawa Mu’arif, Zidan Neela Afifah Nita Helmawati Nita Helmawati Nor Latifah Nurlaila Nurlaila Nurma, Nurma Pirasintiya, Pirasintiya Pratama, Rifqhy Rayhan Andi Riga Pratama, Rifqy Rayhan Andi Riga Purwanto, Dimas Yudistira Randani Randani Rizka Mulya Miranti Rumini Rumini - Rumini Rumini Salsabila, Nur Syifa Setyaningsih, Adila Sulistyo Pradana Vidyana Arsanti Wiji Nurastuti Wiwi Widayani