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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 Teknik Informatika (JUTIF) Jurnal Abdi Masyarakat Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa Indonesian Journal of Early Childhood Educational Research Inovasi Jurnal Pengabdian Masyarakat (IJPM) MUALLIMUN : JURNAL KAJIAN PENDIDIKAN DAN KEGURUAN Jurnal Pendidikan Sains dan Teknologi Terapan Jurnal Al-Husna
Norhikmah Norhikmah
Sistem Informasi, Fakultas Ilmu Komputer, Universitas AMIKOM Yogyakarta, Indonesia
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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

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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

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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

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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.
Implementation of the Levenshtein Distance Algorithm and the Regular Search Expression Method for Detecting Typors in Javascript Mu’alif Lihawa; Anggit Dwi Hartanto; Norhikmah Norhikmah; Donni Prabowo; Ika Nur Fajri; Wiwi Widayani
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (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.v12i2.2795

Abstract

Typing is an activity to write an article in printed form that has been assembled by a typewriter. With the rapid development of the times, typewriters were replaced by computers because they were efficient in making writing or text. a text or writing that is easy to understand in conveying information does not have word mistakes that result in unclear information being conveyed. In word processing applications such as Microsoft Office Word, it has the word suggestions and autocorrect word features which are very useful in checking an article where there are word errors in the writing. This research develops a javascript library to detect typo errors for writing wrong words and recommends the right words to change the wrong words. This study uses the Levenshtein Distance Algorithm and the Regular Search Expression method. The results of this study were successfully applied to the word recommendation feature in the library with an accuracy value of 50% and a precision level of 5%.
Problems of Learning the Qur’an in Early Childhood Education during the COVID-19 Pandemic Aghnaita, Aghnaita; Norhikmah, Norhikmah
Al-Athfal: Jurnal Pendidikan Anak Vol. 8 No. 2 (2022)
Publisher : Islamic Early Childhood Education Study Program, Faculty of Tarbiyah and Education, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/al-athfal.2022.82-04

Abstract

Purpose – The early learning of the Qur’an, infused with Islamic values, has been widely regarded as an effective tool in preserving the natural inclinations of children and nurturing their humanity. However, the ongoing COVID-19 pandemic has presented significant obstacles to Qur’an learning in Early Childhood Education (ECE) institutions. As such, this study seeks to offer a comprehensive description of the challenges faced by these institutions in delivering their teachings during this global health crisis.Design/methods/approach – The method used in this research is descriptive qualitative research. The location of this research was carried out at 4 ECE institutions. Namely: RA Al-Muslimun Nurul Islam, TKIT Asy-Syaamil Qur’anic Fullday School, Integrated Star Islamic Early Childhood Education, and RA Ulumul Qur’an Al Madani.Findings – The current COVID-19 pandemic has created significant challenges for learning the Qur’an in ECE. These issues can be categorized as internal and external factors. Internal factors relate to teachers’ difficulties when conducting practical learning activities outside the classroom. Meeting constraints, large class sizes, and limited time duration often result in an inability to deliver a complete learning experience. Externally, learning losses in early childhood have become apparent, with children experiencing behavioral changes. Not all parents are equipped to accompany their children in instilling Islamic values based on the Qur’an at home. This issue is compounded by parental objections to tuition fees, which creates financial challenges for institutions. Finally, offline learning has been the subject of criticism from the community, which indirectly affects the learning process.Research implications/limitations – This study used a qualitative method related to the problems of learning the Qur’an in ECE during the COVID-19 pandemic. Practical implications – The research presents significant implications for developing Al-Qur’an learning post-pandemic. It also provides valuable insights into formulating policies about Al-Qur’an learning during pandemics. Additionally, the study sheds light on the effectiveness of character building during the challenging times of the COVID-19 pandemic.Originality/value – Potential avenues for further investigation could include examining the effects of COVID-19 on the acquisition of Qur’anic knowledge during early childhood and its potential impacts on personality development. Such research could contribute to a deeper understanding of how the pandemic has influenced educational and psychological outcomes in this context. Paper type Research paper
Sistem Pakar Rekomendasi Pendakian Gunung di Jawa Tengah menggunakan Algoritma Fuzzy Tsukamoto Berbasis Website Anggun Pratiwi, Cut Tesya Iftillah; Norhikmah, Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17685

Abstract

Indonesia has a variety of unique tours both in terms of nature and history that can be used as tourist attractions for local and foreign people, with a variety of beauties that can be enjoyed. One of them is the mountainous area which presents views that can soothe and spoil the eyes in almost every area of Indonesia which has different characteristics of mountains, especially the island of Java, to be precise in the area of Central Java, has about 12 mountains which are usually used as climbing places for residents in or outside the region, in addition to helping the people's economy, climbing can also be used to protect nature and can introduce the beauty of nature in Indonesia to the international community. Therefore a system was created to recommend mountain climbing in the Central Java area based on a website using the Fuzzy Tsukamato method
Sistem Pakar Diagnosa Penyakit Berisiko Di Setiap Status Gizi Berdasarkan Indeks Massa Tubuh Menggunakan Metode Hy-brid Case Base Pratama, Rifqhy Rayhan Andi Riga; Norhikmah, Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17686

Abstract

Nutritional status is an indicator of health for a person which is divided into four classifications, namely, Obesity, Overweight, Normal Weight, and Underweight. and nutritional status can be obtained by calculating the body mass index (BMI) of the person by dividing the body weight (kg) by the height (m2). after knowing the nutritional status, a diagnosis can be made by applying the Hybrid Case Base method. Applicationing of this method is too precise because it can provide accurate diagnostic results because this method combines two methods, namely Case Based Reasoning and Rule Based Reasoning. With this expert system, it can help people to find out their nutritional status and whether they have a risky disease or not, especially for people who don't have a lot of free time to consult with doctors so they can do it only by using the expert system that has been created. This method is quite fast and practical and provides accurate diagnostic results as well.
Co-Authors Abda Abda Acihmah Sidauruk Afifah, Neela Aldis Gandi Mitra Sanjung Ali Mustofa Alvien Muhammad Kannabi Amalina, Inna Nur Anggit Dwi Hartanto Anggun Pratiwi, Cut Tesya Iftillah Arifin, Muhammad Nurul Ashari, Wahid Miftahul Donni Prabowo Dony Ariyus Fajri, Ika Nur Hairunnisa Hairunnisa Helmawati, Nita Husain, Aghnaita imadduddin, Imadduddin Koprawi, Muhammad Kusrini Kusrini Kusuma, Prita Widia M. Rudyanto Arief M. Yogi Riyantama Isjoni Mastha Cahyaningrum, Dewi Pratama Muharam, Fatta Musyarapah, Musyarapah Mu’alif Lihawa Mu’arif, Zidan Nita Helmawati Nor Latifah Nugroho, Adytyo Wahyu Nurma, Nurma Nurwijayanti Pirasintiya, Pirasintiya Pradana, Sulistyo Prasetyo, Rafli Ilham Pratama, Rifqhy Rayhan Andi Riga Pratama, Rifqy Rayhan Andi Riga Purwanto, Dimas Yudistira Randani, Randani Ratna Yulinda Rianda, Farhan Riski Rizka Mulya Miranti Rizky Febriyani Putri Rumini Rumini - Rumini Rumini Salsabila, Nur Syifa Setyaningsih, Adila Vidyana Arsanti Wiji Nurastuti Wiwi Widayani Yildiz, Emine Yulianti, Fintas